Effect Of Industrial Agglomeration Research Articles

Assessing the Spatial Distribution of Carbon Emissions and Influencing Factors in the Yellow River Basin

The spatial distribution and trend of carbon emissions in the Yellow River Basin—an important ecological barrier and economic belt in China—directly affect the stability of the ecosystem and the sustainable development of the regional economy. Based on the data for carbon emissions in China’s counties from 1997 to 2017, this paper utilizes standard deviation ellipses, Theil index nested decomposition, and geographic detector models to make a comprehensive description of the spatial and temporal distribution and dynamic evolution characteristics of carbon emissions in the Yellow River Basin. Factors influencing carbon emissions are also analyzed from multiple dimensions. According to the findings, (1) carbon emissions at the county level show a clear upward trend without reaching a peak, exhibiting a spatial distribution of higher emissions in the east and lower in the west and higher in the south and lower in the north, with the mid-lower reaches being the center. The junction of the Shandong, Shaanxi, and Gansu provinces further exhibits a significant expansion, forming two core areas of carbon emissions. (2) Carbon emissions at the county level in the Yellow River Basin are influenced by both economic and geographic factors, exhibiting a significant high carbon spillover effect and a low carbon lock-in effect. The gravity center of the distribution has shifted towards the mid-lower reaches, with the upper reaches displaying dispersion tendencies. (3) Intra-regional disparities are the main source of the overall spatial differences in carbon emissions, with the largest disparities being observed in the upper reaches, followed by the middle reaches, and the smallest disparities being observed in the lower reaches. Further analysis shows that the level of economic development is the primary factor influencing the spatial variation of carbon emissions, and the combined effects of population size and industrial agglomeration are the key drivers of the annual growth in carbon emissions.

Latent Information in the Evolving Energy Structure

Recent studies indicate that Artificial Intelligence (AI) technology, characterized by its integration of information and communication technology attributes, exerts a multifaceted influence on the energy system. The authors employ Difference-in-Differences (DID) and Triple-Difference (DDD) models to investigate the effects of AI. The research initially demonstrates that AI may exhibit dual attributes of constraining energy structure. Specifically, the rapid development of AI tends to increase the proportion of fossil fuel-based electricity generation while optimizing the consumption of renewable energy. Furthermore, the degradation of energy structure stems from the surge in electricity consumption by AI, which the renewable energy consumption capacity is unable to satisfy. Lastly, industrial agglomeration effects and the construction of the digital economy have positive impacts on development of renewable energy; technological innovation aids in mitigating the negative shocks to the energy structure. This study provides a new perspective on the role of AI technology in energy transition.

The Impact of Agglomeration on CO2 Emissions in China's Transport Sector: A Spatial Econometric Analysis

The long-term processes of urbanization and industrialization have led to the agglomeration of population and industry, fostering economic development while introducing opportunities and challenges for carbon reduction in transport. This paper integrates the Stochastic Impacts by Regression on Population, Affluence, and Technology Model with the Spatial Durbin Model to assess the effects of population agglomeration and industrial agglomeration on transport carbon dioxide emissions. The empirical results show that a 1% increase in population agglomeration decreases local transport carbon dioxide emissions by 1.7065% and generates a spillover effect of 1.0542% in surrounding areas. In contrast, industrial agglomeration increases regional transport carbon dioxide emissions by an average of 0.3309% without significant spillover effects. Furthermore, economic agglomeration exhibits an N-shaped relationship with transport carbon dioxide emissions, reflecting the dual influences of the "economic effect" and the "congestion effect". Mechanism analysis reveals that both types of agglomeration can modulate the impact of infrastructure development on transport carbon dioxide emissions, suggesting that effective infrastructure planning can help alleviate the negative environmental impacts. This study provides a spatial mode for understanding the synergistic effects of population planning, industrial development, and environmental improvement, offering significant reference value for policymakers in the decision-making related to low-carbon transport development.

Industrial agglomeration, environmental regulation, and high‐quality development in rural China: From the perspective of spatial effect

