Investigating the mechanisms among industrial agglomeration, environmental pollution and sustainable industrial efficiency: a case study in China

Ren, Yi; Tian, Yuan; Zhang, Chengqiu

doi:10.1007/s10668-021-01971-3

Cited by 11 publications

(5 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The eastern region's higher urbanization rate has contributed to its relatively higher economic and social development. However, from 2015 to 2021, the aging population issue worsened, particularly in the eastern region, due to declining fertility rates and increasing life expectancy 48 . Population mobility remains high in the western region, driven by disparities in economic development between the western and eastern coastal areas 49 .…”

Section: Research Resultsmentioning

confidence: 99%

Research on the relationship between population distribution pattern and urban industrial facility agglomeration in China

Zeng,

Zong

2023

Sci Rep

View full text Add to dashboard Cite

Investigating the impact of industrial facility agglomeration on population distribution provides valuable insights for advancing urban and regional development, as well as aiding in planning, forecasting, and achieving regional equilibrium. However, there remains a notable gap in understanding the influence and mechanisms of industrial facility agglomeration on population distribution, particularly when considering different industry types and diverse regions comprehensively. Additionally, conventional panel data used to assess industrial facility agglomeration are constrained by limitations in coverage and timeliness. In contrast, Point of Interest (POI) data offers a superior solution with its real-time, fine-grained, and innovative advantages. This study utilizes real-time and fine-grained POI data in conjunction with the LandScan population raster dataset to precisely assess industrial facility agglomeration in 352 administrative units at the prefecture level and above in China. The key findings of this research can be summarized as follows: (1) factors influencing urban population growth rates have evolved, with increased significance attributed to Government Agencies and Social Groups, alongside a consistent impact from Science, Education, and Cultural Services. (2) The correlation between industrial facility agglomerations and population growth rates displayed linear relationships in 2015 and 2021, with varying strengths and directional shifts. (3) Regional disparities in industrial facility agglomeration patterns underscore the necessity for customized strategies to optimize industrial structures, foster innovation-driven sectors, and promote sustainable population growth.

show abstract

Section: Research Resultsmentioning

confidence: 99%

Research on the relationship between population distribution pattern and urban industrial facility agglomeration in China

Zeng,

Zong

2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Second, industrial agglomeration increases carbon emissions and intensifies environmental pollution 33 , 34 . While industrial agglomeration will increase industrial efficiency, it does not reduce carbon emissions as expected and causes serious environmental pollution 35 , 36 . Andersson finds that industrial agglomeration will aggravate ecological degradation due to the existence of the scale effect 37 .…”

Section: Introductionmentioning

confidence: 99%

Spatial correlation between producer services agglomeration and carbon emissions in the Yangtze River Economic Belt based on point-of-interest

Zeng

Shang

Xing

2023

Sci Rep

View full text Add to dashboard Cite

Agglomeration of the industry significantly impacts economic performance and environmental sustainability. In line with its strategic context of striving to achieve carbon reduction targets, China is making efforts to optimize the producer services landscape to reduce carbon emissions. Understanding the spatial correlation between industrial agglomeration and carbon emissions is particularly crucial against this background. Based on POI and remote sensing data of China’s Yangtze River Economic Belt (YREB), the paper adopts the mean nearest neighbor analysis, kernel density analysis, and standard deviation ellipse to portray the agglomeration of producer services. Then uses Moran's I to present the spatial distribution characteristics of carbon emissions. Accordingly, the spatial heterogeneity of producer services agglomeration and carbon emissions is showed using the Geographic detector so as to provide strong support for industrial structure optimization and sustainable development. Here are some of the conclusions drawn from the study: (1) Producer services are a significant state of agglomeration in the provincial capitals and some central cities, with similar agglomeration patterns. (2) Carbon emissions exhibits significant spatial aggregation characteristics, with the spatial distribution pattern of "High west–Low east". (3) Wholesale and retail services industry is the primary risk factor that causes spatial differentiation of carbon emission intensity, "leasing and business services industry-wholesale and retail services industry" is the key interaction factor of the spatial differentiation. (4) Carbon emissions shows a downward trend followed by an upward trend as producer services agglomeration increases.

show abstract

“…Still other scholars believe that the relationship between industrial agglomeration and environmental pollution is non-linear, showing a “U” shape [ 13 ], “inverted U” shape [ 14 ], and other nonlinear relationships. On the basis of this field of study, scholars have incorporated environmental pollution indicators into the efficiency measurement index system and explored the effects of industrial agglomeration on urban green economic efficiency [ 15 ], energy efficiency [ 16 ] and industry green efficiency [ 17 ]. The above studies have made significant progress; however, industrial land is the spatial carrier of manufacturing industry agglomeration, carrying not only the expected benefits (such as economic output and fiscal revenue), but also non-expected outputs (such as SO 2 , soot, and wastewater).…”

Section: Introductionmentioning

confidence: 99%

Research on the Effect of Manufacturing Agglomeration on Green Use Efficiency of Industrial Land

Wang

An-lu

Min

et al. 2023

IJERPH

View full text Add to dashboard Cite

Manufacturing agglomeration (MA) is an important way to achieve high-quality industrial development and promote land use efficiency in China. However, there is a lack of research on the relationship between MA and the green use efficiency of industrial land (GUEIL). Based on the panel data of 279 prefecture-level cities in China, from 2004 to 2019, this study analyzes the spatial and temporal differentiation characteristics of MA and GUEIL, then empirically analyzes the impact of MA on GUEIL. The results show that: (1) during the study period, the national MA levels showed a slight decline, followed by a small increase. In addition, the inter-regional differences are mainly characterized as eastern region > central region > northeast region > western region. (2) The national and regional GUEIL showed a trend of increasing, slightly decreasing, and then increasing again. The overall regional differences in efficiency show the characteristics of: eastern region > central region > western region > northeastern region. (3) At the national scale, MA had a “U-shaped” relationship with GUEIL; at the regional scale, MA had a significant “U-shaped” effect on GUEIL in the northeast, central and western regions, while having a single negative effect in the eastern region. Finally, this study provides suggestions for optimizing the manufacturing structure and improving the GUEIL.

show abstract

Investigating the mechanisms among industrial agglomeration, environmental pollution and sustainable industrial efficiency: a case study in China

Cited by 11 publications

References 60 publications

Research on the relationship between population distribution pattern and urban industrial facility agglomeration in China

Research on the relationship between population distribution pattern and urban industrial facility agglomeration in China

Spatial correlation between producer services agglomeration and carbon emissions in the Yangtze River Economic Belt based on point-of-interest

Research on the Effect of Manufacturing Agglomeration on Green Use Efficiency of Industrial Land

Contact Info

Product

Resources

About