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ORIGINAL RESEARCH article

Front. Environ. Sci., 08 June 2023
Sec. Environmental Economics and Management
This article is part of the Research Topic Institutional Forces, Energy Transition, and Climate Action: Strategies for Achieving Sustainable Development Goals 7 & 13 View all 6 articles

What matters for sustainability and climate change actions in developing countries: A stimulus–organism–behavior– consequence (SOBC) perspective

Fuqiang TanFuqiang Tan1Rabia LuqmanRabia Luqman2Fahad AsmiFahad Asmi3Rongting ZhouRongting Zhou3Muhammad Azfar Anwar,
Muhammad Azfar Anwar4,5*
  • 1Faculty of Law, Huainan Normal University, Huainan, Anhui, China
  • 2Department of Management Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Pakistan
  • 3Department of Science and Technology of Communication and Policy, College of Humanities and Socience, University of Science and Technology of China, Hefei, Anhui, China
  • 4COMSATS University Islamabad, Vehari Campus, Vehari, Pakistan
  • 5Shenzhen university, Shenzhen, China

Sustainable behaviors demand wielding communication strategies in social and political spheres for public understanding of scientific issues like climate change and the severe consequences of deteriorating environmental quality. Reliable information can improve public understanding of science and enhance public support for climate change actions at social and political levels. This study strives to examine the socio-political and psychological factors that affect climate change actions based on the stimulus-organism-behavior-consequences paradigm. This study further categorizes sustainable behavior into mitigation and adaptation strategies to capture behavioral consequences with the moderating effects of information literacy and a regulative environment. Empirical findings demonstrate interesting associations between socio-political and psychological factors. Significant effects were observed for environmental quality and belief in climate change in explaining pro-environmental behavior. This study reveals that people are more prone to mitigation than adaptation strategies to ensure sustainability and recommends better communication strategies to empower those already engaged in mitigating climate change and encourage those still struggling to adapt to climate change actions.

1 Introduction

The coping strategies for “Climate Change” conceptually comprise mitigation and adaptation. Climate change mitigation calls for reducing the causes of global warming leading to climate change. In contrast, adaptation indicates the impacts of climate change on society and the environment and involves a particular set of actions to reduce environmental vulnerability (Sussex and Study, 2006). The complexity of climate change, at both scientific and political levels, makes it challenging (Keren et al., 2021). It leads to controversies because it is tough to distinguish the differences over a short period as climate change trends are masked by normal variability (Asmi et al., 2022). Thus, individuals with substantial environmental knowledge and concerns sometimes find translating these traits into sustainable actions challenging (Munerah et al., 2018). Public engagement in climate change actions is highly interesting as it generates positive behavioral outcomes with enhanced public effectiveness and beliefs to protect the environment (Sajjad et al., 2020). Critical policy input also has political implications, resulting in high or low political and institutional trust, which greatly encourages pro-social behaviors in most developing countries (Taniguchi & Marshall, 2018). Developing countries have devised institutional setups for climate change to implement strategies to sensitize the public to environmental issues on social and political platforms (Goldberg et al., 2022). However, they still require the gauging of sound communication strategies to get support in socio-political settings, i.e., political trust, risk perception, and knowledge, to encourage public environmental effectiveness and sustainable behavior with the aim of achieving national environmental goals.

With the increased prominence of global environmental challenges, more research focuses on the relationship between the natural environment, communication, and the public domain by incorporating topics such as risk communication, climate change framing, and environmental participation (Bødker and Neverla, 2012; Cox and Depoe, 2015). The influence of climate change communication has now expanded to social, cultural, and political spheres. Corner et al. (2010) emphasized the role of public communication required behavioral changes. Political and cultural settings are essential in shaping public perception of climate change as a socio-scientific issue with its related risks (Akerlof et al., 2013; Drummond et al., 2018). People are always dealing with risks, and the perception of those risks does not rely on facts or their impact, but framing them indicates the ultimate actions (Detenber et al., 2018). Climate change strategies focusing more on scientific evidence than communication framing produce limited outcomes as they deal with public ideology (Bain et al., 2012). The literature indicates that public engagement is critical in any national climate mitigation or adaptation strategy (Pike and Cara, 2010; Adelle 2015). Thus, it is required to provide the public with more climate change knowledge to comprehend the implications and consequences (Bord et al., 2000). Communicating the risks of a particular problem can increase stakeholder engagement for effective risk management (Boudet et al., 2014). Weber & Stern (2011) indicate that lack of understanding or concern is not a constraint for risk management decisions but the politics of climate change. Ryan & Ramirez (2016) find that political and social support for climate change policies is helpful for sustainable policy implementation. Information-based science advocacy has little impact on public climate concerns, whereas political mobilization can generate high levels of concern about climate change (Brulle et al., 2012). Carvalho, van Wessel, & Maeseele (2017) indicate that communication practices do not only help create the conditions for political engagement and engagement modes. Different political systems process the same scientific data on climate risks and propose different mitigation options. Hart & Nisbet (2012) indicate political partisanship as a boosting factor for positive political polarization on climate change. There is a need to know more about the social, environmental, psychological, and cognitive factors that influence scientific data’s political processing and outcomes (Bernauer, 2013).

We argue that a heuristic model with political, environmental, and psychological factors can best explain the sustainable behavior of citizens in the context described above. The government must educate the public and promote climate change actions to achieve policy legitimacy and support. Drawing upon the above pro-environmental, political, and communication literature, we identify factors, i.e., environmental knowledge, political trust, environmental quality, environmental effectiveness, and belief in climate change, that influence sustainable behavior and translate sustainable behavior into mitigation and adaptation strategies. We also identify information literacy as a contextual factor that can moderate the effects of environmental effectiveness and belief in sustainable behavior. This study also proposes a supportive regulative environment as another moderating factor between sustainable behavior, mitigation, and adaptation strategies. These variables have not been integrated to analyze citizens’ sustainable behaviors and support the government’s climate change actions. The application of these variables in other contexts is well established by research, where they explain various sustainable, pro-social, and green behaviors with different theoretical frameworks. Thus, we integrate these variables into the stimulus-organism-behavioral-consequences (SOBC) framework to analyze the following research questions (RQ) empirically: (RQI) how environmental knowledge, political trust, and environmental quality stimulate environmental effectiveness and belief in climate change, and how these affect the sustainable behavior; (RQ2) how sustainable behavior affects mitigation and adaptation consequences.

The research questions are grounded in the SOBC framework. SOBC suits the context of this study as it presents an interactive effect among stimulus (S), organism (O), behavior (B), and consequences (C). The impact in SOBC starts from S and then flows to O, B, and C. We propose environmental knowledge, political trust, and environmental quality as stimuli, the micro and macro level factors that drive environmental effectiveness and belief in climate change, organismic factors in this study. These factors drive the sustainable behavior of partisans, leading to consequential actions of mitigation and adaptation strategies. The hypothesized relationships are tested using data from 1532 citizens from a developing region. To the best of our knowledge, this is the first study to employ the SOBC framework to track the effects of socio-political and psychological macro and micro factors on citizens’ sustainable behavior and identify their behavior as mitigation or adaptation. Furthermore, the impact of some contextual factors is also incorporated to explain the climate change actions of citizens. Thus, the findings of this study may be helpful for political leaders, policymakers, and academicians, allowing them to better understand citizens’ responses to socio-political, psychological, and environmental factors and determine the required climate change actions.

2 Theoretical development

The present study proposes a research model based on the SOBC paradigm. SOBC is an advanced form of stimulus-organism-response (SOR) model, grounded in Bandura’s social learning theory, where particular factors in the environment (S) incite action from individuals (O), guiding their behavior (B) to produce certain consequences (C) in that specific environment. This advancement on the previous cognitive-operant models allows for better environmental, cognitive, and behavioral analyses. Stimulus and consequences represent the environmental events, whereas organism and behavior are the processes linking these events. Consequences in SOBC represent past behavioral patterns. The reciprocal nature of environmental events enables us to analyze the interaction between environmental factors, personality traits, and behavior. This path is highly emphasized in climate change action models and social learning. Several studies have utilized the SOBC paradigm to capture the reciprocity of environmental events and behavioral processes in different contexts. For example, Talwar, et al. (2021) analyzed organic food buying behavior by incorporating SOBC, Yuan et al. (2017) utilized the SOBC model to highlight consumers’ new media engagement, Chakraborty (2022) employed SOBC to examine buying intentions for Ayurveda products, and Dhir et al. (2021) used SOBC to explore consumer’s green apparel buying behavior. Given its dynamic ability to capture various influences on behavior and consequences, particularly in sustainable contexts, we find SOBC a suitable theoretical lens for this study.

