The failure of collaborative agglomeration: From the perspective of industrial pollution emission

Yang, Ran; Hu, Zhigao; Hu, Shihui

doi:10.1016/j.jclepro.2023.135952

Cited by 23 publications

(6 citation statements)

References 43 publications

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“…Among many influencing factors, the impact of industrial co-agglomeration on TCE cannot be ignored. However, scholars only have analyzed the impact of industrial co-agglomeration on industrial pollutant emission 44 , haze pollution 45 , environmental efficiency 46 and green development efficiency 15 . The effect of industrial co-agglomeration on TCE is rarely discussed.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of industrial collaborative agglomeration on total factor carbon emission efficiency in China

Yuan,

Liu,

et al. 2023

Sci Rep

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Improving total factor carbon emission efficiency (TCE) is the key to achieving carbon emission reduction targets while ensuring economic growth. In this paper, the global Malmquist index based on the SBM model is used to measure TCE of 283 cities in China from 2011 to 2019. On this basis, this paper uses the spatial econometric model and intermediary effect model to empirically analyze the impact of industrial co-agglomeration on TCE and its transmission mechanism. Furthermore, considering the differences in geographical location and resource endowment among regions, this paper analyzes the heterogeneous effect of industrial collaboration agglomeration on TCE in different regions and cities. The results show that: (1) Industrial co-agglomeration can improve TCE, and its main transmission channel is technological innovation. (2) Industrial co-agglomeration has a positive spatial spillover effect. Industrial co-agglomeration in one region can improve the TCE in the surrounding regions. (3) Industrial co-agglomeration of cities with different geographic locations and resource endowments has a heterogeneous effect on TCE. Regarding geographical heterogeneity, the industrial co-agglomeration in the eastern region has the greatest promoting effect on TCE, followed by the central region. However, the impact of industrial co-agglomeration in the western region on TCE is not significant. Regarding resource endowment heterogeneity, the industrial co-agglomeration in non-resource-based cities has a greater promoting effect on TCE than that in resource-based cities.

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Section: Literature Reviewmentioning

confidence: 99%

The impact of industrial collaborative agglomeration on total factor carbon emission efficiency in China

Yuan,

Liu,

et al. 2023

Sci Rep

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“…Moreover, the dominant congestion effect will also show up because of the limited environmental carrying capacity of industrial agglomeration areas. Hence, the nonlinear relationship between MI development and the ecological environment has gradually become the focus of related research [36]. For instance, the empirical study by Yuan et al (2022) pointed out that MI agglomeration would exert a non-linear influence on regional green development [37].…”

Section: The Impact Of the MI On Air Pollutionmentioning

confidence: 99%

Spatial Pattern Evolution of the Manufacturing Industry in the Yangtze River Economic Belt and Its Impact on PM2.5

et al. 2023

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Instead of being merely an important embodiment of regional productivity, the manufacturing industry also serves as a significant sector of economic operation and the supply chain system that is highly dependent on resources and the environment. Studying the spatial pattern of the manufacturing industry and its environmental effect is extremely significant for optimizing the spatial layout of urban industry, allocating production factors in a rational manner, and promoting the green transformation of industry. In this regard, this study aimed to further reveal the spatial pattern characteristics of the regional manufacturing industry and its impact on PM2.5. Using data from micro-enterprises in the manufacturing industry in the Yangtze River Economic Belt, its spatial pattern characteristics are explored and an econometric model is constructed to analyze the impact of the manufacturing industry on PM2.5 by comprehensively applying approaches including kernel density estimation, nearest proximity index, and Dagum Gini coefficient decomposition. Three research conclusions were drawn: (1) an obvious “core-edge” feature is present in the spatial distribution of the manufacturing industry in the studied area showing an apparent pattern of “high in the east and low in the west”. The core density of the manufacturing industry in the central cities is significantly higher than that in the surrounding cities. (2) In the manufacturing industry and its subdivisions, the characteristics of spatial agglomeration are unveiled, while the agglomeration and spatial differences are diminished during the study period for the spatial equilibrium of the manufacturing industry. (3) A significantly positive impact is exerted on PM2.5 pollution that is not limited to local cities by the manufacturing industry, which, due to the development differences within the study region, is also heterogeneous. In view of this, policy proposals for aspects such as forging a green manufacturing cluster area, establishing an industrial integration development platform, giving play to regional advantages and technological potential, etc., are put forward in this study, so as to provide a useful reference for optimizing the industrial pattern and promoting the green transformation of industries.

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“…Через развитие транспорта и энергетики возможна реализация комплексного подхода к социально-экономическому развитию агломераций. Строительство и реконструкция энергетической [10] и транспортной инфраструктуры [11] не должны причинять вред окружающей среде [12].…”

Section: результатыunclassified

Inter-Municipal Interaction in the Process of Metropolitan Agglomeration Development in the Russian Federation

Lisina,

Baev

2023

Bulletin of Kemerovo State University. Series: Humanities and Social Sciences

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The development of metropolitan agglomerations is an urgent issue in the Russian Federation because urban clusters depend on inter-municipal cooperation. The authors analyzed the existing models of inter-municipal cooperation to define the most relevant issues of metropolitan development. Since interaction models must comply with the federal legislation, an ideal form of inter-municipal cooperation does not exist. Subjects of the Russian Federation maintain associative, contractual, and economic cooperation, or a combination of these forms. Sustainable ecological and socio-economic growth of metropolitan agglomerations needs an effective governance arrangement. Inter-municipal cooperation is a legal tool that makes it possible to implement agglomeration projects, to combine financial and labor resources, to solve issues of territorial planning, etc. The form of inter-municipal interaction should be selected in line with the goals and objectives of a particular agglomeration in order to meet the standards of spatial development of the Russian Federation. Municipalities are limited in their autonomy and inter-municipal cooperation by imperative norms of the law. Therefore, inter-municipal cooperation in the sphere of metropolitan development must fully comply with legal regulations and prohibitions.

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The failure of collaborative agglomeration: From the perspective of industrial pollution emission

Cited by 23 publications

References 43 publications

The impact of industrial collaborative agglomeration on total factor carbon emission efficiency in China

The impact of industrial collaborative agglomeration on total factor carbon emission efficiency in China

Spatial Pattern Evolution of the Manufacturing Industry in the Yangtze River Economic Belt and Its Impact on PM2.5

Inter-Municipal Interaction in the Process of Metropolitan Agglomeration Development in the Russian Federation

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