Analysis in the Influencing Factors of Climate-Responsive Behaviors of Maize Growers: Evidence from China

Hongpeng Guo, Yujie Xia, Chulin Pan, Qingyong Lei and Hong Pan
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Hongpeng Guo: College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China
Yujie Xia: College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China
Chulin Pan: College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China
Qingyong Lei: College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China
Hong Pan: College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China

IJERPH, 2022, vol. 19, issue 7, 1-17

Abstract: Due to the natural production properties, agriculture has been adversely affected by global warming. As an important link between individual household farmers and modern agriculture, it is crucial to study the influence of agricultural productive services on farmers’ climate-responsive behaviors to promote sustainable development and improve agricultural production. In this paper, a questionnaire survey has been conducted among 374 maize farmers by using the combination of typical sampling and random sampling in Jilin Province of China. Moreover, the Poisson regression and the multi-variate Probit model have been used to analyze the effects of agricultural productive services on the choices of climate-responsive behaviors as well as the intensity of the behaviors. The results have shown that the switch to suitable varieties according to the frost-free period have been mostly common among maize growers in Jilin province. Agricultural productive services have a significant effect on the adoption intensity of climate- responsive behaviors, at the 1% level. Based on this conclusion, this paper proposes policy recommendations for establishing a sound agricultural social service system and strengthening the support for agricultural productive services. It has certain reference significance for avoiding climate risk and reducing agricultural pollution in regions with similar production characteristics worldwide.

Keywords: multi-variate Probit model; Poisson regression model; agricultural productive services (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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