Incentive Contract Design for Governmental Forest Ecological Benefit Compensation Under Information Asymmetry

被引:1
作者
Du, Chuanjia [1 ]
Wang, Chengjun [1 ]
Yang, Yangyang [1 ]
机构
[1] Xian Univ Architecture & Technol, Sch Management, Xian 710055, Peoples R China
基金
中国国家自然科学基金;
关键词
information asymmetry; forest ecological benefit compensation; government; forest farmers; principal-agent theory; incentive contract; ECOSYSTEM SERVICES; PAYMENTS; PROVISION; LESSONS; MARKET;
D O I
10.3390/f15122145
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
In the process of forest ecological benefit compensation, there are problems of information asymmetry and "misaligned incentives", which will reduce the compensation efficiency. In order to improve the compensation efficiency, based on principal-agent theory, this study constructs incentive contract models for governmental forest ecological benefit compensation under three different scenarios, namely, information symmetry, single-sided information asymmetry, and double-sided information asymmetry. The study finds that the government can design different incentive contracts to motivate forest farmers with high and low forestry capabilities. And the government's expected utility is influenced by the proportion of forest farmers with high and low forestry capabilities in reality. Due to the information gap between the government and forest farmers, it is inevitable that high-capability forest farmers will obtain an information rent. Under double-sided information asymmetry, the incentive coefficient for lower-capability forest farmers and their optimal actual public welfare forest conservation area decrease as the proportion of high-capability forest farmers increases. Furthermore, when the proportion of high-capability forest farmers exceeds a certain threshold, signing compensation contracts with low-capability forest farmers can harm the government's interests. The research conclusions provide a scientific basis for the government to formulate differentiated incentive contracts for forest ecological benefits. This can effectively align forest farmers' conservation behaviors with the improvement of public forest ecological benefits. As a result, it contributes to improving the efficiency of forest ecological benefit compensation.
引用
收藏
页数:27
相关论文
共 38 条
[1]   MARKET FOR LEMONS - QUALITY UNCERTAINTY AND MARKET MECHANISM [J].
AKERLOF, GA .
QUARTERLY JOURNAL OF ECONOMICS, 1970, 84 (03) :488-500
[2]   Information Asymmetry in Management Research: Past Accomplishments and Future Opportunities [J].
Bergh, Donald D. ;
Ketchen, David J., Jr. ;
Orlandi, Ilaria ;
Heugens, Pursey P. M. A. R. ;
Boyd, Brian K. .
JOURNAL OF MANAGEMENT, 2019, 45 (01) :122-158
[3]   Incentive contracts for green building production with asymmetric information [J].
Chen, Weidong ;
Li, Liming .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (06) :1860-1874
[4]   Modeling the effects of carbon payments and forest owner cooperatives on carbon storage and revenue in Pacific Northwest forestlands [J].
Chowdhury, Pranab K. Roy ;
Brown, Daniel G. .
LAND USE POLICY, 2023, 131
[5]   Determining the Ecological Compensation Standard Based on Forest Multifunction Evaluation and Financial Net Present Value Analysis: A Case Study in Southwestern Guangxi, China [J].
Deng, Cheng ;
Zhang, Shougong ;
Lu, Yuanchang ;
Li, Qingfen .
JOURNAL OF SUSTAINABLE FORESTRY, 2020, 39 (07) :730-749
[6]   Forest Ecosystem Services and Eco-Compensation Mechanisms in China [J].
Deng, Hongbing ;
Zheng, Peng ;
Liu, Tianxing ;
Liu, Xin .
ENVIRONMENTAL MANAGEMENT, 2011, 48 (06) :1079-1085
[7]  
Dragicevic A., 2021, Res. Ecol, V3, P9, DOI [10.30564/re.v3i4.4153, DOI 10.30564/RE.V3I4.4153]
[8]  
FAO, 2020, GLOBAL FOREST RESOUR, DOI [10.4060/ca9825en, DOI 10.4060/CA9825EN, 10.4060/ca9825-n, DOI 10.4060/CA9825-N]
[9]   Asymmetric information and contract design for payments for environmental services [J].
Ferraro, Paul J. .
ECOLOGICAL ECONOMICS, 2008, 65 (04) :810-821
[10]   Tournaments and contracts under asymmetric information [J].
Gao, Rui ;
Wang, Zhewei ;
Zhou, Lixue .
ECONOMIC MODELLING, 2024, 139