Skip to main content

Advertisement

Log in

Evaluation of the crop insurance management for soybean risk of natural disasters in Jilin Province, China

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Crop insurance is one of the most useful risk management tools for natural disasters. Jilin as the main soybean production province in China suffers the natural disaster frequently by the global warming. The purpose of this study was to promote the crop insurance management of soybean risk of natural disaster in Jilin by identifying the factors affecting farmers’ decisions about participating in soybean crop insurance and estimating the willingness to pay (WTP) for soybean insurance. The analysis of data from a farmer survey in Jilin showed that droughts and pests were the main soybean disasters, most respondents recognized the importance of crop insurance, and government subsidies can significantly increase farmers’ enthusiasm about purchasing insurance; diversity of income sources was significantly negatively correlated with willingness to participate in soybean insurance, and diversity of soybean production disasters, level of awareness of the importance of soybean insurance and whether crop insurance had been used were all significantly positively correlated with farmer willingness to participate in insurance; on average, farmers were willing to pay a soybean crop insurance premium of 48.75 ¥/hm2 (equals 7.73 $/hm2, referring to the exchange rate of 2011 and 2012), and the WTP-to-premium ratio was 21.69 %. Starting the soybean crop insurance in the frequent natural disaster areas, improving farmers’ understanding of crop insurance by advertisement and training, launching some crop insurance test products to increase farmer’s experience, and implementing subsidies for crop insurance insistently were suggested to promote the development of soybean crop insurance in Jilin.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arrow KJ, Solow R, Portney PR, Leamer EE, Radner R, Schuman EH (1993) Report of the NOAA panel on contingent valuation. Fed Reg 58:4602–4614

    Google Scholar 

  • Barnett BJ, Skees JR, Hourigan JD (1990) Examining participation in federal crop insurance, staff paper No. 275. Department of Agricultural Economics, University of Kentucky, Lexington

  • Capitanio F, Bielza MDC, Cafiero C, Adinolfi F (2011) Crop insurance and public intervention in the risk management in agriculture: does farmers really benefit? Appl Econ 43:4149–4159

    Article  Google Scholar 

  • Chen ZY, Lin YY, Li WF (2008) Measurement and regression analysis on farmer’s willingness to pay for the agricultural insurance: a case study of tobacco insurance in Xingshan county. South Chin J Econ 7:34–44 (in Chinese with English abstract)

    Google Scholar 

  • Cunmings R, Taylor L (1999) Unbiased value estimates for environmental goods: a cheap talk design for the contingent valuation method. Am Econ Rev 89:649–665

    Article  Google Scholar 

  • Di Falco S, Adinolfi F, Bozzola M, Capitanio F (2014) Hedging against extreme events: crop insurance as a strategy to adapt to climate change. J Agric Econ. doi:10.1111/1477-9552.12053

    Google Scholar 

  • Dick WJA, Wang W (2010) Government interventions in agricultural insurance. Agric Agric Sci Proc 1:4–12

    Google Scholar 

  • Ding Y, Ren G, Zhai P, Zhang D, Shi G, Gong P, Zheng X, Zhao Z, Wang S, Wang H, Luo Y, Gao X, Cheng D, Dai X (2007) History and future trend of climate change. In: Li X, Qin D, Li J, Liu Y (eds) China’s national assessment report on climate change. Science and Technology Press, Beijing, pp 3–170

    Google Scholar 

  • Doering OC (2007) The political economy of public goods: why economists should care. Am J Agr Econ 89:1125–1133

    Article  Google Scholar 

  • Dole R, Hoerling M, Perlwitz J, Eischeid J, Pegion P, Zhang T, Quan XW, Xu T, Murray D (2011) Was there a basis for anticipating the 2010 Russian heat wave? Geophys Res Lett 38:L06702

    Google Scholar 

  • Enjolras G, Capitanio F, Adinolfi F (2012) The demand for crop insurance: combined approaches for France and Italy. Agric Econ Rev 13:5–22

