Optimization Of Industrial Structure Research Articles

The Spatial Effect of Digital Economy Enabling Common Prosperity—An Empirical Study of the Yellow River Basin

The digital economy enhances economic efficiency and improves economic structure, driving economic growth through transformations in efficiency, momentum, and quality. It has become a new driving force for advancing common prosperity. This study uses SDM, SDID, and SPSTR models to explore the impact of digital economy on common prosperity, which constructs the index system to evaluate the common prosperity from process index and outcome index. According to the panel data of 76 cities in the Yellow River Basin from 2011 to 2021, and the findings are as follows: (1) The digital economy exhibits a development pattern characterized by high activity downstream and lower activity upstream, and the development trend is stable. The development pattern of common prosperity has changed from sporadic distribution to regional agglomeration, and the level of common prosperity in most cities has improved. (2) The digital economy has a significant positive spatial effect on common prosperity. And the findings are robust after introducing the “Big Data” exogenous policy impact, dynamic SDM model, and other methods. Moreover, spatial heterogeneity exists. The promotion effect in the upper and lower reaches is stronger, while the middle reaches are weakly affected by the digital economy. (3) The spatial spillover effect of the digital economy on common prosperity has a boundary, and the positive spillover reaches a maximum value at 600–650 KM. (4) Nonlinear analysis confirms that the digital economy provides momentum for common prosperity industrial structure optimization that can effectively stimulate the “endogenous” growth mechanism, strengthen the marginal increasing effect of the digital economy driving common prosperity and enhance the effect of “making a bigger pie”. The digital economy makes effective use of digital resources and technologies, promotes the equalization of public services, exerts a positive impact on the realization of common prosperity, and consolidates the effect of “dividing a better cake”.

Fostering Inclusive Green Growth in Chinese Cities: Investigating the Role of Artificial Intelligence

In the new round of global technological revolution and industrial transformation, artificial intelligence (AI) provides an opportunity to foster urban inclusive green growth (IGG). On the basis of scientifically measuring the IGG level and AI development level of Chinese cities from 2010 to 2022, this paper systematically explores the impact and internal mechanism of AI on IGG. This study finds that AI development significantly promotes urban IGG, and this conclusion still holds after a series of robustness and endogeneity tests. The effect of AI on IGG will exhibit heterogeneity because of differences in urban characteristics such as government financial support, information infrastructure development, and innovation and entrepreneurship vitality. Mechanism test reveals that AI development fosters urban IGG through digital technology innovation and industrial structure optimization. Furthermore, AI development has a positive spatial spillover effect on IGG in neighboring cities. This study provides valuable theoretical insights and policy ideas for planning in emerging economies to promote high-quality economic development and ecological civilization through the application of AI technology.

The Effect of Digital Economy on Rural Environmental Governance: Evidence from China

Exploring the inherent mechanisms by which the digital economy fosters rural environmental governance holds paramount importance for driving the sustainable development of rural regions and elevating the living standards of rural residents. Drawing upon theoretical frameworks and extensive literature reviews, we have devised comprehensive indicator systems for quantifying the development trajectory of the digital economy and the efficacy of rural environmental governance, employing the entropy method for measurement. Leveraging panel data that spans from 2011 to 2022, encompassing 31 provinces across China, we empirically delve into the influence of the digital economy on rural environmental governance, along with its underlying mechanisms, by employing a fixed effects model. The baseline regression results reveal that the development of the digital economy can significantly promote the improvement of rural environmental governance, even after considering potential endogeneity issues. Moreover, the test results of the mediation effect show that the digital economy can enhance the level of rural environmental governance by accelerating industrial structure optimization and improving green technology innovation. Furthermore, the test result of the regulatory effect implies that the urban–rural dual structure may inhibit the positive effect of the digital economy on rural environmental governance. Additionally, there exists regional disparities in which the digital economy influences rural environmental governance, with the eastern region exhibiting a more pronounced effect compared to other regions.

