ORIGINAL RESEARCH
Research on Farmers’ Low-Carbon Production Behavior: Introducing Green Cognition into the Theory of Planned Behavior
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College of Economics and Management, Nanjing University of Aeronautics and Astronautics 29 Jiangjun Avenue, Jiangning District, Nanjing City, Jiangsu Province, China
 
 
Submission date: 2023-05-21
 
 
Final revision date: 2023-08-27
 
 
Acceptance date: 2023-09-08
 
 
Online publication date: 2023-11-30
 
 
Publication date: 2024-01-03
 
 
Corresponding author
Haiqing Wang   

Nanjing University of Aeronautics and Astronautics, China
 
 
Pol. J. Environ. Stud. 2024;33(1):873-884
 
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ABSTRACT
Low-carbon production has great potential to limit greenhouse gas emissions and protect the living environment. This research innovatively introduces green cognition into the theory of planned behavior (TPB) to validate the effect of green cognition on farmers’ low-carbon production behavior. In this research, we use structural equation model (SEM) to research the low-carbon production behavior of 265 farmers in Yilan County, Harbin City, China. Our results indicate that farmers’ perceived behavioral control (PBC) has a remarkable impact in generating their low-carbon production intention, while attitude (ATT) and subjective norms (SN) have no significant positive impact. Meanwhile, it is verified that the perceived behavioral control and behavioral intention (INT) of farmers have a significant positive impact on their low-carbon production behavior. In addition, the research also verifies that green cognition (GC) has a significant positive impact on farmers’ attitudes and subjective norms of low-carbon production behavior, and green cognition may indirectly affect low-carbon production behavior through farmers’ subjective norms and intention pathways, reflecting that the extended theoretical framework of planned behavior is applicable to the research of farmers’ low-carbon production behavior.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
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eISSN:2083-5906
ISSN:1230-1485
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