我国森林保险保障水平差异化需求分析与政策设定——基于收入分化与经营规模化新背景

江西财经大学学报 ›› 2022, Vol. 0 ›› Issue (3): 60-72.

我国森林保险保障水平差异化需求分析与政策设定——基于收入分化与经营规模化新背景

富丽莎¹, 秦涛², 张晞²

1.中国人民大学农业与农村发展学院,北京 100872;
2.北京林业大学经济管理学院,北京 100083

收稿日期:2022-01-10 修回日期:2022-03-25 出版日期:2022-05-25 发布日期:2022-06-15
通讯作者: 秦涛,北京林业大学教授,主要从事林业金融研究,联系方式qintao415@126.com。
作者简介:富丽莎,中国人民大学博士后,主要从事农林经济政策研究;张晞,北京林业大学博士研究生,主要从事林业金融与森林保险研究。
基金资助:
国家社会科学基金一般项目“森林保险精准扶贫效果评估与财政补贴机制优化研究”（19BGL052）; 教育部人文社会科学研究青年基金项目“我国森林保险精准扶贫效应评估与机制优化研究”（20YJA790059）; 北京市社会科学基金项目“北京市公益林保险产品创新与运行模式优化”（18YJB011）

Differential Demand Analysis and Policy Setting of Forest Insurance Guarantee Level in China: Based on the New Background of Income Disparity and Operation Scale

FU Li-sha¹, QIN Tao², ZHANG Xi²

1. Renmin University of China, Beijing 100872;
2. Beijing Forestry University, Beijing 100083, China

Received:2022-01-10 Revised:2022-03-25 Online:2022-05-25 Published:2022-06-15

摘要/Abstract

摘要： 随着林业生产与经营环境的变化,偏低且单一的森林保险保障水平已无法适应新形势与新背景下营林主体的实际风险保障需求。为此,首先基于合理假设理论探讨了收入分化背景下与经营规模化背景下异质性营林主体的差异化风险保障需求,并从保障水平影响因素与设定方式出发,围绕提高保障水平和增加保障水平层次两个维度探讨新背景下我国森林保险保障水平的政策选择与设定。结果表明：森林保险对林业专业户的风险与收益保障作用最强,林业兼业户次之,非林户最弱。各营林主体整体参保收益水平随保障水平的提高而增加,且相较于低风险地区,高风险地区营林主体的风险保障需求更高。同时,相较于小林农,新型林业经营主体因参保抗自然风险与抗金融风险预期收益更大,使得其对森林保险风险保障水平的要求也更高。此外,基于对桉树林、松树林和杉木林再植成本的调研数据,将森林保险基础保障水平设定为1500元/亩,在此基础上提高并设定多层保障水平;同时考虑这三类树种与树龄设置差异化的多层级保障水平,以期实现森林保险保障水平的“提标”与“增品”。

关键词: 森林保险, 收入分化, 经营规模化, 异质性营林主体

Abstract: With the changes of forestry production and operation environment, the lower and single forest insurance guarantee level cannot meet the actual risk guarantee needs of forest operators in the new situation and under the new background. Therefore, firstly, based on the theory of reasonable hypothesis, this paper explores the differentiated risk guarantee needs of heterogeneous forest operators under the background of income differentiation and large-scale operation. Then, starting from the influencing factors of guarantee level and the way of setting, it explores the policy choice and setting of China’s forest insurance security level under the new background from the two dimensions of improving the security level and increasing the layers of security level. The results show that forest insurance plays the strongest role in ensuring the risks and income of forestry specialized households, followed by forestry households with combined occupations, and non-forest households are the weakest. The overall insurance income level of each forest operation subject increases with the improvement of the guarantee level, and the risk protection demand of forest operation subjects in high-risk areas is higher than that in lower-risk areas. Meanwhile, compared with small forest farmers, the new forestry operation subjects have greater expected benefits due to their participation in insurance against natural risks and financial risks, and have higher requirements for the risk guarantee level of forest insurance. In addition, based on the survey data of the replanting cost of eucalyptus forest, pine forest and Chinese fir forest, the basic guarantee level of forest insurance is set at 1500 yuan / mu, on this basis, the multi-layer guarantee level is improved and set; at the same time, the differentiated multi-layer guarantee level should be set by considering these three kinds of tree species and tree age, so as to realize the “standard raising” and “variety increasing” of forest insurance guarantee level.

Key words: forest insurance, income disparity, operation scale, heterogeneous silvicultural subject

中图分类号:

F842.6

富丽莎, 秦涛, 张晞. 我国森林保险保障水平差异化需求分析与政策设定——基于收入分化与经营规模化新背景[J]. 江西财经大学学报, 2022, 0(3): 60-72.