Study on the complex relationship of tourism-economy-ecological environment in arid zones: the case of Xinjiang, China

The synergistic integration of tourism, the economy, and the ecological environment within a region is crucial for promoting its sustainable development. Tourism acts as a catalyst for green economic growth, yet varying levels of tourism development can intensify the strain on the ecological environment. Thus, achieving a Pareto optimal balance among the benefits of these three entities holds significant theoretical and practical relevance. This research utilizes statistical data spanning from 2000 to 2021 to devise a tourism-economy-ecological environment (TEE) indicator system for Xinjiang. The study employs a coupled coordination model to analyze the spatial and temporal coupling dynamics between subsystems and to classify the types of coupled coordination. The analysis also identifies obstacles that impede the degree of coordination. The findings indicate that during the period under investigation, the TEE system in Xinjiang experienced consistent growth. However, the tourism subsystem exhibited disparate development and pronounced resource monopolization, which stimulated the economic subsystem’s growth, albeit with noticeable developmental lags in the latter stages. Spatially, economic performance demonstrated a declining trend from core urban centers like Urumqi City and Karamay City towards peripheral areas. From an ecological perspective, the distribution of resources exhibited a heterogeneous “M-V-W” pattern, characterized by significant disparities in the availability of natural resources and the occurrence of localized ecological deterioration. There is a notable and increasing degree of coupled coordination in regional synergistic development, which is primarily manifested in the delayed development of tourism. The combined development of the three subsystems is influenced by some factors, including environmental pollution, resources, economic quality, and industrial structure. Soot emissions, green space per capita in parks, and sulfur dioxide emissions are identified as key constraints. This study provides theoretical backing and empirical evidence for economic growth, the optimization of industrial structure, and the preservation of the ecological environment in arid and semi-arid regions globally.

Study on Regional Economic Effect of "West-East Power Transmission"

There is a certain mismatch between China's energy distribution and economic development. In this regard, the "West-East Power Transmission" project has optimized the allocation of China's power resources by exploiting the energy potential of the west. Based on the relevant economic data of 31 provincial administrative units in China from 1995 to 2018, combined with theoretical mechanism analysis, this paper hopes to explore the regional economic effect of "west point to East transmission" by designing a dynamic two-way fixed effect DID model divided into input and output areas. It is found that the policy of "power transmission from west to East" has no significant promoting effect on the whole, but has significant promoting effect on the economy of the import area in the medium and long term. In the input area, it mainly improves the output value of the tertiary industry and promotes the optimization of industrial structure. In addition, the heterogeneity robust estimators of de Chaisemartin and D 'Haultfoeuille were also used to estimate the policy effect at the input site, and the results were similar to those of dynamic TWFE.

Research on the Development Path of Rural E-Commerce in Supporting Rural Revitalization

With the rapid development of information technology, rural e-commerce is playing an increasingly important role in promoting rural economic growth, increasing farmers' incomes, and driving rural revitalization. This paper begins by defining rural e-commerce and analyzing its characteristics, current development status both domestically and internationally, and exploring the close connection between e-commerce and rural revitalization. By investigating multiple development paths through which rural e-commerce supports rural revitalization-including industrial structure optimization, market expansion for agricultural products, development of rural human resources, and improvement of information infrastructure—this paper reveals the critical role of rural e-commerce in achieving the goals of rural revitalization. Additionally, it presents relevant policy recommendations and solutions to the challenges faced by rural e-commerce development while forecasting future trends in rural e-commerce.

Study on the influence of global tourism development on the upgrading of county industrial structure

Taking the global tourism as an important grasp, promoting the tourism to the industrial structure optimization and economic development of the driving force, is conducive to the high-quality development of China's county economy. Based on the panel data of 255 demonstration counties of global tourism in 30 provinces in China from 2012 to 2020, and on the basis of analyzing the correlation between the two, this paper empirically tests the relationship between the development of global tourism and the upgrading of county industrial structure by using static panel model and systematic GMM estimation method. It is found that the development of global tourism has a positive and significant impact on the upgrading of county industrial structure, and there are significant differences in this effect between the eastern, central and western regions of China. Therefore, this paper puts forward some countermeasures and suggestions to promote the upgrading of county industrial structure through the development of global tourism.

Accelerating decarbonized economic growth through net-zero entrepreneurship: Low-carbon economic development perspective

Net-zero entrepreneurship is a novel concept introduced in the context of carbon neutrality, and exploring whether it can catalyze decarbonized economic growth is a worthy pursuit. This study constructs a comprehensive, low-carbon endogenous economic growth model to scrutinize the intricate nexus between net-zero entrepreneurship and decarbonized economic growth. Empirical validation employs a series of multiple regression models to rigorously test the hypotheses derived from the theoretical framework using an extensive dataset spanning Chinese provinces. The results reveal a nuanced landscape. (i) Net-zero entrepreneurship plays a remarkable role in promoting decarbonization growth, with considerable regional heterogeneity. (ii) Green technology progress exhibits a notable mediating effect. (iii) Environmental regulation and industrial structure optimization have positive moderating effects. (iv) The results passed alternative dependent variable and one-phase lag regression robustness tests. In a distinct contribution to entrepreneurship literature, this study augments the discourse on strategies to steer low-carbon transitions. The research findings indicate that net-zero entrepreneurship can accelerate the global decarbonization process, and green technology progress is a significant driving mechanism in this process. Additionally, it is essential to strengthen environmental agencies’ regulatory oversight and optimize industrial structures to pave the way for transformative sustainable growth. In the future, more entrepreneurs should be encouraged to engage in green technology and business model innovation to contribute to global decarbonization efforts.

