Empirical Study of Distribution of Incremental Land Revenue: Case Study of Jiutai District in Northeast China
Publication: Journal of Urban Planning and Development
Volume 147, Issue 4
Abstract
Recent reforms in the distribution of incremental land revenue in China aimed to establish an optimal scheme for the rational and equitable allocation of appreciation revenue from land that has been expropriated from peasant collectives, which effectively enables development and protects the interests of the peasants. First, the Shapley value method will be used to formulate a preliminary scheme for the equitable distribution of incremental land revenue between the government and peasant collectives, then a risk assessment procedure will be applied to adjust the allocations following both stakeholders' risks and contributions. The rationality of the resulting allocation scheme will be verified by comparing the theoretical results with the actual allocation of benefits accrued from transfers of rural collectives' operational construction land over 3 years in Jiutai District, Changchun City, Jilin Province, China. A questionnaire survey will be used to clarify peasants' opinions of land expropriation. The results obtained with the Shapley value method indicated that the government and relevant peasant collective were entitled to 93.19% and 6.81%, respectively, of the incremental land revenue based on their contributions. However, the corresponding allocations following risk adjustment were 90.83% and 9.17%, because the peasants have higher risks than the government. The peasants could generate CNY 38.38 × 104/ha by directly marketing their rural collectives' operational construction land. This is similar to the amount (CNY 37.99 × 104/ha) that they could obtain from the modified land expropriation system proposed in this study, which includes a share of the incremental land revenue. In addition, it agrees with the results of two pilot studies and meets the objectives of the reform. However, the questionnaire results showed that the peasants were in a weak position following land expropriation, and the current land expropriation system should include measures that safeguard their long-term well-being, which includes the dissemination of land expropriation information, strengthening of capital supervision, and the establishment of diversified, long-term security mechanisms.
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Acknowledgments
This work was supported by the Science and Technology Strategy and Planning Research of Jilin Science and Technology Department (Grant No. 20200101119FG), the Pilot Project of Investigation and Evaluation for Economical and Intensive Use of Construction Land by the Ministry of Land and Resources (Grant No. 201221106437), the Pilot Project of Intensive Utilization Evaluation and Policy Research for Education Land Use in Colleges and Universities by the Ministry of Land and Resources (Grant No. 201321106340), and the Jilin Provincial Department of Education “13th Five-Year” Science and Technology Project (Grant No. JJKH20180163KJ).
References
Alvarez, X., M. Gomez-Rua, and J. Vidal-Puga. 2019. “River flooding risk prevention: A cooperative game theory approach.” J. Environ. Manage. 248: 109284. https://doi.org/10.1016/j.jenvman.2019.109284.
Bi, G., Q. Yang, J. Zhang, and X. Cheng. 2018. “China’s rural land institutional reform in the past 40 years since the reform and opening up and its future directions.” China Land Sci. 32 (10): 1–7.
Bochenek, M. 2017. “The topicality of David Ricardo’s thought (on the bicentenary of the publication ‘On the principles of political economy, and taxation’).” Econ. Law 16 (3): 287–300. https://doi.org/10.12775/EiP.2017.020.
Chen, X., and D. Lan. 2004. “Social security system construction for the peasants who lost land.” China Soft Sci. 3: 15–21.
Chen, Y., S. Tan, and A. Zhang. 2009. “Calculation of land incremental value in the process of farmland acquisition in Wuhan.” China Land Sci. 23 (12): 16–21.
Faigle, U., M. Grabisch, A. Jimenez-Losada, and M. Ordonez. 2016. “Games on concept lattices: Shapley value and core.” Discrete Appl. Math. 198: 29–47. https://doi.org/10.1016/j.dam.2015.08.004.
Gao, J., X. Yang, and D. Liu. 2017. “Uncertain Shapley value of coalitional game with application to supply chain alliance.” Appl. Soft Comput. 56: 551–556. https://doi.org/10.1016/j.asoc.2016.06.018.
Gao, Y., D. Zhu, X. Wang, and P. Zheng. 2006. “Study on the relationship between components of farmland expropriation price and land value increase.” China Land Sci. 20 (2): 2–7.
He, Y., X. Huang, and X. Yang. 2017. “Social vulnerability assessment of land-lost households in urban fringe of Xi’an.” Econ. Geogr. 37 (4): 149–157.
Jeder, H., S. Hattab, and I. Frija. 2020. “An econometric analysis for food security in Tunisia.” New Medit 19 (4): 3–14. https://doi.org/10.30682/nm2004a.
