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ORIGINAL RESEARCH article

Front. Psychiatry, 14 September 2022
Sec. Public Mental Health
This article is part of the Research Topic Mental Health Stigma and UN Sustainable Development Goals View all 6 articles

Dual process model of farmers’ mindfulness and sustainable economic behavior: Mediating role of mental health and emotional labor

\r\nYue Qiu
Yue Qiu*Yumeng ZhangYumeng ZhangMeihang LiuMeihang Liu
  • Department of Education, Liaoning Petrochemical University, Fushun, China

Mindful awareness of our interconnection with the natural environment could help to redeem our lost environmentally entrenched identity and help us to act more sustainably, concluding the predictable gaps between mindfulness and sustainable behavior. We propose more precisely that mindful attentiveness may be essential to establishing sustainable economic behavior through understanding emotional labor and enhanced mental health. Likewise, with an ever-rising concern related to mental health and emotional labor, recent industrialization and commoditization of agricultural products have stressed the need for mindfulness, and causing sustainable economic behavior of farmers that is imminent. Hence, the study will not only explore the connection between mindfulness and sustainable economic behavior, but there is a need to examine the mediating role of emotional labor and the mental health of farmers in China. The study selected the farmers because mindful awareness, emotional labor, and mental health of a farmer can significantly contribute to sustainable economic behavior and bring a connection with the natural environment. The data of 358 responses were analyzed using SPSS-AMOS. The results revealed that mindfulness, mental health, and emotional labor have a significant connection with the sustainable economic behavior of farmers in China. The results also indicated that mental health and emotional labor mediate between mindfulness and sustainable economic behavior. The results set the tone for the policy-makers to create awareness among all the stakeholders about the importance of mindfulness to help farmers manage their emotional labor and mental health for better, sustainable performance outcomes.

Introduction

The growth of business firms and the increase in economic activities may cause different forms of environmental pollution and adversely impact the stakeholders’ social welfare. The agriculture industry is no exception in this case (1). Usually, it is considered that the agricultural sector is associated with the growth of natural resources and develops a clean economic sector favorable for the environment and the general public. However, it is one side of the coin; even though it is linked to the growth of natural resources but may threaten the country’s development in the upcoming time. For instance, it may adversely impact the environment and social welfare of the public with the overuse of technologies, energy sources, chemicals, pesticides, fertilizers, and many other ingenious ways of increasing the production of crops, forests, and livestock (2). Employees’ mindfulness is the ability to be fully present, aware of where they are and what they are doing, and not unduly overwhelmed or reactive by what is happening around them; being mindful means paying attention to what a person is physically experiencing with the senses of mental state with thoughts and emotions. The mindful people can better focus, understand, and change the firm’s influences on the environment and social well-being to develop sustainable economic behavior (3). Likewise, one must understand that due to the recent worldwide economic crunch, there has been an unprecedented rise in emotional labor for professionals and the agriculture sector stakeholders. They are pushed to make ends meet, which somehow makes them indulge in actions that negatively affect the sustainable ecosystem of the environment.

A country not only needs to achieve higher economic growth like an improved position in the international market, foreign exchange earnings, increase in government revenues, and increase in the total production level of the country and employment rate, but they also need to sustain the once achieved higher growth rate (4). For sustainable economic development, the country should make progress in such a manner as it may not damage the environment, and the progress should be meant to meet the present needs of the public without compromising on the needs of the future generation. The main attributes of sustainable economic development are reducing pollution, increasing quality of life, and efficient use of natural resources (5). Sustainable economic development is contributed by individual business organizations operating in all economic sectors. The sustainable economic performance of business organizations depends on the personnel as these are the human resources who operate the business from establishment, management, leadership, production, and marketing. The organizational personnel, by themselves or through learning and training classes, have the attitude and tendency to participate in or take initiatives to establish the three pillars of sustainable economic performance: social, environmental, and financial performance. Employee attitudes and tendencies are termed sustainable economic behavior (6).

Therefore, this study examines the relationship between mindfulness, emotional labor, and mental health in developing sustainable economic behavior within agriculture firms in China. China is an emerging country with a higher middle-income economy and a newly industrialized developing country. It is the second-largest world economy in the nominal gross domestic product (GDP), whereas, in purchasing parity, it is the second-largest economy. The economy is estimated to attain a GDP of $19.91 trillion in 2022, which shows an 8.1% GDP growth rate (7). The Chinese economy has three main sectors: agriculture, industry, and service. According to the 2020 statistics, agricultural and allied industries made an added value of 16,690 billion yuan, which accounts for 16.47% of GDP. About 23.6% of the workforce in the Chinese agriculture system is employed. Though the country makes agricultural imports like soybeans, rubber, cotton, barley, and oils made from palm kernels and soybeans, the agricultural sector enables the country to increase total exports (8). According to 2019 statistics, the Chinese exports of agricultural products were USD 64.83 billion. Moreover, China is a major global livestock producer; it produces 50% of pigs, 20% of goats and chickens, and 15% of buffalos in the world inventory. As the Chinese agriculture sector is of great economic importance to the country, many farmers or ranchers have applied heavy technologies, chemicals, pesticides, and fertilizer to grow production and increase profits. These initiatives contaminate water, soil, turf, other vegetation, and the natural atmosphere and damage living creatures on land, water surface, and air (9). So, China holds the potential for setting trends related to sustainable behaviors of individuals across industries (i.e., agro-firms, to be specific). Therefore, exploring the phenomena of mindfulness and sustainable outcomes in the Chinese context is imperative.

Conversely, China is considered the biggest emitter of pollution emissions globally. It has been making rapid progress in all its economic sectors. However, suppose the pollution keeps increasing at a given rate. In that case, their economic progress may come into jeopardy, as consistent performance, a good working environment, an abundance of natural resources, and healthy and active humans are required affected by pollution. In China, like all other sectors, the agriculture sector has also been causing health and natural resources damaging consequences (10). To lead the country toward sustainable economic development, the agriculture sector must pay attention to sustainable economic behaviors. Hence this study has conceived the following objectives: (1) To investigate and analyze mindfulness, emotional labor, and mental impacts on sustainable economic behavior; (2) to investigate and analyze the impacts of mindfulness on emotional labor and mental health; (3) to analyze and investigate the role of emotional labor and mental health between mindfulness and sustainable economic behavior.

