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Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.37043/JURA.2017.9.2.6

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Cooperative game theory approach to establishing a landscape agreement

[journal article]

Shimamoto, Kenichi

Abstract

As the need for a participatory approach towards a sustainable landscape development grows, this paper has applied the cooperative game theory to analyse the mechanism of entering a landscape agreement which requires the participation and initiative of local residents and stakeholders. The result... view more

As the need for a participatory approach towards a sustainable landscape development grows, this paper has applied the cooperative game theory to analyse the mechanism of entering a landscape agreement which requires the participation and initiative of local residents and stakeholders. The results confirmed that a landscape agreement only becomes possible with a certain level of supporters and the optimal situation is when all participants agree. Moreover, the possibility of free riders, which would prevent reaching a universal agreement, was also confirmed. The effect of government subsidies for landscape considerate building and the enforcement of penalties for building without were also examined. As a result, we learned that subsidies and the enforcement of penalties influences the number of supporters required for the landscape agreement and in preventing free riders.... view less

Keywords
penalty; subsidy; landscape planning

Classification
Area Development Planning, Regional Research

Free Keywords
landscape agreement; free rider

Document language
English

Publication Year
2017

Page/Pages
p. 187-196

Journal
Journal of Urban and Regional Analysis, 9 (2017) 2

ISSN
2067-4082

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution-NonCommercial 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.