AbstractExplore the interaction and spatial spillover effects between industrial agglomeration, environmental regulation, and high‐quality development of agriculture and rural areas, formulate appropriate industrial and environmental policies for different regions, guide the orderly agglomeration of agricultural sectors, and adjust the intensity of environmental regulation, which will help achieve high‐quality development. This manuscript firstly deconstructs the internal logic among industrial agglomeration, environmental regulation, and high‐quality development. Secondly, the Super‐SBM model is used to calculate the high‐quality development efficiency in rural China from 2000 to 2020. Finally, the Spatial Dubin Model (SDM) is used to analyze the spatial spillover effects and regional differences of industrial agglomeration, environmental regulation, and their integration impact on high‐quality development in rural China. The results show that: ① From 2000 to 2020, the high‐quality development efficiency shows a downward trend in fluctuation, and high‐quality development needs to be improved. ② There are significant regional differences in the effects of industrial agglomeration and environmental regulation on the high‐quality development efficiency. Industrial specialization agglomeration can effectively improve the high‐quality development efficiency, while industrial diversification agglomeration has uncertain effects. ③ The integration of environmental regulation and diversification agglomeration inhibits the high‐quality development efficiency, while the integration with specialization agglomeration has a stronger effect on improving high‐quality development efficiency. It is necessary to further enhance the effect of diversification agglomeration.

The impact of collaborative agglomeration of manufacturing and services on carbon emission efficiency: spatial effect and mechanism analysis

ABSTRACT Urban economic development benefits from industrial agglomeration by enhancing efficiency, but it may also bring negative effects, such as environmental pollution. This research uses data from 283 Chinese cities from 2007 to 2019, and applies the Spatial Durbin Model to investigate the spatial effects of industrial agglomeration on carbon emission efficiency, along with its impact mechanisms at various stages of collaborative agglomeration between the manufacturing and service sectors. The results indicate that: (1) The upgrading of the service industry from consumption-oriented to production-oriented has proved to be conducive to enhancing carbon emission efficiency and alleviating the environmental problems associated with manufacturing agglomeration. (2) The industrial collaborative agglomeration exerts a spatial spillover effect on carbon emission efficiency. Over time, as the degree of industrial collaborative agglomeration reaches a specific threshold, it positively impacts the carbon emission efficiency within the local area but exerts an inhibitory effect in neighboring regions. (3) The urban agglomerations of Yangtze River Delta, Beijing-Tianjin-Hebei, and Pearl River Delta regions, along with low-carbon pilot cities, demonstrate a greater capacity to enhance the positive impact of industrial collaborative agglomeration on carbon emission efficiency. (4) Collaborative industrial clustering fosters technological progress through domestic technology transfer and green technology innovation. It also mitigates mismatches between labor and capital, enhances land-intensive utilization efficiency, and optimizes resource allocation, ultimately leading to improve carbon emission efficiency. This research contributes to China’s economic and social transition towards a low-carbon future and provides valuable insights for the green development and industrial upgrading of developing countries.

Industrial Agglomeration, Land Consolidation, and Agricultural Energy Inefficiency in China: An Analysis Using By-Production Technology and Simultaneous Equations Model

Improving agricultural energy inefficiency is essential for achieving sustainable agricultural development and promoting major agricultural countries to achieve carbon peak and carbon neutrality goals. This paper analyzes agricultural energy inefficiency in China, using panel data from 30 provinces between 2000 and 2021. The by-production technology model is employed to measure and decompose inefficiency, and the simultaneous equations model and moderating effect model are utilized to study the impact mechanism of industrial agglomeration, land consolidation, and agricultural energy inefficiency. The findings reveal several key points: First, the average inefficiency of agricultural energy in China increased from 0.370 to 0.514, with economic inefficiency rising at a faster rate than environmental inefficiency. Second, agricultural industrial agglomeration serves to inhibit both agricultural energy economic inefficiency and environmental inefficiency, which, in turn, hampers the development of industrial agglomeration. This relationship shows heterogeneity across the eastern, central, and western regions, as well as between major and non-major grain production areas. Third, land consolidation—both nationally and specifically in the central, major grain-producing, and non-major grain-producing areas—effectively mitigates the deterioration of agricultural energy inefficiency caused by industrial agglomeration. In the eastern region, land consolidation can enhance the inhibitory effect of industrial agglomeration on energy inefficiency. This paper highlights the interconnections between industrial agglomeration, land consolidation, and agricultural energy inefficiency, providing valuable policy references for the development of sustainable agriculture and the proactive and steady advancement of carbon peak and carbon neutrality goals.

Can digital technology adoption promote environmental innovation in small and medium-sized enterprises (SMEs)? Evidence from China

Despite the widespread acknowledgment in both industry and academia of the substantial potential of digital technology for fostering innovation and sustainable development, there remains uncertainty surrounding whether integrating these technologies can improve environmental innovation in small and medium-sized enterprises (SMEs) due to the liability of smallness. This paper utilizes a panel dataset comprising 1036 Chinese manufacturing SMEs listed between 2011 and 2020 to investigate the influence of different digital technology adoption strategies—specifically, digital technology adoption breadth (DTAB) and digital technology adoption depth (DTAD)—on SMEs' environmental innovation. Additionally, we examine the moderating effects of government subsidies and industrial agglomeration on these relationships. The results reveal that (1) DTAB has a negative effect on SMEs' environmental innovation; (2) DTAD positively affects SMEs' environmental innovation; and (3) both government R&D subsidies and environmental subsidies can positively moderate the relationships among DTAB, DTAD, and environmental innovation within SMEs. These findings are extended and upheld after undergoing a series of further analyses, endogeneity analyses, and robustness tests. Our research suggests that SMEs are not as suited to the broad adoption of digital technologies as large firms; instead, they should focus on the deep application of specific digital technologies to promote environmental innovation.