In connection with prior literature on pro-environmental behavior, which suggests that climate change beliefs and environmental effects are highly associated with personal knowledge and perception of institutions and the environment. The current study adopts eco-literacy (environmental knowledge), environmental quality, and trust in politics as stimulus (S); belief in climate change and environmental effectiveness represent organism (O); the sustainable behavioral intention is taken as behavior (B), and individual orientation toward climate change mitigation and adaptation as behavioral outcomes are represented as consequences (C). The effect of organisms on behavior and the influence of behavior on consequences is moderated by information literacy.

2.1 Stimulus

2.1.1 Environmental knowledge

Environmental knowledge represents a general knowledge of facts and concepts related to the natural environment and its relationship with its ecosystems (Sadiq et al., 2021). Individuals with high environmental knowledge show strong preferences for pro-environmental actions, as increased environmental knowledge positively and significantly impacts environmentally friendly behavior and intentions (Pan, Chou, Morrison, Lin and Huang, 2018). Lee et al. (2014) described a significant impact of environmental knowledge on green purchasing behavior. Climate change communication requires local knowledge, concerns of the targeted audience, values, and audience psychology to help the public mitigate and adapt to the impact of environmental hazards (Jarreau et al., 2017). Al Mamun et al. (2018) found that eco-literacy and self-efficacy are positive and significant factors in predicting respondents’ green purchase attitudes. Increased environmental knowledge and concerns over climate change are undoubtedly creating new environmental ethics. Environmental knowledge and concerns are the most significant factors in determining consumers’ green purchase intentions (Kanchanapibul et al., 2014). Dhir et al. (2021) indicated that individuals with environmental knowledge more effectively translate their intentions into pro-environmental behavior. Climate change belief is highly influenced by climate change knowledge (Milfont et al., 2014). Environmental knowledge necessitates understanding the impact of individuals’ activity on the ecosystem and their engagement in protecting it (Peña-Vinces et al., 2020). Thus, climate change concerns and environmental effectiveness appear to be outcomes of individuals’ accumulated environmental knowledge, and we test this hypothesis in the case of partisans.

H1a: Environmental knowledge positively affects citizens’ environmental effectiveness.

H1b: Environmental knowledge positively affects citizens’ belief in climate change.

2.1.2 Political trust

Political trust in political science has been used to analyze the legitimacy of political institutions (van der Meer & Hakhverdian, 2017). The public generally supports institutions through their political trust based on their assessment of that institution’s quality. The public tends to support high environmental taxes if they believe their politicians are trustworthy (Jagers et al., 2010). Mortoja & Yigitcanlar (2022) indicated the importance of political bias in explaining climate change beliefs. A lack of political trust causes public hostility toward environmental taxes. People are willing to pay environmental taxes when compensated by cuts in other taxes, but they don’t believe the government will ensure those cuts (Fairbrother, 2017). The growing gap in trust dampens the public risk perception and their support for climate change mitigation and willingness to engage in adaptive strategies (Smith & Mayer, 2018). The severity of the issue calls for an in-depth analysis of the relationship between environmental concerns and trust in politics (Kentmen Cin, 2012). Low political trust and uncertainty in public engagement are influencing factors that can affect communal support for developing the common good (Pellizzone et al., 2017). Environmental protection requires political interventions that involve public engagement in certain environmental policies and necessitates public trust in government to strengthen political will (Peifer et al., 2016). Existing literature informs us that political trust, trust in institutions, and trust in government significantly impact individual effectiveness, climate change participation, willingness to pay, and green consumption (Kulin & Sevä, 2021). When people perceive a lack of personal control over the climate, they mostly prefer to support the messages from trustworthy sources (Tang et al., 2016). Thus, we argue that political trust encourages public confidence in institutions and positively affects environmental effectiveness and belief in climate change to adopt environmental behavior.

H2a: Political trust positively affects citizens’ environmental effectiveness.

H2b: Political trust positively affects citizens’ belief in climate change.

2.1.3 Environmental quality

Environmental quality indicators, i.e., air, water, and land pollution, overexploitation of natural resources, deforestation, loss of biodiversity, and climate change, affect human welfare (Ibrahiem & Hanafy, 2021) and concern vital elements for environmental quality. While analyzing the association between air quality and personal wellbeing in Europe, Ferreira et al. (2013) revealed a significant negative impact of SO2 concentrations on life satisfaction. Environmental quality significantly describes subjective wellbeing, and providing better air quality and protecting the individual’s health are listed as one of the governments’ key global concerns (Giovanis & Ozdamar, 2018). High local air pollution and noise levels negatively affect subjective wellbeing (Rehdanz & Maddison, 2008). Life satisfaction is higher in areas where urban lands are used as accessible green areas and parks than in urban areas where land has been abandoned (Krekel et al., 2016). Zhang et al. (2017) reported a significant effect of air pollution on happiness. Deteriorating air quality positively reduces subjective happiness and increases depression. People’s perception of their social and economic statuses positively relates to environmental concerns (Sulemana et al., 2016). People receive climate change information from multiple sources, i.e., scientific, political, media, and personal experiences (Davydova et al., 2018), affecting their risk perception regarding environmental quality. Better environmental quality also indicates that governments are concerned with tackling and eradicating hazardous effects of human activities and industrialization (Taniguchi & Marshall, 2018). Thus, we hypothesize the impact of environmental quality on citizens’ beliefs and effectiveness.

H3a: Environmental quality positively affects citizens’ environmental effectiveness.

H3b: Environmental quality positively affects citizens’ belief in climate change.

2.2 Organism

2.2.1 Environmental effectiveness

Environmental effectiveness is the belief in one’s own ability and confidence to take actions that can positively affect the environment. It is strongly related to green behavior (Ghvanidze et al., 2016). Perceived ability to execute an action or plan directly affects pro-environmental behavior, regardless of the cost and time required to do so (Ertz et al., 2016). Individuals with higher self-efficacy levels in mitigating global warming tend to find more information for possible mitigation measures (Huang, 2016). Quantitative studies indicate that individuals who have no control over environmental issues or lack self-efficacy demonstrate low pro-environmental or environmentally friendly behavior (Tam & Chan, 2017). Evidence indicates that environmental concerns are not necessarily being transformed into environmentally friendly behavior (Dong et al., 2018), indicating the facilitating role of self-control in transforming environmental concerns into green behavior (Tam & Chan, 2018). There is a weak connection between environmental concerns and pro-environmental behavior in societies with high distrust, helplessness, and belief in external control (Tam & Chan, 2017). Individual self-efficacy is reported as an important motivational tool and psychological resource through which individuals’ pro-environmental behavior can be explained (Coelho et al., 2017). Self-efficacy appears to be the strong predictor of an individual involved in an activity that requires significant personal effort (Tabernero et al., 2015).

H4: Perceived environmental effectiveness positively affects citizens’ pro-environmental behavior.

2.2.2 Belief in climate change

Belief polarization happens when two persons develop opposite beliefs in response to the same evidence. The reaction, due to this polarization, is expected to be irrational, which could disrupt “normatively optimal responding” (Cook & Lewandowsky, 2016). The respondents with substantial climate change knowledge are those who accept that climate change is happening (Guy et al., 2014). People near the coastal level strongly believe in climate change and support emission control policies. Research has found that belief in climate change is vital for risk appraisal and can lead to pro-environmental actions (Mase et al., 2017). Belief in climate change is associated with high engagement in climate change actions among forest owners (Vainio & Paloniemi, 2013). On the other hand, the belief that climate change is not happening and that humans play no role in it has been related to environmental indifference and hinders individuals from taking climate change actions (Scannell & Gifford, 2013). Thus we propose that belief in climate change can lead to pro-environmental behavior, and we hypothesize around this.

H5: Belief in climate change positively affects the citizens’ pro-environmental behavior.

2.3 Behavioral responses

Pro-environmental behavior, also indicated as “ecological behavior,” “environmentally friendly behavior,” “green behavior,” or “sustainable behavior,” represents a range of behavioral responses that are considered beneficial to the environment, i.e., green purchase, circular behavior, adoption of renewable energy, water conservation, adoption of sustainable traveling modes to reduce pollution, etc. (Wang & Yao, 2020). Pro-environmental behavior is a response that intentionally minimizes the negative impact of individual actions on the environment (Davis et al., 2020). Whitmarsh (2009) described pro-environmental behavior as individuals’ moral obligation when they believe their actions can effectively protect the environment. Pro-environmental actions require individuals to be internally motivated, and they usually require extra effort to overcome social, psychological, and cognitive barriers (Y. Zhang et al., 2020). Existing literature indicates many psychological, social, political, and cognitive factors that can affect pro-environmental behavior.

