Analysis of factors influencing farmers’ sustainable environmental behavior in agriculture activities: integration of the planned behavior and the protection motivation theories

Badsar, Mohammad; Moghim, Matin; Ghasemi, Mehdi

doi:10.1007/s10668-022-02468-3

Cited by 15 publications

(12 citation statements)

References 103 publications

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“…Farmers' perceived ability to perform the protective behavior and the perceived effectiveness of the recommended behavior are positively related to CSA (supporting H2a). This information is consistent with earlier studies on the acceptance of mobile SMS in the agricultural domain (Beza et al, 2018), conservation practices under drought (Keshavarz & Karami, 2016), and other protective behaviors (Badsar et al, 2022;Bubeck et al, 2012). However, we add to these previous studies that some CSA categories are significantly explained by self-efficacy, such as soil fertility practices, soil conservation, mobile apps, and mitigation-led technologies.…”

Section: Connecting Climate Risk Coping Appraisal and Secondary Risk ...supporting

confidence: 91%

“…In that case, self-efficacy refers to farmers' ability to implement drought mitigation strategies, and response efficacy is the perceived effectiveness of the practices (Keshavarz and Karami, 2016). Response cost refers to the perception of the cost associated with the protective behavior and reflects not only an economic burden but also time and emotional effort, thus is expected to relate inversely with the protection motivation (Badsar et al, 2022;Bubeck et al, 2018;Floyd et al, 2000). It has been demonstrated that farmers' decisions to uptake conservation practices and use bio-fertilizers are heavily restricted by time and financial costs (Long et al, 2016).…”

Section: Protection Motivation Theorymentioning

confidence: 99%

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Bridging the gap : Understanding farmer-system dynamics in the transition toward sustainable coffee production in Costa Rica

Rodríguez Barillas

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Chapter 1 General Introduction 1.1 Agriculture and climate change impacts: the need for mitigation and adaptation 1.2 Theoretical framework 1.2.1 Socio-technical sustainability transition 1.2.2 Policy appraisal as a starting point for policy feedback 1.2.3 Individual agency 1.2.4 Overview of CSA 1.3 Analytical framework and specific research questions 1.4 Research context 1.4.1 Key figures on Costa Rica and its agricultural sector 1.4.2 Costa Rican agricultural policy context 1.5 Methodological approach 1.5.1 Research design 1.5.2 Data collection and analysis 1.6 Reading guide for the thesis Chapter 2 Transformative policy mix or policy pandemonium? Insights from the Climate Smart Agriculture policy mix in Costa Rica Abstract 2.1 Introduction 2.2 Analytical framework 2.2.1 Balanced policy mixes for both niche support and regime destabilization 2.2.2 Policy mix characteristics: coherence and consistency 2.2.3 Influence of historical and institutional context on policy mixes 2.2.4 Policy coordination 2.3 Methodology 2.3.1 Policy mix: scope, dimensions, and boundaries 2.3.2 Data collection 2.3.3 Data analysis 2.4 Costa Rica as a case study: a transition toward Climate Smart Agriculture 2.5 Development of the transformative policy mix for Climate Smart Agriculture 2.5.1 Overview of the policy mix: policy elements 2.5.2 Directionality 2.5.3 Unraveling the CSA policy mix characteristics 2.5.4 Climate-smart policy mix context 2.5.5 Policy coordination 2.6 Discussion 2.6.1 Costa Rican CSA policy: a transformative policy mix in the making or stifled by inertia? 2.6.2 Contributions to the transformative policy mix literature 2.6.3 Limitations and future research 2.7 Conclusion Chapter 3 What determines the acceptance of Climate Smart Technologies? The influence of farmers' behavioral drivers in connection with the policy environment Abstract 3.1 Introduction 3.2 Farmers' behavioral drivers and the policy environment 3.2.1 Behavioral drivers on technology acceptance 3.2.2 Policy environment: Appraisal of the policy mix 3.3 Methodology 3.3.1 Case study: the Costa Rican Coffee sector 3.3.2 Methods 3.4 Results 3.4.1 Measurement model 3.4.2 Model estimation results 3.5 Discussion and Conclusion 3.5.1 Unpacking farmer's behavioral predictors for CSA acceptance 3.5.2 Behavioral drivers and the composition of the instrument mix 3.5.3 Unpacking the "black box" of CSA policy environment: the key role of coherence 3.5.4 Policy implications and recommendations 3.5.5 Limitations and further questions Chapter 4 Unraveling farmers' interrelated Climate-Smart Agriculture adoption decisions under perceived climate change risks Abstract 4.1 Introduction 4.2 Theoretical background 4.2.1 Protection Motivation Theory 4.2.2 Perceived risks of protective behavior 4.2.3 Farmers' social and demographic characteristics 4.2.4 Extended model 4.3 Methods 4.3.1 Study area 4.3.2 Sampling and survey 4.3.3 Variables measurement 4.3.4 Models estimation 4.4 Results 4.4.1 Descriptive statistics: dependent and explanatory variables 4.4.2 Drivers explaining in...