The study has a significant contribution to the literature. First, previous studies largely remained unable to investigate the relationship between sustainable mindfulness and its impact on sustainable economic performance. Second, in existing literature, no study analyses the role of mindfulness, emotional labor, and mental health in developing sustainable economic behavior. This study removes this literary gap by analyzing the impacts of mindfulness, emotional labor, and mental health’s role on sustainable economic behavior. Third, in the past, very few studies have been conducted to check the mediating role of emotional labor and mental health between mindfulness and sustainable economic behavior. This article removes the literary gap by analyzing emotional labor and mental health as mediators between mindfulness and sustainable economic behavior. Fourth, this pollution is because of the agriculture sector and its threats to economic development in China. Likewise, empirical investigations are scarce on measuring the enablers of sustainable economic performance across the agriculture sector. This article makes a distinction for analyzing the influences of mindfulness, emotional labor, and mental health on developing sustainable economic behavior in employees at farms in China.

Literature review

The article investigates the impact of mindfulness, mental health, and emotional labor on the sustainable economic behavior of farmers in China. The article also examines the mediating impact of mental health and emotional labor among mindfulness and sustainable economic behavior. Sustainable economic behavior is the employees thinking that the firms must operate their activities in such a manner that they do not create any environmental or social issues, and the employees themselves must participate in ecologically friendly and socially friendly initiatives, which leads to sustainable economic performance. The sustainable economic behavior of the employees depends on their mentality and emotions. If the employees have mindfulness, they can have the mentality and emotions favorable to develop sustainable economic behavior (11, 12). The relationship between mindfulness, emotional labor, and mental health in developing sustainable economic behavior can be found in many places in the existing literature. Different authors have presented different views about the relationship between mindfulness, emotional labor, and mental health in developing sustainable economic behavior. This study sheds light on past authors’ opinions regarding mindfulness, emotional labor, and mental health in developing sustainable economic behavior and their relationship to establish an exact hypothesis.

In any economic sector, employees must be mindful to effectively observe, manage, and perform business functions to achieve the desired economic outcomes without negatively impacting the environment and public welfare. The agriculture sector is no exception, but this sector is more sensitive and requires more attention from farmers as it arranges for the basic needs of humans, fulfills the economic resources required, and has excellent interaction with the environment. If the farmers are mindful of whether the agriculture practices are linked to crops, forests, or livestock breeding, they can develop sustainable behavior (13). Likewise, it has been examined mindfulness’s impact on employees’ sustainable economic behavior (14). The study reveals that the firm personnel having high mindfulness usually remain conscious of aspects negatively affecting the sustainable performance of their businesses, which in turn helps them achieve sustainable performance goals. They develop sustainable economic attitudes and behavior to achieve sustainable economic development.

Similarly, this study examined the influences of mindfulness and sustainable consumption behavior (15). This study was conducted through a systematic analysis of the previous articles published in the considered time frame. Finally, seven studies were selected out of 32 studies under analysis. The reviewed studies used quantitative and qualitative approaches to examine the relationship of mindfulness with sustainable consumption behavior. The study shows that the employees who remain mindful while operating their functions within the organizations have learned the negative influences of the resources they utilize on the environment and their consequences. Therefore, the literature has observed that workers and employees with meaningful mindfulness usually remain in a better position to help their firms perform sustainably. After having environmental awareness, they prefer to utilize eco-logical friendly resources, energy-efficient technology, and renewable energy. Thus, mindfulness positively contributes to sustainable consumption behavior. The above-stated literature helps to establish the following hypothesis:

H1: Mindfulness has a positive relation to sustainable economic behavior.

Emotional labor refers to managing emotions and emotional expressions to be consistent with the expectations about appropriate emotional expression within an occupation. Workers are explicitly expected to control their emotions when interacting with clients, coworkers, and managers. The suppression of emotions is felt but not expressed, including self-observation and decision-making about expressing emotion, whether or not it is genuinely felt. The same is applicable and fruitful in the case of farmers in agriculture (16). Likewise, previous studies have shown interest in exploring the relationship between emotional labor felt by farmers and agricultural workers and its association with sustainable attitudes, behaviors, and performance outcomes (17). The producers must consider the well-being of stakeholders and cultivate positive relationships with them to manage farming activities sustainably (18). Farmers who effectively control their emotions are better able to communicate with stakeholders and make decisions that are neutral and in the best interests of those stakeholders. Farmers employ sustainable economic practices as a result of their high emotional labor.

In an academic article on the triple labor framework for sustainable development initiatives, King (19) investigates emotional labor and sustainable economic behavior. The article is based on an ethnographic case study of initiatives for the alternative food system in Chiapas, Mexico analyzing three types of labor: organizational, physical, and emotional labor, and checks how these forms help develop sustainable economic behavior and achieve sustainable economic development. The study reveals that emotional labor assists the organizational personnel in the food production industry in having deep and trust-based connections with the customers. This connection helps them to have timely and reliable information from the customers about food products and other business matters and use that information in sustainable development initiatives. So, emotional labor positively develops sustainable economic development. Based on the reviewed literature, we put the following hypothesis:

H2: Emotional labor has a positive relation to sustainable economic behavior.

In any workplace, whether the firms belong to the agriculture, industrial, or service sector, the workers must have the mental and physical health to perform their job functions efficiently. Only if the workers have good mental health will they be able to understand the working conditions and develop an atmosphere conducive to sustainable economic development (20). The study by Brouwers (21) examines the role of workers’ mental health role in adopting sustainable economic behavior. The study highlights that the workers’ mental health determines their cognitive abilities like observation, critical analysis, reasoning, planning, abstract thinking, complex idea comprehension, evaluation, decision making, and learning from experience. Workers with these capabilities can help implement sustainable economic development policies with sustainable behavior on their part. The study by Kruize et al. (22) is another investigation of the worker’s mental health role in developing sustainable economic development.

The study proclaims that when the workers of a firm have good mental health, they can better analyze the situation around them and will promptly reach the bottlenecks, hindering the sustainable goals of a firm. Hence, workers with managed mental health can facilitate sustainable economic behavior. The given economic downturn, it is obvious to expect that most of the workers already suffer from social, economic, and psychological distress (23). While the sound mental health of the personnel helps them fight against any form of distress and helps them overcome them, remain active, focus on the job functions, and perform ecologically. It confirms a positive link between workers’ mental health and sustainable economic behavior. Based on the past literary arguments, we may say:

H3: Mental health has a positive relation to sustainable economic behavior.

