Racing to the bottom or the top? Strategic interaction of environmental protection expenditure among prefecture-level cities in China

冲向谷底 中国 争顶 自上而下和自下而上的设计 地方政府 环境治理 政府(语言学) 公司治理 业务 模仿 中央政府 公共经济学 计量经济模型 实证研究 经济 工程类 政治学 全球化 公共行政 财务 市场经济 语言学 计量经济学 哲学 软件工程 法学 激励 认识论 心理学 社会心理学
作者
Tingting Feng,Xianhua Wu,Jing Guo
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:384: 135565-135565 被引量:8
标识
DOI:10.1016/j.jclepro.2022.135565
摘要

Competition and cooperation in the environmental governance of cities are popular around the world. However, empirical research based on the prefecture-level city level in China is rare. Since the central government of China proposed to strengthen the construction of ecological civilization, whether there are strategic interactions of “race to the bottom” or “race to the top” among local governments is an important issue of academic and public interest. This paper constructs a game-theoretic model to reveal the strategic interactions of environmental governance among local governments. And then, based on the data of 221 prefecture-level cities collected from 2007 to 2018, the spatial econometric model is used to conduct multi-dimensional testing “race to the bottom” behavior of environmental protection expenditure among local governments. Moreover, this paper further analyses the impact of performance assessment indicators on the strategic interactions of local governments, so as to provide policy reference for improving environmental public welfare. Empirical results suggest that local governments in China show strategic imitation in environmental protection spending decisions, which is manifested as “race to the bottom”, and this behavior is gradually weakening with the strengthening of environmental protection assessment. Furthermore, environmental performance indicators relieve the government's strategic imitation, while economic performance indicators intensify the government's strategy imitation. Thus, reasonable performance evaluation indicators are conducive to benign strategic interaction among governments. Finally, the current environmental protection expenditure has not yet significantly affected pollution reduction, providing new evidence for the “race to the bottom” behavior of local governments. Based on the findings of our study, the central government should optimize the performance evaluation system of local officials and strengthen the implementation of the environmental supervision system and accountability mechanism. Meanwhile, the local governments should further increase environmental protection expenditure, and enhance the supervision and utilization efficiency of environmental protection funds.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
蟹黄堡bro完成签到,获得积分10
1秒前
wang发布了新的文献求助30
1秒前
迷路的雅霜完成签到,获得积分10
2秒前
2秒前
科研通AI6应助JJJJJJJJJJJ采纳,获得10
2秒前
丘比特应助飘逸的太阳采纳,获得10
2秒前
MAFAKETHS发布了新的文献求助10
3秒前
3秒前
初雪完成签到,获得积分10
4秒前
东方元语发布了新的文献求助20
4秒前
5秒前
5秒前
是哇哦发布了新的文献求助10
6秒前
科目三应助咕噜咕噜采纳,获得10
6秒前
chenchunlan96完成签到,获得积分10
6秒前
6秒前
7秒前
汉堡包应助LLLLLJJXX采纳,获得10
8秒前
wang完成签到,获得积分10
8秒前
xc发布了新的文献求助10
9秒前
刘星宇发布了新的文献求助30
10秒前
11秒前
PhD-SCAU发布了新的文献求助10
12秒前
13秒前
13秒前
乐乘发布了新的文献求助20
13秒前
量子星尘发布了新的文献求助10
14秒前
是哇哦完成签到,获得积分20
14秒前
田様应助sun采纳,获得10
14秒前
123发布了新的文献求助10
16秒前
今后应助pppppppppppppppp采纳,获得10
16秒前
aaa4完成签到,获得积分10
17秒前
天天快乐应助科研通管家采纳,获得10
17秒前
科研通AI2S应助科研通管家采纳,获得10
17秒前
彭于晏应助科研通管家采纳,获得20
17秒前
浮游应助科研通管家采纳,获得10
17秒前
Orange应助科研通管家采纳,获得10
17秒前
科研通AI2S应助科研通管家采纳,获得10
17秒前
Akim应助科研通管家采纳,获得30
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exosomes Pipeline Insight, 2025 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5649626
求助须知:如何正确求助?哪些是违规求助? 4778871
关于积分的说明 15049592
捐赠科研通 4808672
什么是DOI,文献DOI怎么找? 2571696
邀请新用户注册赠送积分活动 1528088
关于科研通互助平台的介绍 1486851