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ORIGINAL RESEARCH article

Front. Psychol., 04 January 2023
Sec. Environmental Psychology

The effect of COVID-19 risk perception on pro-environmental behavior of Chinese consumers: Perspectives from affective event theory

  • 1School of Economics and Management, Zhoukou Normal University, Zhoukou, Henan, China
  • 2Asia-Europe Institute, University of Malaya, Kuala Lumpur, Malaysia

Introduction: COVID-19 has altered human cognition and changed the cultural values of society. However, there has not been much debate among scholars about whether these above changes have led to an increase in pro-environmental behavior (PEB) of Chinese consumers.

Methods: A comprehensive model was developed based on affective event theory. An online questionnaire was distributed, and 501 usable questionnaires were collected. In addition, two complementary approaches were employed: partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA).

Results: The PLS-SEM results showed that COVID-19 risk perception, nostalgia, the awe of nature, and attitude were found to have a positive effect on PEB; and the moderating effect of power distance belief (PD) between nostalgia (NO), attitude (AT) and PEB was confirmed. According to the NCA results, AT and NO are necessary conditions for the PEB of consumers.

Discussion: This study provides deeper insight into the understanding of consumers’ pro-environmental behavior in the context of COVID-19 through the combined use of PLS-SEM and NCA.

1 Introduction

Urbanization and industrialization have had many negative impacts on ecosystems and human health, such as global warming, air pollution, urban waste, and loss of biodiversity, primarily due to the imbalance between human social development and ecological governance (Rosenmann et al., 2016; Alzubaidi et al., 2021). As a result of this unsustainable development mode combined with the destruction of the environment, a plague pandemic was eventually released that threatened public health as well as environmental safety around the globe (Daryanto et al., 2022; Zebardast and Radaei, 2022). Some scholars believe that COVID-19 is the revenge of nature due to the overacquisition of nature and the consumption of wild animals by humans (Cave and Dredge, 2020; Li et al., 2020; Liu et al., 2021). Global economies and societies have been impacted greatly by the COVID-19 crisis (Severo et al., 2021a; Milfont et al., 2022a). For example, in China, a widespread lockdown of cities, restrictions on public transportation and personal movement have been imposed by the Chinese government to prevent the spread of COVID-19 (Chen et al., 2020). Nevertheless, COVID-19 is also a turning point in promoting public awareness of the relationship between climate change, health, and sustainable living, as well as accelerating sustainable consumption (Ramkissoon, 2020; Tchetchik et al., 2021; Milfont et al., 2022b). Actually, a number of changes have taken place in the way consumers live and think due to the outbreak of COVID-19 (Büssing et al., 2021; Sun et al., 2022; Yang et al., 2022). As environmental degradation continues to worsen, an increasing number of consumers are becoming aware that individual behavior has a substantial impact on environmental problems (Schwartz et al., 2020; Moon et al., 2021). In addition, it is becoming increasingly common for people to reflect on and re-evaluate their relationship with the environment (Shakil et al., 2020; Mi et al., 2021). Therefore, it is crucial to explore the key factors influencing consumers’ pro-environmental behavior in the context of COVID-19.

Over the last decade, scholars have become increasingly interested in consumers’ pro-environmental behavior (Figure 1). A large and growing body of literature has investigated the antecedents of pro-environmental behavior, such as attitude (Alzubaidi et al., 2021; Sun et al., 2022), personal motivation (Yang et al., 2022), environmental knowledge and awareness (Chen et al., 2022), social and personal norms (Pearce et al., 2022), personality and environmental values (Simpson et al., 2021), self-efficacy and self-identification (Huang et al., 2022; Sharma et al., 2022b). Although scholars have provided explanations and insights based on a variety of theories and perspectives, some areas of research remain to be explored. First, a majority of previous studies regarding pro-environmental behavior have concentrated on individual psychological factors; however, these psychological factors may not be as important in predicting actual pro-environmental behavior as previously thought (Nielsen et al., 2022). Therefore, to promote pro-environmental behavior, it may be necessary to look beyond individual motivations to uncover some unexplained differences in attitude-behavior models by gaining a deeper understanding of how external factors influence behavior (Sun et al., 2019; Linder et al., 2021), for example, COVID-19.

FIGURE 1
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Figure 1. Interest in pro-environmental behavior research over the past decade.

Second, there has been a surge of interest in the impact of COVID-19 on pro-environmental behavior recently; however, the relationship between COVID-19 risk perception and pro-environmental behavior is not clear, and the results of some previous studies have been contradictory (Mi et al., 2021; Urban and Braun Kohlova, 2022). The COVID-19 pandemic presents a significant threat to humanity and raises issues about the ecological ethics of humans (Zebardast and Radaei, 2022). During the postpandemic era, people live in the shadow of the pandemic and continue to experience the various negative effects of the pandemic. The social cognition and behavior of individuals may be significantly altered by major external environmental events such as COVID-19 (Chen, 2020b; Zebardast and Radaei, 2022), and it has been found that people’s behavior varies considerably in different contexts (Wu et al., 2021). Therefore, it is necessary to further understand the relationship between the cognitive response to COVID-19 (i.e., COVID-19 risk perception) and consumer pro-environmental behavior from a new theoretical perspective.

Third, there is a relatively small body of literature that is concerned with the relationship between COVID-19 risk perception and consumer sentiment, such as nostalgia, environmental guilt, and awe of nature (Mi et al., 2021; Sun et al., 2021a; Kim et al., 2022). Individuals will not always act rationally (Koenig-Lewis et al., 2014; Sun et al., 2022); as a result, pro-environmental behavior is not always the result of a reasonable thought process or response to the environment (Gezhi and Xiang, 2022). Irrational factors such as emotions are ignored, which are to some extent more important than rational cognitive factors (Koenig-Lewis et al., 2014; Sun et al., 2021b). According to affective event theory, significant events in work scenarios can have an impact on employees’ emotions, and the positive and negative emotions generated by employees can have a significant impact on individuals’ attitudes and behaviors (Weiss and Cropanzano, 1996). Therefore, consumers’ behavior patterns may change when they are in the pandemic environment of COVID-19, considered a major external event that consumers have to contend with (Mi et al., 2021). As an important external factor, will people’s experiences and perceptions of the risks caused by COVID-19 prompt a profound reflection on existing eco-ethical issues such as the relationship between humans and nature, as well as a further improvement in the practice of pro-environmental behavior? Surprisingly, there has been insufficient attention given to this issue by researchers (Chi, 2021; Urban and Braun Kohlova, 2022).

To fill the aforementioned research gaps, three research questions were focused on. RQ1. What is the effect of COVID-19 risk perception on consumers’ emotions (i.e., nostalgia, guilt, and awe) and on attitude and pro-environmental behavior? RQ2. How does power distance belief (PD) moderate the relationships between emotions (i.e., nostalgia, awe), attitude, and pro-environmental behavior? RQ3. What is the necessary factor of the pro-environmental behavior of consumers in the context of the COVID-19 pandemic? To solve these research questions and obtain a more comprehensive understanding of the causal relationship between the variables, this study uses two complementary research methods to explore the mechanisms influencing consumer pro-environmental behavior from the dual perspective of adequacy (PLS-SEM) and necessity (NCA). In addition, a rigorous model was constructed based on affective event theory. Affective event theory, derived from organizational behavior, focuses on the emotional impact of work events on employees, whose positive and negative emotions, in turn, influence their attitudes and behaviors. Analogous to employees’ work events, we treat COVID-19 as a major external shock faced by consumers and explore the cognitive and emotional responses to external environmental events and how these responses affect consumers’ attitudes and behaviors. This study contributes to existing knowledge in terms of developing pro-environmental behavior research within the context of affective event theory and in light of the perception of risk associated with COVID-19. In particular, we examine how consumers’ cognitive response to external event shocks (COVID-19 risk perception) affects three consumer emotions (guilt, awe of nature, and nostalgia), which influence their attitudes toward environmental protection and pro-environmental behaviors. In addition, we further narrowed the attitude-behavior gap in the current pro-environmental behavior study by adding a cultural contextual factor (power distance).

2 Literature review and hypothesis

2.1 Pro-environmental behavior

Any behavior that benefits the environment or that strives to harm the environment as little as possible without causing significant harm to the environment is considered pro-environmental behavior (Kollmuss and Agyeman, 2002). In summary, a wide range of factors have been examined in the past to explore the factors influencing pro-environmental behavior, including sociodemographic characteristics, rational cognitive factors, and external situational factors. Scholars have focused on demographics in terms of gender (Sreen et al., 2018; Li et al., 2019), age (Wiernik et al., 2013), educational level (Gifford and Nilsson, 2014; Meyer, 2015), and income level (Meyer, 2015; Lim and Moon, 2022). In regard to rational cognitive factors, attitudes, norms, motivation, beliefs, and values play an important role (Poortinga et al., 2004; Gilg et al., 2005; Polonsky et al., 2012; Casaló et al., 2019; Punzo et al., 2019; Chen, 2020a; Gu et al., 2020), and the majority of these studies are based on the Theory of Planned Behavior (TPB), the Normative Activation Model (NAM), and the Value-Belief-Normative Theory (VBN). Additionally, external situational factors include infrastructure, individual capabilities, availability of technical equipment and products, governmental enforcement, public media, culture of society, and economic conditions (Tanner, 1999; Corraliza and Berenguer, 2000; Haddad, 2015; Sun et al., 2018; Shi et al., 2019; Zhou et al., 2019; He and Filimonau, 2020; Kaiser, 2021).

2.2 COVID-19 risk perception

Risk perception is considered a value judgment related to the uncertainty caused by a particular risk (Tversky and Fox, 1995) and can be understood from both cognitive and affective perspectives. People’s perceptions of COVID-19 risk are influenced by the danger it poses to their lives and health, which in turn influences their coping strategies and behavioral changes (Shulman et al., 2022). In addition to having a significant impact on the normal functioning of society, COVID-19 has also had profound effects on human social cognition and emotions (Sun et al., 2021b; Lawrance et al., 2022).

COVID-19 has had a significant impact on the economy and lives of humans. The widespread lockdown triggered feelings of boredom and loneliness (Zhou et al., 2022), making people nostalgic for the past (Gibbs and Egermann, 2021; Xia et al., 2021). A sense of awe is associated with perceived grandeur, which means that the individual has encountered something shocking. Second, the feeling of awe triggers a need for adaptation, i.e., the individual’s existing mental structure is insufficient to comprehend the awe-inspiring object (Keltner and Haidt, 2003). Additionally, widespread social blockades and restrictions on social distance have altered the way people live and consume (Vázquez-Martínez et al., 2021), which is consistent with the two core characteristics of awe-inspiring emotions. In addition, human arrogance and excessive claims of nature have led to an imbalance in the relationship between humans and nature, which has resulted in the COVID-19 pandemic. Consumers will be upset when they see the destruction of the ecological environment and serious social consequences, believe that humans are responsible for it, and feel guilty for not taking action to improve the environment (Lawrance et al., 2022). To alleviate this sense of guilt, individuals may engage in compensatory behaviors, such as green purchasing and pro-environmental behavior.