Li, H., and P. Zhang. 2011. “Research progress and prospective applications of vulnerability approach under global change.” Prog. Geogr. 30 (7): 920–929.
Liang, L., J. Li, C. Chen, X. Li, and M. Zhang. 2018. “Calculation of land increment income and its reasonable distribution in land conversion in undeveloped region.” J. Arid Land Resour. Environ. 32 (3): 44–49.
Liang, Y., and S. Li. 2014. “Landless female peasants living in resettlement residential areas in China have poorer quality of life than males: Results from a household study in the Yangtze River Delta region.” Health Qual. Life Outcomes 12 (1): 1–17. https://doi.org/10.1186/1477-7525-12-71.
Lin, R., D. Zhu, J. Liu, and X. Zhou. 2013. “Research on the steps of land incremental value formation and its relationship with revenue distribution.” China Land Sci. 27 (2): 3–8.
Liu, L., and X. Yang. 2009. “Study on compensation, allocation and living conditions of land-lost peasants: A case of high & new technology development zone in Tai’an city.” China Land Sci. 23 (4): 29–40.
Liu, R., D. Huang, and S. Liu. 2010. “The informal housing market in Beijing’s rural areas: Its formation and operating mechanism amidst the process of urbanization.” Geog. Res. 29 (8): 1355–1368.
Liu, Y., H. Geng, W. Sun, C. Li, and X. Chu. 2017. “Explanation to the driving factors for the construction land expansions regional in the Yangtze River Delta urban agglomeration—based on the Shapley value decomposition method of the regression equation.” Resour. Environ. Yangtze Basin 26 (10): 1547–1555.
Ma, X., and F. Qu. 2006. “Research on increment income configuration mechanism & distribution of farmland requisition during the period of economic transition.” China Land Sci. 20 (5): 2–6.
Militano, L., M. Nitti, L. Atzori, and A. Iera. 2016. “Enhancing the navigability in a social network of smart objects: A Shapley-value based approach.” Comput. Networks 103: 1–14. https://doi.org/10.1016/j.comnet.2016.03.007.
Muros, F. J., J. M. Maestre, E. Algaba, T. Alamo, and E. F. Camacho. 2014. “An iterative design method for coalitional control networks with constraints on the Shapley value.” IFAC Proc. Vol. 47 (3): 1188–1193. https://doi.org/10.3182/20140824-6-ZA-1003.02616.
Qie, R., Q. Shi, and S. Dou. 2016. “Study on land value-added benefit distribution mechanism in farmland conversion from agricultural use to urban use—A case study of Jilin province.” Resour. Dev. Market 32 (9): 1088–1092.
Wu, D., Q. Dai, and X. Zhu. 2016. “Measuring the effect of project risks based on Shapley value for project risk response.” Procedia Comput. Sci. 91: 774–778. https://doi.org/10.1016/j.procs.2016.07.076.
Wu, W., W. Zhang, Z. Liu, and X. Huang. 2010. “Tempo-spatial analysis of the residential land’s spatial pattern in Beijing.” Geog. Res. 29 (4): 683–692.
Wu, W., S. Zhou, D. Yang, W. Guan, and Z. Li. 2013. “Estimation of the value-added effect on residential land price in riverfront sub-city owing to river.” Geog. Res. 32 (1): 29–40.
Wu, Y., and X. Sun. 2018. “The review and prospect of land use policy in China after the 40 years of reform and opening up: An urbanization perspective.” China Land Sci. 32 (7): 7–14.
Xu, J., Y. Xu, X. Pang, X. Yao, M. Hao, and C. Jin. 2017. “Study on land incremental value distribution based on contribution-risk analysis of farmland acquisition.” China Land Sci. 31 (3): 28–35.
Yang, C., H. Zhu, and X. Ren. 2014. “A profit distribution for the stakeholders involved in mineral resource development based on Shapley values.” Earth Environ. 5 (3): 424–429.
Zhu, P., and P. Tang. 2013. “Mechanism innovation on land benefit distribution in rural land expropriation: A case study of Jiangsu province.” J. Nanjing Agric. Univ. 13 (1): 66–72.
Zhu, Y., and Y. Cao. 2012. “Allocating land value increment from the perspective of land development right.” Econ. Geogr. 32 (10): 133–138.
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Published In
Journal of Urban Planning and Development
Volume 147 • Issue 4 • December 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Nov 5, 2020
Accepted: May 7, 2021
Published online: Jul 26, 2021
Published in print: Dec 1, 2021
Discussion open until: Dec 26, 2021
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