Evolutionary Game and Simulation in Forest Rights Exchange Based on the Supplier-Demander View
At present, the forest rights exchange market in China is in its early stages. Forest rights exchange faces low circulation problems. The strategic choices of supply and demand play an important role in enhancing the efficiency of forest rights exchange. However, only limited empirical evidence has...
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Published in | Mathematical problems in engineering Vol. 2022; pp. 1 - 10 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
Hindawi
08.11.2022
John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 1024-123X 1563-5147 |
DOI | 10.1155/2022/9525675 |
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Abstract | At present, the forest rights exchange market in China is in its early stages. Forest rights exchange faces low circulation problems. The strategic choices of supply and demand play an important role in enhancing the efficiency of forest rights exchange. However, only limited empirical evidence has been provided on the strategic selection of forest rights exchange from the perspective of the dynamic game. Based on field investigation, this study constructed a dynamic game model and explored the dynamic evolution process of different strategic behaviors based on evolutionary game theory. Furthermore, a numerical simulation was conducted to evaluate the rationality of the theoretical model. The results show that several factors affected the strategies of transaction subjects including transaction price, transaction cost, forestry revenue, and nonforestry revenue. These factors are important means to regulating the forest rights exchange. In terms of policy implications, we suggest that diversity measures should also be considered to formulate policies of transaction price management and to encourage forestland owners to exchange forestland with enterprises and cooperatives. Moreover, additional efforts are needed to establish and improve the forest rights exchange market. |
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AbstractList | At present, the forest rights exchange market in China is in its early stages. Forest rights exchange faces low circulation problems. The strategic choices of supply and demand play an important role in enhancing the efficiency of forest rights exchange. However, only limited empirical evidence has been provided on the strategic selection of forest rights exchange from the perspective of the dynamic game. Based on field investigation, this study constructed a dynamic game model and explored the dynamic evolution process of different strategic behaviors based on evolutionary game theory. Furthermore, a numerical simulation was conducted to evaluate the rationality of the theoretical model. The results show that several factors affected the strategies of transaction subjects including transaction price, transaction cost, forestry revenue, and nonforestry revenue. These factors are important means to regulating the forest rights exchange. In terms of policy implications, we suggest that diversity measures should also be considered to formulate policies of transaction price management and to encourage forestland owners to exchange forestland with enterprises and cooperatives. Moreover, additional efforts are needed to establish and improve the forest rights exchange market. |
Author | Wei, Yuanzhu Lin, Junjie Zhang, Qun |
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Cites_doi | 10.1016/j.comcom.2020.07.041 10.1016/j.landusepol.2017.11.050 10.1016/j.forpol.2020.102215 10.1016/j.landusepol.2018.02.013 10.1016/j.jretconser.2020.102227 10.1016/j.cogsys.2021.02.003 10.1155/2022/5766638 |
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Copyright | Copyright © 2022 Junjie Lin et al. Copyright © 2022 Junjie Lin et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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References | 23 W. Zhu (7) 2018; 40 T. Lin (18) 2018; 32 Y. Han (9) 2020; 40 X. Xu (6) 2018; 9 D. Lv (11) 2014; 34 H. Xiao (5) 2019; 39 C. Hu (10) 2011; 73 Z. Liu (3) 2018; 4 Q. Leng (24) 2011; 26 Q. Rong (12) 2017; 39 14 C. Liu (19) 2020; 5 15 Y. Xie (1) 2013; 12 16 17 L. Li (25) 2015; 35 T. Lin (13) 2018; 32 Y. Liu (20) 2012; 32 Q. Lu (8) 2018; 38 National Forestry and Grassland Administration (2) 2017 4 K. Xu (22) 2015; 37 21 |
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SubjectTerms | Behavior Costs Efficiency Exchanging Field investigations Forestry Forests Game theory Mathematical models Mathematical problems Property rights Revenue Simulation Suppliers |
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Title | Evolutionary Game and Simulation in Forest Rights Exchange Based on the Supplier-Demander View |
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