The coping strategies for climate change conceptually comprise mitigation and adaptation initiatives. Mitigation refers to eradicating climate change causes, whereas adaptation refers to the impacts of climate change on society and involves particular actions (Sussex and Study, 2006). Consumer knowledge and commitment to green purchasing play an important role in behaving in an environmentally friendly manner (Maniatis, 2016). As the Kantian imperative indicates, green behavior is an effect of being responsible, which classifies the individual’s behavior into two specific categories: green or gray. Individuals with strong green attitudes are more likely to display green behavior (Cerda Planas, 2018). Environment preservation has encouraged sustainable or altering consumption patterns and has become a priority on the international public administration list (Mascarello et al., 2014). The development of climate change mitigation policy and its implementation is highly dependent on public climate change knowledge and the perceived risk of climate change. Various factors significantly affect climate change mitigation and adaptation initiatives, e.g., attitude, environmental concern, social values, literacy rate, identity, and income (Dong et al., 2018). Implementing climate change actions involves targeted communication of consequences related to climate change and the climate science determining these changes (Hahn et al., 2016).

H6a: Sustainable behavior positively affects citizens’ participation in mitigation strategies.

H6b: Sustainable behavior positively affects citizens’ participation in adaptation strategies.

2.4 Moderating effect of information literacy and regulative environment

Information literacy refers to an individual’s ability to classify information for problem-solving and to recognize its purpose for evaluation (American Library Association, 1998). This suggests that classifying the need for information prompts behavioral change in individuals by encouraging them to comprehend and identify newly received information and help the individual trace it with prior knowledge or a lack of knowledge, leading to its adoption as habit (SCONUL, 2016; Lumen, 2018). There is strong evidence that information positively affects climate change actions, but the mechanism that explains the effect of information on these actions is not addressed properly (Dong et al., 2018). If consumers are provided with more information on climate change and environmental issues, the increased information significantly affects their purchasing behavior (Gleim et al., 2013). As attitudes are shaped by individual beliefs and knowledge, providing more information in advertisements on energy-saving characteristics could help customers develop a positive attitude toward these appliances (Ha & Janda, 2012).

H7a: Information literacy positively moderates the effect of perceived environmental effectiveness while defining sustainable behavior among citizens.

H7b: Information literacy positively moderates the effect of belief in climate change while defining sustainable behavior among citizens.The institutional environment is highly recognized in implementing climate change mitigation and adaptation strategies, particularly for forest management. Still, there is a dearth of research, including institutional factors, studying adaptation strategies (Bouriaud et al., 2015). Environmental degradation caused by climate change negatively affects social, economic, and development indicators, as indicated by research on environmental impact, and suggests various mitigation and adaptation strategies. The effectiveness of a country’s climate change mitigation or adaptation policy is determined by the public support they get for coping with the threats or opportunities posed by climate change (Taylor et al., 2017). Psychologists and climate change communicators emphasize information for effective communication (Jarreau et al., 2017). The perceived certainty of the message predicts whether the climate change action involves knowledge of climate change (Lombardi et al., 2014). Information undoubtedly improves individuals’ ability to mitigate or adapt to climate change as it increases their risk perception. A positive association exists between information and climate action, whereby information moderates the relationship (Dong et al., 2018). Evidence indicates that environmental concerns are not necessarily transformed into environmentally friendly behavior. Some intermediates facilitate the relationship between environmental problems and their transition into green behavior (Tam & Chan, 2018).

H8a: Supportive regulative environment positively moderates the effect of sustainable behavior while defining citizens’ participation in mitigation strategies.

H8b: Supportive regulative environment positively moderates the effect of sustainable behavior while defining citizens’ participation in adaptation strategies.

3 Methodology

The structured questionnaire is preferred when addressing and understanding attitude-related factors (Tourangeauet al., 2000). The Likert scale was adopted in a quantitative survey, as it allows respondents to map their perception and socio-psychological understanding of the scenario. The construct of the 7 Likert scale was adopted in the current research. Specifically, 1 was “Highly Disagreed” (not supporting) to the expression classified, and 7 was considered “Highly Agreed” (most likable expression). The adapted sources were revisited while designing the questionnaire. Each construct’s related questions were adapted, customized, and re-evaluated to understand the validity and credibility concerns of the proposed construct and its adapted version (for the current study).

The respondents’ political views and geographic spectrum diversity were considered the prime concern while collecting data. Initially, the electronic version of the questionnaire was circulated to the potential respondents (approximately 3500) through the electronic channels of the political parties’ platforms and open discussion blogs over social media and the web. However, the received respondents’ count was noted as 1943 in total; therefore, a response rate of approximately 55% was recorded after excluding the incomplete response sets. The acceptable count of 1532 responses was taken into further consideration for the data analysis in the current study. In other words, the response percentage of 43.77 was a considerable response count.

4 Findings and analysis

This study found that more than 57% of the population were men, indicating that men account for the more active population segment in the country’s economic and socio-political development. Moreover, almost 80% of the respondents were younger than 35.

Regardless of the model design, arrangement, and re-formulation, the Exploratory Factor Analysis (EFA) helps us to understand the constructs’ validity and reliability concerns. At the beginning of the EFA, the KMO test was usually conducted to examine the collected sample’s capability to behave in terms of the model. In other words, KMO addresses the common variance from each noticeable construct observed while working as an overall model (Cerny & Kaiser, 1977). From the EFA’s results in the current research, the KMO value of .921 was recorded, highlighting the sample’s significant ability to work as a model. The sample’s acceptability as a respectable sample demands symmetry/homogeneity in the data trends and was examined by Bartlett’s test and recorded as 0.00. This concluded that the sample was acceptable for further EFA and Confirmatory Factor Analysis (CFA).

To examine internal reliability, Cronbach Alpha (α) is usually measured, in statistical terms, its cutoff value is .70 (Saunders et al., 2009). A higher Cronbach’s alpha value represents the constructs’ healthy internal reliability. In the current scenario, Cronbach’s alpha was within the range of .980, and .904 was observed. Moreover, the Composite Reliability (CR) is also labeled as McDonald’s coefficient and collects the sum of variance and co-variance in the composite fashion for each construct. The composite value examines the loadings of each item within the construct.

Moreover, the Composite Reliability (CR) is preferred to be above 0.70 (Fornell & Larcker, 1981). Composite reliability between the range of .956 and .859 was observed in the present scenario. The measurement errors usually hold significant value while examining constructs’ internal reliability and divergent validity. The ‘Average Variance Extracted’ (AVE) is usually defined as the outcome of squared loadings (standardized), the collective sum of error (variance). In statistical terms, it deals with the loadings computed during factor analysis and helps to measure convergent and divergent reliability.

Furthermore, most statisticians recommend a lower cutoff value of .50 (Hair et al., 2014). In the current study, the range of AVE was observed between .812 and .580. Table 1 holds all composite reliability values, Cronbach alpha, and average variance extracted and satisfies the recommended value.

TABLE 1
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TABLE 1. Descriptive collected from the research sample (Size: 1532).

The next phase in statistical analysis was to examine the external reliability of the constructs. In other words, it helps to define that each of the constructs proposed is statistically different and holds distinct characteristics (Campbell & Fiske, 1959). Moreover, each variable’s AVE’s square root value is mentioned in the diagonal of the correlation matrix. The result concludes the supportive findings, as shown in Table 2. In statistical terms, zero issues about divergent reliability were observed in the current research. Furthermore, none of the multi-collinearity was observed, as all VIFs were observed within the continuum of 2.02–1.21. The structural model returned acceptable goodness-of-fit indices as presented in Table 3.

TABLE 2
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TABLE 2. Exploratory Factor Analysis of the collected sample.

TABLE 3
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TABLE 3. Model confirmation.

4.1 Hypotheses testing

While examining the overall role of eco-literacy, the influence of eco-literacy over environmental effectiveness and belief in climate change was measured. Specifically, in the case of H1(a), eco-literacy was observed to strongly influence perceived environmental effectiveness in the case of examining citizens’ climate change mitigation and adoption behavior (β = 0.248, p ≤ 0.001). In contrast, its power to define perceived belief in climate change was slightly low but strongly significant. Statistically, H1(b) was observed to be holding β = 0.170 and p ≤ 0.001 as shown in Table 4.

TABLE 4
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TABLE 4. External reliability testing.