Does industrial agglomeration curb corporate carbon emissions? A perspective of financial constraints

This paper investigates the impact of industrial agglomeration on corporate carbon emissions in China. We measure the extent of industrial agglomeration utilizing distance-based continuous spatial measurement, differentiating between the quantity and scale of agglomeration. Using a panel of 7895 firm-year observations from 2007 to 2019, our findings indicate that regional industrial agglomeration contributes to a reduction in carbon emissions for firms located within those regions. Specifically, this reduction is primarily achieved through the alleviation of corporate financial constraints. We demonstrate that industrial agglomeration facilitates firms in accessing informal finance (e.g., trade credit) more effectively than formal finance (e.g., bank loans). Additionally, we find that the effect of industrial agglomeration on reducing carbon emissions is more pronounced for firms with higher environmental responsibility, while it is diminished in regions with greater marketization. The carbon reduction effect is also more significant for heavily polluting firms and those situated in areas with stricter environmental regulations. Furthermore, our study reveals that the implementation of green credit policies may weaken the carbon reduction effect of agglomeration by limiting access to financial resources. The robustness of our main results is confirmed through the Bartik-IV test and other robustness checks. Taken together, our findings suggest that industrial agglomeration can effectively lower corporate carbon emissions by easing financial constraints, offering valuable insights into strategies for enhancing corporate environmental performance.

Technology transfer and global value chain upgrading of manufacturing firms: Evidence from China

Breaking through the predicament of "low-end lock-in" and achieving the upgrading of enterprises within the global value chain (GVC) is a critical issue in the study of internationalization strategies for enterprises in emerging economies. This paper uses China, a quintessential representative of such economies, as a case to explore how technology transfer can facilitate the upgrading of enterprises' GVCs. This research aims to reshape the international strategic positioning of Chinese enterprises by promoting the integration and development of technology transfer and the GVC. Utilizing patent data from Chinese manufacturing enterprises, as well as data from Chinese industrial enterprises and customs records from 2004 to 2014, this study empirically examines the relationship between technology transfer and the upgrading of enterprises' GVCs. Additionally, the moderating effect of industrial agglomeration is incorporated into the research framework.The findings reveal that both technology transfer in and technology transfer out significantly positively influence the upgrading of enterprises' GVCs, highlighting the crucial role of technological knowledge flow in enhancing enterprise positioning within the GVC. Furthermore, industrial agglomeration is shown to exert a positive moderating effect on GVC upgrading as a result of technology transfer out. This study provides valuable insights for policymakers, enterprise managers, and academics, enabling a more nuanced understanding of the pivotal role of technology transfer in reshaping GVCs. Consequently, it offers robust support for the internationalization strategies of Chinese enterprises.

The environmental consequences of industrial agglomeration: New evidence from city-level data in China

In the context of sustainable development, environmental policies increasingly focus on reducing carbon emissions worldwide. Industrial agglomeration (IAGG) has emerged as a potential factor in achieving this objective by reducing carbon emissions and improving air quality. This study examines the direct and indirect impacts, spatial dynamics, and policy impacts of industrial agglomeration on air pollution levels. Panel data from 278 cities in China between 2011 and 2020 are utilized to investigate the potential of industrial agglomeration to reduce air pollution. Multiple regression models are employed, these models explore the mechanisms through which industrial agglomeration can have a positive effect on air pollution, highlighting economic growth, inclusive finance, digital economy and technological innovation as crucial factors. The study also investigates the spatial spillover effects of industrial agglomeration, finding that the concentration ratio and specialization of neighbouring cities significantly contribute to local air pollution levels. Furthermore, this contribution increases progressively with distance. The study investigates the spillover effects of environmental pollution and industrial agglomeration-related policies on PM2.5 concentration, concluding that such spillover effects lead to a decrease in PM2.5 concentration in neighbouring locations.