Impact of Environmental Regulation on the Resilience of Marine Economy: A Case Study of 11 Coastal Provinces and Cities in China

Enhancing marine economic resilience is a necessary response to both domestic and international shocks, and it is also key to achieving the sustainable development of the marine economy. In recent years, rising uncertainties both domestically and internationally have posed significant challenges to the resilience of China’s marine economy. In response, China has continuously strengthened its environmental regulations, influencing the resilience of its marine economy through various environmental regulations. This paper measures marine economy resilience index using panel data from 11 coastal provinces and municipalities in China from 2010 to 2019. It empirically examines the direct impact, spatial spillover effects, and mediating mechanisms of environmental regulations on marine economy resilience. The results show that: (1) Environmental regulations significantly enhance the resilience of the marine economy. Among the various environmental regulation tools, command-and-control regulations have a stronger effect in promoting marine economic resilience compared to market-incentive regulations. (2) Environmental regulations exhibit spatial spillover effects in enhancing marine economic resilience, and the spatial influence of different regulatory tools is heterogeneous. (3) The optimization of marine industrial structure serves as a crucial avenue for environmental regulations to enhance the resilience of the marine economy. This study offers theoretical support and a scientific basis for the adjustment and optimization of environmental regulations and the enhancement of marine economic resilience, while also contributing to the sustainable development of the marine economy.

The impact of financial resource allocation on industrial structure change

Financial resources play a vital role in resource allocation and industrial structure change. This paper aims to explore the impact of financial resource allocation on industrial structure change and put forward relevant theoretical and policy recommendations. This paper first reviews previous research results and explains the importance of financial resources in shaping industrial structure. Then, based on the theoretical framework, the impact mechanism of financial resources on the development and competitiveness of different industrial sectors is analyzed. The study found that the rational allocation of financial resources helps to promote the optimization and upgrading of industrial structure and improve overall economic benefits. The government's financial policies have also been proven to have an important impact on industrial structure change, and a healthy financial market can promote the sustainable development of industrial structure. Through case study analysis, the actual impact of financial resource allocation in different industries and regions is deeply explored to provide empirical support for the theoretical model. In summary, this study emphasizes the key role of financial resources in shaping the modern industrial structure and provides important inspiration for future research and policy making.

Research on the impact of regional innovation capability on high-quality economic development in Anhui Province

This study aims to explore the impact mechanism of regional innovation capabilities on high-quality economic development in Anhui Province. By systematically sorting out relevant theoretical and empirical research at home and abroad, the main problems faced by Anhui Province in improving regional innovation capabilities are analyzed, and corresponding countermeasures and suggestions are put forward. The research uses multiple methods such as literature review, statistical analysis and case analysis to comprehensively evaluate Anhui Province's innovation capabilities and economic development status. The results show that Anhui Province has made significant progress in the field of scientific and technological innovation, but it still faces challenges such as poor economic structure, uneven regional development, and talent shortage. The study found that innovation capabilities play a key role in promoting high-quality economic development in Anhui Province, and significantly improve the quality of economic growth by promoting industrial structure optimization, technological progress and production efficiency improvement. Based on this, this study puts forward specific suggestions such as strengthening government policy support, increasing investment in scientific research, optimizing the innovation environment, and promoting industry-university-research cooperation to further enhance Anhui Province's regional innovation capabilities and promote high-quality economic development. The research conclusions not only have important practical significance for Anhui Province, but also provide useful reference for other regions.

Blessings or curses? Exploring the impact of digital technology innovation on natural resource utilization efficiency in China

With the increasing resource and environmental constraints and pollution, China urgently needs to improve the condition of resource utilization. Digital technology innovation is a powerful tool for resource optimization. Therefore, this paper explores the impact of digital technology innovation on natural resource utilization efficiency (NRUE) in China from 2006 to 2019 with the system-generalized method of moments (SYS-GMM). Besides, we investigate the mechanism and heterogeneity. The main conclusions show that: (1) Digital technology innovation can significantly improve NRUE. Every 1% rise in digital technology innovation causes a 0.024% increase in NRUE; (2) digital technology innovation can indirectly improve NRUE by promoting industrial structure optimization, strengthening pollution control, and promoting green credit; and (3) heterogeneity exists in the digital technology innovation-NRUE nexus, and the effects are more obvious in digital product manufacturing and northern China. The findings enrich the existing literature and provide enlightenment for the use of digital technology to improve NRUE in China.