Previous studies have indicated that information and sensitivity about global crises such as COVID-19 positively impact individuals’ knowledge, attitudes, perceived behavioral control, and motivation and provide a basis for encouraging environmentally responsible behavior (Sun et al., 2022; Zebardast and Radaei, 2022). In addition, according to protective motivation theory, consumers’ perception of COVID-19 risk makes individuals vulnerable and feel that their lives and health are threatened; this state, in turn, shifts an individual’s focus from materialism to pro-social values (Shulman et al., 2022). Consumers may be inclined to minimize social contact due to the perceived risk of COVID-19 (Im et al., 2021), which may result in a preference and a greater sense of connection with the natural environment. It is possible that individuals may be more inclined to act in an environmentally friendly manner as a result of this perceived connection (Tam, 2013). It has also been shown that perceptions of COVID-19 risk and vulnerability stimulate empathy in individuals, and the emotion of empathy is an important psychological factor in motivating pro-environmental behavior (Yin et al., 2021; Ienna et al., 2022). Therefore, it is hypothesized that:

H1a: COVID-19 risk perception has a positive and significant effect on nostalgia.

H1b: COVID-19 risk perception has a positive and significant effect on guilt.

H1c: COVID-19 risk perception has a positive and significant effect on the awe of nature.

H1c: COVID-19 risk perception has a positive and significant effect on pro-environmental behavior.

2.3 Nostalgia, guilt, and awe of nature

The emotion of nostalgia serves key psychological functions as a positive, self-relevant, and social emotion (Sedikides et al., 2008). Nostalgia is a psychological variable that stimulates emotions and cognition; it can trigger positive actions or behavioral tendencies; and it can enhance social connection, facilitate social interaction, and serve as a catalyst for social interaction (Srivastava et al., 2022). The experience of nostalgia is often associated with positive emotions, allowing people to mentally escape the fast pace of modern life and return to an earlier time for solace. Temporary escapes provide psychological buffers and promote positive emotional and social relationships. In addition to providing a sense of presence, it enhances the sense that one is living a meaningful life (Zhang et al., 2021) and helps increase social connectedness and promote pro-social behavior (Christou et al., 2018). In addition to expressing the inner self through nostalgia, consumers become concerned about the welfare of others and develop greater empathy, while focusing on the inner self predicts more altruistic behaviors, including pro-environmental behaviors (Newman et al., 2014). However, few studies have explored the role of nostalgia in consumer pro-environmental behavior. Zhang et al. (2021) found that the emotion of nostalgia creates a sense of meaning in life, which in turn encourages consumers to invest in more sustainable recycling practices. Similarly, Wang et al. (2020) found that consumers’ product disposal behavior is affected differently by individual and collective nostalgia because they trigger different mechanisms.

Typically, guilt is a negative experience that occurs when an individual engages in moral reflection and takes responsibility for his or her actions after having hurt others, which plays an important role in prosocial behavior (Eisenberg et al., 2005; Teper et al., 2015). Compensatory ethics theory suggests that when an individual commits an unethical act, he or she will experience a strong sense of discomfort, which is caused by guilt (Zhong et al., 2010). The emotion of guilt plays an important role in influencing the attitude and behavior of the pro-environment (Escadas et al., 2019), and researchers have also explored how guilt affects individuals’ pro-environmental behavior as a type of pro-social behavior. Bamberg and Möser (2007) concluded, from a meta-analysis of 57 articles, that the feeling of guilt was one of the eight core variables that influence pro-environmental behavior. It is important to note that consumers’ feelings of guilt indicate that they have not achieved behavioral goals (e.g., environmentally friendly behaviors), which can drive motivation and change in attitudes toward environmentally friendly behaviors (Adams et al., 2020). It has also been shown in recent research that guilt plays a vital role in the change of attitudes toward environmental protection and the promotion of environmental behavior (Adams et al., 2020; Eom et al., 2021; Shipley and van Riper, 2021; Haj-Salem et al., 2022).

Awe is an emotional reaction to a stimulus that is perceived as powerful, vast, and beyond an individual’s cognitive abilities (Keltner and Haidt, 2003). This study defines awe as a self-transcending positive emotion that allows individuals to pay more attention to their surroundings than to themselves (Stellar et al., 2017; Zhao et al., 2018). There is evidence that awe leads to a number of positive effects on an individual. From a cognitive perspective, awe not only expands an individual’s perception of time’s abundance (Rudd et al., 2012) but can also lead to systematic cognitive processes. As a positive emotion of self-transcendence, awe enables individuals to extend their self-concept to pay more attention to their surroundings and outside world (Piff et al., 2015; Stellar et al., 2017; Zhao et al., 2018), and an individual’s pro-environmental behavior is stimulated when the natural environment is integrated into their self-concept (Schultz, 2001). By transforming the notion that humans are not above nature (Wang et al., 2019) but instead are part of the natural world, individuals feel that they are not isolated, resulting in an inescapable sense of responsibility for existing environmental consequences, which in turn promotes individual pro-environmental behavior (Jacobs and McConnell, 2022). Individuals with this mindset tend to be more conscious of the consequences of their actions, re-examine the relationship between humans and nature (Wang et al., 2019), and change their attitudes toward nature. From an emotional perspective, awe can also bring spiritual pleasure to individuals (Rudd et al., 2012), thereby enhancing their prosocial behavior (Prade and Saroglou, 2016). Therefore, it is hypothesized that:

H2a: Nostalgia has a positive and significant effect on pro-environmental behavior.

H2b: Nostalgia has a positive and significant effect on attitude.

H3: Guilt has a positive and significant effect on attitude.

H4a: Awe of nature has a positive and significant effect on attitude.

H4b: Awe of nature has a positive and significant effect on pro-environmental behavior.

2.4 Attitude

A person’s attitude toward the environment has a significant impact on his or her behavior and intentions in relation to the environment (Cheung and To, 2019). Despite the fact that scholars acknowledge the discrepancy between consumers’ attitudes and actual behavior (Yadav et al., 2019), environmental attitude is still considered to be one of the best predictors of actual environmental behavior (Herbes et al., 2020; Felix et al., 2022). According to the theory of planned behavior (Ajzen, 1991), an individual’s behavior can be effectively controlled by his or her inner subjective consciousness and is a rational decision. An individual’s behavioral attitudes influence their behavioral intentions, which in turn influence their actual behavior. In terms of cognitive dissonance theory, people tend to act on their beliefs to avoid mental discomfort (Festinger, 1962). It appears that people with a higher level of environmental awareness demonstrate more pro-environmental behaviors (Lin et al., 2022). Therefore, it is hypothesized that:

H5: Attitude has a positive and significant effect on pro-environmental behavior.

2.5 Power distance belief

The concept of power distance is a cultural value that reflects the individual’s acceptance of the gap in power (Hofstede, 1984, 1989). In social cultures where power distance is generally high, vertical hierarchical relationships are strongly felt. As a result of accepting power differences, individuals are expected to act in accordance with their position in the social hierarchy and maintain the existing state of power distribution, and they may maintain this position in the social hierarchy. Compared to Westerners, Chinese people are heavily influenced by Confucian culture and tend to have a higher power distance orientation (Thompson et al., 2020). Due to the long-term influence of Confucian culture and the high-powered distance society, individuals view inequality as justified as a result of power distribution, and higher-ranking individuals will receive greater “rent-seeking,” resulting in an unequal distribution of income. As a result, Chinese consumers not only subconsciously accept their social class and position but also link their social responsibility to their social status. In light of the high cost of pro-environmental behavior (Wang and Chao, 2019; De Silva et al., 2021), many Chinese residents view pro-environmental behavior as a greater social responsibility that should be borne by external forces with more wealth and power, such as celebrities, large corporations, or the central government (Dendler and Dewick, 2016; De Silva et al., 2021).

Despite the fact that the Chinese have a high PD, there is a wide variation in the degree to which individuals accept unequal power distributions within institutions and organizations (Kirkman et al., 2009; Mi et al., 2020). As a result, individuals with high PDs are more sensitive to the concept of social status than those with low PDs (Kaynak et al., 2013). Previous research has indicated that emotions influence attitudes and behavior differently depending on cultural values (Onwezen et al., 2014). According to their study, both anticipated pride and guilt have an effect on environmental behavior; however, the extent of this effect varies between individuals in individualistic and collectivist countries (Onwezen et al., 2014). Therefore, the present study suggests that even individuals with the same attitudes and specific emotions may still exhibit inconsistent pro-environmental behaviors in different power distance contexts, implying that power distance moderates the relationship between attitudes and specific emotions and pro-environmental behaviors. As a result, it is hypothesized that:

H6a: Power distance weakens the relationship between nostalgia and pro-environmental behavior.

H6b: Power distance weakens the relationship between attitude and pro-environmental behavior.

H6c: Power distance weakens the relationship between awe of nature and pro-environmental behavior.

H6d: Power distance weakens the relationship between COVID-19 risk perception and pro-environmental behavior.

In sum, based on affective event theory, we developed a rigorous model. The conceptual model in Figure 2 includes cognitive elements, emotional elements, and contextual cultural influences that impact consumer behaviors.

FIGURE 2
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Figure 2. Conceptual framework.

3 Data collection, measurements, and samples

Due to the social distance restrictions in China, face-to-face interviews should be avoided; thus, this research was conducted online. Referring to the data collection procedure of previous studies (Mi et al., 2021; Hua and Dong, 2022; Xiang et al., 2022), the pilot study and formal survey were conducted through “WJX,” a famous online platform in China. To protect the privacy of the participants and to mitigate the effects of social desirability bias, we stated in the questionnaire that the data collection was for academic research only, that the research was anonymous and that all information would be kept strictly confidential. To ensure the quality of the questionnaire, an honorarium of 5–10 RMB (roughly 0.7–1.6 dollars) was awarded to each participant who answered the questionnaire.

Prior to conducting the formal survey, a pilot study was conducted to ensure the reliability and validity of the measurement scale. A total of 55 questionnaires were distributed through the online platform, the feedback collected from the pre-study was summarized, and the semantics and expressions of some scales were modified and adjusted appropriately. After the deletion of some questions, all the scales in the pilot study passed the reliability and validity tests and formed the final questionnaire. Before the formal survey, a priori power analysis was conducted in G power 3.1.9.6 to determine an appropriate sample size. With a medium effect size of 0.15 (Ducoffe, 1995), an alpha of 0.05, and a power of 0.90, a sample size of 146 was needed for the following study. The formal study was conducted in April 2022 and lasted for 1 month. After filtering for straight lining and missing data, 44 responses were deleted from a total of 545 questionnaires. Finally, 501 valid questionnaires were collected. Compared with the required sample size in G power, our sample size was deemed appropriate. As convenience sampling is widely used in marketing, consumer behavior and social science research (Santos and Gonçalves, 2019; Gupta et al., 2020), it is considered acceptable considering population size, time, and cost to use the convenience sampling technique (Kapoor and Dwivedi, 2020).

