Game analysis of incremental income allocation in the marketization of rural collectively-owned commercial construction land under fairness preference

Zou, Ye; Yan, Lei; Zhang, Yanwei

doi:10.1016/j.strueco.2023.02.001

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…However, new population prediction is fairly flexible [14], and the new urban land per capita was set by the central government [15], lacking pertinence for different regions. In rapid urbanization, more quota of new urban land implies more development opportunities [16,17]. Therefore, the government may try to adjust the new predicted population to obtain more quota of new urban land.…”

Section: Introductionmentioning

confidence: 99%

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Zhu

Liu

et al. 2023

Land

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Previous allocations of new urban land were ineffective because they lacked synergy between quota and space, challenging the government planning authority. This study proposes a new and more reasonable urban land allocation method to guide the smart growth of cities. We used a logistic regression model and multisource data to explore the laws of urban growth and employed a cellular automata (CA) model to simulate this under inertial and constrained scenarios. In addition, the disparities between both scenarios concerning allocation were analyzed. We realized the synergy of quota and space allocations of new urban land through urban growth simulation. Further, the allocation of new urban land was more consistent with the development strategy of Guangzhou under a constrained scenario. The allocation of space was more regular and concentrated under a constrained scenario, which aligns with the requirements of the Government Land Space Planning. Additionally, in the constrained scenario, the bottom lines of cultivated land protection, ecological service, and geological safety were better controlled. This study compensated for the shortcomings of the disjoined quota and space allocations of new urban land and proved that a constrained scenario can more effectively promote reasonable urban growth.

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Section: Introductionmentioning

confidence: 99%

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Zhu

Liu

et al. 2023

Land

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“…Based on the F-S theory, Zou et al [37] established a fairness preference model to elucidate the impact of fairness preferences on profit sharing, extending the profit-sharing theoretical model of the marketization of rural collectively owned commercial construction land. Lu et al [38] developed an improved profit-sharing model for a two-level supply chain consisting of a Logistics Service Integrator (LSI) and several Functional Logistics Service Providers (FLSP). They discussed the impacts of inequity aversion and the number of members with inequity aversion to profit sharing.…”

Section: Introductionmentioning

confidence: 99%

Research on Profit-Sharing Mechanism of IPD Projects Considering Multidimensional Fairness Preferences and BIM

Wang,

Tao,

et al. 2023

Systems

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The integration of building information modeling (BIM) and the integrated project delivery (IPD) mode effectively promotes collaboration among project members and enhances project profitability. However, the issue of profit sharing significantly impacts the successful implementation of IPD projects. To enhance the profit-sharing mechanism of IPD projects and ensure their smooth implementation, a game analysis model of profit sharing in IPD projects was established based on the Stackelberg game theory, taking into account the multidimensional fair preferences of the participants and the application of BIM technology. Through simulation, the impact of various parameters of participants on output utility, total revenue, and sharing coefficient in IPD projects was analyzed. The results show that: (1) participants achieve their highest output utility and total revenue under vertical–horizontal fairness preferences; (2) under vertical fairness preferences, the profit sharing coefficient is the highest, while the output utility and total revenue are the lowest; (3) although the output utility and total revenue of participants under horizontal fairness preferences exceed those under neutral fairness preferences, the profit-sharing coefficient is lower; (4) the output utility, the total revenue, and the profit-sharing coefficient of the participants all increase with the increase in effort utility value and decrease with the increase in the effort cost coefficient and the risk avoidance coefficient. The research findings provide valuable theoretical support for the profit sharing of IPD projects, thereby further promoting the advancement and implementation of the IPD model.

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Land supply patterns and the Chinese low consumption puzzle

Cheng,

Zhao,

Dai

et al. 2024

Structural Change and Economic Dynamics

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Game analysis of incremental income allocation in the marketization of rural collectively-owned commercial construction land under fairness preference

Cited by 4 publications

References 38 publications

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Research on Profit-Sharing Mechanism of IPD Projects Considering Multidimensional Fairness Preferences and BIM

Land supply patterns and the Chinese low consumption puzzle

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