考虑信息搜索的环境污染群体性事件最优决策模型

doi:10.16381/j.cnki.issn1003-207x.2019.1785

摘要/Abstract

摘要： 坚决打好污染防治攻坚战是建设全面小康社会三大任务之一，环境污染群体性事件影响社会稳定和生态文明建设。在当今信息渠道多元化的自媒体时代下，群众能够通过信息搜索行为为决策获取信息。本文考虑了群众信息搜索行为，构建周边居民信息搜索的环境污染群体性事件最优决策模型，分析了不同条件下均衡策略选择，以及在各种地方政府补贴水平和暗箱操作程度下，周边居民的收益变化情况和策略选择差异。结果表明：当政府的暗箱操作程度较低时，群众的最优化策略为信息搜索后“污染轻微”则“抗议”，否则群众的最优化策略为直接抗议。当群众对项目污染程度为严重的先验概率较低且政府的暗箱操作程度比较高时，群众将选择不抗议策略。当周边居民的识别能力较差，群众将会选择策略信息搜索后“污染轻微”则“不抗议”，当暗箱操作程度足够大时，群众将会选择策略直接抗议。随着地方政府提供补贴水平的增加，群众的抗议强度减弱。了解群众的最优决策，有利于政府对环境群体性事件进行防范和应对，维护社会稳定。

关键词: 环境污染；群体性突发事件；决策模型；信息搜索

Abstract: With the advent of “user-operated media” era, how governments deal with the social crisis is a serious challenge. Environmental pollution group event is a prominent type of social crisis, generally known as “Not-In-My-Back-Yard”. As the information dominant party, the government fully understands the possible impact of the project on the local residents, but maybe block the key information for the implementation, which can lead to serious information asymmetry. Once the information is leaked, the environmental group events will break out likely. With the rapid development of information technology, especially the rise of user-operated-media communication, information channels become increasingly diversified. Facing the information asymmetry, the local residents can be easy to search, browse and acquire relevant knowledge. The search results will have an important impact on the occurrence and development of environmental group events.

Key words: environmental pollution; group events; decision-making model; information search

中图分类号:

C934

刘德海, 赵悦, 张旭. 考虑信息搜索的环境污染群体性事件最优决策模型[J]. 中国管理科学, 2022, 30(8): 1-11.

LIU De-hai, ZHAO Yue, ZHANG Xu. Optimal Decision-making Model of Environmental Pollution Group Events Considering Information Search[J]. Chinese Journal of Management Science, 2022, 30(8): 1-11.