    Google Scholar 

  • Field CB, Barros V, Stocker TF, Dahe Q, Dokken DJ, Ebi KL, Mastrandrea MD, Mach KJ, Plattner GK, Allen SK, Tignor M, Midgley PM (2012) Managing the risks of extreme events and disasters to advance climate change adaptation: summary for policy-makers. A special report of working groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press, New York

  • Gardner BL, Kramer RA (1986) Experience with crop insurance programs in the United States. In: Hazell P, Pomareda C, Valdés A (eds) Crop insurance for agricultural development: issues and experience. Johns Hopkins University Press, Baltimore, pp 195–222

    Google Scholar 

  • Garrido A, Zilberman D (2008) Revisiting the demand for agricultural insurance: the case of Spain. Agric Financ Rev 68:43–66

    Article  Google Scholar 

  • Glauber JW, Collins KJ, Barry PJ (2002) Crop insurance, disaster assistance, and the role of the federal government in providing catastrophic risk protection. Agric Financ Rev 62:81–101

    Article  Google Scholar 

  • Gong Y, Lu WS, Tao L (2003) Spatial and temporal distribution of anomalous temperature/precipitation in spring and summer as well as their relationships to drought/flood in Northeast of China. J Nanjing Inst Meteorol 26:349–357 (in Chinese with English abstract)

    Google Scholar 

  • Goodwin BK, Mahul O (2004) Risk modeling concepts relating to the design and rating of agricultural insurance contracts. World Bank, California

    Book  Google Scholar 

  • Goodwin BK, Smith VH (1995) The economics of crop insurance and disaster aid. AEI Press, Washington

    Google Scholar 

  • Goodwin BK, Vandeveer ML, Deal JL (2004) An empirical analysis of acreage effects of participation in the federal crop insurance program. Am J Agric Econ 86:1058–1077

    Article  Google Scholar 

  • Hannemann WM, Loomis JB, Kaninner BJ (1991) Statistical efficiency of double bounded dichotomous choice contingent valuation. Am J Agric Econ 73:1255–1263

    Article  Google Scholar 

  • Herriges AJ, Shogren JF (1996) Starting point bias in dichotomous choice valuation with follow-up questioning. J Environ Econ Manage 30:112–131 (in Chinese with English abstract)

    Article  Google Scholar 

  • Hui L, Liu RM, Lu YY (2008) The empirical analysis of farmer’s demand for agricultural insurance: a case study on Lianshui in Jiangsu. J Catastraphol 23:130–134 (in Chinese with English abstract)

    Google Scholar 

  • IPCC (2007) Summary for policymakers. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 1–18

  • IPCC (2013) Summary for policymakers. In: Stocker TF, Qin D, Plattner G, Tignor MMB, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Intergovernmental Panel on Climate Change, Switzerland, pp 1–27

  • Li TQ, Xu XP (2008) The empirical analysis of agricultural insurance development predicament in Yunnan Province. Bus Chin 4:71–72 (in Chinese with English abstract)

    Google Scholar 

  • Liu BC, Li MS, Guo Y, Shan K (2010) Analysis of the demand for weather index agricultural insurance on household level in Anhui, China. Agric Agric Sci Proc 1:179–186

    Google Scholar 

  • Mitchell RC, Carson RT (1989) Using surveys to value public goods: the contingent valuation method. Resources for the Future, Washington

    Google Scholar 

  • NBSC (2005) China statistical yearbook. China statistics press, Beijing, p 681

    Google Scholar 

  • NBSC (2008) China statistical yearbook. China Statistics Press, Beijing, p 766

    Google Scholar 

  • NBSC (2013) China statistical yearbook. China Statistics Press, Beijing, p 673

    Google Scholar 

  • Nieuwoudt WL, Johnson SR, Womack AW, Bullock JB (1985) The demand for crop Insurance, working paper 1985–16. University of Missouri, Columbia

  • Pall P, Aina T, Stone DA, Stott PA, Nozawa T, Hilberts AGJ, Lohmann D, Allen MR (2011) Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000. Nature 470:382–385

    Article  Google Scholar 

  • Perlwitz J, Hoerling M, Eischeid J, Xu T, Kumar A (2009) A strong bout of natural cooling in 2008. Geophys Res Lett 36:L23706