While examining the proposed hypotheses highlighting the role of political trust, the effect was observed to be stronger for environmental effectiveness. Statistically, it was noted as β = 0.266 and p ≤ 0.001. However, political trust holds comparatively less explanatory power to define citizens’ perceived belief in climate change. Statistically, H2(b) was observed to be holding β = 0.170 and p ≤ 0.001. Environmental quality is predicted to influence citizens’ perceived environmental effectiveness and belief in climate change. Statistically, the explanatory power of environmental quality significantly influences citizens’ perceived environmental effectiveness while mapping their sustainable behavior. Statistically, it is noted as H3(a): β = 0.288 and p ≤ 0.001. Interestingly, among all three exogenous factors, while defining citizens’ belief in climate change, perceived environmental quality was observed to be the strongest construct. Statistically, it is stated as H3(b): β = 0.310 and p ≤ 0.001. The role of sustainable behavior was observed very strategically in the current study, while defining pro-environment behavior, the perceived environmental effectiveness was found to be a significant contributor in explaining pro-environment behavior. Statistically, it was stated as H4: β = 0.179 and p ≤ 0.001. Belief in climate change is the most significant path in explaining citizens’ sustainable behavior. Statistically, it was stated as H5: β = 0.591 and p ≤ 0.001. In other words, it can be stated that belief in climate change had the strongest impact while defining pro-environment behavior in the current study. Moreover, while defining climate change mitigation intentions among citizens through sustainable behavior, a strong significant relationship was observed (H6: β = 0.275 and p ≤ 0.001)compared to its ability to explain climate change adoption intentions (H7: β = 0.195 and p ≤ 0.001), as shown in Figure 1 and Table 5.

FIGURE 1
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FIGURE 1. Graphical representation of the examined empirical model for the current study.

TABLE 5
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TABLE 5. Path analysis for the proposed model.

These findings conclude that low information literacy dampens the positive relationship between environmental effectiveness and sustainable behavior (H8a: β = −0.065). The presence of low information literacy dampens the positive relationship between belief in climate change and sustainable behavior (H8b: β = −0.095).

The presence of an unsupportive regulative environment dampens the positive relationship between sustainable behavior and climate change mitigation (H9a: β = −0.228). The presence of a low regulative environment dampens the positive relationship between sustainable behavior and climate change mitigation (H9b: β = −.135).

5 Discussion

This study demonstrates interesting associations between socio-political and cognitive factors to comprehend citizens’ sustainable behavior and their engagement in climate change, e.g., mitigation and adaptation. Empirical findings suggest that all the exogenous variables significantly explain belief in climate change and environmental effectiveness. In explaining belief in Climate Change, environmental quality was observed as the most significant variable, followed by eco-literacy and political trust, respectively. In the case of environmental effectiveness, the explaining power of environmental quality has been observed to be the highest, followed by political trust and eco-literacy. While explaining sustainable behavior, a significant association has been observed between belief in climate change and environmental effectiveness. The strongest effect was observed for belief in climate change. In distinguishing between the consequences of sustainability, i.e., mitigation and adaptation, this study indicates that citizens are more prone to participate in mitigation strategies than in adaptation strategies.

Interestingly, the results for information literacy and regulative environment do not support the hypotheses and reveal that (low) information literacy dampens the positive relationship between belief, effectiveness, and sustainable behavior and the lack of a supportive regulative environment dampens public participation in mitigation and adaptation strategies as consequences of sustainable responses to Climate Change. From the viewpoint of the SOBC framework, macro and micro environmental factors, i.e., socio-psychological and political, when stimulating the individual organismic characteristics, yield the response and resultant outcomes. Environmental factors influence the cognitive organism of individuals with different magnitudes. Environmental knowledge and quality hold significant explanatory power in explaining belief in climate change, whereas political trust holds little explanatory power. On the other hand, political trust was the second most significant factor in explaining environmental effectiveness. All the external stimulus factors explain the environmental effectiveness, but environmental quality’s impact remains the highest. The factors in an organism, like belief and effectiveness, shape the behavioral response, which further explains respondents’ behavioral consequences in the external environment. These environmental consequences thereby explain the natural environment where citizens opt for mitigation or adaptation. The decision depends on institutional support provided to comprehend the impact of climatic stressors and acquire the required information to shape behavior.

Knowledge, political trust, and environmental quality affect the respondent’s climate change belief, enhancing the comprehension of protective measures by enhancing their effectiveness. Environmental knowledge enables the collection of knowledge required to realize socio-scientific issues, e.g., climate change. Environmental quality concerns can be seen as public risk perception, as it is necessary to remember the impact of climate change on social and economic settings. The overlapping of these macro and micro environmental factors with belief in climate change and environmental effectiveness endorses citizen behavior aimed toward preserving the environment. From the argument that both the consequences of human behavior and the environment are reciprocal, if respondents believe and feel their climate change actions are effective, they will be more likely to behave in an environmentally friendly manner. This will also be reciprocated by the natural environment in the form of a better ecological system and will encourage political institutions to empower people with more knowledge and belief. These findings are in line with Abid, Schneider, & Scheffran (2016); W. Ullah H. et al (2018); Salman et al. (2018); Furnham & Robinson (2022); and Bacha, Nafees, Hayat, Nawab, & Khan (2018). Although people are highly concerned about environmental quality and possess Climate Change knowledge, they still need to be educated and provided with more information to enhance their beliefs. High levels of concern and knowledge result from their experience of weather variability, but translating this into belief and sustainable behavior requires interventions. Communication between stakeholders should be integral to Climate Change adaptation strategies.

The low explanatory power of environmental knowledge indicates that individuals cannot update their prior knowledge with the newly received information. It can be said that the information being delivered to the individual does not match existing knowledge. The gap is understandable, but the factors behind the low explanatory power of knowledge and higher explanatory power of risk remain unclear. This could be explained from the socio-ecological framework, where the effect of the natural environment and risk perception boost the credibility of climate change messages from institutions. These findings are in line with Sajid Amin Javed and Shabana Kishwar, (2015); Hasan & Akhter (2011); Khan, Hasan, & Khan (2019); and Maryam (2014). This study suggests the government’s proactive role in encouraging Climate Change actions through media, groups, and official information sharing at societal and individual levels as low-level skepticism on Climate Change has been observed. The government should play a significant role in reducing greenhouse gas emissions by introducing and implementing strict emission laws to reduce skepticism further. Media has been identified as an effective source of information by the public. The government should devise strategies and campaigns, utilizing this potential source to spread official climate change information and using media to sensitize the public to climate change issues. As indicated by this study, the public considers institutions as credible sources of information regarding climate change. The institutions are responsible for demonstrating a strong consensus on climate change and delivering strong messages to eliminate its consequences. The official information should be loaded with local elements and should enable individuals to build on their existing knowledge easily.

As a public policy outcome, more support for mitigation indicates less information on adaptive actions. People think the natural environment can only be protected if resources are not exploited; furthermore, people are more willing to give up their existing lifestyle habits than to replace them with more environmentally friendly alternatives. This implicates two important challenges. First, the respondents possess low levels of information literacy or are not provided with the appropriate information on adaptive techniques or measures. Secondly, they feel helpless in identifying the right climate change action in the current regulative environment. Thus, they possess adequate knowledge, have experienced the effects of climate change, and believe that climate change is happening, but still, there is no available public provision of adequate adaptive measures. This could be determined as eco-anxiety, a situation in which individuals feel helpless and stressed in the face of any climatic stressor. This indicates the role of institutions in facilitating people’s understanding of available alternatives and adaptation actions through legislation or collaboration. These findings are in line with Syed Amir, et al. (2016); S. Ali et al. (2017); H. Ullah W. et al (2018); Fahad & Wang (2018); Iqbal et al. (2016); A. Ali & Erenstein (2017); and Lohano (2018). Rosenthal (2022) public intentions to engage with the information that they found aligned with their experience. This study recommends more education, access to Climate Change advisory services, and more information on Climate Change adaptation to ensure sustainability. This demands that the government play a significant role in providing information on Climate Change, particularly in areas with temperature variability to handle Climate Change and its resultant effects. Intervention strategies should focus on increasing citizen endowments and supporting the poor. This study suggests investing more in education and providing more government-backed information along with Climate Change advisory services for risk management. Government interventions must support adaptation by providing input, information, and related services. This study suggests the government must play an active role in promoting effective interventions to enhance the adaptation capacity of citizens. This study further recommends that government should involve different stakeholders to develop and implement effective Climate Change mitigation and adaptation policies.

