Degree Of Industrial Agglomeration Research Articles

Analysis of the characteristics and influencing factors of water ecological security in Beijing-Tianjin-Hebei region: A perspective of industrial agglomeration

Water ecological security (WES) is crucial for promotion of economic and social development characterized by high-quality, while exploring the characteristics of WES and its response mechanism to industrial agglomeration can help formulate and implement relevant policies. In this study, a WES evaluation index system tailored for the Beijing-Tianjin-Hebei (BTH) region was constructed based on the Pressure-State-Response (PSR) framework. Additionally, building on the assessment of the degree of industrial agglomeration within the BTH region, the research employs a spatial Durbin model to investigate the impact of industrial agglomeration on WES in the BTH region. The main results are as follows: (1) The level of WES in the BTH region has steadily increased from 2005 to 2021, consistent with the trend of industrial agglomeration in the study area. (2) Influenced by regional economic development and natural conditions, the WES in the BTH region exhibits significant regional disparities and spatial autocorrelation, with levels decreasing from the central area to the east, northwest, and south. (3) Industrial agglomeration enhances WES by improving resource utilization efficiency, reducing pollutant emissions, and providing regional governments with financial resources to improve public services and water ecological protection, leading to better water ecological quality. (4) The impact of different industries on WES varies. As the proportion of the primary industry in the BTH region is relatively small, the agglomeration of the secondary and tertiary industries is more effective in promoting improvements in WES. Moreover, the spatial spillover effects of industrial agglomeration in the BTH region are significant. To enhance the level of WES in the region, this study recommends strengthening water ecological protection, promoting industrial structure adjustment, and enhancing collaborative development.

Greening the marine map: a comprehensive study of China’s marine ecological and economic synergy

IntroductionThis research examines the coupling coordinated development dynamics between marine ecological governance and marine economic development in China’s coastal provinces. The marine ecological governance and economic development data of China’s 11 coastal provinces were comprehensively analyzed from 2011 to 2021.MethodsWe established a multi-dimensional evaluation index system for marine ecological governance and economic development, employing the global entropy weight method for quantification. Furthermore, the research examines and analyzes the trends in coordinated development and divergence between these two systems by constructing a coupled coordination degree(CCD) model, utilizing the Theil index decomposition method, and employing the geodetector detector.ResultsThe Northern marine economic circle outperforms the Eastern and Southern ones regarding marine ecological governance, while the Eastern marine economic circle is the most advanced in marine economic development. The results of the CCD model indicate that Guangdong, Shandong, Hebei, and Jiangsu have the best coupling coordinated development, while Hainan, Tianjin, and Guangxi are at the bottom. The results of the Theil index decomposition method indicate that intra-regional disparities are the primary cause of coupling coordinated regional development variations. At the same time, the results of the geographic detector further substantiate that energy structure, degree of industrial agglomeration, and foreign overseas direct investment are the principal influencing factors.DiscussionThe study presents policy recommendations derived from the findings intended to foster the integrated advancement of marine ecology and economy in coastal provinces, reduce regional development disparities, and establish a scientific foundation for achieving a sustainable marine economy.

Exploring Urbanization Strategies by Dissecting Aggregate Crowd Behaviors: A Case Study in China

Town development, a crucial stage of urbanization, has been increasingly prioritized in recent sustainable socio-economic growth strategies. Vitality, especially the one measured by aggregate crowd behaviors, is widely recognized as a crucial development element. Conducting comprehensive assessments of the drivers of town vitality, particularly crowd vitality, is thus essential for addressing challenges and monitoring progress. This study examines representative towns in China and employs multiple datasets along with XGBoost-SHAP to investigate the mechanisms of development environment factors on aggregate crowd vitality. Key findings highlight the study’s novelty and broader implications: (1) The degree of industrial agglomeration is the most significant factor impacting the dependent measures, providing new data-driven insights into the role of economic clustering in town development. (2) Other indicators, such as the minimum distance to the town center, the enclosure, and car and pedestrian friendliness, can effectively predict town vitality, offering practical considerations for town planning. (3) Industrial innovation and diversification, rational planning of living circles, and enhancement of town conditions emerge as three crucial strategies for promoting urbanization. This study enhances empirical insights with strategies for addressing urbanization challenges, emphasizing how crowd data can be used to inform urbanization policies and planning practices, aiding urban planners in building more sustainable systems.