WITHDRAWN: The impact of renewable energy development on regional carbon emission reduction: Based on the spatio-temporal analysis of 30 provinces in China

The development of renewable energy has become an important means for the world to cope with climate change, ensure energy security and protect the ecological environment. Using the panel data of 30 provinces in China from 2013 to 2021, this paper used the mediating effect model and the spatial Durbin model (SDM) to explore the mechanism and spatial effects of renewable energy development on carbon emission reduction. The results show that: (1) The results of mechanism analysis show that renewable energy development reduces carbon intensity by improving energy structure, promoting industrial structure optimization and industrial structure upgrading. (2) Renewable energy development can not only reduce the local carbon intensity, but also have a positive spillover effect on the carbon intensity of neighboring regions. (3) Further analysis shows that renewable energy development has a dynamic effect on carbon emissions. The heterogeneity analysis shows that compared with the Yellow River basin, renewable energy development significantly influences carbon emission reduction in the Yangtze River Economic Belt region. Energy-rich areas fall into the "resource curse", which makes renewable energy development’s carbon emission reduction effect not significant. This paper has certain reference significance for promoting reasonable decomposition between regions and formulating renewable energy development policies.

Steering toward sustainability: Can dual circulation development mitigate CO2 emissions? —Evidence from China

To reduce greenhouse gas emissions and achieve high-quality economic development, China has proposed another development pattern called dual circulation development (CIR), along with the goals of “carbon neutrality and carbon peaking”. Based on the data of prefecture-level cities and above from 2006 to 2021, the fixed-effects model, 2SLS model, mediation model, threshold model, and spatial Durbin model are used to discuss the role of CIR in affecting CO2 emissions. Results demonstrate that (1) the overall CO2 emissions exhibit a decreasing trend from 2006 to 2021, and the CIR presents an upward trend. CIR and CO2 emissions show apparent geographical differences. (2) CIR effectively reduces CO2 emissions, and this effect exhibits clear heterogeneity of different regions, resource endowment, and pilot free trade zone. CIR mitigates CO2 emissions by enhancing technological innovation and promoting human capital mobility. Market scale and industrial structure optimization act as a “magnifying glass”, amplifying the impact of CIR on reducing CO2 emissions. (3) The negative spatial spillover effect of CIR on CO2 emissions shows a “V” shape characterized by strengthening and then weakening in the range of 0–700 km. At this point, the 700 km mark represents the decay boundary. Findings suggest that the government should enhance the domestic market environment and improve the quality of foreign trade to fulfill the role of CIR in mitigating CO2 emissions. These empirical evidence and feasible measures are provided for some countries to reduce CO2 emissions while promoting economic development.

New-type infrastructure and urban economic resilience: Evidence from China

Rising global uncertainties pose challenges to the resilience of economic development, and new-type infrastructure, referring to a system that is supported by next-generation information technology, can be a crucial stabilizing factor in the digital era to overcome uncertainties. This study uses 5244 observations from 276 cities in China from 2003 to 2021 to investigate the impact of new-type infrastructure on urban economic resilience. The empirical findings indicate that new-type infrastructure can effectively enhance regional economic resilience, and urban economic resilience can be improved in the digital age. New-type infrastructure can effectively mitigate the adverse impact of Corona Virus disease 2019 (COVID-19) on economic resilience. The effect of new-type infrastructure on economic resilience is larger in central regions, cities with medium and large economic scales, and cities with well-developed traditional infrastructure. New-type infrastructure exhibits threshold effects with changes in mechanism variables, decreasing as the threshold of resource dependence is crossed and increasing as the threshold of capital deepening and human capital is crossed. New-type infrastructure can enhance economic resilience by promoting innovation, including digital and green innovation. In addition, new-type infrastructure can cultivate emerging industries, advance industrial structure optimization, and promote collaborative agglomeration, which also contributes to enhancing economic resilience.

Digital economy spillover on energy saving and emission reduction: Evidence from China

Digital economy spillover (DES) measures the real impact of the digital economy. This study analyzes the theoretical mechanism of DES affecting energy saving and emission reduction. Selecting balanced panel data of 30 provinces (autonomous regions and municipalities directly under the Central Government) in China from 2003 to 2022, we constructed a comprehensive DES index and empirically analyzed its impact on energy saving and emission reduction and the mechanism of this impact by fixed effect model. Our results suggest that DES has a significant emission reduction and energy-saving effect. The results of mechanism analysis show that DES can result in energy saving and emission reduction by promoting industrial structure optimization and enhancing technological innovation capacity. In addition, the impact of DES on energy saving and emission reduction is influenced by various factors, such as geographical conditions, the level of economic development, and performance assessment, exhibiting evident heterogeneity.

