Research from Zhongnan University of Economics and Law Yields New Study Findings on Climate Change (Agricultural Insurance, Climate Change, and Food Security: Evidence from Chinese Farmers): Climate Change

2022 AUG 26 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on climate change. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “As an effective risk management mechanism, agricultural insurance can reduce the risk of uncertainty in agricultural production and guarantee food security.”

The news editors obtained a quote from the research from Zhongnan University of Economics and Law: “Based on Chinese provincial panel data from 2003 to 2020, this study uses the Entropy Method to measure food security and systematically examines the impact of climate change and agricultural insurance on food security as well as its mechanisms. The present study found that climate change, especially extreme temperatures, has a significant negative impact on food security and food production. The promotion effect of agricultural insurance on food security increases with increased investments in technology, education, and other factors. Furthermore, our findings suggest the presence of geographical variations in the contribution of agricultural insurance to ensuring food security, with greater coverage in major food-producing regions. Additionally, maize yields are better protected by agricultural insurance than wheat and rice yields.”

According to the news editors, the research concluded: “To encourage sustainable agricultural development, the Chinese government should set up a diversified subsidy scheme with various planting scales and plant structures.”

For more information on this research see: Agricultural Insurance, Climate Change, and Food Security: Evidence from Chinese Farmers. Sustainability, 2022,14(9493):9493. (Sustainability - http://www.mdpi.com/journal/sustainability). The publisher for Sustainability is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/su14159493.

Our news journalists report that additional information may be obtained by contacting Hengli Wang, Institute of Big Data, Zhongnan University of Economics and Law, Wuhan 430073, People’s Republic of China. Additional authors for this research include Hong Liu, Danyang Wang.

(Our reports deliver fact-based news of research and discoveries from around the world.)