School of Business Reports Findings in Agricultural Insurance [The impact of agricultural insurance on farmers’ income: Guangdong Province (China) as an example]: Agriculture – Agricultural Insurance

2022 OCT 21 (NewsRx) -- By a News Reporter-Staff News Editor at Daily China News -- New research on Agriculture - Agricultural Insurance is the subject of a report. According to news reporting originating in Fuzhou, People’s Republic of China, by NewsRx journalists, research stated, “This paper aims to test whether agricultural insurance significantly impacts farmers’ income increase or not. We have used the ordinary least squares method (OLS), panel fixed effects, and system generalized moment estimation (GMM) for the test.”

The news reporters obtained a quote from the research from the School of Business, “The results show that the increase in agricultural insurance density and the increase in agricultural insurance per capita compensation positively impact farmers’ income growth significantly. Agricultural insurance density and per capita compensation are the indicators used in this article to measure agricultural insurance development. Therefore, it can be considered that the development of agricultural insurance in Guangdong Province (China) can effectively increase the income level of farmers. Based on the results of theoretical and empirical analysis, combined with the current situation of agricultural insurance development in Guangdong Province, this paper finally puts forward relevant countermeasures and suggestions.”

According to the news reporters, the research concluded: “It provides some ideas for giving full play to the role of agricultural insurance in promoting farmers’ income from the perspectives of pertinent system design, subsidy methods, insurance innovation, service level, and publicity.”

For more information on this research see: The impact of agricultural insurance on farmers’ income: Guangdong Province (China) as an example. PLOS ONE, 2022;17(10). PLOS ONE can be contacted at: Public Library Science, 1160 Battery Street, Ste 100, San Francisco, CA 94111, USA. (Public Library of Science - www.plos.org; PLOS ONE - www.plosone.org)

Our news correspondents report that additional information may be obtained by contacting Mkhitaryan Davit, School of Business, Fuzhou Melbourne Polytechnic, MinJiang University, Shangjie District, Fuzhou, Fujian Province, People’s Republic of China. Additional authors for this research include Miraj Ahmed Bhuiyan, Zeng XinBin and Zhang Zurong.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1371/journal.pone.0274047. 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.

The publisher of the journal PLOS ONE can be contacted at: Public Library Science, 1160 Battery Street, Ste 100, San Francisco, CA 94111, USA.

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