Fair shares? Advancing land economics through cooperative game theory

Gu, Yiquan; Lord, Alexander; Eika, Anders; Dethier, Perrine; Samsura, D. Ary A.; Nordahl, Berit; Sommervoll, Dag Einar; Krabben, Erwin van der; Halleux, Jean-Marie

doi:10.1016/j.landusepol.2021.105400

Cited by 5 publications

(8 citation statements)

References 53 publications

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“…In this thesis, we chose an institutional approach because it is more relevant for our study on stakeholder relations and perceptions of Land Value Capture. We agree that a gaming approach has an advantage in predictively simulating possibilities (Gu et al 2021;Wang, Samsura, and van der Krabben 2020). Nonetheless, it is less relevant for our explorative analysis which targets institutional land arrangements which evolve from an administrative focus towards market dominance.…”

Section: Research Approachsupporting

confidence: 58%

Uncovering Land Value Capture

Wang¹

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Section: Research Approachsupporting

confidence: 58%

Uncovering Land Value Capture

Wang¹

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“…Cooperative game theory is about examining the conditions under which some form of cooperative action might be necessary, and the outcomes that might result. Therefore, there is a clear point of contact between the goals of cooperative game theory and the specifics of land policy [37].…”

Section: Why Game Theory?mentioning

confidence: 99%

“…In recent research, optimization algorithms social choice rules (SCRs) and fallback bargaining (FB) models of game theory have been further addressed. In this field, the most commonly used approach is that of employing cooperative algorithms [9,33,37,38]. For example, [9] demonstrates that game theory could help us to identify the key strategic decisions of land and property development projects by showing the different payoffs for stakeholders of their chosen strategies and selecting the equilibrium in which all stakeholders involved are best off; [33] develops a new analytic framework from a behavioral perspective based on game theory.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Politics of Conflict over Physical-Industrial Development Using a Technique of Cooperative Game Theory in Iran

2021

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One of the most important parameters for economic growth is industrial development in many developing regions like Iran. The Markazi province in the center of Iran is one of the most important industrial areas in the country, where unplanned economic development in recent decades has led to many social and environmental problems. Accordingly, the main organizations involved in industrial development in this region are facing difficulties in the future development of industrial areas, which has become a complex problem. Therefore, the main purpose of this paper is to study the industrial development dispute in the Markazi province through a cooperative model of game theory in order to achieve conflict resolution through a comprehensive approach. In this research, the conflict has been analyzed through strategic analysis of stakeholders. For this purpose, a model of cooperative game theory and its bargaining analysis methods, including social choice rules (SCRs) and fallback bargaining (FB), and six available options were used. According to the six SCRs, the most likely option that can exist between the Department of the Environment (DOE) and the Industrial and Mining Organization (IMO) is compromise coordination (C). In addition, the results of the Fallback Bargaining (FB) rule in three different forms show that the most appropriate options for agreement between the IMO and DOE are the moderate version of construction through arbitration (TCa) and compromise coordination (C). In fact, the results indicate that if the actors involved in this conflict do not cooperate to resolve it, it can lead to more complex problems and the involvement of other groups who may not even have a proper perception of the conflict. In addition, the findings show that cooperation between the parties and understanding of their positions and views along with the policy coherence are necessary to strive for sustainable development and maintain economic growth and development.

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“…However, in principle, such competitions are mainly con icts of interest between several stakeholders (Zhang Li and Fung 2012). Regarding land use management and optimization, selecting a suitable alternative from the set of available options is a challenging task (Lund and Palmer 1997;Gu et al 2021) since criteria are contradictory and hardly reconcilable, and any decision can cause objection from one or multiple parties, who think their interests are neglected (Lee and Chang 2005) and it is often di cult to satisfy all stakeholders with different interests, values and perspectives (Shields et al 1999;Collins and Kumral 2020). Considering land use challenges, the contradiction between the economic bene ts of land use development (e.g.…”

Section: Introductionmentioning

confidence: 99%

Developing an integrated land allocation model based on linear programming and game theory

Hasti

Salmanmahiny

Rouhi

et al. 2023

Environ Monit Assess

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Land use con guration in any given landscape is the result of a multi-objective optimization process, which takes into account different ecological, economic and social factors. In this process, coordinating stakeholders is a key factor to successful spatial land use optimization. Stakeholders need to be modeled as players who have the ability to interact with each other towards their best solution, while considering multiple goals and constraints at the same time. Game theory provides a tool for land use planners to model and analyze such interactions. In order to apply the spatial allocation model and address stakeholder con icts, an integrated model based on linear programming and game theory was designed in the present study. For implementing such model, we conducted an optimal land use allocation process through multi-objective land allocation (MOLA) and linear programming methods. Then, two groups of environmental and land development players were considered to implement the optimization model. The game algorithm was used to select the appropriate constraint so that the result was acceptable to all stakeholders. The results showed that in the third round of the game, the decision-making process and the optimization of land uses reached the desired Nash Equilibrium state and the con ict between stakeholders was resolved. Ultimately, in order to localize the results, a suitable solution was presented in GIS environment.

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Fair shares? Advancing land economics through cooperative game theory

Cited by 5 publications

References 53 publications

Uncovering Land Value Capture

Uncovering Land Value Capture

Optimal Politics of Conflict over Physical-Industrial Development Using a Technique of Cooperative Game Theory in Iran

Developing an integrated land allocation model based on linear programming and game theory

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