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A game theoretic approach to optimize multi-stakeholder utilities for land acquisition negotiations with informality

机译:一种博弈论方法,以非正式方式优化多方利益相关者的土地收购谈判

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摘要

To combat the critical stresses of rising urbanization, the government acquires land from private owners using the power of eminent domain. This land assembly causes negative externalities such as increasing social tension and injustice that may impose a long-term threat to stability and sustainable development. Therefore, there is a need to make the land acquisition process more transparent and just. Considering the unique Indian context where informality has a strong presence, we propose an approach based on game theory that models the bargain through a three-stage Nash equilibrium game. Four agents - the government, the private developer, the landowner, and the free rider - are considered. We provide conditional solutions for the generalizable Case and proceed to model different stakeholder behavior patterns through two utility functional forms - linear and exponential. In the linear case, we find that the free rider obtains half of the revenue of the project, whereas the landowner gains between one-fourth and one-half of the revenue. Thus, we highlight the undeniably crucial role free riders play in land acquisition negotiations. However, closed form solutions cannot be obtained for the exponential form, due to which we use simulations to demonstrate a solution procedure. We conclude by stating that the proposed model can be useful in formulating future land policies in a sustainable and inclusive manner, with optimal utility derivations for all concerned stakeholders. Our model can also be extended to other spatial contexts where informality features heavily in the land market, especially in the Global South.
机译:为了应对不断上升的城市化进程带来的重大压力,政府利用着名领地的力量从私人所有者那里获得了土地。这种土地集会造成负面的外部影响,例如日益加剧的社会紧张局势和不公正现象,这可能对稳定和可持续发展构成长期威胁。因此,有必要使土地征收过程更加透明和公正。考虑到非正式性在印度所处的独特地位,我们提出了一种基于博弈论的方法,该方法通过三阶段纳什均衡博弈对交易进行建模。考虑了四个代理人-政府,私人开发商,土地所有者和搭便车者。我们为可推广的案例提供了有条件的解决方案,并通过两种实用函数形式(线性和指数形式)对不同的利益相关者行为模式进行建模。在线性情况下,我们发现搭便车者获得了项目收入的一半,而土地所有者获得了收入的四分之一到二分之一。因此,我们着重强调了搭便车者在征地谈判中发挥的不可否认的关键作用。但是,由于无法使用指数形式获得封闭形式的解,因此我们使用模拟来演示求解过程。最后,我们指出,提出的模型可以以可持续和包容的方式用于制定未来的土地政策,并为所有利益相关者提供最佳的效用。我们的模型还可以扩展到土地市场(尤其是南半球)中非正式性非常重要的其他空间环境。

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