Research on the Dilemma and Optimization Strategies of Industrial Development of Characteristic Towns under the Rural Revitalization Strategy

The report of the 20th National Congress of the Communist Party of China clearly pointed out that the most difficult and arduous task of building a socialist modern country in an all-round way is still in the countryside. As an important practical form of new urbanization, characteristic towns play a key role in the rural revitalization strategy. The construction of characteristic towns is a "complex ecosystem" integrating multiple fields such as industry, ecology, humanities, and space, which is highly consistent with the general requirements of the rural revitalization strategy. This paper takes Yuantan Brush Industry Town in Qianshan City, Anhui Province as an example to explore the difficulties and optimization strategies faced by its industrial development. Through literature review, field research and case analysis, the geographical and historical background, industrial development status and socio-economic conditions of Yuantan Brush Industry Town are first analyzed. The study found that Yuantan Brush Industry Town has obvious problems in terms of imperfect financial policies, unreasonable ecological zone division, insufficient incentives for professional talents and supporting policies. In response to these problems, this paper proposes a series of optimization strategies. First, enhance the degree of industrial agglomeration, promote cooperation between enterprises and the improvement of upstream and downstream industrial chains. Secondly, improve infrastructure, improve transportation conditions and living supporting facilities. Finally, increase policy support, ensure policy implementation and expand the scope of support. Through these measures, it is aimed to promote the sustainable development of Yuantan Brush Industry Town and achieve industrial upgrading and economic benefits. It is hoped that through the research in this article, experience can be provided for the development of characteristic towns in Anhui, the realization of the strategic goals of rural revitalization can be promoted, and the effective resolution and development of the "three rural" issues can be promoted.

Market center of gravity shift and technological innovation of local firms-evidence from China

ABSTRACT This paper uses the combined data from three micro-databases, namely, China Industrial Enterprise Database, China Customs Database and China Patent Database from 2000 to 2014, to examine the impact of market center of gravity shift on the technological innovation of local enterprises and the empirical results show that: The market center of gravity shift is conducive to improving the local enterprises’ innovation level. The mechanism test shows that the change of market center of gravity promotes the technological innovation of local enterprises by increasing enterprise productivity, stimulating the exit mechanism of market competition, and enhancing the degree of industrial agglomeration.

Industrial agglomeration, environmental protection, and high-quality economic development: evidence from cities along the Yellow River Basin of China

China’s economy has entered a new phase of development, but ecological and environmental issues continue to hinder the quality of economic development. Meanwhile, the externalities of industrial agglomeration are seen as essential for promoting high-quality economic development. This article proposes a theoretical framework to examine the relationship between industrial agglomeration, environmental protection, and high-quality economic development. Using cities along the Yellow River Basin as the research object, a spatial econometric model is employed to verify the hypothesis. Ultimately, the conclusions are as follows. First, there is a significant U-shaped curve relationship between industrial agglomeration and high-quality economic development, as well as between environmental protection and a high-quality economy. Industrial agglomeration plays a significant role in promoting environmental protection. Second, high-quality economic development exhibits spatial spillover effects under both spatial weight matrices, while industrial agglomeration and environmental protection only show spatial spillover effects based on geographical distance spatial weight matrices. Finally, the article suggests that cities should accelerate the degree of industrial agglomeration to achieve the dual effect of promoting environmental protection and high-quality economic development. Additionally, governments should pay special attention to inter-regional synergistic mechanisms when fostering ecological protection and high-quality economic development.

