The impact of agricultural insurance on farmers’ income: Guangdong Province (China) as an example

Miraj Ahmed Bhuiyan, Mkhitaryan Davit, Zeng XinBin and Zhang Zurong

PLOS ONE, 2022, vol. 17, issue 10, 1-20

Abstract: 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 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. 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.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0274047 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 74047&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0274047

DOI: 10.1371/journal.pone.0274047

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().