A research article was written by Johnson and Park (24) to integrate the relationship between mindfulness through mindfulness training and emotional labor in the case of tourism and hospitality employees. This research article is based on the literature on mindfulness, training, emotional labor, burnout, and work engagement. The study reveals that when the real work at the workplace increases, it becomes an overburden for the employees, and they are not given much relaxation from work. Because of the overburden and consistent work engagement, the employee’s emotions got exhausted. Moreover, the employees are pressured with the threat that they may lose their job if they do not abide by the firms’ specific regulations and due to some uncertain event. In the firms where the employees are provided with mindfulness training, they learn how to manage their emotions and practice them during the job. A study by Ma et al. (25) claims that employees need to control their emotions at work. They must practice the feelings and actions that the circumstance at the time demands. As a result, people must continuously alter their emotions in response to situational changes. It is feasible when workers are vigilant and present at the moment at work, observing the environment and responding to changes in it. It clarifies that employees can engage in emotional labor if they have awareness. The study demonstrates the need for people to control their emotions at work. They must practice the feelings and behaviors that the circumstances at the time demand. As a result, people must continuously alter their expressions of emotions in response to changes in circumstances. It is likely to happen only when the workers are vigilant and fully present in the workplace, observing the situation, and reacting to changes. It clarifies that employees can have the ability of emotional labor if they have mindfulness (26). Based on the reviewed literature, we establish the following hypothesis:

H4: Mindfulness has a positive relation to emotional labor.

Mindfulness is defined as one’s processing of internal stimuli. At the same time, the Cognitive psychologist’s definition of mindfulness focuses primarily on one’s processing of external stimuli. The study of Enkema et al. (27) identifies the relationship between mindfulness and mental health outcomes with the help of intensive longitudinal methods. The systematic literature review technique was applied, and articles were collected with the consideration of mindfulness measures or mindfulness interventions and by keeping in mind that with the adoption of intensive longitudinal methods for the assessment of mindfulness or mental health outcomes. The study revealed that mindfulness has a positive association with mental health. A mindful employee remains alert and adjusts to the circumstances’ fluctuation to meet their goals. They are less likely to accept any stress from emotional or financial distress. So, they enjoy mental health and can better concentrate on their work.

The study presented by De Cieri et al. (28) also investigates the farmer’s sustainable economic conduct and employees’ mental health. According to the study, a person’s mental health affects their cognitive and physical capabilities and ability to make decisions and actions. Farmers in good mental health, usually free of stress, emotional anguish, and financial problems, can make more wise decisions and have superior cognitive capabilities and natural physical talents. As a result, they can engage in sustainable economic behavior because they can assess how their actions and coworkers affect the environment and society and take steps to lessen those effects. The study analyses the influences of dispositional mindfulness on individuals’ mental health in education (29). The study results confirm that dispositional mindfulness negatively affects mental health issues. Dispositional mindfulness encourages decentering and self-acceptance, while decentering and self-acceptance help reduces mental health problems. Based on the past literary arguments, we may put the following hypothesis:

H5: Mindfulness has a positive relation to mental health.

The empirical research of Nguyen et al. (30) analyses the relationship between mindfulness, emotional labor, and sustainable economic behavior. For emotional labor, the skills like endurance, patience, steadfastness, observation, analytical skills, the skill to make a practical choice, and management ability are required. The employees who have mindfulness by nature, learn from experience, and develop mindfulness from training, have achieved proficiency in all these skills. In this way, the employees’ mindfulness enhances the ability of emotional labor. When the employees are watchful and have the skills to modify their emotions according to the circumstance, they can have sustainable competitive advantages like effectively performing the assigned duties, removing problems, and finding ways through creativity. Hence emotional labor mediates between mindfulness and sustainable economic behavior. The study conducted by Salgado (31) highlights that when employees are mindful, they pay attention to their surroundings, consider the circumstances that led to them, and look for positive aspects. When they accept the changes and allow their emotions to adjust appropriately, they acquire the skills for emotional labor. For making sustainable business judgments, employees not only need to have a controlled mind but must have a heart full of managed emotions. Therefore, emotional labor as a result of mindfulness encourages workers to adopt sustainable economic behavior. The study presented by Hur et al. (32) also states that whenever firms have workers with emotional intelligence, it helps them not only manage their emotions but instead helps them in assessing the emotional aspects of the environment they work in; such organizations outperform other competing firms. This study proposed that:

H6: Emotional labor is a significant mediator between mindfulness and sustainable economic behavior.

Burzler et al. (33) wrote an academic article investigating the relationship between mindfulness, mental health, and sustainable economic behavior. The employees having mindfulness remain alert, work actively, and change themselves with the situation change to achieve their goals. They are less likely to succumb to any stress brought on by emotional or financial hardships, which helps them maintain good mental health and focus more effectively at work. When employees are active, alert, watchful, and have a healthy mind to think, concentrate, and process, it becomes feasible to implement sustainable economic development goals because employees can acquire sustainable behavior. Hence, a healthy mind builds a link between mindfulness and sustainable economic behavior. In a literary workout, Carsley et al. (34) numerate the interrelationship between mindfulness, mental health, and sustainable economic behavior.

Through proper utilization of mindfulness, employees remain in a better position to keep their minds in check and not let them succumb to the pressure exerted by the distressing aspects of their personal and professional lives. It keeps the mind in practice and healthy. On the other hand, a healthy mind helps understand the significance of sustainable development and the ways to acquire it. Moreover, for considering and implementing sustainable initiatives, the management or operational department employees must have a sound mind that can comprehend the situation and explore new ways to maintain social and environmental performance along with economic progress (35). Therefore, it can be said:

H7. Mental health is a significant mediator between mindfulness and sustainable economic behavior.

Research methodology

It is explanatory research that employs a quantitative data-gathering strategy. The research investigates the impact of mindfulness, mental health, and emotional labor on the sustainable economic behavior of farmers. Also, it examines the mediating impact of mental health and emotional labor among mindfulness and sustainable economic behavior of farmers in China. The study selected the farmers as the unit of analysis and gathered the responses using questionnaires. The measurement item scales are adopted from past literature. The variable mindfulness has six items taken from the article of Zhang et al. (36). The variable emotional labor has a 4-item scale taken from the study of Lee and Chelladurai (37). Moreover, the variable mental health has a 5-item scale taken from Berwick et al. (38). Finally, the variable sustainable economic behavior has a 4-item scale and is taken from Tommasetti (39). These measurements are given in Table 1.

TABLE 1
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Table 1. Variables and measurements.

There are two sections of the questionnaire. The respondent’s demographic information was obtained from the first part. In the second portion, we offered questions about each of our variables. The response to each question item was obtained using a 5-point Likert scale. The non-probability purposive sampling approach was used to acquire data. The questionnaire in this study was designed on a 5-point Likert scale. This form of questionnaire is said to help gather data from a large population in a trustworthy manner. Indeed, a survey-based questionnaire is vital for collecting data from respondents, since it is simple to disseminate and collect the questionnaire for analysis. As a result, this study used the same data-gathering strategy.

