| Title | Advancing nuanced pollution control: Local improvements and spatial spillovers of policies on key enterprises |
|---|---|
| ID_Doc | 66437 |
| Authors | Liu, D; Li, X; Shi, HJ; Chen, Z |
| Title | Advancing nuanced pollution control: Local improvements and spatial spillovers of policies on key enterprises |
| Year | 2024 |
| Published | |
| Abstract | This paper examines the impact of air pollution control policies targeting key polluting enterprises, highlighting a strategic shift towards precision pollution control that concentrates on high-emission, high-risk businesses. The paper explores the efficacy of these policies and their potential spatial spillover effects, utilizing panel data from 259 Chinese cities from 2013 to 2021. Employing the difference-in-differences (DID) model and spatial Durbin model, the study analyzes both the direct local effects and the broader spatial consequences of these regulatory measures on air quality. The findings indicate a significant reduction in air pollutant concentrations in urban areas, attributing this improvement to factors such as industrial restructuring, increased investment in science and technology, and economic growth. Spatial econometric analysis further reveals a substantial positive correlation in air quality among Chinese cities. However, estimates of the spillover effect indicate that while such policies successfully reduce pollution locally, they could unintentionally degrade air quality in adjacent areas. The study highlights the need for nuanced policy strategies to mitigate unintended spatial spillovers and enhance overall effectiveness. It recommends tailored policies that integrate environmental and socioeconomic objectives, national and regional coordination for consistent enforcement, technology-driven compliance strategies, and incentives for sustainable enterprise practices. |
Similar Articles
| ID | Score | Article |
|---|---|---|
37877
|
Luo, WH; Yang, PL; Zhu, ZN; Ying, FW; Lin, ZH Promoting Cleaner Industry: Assessing the Impact of Smart City Pilot Policies in China within the Context of Knowledge-Based Economic Dynamics(2024) | |
| 32344
|
Yin, LH; Wu, CQ Promotion incentives and air pollution: From the political promotion tournament to the environment tournament(2022) | |
| 32596
|
Wang, SY; Ma, L Does new energy demonstration city policy curb air pollution? Evidence from Chinese cities(2024) | |
| 33744
|
Lou, BL; Xie, BW; Liu, P; Zhu, MZ; Xu, WZ Evaluating the impact of free trade zone construction on urban air pollution in China-Empirical evidence from a spatial differences-in-differences approach(2023) | |
| 36560
|
Feng, YC; Hu, SL The Effect of Smart City Policy on Urban Haze Pollution in China: Empirical Evidence from a Quasi-Natural Experiment(2022)Polish Journal Of Environmental Studies, 31, 3 | |
| 33667
|
Li, ZH; Bai, TT; Tang, C How does the low-carbon city pilot policy affect the synergistic governance efficiency of carbon and smog? Quasi-experimental evidence from China(2022) | |
| 37638
|
Shen, Q; Wu, R; Pan, YX; Feng, YC The effectiveness of smart city policy on pollution reduction in China: new evidence from a quasi-natural experiment(2023)Environmental Science And Pollution Research, 30.0, 18 | |
| 18147
|
Bao, F; Zhao, ZZ; Dong, L Government land control approach, industrial agglomeration, and urban air quality: Analysis based on spatial spillovers and threshold effects(2023) | |
| 33393
|
Shao, S; Cheng, SL; Jia, RN Can low carbon policies achieve collaborative governance of air pollution? Evidence from China's carbon emissions trading scheme pilot policy(2023) | |
| 33017
|
Du, KR; Wang, LJ; Xie, LM; Lin, BQ Assessing the impact of environmental regulations on environmental performance in Chinese cities: A spatial Stochastic Frontier Model with endogeneity analysis(2024) |