The effects of industrial agglomeration on ecological efficiency in China: evidence from manufacturing industry panel data

The effects of industrial agglomeration on ecological efficiency in China: evidence from manufacturing industry panel data

Urban sustainable development goals and ecosystem services: Pathways to achieving coordination

It has been widely recognized that progress toward achieving Sustainable Development Goals (SDGs) must be better harmonized with Ecosystem Services (ESs) to tackle global challenges. In China, the National Key Ecological Function Areas (NKEFAs) were set up as one of the ecological fiscal transfer projects. Despite its significant influences on the SDGs-ESs nexus, there is a lack of empirical studies on the effects and mechanisms of policy. In response, this study provides a synthesized framework that incorporates the coupling coordination degree between the Urban Sustainable Development Goals (USDGs) and Ecosystem Services Scores (ESSs), empirically verifies the policy effect using the difference-in-differences model, and then further investigates the mechanisms of government action to coordinate urban SDGs and ESs. The results show that: (1) The coupling coordination degree between USDGs and ESSs varies significantly across different regions but steadily increases over time, with a faster increasing rate of coordination degree growth in NKEEFAs pilot cities compared to non-pilot cities. (2) The policy has demonstrated benefits in coordinating USDGs and ESSs with a coefficient of 0.005. In detail, the policy enhances ESSs but concurrently exerts a negative influence on USDGs, with coefficients are 0.008 and −0.004 respectively, suggesting an uneven distribution of the policy's impacts. (3) The study unveils the 'technological innovation effect' and the 'industrial agglomeration effect' as crucial mediating pathways for policy effect, laying a solid foundation for USDGs and ESSs coordination. In total, the study highlights the critical need to account for regional development disparities and adequate funding in ecological protection policies to ensure fairness and effectiveness from a central decision-making standpoint. It recommends enhancing transparency in fiscal expenditures and fostering regional joint coordination to address local government challenges. These insights from this study can offer valuable guidance for policymakers to refine policy implementation and promote the coordination of regional ESs and SDGs.

A Ramsey-Type Equilibrium Model with Spatially Dispersed Agents

AbstractWe present a spatial and time-continuous Ramsey-type equilibrium model for households and firms that interact on a spatial domain to model labor mobility in the presence of commuting costs. After discretization in space and time, we obtain a mixed complementarity problem that represents the spatial equilibrium model. We prove existence of equilibria using the theory of finite-dimensional variational inequalities and derive a tailored diagonalization method to solve the resulting large-scale instances. Finally, we present a case study that highlights the influence of commuting costs and show that the model allows to analyze transitory effects of industrial agglomeration that emerge and vanish over time as in the real economy.

Industrial agglomeration, environmental regulation, and regional environmental performance: Direct and interactive effects

AbstractThe contradiction between the economy and the environment becomes acute as the increasing ecological constraints. It is thus necessary to improve environmental performance and realize the economic‐ecological double dividend. To achieve that, co‐operative efforts are needed on both production and governance sides, particularly industrial agglomeration and environmental regulation. Based on provincial sections in China spanning 2006 to 2020, we explore the effects of industrial agglomeration and environmental regulation on environmental performance, exploiting a two‐way fixed effects model. We also illustrate the potential channels and interactive effects between industrial agglomeration and environmental regulation. The results indicate an inverted U‐shaped nexus between industrial agglomeration and environmental performance, while environmental regulation favors environmental performance. Green innovation, factor allocation, deepening of division of labor, and industrial structure upgrading are plausible channels. Besides, we discover the interaction between industrial agglomeration and environmental regulation, where environmental regulation reduces the inflection point of industrial agglomeration, and industrial agglomeration improves the effectiveness of environmental regulation. Our work sheds light on the synergy between production and governance sides, which offers insights into green transition for China and other newly industrialized economies.

How Can Low-Carbon City Construction Enhance Urban Economic Resilience? A Mechanism Analysis Based on Industrial Agglomeration and Technological Innovation Effects

How Can Low-Carbon City Construction Enhance Urban Economic Resilience? A Mechanism Analysis Based on Industrial Agglomeration and Technological Innovation Effects

ANALISIS PENGARUH AGLOMERASI INDUSTRI, JUMLAH PENDUDUK TERHADAP TINGKAT DISPARITAS PENDAPATAN ANTAR KABUPATEN/KOTA DI PROVINSI JAWA TENGAH TAHUN 2016-2020

This study aims to determine the level of inequality between regencies/cities in Central Java Province, and the influence of industrial agglomeration, population on income disparities in Central Java Province. The data used in this study is secondary data from the Central Statistics Agency (BPS) 2016-2020. The analytical method used is descriptive and regression. Regression analysis using panel data. Economic disparities are calculated by the Williamson Index. The effect of industrial agglomeration and population on income disparity was analyzed using linear regression fixed effect model. The Williamson index value for all districts/cities shows economic inequality that occurs in low criteria, except for Brebes district with moderate criteria. Industrial agglomeration variables and population have a simultaneous effect on income disparities in Central Java Province. Keywords: Economic Disparity, Industrial Agglomeration, Population