Analysis of the spatial layout and influencing factors of pollution-intensive industries based on enterprise dynamics

The studies of the spatial layout and impact mechanism of pollution-intensive industries have become one of the research hot spots for regional sustainable development. From the viewpoint of enterprise dynamics, this study used a spatial econometric model and kernel density analysis methods to analyze the spatial layout characteristics of pollution-intensive industries in the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR) in 2010, 2015, and 2020, and to explore the reasons for the formation of the spatial divergence of different sub-industries. The results showed that (1) in the past decade, the pollution-intensive industries in the UAMRYR have spatial shift characteristics, basically presenting a “core-edge” pattern from central cities to peripheral cities, and an “agglomeration-diffusion-agglomeration” spatial trend. (2) Different sub-industries had obvious differences in their agglomeration and diffusion trends. The proliferation trend of the non-metallic mineral products industry and the agricultural and sideline foodstuffs processing industry were obvious, which made environmental management difficult. The manufacture of raw chemical materials and chemical products presented the trend of agglomeration, then diffusion, followed by agglomeration, and transferred to areas outside the urban agglomeration, which reduced the pollution to the environment to a certain extent. The spatial pattern of the electricity, heating power production and supply industry were relatively stable, with little overall change. (3) The spatial layout of pollution-intensive industries was mostly driven by the level of economic development and the degree of industrial agglomeration. Innovation capacity and labor cost promoted the spatial diffusion of industries, and the degree of trade openness intensified the agglomeration of pollution-intensive industries in space. The results of the study provided a more microscopic perspective for understanding the changes in the spatial pattern of pollution-intensive industries and served as a reference for the government to formulate industrial and environmental policies.

How Does Public Capital Affect Enterprise Technological Innovation Based on Empirical Evidence from Chinese Listed Companies

Public capital is an important force for promoting industrial agglomeration and enterprise technological innovation, and enterprise technological innovation is the core element in promoting green economic growth. To further reveal the influence mechanism of public capital on enterprise technological innovation, based on the data of A-share listed companies in China from 2007 to 2020, this paper uses the nonlinear moderating effect model and the intermediating effect model to verify the nonlinear influence and transmission mechanism of public capital on enterprise technological innovation. This paper discusses the influence and mechanism of public capital on enterprise innovation from the perspective of industrial agglomeration. The study finds that public capital has a significant role in promoting enterprise technological innovation. Moreover, economic public capital plays a greater role in promoting enterprise technological innovation than social public capital. Further analysis shows that the innovation effect of public capital is nonlinearly regulated by industrial agglomeration. In the initial stage of industrial agglomeration, the higher the degree of industrial agglomeration, the weaker the innovation effect of public capital; however, in the advanced stage of industrial agglomeration, the higher the degree of industrial agglomeration, the stronger the innovation effect of public capital. The nonlinear effect is realized by affecting the profits of enterprises. From enterprise heterogeneity, public capital has a significant role in promoting the technological innovation of non-state-owned enterprises but has no significant impact on the technological innovation of state-owned enterprises; public capital has a significant positive effect on the technological innovation of mid- and high-end technology enterprises, while its impact on the technological innovation of low-end technology enterprises is not significant. From the type of innovation output, public capital has a significant role in promoting enterprise green technology innovation, and the role of public capital in promoting enterprise green invention patents is greater than that of green utility model patents. This study provides a theoretical basis for government public capital investment decisions and empirical evidence for the sustainable development of enterprise technological innovation.

Nature of agglomeration of the manufacturing sector –a study of Indian Districts


 The paper estimates the degree of agglomeration of the Indian organised manufacturing sector and examines its evolution pattern across districts over the period 2000-01 to 2009-10. The estimation of the degree of industrial agglomeration is based on plant-level data from the Annual Survey of Industries. The paper uses the spatially-weighted Ellison Glaser Index to control for the inter-district spillover effect. The overall degree of agglomeration has been moderate and, over time, it registered a declining trend. While analysing the nature of industrial agglomeration, it has been observed that most of the low-tech and medium-low-tech industries are found to be highly agglomerated. 42% of the highly agglomerated industries are also highly polluting in nature. During the period 2000-01 to 2009-10, the second-tier cities observed a rise in the number of plants belonging to the polluting industries. High-tech industries are found to be concentrated in the already industrialised states. In contrast to this, the medium-high-tech industries have been spreading across districts. The distribution of low-tech industries is found to be even across the districts.

