Study on the Impact of Collaborative Agglomeration of Manufacturing and Producer Services on PM2.5 Pollution

Evidence from Urban Agglomerations in the Middle Reaches of the Yangtze River in China

Datos Bibliográficos

ID17801002
AutoresLei Gao (0000-0002-8961-1734, Yanshan University), Jingran Zhang (0000-0002-4743-9673, Beijing Forestry University, autor de correspondencia), Yu Tian (0000-0002-2744-2226, Jilin University, autor de correspondencia), Xinyu Liu (0000-0001-5087-3385, Yanshan University), Shuxin Guan (Yanshan University), Yuhong Wu (0009-0001-5822-9882, Yanshan University)
Año2023
Volumen20
Número4
Páginas3216-3216
Fecha de publicación2023-02-12
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20043216
PMID36833911
OpenAlexW4320493971
IdiomaEN
Citas recibidas2
Referencias citadas31

In this paper, using panel data of 28 cities in the middle reaches of the Yangtze River from 2003 to 2020 as the research sample, we built a dynamic spatial Durbin model based on the STIRPAT (stochastic impacts by regression on population, affluence, and technology) model and conducted an empirical study on the impact of the coordinated agglomeration of manufacturing and producer services on particulate matter (PM) 2.5 pollution. The results show a significant positive spatial spillover effect of PM 2.5 pollution in the middle reaches of the Yangtze River. The coordinated agglomeration of manufacturing and producer services in the urban agglomerations there is conducive to reducing PM 2.5 pollution. Similar to the inverted-U curve of the classic environmental Kuznets curve hypothesis, there is a significant inverted-U curve relationship between PM 2.5 pollution and economic growth in urban agglomerations in the middle reaches of the Yangtze River. The proportion of coal consumption, the proportion of secondary industry, and the urbanization level are significantly and positively correlated with PM 2.5 pollution in urban agglomerations in this area. Technological innovation, environmental regulation, and annual average humidity play an important role in addressing the PM 2.5 pollution and spatial spillover effect. Industrial structure and technological innovation are the main ways for the coordinated agglomeration of manufacturing and producer services to affect PM 2.5 . The research conclusion can be of great practical significance to optimize the regional industrial layout, control PM 2.5 pollution, and establish a sustainable development policy system in the middle reaches of the Yangtze River in China

Business · China · Economic geography · Economic growth · Economics · Economies of agglomeration · Environmental pollution · Environmental protection · Geography · Kuznets Curve · Manufacturing · Natural resource economics · Panel data · Population · Spillover effect · Sustainable development · Urban agglomeration · Urbanization · Yangtze river · Air Quality and Health Impacts · Energy, Environment, Economic Growth · Environmental Science · Urban Transport and Accessibility · Pollution