Please wait a minute...
Journal of Integrative Agriculture  2018, Vol. 17 Issue (08): 1900-1911    DOI: 10.1016/S2095-3119(18)62032-5
Agricultural Economics and Management Advanced Online Publication | Current Issue | Archive | Adv Search |
Is the “One Province One Rate” premium policy reasonable for Chinese crop insurance? The case in Jilin Province
ZHOU Xian-hua1, LIAO Pu1, WANG Ke
1 China Institute for Actuarial Science, Central University of Finance and Economics, Beijing 100081, P.R.China
2 Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
Abstract  
Crop insurance in China is currently adopting the premium pricing strategy of “One Province One Rate”, which appears to be in line with the systematic risk characteristics within crop insurance.  This research aims to investigate the theoretical rationalization of this pricing strategy and its implications using the spatial lag model and the county-level data from the 45 corn plant counties of Jilin Province, China.  Results corroborate that: (1) the spatial spillover effect of the corn yield risk is significant in Jilin but decreases rapidly when the risk unit includes more than eight counties; and (2) separating Jilin Province into eight risk zones for corn insurance will significantly reduce the high cross-subsidy phenomenon arising from the “One Province One Rate” strategy and shall benefit poor peasants in the region as well.  This paper not only proves the existence of a systematic risk of crop insurance but also reveals that the spatial correlation and systemic features of the crop yield risk do not create a solid foundation for the current pricing strategy of “One Province One Rate”.  These conclusions will undoubtedly provide important references and empirical evidence for the role of China’s crop insurance in poverty alleviation.
 
Received: 05 February 2018   Accepted:
Fund: This paper was supported by the Beijing Social Science Fund, China (17LJB007), the MOE (Ministry of Education, China) Project of Key Research Institute of Humanities and Social Sciences at Universities (17JJD910002) and the 111 Project (B17050).
Corresponding Authors:  Correspondence WANG Ke, Tel: +86-10-82106259, E-mail: wangke01@caas.cn    
About author:  ZHOU Xian-hua, E-mail: zhouxh@cufe-ins.sinanet.com;

Cite this article: 

ZHOU Xian-hua, LIAO Pu, WANG Ke. 2018. Is the “One Province One Rate” premium policy reasonable for Chinese crop insurance? The case in Jilin Province. Journal of Integrative Agriculture, 17(08): 1900-1911.

Anselin L. 1988. Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity. Geographical Analysis, 20, 1–17.
Barnett B J, Mahul O. 2007. Weather index insurance for agriculture and rural areas in lower-income countries. American Journal of Agricultural Economics, 89, 1241–1247.
Chantarat S, Mude A G, Barrett C B. 2009. Willingness to pay for index based livestock insurance: Results from a field experiment in northern Kenya. Radiation Protection Dosimetry, 136, 176–184.
Claassen R, Just R E. 2011. Heterogeneity and distributional form of farm-level yields. American Journal of Agricultural Economics, 93, 144–160.
Deng G, Wang A, Zhou Y, Li S. 2002. Study on risk zoning of grain yield in China. Journal of Nanjing Institute of Meteorology, 25, 373–379. (in Chinese)
Dercon S. 2001. Poverty orderings when welfare comparisons are uncertain. [2018-06-28]. https://www.economics.ox.ac.uk/materials/working_papers/paper079.pdf
Ding S Q. 1997. Discussion on setting crop insurance rates. Journal of Northeast Agricultural University, 25(Suppl.1), 104–108. (in Chinese)
Finger R. 2012. Biases in farm-level yield risk analysis due to data aggregation. German Journal of Agricultural Economics, 61, 30–43.
Glauber J W. 2004. Crop insurance reconsidered. American Journal of Agricultural Economics, 86, 1179–1195.
Goodwin B K, Ker A P. 1998. Nonparametric estimation of crop yield distributions: implications for rating group-risk crop insurance contracts. American Journal of Agricultural Economics, 80, 139–153.
Hungerford A E, Goodwin B. 2014. Big assumptions for small samples in crop insurance. Agricultural Finance Review, 74, 477–491.
Joshua D W, Schnitkey G D, Sherrick B J, Lozano-Gracia N, Anselin L. 2012. A spatial econometric analysis of loss experience in the U.S. crop insurance program. The Journal of Risk and Insurance, 79, 261–285.
Kim C W, Phipps T T, Anselin L. 2003. Measuring the benefits of air quality improvement: a spatial hedonic approach. Journal of Environmental Economics & Management, 45, 24–39.
Li X Y, Zheng X Q, Yan H W. 2004. Research on coordinates and attributes of spatial clustering method. Geography and Geo-Information Science, 20, 38–40. (in Chinese)
Lubowski R N, Bucholtz S, Claassen R, Roberts M J, Cooper J C, Gueorguieva A, Johansson R. 2006. Environmental Effects of Agricultural Land-Use Change: The Role of Economics and Policy. Economic Research Service Report. [2018-01-10]. https://www.ers.usda.gov/webdocs/publications/45609/17589_err25e_1_.pdf?v=41056
Makki S S, Somwaru A. 2001. Evidence of adverse selection in crop insurance markets. Journal of Risk and Insurance, 68, 685–708.
Miranda M, Glauber J. 1997. Systemic risk, reinsurance, and the failure of crop insurance markets. American Journal of Agricultural Economics, 79, 206–215.
Mosley P, Krishnamurthy R. 1995. Can crop insurance work? The case of India. Journal of Development Studies, 31, 428–450.
Rosenzweig M R, Binswanger H P. 1993. Wealth, weather risk and the composition and profitability of agricultural investments. Economic Journal, 103, 56–78.
Schnitkey G D, Sherrick B J, Irwin S H. 2003. Evaluation of risk reductions associated with multi-peril crop insurance products. Agricultural Finance Review, 63, 1–21.
Shi P J. 2011. Crop Insurance Divisions In The Country.Research report for the China Insurance Regulatory Commission, Beijing. (in Chinese)
Skees J R, Reed M R. 1986. Rate making for farm-level crop insurance: implications for adverse selection. American Journal of Agricultural Economics, 68, 653–659.
Skees J R, Barnett B J. 1997. Designing and rating an area yield crop insurance contract. American Journal of Agricultural Economics, 79, 430–438.
Tuo G Z,  Ding S Q. 1994. Discussion on crop insurance risk partition and rate partition. Chinese Rural Economy, (8), 43–47, 61. (in Chinese)
Wang H H, Zhang H. 2003.  On the possibility of private crop insurance market: A spatial statistics approach. The Journal of Risk and Insurance, 70, 111–124.
Xi J K, Tan H Q. 2009. Spatial clustering analysis and evaluation methods. Computer Engineering and Design, 30, 1712–1715. (in Chinese)
Ye T, Nie J L, Wu B X, Li M, Shi P J. 2012. Progress on crop insurance pricing research based on output statistical model. Scientia Agricultura Sinica, 45, 2544–2551. (in Chinese)
Young C E, Vandeveer M L, Schnepf R D. 2001. Direct payments, safety nets and supply response: Production and price impacts of U.S. crop insurance programs. American Journal of Agricultural Economics, 83, 1196–1203.
Zhou X H. 2010. Hunger breeds discontentment: literature review on crop insurance research. Insurance Studies, (5), 119–127. (in Chinese)
No related articles found!
No Suggested Reading articles found!