A questionnaire was developed to evaluate the effects of COVID-19 on pro-environmental behaviors (Supplementary Appendix 7). The proposed conceptual model was tested using widely used and validated measurement items, including COVID-19 risk perception (O’Connor and Assaker, 2022), nostalgia (Wildschut et al., 2006), guilt (Ágoston et al., 2022), awe of nature (Shiota et al., 2006), attitude (Qin and Hsu, 2022), power distance (Yoo et al., 2011), and pro-environmental behavior (Stern, 2000). Research items were measured using a five-point Likert scale (1 being highly disagree and 5 being highly agree). In addition, four demographic variables, namely, gender, age, education level, and monthly income status (RMB), were selected as control variables. The demographic characteristics of the respondents are summarized in Table 1.

TABLE 1
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Table 1. Sociodemographic profile of respondents.

4 Results

The proposed model was tested using multiple methods. The normality of the data was assessed by using a one-sample Kolmogorov–Smirnov (KS) test. In Supplementary Appendix 4 and the QQ plot (Supplementary Appendix 5), it appears that the two-tailed p-values are below 0.05, which indicates that the distribution does not follow a normal distribution. We then used partial least squares structural equation modeling (PLS-SEM) to calculate the net effect of independent variables due to its resilience to non-normal distributions (Hair et al., 2019).

4.1 PLS-SEM result

4.1.1 Common method bias

To reduce the influence of common method bias (CMB) on the study results, the English scales extracted from foreign literature were back translated, and accurate language expressions were presented to the respondents through repeated comparisons and corrections, thus reducing the possibility of errors due to language expression ambiguity. In addition, as a statistical test, we conducted Harman’s single factor to determine whether CMB was present using SPSS 26, and seven factors in this study were combined to produce a single factor. The result showed that the newly formed factor explained 39.506% of the variation, which is less than the 50% requirement (Podsakoff et al., 2003; Leong et al., 2020b). In addition, to further confirm that CMB is not a problem, we calculated the substantive variance and the method variance by converting each item into a single-item second-order construct (Podsakoff et al., 2003). According to Table 2, the average substantively explained variance of the indicators is 0.881, while the variance based on the average method is 0.013, with most factor loadings not significant. Furthermore, the ratio 60:1 between the substantive variance and the method variance confirms the lack of concern regarding CMB (Leong et al., 2020a). Additionally, as shown in Figure 3, there was no particularly high correlation between the variables in this study (r > 0.9). This indicates that CMB does not pose a threat to our findings (Bagozzi et al., 1991). In summary, based on the analysis above, CMB is not an issue in this study.

TABLE 2
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Table 2. Common method bias analysis.

FIGURE 3
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Figure 3. Correlation between variables.

4.1.2 Assessment of the measurement model

The PLS-SEM measurement model is evaluated based on three criteria: reliability, convergent validity, and discriminant validity (Fornell and Larcker, 1981). According to Hair et al. (2021), Cronbach’s alpha, composite reliability (CR), and rho_A can be used to measure internal consistency. All three values exceeded the accepted cut-off point of 0.7 (Hair et al., 2014), demonstrating the reliability of the scale (Table 3). In assessing the convergent validity of a measurement model, researchers can use the outer loading (>0.708) and the average variance extracted (AVE) scores (>0.5) of each observed item (Fornell and Larcker, 1981; Bagozzi et al., 1991). Table 3 shows that all items exceeded the acceptable value, indicating the study had convergent validity.

TABLE 3
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Table 3. Assessment of the reliability and convergent validity.

To assess the discriminant validity, two types of assessments were conducted: the Fornell-Larcker criterion (Fornell and Larcker, 1981) and heterotrait-monotrait ratios (Henseler et al., 2015). The Fornell-Larcker criterion examines the correlation coefficient between the square root of the mean variance extraction and other latent variables of the measurement model. To satisfy the Fornell-Larcker criteria, the AVE of one latent variable must be larger than the squared correlation with the other latent variable (Fornell and Larcker, 1981). Table 4 shows that the criteria have been met. The HTMT value is calculated by comparing the mean cross-correlation coefficient between observed variables of different latent profiles to the mean correlation coefficient between observed variables of the same latent profile. Discriminant validity is established if the value of HTMT is less than 0.85 (Henseler et al., 2014) or 0.90 (Carrión et al., 2017). As seen in Table 4, all obtained values are below 0.85, demonstrating good discriminant validity.

TABLE 4
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Table 4. Assessment of the discriminant validity.

4.1.3 Assessment of the structural model

Initially, the structural model was examined for collinearity by examining the variance inflation factors (VIFs) of all predictor constructs. In Table 5, it is evident that all variables’ VIF values were less than 3 (1.188–2.528), indicating that there was no issue with collinearity (Hair et al., 2019; Hair et al., 2021). Next, bootstrapping was employed to test the significance of the hypothesis with 5,000 subsamples (Hair et al., 2021). As shown in Figure 4 and Table 5, the results showed that the effects of COVID-19 risk perception on nostalgia (β = 0.588, t-value = 16.958), moral anger (β = 0.631, t-value = 19.992), and awe of nature (β = 0.604, t-value = 20.004) were all significant, thereby supporting H1a, H1b, and H1c. In addition, nostalgia (β = 0.521, t-value = 12.284), moral anger (β = 0.125, t-value = 2.805), and awe of nature (β = 0.142, t-value = 3.631) demonstrated a significant positive effect on attitude, supporting H2b, H3, and H4a, respectively. Additionally, COVID-19 risk perception (β = 0.154, t-value = 3.284), nostalgia (β = 0.146, t-value = 2.905), awe of nature (β = 0.178, t-value = 4.214), and attitude (β = 0.232, t-value = 4.550) were found to have a positive effect on pro-environmental behavior, thus supporting H1d, H2a, H4b, and H5.

TABLE 5
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Table 5. Assessment of structural model.

FIGURE 4
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Figure 4. Inner model result of PLS-SEM. ***p < 0.001, **p < 0.01.

In addition, a two-stage approach was used to examine the moderation effect using Smart-PLS (Henseler and Fassott, 2010). The results of the moderating effect test in Table 5 showed that power distance (PD) had a significant negative effect on the relationship between nostalgia and pro-environmental behavior (β = −0.1127, t-value = 2.719) and attitude and pro-environmental behavior (β = −0.136, t-value = 3.103), indicating that different levels of power distance negatively impact the relationship between nostalgia and pro-environmental attitudes. Thus, H6a and H6b were supported. Unexpectedly, the interaction effects between awe of nature and power distance (β = 0.048, t-value = 1.228) and COVID-19 risk perception and power distance (β = 0.006, t-value = 0.139) on pro-environmental behavior were not significant. Therefore, H6c and H6d were not supported. Additionally, the Johnson–Neyman technique was employed to further understand the moderating effect of power distance (Spiller et al., 2013). This method identifies the level from which the moderating variable has a moderating effect on the relationship between the independent and dependent variables. As shown in Figure 5, the moderating effect of power distance on the relationship between nostalgia and pro-environmental behavior is not significant when PD is below 1.19 and above 2.08. Similarly, the moderating effect of power distance on the relationship between attitude and pro-environmental behavior is not significant when PD is below 1.20 and above 2.57.

FIGURE 5
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Figure 5. Moderating effect of power distance belief.

Next, the coefficient of determination (R2) was used to evaluate the explained variance. According to Chin et al. (2003), the R2-value is considered small (0.19), moderate (0.33), and substantial (0.67). In Table 5, COVID-19 risk perception explained 34.6, 39.8, and 36.5% of the variation in nostalgia, moral outrage, and awe of nature, respectively, demonstrating significant explanatory power. In addition, to establish predictive criteria, we calculated effect sizes using prognostic relevance in Stone-Geisser Q2. The Q2-values were 0.278 for nostalgia, 0.301 for moral anger, 0.294 for awe of nature, 0.358 for attitude, 0.373 for pro-environmental behavior, all of which were above zero (Hair et al., 2013). In terms of effect size f2, which measures the substantial influence of an exogenous variable, a value of 0.02, 0.15, and 0.35 represents a small, medium, and large effect of the corresponding exogenous variable (Cohen, 1988). As seen in Table 5, COVID-19 risk perception had a substantial effect on nostalgia (f2 = 0.530), moral anger (f2 = 0.662), and awe of nature (f2 = 0.574). Nostalgia and power distance had a moderate effect on attitude (f2 = 0.304) and pro-environmental behavior (f2 = 0.197), respectively.

Regarding the model fit of this study, both the standardized root mean square residual (SRMR) and goodness of fit (GOF) were used. The SRMR value was 0.050, which was below the recommended maximum of 0.08 (Henseler et al., 2016), indicating a good overall fitness of the proposed framework. The GOF is defined as the geometric mean of the extracted variance and the average of the R2 of all endogenous variables, and the GOF value of the research framework was calculated as follows.

G O F = A V E ¯ × R 2 ¯ = 0.425 × 0.778 = 0.575

As suggested by Wetzels et al. (2009), the GOF value was small (0.1), medium (0.25), and large (0.36). The GOF for this study is 0.575, which is larger than the recommended value. Taking into consideration both SRMR (0.050) and GOF values (0.575), it can be concluded that the research model in this study is appropriate.

4.2 Necessary condition analysis (NCA) result

NCA is a new method of necessary condition analysis (NCA) based on complex causality; it not only identifies the necessary conditions of the outcome variables but also calculates the effect size and bottlenecks of these conditions quantitatively. It is used to determine the size of the “necessary-but-not-sufficient-condition” effects between independent variables and dependent variables (Dul, 2016). As a complement to traditional adequacy analysis techniques, NCA quantifies the number of antecedent conditions required for achieving a particular level of outcome variables by analyzing the effect size and bottleneck of antecedent conditions (Dul et al., 2020).

First, to conduct the NCA, latent variable scores were obtained using the PLS-SEM procedure (Richter et al., 2020), and then the NCA package in R was employed to perform NCA analysis (Dul et al., 2018). As a starting point, an NCA consists of drawing a ceiling line through the upper-left observations of an x-y plot, and the scatter plots for all relevant relations are shown in Figure 6. Second, using a recommended random sample size of 10,000, we tested the statistical significance of the effect sizes (d) of the latent variable scores (Dul, 2016; Dul et al., 2020). Since the CE-FDH line is appropriate for survey data rated on a five-point Likert scale, we interpreted the NCA results using its parameters (Vis and Dul, 2018). The results in Figure 7 and Table 6 meaningfully (d ≥ 0.1) and significantly (p < 0.05) reveal that AT (d = 0.257, p < 0.001) and NO (d = 0.131, p < 0.001) are necessary conditions for the pro-environmental behaviors of consumers. Finally, the bottleneck technique was used to assist in specifying threshold levels for achieving a particular level of performance. As shown in Table 7, to achieve a low level of pro-environmental behavior (30%), AT (9.4%), CRP (0.2%) are necessary; to have a medium level of PEB (70%), AN (7.9%), AT (52.4%), CRP (6.5%), GU (6.6%), and NO (16.4%) are necessary. However, at a high level of pro-environmental behavior (100%), six necessary conditions should be present: AN at no less than 66.1%, AT at no less than 58.6%, CRP at no less than 58.9%, GU at no less than 62.4%, NO at no less than 67.3%, and PD at no more than 20.2%.