5.1 Theoretical implications

This study presents various theoretical contributions that can be utilized to improve the understanding of sustainable behavior. First, to the best of our knowledge, this study is a pioneer in incorporating SOBC to explain sustainable behavior, specifically in the environmental context. The current study’s findings are distinct from others focused on green consumption or intentions. Second, in the continuity of sustainable behavior, the current initiative explains behavior regarding mitigation and adaptation. It is very important to understand the mindful disposition of individuals in adopting climate change actions based on their sustainable behavior. Thirdly, this study incorporates unique factors in the SOBC framework, i.e., political trust, environmental quality, and environmental effectiveness, which explain the sustainable behavior of citizens more comprehensively. These socio-ecological factors remain underutilized in explaining individuals’ sustainable behaviors. Lastly, this study analyzes the moderating role of information literacy and regulative environment in explaining the behavioral responses of individuals. These factors enhance our understanding of the interplay between cognitive factors and behavioral outcomes.

6 Conclusion

This study applies the SOBC framework to analyze the impact of macro and micro socio-political, psychological, and cognitive environmental factors on sustainable behavioral outcomes. This study identifies environmental quality and belief in climate change as the most influential factors in explaining sustainable behavior, where citizens are found to be more prone to participate in mitigation strategies as the consequential effect. This study recommends the path from environmental quality to belief, sustainable behavior, and ultimately, to mitigation. This study indicates that better communication practices help to create the conditions for political engagement and embrace the modes of such engagement. The political and social support for climate change policies is helpful for sustainable policy implementation. Climate change communication should facilitate individuals already involved in climate change actions to respond effectively and motivate those who feel helpless to perform these actions. These communication practices are helpful in the transformation of action plans by the government and public into more effective and climate-friendly behavioral outcomes. The findings and discussion of the current study can be understood using the below Figure 2. The diagram presents the socio-political, psychological, and environmental understanding of socio-scientific issues, i.e., Climate change. The outermost sphere reflects an individual’s society’s environmental, economic, political, social, and psychological conditions, which gives a basic comprehension of their changing environment, economic resources, political culture, and socio-psychological interpretation of these climatic changes.

FIGURE 2
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FIGURE 2. Conceptual mapping of ‘Climate Change Mitigation and Adaptation’ among citizens (Author’s Contribution).

The inner space is the factor that is necessary to translate the outer sphere indicators into required actions. Belief stands strong, as identified by the current study, but if eliminated, can create space or a black box to convert environmental knowledge, environmental quality, and political trust into sustainable behavior. Then comes environmental effectiveness, which can cause skepticism and a lack of control in improving environmental quality and engagement in promoting sustainable actions. Environmental quality and knowledge are necessary to stimulate climate change belief and encourage citizens to perform climate change actions. High political trust is necessary to boost climate change belief and citizens’ effectiveness, but if eliminated, can create political space that could harm the social contract between state and citizens by causing changes in the outer sphere and climate change actions in the inner sphere. Within the inner sphere of climate change actions concerning mitigation and adaptation, information literacy and regulative environment are equally important as they affect these actions by changing the interaction between climate change belief, source credibility, and sustainable behavior.

6.1 Limitations

This study highlights the relationship between socio-political, psychological, and cognitive factors in shaping sustainable behavior. The current study and its contributions have some limitations and future directions, as revealed here. This study analyzes citizens’ climate change perception and its effects on sustainable behavior, with primary data collected from a developing region. The interaction between these variables and sustainable behaviors, particularly political trust, should be examined with a longitudinal study to capture the effect of pre- and post-election campaigns and actions. This study uses particular psychological, political, and environmental factors to analyze sustainable behavior. Still, the other contextual factors should also be analyzed, i.e., social trust, institutional quality, and post-materialistic values. Future studies could extend the model by checking the mediation role of climate change belief and environmental effectiveness with the first-level variables defined in this study to explain sustainable behavior.

Data availability statement

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

Ethics statement

Ethical review and approval was not required for this study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the participants was not required to participate in this study in accordance with the national legislation and the institutional requirements.

Author contributions

MA sketch the idea and development model and was involved in the writeup. FA performed the analysis and paper writeup. RZ writes the conclusion and improves the quality. All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication. FT revised the manuscript. RL revised the methods part and editing.

Funding

Supported by Philosophy and Social Sciences Planning Project of Guangdong Province, China (Grant No. GD19CGL39).

Conflict of interest

The authors declare 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.

References

Abid, M., Schneider, U. A., and Scheffran, J. (2016). Adaptation to climate change and its impacts on food productivity and crop income: Perspectives of farmers in rural Pakistan. J. Rural Stud. 47, 254–266. doi:10.1016/j.jrurstud.2016.08.005

CrossRef Full Text | Google Scholar

Adelle, C. (2015). Contexualising the tool development process through a knowledge brokering approach: The case of climate change adaptation and agriculture. Environmental Science & Policy. 51, 316–324. doi:10.1016/j.envsci.2014.08.010

CrossRef Full Text | Google Scholar

Akerlof, K., Maibach, E. W., Fitzgerald, D., Cedeno, A. Y., and Neuman, A. (2013). Do people “personally experience” global warming, and if so how, and does it matter? Global Environmental Change 23 (1), 81–91. doi:10.1016/j.gloenvcha.2012.07.006

CrossRef Full Text | Google Scholar

Al Mamun, A., Mohamad, M. R., Yaacob, M. R. B., and Mohiuddin, M. (2018). Intention and behavior towards green consumption among low-income households. J. Environ. Manag. 227 (6), 73–86. doi:10.1016/j.jenvman.2018.08.061

CrossRef Full Text | Google Scholar

Ali, A., and Erenstein, O. (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Clim. Risk Manag. 16, 183–194. doi:10.1016/j.crm.2016.12.001

CrossRef Full Text | Google Scholar

Ali, S., Liu, Y., Ishaq, M., Shah, T., AbdullahIlyas, A., Din, I., et al. (2017). Climate change and its impact on the yield of major food crops: Evidence from Pakistan. Foods 6 (6), 39. doi:10.3390/foods6060039

PubMed Abstract | CrossRef Full Text | Google Scholar

American Library Association (1998). Final report. ALA Presidential Committee on Information Literacy.

Google Scholar

Amin Javed, S., and Shabana Kishwar, M. I. (2015). From perception to adaptation to climate change: Farm-level evidence from Pakistan. 7, 1–26.

Google Scholar

Asmi, F., Anwar, M. A., Zhang, Q., Linke, K., and Ben-Zaied, Y. (2022). Ecological footprint of your denim jeans: Production knowledge and green consumerism. Sustain. Sci. 17, 1781–1798. doi:10.1007/s11625-022-01131-0

CrossRef Full Text | Google Scholar

Bacha, M. S., Nafees, M., Hayat, U., Nawab, A., and Khan, T. (2018). Evaluating the local perceptions of climate change vulnerability in hindukush himalayan region of Pakistan. 7(2), 10–19.

Google Scholar

Bain, P. G., Hornsey, M. J., Bongiorno, R., and Jeffries, C. (2012). Promoting pro-environmental action in climate change deniers. Nature Climate Change. 2 (8), 603–603. doi:10.1038/nclimate1636

CrossRef Full Text | Google Scholar

Bélanger, F., and Carter, L. (2009). The impact of the digital divide on e-government use. Commun. ACM 52 (4), 132–135. doi:10.1145/1498765.1498801

CrossRef Full Text | Google Scholar

Bernauer, T. (2013). Climate change politics. Clim. Change Polit. 16, 421–448. doi:10.1146/annurev-polisci-062011-154926

CrossRef Full Text | Google Scholar

Bødker, H., and Neverla, L. (2012). Introduction. In: Journalism Studies 13 (2), 152–156.