Does the digital economy reduce air pollution in China? A perspective from industrial agglomeration

Based on the perspective of industrial agglomeration, this paper employs a dynamic panel model and mediating effects model to investigate the impact of digital economy’s development on air pollution in 274 Chinese cities from 2011 to 2019. The main findings include: (1) The development of the digital economy reduces air pollution emissions in Chinese cities, and the elasticity of pollution reduction is greater in central and western China than in eastern China. (2) The nexus between industrial agglomeration and air pollution is inverted-N-shaped. (3) Mechanism tests show that the digital economy can effectively promote the degree of industrial agglomeration in each area, and it plays a positive role in abating pollution in eastern and central China through the positive externalities of industrial agglomeration, but the mediating effect of industrial agglomeration on pollution reduction is not significant in western China. (4) Diversified agglomeration is an active mediator of the digital economy’s pollution reduction effect in eastern and central China. Accordingly, some policy implications are put forward for simultaneously promoting the development of the digital economy and reducing air pollution, impelling industrial agglomeration, and accelerating the green transformation in China.

A new method for identifying industrial clustering using the standard deviational ellipse

Industrial agglomeration has attracted extensive attention from economists and geographers, yet it is still a challenge to identify the multi-agglomeration spatial structure and degree of industrial agglomeration in continuous space—there is still a lack of a more targeted industrial clustering method. The clustering method and the standard deviational ellipse (simply, ellipse) model have advantages in identifying the spatial structure and representing spatial information respectively. On this basis, we propose an ellipse-based approach to identifying industrial clusters. Our ellipse-based approach rests upon group nearest neighbor using the group-based nearest neighbor (GNN) ordering and spatial compactness matrix, where a number of point sequences with varying lengths, generated under the GNN ordering, are characterized by an ellipse and the elliptical parameters of these point sequences formulate the values and structure of the compactness matrix. Clustering is reformulated to identify ellipses with a specified parameter among a number of potential candidate ellipses, with significant changes (especially in the area) used as the cutoff criterion for determining the clusters’ border point. Our approach is illustrated in the location pattern of firms in Shanghai City, China in comparison with four well-known clustering methods. With the combination of elliptical parameters and spatial compactness, our approach may bring a new analytical ground for future industrial clustering research.

Can the Establishment of University Science and Technology Parks Promote Urban Innovation? Evidence from China

China’s university science and technology parks (USTPs) were established with the aim of closely combining the scientific and educational intellectual resources of universities with the advantageous innovation resources of the market to form a fusion of industry and education. This paper uses the establishment of national university science and technology parks (NUSTPs) as a “quasi-natural experiment.” We used the panel data of 293 cities from 1999 to 2017 as a sample to analyze the impact of NUSTP establishment on urban innovation, using the difference-in-difference method. The research found the following: (1) The establishment of NUSTPs significantly improves the level of urban innovation, and the conclusion is still valid after a series of robustness tests. The urban innovation effect of the establishment of NUSTPs is dynamic, non-lagging, and continuous. (2) The innovation effect differs significantly, depending on the city region, the city scale, and the university level. Specifically, the innovation effect of the establishment of NUSTPs is significant for cities in middle and western cities, large-scale cities, and cities with double first-class and local universities setting up USTPs, while the effect is not significant for cities in eastern cities, small- and medium-scale cities, and non-double first-class and ministry-affiliated institutions. (3) The impact mechanism test shows that NUSTPs contribute to urban innovation by increasing the city’s human capital, enhancing the degree of industrial agglomeration, and creating an innovation space effect.

Path optimization of open collaborative innovation of energy industry in urban agglomeration based on particle swarm optimization algorithm

To study the open collaborative innovation path optimization of urban agglomeration energy industry based on particle swarm optimization algorithm. Firstly, this paper brings industrial agglomeration and urban agglomeration into a unified analytical framework, uses location entropy and spatial Gini coefficient to measure the degree of industrial agglomeration, and evaluates the degree of regional industrial agglomeration competitiveness by constructing an evaluation index system of industrial agglomeration competitiveness. Then, the agglomeration index system was established, the development degree analysis method and Carlino model were used to analyze the development degree and agglomeration degree of eco-economic zones, and the agglomeration effect was analyzed by dynamic econometric method and spatial autocorrelation statistical method. Finally, a regional collaborative innovation capability evaluation model based on particle swarm optimization algorithm is constructed. Based on the index system and evaluation model, this paper evaluates and analyzes the collaborative innovation capability, and puts forward countermeasures and suggestions for future collaborative development.