The scale questions were collected with careful attention and face validity. However, the common method bias (CMB) has been removed by adding a time delay, increasing the physical separation of items, or adding a cover story to deemphasize any association between the independent and dependent variables (40). This study has selected farmers as the respondents of the study. The farmers are chosen based on purposive sampling because only those with a wide range of arable land are selected. Eighty-six percent of the farmers were male, and only 14% were female, and out of those 14%, 6% were those with no son or husband who died early and managed the farms by themselves. Approximately, 63% of farmers were intermediate, 20% were undergraduates, and the rest were not qualified or had failed to answer this question. The surveys were sent to the selected farmers using personal visits. Ministry of Agriculture and Rural Affairs collects the list of farmers with a wide range of arable land.

The researchers have selected the top 5,000 farmers from the list as the total population. According to the Morgan sample size criteria, the sample size of the selected population is 357. Thus, the researchers sent 620 questionnaires to the farmers but only 358 valid surveys. These selected surveys have a 57.58% response rate. In addition, this study has taken one predictor such as mindfulness (MFN). In contrast, the study has taken two mediating variables such as emotional labor (EL) and mental health (MH), and the article has used only one dependent variable named sustainable economic behavior (SEB). These variables and their relationships are shown in Figure 1.

FIGURE 1
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Figure 1. Theoretical framework.

The study used the SPSS-AMOS to check the items and variables’ reliability and validity and also check the association among variables (see Figure 2). The applied tool deals effectively with large and small data sets and manages complex models (41). In addition, this tool assesses the validity and reliability using the measurement model and the association among variables using the structural model. In an assessment of the measurement model, convergent validity, discriminant validity, and reliability have been tested. The convergent validity has been examined with the help of maximum shared variance (MSV), the average squared shared variance (ASV), factor loadings, and average variance extracted (AVE). The standard criteria for MSV and ASV are that the values should be smaller than AVE (42, 43), while the standard criteria for AVE and factor loading are that the values should be more than 0.50 and 0.40 (44, 45), respectively. The face validity and content validity have been examined with the help of AVE and factor loadings even if you change the survey questionnaire to the native language. In addition, the reliability has been examined using composite reliability (CR), and the standard criteria are the value must be higher than 0.70 (45) and ignore Cronbach’s Alpha for this purpose as suggested in Refs. (44, 46).

FIGURE 2
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Figure 2. Measurement model assessment.

Moreover, the discriminant validity shows the construct validity and has been investigated using Fornell Larcker, and the standard criteria for Fornell Larcker are that the first value must be more significant than the other values in the same column (47, 48). In addition, the study also investigated the model’s good fitness with the help of the Tucker–Lewis index (TLI), root means, the square error of approximation (RMSEA), standardized root mean square residual (SRMR), the goodness of fit index (GFI), adjusted goodness of fit index (AGFI), and the comparative fit index (CFI). The standard criteria for RMSEA are that the values should be lower than 0.05 (42), while the standard criteria for SRMR are that the values should be less than 0.09, the standard criteria for GFI and AGFI are that the values should be more than 0.95 and 0.80, respectively (49, 50). Moreover, the standard criteria for TLI and CFI are that the values should be more significant than 0.90 (51, 52). In addition, the association among variables has been tested using a structural model. The standard criteria for the direction of the association is the sign linked with beta values. If the sign is positive, then positive relationships between independent and dependent variables and vice versa. In addition, the standard criteria for significance are that the t-statistics should be higher than 1.64, and the probability values should be less than 0.05 (43, 53). These techniques are used in the upcoming section of the study.

Research findings

The results section shows the examination of item correlation called convergent validity. The convergent validity has been examined with the help of MSV, ASV, factor loadings, and AVE. The standard criteria for MSV and ASV are that the values should be smaller than AVE (43, 52), while the standard criteria for AVE and factor loading are that the values should be more than 0.50 and 0.40, respectively (43). The results exposed that the factor loadings values are more significant than 0.40, AVE values are more prominent than 0.50, and MSV and AVE values are less than AVE values (43). These results indicated a high correlation among items and valid convergent validity. In addition, the results also show the examination of reliability using CR, and the standard criteria are that the values must be higher than 0.70 (43). The results revealed that the CR values were higher than 0.70 and indicated good reliability. These results are shown in Table 2.

TABLE 2
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Table 2. Convergent validity.

In addition, the results section also shows the correlation among variables called discriminant validity. The discriminant validity has been investigated using Fornell Larcker, and the standard criteria for Fornell Larcker are that the first value must be more significant than the other values in the same column. The results exposed that the first value is larger than the rest and exposed low correlation among variables and valid discriminant validity (43, 48). These results are shown in Table 3.

TABLE 3
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Table 3. Discriminant validity.

Moreover, the study also investigated the model’s good fitness with the help of TLI, RMSEA, and CFI. The standard criteria for RMSEA are that the values should be lower than 0.05, while the standard criteria for TLI and CFI are that the values should be more significant than 0.90 (52). The results revealed that the RMSEA value is lower than 0.05, and the TLI and CFI values are higher than 0.90 (52). Moreover, the results also exposed that the SRMR value is less than 0.09, the GFI value is more than 0.95 and the AGFI value is more than 0.80 (52). These values exposed that the model is a good fit. These results are shown in Table 4.

TABLE 4
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Table 4. Model fit indices.

The results of the structural model (Figure 3) revealed that mindfulness, mental health, and emotional labor have a positive linkage with the sustainable economic behavior of farmers in China because the beta values have a positive sign and accept H1, H2, and H3. The relationships among mindfulness, mental health, emotional labor, and sustainable economic behavior are significant because the t-statistics values are more prominent than 1.64, and probability values are lower than 0.05 (43, 54). Moreover, the results exposed that if 1% rise in mindfulness, sustainable economic behavior will also rise by 0.323% and vice versa. Furthermore, the results exposed that if a 1% rise in mental health, sustainable economic behavior will also rise by 0.383% and vice versa. Additionally, the results exposed that if 1% rise in emotional labor, sustainable economic behavior will also rise by 0.366% and vice versa. In addition, the results also revealed that mindfulness positively links mental health and emotional labor because the beta values have a positive sign and accept H4 and H5. The relationships among mindfulness, mental health, and emotional labor are significant because the t-statistics values are more extensive than 1.64, and probability values are lower than 0.05. Moreover, the results exposed that if 1% rise in mindfulness, emotional labor will also rise by 0.380% and vice versa. Similarly, the results exposed that if 1% rise in mindfulness, mental health will also rise by 0.366% and vice versa. These associations are given in Table 5.

FIGURE 3
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Figure 3. Structural model assessment.

TABLE 5
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Table 5. Path analysis.

Moreover, the results also indicated that mental health significantly and positively mediates mindfulness and sustainable economic behavior and acceptance H6 because the collective effect of mental health and mindfulness is positive. Moreover, the results also indicated that emotional labor significantly and positively mediates mindfulness and sustainable economic behavior and accept H7 because the collective effect of emotional labor and mindfulness is positive. These associations are given in Table 6.