Research on the Development, Influencing Factors and Influencing Effects of Industrial Agglomeration in China

Since the rapid development of Chinese society and economy, industrial agglomeration has become an important trend of structural change. In order to help enterprises see the advantages and disadvantages of industrial agglomeration, it is very important to study the causes and effects of industrial agglomeration. Therefore, this paper organizes and proposes the reasons for the agglomeration of the four major industries as well as its positive and negative effects. The research results show that political factors, environmental factors, enterprise advantages and culture, talents and consumption level are the main causes of industrial agglomeration. Moreover, the positive benefits of industrial agglomeration are the sharing of infrastructure, resources and markets and the acceleration of knowledge dissemination and technology exchange. The negative impacts are that they increase the economic risk of the agglomeration area and lead to duplication of construction and waste of resources. For these reasons, the Chinese government should weigh the positive and negative benefits of promoting industrial agglomeration. This paper proposes to explore the causes and effects of industrial agglomeration from a macroscopic perspective, which improves the lack of macroscopic analysis in this field.

Impact of marine industrial agglomeration on high-quality marine economic development: the mediating effect of knowledge spillover

Industrial agglomeration significantly influences economic development; however, its impact on high-quality economic growth within the marine industry remains understudied. We conducted a study using panel data from 11 coastal provinces in China (2008–2020) and used the entropy method to quantify high-quality marine economic development (HQMED). Our study meticulously examines the direct, mediating, and nonlinear effects of marine industrial agglomeration (MIA) on HQMED. The key findings include the following: (1) There is a steady HQMED growth and reduced interprovincial gaps. (2) MIA significantly enhances local HQMED and leads to positive spatial spillover to adjacent regions. (3) The analysis of the mediating effect highlights the pivotal role of knowledge spillover in MIA’s influence on HQMED. (4) Threshold analysis shows significant MIA effects on local and neighboring HQMED using knowledge spillover as a threshold variable. The study’s findings hold theoretical and practical significance and guide MIA’s role in fostering sustainable marine economic development in China.

Public environmental concern, government environmental regulation and urban carbon emission reduction—Analyzing the regulating role of green finance and industrial agglomeration

In the multifaceted realm of environmental governance, emphasizing public environmental participation as an informal regulatory mechanism, alongside the influence of formal governmental environmental regulation on regional carbon emissions, contributes to providing empirical evidence and policy insights for China's “dual‑carbon target” action plan. Using data from 282 prefecture-level cities in China from 2011 to 2020, this research develops an analytical framework for urban carbon emissions encompassing public environmental concern, environmental regulation, green finance, and industrial agglomeration. And through an amalgamation of theoretical insights and empirical validation, the study elucidates the mechanisms by which public environmental concern impact urban carbon emissions. It further delves into the mediating role of environmental regulation and the moderating effects of green finance and industrial agglomeration. It reveals that: (1) Public environmental concern significantly reduces urban carbon emissions, particularly in northern cities, non-environmental protection key cities, and resource regeneration cities. And this suppressive influence is markedly more potent via mobile platforms compared to PC channels; (2) Environmental regulation serves as a partially mediating role between public environmental concern and urban carbon emissions, suggesting that public environmental concern reduces emissions by amplifying governmental environmental oversight; (3) Both green finance and industrial agglomeration play a positive moderating role on the effect of public environmental concern in reducing urban carbon emissions.

High-Speed Railway Opening, Industrial Symbiotic Agglomeration and Green Sustainable Development—Empirical Evidence from China

In recent years, China’s transportation infrastructure has undergone significant changes. High-speed rail, as a new and favored mode of transportation, offers travelers convenience, efficiency, and punctuality, replacing many high-pollution transportation methods. Based on the characteristics of high-speed rail, this paper selects data from 30 provinces spanning from 1999 to 2019. It utilizes the double-difference method to evaluate the impact of high-speed rail opening on economic sustainability. It has been found that the introduction of high-speed rail contributes to economic sustainability during the examination period. The mechanism test also reveals that the opening of high-speed rail promotes green and sustainable development through the industrial agglomeration effect. In addition, the opening of high-speed rail (HSR) has a significant time lag effect and a spatial spillover effect on green sustainable development. The conclusion complements the theoretical framework regarding the impact of high-speed rail on the environment and regional economic sustainability. It also provides guidance for the efficient utilization of high-speed rail, which holds both theoretical and practical importance.