Investigate the Effects of Industrial Agglomeration on Nitrogen Dioxide Pollution Using Spatial Panel Durbin and Panel Threshold Models

The degree of industrial agglomeration in China has contributed to the reduction of nitrogen dioxide pollution because of financial support, the allocation of environmental governance efficiency, and technological advantages. However, the intensity and scope of the spatial effect of this contribution needs to be studied in depth. Based on the influence mechanism and intermediate mechanism of the spatial pattern, this paper uses the panel data of 282 prefecture-level and above cities in China from 2015 to 2018, draws on the STIRPAT model, and uses the Spatial Panel Durbin and Panel Threshold models to investigate the effects of industrial agglomeration on nitrogen dioxide. The study finds that 1) industrial agglomeration has a significant spatial spillover effect on the reduction of nitrogen dioxide pollution, and the increase in the level of local industrial agglomeration can greatly reduce the concentration of nitrogen dioxide in the surrounding area. 2) This kind of spatial overflow has a threshold boundary. Within 100 km, it is a dense area of overflow and reaches the threshold boundary beyond 150 km. 3) Under the influence of the three intermediate mechanisms of industrial agglomeration, the increase in car ownership, and the level of economic development, the impact of industrial agglomeration on the reduction of nitrogen dioxide pollution has gradually increased. The above conclusion is still valid after various robustness tests.

Industrial Agglomeration of High Technology in Yangtze River Delta City Cluster Based on Knowledge Spillover Spatial Effect Study

The Yangtze River Delta (YRD) region has been a strong innovation capability and has a good economic development and innovation environment. This paper will focus on the spatial effects of high-tech industrial agglomeration in the Yangtze River Delta region based on the knowledge spillover theory, with the Yangtze River Delta regional city cluster as the research object. This paper begins with a review of relevant literature on knowledge spillover, high-tech industry agglomeration and the relationship between science and technology innovation and economic growth. On this basis, we measure the degree of industrial agglomeration in 27 urban areas of the Yangtze River Delta using the locational entropy research method and analyze the current situation of innovation and high-tech industry development in the Yangtze River Delta. It is found that most of the urban agglomerations are not randomly distributed in the first and third quadrants, indicating that they have considerable spatial correlation, and then relevant countermeasure suggestions are given.

Can Industrial Agglomeration Facilitate Green Development? Evidence From China

Industrial agglomeration can promote economic growth through knowledge spillover and cooperation, while it may also bring serious pollution problems. Therefore, clarifying the relationship between industrial agglomeration and green development is of great significance to the realization of China’s sustainable development. In order to study the causal relationship between industrial agglomeration and green development, this paper first adopts the Overall Malquist Index method to more accurately measure the green development of Chinese cities characterized by environmental total factor productivity (ETFP). Subsequently, this paper uses the panel data of prefecture-level cities from 2003 to 2016 to study the causal relationship between industrial agglomeration and green development. We found that China’s current industrial agglomeration can promote green development. Mechanism analysis shows that industrial agglomeration can promote green development through improving the technological innovation, strengthening government intervention and optimizing the industrial structure. Finally, heterogeneity analysis shows that industrial agglomeration has a stronger role in promoting green development in areas where the economy is more developed, the degree of resource dependence is lower, and the degree of industrial agglomeration is higher. This paper not only provides theoretical and policy references for the research on industrial agglomeration and green development, but also provides experience reference for other developing countries.

Industrial agglomeration and air pollution: A new perspective from enterprises in Atmospheric Pollution Transmission Channel Cities (APTCC) of Beijing-Tianjin-Hebei and its surrounding areas, China.