FU Li-sha, QIN Tao, ZHANG Xi. Differential Demand Analysis and Policy Setting of Forest Insurance Guarantee Level in China: Based on the New Background of Income Disparity and Operation Scale[J]. Journal of Jiangxi University of Finance and Economics, 2022, 0(3): 60-72.

参考文献

[1] Hyde W.F., Yin R. S. 40 Years of China's Forest Reforms: Summary and Outlook[J]. Forest Policy and Economics. 2019, 98(1): 90-95.
[2] 李亚军. 基于保险费率、购买意愿和补贴效益的森林保险业发展与对策研究[D]. 北京林业大学,2014.
[3] 宋烨,彭红军. 森林保险市场发展现状及制约因素研究综述[J]. 世界林业研究,2019,(2):1-8.
[4] 王克,何小伟,肖宇谷. 张峭. 农业保险保障水平的影响因素及提升策略[J]. 中国农村经济,2018,(7):34-45.
[5] 中国农业保险保障水平研究课题组. 中国农业保险保障水平研究报告[M]. 北京:中国金融出版社,2017.
[6] 张峭,王克,李越. 我国农业保险风险保障:现状、问题和建议[J]. 保险研究,2019,(10):3-18.
[7] 牛浩,陈盛伟,安康,孟光辉. 农业保险满足新型农业经营主体的保障需求了吗?——基于山东省422家省级示范家庭农场的证据[J]. 保险研究,2020,(6):58-68.
[8] 富丽莎,秦涛,潘焕学. 森林保险制度体系重塑与运行机制优化[J]. 浙江农业学报,2020,(6):1112-1122.
[9] 左璇,张峭. 基于保障指数的农业保险保障水平评价——以北京各区县为例[J]. 灾害学,2016,(4):191-195.
[10] Huang Z.Y., Zuo A., Sun J. M., Guo Y. Z. Potato Farmers’ Preference for Agricultural Insurance in China: An Investigation Using the Choice Experimental Method[J]. Journal of Integrative Agriculture, 2020, 19(4): 1137-1148.
[11] 余洋. 基于保障水平的农业保险保费补贴差异化政策研究——美国的经验与中国的选择[J]. 农业经济问题,2013,(10):29-35+110.
[12] Hohl R.M. Agricultural Risk Transfer: From Insurance to Reinsurance to Capital Markets[M]. United Kingdom: Chester John Wiley & Sons, 2019.
[13] Quentin S., Michael C., Catherine G., Wouter G.The Spillover Impact of Index Insurance on Agricultural Investment by Cotton Farmers in Burkina Faso[J]. The World Bank Economic Review, 2022, 36(1): 114-140.
[14] 彭东生,温常青. 森林保险制度经济后果比较分析与路径选择——以江西省为例[J]. 林业经济,2016,(4):70-73+96.
[15] Was A., Kobus P.Factors Differentiating the Level of Crop Insurance at Polish Farms[J]. Agricultural Finance Review, 2018, 78(2): 209-222.
[16] 乔慧淼,智迪迪. 新型农业经营主体对农业保险的需求研究[C]. 2019中国保险与风险管理国际年会论文集,2019.
[17] 张德成,谢和生,马一博,朱洁净,范圣明. 用材林保险金额计算方法研究[J]. 保险研究,2020,(12):70-81.
[18] 孙晓敏,秦涛,张晞,宋蕊. 基于文献计量分析的森林保险研究进展与展望[J]. 林业经济,2020,(11):75-87.
[19] 秦涛,田治威,潘焕学. 我国森林保险保费补贴政策执行效果、存在的主要问题与建议[J]. 经济纵横,2017,(1):105-110.
[20] 秦涛,靳承卓,赵圃婕. 我国森林保险发展困境与优化策略——以贵州省为例[J]. 金融理论与实践,2021,(5):104-110.
[21] 富丽莎,秦涛,潘焕学,邓晶. 森林保险保费补贴政策的林业产出规模效应实证分析——基于双重差分模型与事件研究模型[J]. 浙江农业学报,2021,(2):355-368.
[22] 许时蕾,张寒,刘璨,杨红强. 集体林权制度改革提高了农户营林积极性吗——基于非农就业调节效应和内生性双重视角[J]. 农业技术经济,2020,(8):117-129.
[23] 刘海巍,陈珂. 非农就业如何影响农户的森林保险需求?——基于林地确权的调节效应[J]. 商业研究,2020,(3):85-93.
[24] 张伟,黄颖,李长春,陈宇靖. 收入分化、需求演变与农业保险供给侧改革[J]. 农业经济问题,2018,(11):123-134.
[25] 曹兰芳,彭城,文彩云,曾玉林. 集体林区异质性农户森林保险需求及差异研究——基于湖南省500户农户面板数据[J]. 农业技术经济,2020,(5):82-92.