{"title":"基于门槛和空间溢出双重视角的长三角城市群产业集聚对大气环境效率的综合效应分析","authors":"Chuanming Yang, Xin Chen, Junyu Chen, Qingqing Zhuo","doi":"10.1007/s11869-023-01420-2","DOIUrl":null,"url":null,"abstract":"<div><p>Industrial coagglomeration (ICA) is an important factor affecting the regional air environment. The atmospheric environmental efficiency (AEE) of the Yangtze River Delta urban agglomeration (YRDUA) from 2012 to 2020 was evaluated based on the hybrid-dynamic DEA model. And the industrial coagglomeration (ICA) was calculated by the location entropy model. Then, nonlinear relationships between ICA and AEE were measured based on the threshold regression model. Spatial correlation characteristics of AEE were furtherly measured based on Moran’s I, and the spatial impact of ICA on AEE was revealed through the spatial Durbin model. The results showed that the impact of ICA on AEE in the YRDUA during the study period presented a U-shaped single threshold effect, and the ICA effectively improved AEE after crossing the threshold value. The AEE of YRDUA had significant spatial correlation and dependence, and each city showed four local agglomeration characteristics of “high-high,” “high-low,” “low-low,” and not significant. ICA had an enhancement effect on the local AEE while having a negative effect on the surrounding AEE. The four control variables of economic development, industrial structure, scientific and technological level, and openness improved AEE to varying degrees and produced positive spatial spillover effects. Carbon emissions inhibited AEE and produced negative effects. Suggestions include speeding up the transformation of energy supply mode, replacing material consumption with the input of service elements, promoting the two-way free flow of innovation factors, increasing the application of clean energy and energy-saving technologies, and relying on intelligent manufacturing to break through the boundaries of enterprise resources, could be solutions to optimize the relationship between ICA and AEE.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2023-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of the comprehensive effects of industrial coagglomeration on atmospheric environmental efficiency in the Yangtze River Delta urban agglomeration based on the dual perspectives of threshold and spatial spillover\",\"authors\":\"Chuanming Yang, Xin Chen, Junyu Chen, Qingqing Zhuo\",\"doi\":\"10.1007/s11869-023-01420-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Industrial coagglomeration (ICA) is an important factor affecting the regional air environment. The atmospheric environmental efficiency (AEE) of the Yangtze River Delta urban agglomeration (YRDUA) from 2012 to 2020 was evaluated based on the hybrid-dynamic DEA model. And the industrial coagglomeration (ICA) was calculated by the location entropy model. Then, nonlinear relationships between ICA and AEE were measured based on the threshold regression model. Spatial correlation characteristics of AEE were furtherly measured based on Moran’s I, and the spatial impact of ICA on AEE was revealed through the spatial Durbin model. The results showed that the impact of ICA on AEE in the YRDUA during the study period presented a U-shaped single threshold effect, and the ICA effectively improved AEE after crossing the threshold value. The AEE of YRDUA had significant spatial correlation and dependence, and each city showed four local agglomeration characteristics of “high-high,” “high-low,” “low-low,” and not significant. ICA had an enhancement effect on the local AEE while having a negative effect on the surrounding AEE. The four control variables of economic development, industrial structure, scientific and technological level, and openness improved AEE to varying degrees and produced positive spatial spillover effects. Carbon emissions inhibited AEE and produced negative effects. Suggestions include speeding up the transformation of energy supply mode, replacing material consumption with the input of service elements, promoting the two-way free flow of innovation factors, increasing the application of clean energy and energy-saving technologies, and relying on intelligent manufacturing to break through the boundaries of enterprise resources, could be solutions to optimize the relationship between ICA and AEE.</p><h3>Graphical Abstract</h3>\\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>\",\"PeriodicalId\":49109,\"journal\":{\"name\":\"Air Quality Atmosphere and Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality Atmosphere and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11869-023-01420-2\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-023-01420-2","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Analysis of the comprehensive effects of industrial coagglomeration on atmospheric environmental efficiency in the Yangtze River Delta urban agglomeration based on the dual perspectives of threshold and spatial spillover
Industrial coagglomeration (ICA) is an important factor affecting the regional air environment. The atmospheric environmental efficiency (AEE) of the Yangtze River Delta urban agglomeration (YRDUA) from 2012 to 2020 was evaluated based on the hybrid-dynamic DEA model. And the industrial coagglomeration (ICA) was calculated by the location entropy model. Then, nonlinear relationships between ICA and AEE were measured based on the threshold regression model. Spatial correlation characteristics of AEE were furtherly measured based on Moran’s I, and the spatial impact of ICA on AEE was revealed through the spatial Durbin model. The results showed that the impact of ICA on AEE in the YRDUA during the study period presented a U-shaped single threshold effect, and the ICA effectively improved AEE after crossing the threshold value. The AEE of YRDUA had significant spatial correlation and dependence, and each city showed four local agglomeration characteristics of “high-high,” “high-low,” “low-low,” and not significant. ICA had an enhancement effect on the local AEE while having a negative effect on the surrounding AEE. The four control variables of economic development, industrial structure, scientific and technological level, and openness improved AEE to varying degrees and produced positive spatial spillover effects. Carbon emissions inhibited AEE and produced negative effects. Suggestions include speeding up the transformation of energy supply mode, replacing material consumption with the input of service elements, promoting the two-way free flow of innovation factors, increasing the application of clean energy and energy-saving technologies, and relying on intelligent manufacturing to break through the boundaries of enterprise resources, could be solutions to optimize the relationship between ICA and AEE.
期刊介绍：
Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health.
It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes.
International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals.
Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements.
This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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