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Section: Connecting Climate Risk Coping Appraisal and Secondary Risk ...supporting

confidence: 91%

Section: Protection Motivation Theorymentioning

confidence: 99%

Bridging the gap : Understanding farmer-system dynamics in the transition toward sustainable coffee production in Costa Rica

Rodríguez Barillas

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“…If farmers’ ecological value cognition is high, they can foresee that pro-environmental behavior could increase their income, and protecting the environment will increase the possibility of applying pro-environmental behavior [ 15 ]. In addition, the Theory of Planned Behavior (TPB) has been one of the most important theories regarding the generation of individual behavior in social psychology [ 43 ]. It provided a specific analytical model and paradigm to explain individual behavior and revealed the generation mechanism and reason behind the behavior.…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Pro-Environmental Behavior: Examining the Role of Ecological Value Cognition, Environmental Attitude, and Place Attachment among Rural Farmers in China

Lin

2022

IJERPH

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Studies on the factors that influence farmers’ pro-environmental behavior could promote environmental management in rural areas. Jinan of China was selected as the case study area in this study. A structural equation model and multiple hierarchical regression analysis were applied to analyze the influence mechanism of ecological value cognition on pro-environmental behavior. Environmental attitudes were set as the mediating variable and place attachment was selected as the moderating variable. The results showed that (1) ecological value cognition exhibited a positive influence on pro-environmental behavior in both direct and indirect ways. The indirect influence was mediated by environmental attitude. (2) Place identity and place dependence showed a positive direct influence on pro-environmental behavior. (3) It is suggested that in order to improve pro-environmental behavior, enhancing ecological value cognition, cultivating farmers’ positive environmental attitude, increasing farmers’ place attachment, and releasing reward and punishment measures are good strategies. The findings in this study are important to the improvement of the rural ecological environment and the quality of life of farmers. Meanwhile, the findings shed light on the construction process of ecological civilization and the improvement of public welfare.

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“…By integrating the TPB and PMT, this study aims to provide a comprehensive understanding of the psychological and practical dimensions of farming decisions. The TPB sheds light on how internal and social factors influence farmers' willingness to adopt change [26], while the PMT offers insights into how they assess and respond to external threats and challenges [27]. This dual theoretical approach is instrumental in dissecting the economic and environmental factors driving agricultural transitions, as discussed by Ataei et al [28] and Laporte [29] in terms of economic aspects and Eakin et al [30] and Magdoff et al [31] in terms of environmental ones.…”

Section: Introductionmentioning

confidence: 99%

Intention to Transition: Natural Rubber Smallholders Navigating the Risks of Farming

Suriansyah,

Nurliza,

Dolorosa

et al. 2024

Sustainability

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This study delves into the decision-making dynamics of Indonesian rubber farmers amidst a significant agricultural transition from traditional rubber farming to diverse agricultural practices. Anchored in the Theory of Planned Behavior (TPB) and Protection Motivation Theory (PMT), this research elucidates the multifaceted interplay of the psychological, social, and environmental factors influencing these transitions. Utilizing Structural Equation Modeling (SEM) to analyze data from structured interviews and questionnaires, this study presents a nuanced understanding of how a higher awareness of the risks associated with rubber farming negatively impacts farmers’ attitudes, adherence to social norms, and perceived behavioral control. The findings reveal that while heightened risk understanding and threat appraisal motivate a shift towards alternative agricultural practices, factors like community norms and perceived behavioral control significantly deter this transition. This research contributes a novel integration of the TPB and PMT in the context of agricultural decision making, offering pivotal insights for stakeholders and policymakers aiming to foster sustainable agricultural practices and navigate the complex socio-economic landscape of Indonesia’s agricultural sector.

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Analysis of factors influencing farmers’ sustainable environmental behavior in agriculture activities: integration of the planned behavior and the protection motivation theories

Cited by 15 publications

References 103 publications

Bridging the gap : Understanding farmer-system dynamics in the transition toward sustainable coffee production in Costa Rica

Bridging the gap : Understanding farmer-system dynamics in the transition toward sustainable coffee production in Costa Rica

Pro-Environmental Behavior: Examining the Role of Ecological Value Cognition, Environmental Attitude, and Place Attachment among Rural Farmers in China

Intention to Transition: Natural Rubber Smallholders Navigating the Risks of Farming

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