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博士生柳东发表论文,聚焦精准治污新策略
发布者: 李霄 | 2024-03-18 | 4391

精准治污新策略:重点单位环境监管影响下的空气质量改善与挑战

论文深入探讨了针对高排放、高风险污染源的大气污染控制政策及其对空气质量的影响,突显了向精准治理模式转变对于我国持续深入推进污染防治攻坚的重要作用。通过分析2013至2021年间259个城市的面板数据,并采用双重差分模型与空间杜宾模型,论文详尽评估了相关政策在地方层面的直接效应以及其对邻近地区空气质量的广泛影响。研究结果表明,相关政策有效降低了城市的空气污染物浓度,其成功归因于产业结构优化、科技投入增加和经济持续增长等多重因素。通过空间计量经济学的方法,进一步证实了城市间空气质量的正相关性。不过,这些政策的空间溢出效应分析显示,虽然本地污染得到了有效控制,却可能间接加剧了邻近地区的空气质量问题。

鉴于此,研究强调了制定更为精细化和针对性策略的重要性,这样的策略能够减少意外的空间溢出效应,并提升政策的整体效能。为此,论文提出了几项建议:(1)根据不同地区的具体实际,制订既考虑环境保护又兼顾社会经济发展目标的定制化政策;(2)加强国家与地方之间的协作,确保政策执行的一致性;(3)采取科技驱动的合规策略,提升治理效率;(4)为促进企业的可持续性实践提供必要的激励措施。

本研究不仅为评估精准治污政策的有效性提供了实证基础,而且通过揭示相关政策的空间溢出效应,突显了环境治理的复杂性以及在治理过程中考虑地理要素和区域间互动的必要性,为制定和实施更为高效的环境政策提供了有价值参考。

 

Advancing nuanced pollution control: Local improvements and spatial spillovers of policies on key enterprises

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.

 

Liu, D.,  Li, X., Shi, H., & Chen, Z. (2024). Advancing nuanced pollution control: Local improvements and spatial spillovers of policies on key enterprises. Journal of Environmental Management, 356, 120533. https://doi.org/10.1016/j.jenvman.2024.120533

论文链接https://authors.elsevier.com/a/1il%7ES_6sjVBuM7