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Assessing the impact of manufacturing agglomeration on environmental pollution in Beijing-Tianjin-Hebei region using spatial panel data model
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作者 ZHANG Ting-ting 《Ecological Economy》 2023年第4期374-380,共7页
The Beijing-Tianjin-Hebei region is the vanguard of economic development in northern China.Its manufacturing industry is more and more developed,but environmental pollution is also more serious.Based on the data of 13... The Beijing-Tianjin-Hebei region is the vanguard of economic development in northern China.Its manufacturing industry is more and more developed,but environmental pollution is also more serious.Based on the data of 13 cities in Beijing-Tianjin-Hebei region from 2017 to 2021,the paper verifies the impact of manufacturing agglomeration on environmental pollution.Both manufacturing agglomeration and environmental pollution are dependent on spatial distribution.Therefore,the paper selects spatial econometric model to study.First,the spatial lag model and spatial error model are constructed,and then the spatial lag model is selected through the results of OLS regression,LM Test and Hausman test,and the empirical process is carried out.Finally,the empirical results are analyzed and the conclusion is drawn. 展开更多
关键词 manufacturing agglomeration environmental pollution impact Beijing-Tianjin-Hebei region
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Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data 被引量:3
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作者 HUANG Yujin SHENG Kerong SUN Wei 《Journal of Geographical Sciences》 SCIE CSCD 2022年第10期2105-2128,共24页
Industrial agglomeration is a highly prominent geographical feature of economic activities,and it is an important research topic in economic geography.However,mechanism-based explanations of industrial agglomeration o... Industrial agglomeration is a highly prominent geographical feature of economic activities,and it is an important research topic in economic geography.However,mechanism-based explanations of industrial agglomeration often differ due to a failure to distinguish properly between the spatial distribution of industries and the stages of industrial agglomeration.Based on micro data from three national economic censuses,this study uses the Duranton-Overman(DO)index method to calculate the spatial distribution of manufacturing industries(three-digit classifications)in the Beijing-Tianjin-Hebei region(BTH region hereafter)from 2004 to 2013 as well as the hurdle model to explain quantitatively the influencing factors and differences in the two stages of agglomeration formation and agglomeration development.The research results show the following:(1)In 2004,2008,and 2013,there were 124,127,and 129 agglomerations of three-digit industry types in the BTH region,respectively.Technology-intensive and labor-intensive manufacturing industries had high agglomeration intensity,but overall agglomeration intensity declined during the study period,from 0.332 to 0.261.(2)There are two stages of manufacturing agglomeration,with different dominant factors.During the agglomeration formation stage,the main locational considerations of enterprises are basic conditions.Agricultural resources and transportation have negative effects on agglomeration formation,while labor pool and foreign investment have positive effects.In the agglomeration development stage,enterprises focus more on factors such as agglomeration economies and policies.Internal and external industry linkages both have a positive effect,with the former having a stronger effect,while development zone policies and electricity,gas,and water resources have a negative effect.(3)Influencing factors on industrial agglomeration have a scale effect,and they all show a weakening trend as distance increases,but different factors respond differently to distance. 展开更多
关键词 manufacturing agglomeration hurdle model DO index Beijing-Tianjin-Hebei region
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Spatial-temporal Pattern Evolution of Manufacturing Geographical Agglomeration and Influencing Factors of Old Industrial Base:A Case of Jilin Province,China 被引量:6
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作者 LI Linshan MA Yanji 《Chinese Geographical Science》 SCIE CSCD 2015年第4期486-497,共12页
The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration rat... The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound. 展开更多
关键词 old industrial base manufacturing geographical agglomeration industrial spatial agglomeration index concentration ratio Jilin Province China
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