TABLE 6
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Table 6. Indirect effects.

Discussions

The paper investigates the impact of mindfulness, mental health, and emotional labor on the sustainable economic behavior of farmers in China. The article also examines the mediating impact of mental health and emotional labor among mindfulness and sustainable economic behavior. The results showed that mindfulness has a positive relation to sustainable economic behavior. These results are in line with the study by Chan (42), which shows that in the agriculture sector, the farmers have many duties like preparation of land, planting, harvesting, breeding animals, feeding, collecting food products, performing manual labor, making a choice, and purchasing farming equipment, leading a team of farm workers, marketing of crops, forests, and animal-based products. Therefore, every decision of farmers not only holds the potential to affect their agricultural performance but can also negatively affect the environment. If the farmers are mindful, they can have better decisions and sustainable behavior. These results are also supported by Wamsler et al. (44), who examined farmers’ mindfulness and its impacts on farmers’ sustainable behavior. The study posits that if the farmers have high-level mindfulness, they not only want economic progress in the present time but try to sustain it. They keep an eye on the functioning of their farms and analyze the impacts of farm activities on the quality of the environment and stakeholders’ health. If they find any harmful strains, they try to remove them. Hence, farmers’ mindfulness leads to sustainable economic behavior.

The study results revealed that emotional labor positively relates to sustainable economic behavior. These results are supported by Sarraf (47), which highlights the emotional labor’s role in shaping sustainable behavior. The study proclaims that farmers have to perform strict physical duties in agriculture. Performing physical activities within the boundaries of a specific timetable can exert fatigue and exhaust the farmer’s emotions, which may lead them to make wrong decisions. However, if the farmers practice emotional labor, they restrain from wrongdoing and apply sustainable economic behavior. Hence, farmers with high emotional labor can develop sustainable economic behavior. These results are also in line with Nguyen and Stinglhamber (49), which suggest that to run the farming processes on a sustainable basis, it is necessary for the farmers that they must take care of the welfare of stakeholders like clients, suppliers, cow workers, and the public and develop good relations with them, irrespective of the size of farming. So, with high emotional labor, farmers adopt sustainable economic behaviors.

The study results revealed that mental health positively relates to sustainable economic behavior. These results agree with Miller et al. (51), which investigate the employees’ mental health role in farmer sustainable economic behavior. The study posits that the workers’ mental health determines their cognitive skills, physical abilities, decision-making, and behaviors. Farmers with good mental health, free from pressure, emotional distress, and financial worries, can have better cognitive skills, core physical abilities, and effective decision-making. Thus, they can adopt sustainable economic behavior as they can observe the environmental and social impacts of their functions and the activities of coworkers and take actions to mitigate negative impacts. It implies that if the farmer’s mental condition is not under the influence of any social distress, emotional disturbance, and financial distress and works effectively, they can better understand sustainable development. Thus, farmers with improved mental health can develop sustainable economic behavior.

The results indicated that mindfulness has a positive relation to emotional labor. These results are supported by Moon et al. (55), which sheds light on the farmer’s mindfulness and its role in emotional labor. The study shows that employees need to manage their emotions in the workplace. They must have to practice those emotions and behaviors that are required by the situation at a time. So, they need to keep changing their emotions with the change in the situation. It is possible only when the employees are fully present with all their senses and alertness at the workplace and observe the situation and respond to changes in the situation. It illumines that if workers have mindfulness, they can practice emotional labor. These results are also supported by Lee and Madera (56), which highlight that if the employees have mindfulness, they can better understand the situation, and they usually remain able to solve not only their own matters but also help their fellow workers. Thereby, they develop special bonding among themselves, and it becomes easy to practice emotional labor.

The results indicated that mindfulness has a positive relationship with mental health. These results are supported by Yang and Guy (57), which examine the role of mindfulness in improving mental health. The study implies that a man can have good mental health if he does not keep his mind idle, allowing it to get rusty, and does not keep it busy with just useless thoughts or activities. When a man has mindfulness, he lets his mind go through practice, paying attention to the situation around him and pondering on what is going on exactly, paying attention to someone’s utterances, and trying to think about what someone is saying and what has been the purpose behind the utterances, as well as analyzing his doings. So, he can improve his mental health. These results also agree with Bayighomog et al. (58), which reveal that in routine life, a man has to face many issues, and he may get the victim of emotional or mental distress. If he continues suffering from such distress, his mind may get paralyzed and stop working. Mindfulness motivates the man to keep on changing his thinking and not allow it just to stick to problematic matters. So, mindfulness helps maintain mental health.

The results revealed that emotional labor significantly mediators mindfulness and sustainable economic behavior. These results agree with Tran et al. (59), which reveal that when employees have mindfulness, they observe the situation around them, ponder its reasons, and find weak and good points. When they accept the changes and let the emotions change accordingly, they develop the ability of emotional labor. For making sustainable business decisions, the employees not only need to think through their minds rather have to be emotionally alert. So, as a result of mindfulness, emotional labor motivates employees to develop sustainable economic behavior. The results revealed that mental health significantly mediators mindfulness and sustainable economic behavior. These results agree with Flett et al. (60), which state that mindfulness helps employees in any economic sector, whether agriculture or industrial, to relieve emotional or financial distress and maintain mental health. This mental health assists in thinking that if they take care of the environmental and social welfare, they can have long-run economic progress.

Implications

Theoretical implications

This study has remarkable theoretical significance because it makes a lot of contributions to the literature on sustainable development. This study analyses the influences of mindfulness, emotional labor, and mental health on developing sustainable economic behavior in employees. In the previous studies, mindfulness, emotional labor, and mental health’s role in developing sustainable economic behavior in employees have been examined but with the help of a separate research survey. This study analyses these factors’ impacts on sustainable economic behavior. The relation of emotional labor and mental health to mindfulness and sustainable economic behavior has been researched. This article, which throws light on mediating role of emotional labor and mental health between mindfulness and sustainable economic behavior, removes the literary gap. This study is also a distinction, for it examines the influences of mindfulness, emotional labor, and mental health on developing sustainable economic behavior in employees at farms in China.

Managerial implications

The agriculture sector of any country has tremendous significance from both social and economic points of view as it is the source of raw material, energy sources, and animal services to different economic sectors and food products, shelter, energy, and animal services to people living in society. However, unfortunately, this industry, like the others, also has environmental influences and is affecting the stakeholder’s welfare, and the negative performance of the farms from a social and environmental point of view restricts the long-term economic development. This article guides the policy-makers in establishing policies to improve farmers’ sustainable behavior by providing awareness, strong mental health, and emotional labor. This study has tremendous empirical significance to emerging economies like China, where agriculture is an important economic sector, and people rely much on this sector to meet their needs. This study provides a guideline for developing sustainable economic behavior among farmers. The study suggests that policies must be formed to develop mindfulness among the masses to develop sustainable economic behavior among them. The employees’ mindfulness must be aroused to improve their emotional labor and mental health, which can help develop sustainable economic behavior among employees.