参考文献

［1］罗成琳,李向阳.突发性群体事件及其演化机理分析［J］.中国软科学,2009(6):163-171.Luo Chenglin, Li Xiangyang. Analysis on mass emergency and its evolutive mechanism［J］. China Soft Science, 2009(6):163-171.
［2］张萍,杨祖婵.近十年来我国环境群体性事件的特征简析［J］.中国地质大学学报(社会科学版),2015,15(2):53-61.Zhang Ping, Yang Zuchan. Brief analysis on the characteristics of environmental mass incidents in China in recent ten uears［J］. Journal of China university of geosciences (social sciences edition), 2015, 15(2):53-61.
［3］ Horst D V D. NIMBY or not? Exploring the relevance of location and the politics of voiced opinions in renewable［J］.Energy Policy, 2007(35):2705-2714.
［4］刘德海,王维国.维权型群体性突发事件社会网络结构与策略的协同演化机制［J］.中国管理科学,2012,20(3):185-192.Liu Dehai, Wang Weiguo. Co-evolutionary mechanism of social network structure and strategy in mass emergency with maintain legal rights［J］. Chinese Journal of Management Science, 2012,20(3):185-192.
［5］刘德海,陈静锋.环境群体性事件“信息-权利”协同演化的仿真分析［J］.系统工程理论与实践, 2014,34(12):3157-3166.Liu Dehai, Chen Jingfeng. Information-right co-evolutionary simulation analysis of mass emergency derived from environmental pollution［J］. Systems Engineering-Theory & Practice, 2014,34(12):3157-3166.
［6］马得勇,孙梦欣.新媒体时代政府公信力的决定因素——透明性、回应性抑或公关技巧?［J］.公共管理学报,2014,11(1):104-113.Ma Deyong, Sun Mengxin. Exploring the determinants of public trust in Chinese local governments in the new media age: Transparency, responsiveness or public relations?［J］. Journal of Public Management, 2014,11(1):104-113.
［7］ Mckenzie P J. A model of information practices in accounts of everyday-life information seeking［J］. Journal of documentation, 2003, 59(1): 19-40.
［8］张敏,聂瑞,罗梅芬.健康素养对用户健康信息在线搜索行为的影响分析［J］.图书情报工作, 2016,60(7):103-109.Zhang Min, Nie Rui, Luo Meifen. Analysis on the effect of health literacy on users’ online health information seeking behavior［J］. Library and Information Service, 2016,60(7):103-109.
［9］邓喆,孟庆国.自媒体的议程设置:公共政策形成的新路径［J］.公共管理学报, 2016, 13(2): 14-22.Deng Zhe, Meng Qingguo. We-Media agenda setting:A new path to formation of public policy［J］. Journal of Public Management, 2016, 13(2): 14-22.
［10］邓滢,汪明.网络新媒体时代的舆情风险特征——以雾霾天气的社会涟漪效应为例［J］.中国软科学, 2014(8):61-69.Deng Ying, Wang Ming. Characteristics of public sentiment on risk in the era of new media——a case study of the social ripple effect of foggy weather［J］. China Soft Science, 2014(8):61-69.
［11］汪伟全.风险放大、集体行动和政策博弈——环境类群体事件暴力抗争的演化路径研究［J］.公共管理学报,2015,12(1):127-136.Wang Weiquan. Risk amplification, collective action and policy game: A descriptive analysis about environmental groups struggle violence［J］. Journal of Public Management, 2015,12(1):127-136.
［12］朱建明. 损毁情景下的应急设施选址多目标决策方法. 系统工程理论与实践, 2015, 3(3): 720-727.Zhu Jianming. Methods of multi-objective decision-making for emergency facility location problem under failure scenario［J］. Systems Engineering-Theory & Practice, 2015, 3(3): 720-727.
［13］刘德海,赵宁,邹华伟.环境污染群体性事件政府应急策略的多周期声誉效应模型［J］.管理评论,2018,30(9):239-245.Liu Dehai, Zhao Ning, Zou Huawei. Multi-period reputation effect model of governmental emergency strategy in environmental pollution incidents［J］. Management Review, 2018,30(9):239-245.
［14］荣婷,谢耘耕.环境群体性事件的发生、传播与应对——基于2003～2014年150起中国重大环境群体事件的实证分析［J］.新闻记者, 2015(6): 72-79.Rong Ting, Xie Yungeng. Occurrence, dissemination and response of environmental mass incidents: An empirical analysis based on 150 major environmental mass incidents in China from 2003 to 2014［J］. Journalism Review, 2015(6): 72-79.
［15］郑君君,闫龙,张好雨,等. 基于演化博弈和优化理论的环境污染群体性事件处置机制［J］.中国管理科学, 2015,23(8):168-176.Zheng Junjun, Yan Long, Zhang Haoyu, et al. Disposal mechanism of environmental pollutionMass incidents based on evolutionary game and optimization theory［J］. Chinese Journal of Management Science, 2015,23(8):168-176.
［16］ Zhu Jianming, Liu Shuyue, Ghosh S. Model and algorithm of routes planning for emergency relief distribution in disaster management with disaster information update［J］. Journal of Combinatorial Optimization, 2019,38(1):208-223.
［17］王治莹,李勇建. 政府干预下突发事件舆情传播规律与控制决策［J］.管理科学学报, 2017, 20(2): 43-52.Wang Zhiying, Li Yongjian. Propagation law and coping strategies for public opinions in emergency with the consideration of the government intervention［J］. Journal of Management Sciences in China, 2017, 20(2): 43-52.
［18］樊治平,刘洋,沈荣鉴. 基于前景理论的突发事件应急响应的风险决策方法［J］. 系统工程理论与实践, 2012,32(5):977-984.Fan Zhiping, Liu Yang, Shen Rongjian. Risk decision analysis method for emergency response based on prospect theory［J］. Systems Engineering-Theory & Practice, 2012, 32(5): 977-984.
［19］ André B S R, Gabriel M S.Environmental policy regulation and corporate compliance in evolutionary game models with well-mixed and structured populations［J］.European Journal of Operational Research, 2019 (279): 486-501.
［20］沈焱,邹华伟,刘德海,等. 经济补偿与部署警力:环境污染群体性事件应急处置的优化模型［J］. 管理评论, 2016,28(8):51-58.Shen Yan, Zou Huawei, Liu Dehai, et al. Economic compensation or police deployment: Optimization model of emergency management in environmental pollution mass event［J］. Management Review, 2016,28(8):51-58.
［21］ Spence M. Job Market Signaling［J］. Quarterly Journal of Economics, 1971, 87(3):355-374.
［22］尔古打机,寇纲,杜义飞.不完全信息下非常规突发事件应急决策缺失数据处理模型［J］.系统工程理论与实践,2015,35(3):702-713.Ergu Daji, Kou Gang, Du Yifei. Missing data processing model for unconventional emergency decision-making under incomplete information［J］. Systems Engineering-Theory & Practice, 2015,35(3):702-713.
［23］谢伟,孙绍荣.基于信号博弈的大气污染防治机制研究［J］.资源开发与市场, 2015, 31(11): 1311-1313.Xie Wei, Sun Shaorong. Mechanism of prevention and control of atmospheric pollution based on signaling game［J］. Resource Development & Market, 2015, 31(11): 1311-1313.
［24］ Xu Jie, Zhuang Jun. Modeling costly learning and counter-learning in a defender-attacker game with private defender information［J］. Annals of Operations Research, 2016, 236(1):271-289.
［25］刘振华.环境群体性事件治理的研究背景与价值［J］.北京警察学院学报, 2019(3):33-37.Liu Zhenhua. The research background and value of environmental group incidents management［J］. Journal of Beijing Police College, 2019(3):33-37.
［26］王刚桥,刘奕,杨盼,等. 面向突发事件的复杂系统应急决策方法研究［J］.系统工程理论与实践,2015,35(10):2449-2458.Wang Gangqiao, Liu Yi, Yang Pan, et al. Study on decision-making method for complex crisis［J］. Systems Engineering-Theory & Practice, 2015,35(10):2449-2458.

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