Factors affecting crop insurance purchases in China: the Inner Mongolia region

Milton Boyd, Jeffrey Pai, Qiao Zhang, H. Holly Wang and Ke Wang

China Agricultural Economic Review, 2011, vol. 3, issue 4, 441-450

Abstract: Purpose - The purpose of this paper is to explain the factors affecting crop insurance purchases by farmers in Inner Mongolia, China. Design/methodology/approach - A survey of farmers in Inner Mongolia, China, is undertaken. Selected variables are used to explain crop insurance purchases, and a probit regression model is used for the analysis. Findings - Results show that a number of variables explain crop insurance purchases by farmers in Inner Mongolia. Of the eight variables in the model, seven are statistically significant. The eight variables used to explain crop insurance purchases are: knowledge of crop insurance, previous purchases of crop insurance, trust of the crop insurance company, amount of risk taken on by the farmer, importance of low crop insurance premium, government as the main information source for crop insurance, role of head of village, and number of family members working in the city. Research limitations/implications - A possible limitation of the study is that data includes only one geographic area, Inner Mongolia, China, and so results may not always fully generalize to all regions of China, for all situations. Practical implications - Crop insurance has been recently expanded in China, and the information from this study should be useful for insurance companies and government policy makers that are attempting to increase the adoption rate of crop insurance in China. Social implications - Crop insurance may be a useful approach for stabilizing the agricultural sector, and for increasing agricultural production and food security in China. Originality/value - This is the first study to quantitatively model the factors affecting crop insurance purchases by farmers in Inner Mongolia, China.

Keywords: China; Insurance; Crops; Agriculture; Crop Insurance; Purchasing behaviour; Farmers; Surveys; Regression; Probit model (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:caerpp:v:3:y:2011:i:4:p:441-450

DOI: 10.1108/17561371111192301

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