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SUN Luyun. Demand Preference for Poverty Prevention Insurance in the Areas that Have Been Lifted out of Poverty in the New Development Stage:An Empirical Study Based on Choice Experiment Method[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(5): 49-55. DOI: 10.12371/j.ynau(s).202404065
Citation: SUN Luyun. Demand Preference for Poverty Prevention Insurance in the Areas that Have Been Lifted out of Poverty in the New Development Stage:An Empirical Study Based on Choice Experiment Method[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(5): 49-55. DOI: 10.12371/j.ynau(s).202404065

Demand Preference for Poverty Prevention Insurance in the Areas that Have Been Lifted out of Poverty in the New Development Stage:An Empirical Study Based on Choice Experiment Method

DOI: 10.12371/j.ynau(s).202404065
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  • Received Date: April 07, 2024
  • Revised Date: May 08, 2024
  • Accepted Date: May 28, 2024
  • Available Online: June 19, 2024
  • Accurately grasping farmers’ demand preference for poverty prevention insurance in the areas that have been lifted out of poverty in the new development stage is of great significance to further improve the poverty prevention insurance pilot and consolidate and expand the achievements of poverty alleviation. Using the discrete choice experiment method and the Mixed Logit model, this study analyzed the preferences and willingness to pay (WTP) of farming households in the areas that have been lifted out of poverty regarding key attributes of poverty prevention insurance. The research indicated that, the core attributes of insurance products played a vital role in determining the willingness of farming households to take up insurance. Specifically, higher coverage amounts and government premium subsidies significantly increased the demand for insurance among farming households, while higher insurance costs and delayed payouts markedly inhibit their willingness to be insured. Moreover, there was significant heterogeneity in the preference for different insurance attributes, particularly regarding premium subsidies and payout timeliness, whereas a more consistent high demand was observed for coverage amounts. WTP analysis further revealed that farming households were willing to pay extra premiums for higher coverage amounts and larger subsidy ratios, reflecting their strong emphasis on these attributes; at the same time, they showed a significant aversion to extended payout times.