Google Scholar

Bord, R. J., O’Connor, R. E., and Fisher, A. (2000). In what sense does the public need to understand global climate change? Public Understanding of Science. 9 (3), 205–218. doi:10.1088/0963-6625/9/3/301

CrossRef Full Text | Google Scholar

Boudet, H., Clarke, C., Bugden, D., Maibach, E., Roser-Renouf, C., and Leiserowitz, A. (2014). Fracking” controversy and communication: Using national survey data to understand public perceptions of hydraulic fracturing. Energy Policy 65, 57–67. doi:10.1016/j.enpol.2013.10.017

CrossRef Full Text | Google Scholar

Brulle, R. J., Carmichael, J., and Jenkins, J. C. (2012). Shifting public opinion on climate change: An empirical assessment of factors influencing concern over climate change in the U.S., 2002–2010. Clim. Change 114 (2), 169–188. doi:10.1007/s10584-012-0403-y

CrossRef Full Text | Google Scholar

Campbell, D. T., and Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol. Bull. 56 (2), 81–105. doi:10.1037/h0046016

PubMed Abstract | CrossRef Full Text | Google Scholar

Carvalho, A., van Wessel, M., and Maeseele, P. (2017). Communication practices and political engagement with climate change: A research agenda. Environ. Commun. 11 (1), 122–135. doi:10.1080/17524032.2016.1241815

CrossRef Full Text | Google Scholar

Cerda Planas, L. (2018). Moving toward greener societies: Moral motivation and green behaviour. Environ. Resour. Econ. 70 (4), 835–860. doi:10.1007/s10640-017-0167-y

CrossRef Full Text | Google Scholar

Cerny, B. A., and Kaiser, H. F. (1977). A study of A measure of sampling adequacy for factor-analytic correlation matrices. J. Multivar. Behav. Res. 12 (1), 43–47. doi:10.1207/s15327906mbr1201_3

CrossRef Full Text | Google Scholar

Chakraborty, D., Siddiqui, A., Siddiqui, M., Mohmmad, H., and Alatawi, F. (2022). Exploring consumer purchase intentions and behavior of buying ayurveda products using SOBC framework. Journal of Retailing and Consumer Services. 65, 102889. doi:10.1016/j.jretconser.2021.102889

CrossRef Full Text | Google Scholar

Coelho, F., Pereira, M. C., Cruz, L., Simões, P., and Barata, E. (2017). Affect and the adoption of pro-environmental behaviour: A structural model. J. Environ. Psychol. 54, 127–138. doi:10.1016/j.jenvp.2017.10.008

CrossRef Full Text | Google Scholar

Cook, J., and Lewandowsky, S. (2016). Rational irrationality: Modeling climate change belief polarization using bayesian networks. Top. Cognitive Sci. 8 (1), 160–179. doi:10.1111/tops.12186

PubMed Abstract | CrossRef Full Text | Google Scholar

Corner, A., Crompton, T., Davidson, S., Hawkins, R., Kasser, T., Lertzman, R., et al. (2010). “Communicating climate change to mass public audiences,” in Climate outreach and information network. Working Pa (Issue September)Available at: http://psych.cf.ac.uk/understandingrisk/docs/cccag.pdf.

Google Scholar

Cox, R., and Depoe, S. (2015). Emergence and growth of the “field” of environmental communication. Editor A. Hansen, and R. Cox (Routledge, London: The Routledge Handbook of Environment and Communication), 13–25.

Google Scholar

Davis, M. C., Unsworth, K. L., Russell, S. V., and Galvan, J. J. (2020). Can green behaviors really be increased for all employees? Trade-Offs for “deep greens” in a goal-oriented green human resource management intervention. Bus. Strategy Environ. 29 (2), 335–346. doi:10.1002/bse.2367

CrossRef Full Text | Google Scholar

Davydova, J., Pearson, A. R., Ballew, M. T., and Schuldt, J. P. (2018). Illuminating the link between perceived threat and control over climate change: The role of attributions for causation and mitigation. Clim. Change 148 (1–2), 45–59. doi:10.1007/s10584-018-2181-7

CrossRef Full Text | Google Scholar

Detenber, B. H., Ho, S. S., Ong, A. H., and Lim, N. W. B. (2018). Complementary versus competitive framing effects in the context of pro-environmental attitudes and behaviors. Sci. Commun. 40 (2), 173–198. doi:10.1177/1075547018758075

CrossRef Full Text | Google Scholar

Dhir, A., Sadiq, M., Talwar, S., Sakashita, M., and Kaur, P. (2021). Why do retail consumers buy green apparel? A knowledge-attitude-behaviour-context perspective. J. Retail. Consumer Serv. 59 (2020), 102398. doi:10.1016/j.jretconser.2020.102398

CrossRef Full Text | Google Scholar

Dong, Y., Hu, S., and Zhu, J. (2018). From source credibility to risk perception: How and when climate information matters to action. Resour. Conservation Recycl. 136 (5), 410–417. doi:10.1016/j.resconrec.2018.05.012

CrossRef Full Text | Google Scholar

Drummond, A., Hall, L. C., Sauer, J. D., and Palmer, M. A. (2018). Is public awareness and perceived threat of climate change associated with governmental mitigation targets? Clim. Change 149 (2), 159–171. doi:10.1007/s10584-018-2230-2

CrossRef Full Text | Google Scholar

Ertz, M., Karakas, F., and Sarigöllü, E. (2016). Exploring pro-environmental behaviors of consumers: An analysis of contextual factors, attitude, and behaviors. 2003 Eur. Quantum Electron. Conf. EQEC 69(10), 3971–3980. doi:10.1016/j.jbusres.2016.06.010

CrossRef Full Text | Google Scholar

Fahad, S., and Wang, J. (2018). Farmers’ risk perception, vulnerability, and adaptation to climate change in rural Pakistan. Land Use Policy 79 (4), 301–309. doi:10.1016/j.landusepol.2018.08.018

CrossRef Full Text | Google Scholar

Fairbrother, M. (2017). When will people pay to pollute? Environmental taxes, political trust and experimental evidence from britain. Br. J. Political Sci., 49, 661–682. doi:10.1017/s0007123416000727

CrossRef Full Text | Google Scholar

Ferreira, S., Akay, A., Brereton, F., Cuñado, J., Martinsson, P., Moro, M., et al. (2013). Life satisfaction and air quality in Europe. Ecol. Econ. 88, 1–10. doi:10.1016/j.ecolecon.2012.12.027

CrossRef Full Text | Google Scholar

Fornell, C., and Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18 (3), 39–50. doi:10.2307/3151312

CrossRef Full Text | Google Scholar

Furnham, A., and Robinson, C. (2022). Correlates of belief in climate change: Demographics, ideology and belief systems. Acta Psychol. 230 (4), 103775. doi:10.1016/j.actpsy.2022.103775

CrossRef Full Text | Google Scholar

Ghvanidze, S., Velikova, N., Dodd, T. H., and Oldewage-theron, W. (2016). Consumers ’ environmental and ethical consciousness and the use of the related food products information: The role of perceived consumer effectiveness. Appetite 107, 311–322. doi:10.1016/j.appet.2016.08.097

PubMed Abstract | CrossRef Full Text | Google Scholar

Giovanis, E., and Ozdamar, O. (2018). Health status, mental health and air quality: Evidence from pensioners in Europe. Environ. Sci. Pollut. Res. 25 (14), 14206–14225. doi:10.1007/s11356-018-1534-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Gleim, M. R., Smith, J. S., Andrews, D., and Cronin, J. J. (2013). Against the Green: A Multi-method Examination of the Barriers to Green Consumption. Journal of Retailing. 89 (1), 44–61. doi:10.1016/j.jretai.2012.10.001

CrossRef Full Text | Google Scholar

Goldberg, M. H., Carmichael, C. L., Lacroix, K., Gustafson, A., Rosenthal, S. A., and Leiserowitz, A. (2022). Perceptions and correspondence of climate change beliefs and behavior among romantic couples. J. Environ. Psychol. 82 (2021), 101836. doi:10.1016/j.jenvp.2022.101836

CrossRef Full Text | Google Scholar

Guy, S., Kashima, Y., Walker, I., and O’Niel, Y. (2014). Special issue article: The social psychology of climate change on the relationship between personal experience, affect and risk perception: The case of climate change. Eur. J. Soc. Psychol. 440, 430–440. doi:10.1002/ejsp.2008

CrossRef Full Text | Google Scholar

Ha, H. Y., and Janda, S. (2012). Predicting consumer intentions to purchase energy-efficient products. J. Consumer Mark. 29 (7), 461–469. doi:10.1108/07363761211274974

CrossRef Full Text | Google Scholar

Hahn, U., Harris, A. J. L., and Corner, A. (2016). Public Reception of Climate Science: Coherence, Reliability, and Independence. Topics in Cognitive Science. 8 (1), 180–195. doi:10.1111/tops.12173

PubMed Abstract | CrossRef Full Text | Google Scholar

Hair, J. F., Black, W. C., Babin, B. J., and Anderson, R. E. (2014). Multivariate data analysis. 7th ed. Pearson Education.

Google Scholar

Hart, P. S., and Nisbet, E. C. (2012). Boomerang effects in science communication. Commun. Res. 39 (6), 701–723. doi:10.1177/0093650211416646

CrossRef Full Text | Google Scholar

Hasan, Z. ., and Akhter, S. (2011). Determinants of public awareness and attitudes on climate change in urban Bangladesh: Dhaka as a case. Eur. J. Soc. Sci. 21 (1), 154–162. Available at: http://www.scopus.com/inward/record.url?eid=2-s2.0-79955942868&partnerID=40&md5=5cb010b5efb3c124b32767de97aceb81.

