Induce or reduce? The crowding-in effects of farmers’ perceptions of climate risk on chemical use in China

Artikel

Farmers’ perceptions of climate risk reflect their subjective probability weighting bias, which are the prerequisite for their adaptation decisions and thus shape their actions. As an adaptation strategy, farmers prioritized the technological measures of chemical input as the most simple and convenient for climate risks. However, this is little evidence of empirical work on the mechanism between farmers’ perceptions and chemical use behavior. Based on 1080 households’ survey data from 4 leading rice provinces in China, this study develops a theoretical framework that considers adaptation decisions of heterogonous farmers within a perception-decision- action (PDA) analytical framework, and further estimates the effects of farmers’ perceptions on chemical use behavior by utilizing endogenous switching regression model. The results indicate that under ceteris paribus, the key variables “perception of climate risk” of farmers have significant effect on their claim of increase in the quantity of chemical use. Farmers who perceived very obvious climate risk increased by about 13% in the quantity of chemical use, while farmers who perceived obvious climate risk increased by 8%. We find evidence of crowding-in of farmers’ perceptions on chemical use. The paper concludes by offering some policy implications for the presented results.

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• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Climate Risk Management ; ISSN: 2212-0963 ; Volume: 20 ; Year: 2018 ; Pages: 27-37 ; Amsterdam [u.a.]: Elsevier

Classification and Topics

• Classification: Wirtschaft
• Subject: Perception of climate risk ; Chemical use ; Rice farmer ; Endogenous switching regression model ; China

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Tang, Liqun ; Zhou, Jiehong ; Bobojonov, Ihtiyor ; Zhang, Yanjie ; Glauben, Thomas
• Event: Veröffentlichung
• (who): Elsevier
• (where): Amsterdam [u.a.]
• (when): 2018

Further information

• DOI: doi:10.1016/j.crm.2018.02.001
• Handle: http://hdl.handle.net/10419/179505