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Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China

文献类型： 外文期刊

作者： Li, Bo 1 ; Ding, Junqi 1 ; Wang, Jieqiong 2 ; Zhang, Biao 3 ; Zhang, Lingxian 1 ;

作者机构： 1.China Agr Univ, Beijing 100083, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Beijing 100097, Peoples R China

3.Fuyang Normal Univ, Fuyang 236037, Peoples R China

4.Minist Agr & Rural Affairs, Key Lab Agr Informationizat Standardizat, Beijing, Peoples R China

关键词： Photovoltaic agriculture; Adoption willingness; Adoption behavior; Bivariate probit; Binary logistic regression; China

期刊名称：ENERGY POLICY （ 影响因子：6.142； 五年影响因子：6.581 ）

ISSN： 0301-4215

年卷期： 2021 年 149 卷

页码：

收录情况： SCI

摘要： Agricultural fossil energy consumption increases carbon dioxide emissions and is a critical concern in China. Photovoltaic agriculture refers to combining agricultural activities and photovoltaic power generation without changing the agricultural land and affecting agricultural production. It is a new agricultural production approach and has been identified as an important measure to deal with environmental pollution and fossil energy consumption. The goal of this study was to analyze the key factors that influence the willingness, behavior, and willingness-behavior consistency of farmers to adopt photovoltaic agriculture. A survey with 643 participants was conducted in China. The bivariate probit model and the binary logistic regression were used to test nineteen influencing factors. The results showed that the proportion of farmers whose adoption willingness was consistent with the adoption behavior was 37.1%, whereas 62.9% of farmers exhibited inconsistency between adoption willingness and adoption behavior. Differences were observed in the key factors influencing the willingness, behavior, and willingness-behavior consistency of adopting photovoltaic agriculture. The usefulness perception and technical training had significant positive impacts on the adoption willingness, adoption behavior, and willingness-behavior consistency of the farmers, whereas the photovoltaic investment cost had a negative impact. The results of this study provide an understanding of the factors influencing the promotion and dissemination of photovoltaic agriculture, a basis for optimizing related policies, and references to facilitate the implementation of photovoltaic agriculture in rural areas in other countries.

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