在中国公共危机下的多层次协作治理的进化游戏分析:从价值感知角度来看
Yingxin Chen1, Xin Liu1, Pandu R Tadikamalla2
1School of Economics and Management, Harbin Engineering University, Harbin, China.
概括
公共参与协作治理 (CG) 对应急管理至关重要. 这项研究使用一种进化游戏模型来展示价值感知如何影响利益相关者在应对危机时的行为,从而提高CG的有效性.
科学领域:
- 危机管理 危机管理
- 游戏理论 游戏理论
- 行为经济学是一种行为经济学.
背景情况:
- 公众参与协作治理 (CG) 对现代紧急管理系统至关重要.
- 现有的CG研究主要集中在宏观层面的策略上,忽视了微观层面的利益相关者行为.
- 需要一种价值感知方法来理解多层次紧急CG的动态.
研究的目的:
- 构建一个进化游戏模型,分析多层次紧急情况的进化机制CG.
- 将前景理论和心理会计集成到价值感知模型中,以优化游戏矩阵.
- 调查价值观对应急协作治理中利益相关者的行为的影响.
主要方法:
- 基于前景理论和心理会计学的价值感知模型的开发.
- 分析进化稳定性以确定系统进化规律.
- 数字模拟使用来自中国黑龙江省的数据.
主要成果:
- CG游戏系统呈现出复杂的进化路径.
- 感知到的收入和成本显著影响游戏玩家的行为.
- 利益相关者对成本账户的风险回避表现出比收益账户更大的敏感性.
- 提高公众的感知满意度和政府的声誉有助于长期的CG发展.
结论:
- 价值感知是有效实施紧急协作治理的关键因素.
- 了解利益相关者的价值观,为在中国和全球推进CG提供了新的见解.
- 这项研究为紧急CG提供了微观水平的行为策略框架.
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