FIGURE 6
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Figure 6. Scatter plots of necessary condition analysis.

FIGURE 7
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Figure 7. Histograms with bottleneck values.

TABLE 6
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Table 6. Necessary condition analysis result (Method: CE-FDH).

TABLE 7
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Table 7. Bottleneck table (percentages).

5 Discussion and conclusion

5.1 Theoretical implications

Overall, the majority of previous studies have examined the impact of rationality, affection, and culture separately on consumers’ pro-environmental behavior, while few have examined their combined effect. This study makes the following contributions.

First, drawing on affective event theory, this study constructs a comprehensive model that explores how external event shocks (COVID-19) affect consumers’ pro-environmental behavior. To our knowledge, this is one of the few studies that use affective event theory to investigate consumers’ pro-environmental behavior, expanding the perspective for understanding consumer behavior.

Second, an increasing number of scholars argue that cognitive and affective factors should be integrated into a unified rational and emotional theory of environmental behavior to better explain individuals’ pro-environmental behavior (Tian and Liu, 2022). Unfortunately, a limited number of studies have explored the interaction between emotional and cognitive factors. As a result, we intend to further investigate the interaction between rational and emotional factors in our study, as cognitive and emotional factors are mutually influential (Luo and Chea, 2018).

Third, the majority of previous studies focusing on the pro-environmental behavior of consumers used first-generation multivariate methods (such as multiple regression analysis) and second-generation multivariate methods [such as structural equation modeling (SEM)], which assume symmetrical relations between variables; these studies primarily explored the net effect of antecedent variables. However, using PLS-SEM and NCA, this study provides further insight into the mechanisms influencing pro-environmental behavior from the dual perspectives of adequacy and necessity.

Finally, whether consumers’ attitudes translate into actual behaviors depends on the specific context in which they live (Zhang et al., 2019; Sun et al., 2022). Most studies of people’s behavioral and psychological reactions to the outbreak of COVID-19 have been based in Western countries where individualism is prevalent, and relatively few studies have been conducted in countries where collectivism and power distance are high (Kwon and Park, 2022). Thus, this study explores the pro-environmental behaviors of consumers with different PDs during the COVID-19 pandemic in China and broadens the boundary conditions for understanding pro-environmental behaviors.

5.2 Discussion of findings

In this study, we extend the body of knowledge on pro-environmental behavior during the COVID-19 pandemic. The purpose of this study is to contribute to the theoretical understanding of consumer behavior concerning environmental issues and to provide insight into how to develop ecological environments in a sustainable manner.

First, according to the PLS-SEM results, COVID-19 risk perception had a significant effect on pro-environmental behavior and specific emotions, which is consistent with previous studies. Consumers’ perception of COVID-19 risk creates a sense of crisis, which significantly influences people’s pro-environmental behavior (Maleksaeidi and Keshavarz, 2019; Kim et al., 2022). Due to COVID-19, people are now more environmentally conscious in their consumption, believing that if we do not care for the environment, pandemics and disasters will happen again in the future (Lucarelli et al., 2020). However, the conclusion in this study is different from that of Urban and Braun Kohlová (2022), who found that there was no impact of the COVID-19 crisis on environmental attitudes or green decisions. The possible reason for the inconsistency in research is that previous studies ignored the role of individual emotions. Alternatively, only when a certain emotion is evoked in the consumer will he or she actually engage in pro-environmental behavior. As mentioned earlier, among the factors influencing consumers’ pro-environmental behavior, emotional factors can play a more decisive role than cognitive factors in some cases. According to affective events theory, it is important to recognize that an individual’s behavior is not always dictated by his or her rational perceptions. External events in life can cause negative or positive emotional reactions, and these emotional reactions can have a significant impact on attitudes and behaviors.

Second, in terms of emotions, the PLS-SEM results revealed that nostalgia had a significant effect on attitude and pro-environmental behavior, which is consistent with previous studies. Wang et al. (2020) and Zhang et al. (2021) found that the emotion of nostalgia had a positive effect on consumers’ pro-environmental behaviors, such as sustainable recycling and product disposal. However, Wang and Chao (2019) found that green products are less preferred by consumers with a high feeling of nostalgia; consumers with a strong sense of nostalgia tend to dwell on the past, which inhibits their preference for green products, as green products are often associated with the future (Alzubaidi et al., 2021). This inconsistency in research occurs because nostalgia is a complex concept, and different types of nostalgia have different effects on consumer behavior (Srivastava et al., 2022). According to Boym (2008), there are two types of nostalgia: “restorative nostalgia” and “reflective nostalgia.” “Reflective nostalgia” refers to reflecting on the remembered past for the purpose of the present and is often associated with establishing continuity. This kind of nostalgia is a positive experience that provides individuals with the opportunity to reflect on the past, which enhances self-worth, self-esteem, and social connectedness and promotes pro-social behavior (Srivastava et al., 2022; Zhang and Tao, 2022). There may be a tendency for individuals to invoke nostalgia as a coping mechanism to deal with the social distance restrictions of COVID-19 and the resulting isolation and social disconnection. This may be done as a means to regain a sense of self-continuity and meaning (Xia et al., 2021). We believe that the nostalgia triggered by COVID-19 is a “reflective nostalgia,” which promotes pro-environmental behavior. Additionally, according to the NCA result, nostalgia (d = 0.131, p < 0.001) was a necessary condition for pro-environmental behavior.

In addition, the emotion of guilt was found to have a significant effect on pro-environmental behavior, which is consistent with previous studies. Increasingly, consumers are becoming aware that COVID-19 outbreaks are linked to unsustainable consumption patterns. When people realize they could have avoided it, they develop negative guilt (Rees et al., 2015), which may cause them to take responsibility for the environmental impact (Daryanto et al., 2022). An ingrained sense of personal responsibility and willingness to act morally compelled to mitigate COVID-19 triggered by guilt can also contribute to the promotion of actions that are environmentally responsible (Milfont et al., 2022b). Similarly, an awe of nature was found to have a positive and significant effect on attitude and pro-environmental behavior. An individual is more inclined to be generous (Yang and Hu, 2021), to engage in helping activities (Wu et al., 2022) and to devote more time to charitable activities when instilled with the feeling of awe (Piff et al., 2015). A previous study also found that awe significantly influences pro-environmental behavior as a manifestation of pro-social behavior (Ramus and Killmer, 2007).

Additionally, the moderating effects of PD were confirmed. PD was found to have a significant moderating effect between nostalgia and pro-environmental behavior, which echoes the inconsistency of findings from previous studies regarding nostalgia and pro-environmental behavior (Wang and Chao, 2019; Wang et al., 2020; Zhang et al., 2021). This result confirms that the influence of consumers’ specific emotions on pro-environmental behavior varies across cultural contexts. As indicated in previous studies, the perception of climate change by individuals is often closely related to their personal values and worldviews; and cultural orientation can have a significant impact on their environmental attitudes and behaviors (Price et al., 2014). Due to the inequitable distribution of social power, consumers with high PDs take their ignorance of pro-environmental behaviors for granted and justify it with a vengeance. In contrast, individuals in low power distance cultures believe that pro-environmental behavior is one of their responsibilities and obligations and that pro-environmental behavior is dependent upon their participation. Previous research has shown that Chinese consumers have a strong reliance on the government for pro-environmental activities (Chan, 2000; Yang and Weber, 2019). This is inextricably linked to China’s Confucian culture. Consumers may feel that their individual efforts do not contribute to the improvement of such environmental issues in high power distance cultural contexts (Alzubaidi et al., 2021). However, even within the same cultural context, there are differences in the cultural perceptions of different consumers (Mi et al., 2020), which lead to different pro-environmental behaviors.

5.3 Managerial implications

For managerial implications, this study indicates that consumers’ perceptions of COVID-19 risk are associated with a variety of environmental affective responses, which can influence individuals’ attitudes toward the environment and, in turn, their pro-environmental behavior. Consequently, governments and marketers should pay attention to cognitive and emotional factors and their interactions to promote pro-environmental behavior among consumers. In the context of COVID-19, fears and negative messages about ecological problems can be included in marketing to induce consumers’ perception of COVID-19 risks so that consumers consciously attribute the degradation of the ecological environment to human failure in properly handling the moral relationship between humans and nature. In turn, this generates eco-ethical reflections and realizes the relationship between their own abilities and obligations, triggering consumers’ feelings of empathy and guilt. Furthermore, public service announcements and green advertisements on social media may be infused with awe or nostalgia. Inducing transcendent emotions such as awe and nostalgia can increase public awareness of the detrimental consequences of environmentally harmful behavior and attribute responsibility to them, as well as change consumer attitudes toward environmental protection, thereby contributing to pro-environmental behavior.

In countries with higher power distances, consumers are often less enthusiastic about ecological issues, believing that such costly public goods with no short-term benefits should be handled by the government or large corporations. In light of the findings of this study, Chinese consumers should develop a sense of environmental responsibility. Individuals who display environmental responsibility are more likely to take action to mitigate environmental problems. It is a result of their awareness of environmental problems and their perception of the importance of protecting the environment. The government or marketers should appeal to consumers’ concern for the environment in a higher power distance cultural context so that they will be motivated to express an emotional response, which, in turn, enhances their sense of environmental responsibility and drives pro-environmental behavior.

5.4 Limitations and future research directions

First, the mechanism through which COVID-19 influences consumers’ pro-environmental behavior is relatively complex. The purpose of this study is to construct a theoretical model based on a cognitive-emotional-attitudinal-behavioral model and affective event theory to examine the psychological mechanisms underlying consumers’ pro-environmental behavior development. Future research can be conducted to comprehensively investigate the mechanism of COVID-19’s impact on consumers’ pro-environmental behavior by combining cognitive and emotional frameworks and different theoretical perspectives.

Second, this paper uses the questionnaire method, and the data are all from self-reports of the same subjects. Although the results of the data analysis indicate that CMB does not pose a significant threat, the rigor of the methodology could be further improved (Sharma et al., 2022a). It is possible for future research on consumer pro-environmental behavior to be supplemented by objective and subjective data to test the robustness of the findings.

To verify the model, this study concludes with a comprehensive application of SEM and a necessity analysis. Researchers may be able to further explore and expand the research model of consumers’ pro-environmental behavior by employing experimental methods and case studies in the future. Furthermore, the majority of research on consumer pro-environmental behavior is based on the analysis of correlations between influencing factors; COVID-19 is in the midst of a natural experiment (Severo et al., 2021b); therefore, future research can use causal inference methods to explore the mechanisms that influence consumers’ pro-environmental behavior.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

SZ: conceptualization, methodology, data curation, writing—original draft, figures production, and writing—review and editing.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1093999/full#supplementary-material

References

Adams, I., Hurst, K., and Sintov, N. D. (2020). Experienced guilt, but not pride, mediates the effect of feedback on pro-environmental behavior. J. Environ. Psychol. 71:101476.