    Article  Google Scholar 

  • Stott PA, Stone DA, Allen MR (2004) Human contribution to the European heat wave of 2003. Nature 432:610–614

    Article  Google Scholar 

  • Sun F, Yang S, Chen P (2005) Climatic warming-drying trend in Northeastern China during the last 44 years and its effects. Chin J Ecol 24:751–755 (in Chinese with English abstract)

    Google Scholar 

  • Sun F, Yang S, Ren G (2007) Decade variations of precipitation event frequency, intensity and duration in the Northeast China. J Appl Meteorol Sci 18:610–618 (in Chinese with English abstract)

    Google Scholar 

  • Vandeveer ML (2001) Demand for area crop insurance among litchi producers in northern Vietnam. Agric Econ 26:173–184

    Article  Google Scholar 

  • Wang AX, Zhang Q (2008) The empirical analysis of farmers’ demand for agricultural insurance in Ordos of Neimenggu. Probl Agric Econ Supp Issue 101–106 (in Chinese with English abstract)

  • Wang HJ, Sun JQ, Chen HP, Zhu YL, Zhang Y, Jiang DB, Lang XM, Fan K, Yu ET, Yang AS (2012) Extreme climate in China: facts, simulation and projection. Meteorol Z 21:279–304

    Article  Google Scholar 

  • Wright BD, Hewitt JA (1994) All-risk crop insurance: lessons from theory and experience. In: Hueth DL, Furtan WH (eds) Economics of agricultural crop insurance: theory and evidence. Kluwer Academic Publishers, Boston, pp 73–112

    Chapter  Google Scholar 

  • Yu Z, Zhang J, Wang WX (2009) Study on public agricultural insurance in China-based on Xinjiang. Mod Appl Sci 3:71–74

    Google Scholar 

  • Yuan YL, Kong R (2010) Difference between purchases will of weather insurance and its contribution factors from farming households in west China: a comparative analysis based on fieldwork of two typical agricultural areas in Shaanxi and Gansu. J Guizhou Coll Financ Econ 148:81–86 (in Chinese with English abstract)

    Google Scholar 

  • Zhang XQ, Zhang WQ (2009) The empirical analysis of farmers’ demand for agricultural insurance in Fujian. Chin Agric Sci Bull 25:565–570 (in Chinese with English abstract)

    Google Scholar 

  • Zhang S, Zhang Y, Ji R, Cai F, Wu J (2011) Analysis of spatio-temporal characteristics of drought for maize in Northeast China. Agric Res Arid Areas 29:231–236 (in Chinese with English abstract)

    Google Scholar 

  • Zhang M, He J, Wang B, Wang S, Li S, Liu W, Ma X (2013) Extreme drought changes in Southwest China from 1960 to 2009. J Geogr Sci 23:3–16

    Article  Google Scholar 

  • Zhao JD, Feng QX (2009) An empirical study on influence factors for farm insurance needs in Anhui Province. J Anhui Agric Univ 18:8–12 (in Chinese with English abstract)

    Google Scholar 

  • Zhao CY, Ren GY, Zhang YF (2009) Climate change of the Northeast China over the past 50 years. J Arid Land Resour Environ 23:25–30 (in Chinese with English abstract)

    Google Scholar 

  • Zong X, Cui GF, Yuan J (2008) Contingent valuation of the existent economic of giant panda (Ailuropoda melanoleuca). Acta Ecol Sin 28:2090–2098 (in Chinese with English abstract)

    Google Scholar 

Download references

Acknowledgments

The research was funded by The National Natural Science Foundation of China (41171410, 41301594) and Basic Scientific Research Foundation of National non-Profit Scientific Institute (No. BSRF201102).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Buchun Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, X., Liu, Y., Bai, W. et al. Evaluation of the crop insurance management for soybean risk of natural disasters in Jilin Province, China. Nat Hazards 76, 587–599 (2015). https://doi.org/10.1007/s11069-014-1510-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-014-1510-z

Keywords

Navigation