Conclusion

The study aims to examine the extent to which mindfulness, emotional labor, and mental health contribute toward sustainable economic behavior and to check the role of mindfulness in emotional labor and mental health. The study objective was also to analyze the role of emotional labor and mental health between mindfulness and sustainable economic behavior. The farmers in the agriculture sector of China were selected as study samples, and questionnaires were distributed to collect data for mindfulness, emotional labor, mental health, and sustainable economic behavior. The results revealed a positive relationship between mindfulness, emotional labor, and mental health to sustainable economic behavior. The results showed that when farmers have mindfulness, they pay attention to the influences of the firm’s activities on the environment, the natural resources (both living and non-living), and the welfare of stakeholders. Hence, it develops sustainable economic behavior when employees at agricultural farms can practice emotional labor. Likewise, the farmers’ mental health helps them develop thinking for sustainable economic development and adopt appropriate behavior while performing their duties at the workplace. Moreover, the study shows a positive link between mindfulness and emotional labor and mental health and a mediating role between mindfulness and sustainable economic behavior. Emotional labor and mental health are improved by mindfulness and further assist in developing sustainable economic behavior.

Limitations and future research

Like many previous studies, this study also has several limitations. With intellectual expertise, the authors can remove these limitations and write a better study on sustainable economic behavior. The study addresses only three factors, mindfulness, emotional labor, and mental health, as indicators of developing sustainable economic behavior. Many other factors can help develop sustainable economic behavior in employees, like human resources management, organizational culture, and green investment. The data for mindfulness, emotional labor, mental health, and sustainable economic behavior and their relationship were collected from farmers in the agriculture sector of china. The Chinese agriculture sector has specific management and regulations, the economic conditions are particular in themselves, and the farming size is also different from that of the agriculture sector in other countries. So, this study may not be valid equally in all countries. Moreover, this study checks the mediating role of emotional labor and mental health between mindfulness and sustainable economic behavior. Since emotional labor and mental health also affect mindfulness and sustainable economic behavior, which can be used as moderators between mindfulness and sustainable economic behavior. So, it is recommended to future authors that they must take these factors as moderators between mindfulness and sustainable economic behavior in future studies.

Data availability statement

The original contributions presented in this study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

Liaoning Petrochemical University, China reviewed and approved the studies involving human participants. The patients/participants provided their written informed consent to participate in this study. The study was conducted following the Declaration of Helsinki.

Author contributions

YZ and ML: conceptualization and data collection. YQ: writing the draft. All authors agreed to the submitted version of the manuscript.

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

1. Fernández-Portillo A, Almodóvar-González M, Coca-Pérez JL, Jiménez-Naranjo HV. Is sustainable economic development possible thanks to the deployment of ICT? Sustainability. (2019) 11:1136. doi: 10.3390/su11226307

CrossRef Full Text | Google Scholar

2. Dabbous A, Tarhini A. Does sharing economy promote sustainable economic development and energy efficiency? Evidence from OECD countries. J Innov Knowl. (2021) 6:58–68. doi: 10.1016/j.jik.2020.11.001

CrossRef Full Text | Google Scholar

3. Gryshova I, Kyzym M, Khaustova V, Korneev V, Kramarev H. Assessment of the industrial structure and its influence on sustainable economic development and quality of life of the population of different world countries. Sustainability. (2020) 12:1–25. doi: 10.3390/su12052072

CrossRef Full Text | Google Scholar

4. Ndubisi NO, Zhai AX, Lai KH. Small and medium manufacturing enterprises and Asia’s sustainable economic development. Int J Prod Econ. (2021) 233:107971. doi: 10.1016/j.ijpe.2020.107971

CrossRef Full Text | Google Scholar

5. Sandra Marcelline TR, Chengang Y, Ralison NY, Avotra AA, Hussain Z, Zonia JE, et al. Impact of green construction procurement on achieving sustainable economic growth influencing green logistic services management and innovation practices. Front Environ Sci. (2022) 9:815928. doi: 10.3389/fenvs.2021.815928

CrossRef Full Text | Google Scholar

6. Kousar S, Rehman A, Zafar M, Ali K, Nasir N. China-Pakistan economic corridor: a gateway to sustainable economic development. Int J Soc Econ. (2018) 45:909–24. doi: 10.1108/IJSE-02-2017-0059

CrossRef Full Text | Google Scholar

7. Jiao XQ, Mongol N, Zhang FS. The transformation of agriculture in China: looking back and looking forward. J Integr Agric. (2018) 17:755–64. doi: 10.1016/S2095-3119(17)61774-X

CrossRef Full Text | Google Scholar

8. Jiao XQ, Zhang HY, Ma WQ, Wang C, Li X l, Zhang FS. Science and technology backyard: a novel approach to empower smallholder farmers for sustainable intensification of agriculture in China. J Integr Agric. (2019) 18:1657–66. doi: 10.1016/S2095-3119(19)62592-X

CrossRef Full Text | Google Scholar

9. Cao Y, Zhang W, Ren J. Efficiency analysis of the input for water-saving agriculture in China. Water (Switzerland). (2020) 12:207. doi: 10.3390/w12010207

CrossRef Full Text | Google Scholar

10. Chengjun, S, Renhua S, Zuliang S, Yinghao X, Jiuchen W, Zhiyu X, et al. Construction process and development trend of ecological agriculture in China. Acta Ecol Sin. (2022). doi: 10.1016/j.chnaes.2021.05.004

CrossRef Full Text | Google Scholar

11. Dar AA, Hameed J, Huo C, Sarfraz M, Albasher G, Wang C, et al. Recent optimization and panelizing measures for green energy projects; insights into CO2 emission influencing to circular economy. Fuel. (2022) 314:123094. doi: 10.1016/j.fuel.2021.123094

CrossRef Full Text | Google Scholar

12. Nawaz A, Raheel Shah SA, Su X, Dar AA, Qin Z, Gadah Albasher. Analytical strategies to sense water stress level: an analysis of ground water fluctuations sensing SDGs under pandemic scenario. Chemosphere. (2021) 291:132924. doi: 10.1016/j.chemosphere.2021.132924

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Geiger SM, Grossman P, Schrader U. Mindfulness and sustainability: correlation or causation? Curr Opin Psychol. (2019) 28:23–7. doi: 10.1016/j.copsyc.2018.09.010