The Influence of Rural Ecological Environment Development by China's Industrialization Process

This article aims to solve the problem of heavy pollution load in rural ecological environment at present. This article elaborates on the relevant concepts and theories of rural industrialization and ecological environment protection, mainly using a combination of qualitative and quantitative methods to analyze the current situation of rural ecological environment pollution in the research area. The research results indicate that the current rural ecological environment pollution load in China is heavy and severe, especially the use of fertilizers, pesticides, agricultural plastic films, livestock and poultry breeding, rural life, and township enterprise production, which have caused varying degrees of harm to the regional rural ecological environment. Therefore, effective measures must be taken to achieve the organic combination of rural industrialization and ecological environment protection. This article provides guidance for promoting the optimization and upgrading of rural industrial structure, achieving a win-win situation of economic and ecological benefits.

To Push Forward the Integrated Reform in An All-Round Way and Focus on Building A Strong Province in The Digital Economy

This paper, taking Dalian as a case study, delves into the strategic pathways and practical strategies for comprehensively advancing integrated reform and jointly striving to build a digital economy powerhouse province. It first analyzes the significance of the digital economy as a new engine for global economic growth, along with Dalian's foundational advantages and potential challenges in its digital transformation journey. Subsequently, from various dimensions such as policy guidance, technological innovation, industrial upgrading, and business environment optimization, the paper elaborates on how Dalian is leveraging integrated reform measures, including enhancing cross-departmental collaboration, promoting open sharing of data resources, and constructing a digital economy ecosystem, to accelerate the deep integration of digital technologies with the real economy, thereby promoting industrial structural optimization and upgrading, and enhancing regional competitiveness. The paper also emphasizes Dalian's key initiatives in nurturing and attracting talents, strengthening infrastructure support, and advancing smart city and digital government construction during its pursuit of becoming a digital economy powerhouse, and how these initiatives provide strong momentum for the high-quality development of Dalian's, and by extension, its province's, digital economy. Through case studies and practical summaries, this paper offers a series of replicable and scalable experiences and models, providing valuable insights for other regions to advance their own digital economy integration reforms.

Can the resource and environmental dilemma due to water-energy-carbon constraints be solved in the process of new urbanization?

The rapid development of basin resource-based cities (BRCs) in developing countries have led to severe resource and environmental problems centered on the “water-energy-carbon” (WEC) nexus. Based on their spatiotemporal evolution, WEC constraints are evaluated via a multidimensional coupling coordination degree (CCD) mode. Resource-environmental efficiency (REE) under these constraints is measured via the superefficiency SBM model. The path of resource and environmental improvement via new urbanization (NU) is discussed based on the spatial econometric model. Water resource consumption in the BRCs decreased by 12.22 %, but energy consumption and carbon emissions increased by 20.1 % and 70.05 %, respectively, and the CCD of the WEC nexus showed a “highly coordinated - seriously imbalanced” change. Therefore, the REE increase of 44.03 % was unsustainable. NU improved REE and reduced water resource consumption but did not reduce energy consumption or carbon emission, and there is significant regional variability. Scientific and technological innovation, economic agglomeration and land structure diversity contributed to the resource-environmental improvement effects of NU, but optimized industrial structures and environmental governance had masking effects. The policy implication is that during NU, efficiency gains must be combined with policies to promote industrial structure optimization and environmental governance and thus achieve sustainable urban development.

Green finance and environmental pollution: Evidence from China

Green finance has emerged as a vital tool in addressing the dual imperatives of environmental protection and economic growth. This study investigates the relationship between green finance initiatives and environmental pollution in China. Drawing on urban data spanning from 2006 to 2021, we employ a comprehensive analysis to discern the impact of green finance policies on mitigating environmental degradation. Our findings highlight the pivotal role of green finance in reducing pollution through channels such as industrial structure optimization, energy mix transformation, and the promotion of green technology. Moreover, we identify specific conditions under which green finance interventions prove most effective, including regions characterized by robust digital economy development, competitive commercial banking, and stringent government environmental regulations. By shedding light on the nuanced interplay between green finance and environmental outcomes, this research underscores the importance of targeted policy measures in fostering ecological sustainability within China's evolving economic landscape.