Centralized versus Decentralized Cleanup of River Water Pollution: An Application to the Ganges

IF 0.6 Q4 ECONOMICS
Games Pub Date : 2023-10-07 DOI:10.3390/g14050066
Amitrajeet A. Batabyal, Hamid Beladi
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引用次数: 0

Abstract

We exploit the public good attributes of Ganges water pollution cleanup and theoretically analyze an aggregate economy of two cities—Kanpur and Varanasi—through which the Ganges flows. Our specific objective is to study whether water pollution cleanup in these two cities ought to be provided in a centralized or in a decentralized manner. We first determine the efficient cleanup amounts that maximize the aggregate surplus from making the Ganges cleaner in the two cities. Second, we compute the optimal amount of water pollution cleanup in the two cities in a decentralized regime in which spending on cleanup is financed by a uniform tax on the city residents. Third, we ascertain the optimal amount of water pollution cleanup in the two cities in a centralized regime subject to equal provision of cleanup and cost sharing. Fourth, we show that if the two cities have the same preference for pollution cleanup, then centralization is preferable to decentralization as long as there is a spillover from pollution cleanup. Finally, we show that if the two cities have dissimilar preferences for pollution cleanup, then centralization is preferable to decentralization as long as the spillover exceeds a certain threshold.
集中与分散的河流水污染清理:恒河的应用
我们利用了恒河水污染清理的公共产品属性,并从理论上分析了恒河流经的两个城市——坎普尔和瓦拉纳西的总经济。我们的具体目标是研究这两个城市的水污染清理工作是应该集中还是分散进行。我们首先确定有效的清理量,使两个城市的恒河变得更清洁,从而使总盈余最大化。其次,我们计算了两个城市在分散制度下的最优水污染清理量,在这种制度下,清理支出由城市居民的统一税收提供资金。第三,我们确定了两个城市在中央集权制度下的最优水污染清除率,且清除率提供和成本分担相等。第四,如果两个城市对污染清理的偏好相同,那么只要污染清理存在溢出效应,集中化优于分散化。最后,我们发现如果两个城市对污染清理的偏好不同,那么只要溢出超过一定的阈值,集中化比分散化更可取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Games
Games Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.60
自引率
11.10%
发文量
65
审稿时长
11 weeks
期刊介绍: Games (ISSN 2073-4336) is an international, peer-reviewed, quick-refereeing open access journal (free for readers), which provides an advanced forum for studies related to strategic interaction, game theory and its applications, and decision making. The aim is to provide an interdisciplinary forum for all behavioral sciences and related fields, including economics, psychology, political science, mathematics, computer science, and biology (including animal behavior). To guarantee a rapid refereeing and editorial process, Games follows standard publication practices in the natural sciences.
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