2022
DOI: 10.3389/fpsyg.2022.922889
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Driving mechanism of subjective cognition on farmers’ adoption behavior of straw returning technology: Evidence from rice and wheat producing provinces in China

Abstract: Straw burning is one of the important causes of environmental pollution in rural China. As an important green production technology, straw returning is beneficial to the improvement of rural environment and the sustainable development of agriculture. Based on the improved planned behavior theory, taking the survey data of 788 farmers in Shandong, Henan, Hubei, and Hunan provinces as samples, this paper uses a multi-group structural equation model to explore the driving mechanism of subjective cognition on the … Show more

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Cited by 15 publications
(4 citation statements)
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“…Academic explorations of farmers' choices of technology and the influencing factors generally unfold along four main dimensions: (1) A comprehensive analysis of the various factors: research undertaking a quantitative analysis of the diverse factors influencing farmers' choices of technology, considering both internal and external factors [12] as well as the perspectives of micro-individuals and macropolicies [13][14][15]. (2) A focus on specific factors: Some studies have honed in on specific factors affecting farmers' decisions concerning technology, such as technological awareness [16][17][18][19], technological environment [20], risk preferences [21,22], migration for work [23], market conditions [24], policy incentives, and others [25][26][27]. (3) Classification based on technological attributes: research has categorized the impact of different technological attributes on farmers' technology choice, including single attribute characteristics [28] and multi-attribute features [29].…”
Section: Timesmentioning
confidence: 99%
“…Academic explorations of farmers' choices of technology and the influencing factors generally unfold along four main dimensions: (1) A comprehensive analysis of the various factors: research undertaking a quantitative analysis of the diverse factors influencing farmers' choices of technology, considering both internal and external factors [12] as well as the perspectives of micro-individuals and macropolicies [13][14][15]. (2) A focus on specific factors: Some studies have honed in on specific factors affecting farmers' decisions concerning technology, such as technological awareness [16][17][18][19], technological environment [20], risk preferences [21,22], migration for work [23], market conditions [24], policy incentives, and others [25][26][27]. (3) Classification based on technological attributes: research has categorized the impact of different technological attributes on farmers' technology choice, including single attribute characteristics [28] and multi-attribute features [29].…”
Section: Timesmentioning
confidence: 99%
“…To give subsequent researchers a comprehensive and useful information base, it is required, according to Si et al (2019), to examine the development and implementation of the TPB in the field of environmental science. The theory highlights that behavioral response is directly propelled by behavioral intention, and behavioral intention is shaped by subjective cognition, which serves as the influential factor (Ren and Zhong, 2022). According to Adnan et al (2019), a person's "normative belief system, " which is a formulation of anticipation and value, controls their understanding of society standards.…”
Section: Theoretical Framework and Hypothesesmentioning
confidence: 99%
“…Referring to the research of Ren and Zhong (2022) and Boz (2016) , the utilization decision and utilization intensity were used to characterize the resource utilization behavior of livestock manure of farmers. Since the most direct form of resource utilization behavior of farmers is “yes” and “no,” the utilization decision adopts the binary assignment method.…”
Section: Data Variables and Modelmentioning
confidence: 99%