The Optimal Contract for Land Trusteeship
- DOI
- 10.2991/978-94-6463-262-0_13How to use a DOI?
- Keywords
- Land trusteeship; Contract; principal-agent
- Abstract
Land trusteeship, as a new management mode to realize large-scale and intensive land management, has been paid more and more attention by the government and scholars. This paper develops a model to study the optimal contract of land trusteeship via principal-agent theory which is based on Tirole's (2006) entrepreneur model, and the model is numerically simulated. Theory and numerical simulation suggests that the optimal share ratio of agricultural service enterprises is positively correlated with the probability of successful land trusteeship during the due diligence work of agricultural service enterprises and the possible high net income per acre of land. The expected income of 1 acre of land , the probability of successful land trusteeship in due diligence of agricultural service enterprises and the effort degree of agricultural service enterprises in successful trusteeship have positive effect on the existence of the optimal contract; The land trusteeship fee, the expected necessary income of farmers, the private income of agricultural service enterprises, and the share ratio of agricultural service enterprises have negative effects on the existence of the optimal contract.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Cuiling Li AU - Qiuling Hou PY - 2023 DA - 2023/10/09 TI - The Optimal Contract for Land Trusteeship BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 105 EP - 113 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_13 DO - 10.2991/978-94-6463-262-0_13 ID - Li2023 ER -