Google Scholar

Ágoston, C., Urbán, R., Nagy, B., Csaba, B., Kõváry, Z., Kovács, K., et al. (2022). The psychological consequences of the ecological crisis: Three new questionnaires to assess eco-anxiety, eco-guilt, and ecological grief. Clim. Risk Manag. 37:100441. doi: 10.1016/j.crm.2022.100441

CrossRef Full Text | Google Scholar

Ajzen, I. (1991). The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211. doi: 10.1016/0749-5978(91)90020-T

CrossRef Full Text | Google Scholar

Alzubaidi, H., Slade, E. L., and Dwivedi, Y. K. (2021). Examining antecedents of consumers’ pro-environmental behaviours: TPB extended with materialism and innovativeness. J. Bus. Res. 122, 685–699. doi: 10.1016/j.jbusres.2020.01.017

CrossRef Full Text | Google Scholar

Bagozzi, R. P., Yi, Y., and Phillips, L. W. (1991). Assessing construct validity in organizational research. Adm. Sci. Q. 36, 421–458. doi: 10.2307/2393203

CrossRef Full Text | Google Scholar

Bamberg, S., and Möser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour. J. Environ. Psychol. 27, 14–25. doi: 10.1016/j.jenvp.2006.12.002

CrossRef Full Text | Google Scholar

Boym, S. (2008). The Future of Nostalgia. New York, NY: Basic books.

Google Scholar

Büssing, A., Rodrigues Recchia, D., Dienberg, T., Surzykiewicz, J., and Baumann, K. (2021). Awe/Gratitude as an Experiential Aspect of Spirituality and Its Association to Perceived Positive Changes During the COVID-19 Pandemic. Front. Psychiatry 12:642716. doi: 10.3389/fpsyt.2021.642716

PubMed Abstract | CrossRef Full Text | Google Scholar

Carrión, G. C., Nitzl, C., and Roldán, J. L. (2017). “Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples,” in Partial Least Squares Path Modeling, eds H. Latan and R. Noonan (Cham: Springer International Publishing), 173–195.

Google Scholar

Casaló, L. V., Escario, J.-J., and Rodriguez-Sanchez, C. (2019). Analyzing differences between different types of pro-environmental behaviors: Do attitude intensity and type of knowledge matter? Resour. Conserv. Recycle. 149, 56–64. doi: 10.1016/j.resconrec.2019.05.024

CrossRef Full Text | Google Scholar

Cave, J., and Dredge, D. (2020). Regenerative tourism needs diverse economic practices. Tour. Geogr. 22, 503–513. doi: 10.1080/14616688.2020.1768434

CrossRef Full Text | Google Scholar

Chan, R. Y. K. (2000). An Emerging Green Market in China: Myth or Reality? Bus. Horiz. 43, 55–60.

Google Scholar

Chen, M. F. (2020b). Moral extension of the protection motivation theory model to predict climate change mitigation behavioral intentions in Taiwan. Environ. Sci. Pollut. Res. Int. 27, 13714–13725. doi: 10.1007/s11356-020-07963-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, M.-F. (2020a). Effects of psychological distance perception and psychological factors on pro-environmental behaviors in Taiwan: Application of construal level theory. Int. Sociol. 35, 70–89. doi: 10.1177/0268580919881870

CrossRef Full Text | Google Scholar

Chen, S., Wan, F., and Yang, S. (2022). Normative misperceptions regarding pro-environmental behavior: Mediating roles of outcome efficacy and problem awareness. J. Environ. Psychol. 84:101917. doi: 10.1016/j.jenvp.2022.101917

CrossRef Full Text | Google Scholar

Chen, S., Yang, J., Yang, W., Wang, C., and Bärnighausen, T. (2020). COVID-19 control in China during mass population movements at New Year. Lancet 395, 764–766. doi: 10.1016/S0140-6736(20)30421-9

CrossRef Full Text | Google Scholar

Cheung, M. F. Y., and To, W. M. (2019). An extended model of value-attitude-behavior to explain Chinese consumers’ green purchase behavior. J. Retail. Consum. Serv. 50, 145–153. doi: 10.1016/j.jretconser.2019.04.006

CrossRef Full Text | Google Scholar

Chi, N. T. K. (2021). Innovation capability: The impact of e-CRM and COVID-19 risk perception. Technol. Soc. 67:101725. doi: 10.1016/j.techsoc.2021.101725

CrossRef Full Text | Google Scholar

Chin, W. W., Marcolin, B. L., and Newsted, P. R. (2003). A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study. Inf. Syst. Res. 14, 189–217. doi: 10.1287/isre.14.2.189.16018

PubMed Abstract | CrossRef Full Text | Google Scholar

Christou, P., Farmaki, A., and Evangelou, G. (2018). Nurturing nostalgia?: A response from rural tourism stakeholders. Tour. Manag. 69, 42–51. doi: 10.1016/j.tourman.2018.05.010

CrossRef Full Text | Google Scholar

Cohen, J. (1988). Edition 2. Statistical Power Analysis for the Behavioral Sciences. Hillsdale: Erlbaum.

Google Scholar

Corraliza, J. A., and Berenguer, J. (2000). Environmental values, beliefs, and actions: A situational approach. Environ. Behav. 32, 832–848. doi: 10.1097/00012272-200304000-00003

PubMed Abstract | CrossRef Full Text | Google Scholar

Daryanto, A., Song, Z., and Soopramanien, D. (2022). The COVID-19 pandemic as an impetus for pro-environmental behaviours: The role of causal attribution. Pers. Individual Differ. 187:111415. doi: 10.1016/j.paid.2021.111415

PubMed Abstract | CrossRef Full Text | Google Scholar

De Silva, M., Wang, P., and Kuah, A. T. H. (2021). Why wouldn’t green appeal drive purchase intention? Moderation effects of consumption values in the UK and China. J. Bus. Res. 122, 713–724. doi: 10.1016/j.jbusres.2020.01.016

CrossRef Full Text | Google Scholar

Dendler, L., and Dewick, P. (2016). Institutionalising the organic labelling scheme in China: A legitimacy perspective. J. Clean. Prod. 134, 239–250. doi: 10.1016/j.jclepro.2016.02.141

CrossRef Full Text | Google Scholar

Ducoffe, R. H. (1995). How Consumers Assess the Value of Advertising. J. Curr. Issues Res. Advert. 17, 1–18. doi: 10.1080/10641734.1995.10505022

CrossRef Full Text | Google Scholar

Dul, J. (2016). Necessary condition analysis (NCA) logic and methodology of “necessary but not sufficient” causality. Organ. Res. Methods 19, 10–52. doi: 10.1177/1094428115584005

CrossRef Full Text | Google Scholar

Dul, J., Van der Laan, E., and Kuik, R. (2020). A statistical significance test for necessary condition analysis. Organ. Res. Methods 23, 385–395. doi: 10.1177/1094428118795272

CrossRef Full Text | Google Scholar

Dul, J., Vis, B., and Goertz, G. (2018). Necessary Condition Analysis (NCA) Does Exactly What It Should Do When Applied Properly: A Reply to a Comment on NCA*. Sociol. Methods Res. 50, 926–936. doi: 10.1177/0049124118799383

CrossRef Full Text | Google Scholar

Eisenberg, N., Cumberland, A., Guthrie, I. K., Murphy, B. C., and Shepard, S. A. (2005). Age Changes in Prosocial Responding and Moral Reasoning in Adolescence and Early Adulthood. J. Res. Adolesc. 15, 235–260. doi: 10.1111/j.1532-7795.2005.00095.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Eom, K., Tok, T. Q. H., Saad, C. S., and Kim, H. S. (2021). Religion, environmental guilt, and pro-environmental support: The opposing pathways of stewardship belief and belief in a controlling god. J. Environ. Psychol. 78:101717. doi: 10.1016/j.jenvp.2021.101717

CrossRef Full Text | Google Scholar

Escadas, M., Jalali, M. S., and Farhangmehr, M. (2019). Why bad feelings predict good behaviours: The role of positive and negative anticipated emotions on consumer ethical decision making. Bus. Ethics 28, 529–545.

Google Scholar

Felix, R., González, E. M., Castaño, R., Carrete, L., and Gretz Richard, T. (2022). When the green in green packaging backfires: Gender effects and perceived masculinity of environmentally friendly products. Int. J. Consum. Stud. 46, 925–943. doi: 10.1111/ijcs.12738

CrossRef Full Text | Google Scholar

Festinger, L. (1962). A Theory of Cognitive Dissonance. California: Stanford university press.

Google Scholar

Fornell, C., and Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Los Angeles, CA: Sage Publications.

Google Scholar

Gezhi, C., and Xiang, H. (2022). From good feelings to good behavior: Exploring the impacts of positive emotions on tourist environmentally responsible behavior. J. Hosp. Tour. Manag. 50, 1–9. doi: 10.1016/j.jhtm.2021.11.017

CrossRef Full Text | Google Scholar

Gibbs, H., and Egermann, H. (2021). Music-Evoked Nostalgia and Wellbeing During the United Kingdom COVID-19 Pandemic: Content, Subjective Effects, and Function. Front. Psychol. 12:647891. doi: 10.3389/fpsyg.2021.647891

PubMed Abstract | CrossRef Full Text | Google Scholar

Gifford, R., and Nilsson, A. (2014). Personal and social factors that influence pro-environmental concern and behaviour: A review. Int. J. Psychol. 49, 141–157. doi: 10.1002/ijop.12034

PubMed Abstract | CrossRef Full Text | Google Scholar

Gilg, A., Barr, S., and Ford, N. (2005). Green consumption or sustainable lifestyles? Identifying the sustainable consumer. Futures 37, 481–504. doi: 10.1016/j.futures.2004.10.016

CrossRef Full Text | Google Scholar

Gu, D., Gao, S., Wang, R., Jiang, J., and Xu, Y. (2020). The negative associations between materialism and pro-environmental attitudes and behaviors: Individual and regional evidence from China. Environ. Behav. 52, 611–638. doi: 10.1177/0013916518811902

CrossRef Full Text | Google Scholar

Gupta, S., Gallear, D., Rudd, J., and Foroudi, P. (2020). The impact of brand value on brand competitiveness. J. Bus. Res. 112, 210–222. doi: 10.1016/j.jbusres.2020.02.033

CrossRef Full Text | Google Scholar

Haddad, M. A. (2015). Increasing environmental performance in a context of low governmental enforcement: Evidence from China. J. Environ. Dev. 24, 3–25. doi: 10.1177/1070496514564563

CrossRef Full Text | Google Scholar

Hair, J. F. Jr., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage publications.