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Dhandra TK. Achieving triple dividend through mindfulness: more sustainable consumption, less unsustainable consumption and more life satisfaction. Ecol Econ. (2019) 161:83–90. doi: 10.1016/j.ecolecon.2019.03.021

CrossRef Full Text | Google Scholar

15. Fischer D, Stanszus L, Geiger S, Grossman P, Schrader U. Mindfulness and sustainable consumption: a systematic literature review of research approaches and findings. J Clean Prod. (2017) 162:544–58. doi: 10.1016/j.jclepro.2017.06.007

CrossRef Full Text | Google Scholar

16. Kong H, Jeon JE. Daily emotional labor, negative affect state, and emotional exhaustion: cross-level moderators of affective commitment. Sustainability. (2018) 10:1967. doi: 10.3390/su10061967

CrossRef Full Text | Google Scholar

17. Ko SH, Choi Y, Rhee SY, Moon TW. Social capital and organizational citizenship behavior: double-mediation of emotional regulation and job engagement. Sustainability. (2018) 10:1–15. doi: 10.3390/su10103600

CrossRef Full Text | Google Scholar

18. Yao L, Gao J, Chen C, Mu D. How does emotional labor impact employees’ perceptions of well-being? Examining the mediating role of emotional disorder. Sustainability. (2019) 11:6798. doi: 10.3390/su11236798

CrossRef Full Text | Google Scholar

19. King HB. Whose work is real work? A triple labor framework for sustainable development initiatives. Econ Anthropol. (2020) 7:215–27. doi: 10.1002/sea2.12174

CrossRef Full Text | Google Scholar

20. Folker AP, Mathiasen K, Lauridsen SM, Stenderup E, Dozeman E, Folker MP. Implementing internet-delivered cognitive behavior therapy for common mental health disorders: a comparative case study of implementation challenges perceived by therapists and managers in five European internet services. Internet Interv. (2018) 11:60–70. doi: 10.1016/j.invent.2018.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Brouwers EPM. Social stigma is an underestimated contributing factor to unemployment in people with mental illness or mental health issues: position paper and future directions. BMC Psychol. (2020) 8:36. doi: 10.1186/s40359-020-00399-0

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Kruizse H, van der Vliet N, Staatsen B, Bell R, Chiabai A, Muiños G, et al. Urban green space: creating a triple win for environmental sustainability, health, and health equity through behavior change. Int J Environ Res Public Health. (2019) 16:4403. doi: 10.3390/ijerph16224403

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Hanna P, Wijesinghe S, Paliatsos I, Walker C, Adams M, Kimbu A. Active engagement with nature: outdoor adventure tourism, sustainability and wellbeing. J Sustain Tour. (2019) 27:1355–73. doi: 10.1080/09669582.2019.1621883

CrossRef Full Text | Google Scholar

24. Johnson KR, Park S. Mindfulness training for tourism and hospitality frontline employees. Ind Commer Train. (2020) 52:185–93. doi: 10.1108/ICT-10-2019-0095

CrossRef Full Text | Google Scholar

25. Ma Y, Wang F, Cheng X. Kindergarten teachers’ mindfulness in teaching and burnout: the mediating role of emotional labor. Mindfulness. (2021) 12:722–9. doi: 10.1007/s12671-020-01538-9

CrossRef Full Text | Google Scholar

26. Lee S-A, Lee S-J, Yook Y-S, Huh Y, Lee M-G, Choi H, et al. Effects of a mindfulness-based mind-body intervention program using marine resources on the improvement of sleep quality and mood symptoms in Korean female. Koreascience. (2018) 25:58–67. doi: 10.14401/KASMED.2018.25.2.58

CrossRef Full Text | Google Scholar

27. Enkema MC, McClain L, Bird ER, Halvorson MA, Larimer ME. Associations between mindfulness and mental health outcomes: a systematic review of ecological momentary assessment research. Mindfulness. (2020) 11:2455–69. doi: 10.1007/s12671-020-01442-2

PubMed Abstract | CrossRef Full Text | Google Scholar

28. De Cieri H, Shea T, Cooper B, Oldenburg B. Effects of work-related stressors and mindfulness on mental and physical health among Australian nurses and healthcare workers. J Nurs Scholarsh. (2019) 51:580–9. doi: 10.1111/jnu.12502

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Ma Y, Siu AFY. Dispositional mindfulness and mental health in Hong Kong college students: the mediating roles of decentering and self-acceptance. Aust J Psychol. (2020) 72:156–64. doi: 10.1111/ajpy.12269

CrossRef Full Text | Google Scholar

30. Nguyen N, Dao QA, Nhan TLA, Stinglhamber F. Organizational dehumanization and emotional labor: a cross-cultural comparison between Vietnam and the United Kingdom. J Cross Cult Psychol. (2021) 52:43–60. doi: 10.1177/0022022120972183

CrossRef Full Text | Google Scholar

31. Jiménez-Picón N, Romero-Martín M, Ponce-Blandón JA, Ramirez-Baena L, Palomo-Lara JC, Gómez-Salgado J. The relationship between mindfulness and emotional intelligence as a protective factor for healthcare professionals: systematic review. Int J Environ Res Public Health. (2021) 18:5491. doi: 10.3390/ijerph18105491

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Hur WM, Shin Y, Moon TW. Linking motivation, emotional labor, and service performance from a self-determination perspective. J Serv Res. (2022) 25:227–41. doi: 10.1177/1094670520975204

CrossRef Full Text | Google Scholar

33. Burzler MA, Voracek M, Hos M, Tran US. Mechanisms of mindfulness in the general population. Mindfulness. (2019) 10:469–80. doi: 10.1007/s12671-018-0988-y

CrossRef Full Text | Google Scholar

34. Carsley D, Khoury B, Heath NL. Effectiveness of mindfulness interventions for mental health in schools: a comprehensive meta-analysis. Mindfulness. (2018) 9:693–707. doi: 10.1007/s12671-017-0839-2

CrossRef Full Text | Google Scholar

35. Matiz A, Fabbro F, Paschetto A, Cantone D, Paolone AR, Crescentini C. Positive impact of mindfulness meditation on mental health of female teachers during the COVID-19 outbreak in Italy. Int J Environ Res Public Health. (2020) 17:1–22. doi: 10.3390/ijerph17186450

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Zhang CQ, Chung PK, Si G. Assessing acceptance in mindfulness with direct-worded items: the development and initial validation of the athlete mindfulness questionnaire. J Sport Health Sci. (2017) 6:311–20. doi: 10.1016/j.jshs.2015.09.010

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Lee YH, Chelladurai P. Emotional intelligence, emotional labor, coach burnout, job satisfaction, and turnover intention in sport leadership. Eur Sport Manag Q. (2018) 18:393–412. doi: 10.1080/16184742.2017.1406971