Google Scholar

Hooper, D., Mullen, J., Hooper, D., Coughlan, J., and Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electron. J. Bus. Res. Methods 6 (1), 53–60.

Google Scholar

Hu, L., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. A Multidiscip. J. 6 (1), 1–55. doi:10.1080/10705519909540118

CrossRef Full Text | Google Scholar

Huang, H. (2016). Media use, environmental beliefs, self-efficacy, and pro-environmental behavior. J. Bus. Res. 69 (6), 2206–2212. doi:10.1016/j.jbusres.2015.12.031

CrossRef Full Text | Google Scholar

Ibrahiem, D. M., and Hanafy, S. A. (2021). Do energy security and environmental quality contribute to renewable energy? The role of trade openness and energy use in north african countries. Renew. Energy 179, 667–678. doi:10.1016/j.renene.2021.07.019

CrossRef Full Text | Google Scholar

Iqbal, M. A., Ping, Q., Abid, M., Muhammad Muslim Kazmi, S., and Rizwan, M. (2016). Assessing risk perceptions and attitude among cotton farmers: A case of Punjab province, Pakistan. Int. J. Disaster Risk Reduct. 16, 68–74. doi:10.1016/j.ijdrr.2016.01.009

CrossRef Full Text | Google Scholar

Jagers, S. C., Löfgren, Å., and Stripple, J. (2010). Attitudes to personal carbon allowances: Political trust, fairness and ideology. Clim. Policy 10 (4), 410–431. doi:10.3763/cpol.2009.0673

CrossRef Full Text | Google Scholar

Jarreau, P. B., Altinay, Z., and Reynolds, A. (2017). Best practices in environmental communication: A case study of Louisiana’s coastal crisis. Environ. Commun. 11 (2), 143–165. doi:10.1080/17524032.2015.1094103

CrossRef Full Text | Google Scholar

Kanchanapibul, M., Lacka, E., Wang, X., and Chan, H. K. (2014). An empirical investigation of green purchase behaviour among the young generation. Journal of Cleaner Production. 66, 528–536. doi:10.1016/j.jclepro.2013.10.062

CrossRef Full Text | Google Scholar

Kentmen Cin, C. (2012). Blaming the government for environmental problems: A multilevel and cross-national analysis of the relationship between trust in government and local and global environmental concerns. Blaming Gov. Environ. Problems. Environ. Behav. 45 (8), 971–992. doi:10.1177/0013916512453840

CrossRef Full Text | Google Scholar

Keren, F., Siddiquei, A. N., Anwar, M. A., Asmi, F., and Ye, Q. (2021). What explains natives and sojourners preventive health behavior in a pandemic: Role of media and scientific self-efficacy. Front. Psychol. 12 (6), 664399. doi:10.3389/fpsyg.2021.664399

PubMed Abstract | CrossRef Full Text | Google Scholar

Khan, S., Hasan, M., and Khan, M. (2019). People perception about climate change and adaptation in the arid region of Pakistan. November 858. doi:10.3390/wsf2-00858

CrossRef Full Text | Google Scholar

Krekel, C., Kolbe, J., and Wüstemann, H. (2016). The greener, the happier? The effect of urban land use on residential well-being. Ecol. Econ. 121, 117–127. doi:10.1016/j.ecolecon.2015.11.005

CrossRef Full Text | Google Scholar

Kulin, J., and Sevä, I. J. (2021). Quality of government and the relationship between environmental concern and pro-environmental behavior: A cross-national study. Environ. Polit. 30 (5), 727–752. doi:10.1080/09644016.2020.1809160

CrossRef Full Text | Google Scholar

Lee, Y., Kim, S., Kim, M. S., and Choi, J. (2014). Antecedents and interrelationships of three types of pro-environmental behavior. J. Bus. Res. 67 (10), 2097–2105. doi:10.1016/j.jbusres.2014.04.018

CrossRef Full Text | Google Scholar

Lin, S.-H., and Huang, Y.-C. (2018). Assessing college student engagement: Development and validation of the Student Course Engagement Scale. Journal of Psychoeducational Assessment. 36 (7), 694–708.

CrossRef Full Text | Google Scholar

Lohano, H. D. (2018). Weather variability, agricultural revenues and internal migration: Evidence from Pakistan. Clim. Dev. 10 (7), 625–643. doi:10.1080/17565529.2017.1372263

CrossRef Full Text | Google Scholar

Lombardi, D., Seyranian, V., and Sinatra, G. M. (2014). Source effects and plausibility judgments when reading about climate change. Discourse Process. 51 (1–2), 75–92. doi:10.1080/0163853X.2013.855049

CrossRef Full Text | Google Scholar

Lumen, (2018). Identify: Understanding your information need | information literacy. LUMEN LEARNING.

Google Scholar

Maniatis, P. (2016). Investigating factors influencing consumer decision-making while choosing green products. J. Clean. Prod. 132, 215–228. doi:10.1016/j.jclepro.2015.02.067

CrossRef Full Text | Google Scholar

Maryam, A. (2014). The perception of local community about the effects of climate change in upper swat, khyber pakhtunkhwa, Pakistan. J. Earth Sci. Clim. Change 05 (03), 3–6. doi:10.4172/2157-7617.1000183

CrossRef Full Text | Google Scholar

Mascarello, G., Crovato, S., Pinto, A., Gallina, A., Siegrist, M., and Ravarotto, L. (2014). Communicating chemical risk in food to adolescents. A comparison ofweb and print media. Food . 35 (1), 407–412. doi:10.1016/j.foodcont.2013.07.031

CrossRef Full Text | Google Scholar

Mase, A. S., Gramig, B. M., and Prokopy, L. S. (2017). Climate change beliefs, risk perceptions, and adaptation behavior among Midwestern U.S. crop farmers. Clim. Risk Manag. 15, 8–17. doi:10.1016/j.crm.2016.11.004

CrossRef Full Text | Google Scholar

Milfont, T. L., Evans, L., Sibley, C. G., Ries, J., and Cunningham, A. (2014). Proximity to coast is linked to climate change belief. PLoS ONE 9 (7). doi:10.1371/journal.pone.0103180

PubMed Abstract | CrossRef Full Text | Google Scholar

Mortoja, G., and Yigitcanlar, T. (2022). Understanding political bias in climate change belief: A public perception study from south east queensland. Land Use Policy 122 (9), 106350. doi:10.1016/j.landusepol.2022.106350

CrossRef Full Text | Google Scholar

Munerah, S., Thambiah, S., and Muthaiyah, S. (2018). Environmental corporate social responsibility (ECSR) as a predictor of consumer ’ s green behavior. Int. J. Bus. Manag. 13 (11), 241–249. doi:10.5539/ijbm.v13n11p241

CrossRef Full Text | Google Scholar

Peifer, J. L., Khalsa, S., and Ecklund, E. H. (2016). Political conservatism, religion, and environmental consumption in the United States. Environ. Polit. 25 (4), 661–689. doi:10.1080/09644016.2016.1159604

CrossRef Full Text | Google Scholar

Pellizzone, A., Allansdottir, A., De Franco, R., Muttoni, G., and Manzella, A. (2017). Geothermal energy and the public: A case study on deliberative citizens’ engagement in central Italy. Energy Policy 101, 561–570. doi:10.1016/j.enpol.2016.11.013

CrossRef Full Text | Google Scholar

Peña-Vinces, J., Solakis, K., and Guillen, J. (2020). Environmental knowledge, the collaborative economy and responsible consumption in the context of second-hand perinatal and infant clothes in Spain. Resour. Conservation Recycl. 159, 104840. doi:10.1016/j.resconrec.2020.104840

CrossRef Full Text | Google Scholar

Pike, B. D., and Cara, M. H. (2010). Climate Communications and Behavior Change: A Guide for Practitioners. Climate Leadership Initiative. 35 (1), 1–54. doi:10.1177/1075547012438465

CrossRef Full Text | Google Scholar

Rehdanz, K., and Maddison, D. (2008). Local environmental quality and life-satisfaction in Germany. Ecol. Econ. 64 (4), 787–797. doi:10.1016/j.ecolecon.2007.04.016

CrossRef Full Text | Google Scholar

Rosenthal, S. (2022). Information sources, perceived personal experience, and climate change beliefs. J. Environ. Psychol. 81 (5), 101796. doi:10.1016/j.jenvp.2022.101796

CrossRef Full Text | Google Scholar

Ryan, D., and Ramirez, A. (2016). The politics of climate change at the city level: Insights from a comparative study of buenos aires, são Paulo and Mexico city (issue july.