Google Scholar

Hair, J. F., Ringle, C. M., and Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Plan. 46, 1–12. doi: 10.1016/j.lrp.2013.01.001

CrossRef Full Text | Google Scholar

Hair, J. F., Ringle, C. M., and Sarstedt, M. (2014). PLS-SEM: Indeed a Silver Bullet. J. Mark. Theory Practice 19, 139–152. doi: 10.2753/mtp1069-6679190202

CrossRef Full Text | Google Scholar

Hair, J. F., Risher, J. J., Sarstedt, M., and Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31, 2–24. doi: 10.1108/ebr-11-2018-0203

CrossRef Full Text | Google Scholar

Haj-Salem, N., Ishaq, M. I., and Raza, A. (2022). How anticipated pride and guilt influence green consumption in the Middle East: The moderating role of environmental consciousness. J. Retail. Consum. Serv. 68:103062. doi: 10.1016/j.jretconser.2022.103062

CrossRef Full Text | Google Scholar

He, L., and Filimonau, V. (2020). The effect of national culture on pro-environmental behavioural intentions of tourists in the UK and China. Tour. Manag. Perspect. 35:100716.

Google Scholar

Henseler, J., and Fassott, G. (2010). “Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures,” in Handbook of Partial Least Squares, eds V. Esposito Vinzi, W. W. Chin, J. Henseler, and H. Wang (Berlin: Springer), 713–735.

Google Scholar

Henseler, J., Hubona, G., and Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Ind. Manag. Data Syst. 116, 2–20. doi: 10.1108/imds-09-2015-0382

CrossRef Full Text | Google Scholar

Henseler, J., Ringle, C. M., and Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43, 115–135. doi: 10.1007/s11747-014-0403-8

CrossRef Full Text | Google Scholar

Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43, 115–135.

Google Scholar

Herbes, C., Beuthner, C., and Ramme, I. (2020). How green is your packaging—A comparative international study of cues consumers use to recognize environmentally friendly packaging. Int. J. Consum. Stud. 44, 258–271. doi: 10.1111/ijcs.12560

CrossRef Full Text | Google Scholar

Hofstede, G. (1984). Cultural dimensions in management and planning. Asia Pac. J. Manag. 1, 81–99. doi: 10.1007/bf01733682

CrossRef Full Text | Google Scholar

Hofstede, G. (1989). Organising for cultural diversity. Eur. Manag. J. 7, 390–397. doi: 10.1016/0263-2373(89)90075-3

CrossRef Full Text | Google Scholar

Hua, Y., and Dong, F. (2022). Can environmental responsibility bridge the intention-behavior gap? Conditional process model based on valence theory and the theory of planned behavior. J. Clean. Prod. 376:134166.

Google Scholar

Huang, L., Guo, Z., Deng, B., and Wang, B. (2022). Unlocking the relationship between environmentally specific transformational leadership and employees’ green behaviour: A cultural self-representation perspective. J. Clean. Prod. 382:134857. doi: 10.1016/j.jclepro.2022.134857

CrossRef Full Text | Google Scholar

Ienna, M., Rofe, A., Gendi, M., Douglas, H. E., Kelly, M., Hayward, M. W., et al. (2022). The Relative Role of Knowledge and Empathy in Predicting Pro-Environmental Attitudes and Behavior. Sustainability 14:4622. doi: 10.3390/su14084622

CrossRef Full Text | Google Scholar

Im, J., Kim, J., and Choeh, J. Y. (2021). COVID-19, social distancing, and risk-averse actions of hospitality and tourism consumers: A case of South Korea. J. Dest. Mark. Manage. 20:100566. doi: 10.1016/j.jdmm.2021.100566

CrossRef Full Text | Google Scholar

Jacobs, T. P., and McConnell, A. R. (2022). Self-transcendent emotion dispositions: Greater connections with nature and more sustainable behavior. J. Environ. Psychol. 81:101797. doi: 10.1016/j.jenvp.2022.101797

CrossRef Full Text | Google Scholar

Kaiser, F. G. (2021). Climate change mitigation within the Campbell paradigm: Doing the right thing for a reason and against all odds. Curr. Opin. Behav. Sci. 42, 70–75.

Google Scholar

Kapoor, K. K., and Dwivedi, Y. K. (2020). Sustainable consumption from the consumer’s perspective: Antecedents of solar innovation adoption. Resour. Conserv. Recycle. 152:104501. doi: 10.1016/j.resconrec.2019.104501

CrossRef Full Text | Google Scholar

Kaynak, E., Wong, Y., and Leung, T. (2013). Guanxi: Relationship Marketing in a Chinese Context. Milton Park: Routledge.

Google Scholar

Keltner, D., and Haidt, J. (2003). Approaching awe, a moral, spiritual, and aesthetic emotion. Cogn. Emot. 17, 297–314. doi: 10.1080/02699930302297

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, J., Yang, K., Min, J., and White, B. (2022). Hope, fear, and consumer behavioral change amid COVID-19: Application of protection motivation theory. Int. J. Consum. Stud. 46, 558–574. doi: 10.1111/ijcs.12700

PubMed Abstract | CrossRef Full Text | Google Scholar

Kirkman, B. L., Chen, G., Farh, J.-L., Chen, Z. X., and Lowe, K. B. (2009). Individual power distance orientation and follower reactions to transformational leaders: A cross-level, cross-cultural examination. Acad. Manag. J. 52, 744–764.

Google Scholar

Koenig-Lewis, N., Palmer, A., Dermody, J., and Urbye, A. (2014). Consumers’ evaluations of ecological packaging–Rational and emotional approaches. J. Environ. Psychol. 37, 94–105.

Google Scholar

Kollmuss, A., and Agyeman, J. (2002). Mind the gap: Why do people act environmentally and what are the barriers to pro-environmental behavior? Environ. Educ. Res. 8, 239–260. doi: 10.1080/13504620220145401

CrossRef Full Text | Google Scholar

Kwon, S., and Park, A. (2022). Understanding user responses to the COVID-19 pandemic on Twitter from a terror management theory perspective: Cultural differences among the US, UK and India. Comput. Hum. Behav. 128:107087. doi: 10.1016/j.chb.2021.107087

PubMed Abstract | CrossRef Full Text | Google Scholar

Lawrance, E. L., Jennings, N., Kioupi, V., Thompson, R., Diffey, J., and Vercammen, A. (2022). Psychological responses, mental health, and sense of agency for the dual challenges of climate change and the COVID-19 pandemic in young people in the UK: An online survey study. Lancet Planet. Health 6, e726–e738. doi: 10.1016/S2542-5196(22)00172-3

CrossRef Full Text | Google Scholar

Leong, L.-Y., Hew, T.-S., Ooi, K.-B., and Dwivedi, Y. K. (2020b). Predicting trust in online advertising with an SEM-artificial neural network approach. Expert Syst. Appl. 162:113849.

Google Scholar

Leong, L.-Y., Hew, T.-S., Ooi, K.-B., and Chong, A. Y.-L. (2020a). Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach. J. Bus. Res. 110, 24–40. doi: 10.1016/j.jbusres.2019.11.056

CrossRef Full Text | Google Scholar

Li, J., Hallsworth, A. G., and Coca-Stefaniak, J. A. (2020). Changing grocery shopping behaviours among Chinese consumers at the outset of the COVID-19 outbreak. J. Econ. Hum. Geography 111, 574–583. doi: 10.1111/tesg.12420

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., Zhang, J., Zhang, D., and Ji, Q. (2019). Does gender inequality affect household green consumption behaviour in China? Energy Policy 135:111071.

Google Scholar

Lim, J., and Moon, K.-K. (2022). Does Political Participation Strengthen the Relationship between Civic Morality and Environmentally Friendly Attitudes? Evidence from South Korea. Int. J. Environ. Res. Public Health 19:2095. doi: 10.3390/ijerph19042095

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, M.-T., Zhu, D., Liu, C., and Kim, P. B. (2022). A meta-analysis of antecedents of pro-environmental behavioral intention of tourists and hospitality consumers. Tour. Manag. 93:104566. doi: 10.1016/j.tourman.2022.104566

CrossRef Full Text | Google Scholar

Linder, N., Rosenthal, S., Sorqvist, P., and Barthel, S. (2021). Internal and External Factors’. Influence on Recycling: Insights From a Laboratory Experiment With Observed Behavior. Front. Psychol. 12:699410. doi: 10.3389/fpsyg.2021.699410

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, X., Wen, J., Kozak, M., Jiang, Y., and Li, Z. (2021). Negotiating interdisciplinary practice under the COVID-19 crisis: Opportunities and challenges for tourism research. Tour. Rev. 77, 484–502.

Google Scholar

Lucarelli, C., Mazzoli, C., and Severini, S. (2020). Applying the theory of planned behavior to examine pro-environmental behavior: The moderating effect of COVID-19 beliefs. Sustainability 12:10556. doi: 10.3390/su122410556

CrossRef Full Text | Google Scholar

Luo, M. M., and Chea, S. (2018). Cognitive appraisal of incident handling, affects, and post-adoption behaviors: A test of affective events theory. Int. J. Inf. Manage. 40, 120–131. doi: 10.1016/j.ijinfomgt.2018.01.014

CrossRef Full Text | Google Scholar

Maleksaeidi, H., and Keshavarz, M. (2019). What influences farmers’ intentions to conserve on-farm biodiversity? An application of the theory of planned behavior in fars province, Iran. Glob. Ecol. Conserv. 20:e00698. doi: 10.1016/j.gecco.2019.e00698

CrossRef Full Text | Google Scholar

Meyer, A. (2015). Does education increase pro-environmental behavior? Evidence Eur. Ecol. Econ. 116, 108–121. doi: 10.1016/j.ecolecon.2015.04.018

CrossRef Full Text | Google Scholar

Mi, L., Qiao, L., Xu, T., Gan, X., Yang, H., Zhao, J., et al. (2020). Promoting sustainable development: The impact of differences in cultural values on residents’ pro-environmental behaviors. Sustain. Dev. 28, 1539–1553. doi: 10.1002/sd.2103

CrossRef Full Text | Google Scholar

Mi, L., Zhao, J., Xu, T., Yang, H., Lv, T., Shang, K., et al. (2021). How does COVID-19 emergency cognition influence public pro-environmental behavioral intentions? An affective event perspective. Resour. Conserv. Recycle. 168, 105467. doi: 10.1016/j.resconrec.2021.105467

PubMed Abstract | CrossRef Full Text | Google Scholar

Milfont, T. L., Osborne, D., and Sibley, C. G. (2022a). Socio-political efficacy explains increase in New Zealanders’ pro-environmental attitudes due to COVID-19. J. Environ. Psychol. 79:101751. doi: 10.1016/j.jenvp.2021.101751

PubMed Abstract | CrossRef Full Text | Google Scholar

Milfont, T. L., Osborne, D., and Sibley, C. G. (2022b). Socio-political efficacy explains increase in New Zealanders’ pro-environmental attitudes due to COVID-19. J. Environ. Psychol. 79:101751.