Air quality in China has gradually been improving in recent years; however, the Beijing-Tianjin-Hebei (BTH) region continues to be the most polluted area in China, with the worst air quality index. BTH and its surrounding areas experience high agglomeration of heavy-polluting manufacturers that generate electric power, process petroleum and coal, and carry out smelting and pressing of ferrous metals, raw chemical materials, chemical products, and non-metallic mineral products. This study presents evidence of the air pollution impacts of industrial agglomeration using the Ellison-Glaeser index, Herfindahl-Hirschman index, and spatial autocorrelation analysis. This was based on data from 73,353 enterprises in "2+26" atmospheric pollution transmission channel cities in BTH and its surrounding areas (herein referred to as BTH "2+26" cities). The results showed that Beijing, Yangquan, Puyang, Kaifeng, Taiyuan, and Jinan had the highest Ellison-Glaeser index among the BTH "2+26" cities; this represents the highest enterprise agglomeration. Beijing, Langfang, Tianjin, Baoding, and Tangshan also showed a low Herfindahl-Hirschman index of pollutant emissions, which have a relatively high degree of industrial agglomeration in BTH "2+26" cities. There was an inverted U-shaped relationship between enterprise agglomeration and air quality in the BTH "2+26" cities. This means that air quality improved with increased industrial agglomeration up to a certain level; beyond this point, the air quality begins to deteriorate with a decrease in industrial agglomeration.

Analysis of the agglomeration of Chinese manufacturing industries and its effect on economic growth in different regions after entering the new normal

Abstract Entering the new normal of economy symbolises the innovation of growth mode and continuous optimisation and upgradation of economic structure. Using EG index, this paper measures the agglomeration degree of 31 provinces and cities and 31 manufacturing industries in China from 2012 to 2016; the results show that under the new normal, the degree of industrial agglomeration in China's manufacturing industry remains basically stable, but the overall situation is still in a state of moderate agglomeration, the regions with higher degree of concentration continue to present the pattern of ‘one pole, two domains’. To further reveal the relationship between the concentration of Chinese manufacturing industry and regional economic growth, the GMM method of dynamic panel two-stage system was used, and the results showed that industrial agglomeration and economic growth do not have simple linear relationship, but inverted U-type relationship. There was a dynamic continuation effect of regional economic growth, and external factors such as fixed asset investment and government financial expenditure can promote regional industrial economic growth. Finally, the enlightenment of the complete article is given.

On Fashion Industry Status and Design Innovation Strategies for Chinese Leather

The leather fashion industry has always been one of China’s important industries with a higher degree of industrial agglomeration and internationalization. After 30 years of precipitation, adjustment and reform, it is now marching towards a stage of in-depth innovation. Based on the analysis of the current situation of the leather industry and leather wear design, this paper puts forward the main status and problems faced by the Chinese leather wear design: style convergence, seasonal limitations, environmental issues, and talent problems. According to the characteristics of materials, craftsmanship and structure of leather wear, this paper attempts to propose specific design strategies from the following perspectives: design resource integration, design methods, design thinking, and collaborative innovation. These perspectives provide the following four aspects of innovation strategies for advancing the overall desgin level as well as design value for Chinese Leather wear: integration and optimization of design resources, innovation in design methods, improvement of design thinking, cross-border collaborative innovation and joint efforts of the government, enterprises, and colleges. On this basis, this paper explores and studies development ideas, and thus puts forward four suggestions on new directions of Chinese leather wear design, that is technology, refinement of positioning, branding and sustainability.

Whether the degree of industrial agglomeration affects the discharge of industrial pollution in China

This paper discusses the influence of industrial agglomeration on industrial pollution emission in China. Based on the data of several industrial sectors in China from 2005 to 2015, the panel model is adopted for empirical analysis. Industrial agglomeration significantly affects the discharge of industrial waste water, so2 and industrial dust, and the effects are all positively correlated. This shows that in the process of industrial development, enterprises’ geographic spatial aggregation will increase industrial pollution emissions to a certain extent, which is not conducive to easing the contradiction between industrial development and ecological environment.