CrossRef Full Text | Google Scholar

38. Berwick DM, Murphy JM, Goldman PA, Ware JE, Barsky AJ, Weinstein MC. Performance of a five-item mental health screening test. Med Care. (1991) 29:169–76. doi: 10.1097/00005650-199102000-00008

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Tommasetti A, Singer P, Troisi O, Maione G. Extended Theory of Planned Behavior (ETPB): investigating customers’ perception of restaurants’ sustainability by testing a structural equation model. Sustainability. (2018) 10:2580. doi: 10.3390/su10072580

CrossRef Full Text | Google Scholar

40. Nawaz A, Chen J, Su X, Zahid Hassan HM. Material based penalty-cost quantification model for construction projects influencing waste management. Front Environ Sci. (2022) 10:807359. doi: 10.3389/fenvs.2022.807359

CrossRef Full Text | Google Scholar

41. Xiaolong T, Gull N, Iqbal S, Asghar M, Nawaz A, Albasher G, et al. Exploring and validating the effects of mega projects on infrastructure development influencing sustainable environment and project management. Front Psychol. (2021) 12:1251. doi: 10.3389/fpsyg.2021.663199

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Chan EY. Mindfulness promotes sustainable tourism: the case of Uluru. Curr Issues Tour. (2019) 22:1526–30. doi: 10.1080/13683500.2018.1455647

CrossRef Full Text | Google Scholar

43. Leguina A. A primer on partial least squares structural equation modeling (PLS-SEM). Int J Res Method Educ. (2015) 38. doi: 10.1080/1743727x.2015.1005806

CrossRef Full Text | Google Scholar

44. Wamsler C, Brossmann J, Hendersson H, Kristjansdottir R, McDonald C, Scarampi P. Mindfulness in sustainability science, practice, and teaching. Sustain Sci. (2018) 13:143–62. doi: 10.1007/s11625-017-0428-2

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Sarstedt M, Ringle CM, Hair JF. Partial least squares structural equation modeling. In: Homburg C, Klarmann M, Vomberg A, editors. Handbook of Market Research. Cham: Springer (2017). doi: 10.1007/978-3-319-05542-8

CrossRef Full Text | Google Scholar

46. Asyraf WM, Afthanorhan BW. A comparison of partial least square structural equation modeling (PLS-SEM) and covariance based structural equation modeling (CB-SEM) for confirmatory factor analysis. Int J Eng Sci Innov Technol. (2013) 2:198–205.

Google Scholar

47. Ara S. Relationship between emotional labor and intrinsic job satisfaction: the moderating role of gender. J Entrep Organ Manag. (2018) 07:227. doi: 10.4172/2169-026x.1000227

CrossRef Full Text | Google Scholar

48. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Mark Sci. (2015) 43:115–35.

Google Scholar

49. Nguyen N, Stinglhamber F. Workplace mistreatment and emotional labor: a latent profile analysis. Motiv Emot. (2020) 44:474–90. doi: 10.1007/s11031-019-09803-8

CrossRef Full Text | Google Scholar

50. Kanchanatanee K. Factors affecting the intention to use e-marketing of small and medium sized businesses in the three southern border provinces of Thailand. Int J Bus Soc Sci Sci. (2014) 5:139–44.

Google Scholar

51. Miller L, Musci R, D’Agati D, Alfes C, Beaudry MB, Swartz K, et al. Teacher mental health literacy is associated with student literacy in the adolescent depression awareness program. School Ment Health. (2019) 11:357–63. doi: 10.1007/s12310-018-9281-4

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model. (1999) 6:1–55. doi: 10.1080/10705519909540118

CrossRef Full Text | Google Scholar

53. Yeasmin S, Banik R, Hossain S, Hossain MN, Mahumud R, Salma N, et al. Impact of COVID-19 pandemic on the mental health of children in Bangladesh: a cross-sectional study. Child Youth Serv Rev. (2020) 117:105277. doi: 10.1016/j.childyouth.2020.105277

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis: A Global Perspective. Hoboken, NJ: Pearson Prentice Hall (2010). doi: 10.1016/j.ijpharm.2011.02.019

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Moon TW, Hur WM, Choi YJ. How leaders’ perceived emotional labor leads to followers’ job performance: a serial mediation model. J Serv Theory Pract. (2019) 29:22–44. doi: 10.1108/JSTP-11-2017-0201

CrossRef Full Text | Google Scholar

56. Lee L, Madera JM. A systematic literature review of emotional labor research from the hospitality and tourism literature. Int J Contemp Hosp Manag. (2019) 31:2808–26. doi: 10.1108/IJCHM-05-2018-0395

CrossRef Full Text | Google Scholar

57. Yang SB, Guy ME. Comparing public servants’ behavior in South Korea and the United States: how emotional labor moderates the relationship between organizational commitment and job performance. Public Adm. (2021). doi: 10.1111/padm.12794

CrossRef Full Text | Google Scholar

58. Bayighomog SW, Ogunmokun OA, Ikhide JE, Tanova C, Anasori E. How and when mindfulness inhibits emotional exhaustion: a moderated mediation model. Curr Psychol. (2021). doi: 10.1007/s12144-021-02193-6

CrossRef Full Text | Google Scholar

59. Tran US, Wasserbauer J, Voracek M. Testing the incremental validity of dispositional mindfulness over and above the big five in accounting for mental health: a facet-level structural-equation modeling and predictor communality and dominance approach. Pers Individ Dif. (2020) 156:109769. doi: 10.1016/j.paid.2019.109769

CrossRef Full Text | Google Scholar

60. Flett JAM, Hayne H, Riordan BC, Thompson LM, Conner TS. Mobile mindfulness meditation: a randomised controlled trial of the effect of two popular apps on mental health. Mindfulness. (2019) 10:863–76. doi: 10.1007/s12671-018-1050-9

CrossRef Full Text | Google Scholar

Keywords: mindfulness, mental health, emotional labor, sustainable economic behavior, farmers health stigma

Citation: Qiu Y, Zhang Y and Liu M (2022) Dual process model of farmers’ mindfulness and sustainable economic behavior: Mediating role of mental health and emotional labor. Front. Psychiatry 13:979979. doi: 10.3389/fpsyt.2022.979979

Received: 28 June 2022; Accepted: 17 August 2022;
Published: 14 September 2022.

Edited by:

Shahid Nawaz, Islamia University of Bahawalpur, Pakistan

Reviewed by:

Salman Naeem, University of Kentucky, United States
Muddasar Ghani Khwaja, Staffordshire University, United Kingdom
Munwar Hussain Pahi, Universiti Utara Malaysia, Malaysia

Copyright © 2022 Qiu, Zhang and Liu. 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: Yue Qiu, yq20220302@163.com

Disclaimer: 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.