Google Scholar

Moon, M. A., Mohel, S. H., and Farooq, A. (2021). I green, you green, we all green: Testing the extended environmental theory of planned behavior among the university students of Pakistan. J. Soc. Sci. 58, 316–332. doi: 10.1016/j.soscij.2019.05.001

CrossRef Full Text | Google Scholar

Newman, G. E., Bloom, P., and Knobe, J. (2014). Value Judgments and the True Self. Pers. Soc. Psychol. Bull. 40, 203–216. doi: 10.1177/0146167213508791

PubMed Abstract | CrossRef Full Text | Google Scholar

Nielsen, K. S., Brick, C., Hofmann, W., Joanes, T., Lange, F., and Gwozdz, W. (2022). The motivation–impact gap in pro-environmental clothing consumption. Nat. Sustain. 5, 665–668. doi: 10.1038/s41893-022-00888-7

CrossRef Full Text | Google Scholar

O’Connor, P., and Assaker, G. (2022). COVID-19’s effects on future pro-environmental traveler behavior: An empirical examination using norm activation, economic sacrifices, and risk perception theories. J. Sustain. Tour. 30, 89–107. doi: 10.1080/09669582.2021.1879821

CrossRef Full Text | Google Scholar

Onwezen, M. C., Bartels, J., and Antonides, G. (2014). Environmentally friendly consumer choices: Cultural differences in the self-regulatory function of anticipated pride and guilt. J. Environ. Psychol. 40, 239–248. doi: 10.1016/j.jenvp.2014.07.003

CrossRef Full Text | Google Scholar

Pearce, J., Huang, S., Dowling, R. K., and Smith, A. J. (2022). Effects of social and personal norms, and connectedness to nature, on pro-environmental behavior: A study of Western Australian protected area visitors. Tour. Manag. Perspect. 42:100966. doi: 10.1016/j.tmp.2022.100966

CrossRef Full Text | Google Scholar

Piff, P. K., Dietze, P., Feinberg, M., Stancato, D. M., and Keltner, D. (2015). Awe, the small self, and prosocial behavior. J. Pers. Soc. Psychol. 108, 883–899. doi: 10.1037/pspi0000018

PubMed Abstract | CrossRef Full Text | Google Scholar

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psychol. 88, 879–903. doi: 10.1037/0021-9010.88.5.879

PubMed Abstract | CrossRef Full Text | Google Scholar

Polonsky, M. J., Vocino, A., Grau, S. L., Garma, R., and Ferdous, A. S. (2012). The impact of general and carbon-related environmental knowledge on attitudes and behaviour of US consumers. J. Mark. Manag. 28, 238–263. doi: 10.1080/0267257X.2012.659279

CrossRef Full Text | Google Scholar

Poortinga, W., Steg, L., and Vlek, C. (2004). Values, environmental concern, and environmental behavior: A study into household energy use. Environ. Behav. 36, 70–93. doi: 10.1177/0013916518807963

CrossRef Full Text | Google Scholar

Prade, C., and Saroglou, V. (2016). Awe’s effects on generosity and helping. J. Posit. Psychol. 11, 522–530. doi: 10.1080/17439760.2015.1127992

CrossRef Full Text | Google Scholar

Price, J. C., Walker, I. A., and Boschetti, F. (2014). Measuring cultural values and beliefs about environment to identify their role in climate change responses. J. Environ. Psychol. 37, 8–20. doi: 10.1016/j.jenvp.2013.10.001

CrossRef Full Text | Google Scholar

Punzo, G., Panarello, D., Pagliuca, M. M., Castellano, R., and Aprile, M. C. (2019). Assessing the role of perceived values and felt responsibility on pro-environmental behaviours: A comparison across four EU countries. Environ. Sci. Policy 101, 311–322. doi: 10.1016/j.envsci.2019.09.006

CrossRef Full Text | Google Scholar

Qin, Q., and Hsu, C. H. C. (2022). Urban travelers’ pro-environmental behaviors: Composition and role of pro-environmental contextual force. Tour. Manag. 92:104561. doi: 10.1016/j.tourman.2022.104561

CrossRef Full Text | Google Scholar

Ramkissoon, H. (2020). COVID-19 Place Confinement, Pro-Social, Pro-environmental Behaviors, and Residents’ Wellbeing: A New Conceptual Framework. Front. Psychol. 11:2248. doi: 10.3389/fpsyg.2020.02248

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramus, C. A., and Killmer, A. B. (2007). Corporate greening through prosocial extrarole behaviours–a conceptual framework for employee motivation. Bus. Strategy Environ. 16, 554–570.

Google Scholar

Rees, J. H., Klug, S., and Bamberg, S. (2015). Guilty conscience: Motivating pro-environmental behavior by inducing negative moral emotions. Clim. Change 130, 439–452. doi: 10.1007/s10584-014-1278-x

CrossRef Full Text | Google Scholar

Richter, N. F., Schubring, S., Hauff, S., Ringle, C. M., and Sarstedt, M. (2020). When predictors of outcomes are necessary: Guidelines for the combined use of PLS-SEM and NCA. Ind. Manag. Data Sys. 120, 2243–2267. doi: 10.1108/IMDS-11-2019-0638

CrossRef Full Text | Google Scholar

Rosenmann, A., Reese, G., and Cameron, J. E. (2016). Social Identities in a Globalized World: Challenges and Opportunities for Collective Action. Perspect. Psychol. Sci. 11, 202–221. doi: 10.1177/1745691615621272

PubMed Abstract | CrossRef Full Text | Google Scholar

Rudd, M., Vohs, K. D., and Aaker, J. (2012). Awe expands people’s perception of time, alters decision making, and enhances well-being. Psychol. Sci. 23, 1130–1136. doi: 10.1177/0956797612438731

PubMed Abstract | CrossRef Full Text | Google Scholar

Santos, S., and Gonçalves, H. M. (2019). Multichannel consumer behaviors in the mobile environment: Using fsQCA and discriminant analysis to understand webrooming motivations. J. Bus. Res. 101, 757–766. doi: 10.1016/j.jbusres.2018.12.069

CrossRef Full Text | Google Scholar

Schultz, P. W. (2001). The structure of environmental concern: Concern for self, other people, and the biosphere. J. Environ. Psychol. 21, 327–339. doi: 10.3389/fpsyg.2019.00453

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwartz, D., Loewenstein, G., and Agüero-Gaete, L. (2020). Encouraging pro-environmental behaviour through green identity labelling. Nat. Sustain. 3, 746–752. doi: 10.1038/s41893-020-0543-4

CrossRef Full Text | Google Scholar

Sedikides, C., Wildschut, T., Arndt, J., and Routledge, C. (2008). Nostalgia: Past. Present, and Future. Curr. Dir. Psychol. Sci. 17, 304–307. doi: 10.1111/j.1467-8721.2008.00595.x

CrossRef Full Text | Google Scholar

Severo, E. A., De Guimaraes, J. C. F., and Dellarmelin, M. L. (2021a). Impact of the COVID-19 pandemic on environmental awareness, sustainable consumption and social responsibility: Evidence from generations in Brazil and Portugal. J. Clean. Prod. 286:124947. doi: 10.1016/j.jclepro.2020.124947

PubMed Abstract | CrossRef Full Text | Google Scholar

Severo, E. A., De Guimarães, J. C. F., and Dellarmelin, M. L. (2021b). Impact of the COVID-19 pandemic on environmental awareness, sustainable consumption and social responsibility: Evidence from generations in Brazil and Portugal. J. Clean. Prod. 286:124947.

Google Scholar

Shakil, M. H., Munim, Z. H., Tasnia, M., and Sarowar, S. (2020). COVID-19 and the environment: A critical review and research agenda. Sci. Total Environ. 745:141022. doi: 10.1016/j.scitotenv.2020.141022

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, N., Lal, M., Goel, P., Sharma, A., and Rana, N. P. (2022b). Being socially responsible: How green self-identity and locus of control impact green purchasing intentions? J. Clean. Prod. 357:131895. doi: 10.1016/j.jclepro.2022.131895

CrossRef Full Text | Google Scholar

Sharma, A., Dwivedi, R., Mariani, M. M., and Islam, T. (2022a). Investigating the effect of advertising irritation on digital advertising effectiveness: A moderated mediation model. Technol. Forecast. Soc. Change 180:121731. doi: 10.1016/j.techfore.2022.121731

CrossRef Full Text | Google Scholar

Shi, H., Wang, S., and Guo, S. (2019). Predicting the impacts of psychological factors and policy factors on individual’s PM2.5 reduction behavior: An empirical study in China. J. Clean. Prod. 241:118416. doi: 10.1016/j.jclepro.2019.118416

CrossRef Full Text | Google Scholar

Shiota, M. N., Keltner, D., and John, O. P. (2006). Positive emotion dispositions differentially associated with Big Five personality and attachment style. J. Posit. Psychol. 1, 61–71. doi: 10.1080/17439760500510833

CrossRef Full Text | Google Scholar

Shipley, N. J., and van Riper, C. J. (2021). Pride and guilt predict pro-environmental behavior: A meta-analysis of correlational and experimental evidence. J. Environ. Psychol. 79:101753.

Google Scholar

Shulman, D., Halperin, E., and Reifen-Tagar, M. (2022). Personal experience with Covid-19 is associated with increased environmental concern and pro-environmental behavioral intentions. Curr. Res. Ecol. Soc. Psychol. 3:100031. doi: 10.1016/j.cresp.2021.100031

PubMed Abstract | CrossRef Full Text | Google Scholar

Simpson, B., Maguire, M., and Schermer, J. A. (2021). Predicting pro-environmental values and behaviors with the supernumerary personality inventory and hope. Pers. Individual Differ. 181:111051. doi: 10.1016/j.paid.2021.111051

CrossRef Full Text | Google Scholar

Spiller, S. A., Fitzsimons, G. J., Lynch, J. G., and Mcclelland, G. H. (2013). Spotlights, Floodlights, and the Magic Number Zero: Simple Effects Tests in Moderated Regression. J. Mark. Res. 50, 277–288. doi: 10.1509/jmr.12.0420

PubMed Abstract | CrossRef Full Text | Google Scholar

Sreen, N., Purbey, S., and Sadarangani, P. (2018). Impact of culture, behavior and gender on green purchase intention. J. Retail. Consum. Serv. 41, 177–189.

Google Scholar

Srivastava, E., Sivakumaran, B., Maheswarappa, S. S., and Paul, J. (2022). Nostalgia: A Review, Propositions, and Future Research Agenda. J. Advert. 1–20. doi: 10.1080/00913367.2022.2101036

CrossRef Full Text | Google Scholar

Stellar, J. E., Gordon, A. M., Piff, P. K., Cordaro, D., Anderson, C. L., Bai, Y., et al. (2017). Self-transcendent emotions and their social functions: Compassion, gratitude, and awe bind us to others through prosociality. Emot. Rev. 9, 200–207.

Google Scholar

Stern, P. C. (2000). New Environmental Theories: Toward a Coherent Theory of Environmentally Significant Behavior. J. Soc. Issues 56, 407–424. doi: 10.1111/0022-4537.00175

CrossRef Full Text | Google Scholar

Sun, X., Su, W., Guo, X., and Tian, Z. (2021a). The Impact of Awe Induced by COVID-19 Pandemic on Green Consumption Behavior in China. Int. J. Environ. Res. Public Health 18:543. doi: 10.3390/ijerph18020543

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, X., Su, W., Guo, X., and Tian, Z. (2021b). The Impact of Awe Induced by COVID-19 Pandemic on Green Consumption Behavior in China. Int. J. Environ. Res. Public Health 18:543.

