During the past two decades, the exhibition industry in China has been developing rapidly and has become an important part of the modern service industry, particularly the agglomeration characteristics of exhibition e...During the past two decades, the exhibition industry in China has been developing rapidly and has become an important part of the modern service industry, particularly the agglomeration characteristics of exhibition enterprises highlighted on the regional scale. Although the development of theoretical research on the western exhibition industry has taken place over time, the spatial perspective has not been at the centre of attention so far. This paper aims to fill this gap and report on the agglomeration characteristics of exhibition enterprises and their influential factors. Based on data about exhibition enterprises in the Pearl River Delta(PRD) during 1991–2013, using the Ripley K function analysis and kernel density estimation, this research identifies that: 1) the exhibition enterprise on the regional scale is significantly characterized by spatial agglomeration, and the agglomeration density and scale are continuously increasing; 2) the spatial pattern of agglomeration has developed from a single-center to multi-center form. Meanwhile, this paper profiles the factors influencing the spatial agglomeration of exhibition enterprises by selecting the panel data of nine cities in the PRD in 1999, 2002, 2006 and 2013. The results show that market capacity, urban informatization level and exhibition venues significantly influence the location choice of exhibition enterprises. Among them, the market capacity is a variable that exerts a far greater impact than other factors do.展开更多
This study provides a systematic examination of the spatiotemporal evolution of chemical oxygen demand(COD)and ammonia nitrogen(NH3-N)emissions in China from 2004 to 2022,together with their major socioeconomic and in...This study provides a systematic examination of the spatiotemporal evolution of chemical oxygen demand(COD)and ammonia nitrogen(NH3-N)emissions in China from 2004 to 2022,together with their major socioeconomic and industrial driving factors.Using the Spatial Durbin Model(SDM),the study evaluates both the direct impacts and spillover effects of economic variables,including GDP per capita,urbanization rate,and secondary industry output,on pollutant emissions.The results reveal a“rise-then-fall”trajectory of COD emissions,which reflects the combined influence of national environmental policies,such as the 13th Five-Year Plan for Ecological Environmental Protection and the Urban Black and Odorous Water Remediation Program.Although these interventions and technological upgrades effectively reduced emissions,early-stage economic expansion initially intensified pollution.After 2019,however,COD emissions began to increase again,indicating that once GDP per capita reaches a certain level,the relationship between economic growth and pollution becomes positively correlated.This reversal is likely associated with accelerated industrialization and urbanization,which may have outpaced the capacity of existing pollution control systems.Spatially,COD and NH3-N emissions exhibit strong clustering patterns,with the eastern coastal provinces forming pronounced high agglomeration zones.Meanwhile,the central and western regions have experienced growing emission pressure due to ongoing industrialization.Among the key drivers,secondary industry output plays a dominant role in shaping emission levels,while urbanization significantly exacerbates pollutant discharge.Overall,the findings provide empirical support for the formulation of region-specific and adaptive pollution control policies.This research contributes to a more nuanced understanding of the multiscale mechanisms driving water pollution in China and offers scientific guidance for harmonizing economic development and environmental sustainability,particularly in regions experiencing rapid industrialization.展开更多
基金Under the auspices of Humanities and Social Science Foundation of Ministry of Education of China(No.10YJA790047)Funding Project for Academic Human Resources Development in Beijing Union University
文摘During the past two decades, the exhibition industry in China has been developing rapidly and has become an important part of the modern service industry, particularly the agglomeration characteristics of exhibition enterprises highlighted on the regional scale. Although the development of theoretical research on the western exhibition industry has taken place over time, the spatial perspective has not been at the centre of attention so far. This paper aims to fill this gap and report on the agglomeration characteristics of exhibition enterprises and their influential factors. Based on data about exhibition enterprises in the Pearl River Delta(PRD) during 1991–2013, using the Ripley K function analysis and kernel density estimation, this research identifies that: 1) the exhibition enterprise on the regional scale is significantly characterized by spatial agglomeration, and the agglomeration density and scale are continuously increasing; 2) the spatial pattern of agglomeration has developed from a single-center to multi-center form. Meanwhile, this paper profiles the factors influencing the spatial agglomeration of exhibition enterprises by selecting the panel data of nine cities in the PRD in 1999, 2002, 2006 and 2013. The results show that market capacity, urban informatization level and exhibition venues significantly influence the location choice of exhibition enterprises. Among them, the market capacity is a variable that exerts a far greater impact than other factors do.
文摘This study provides a systematic examination of the spatiotemporal evolution of chemical oxygen demand(COD)and ammonia nitrogen(NH3-N)emissions in China from 2004 to 2022,together with their major socioeconomic and industrial driving factors.Using the Spatial Durbin Model(SDM),the study evaluates both the direct impacts and spillover effects of economic variables,including GDP per capita,urbanization rate,and secondary industry output,on pollutant emissions.The results reveal a“rise-then-fall”trajectory of COD emissions,which reflects the combined influence of national environmental policies,such as the 13th Five-Year Plan for Ecological Environmental Protection and the Urban Black and Odorous Water Remediation Program.Although these interventions and technological upgrades effectively reduced emissions,early-stage economic expansion initially intensified pollution.After 2019,however,COD emissions began to increase again,indicating that once GDP per capita reaches a certain level,the relationship between economic growth and pollution becomes positively correlated.This reversal is likely associated with accelerated industrialization and urbanization,which may have outpaced the capacity of existing pollution control systems.Spatially,COD and NH3-N emissions exhibit strong clustering patterns,with the eastern coastal provinces forming pronounced high agglomeration zones.Meanwhile,the central and western regions have experienced growing emission pressure due to ongoing industrialization.Among the key drivers,secondary industry output plays a dominant role in shaping emission levels,while urbanization significantly exacerbates pollutant discharge.Overall,the findings provide empirical support for the formulation of region-specific and adaptive pollution control policies.This research contributes to a more nuanced understanding of the multiscale mechanisms driving water pollution in China and offers scientific guidance for harmonizing economic development and environmental sustainability,particularly in regions experiencing rapid industrialization.
