Investigators from Zhongnan University of Economics & Law Target Agricultural Insurance (Agricultural Insurance and Pesticides Selection In China: Traditional or Green?): Agriculture – Agricultural Insurance

2024 MAR 21 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Current study results on Agriculture - Agricultural Insurance have been published. According to news reporting originating in Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “PurposeNumerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’ selection on green or traditional pesticides. This paper aims to develop a theoretical model about how agricultural insurance influences on green pesticides selections and tests our conclusions by using the data from China land economic survey (CLES) from 2020 to http://2021.Design/methodology/approachWe employ probit model to capture the effects of agricultural insurance on green pesticides adoption.FindingsWe indicate that green pesticides have a stronger effect on stabilizing yield and increasing income than traditional pesticides, but there are still risks disturbing farmers’ decisions on green pesticides usage.”

Financial supporters for this research include National Natural Science Foundation of China (NSFC), Guangdong Natural Science Foundation: Research on cross border cooperation mechanism for foodsafety governance in the Guangdong, Hong Kong, Macao greater bay area.

The news reporters obtained a quote from the research from the Zhongnan University of Economics & Law, “By providing premium subsidies after the farmers are affected by natural risk, agricultural insurance improves the farmers’ expected income and encourages farmers to use green pesticides. Further, we further confirm these conclusions by considering different scenarios such as climate risks, farmers’ entrepreneurship and credit constraints. We find that the effects are more salient if croplands are under higher natural risks and, farmers are equipped with entrepreneurship and formal credit. This paper implies that the agricultural insurance decoupled with green technologies also have salient positive effects on agricultural pollution http://control.Originality/valueThe potential contributions of this paper can be outlined in three aspects in detail. Firstly, this paper aims to revel the effects of agricultural insurance on pesticide selection by structuring a general theoretical model. By using the CLES data from 2020 to 2021, we confirm that agricultural insurance increases the probability for adopting green pesticides. Secondly, this paper discusses the effects of farmers’ characteristics on the results and finds that if farmers have entrepreneurship, the effects of agricultural insurance on green pesticide usage will be more salient. Thirdly, it uncovers some practices in China, which will supply experiences for other developing countries. For example, this paper further demonstrates that ‘insurance + credit’ plan the present Chinese government carried out will be an important measure for strengthening effects of agricultural insurance on green pesticides usage.”

According to the news reporters, the research concluded: “Moreover, it shows that decouple agricultural policies will also guide farmers to use green technologies eventually if the technologies are reliable and farmers can afford.”

This research has been peer-reviewed.

For more information on this research see: Agricultural Insurance and Pesticides Selection In China: Traditional or Green? Kybernetes, 2024. Kybernetes can be contacted at: Emerald Group Publishing Ltd, Floor 5, Northspring 21-23 Wellington Street, Leeds, W Yorkshire, England.

Our news correspondents report that additional information may be obtained by contacting Zhuang Zhang, Zhongnan University of Economics & Law, School of Business Administration, Wuhan, People’s Republic of China.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1108/K-11-2023-2284. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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