Google Scholar

Sadiq, M., Bharti, K., Adil, M., and Singh, R. (2021). Why do consumers buy green apparel? The role of dispositional traits, environmental orientation, environmental knowledge, and monetary incentive. J. Retail. Consumer Serv. 62 (4), 102643. doi:10.1016/j.jretconser.2021.102643

CrossRef Full Text | Google Scholar

Sajjad, A., Chu, J., Anwar, M. A., and Asmi, F. (2020). Between green and gray: Smog risk and rationale behind vehicle switching. J. Clean. Prod. 244, 118674. doi:10.1016/j.jclepro.2019.118674

CrossRef Full Text | Google Scholar

Salman, A., Husnain, M. I. ul, Jan, I., Ashfaq, M., Rashid, M., and Shakoor, U. (2018). Farmers’ adaptation to climate change in Pakistan: Perceptions, options and constraints. Sarhad J. Agric. 34 (4). doi:10.17582/journal.sja/2018/34.4.963.972

CrossRef Full Text | Google Scholar

Saunders, M., Lewis, P., and Thornhill, A. (2009). Research methods for business students. 5th ed. FT Prentice Hall.

Google Scholar

Scannell, L., and Gifford, R. (2013). Personally relevant climate change: The role of place attachment and local versus global message framing in engagement. Environ. Behav. 45 (1), 60–85. doi:10.1177/0013916511421196

CrossRef Full Text | Google Scholar

SCONUL (2016). Information literacy. Society of College, National and University Libraries.

Google Scholar

Smith, E. K., and Mayer, A. (2018). A social trap for the climate? Collective action, trust and climate change risk perception in 35 countries. Glob. Environ. Change 49 (8), 140–153. doi:10.1016/j.gloenvcha.2018.02.014

CrossRef Full Text | Google Scholar

Sulemana, I., James, H. S., and Valdivia, C. B. (2016). Perceived socioeconomic status as a predictor of environmental concern in African and developed countries. J. Environ. Psychol. 46, 83–95. doi:10.1016/j.jenvp.2016.04.002

CrossRef Full Text | Google Scholar

Sussex, a. W., and Study, C. (2006). Climate change communication strategy.

Google Scholar

Syed Amir, M., Akash, J., Ahmed Nawaz, A., Sunbal, S., Jameel, J., Zubair, K., et al. (2016). HOW do we perceive climate change? Digging deep in to the public climate change awareness and beliefs in the urban community of southern Punjab, Pakistan. Russ. J. Agric. Socio-Economic Sci. 5 (5), 149–159. doi:10.18551/rjoas.2016-05.19

CrossRef Full Text | Google Scholar

Tabernero, C., Hernández, B., Cuadrado, E., Luque, B., and Pereira, C. R. (2015). A multilevel perspective to explain recycling behaviour in communities. J. Environ. Manag. 159, 192–201. doi:10.1016/j.jenvman.2015.05.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Talwar, S., Jabeen, F., Tandon, A., Sakashita, M., and Dhir, A. (2021). What drives willingness to purchase and stated buying behavior toward organic food? A Stimulus–Organism–Behavior–Consequence (SOBC) perspective. Journal of Cleaner Production. 293, 125882. doi:10.1016/j.jclepro.2021.125882

CrossRef Full Text | Google Scholar

Tam, K. P., and Chan, H. W. (2017). Environmental concern has a weaker association with pro-environmental behavior in some societies than others: A cross-cultural psychology perspective. J. Environ. Psychol. 53, 213–223. doi:10.1016/j.jenvp.2017.09.001

CrossRef Full Text | Google Scholar

Tam, K. P., and Chan, H. W. (2018). Generalized trust narrows the gap between environmental concern and pro-environmental behavior: Multilevel evidence. Glob. Environ. Change 48, 182–194. doi:10.1016/j.gloenvcha.2017.12.001

CrossRef Full Text | Google Scholar

Tang, Z., Guo, Z., Zhou, L., Xue, S., Zhu, Q., and Zhu, H. (2016). Combined and relative effect levels of perceived risk, knowledge, optimism, pessimism, and social trust on anxiety among inhabitants concerning living on heavy metal contaminated soil. Int. J. Environ. Res. Public Health 13 (11), 1076. doi:10.3390/ijerph13111076

PubMed Abstract | CrossRef Full Text | Google Scholar

Taniguchi, H., and Marshall, G. A. (2018). Trust, political orientation, and environmental behavior. Environ. Polit. 27 (3), 385–410. doi:10.1080/09644016.2018.1425275

CrossRef Full Text | Google Scholar

Taylor, A., Dessai, S., and Bruine de Bruin, W. (2017). Public priorities and expectations of climate change impacts in the United Kingdom. J. Risk Res. 9877, 150–160. doi:10.1080/13669877.2017.1351479

CrossRef Full Text | Google Scholar

Tourangeau, R., Rips, L. J., and Rasinski, K. A. (2000). The psychology of survey response (10th ed.). Cambridge University Press.

Google Scholar

Ullah, H., Rashid, A., Liu, G., and Hussain, M. (2018a). Perceptions of mountainous people on climate change, livelihood practices and climatic shocks: A case study of swat district, Pakistan. Urban Clim. 26 (3), 244–257. doi:10.1016/j.uclim.2018.10.003

CrossRef Full Text | Google Scholar

Ullah, W., Nihei, T., Nafees, M., Zaman, R., and Ali, M. (2018b). Understanding climate change vulnerability, adaptation and risk perceptions at household level in Khyber Pakhtunkhwa, Pakistan. Int. J. Clim. Change Strategies Manag. 10 (3), 359–378. doi:10.1108/ijccsm-02-2017-0038

CrossRef Full Text | Google Scholar

Vainio, A., and Paloniemi, R. (2013). Does belief matter in climate change action? Public Underst. Sci. 22 (4), 382–395. doi:10.1177/0963662511410268

PubMed Abstract | CrossRef Full Text | Google Scholar

van der Meer, T., and Hakhverdian, A. (2017). Political trust as the evaluation of process and performance: A cross-national study of 42 European countries. Polit. Stud. 65 (1), 81–102. doi:10.1177/0032321715607514

CrossRef Full Text | Google Scholar

Wang, X., and Yao, X. (2020). Fueling pro-environmental behaviors with gamification design: Identifying key elements in ant forest with the kano model. Sustain. Switz. 12 (6), 2213. doi:10.3390/su12062213

CrossRef Full Text | Google Scholar

Weber, E. U., and Stern, P. C. (2011). Public understanding of climate change in the United States. Am. Psychol. 66 (4), 315–328. doi:10.1037/a0023253

PubMed Abstract | CrossRef Full Text | Google Scholar

Whitmarsh, L. (2009). Behavioural responses to climate change: Asymmetry of intentions and impacts. J. Environ. Psychol. 29 (1), 13–23. doi:10.1016/j.jenvp.2008.05.003

CrossRef Full Text | Google Scholar

Yuan, S. T. D., Chou, S. Y., Yang, W. C., Wu, C. A., and Huang, C. T. (2017). Customer engagement within multiple new media and broader busi- ness ecosystem—A holistic perspective. Kybernetes. 46 (6), 1000–1020. doi:10.1108/K-01-2017-0042

CrossRef Full Text | Google Scholar

Zhang, X., Zhang, X., and Chen, X. (2017). Happiness in the air: How does a dirty sky affect mental health and subjective well-being? J. Environ. Econ. Manag. 85, 81–94. doi:10.1016/j.jeem.2017.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Xiao, S., and Zhou, G. (2020). User continuance of a green behavior mobile application in China: An empirical study of Ant Forest. J. Clean. Prod. 242, 118497. doi:10.1016/j.jclepro.2019.118497

CrossRef Full Text | Google Scholar

Keywords: stimulus-organism-behavior-consequences (SOBC), political trust, environmental quality (EQ), environmental effectiveness, sustainable behavior, regulative environment

Citation: Tan F, Luqman R, Asmi F, Zhou R and Anwar MA (2023) What matters for sustainability and climate change actions in developing countries: A stimulus–organism–behavior– consequence (SOBC) perspective. Front. Environ. Sci. 11:1134840. doi: 10.3389/fenvs.2023.1134840

Received: 30 December 2022; Accepted: 09 May 2023;
Published: 08 June 2023.

Edited by:

Mahmood Ahmad, Shandong University of Technology, China

Reviewed by:

Fiaz Hussain, Fatima Jinnah Women University, Pakistan
Muhammad Yousaf Raza, Shandong Institute of Business and Technology, China

Copyright © 2023 Tan, Luqman, Asmi, Zhou and Anwar. 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: Muhammad Azfar Anwar, azfaranwar@ciitvehari.edu.pk

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