  • [1]
    杜鹰. 认真总结脱贫攻坚实践经验 切实巩固拓展脱贫攻坚成果[J]. 宏观经济管理, 2021(6): 4. DOI: 10.19709/j.cnki.11-3199/f.2021.06.004.
    [2]
    刘守英, 颜嘉楠. “摘帽”后的贫困问题与解决之策[J]. 上海交通大学学报(哲学社会科学版), 2020, 28(6): 21. DOI: 10.13806/j.cnki.issn1008-7095.2020.06.004.
    [3]
    章文光. 建立返贫风险预警机制化解返贫风险[J]. 人民论坛, 2019(23): 68. DOI: 10.3969/j.issn.1004-3381.2019.23.026.
    [4]
    蒋 和 胜 , 李 小 瑜 , 田 永 . 阻 断 返 贫 的 长 效 机 制 研 究 [J]. 吉 林 大 学 社 会 科 学 学报, 2020, 60(6): 24. DOI: 10.15939/j.jujsse.2020.06.jj1.
    [5]
    YUMA N, KAZUSHI T. Can insurance payouts prevent a poverty trap? evidence from randomised experiments in Northern Kenya[J]. The Journal of Development Studies, 2020, 56(11): 2079. DOI: 10.1080/00220388.2020.1736281.
    [6]
    刘妍, 董洪帅. 保险反贫困: 政策评议、现实挑战与路径优化[J]. 云南农业大学学报(社会科学), 2022, 16(1): 31. DOI: 10.12371/j.ynau(s).202102007.
    [7]
    YU J, SUMNER D A. Effects of subsidized crop insurance on crop choices[J]. Agricultural Economics, 2018, 49(4): 533. DOI: 10.1111/agec.12434.
    [8]
    FENG H, DU X, HENNESSY D A. Depressed demand for crop insurance contracts, and a rationale based on third generation Prospect Theory[J]. Agricultural Economics, 2020, 51(1): 59. DOI: 10.1111/agec.12541.
    [9]
    贺娟. 我国农业保险参保现状及应对措施: 基于行为经济学视角[J]. 保险研究, 2020(11): 19. DOI: 10.13497/j.cnki.is.2020.11.002.
    [10]
    SMITH V H, GLAUBER J W. Agricultural insurance in developed countries: Where have we been and where are we going?[J].Applied Economic Perspectives and Policy, 2012, 34(3): 363. DOI: 10.1093/aepp/pps029.
    [11]
    侯煜庐, 张峭. 小规模农户购买农业保险意愿影响因素的综合分析[J]. 中国农业资源与区划, 2019, 40(4): 210. DOI: 10.7621/cjarrp.1005-9121.20190427.
    [12]
    汤颖梅, 蔡惠芳, 刘荣茂. 营销渠道会影响农户对巨灾保险的偏好和支付意愿吗: 基于选择实验法的实证分析[J]. 经济问题, 2020(7): 61. DOI: 10.16011/j.cnki.jjwt.2020.07.009.
    [13]
    陈军, 帅朗, 胡蝶. 水稻完全成本保险对农户参保意愿的影响: 基于湖北省545个水稻种植农户的实证分析[J]. 湖北农业科学, 2021, 60(2): 173. DOI: 10.14088/j.cnki.issn0439-8114.2021.02.036.
    [14]
    富丽莎, 汪三贵, 秦涛, 等. 森林保险保费补贴政策参保激励效应分析: 基于异质性营林主体视角[J]. 中国农村观察, 2022(2): 79.
    [15]
    MCINTOSH C , SARRIS A , PAPADOPOULOS F. Productivity, credit, risk, and the demand for weather index insurance in smallholder agriculture in Ethiopia[J]. Agricultural Economics, 2013, 44(4-5): 399. DOI: 10.1111/agec.12024.
    [16]
    WANG H H, LIU L, ORTEGA D L, et al. Are smallholder farmers willing to pay for different types of crop insurance? An application of labelled choice experiments to Chinese corn growers[J]. The Geneva Papers on Risk and Insurance - Issues and Practice 2020(45): 86. DOI: 10.1057/s41288-019-00153-7.
    [17]
    LIU P F, HOU L L , LI D Q, et al. Determinants of livestock insurance demand: Experimental evidence from Chinese herders[J]. Journal of Agricultural Economics, 2021, 72(2): 430. DOI: 10.1111/1477-9552.12402.
    [18]
    LANCASTER K J. A new approach to consumer theory[J]. The Journal of Political Economy, 1966(2)74: 132. DOI: 10.1086/259131.
    [19]
    李国志, 江梦滢.基于选择实验法的农户秸秆资源化利用政策偏好研究[J].中国农业资源与区划,2024,45(3):152. DOI: DOI:10.7621/cjarrp.1005-9121.20240315.
    [20]
    HENSHER D A, GREENE W H. The Mixed Logit model: The state of practice[J]. Transportation, 2003 (30): 133. DOI: 10.1023/A:1022558715350.
    [21]
    CHÈZE B, COLLET C, PARIS A. Estimating discrete choice experiments: Theoretical fundamentals[DB/OL]. (2021-06-16)https://ifp.hal.science/hal-03262187.
    [22]
    TRAIN K E, WEEKS M. Discrete choice models in preference and willingness-to-pay space[J]. Applications of Simulation Methods in Environmental and Resource Economics, 2005(1): 1. DOI: 10.1007/1-4020-3684-1_1.
    [23]
    FIEBIG D G, KEANE M P, LOUVIERE J,et al. The generalized multinomial logit model: Accounting for scale and coefficient heterogeneity [J]. Marketing Science, 2010, 29(3): 393. DOI: 10.1287/mksc.1090.0508.
    [24]
    AKAICHI F, COSTA-FONT J , FRANK R. Uninsured by choice? A choice experiment on long term care insurance[J]. Journal of Economic Behavior & Organization, 2020 (173): 422. DOI: 10.1016/j.jebo.2019.07.012.
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