Google Scholar

Sun, Y., Leng, K., and Xiong, H. (2022). Research on the influencing factors of consumers’ green purchase behavior in the post-pandemic era. J. Retail. Consum. Serv. 69:103118. doi: 10.1016/j.jretconser.2022.103118

CrossRef Full Text | Google Scholar

Sun, Y., Li, P., She, S., Eimontaite, I., and Yang, B. (2018). Boosting water conservation by improving campaign: Evidence from a field study in China. Urban Water J. 15, 966–973.

Google Scholar

Sun, Y., Liu, N., and Zhao, M. (2019). Factors and mechanisms affecting green consumption in China: A multilevel analysis. J. Clean. Prod. 209, 481–493. doi: 10.1016/j.jclepro.2018.10.241

CrossRef Full Text | Google Scholar

Tam, K.-P. (2013). Concepts and measures related to connection to nature: Similarities and differences. J. Environ. Psychol. 34, 64–78. doi: 10.1016/j.jenvp.2013.01.004

CrossRef Full Text | Google Scholar

Tanner, C. (1999). Constraints on environmental behaviour. J. Environ. Psychol. 19, 145–157. doi: 10.1006/jevp.1999.0121

CrossRef Full Text | Google Scholar

Tchetchik, A., Kaplan, S., and Blass, V. (2021). Recycling and consumption reduction following the COVID-19 lockdown: The effect of threat and coping appraisal, past behavior and information. Resour. Conserv. Recycle. 167:105370. doi: 10.1016/j.resconrec.2020.105370

CrossRef Full Text | Google Scholar

Teper, R., Zhong, C. B., and Inzlicht, M. (2015). How emotions shape moral behavior: Some answers (and questions) for the field of moral psychology. Soc. Personal. Psychol. Compass 9, 1–14.

Google Scholar

Thompson, C. L., Kuah, A. T., Foong, R., and Ng, E. S. (2020). The development of emotional intelligence, self-efficacy, and locus of control in Master of Business Administration students. Hum. Resour. Dev. Q. 31, 113–131. doi: 10.1002/hrdq.21375

CrossRef Full Text | Google Scholar

Tian, H., and Liu, X. (2022). Pro-Environmental Behavior Research: Theoretical Progress and Future Directions. Int. J. Environ. Res. Public Health 19:6721. doi: 10.3390/ijerph19116721

PubMed Abstract | CrossRef Full Text | Google Scholar

Tversky, A., and Fox, C. R. (1995). Weighing risk and uncertainty. Psychol. Rev. 102:269. doi: 10.1037/0033-295X.102.2.269

CrossRef Full Text | Google Scholar

Urban, J., and Braun Kohlová, M. (2022). The COVID-19 crisis does not diminish environmental motivation: Evidence from two panel studies of decision making and self-reported pro-environmental behavior. J. Environ. Psychol. 80:101761. doi: 10.1016/j.jenvp.2022.101761

PubMed Abstract | CrossRef Full Text | Google Scholar

Urban, J., and Braun Kohlova, M. (2022). The COVID-19 crisis does not diminish environmental motivation: Evidence from two panel studies of decision making and self-reported pro-environmental behavior. J. Environ. Psychol. 80:101761.

Google Scholar

Vázquez-Martínez, U. J., Morales-Mediano, J., and Leal-Rodríguez, A. L. (2021). The impact of the COVID-19 crisis on consumer purchasing motivation and behavior. Eur. Res. Manag. Bus. Econ. 27:100166. doi: 10.1016/j.iedeen.2021.100166

CrossRef Full Text | Google Scholar

Vis, B., and Dul, J. (2018). Analyzing Relationships of Necessity Not Just in Kind But Also in Degree:Complementing fsQCA With NCA. Sociol. Methods Res. 47, 872–899. doi: 10.1177/0049124115626179

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, L., Zhang, G., Shi, P., Lu, X., and Song, F. (2019). Influence of Awe on Green Consumption: The Mediating Effect of Psychological Ownership. Front. Psychol. 10:2484. doi: 10.3389/fpsyg.2019.02484

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., and Chao, C.-H. (2019). Nostalgia decreases green consumption: The mediating role of past orientation. BRQ Bus. Res. Q. 23, 270–284. doi: 10.1016/j.brq.2019.03.005

CrossRef Full Text | Google Scholar

Wang, Y., Tian, H., Sarigöllü, E., and Xu, W. (2020). Nostalgia prompts sustainable product disposal. J. Consum. Behav. 19, 570–580. doi: 10.1002/cb.1832

CrossRef Full Text | Google Scholar

Weiss, H. M., and Cropanzano, R. (1996). Affective events theory. Res. Organ. Behav. 18, 1–74. doi: 10.1037/0021-9010.79.2.272

CrossRef Full Text | Google Scholar

Wetzels, M., Odekerken-Schröder, G., and Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Q. 33, 177–195. doi: 10.2307/20650284

CrossRef Full Text | Google Scholar

Wiernik, B. M., Ones, D. S., and Dilchert, S. (2013). Age and environmental sustainability: A meta-analysis. J. Manag. Psychol. 28, 826–856.

Google Scholar

Wildschut, T., Sedikides, C., Arndt, J., and Routledge, C. (2006). Nostalgia: Content, triggers, functions. J. Pers. Soc. Psychol. 91, 975–993. doi: 10.1037/0022-3514.91.5.975

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, J. S., Font, X., and Liu, J. (2021). The elusive impact of pro-environmental intention on holiday on pro-environmental behaviour at home. Tour. Manag. 85:104283. doi: 10.1016/j.tourman.2021.104283

CrossRef Full Text | Google Scholar

Wu, Q., Zhang, Y., He, W., and Cui, L. (2022). The relationship between adolescents’ materialism and cooperative propensity: The mediating role of greed and the moderating role of awe. Pers. Individual Differ. 189:111484. doi: 10.1016/j.paid.2021.111484

CrossRef Full Text | Google Scholar

Xia, L., Wang, J., and Santana, S. (2021). Nostalgia: Triggers and its role on new product purchase intentions. J. Bus. Res. 135, 183–194. doi: 10.1016/j.jbusres.2021.06.034

CrossRef Full Text | Google Scholar

Xiang, D., Jiao, G., Sun, B., Peng, C., and Ran, Y. (2022). Prosumer-to-customer exchange in the sharing economy: Evidence from the P2P accommodation context. J. Bus. Res. 145, 426–441. doi: 10.1016/j.jbusres.2022.02.077

CrossRef Full Text | Google Scholar

Yadav, R., Balaji, M. S., and Jebarajakirthy, C. (2019). How psychological and contextual factors contribute to travelers’ propensity to choose green hotels? Int. J. Hosp. Manag. 77, 385–395. doi: 10.1016/j.ijhm.2018.08.002

CrossRef Full Text | Google Scholar

Yang, X., Jiang, J., and Chen, S. C. (2022). Achieving sustainability: Determinants of conscious green purchasing behavior during the COVID-19 pandemic. Bus. Strategy Environ. [Preprint]. doi: 10.1002/bse.3245

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, X., and Weber, A. (2019). Who can improve the environment—Me or the powerful others? An integrative approach to locus of control and pro-environmental behavior in China. Resour. Conserv. Recycle. 146, 55–67. doi: 10.1016/j.resconrec.2019.03.005

CrossRef Full Text | Google Scholar

Yang, Y., and Hu, J. (2021). Self-diminishing effects of awe on consumer forgiveness in service encounters. J. Retail. Consum. Serv. 60:102491. doi: 10.1016/j.jretconser.2021.102491

CrossRef Full Text | Google Scholar

Yin, C., Ma, H., Gong, Y., Chen, Q., and Zhang, Y. (2021). Environmental CSR and environmental citizenship behavior: The role of employees’ environmental passion and empathy. J. Clean. Prod. 320:128751. doi: 10.1016/j.jclepro.2021.128751

CrossRef Full Text | Google Scholar

Yoo, B., Donthu, N., and Lenartowicz, T. (2011). Measuring Hofstede’s Five Dimensions of Cultural Values at the Individual Level: Development and Validation of CVSCALE. J. Int. Consum. Mark. 23, 193–210. doi: 10.1080/08961530.2011.578059

CrossRef Full Text | Google Scholar

Zebardast, L., and Radaei, M. (2022). The influence of global crises on reshaping pro-environmental behavior, case study: The COVID-19 pandemic. Sci. Total Environ. 811:151436. doi: 10.1016/j.scitotenv.2021.151436

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, B., Lai, K.-H., Wang, B., and Wang, Z. (2019). From intention to action: How do personal attitudes, facilities accessibility, and government stimulus matter for household waste sorting? J. Environ. Manage. 233, 447–458. doi: 10.1016/j.jenvman.2018.12.059

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Gong, X., and Jiang, J. (2021). Dump or recycle? Nostalgia and consumer recycling behavior. J. Bus. Res. 132, 594–603. doi: 10.1016/j.jbusres.2020.11.033

CrossRef Full Text | Google Scholar

Zhang, Y., and Tao, W. (2022). The Impact of Nostalgia Proneness on Online Donation Willingness: The Mediating Effect of Consumer-Brand Relationship. Front. Psychol. 13:927330. doi: 10.3389/fpsyg.2022.927330

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, H., Zhang, H., Xu, Y., Lu, J., and He, W. (2018). Relation between awe and environmentalism: The role of social dominance orientation. Front. Psychol. 9:2367. doi: 10.3389/fpsyg.2018.02367

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhong, C.-B., Ku, G., Lount, R. B., and Murnighan, J. K. (2010). Compensatory ethics. J. Bus. Ethics 92, 323–339. doi: 10.1007/s10551-009-0161-6

CrossRef Full Text | Google Scholar

Zhou, H., Yin, H., Yuan, F., and Wang, F. (2019). Social relationships, public media, and pro-environmental behaviors. Empir. Econ. 57, 569–588. doi: 10.1007/s00181-018-1499-3

CrossRef Full Text | Google Scholar

Zhou, X., Sedikides, C., Mo, T., Li, W., Hong, E. K., and Wildschut, T. (2022). The Restorative Power of Nostalgia: Thwarting Loneliness by Raising Happiness During the COVID-19 Pandemic. Soc. Psychol. Personal. Sci. 13, 803–815. doi: 10.1177/19485506211041830

CrossRef Full Text | Google Scholar

Keywords: pro-environmental behavior, necessary condition analysis, power distance, nostalgia, awe of nature, COVID-19 risk perception

Citation: Zhou S (2023) The effect of COVID-19 risk perception on pro-environmental behavior of Chinese consumers: Perspectives from affective event theory. Front. Psychol. 13:1093999. doi: 10.3389/fpsyg.2022.1093999

Received: 09 November 2022; Accepted: 05 December 2022;
Published: 04 January 2023.

Edited by:

Jia Wei, Xi’an Jiaotong University, China

Reviewed by:

Mohammed Salem, University College of Applied Sciences, Palestine
Asif Khan, National Kaohsiung University of Science and Technology, Taiwan

Copyright © 2023 Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shuai Zhou, czIwNDA5MjlAc2lzd2EudW0uZWR1Lm15

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