Optimization Of Industrial Structure Research Articles

Can “energy-saving and emission reduction” demonstration city pilot alleviate carbon inequality in Chinese cities?

As a pivotal element in China’s pursuit of a sustainable development model, green fiscal policies have become increasingly important amid the exacerbation of global climate conditions. Regrettably, little attention has been paid to comprehending the carbon allocation effects of the implementation of these policies. This study focuses on the “National Comprehensive Demonstration City of Energy Saving and Emission Reduction Fiscal Policy” (ESER policy) as the focal point of analysis. Using a multi-period difference-in-differences model, we assessed the implications of ESER policies on carbon inequality. This study further explored asymmetry, mechanism effects, and heterogeneity. Our empirical findings demonstrate that the ESER policy directly reduced carbon inequality by 11.4% in the demonstration cities. This conclusion withstood rigorous testing, including parallel trend assessments, robustness analyses, and endogeneity diagnostics. Moreover, the ameliorative implications of the ESER policy on carbon inequality in demonstration cities are predominantly realized by facilitating cleaner production technological innovation, end-of-pipe treatment technological innovation, industrial structure rationalization, and industrial structure optimization. Furthermore, the ameliorative implications of the ESER policy on carbon inequality were conspicuous in the upper quantiles. Finally, the urban magnitude, geographical location, resource endowment, and innovation foundation of a demonstration city exert diverse influences on policy implementation. These empirical results provide valuable guidance for the Chinese government in formulating climate policies with a focus on carbon equity considerations.

Green finance and urban carbon emission dual control: an empirical evidence from China

The Chinese government has proposed shifting the regulation of energy consumption and intensity towards a dual control system of total carbon emissions and carbon emission intensity gradually, aiming to promote the continued role of green finance in optimizing resource allocation. To reveal the impact and mechanism of green finance on urban carbon emissions and intensity in China, this paper constructs a general equilibrium model based on endogenous growth theory and employs a two-way fixed effects model for empirical testing. The study finds that: (1) The development of green finance significantly inhibits both the total carbon emissions and carbon emission intensity of Chinese cities. (2) The impact of green finance on urban carbon emissions and intensity exhibits significant regional heterogeneity. In the northeastern regions of China, southeastern regions of the Hu Line, non-resource-based cities, and areas with higher financial efficiency, green finance can significantly reduce both urban carbon emissions and carbon emission intensity. However, in central and western regions and resource-based cities, green finance only suppresses urban carbon emission intensity. (3) Green finance can reduce urban carbon emissions and intensity through two channels: economic scale expansion and technological advancement, while the channel of industrial structure optimization has not yet shown a significant effect. Through research, it can be found that balancing the differences in green finance and carbon emission functions across regions, while fully optimizing the use and allocation mechanisms of resource elements from aspects such as technological innovation, environmental protection, and energy conservation, can enhance the quality and efficiency of economic development. This is of significant importance for green finance in promoting the realization of dual carbon control.

Research on the Driving Mechanism and Realization Path of High-Quality Development of China's Outdoor Sports Industry under the Perspective of Chinese Modernization

Chinese modernization provides an important theoretical basis and practical guidance for the high-quality development of China's outdoor sports industry. The outdoor sports industry is not only an important part of meeting people's needs for a better life, but also an important means to promote regional economic development and achieve green and sustainable development. Through the method of literature and logical analysis, it was found that the current development of the China's outdoor sports industry still has problems such as imperfect policies and systems, incomplete industrial chains and unbalanced regional development, insufficient scientific and technological innovation capabilities and product homogeneity, weak outdoor sports cultural foundation and inadequate implementation of the green development concept. Therefore, based on the connotation and requirements of high-quality development, the dynamic mechanism of the development of the outdoor sports industry was systematically sorted out combining theory with practice, including policies, market demand, scientific and technological innovation, culture and values, ecology and other dimensions. On this basis, the path to achieve high-quality development of China's outdoor sports industry was proposed, including optimizing the policy system environment, promoting industrial structure optimization, strengthening scientific and technological innovation drive, cultivating outdoor sports culture, and practicing green development concepts. The study believes that building a scientific and reasonable dynamic mechanism and a systematic implementation path are of great significance for promoting China's outdoor sports industry to move towards high-quality development and helping to achieve Chinese modernization.

Can a Higher Level of Digital Economy Help Manufacturing Transition?

Liaoning Province has experienced many years of industrial structure adjustment, but there are still industrial structure contradictions. Since the reform and opening up, the economy of Liaoning Province has been developing steadily, and the prosperous development of tertiary industry has played a positive role in promoting the economic development. The “12th Five-Year Plan” of Liaoning Province clearly puts forward the goal of adjusting the industrial structure, focusing on the supportive role of scientific and technological innovation in industrial upgrading, vigorously developing strategic emerging industries, transforming and upgrading traditional industries, and eliminating backward production capacity. However, the optimization of industrial structure in Liaoning Province has always been a concern for Chinese scholars. In studies since the 1990s, it has been found that the industrial structure of Liaoning province relies too much on heavy industry and capital-intensive industries, and that it needs to further upgrade basic industries and promote the transformation of the industrial structure towards the dominance of primary, secondary and tertiary industries.

Analysis of the Impact of Industrial Land Marketization on Industrial Upgrading

By combing and analyzing the existing literature, this article comprehensively examines positive benefits of industrial land marketization in fostering the optimization and modernization of industrial structure, and reveals its limitations in promoting regional innovation and alleviating land finance dependence. The article finally puts forward a series of targeted policy recommendations based on the research findings, seeking to offer a theoretical foundation and useful guide for the creation of pertinent policies.

Green Transformation of Industrial Structure of Jiaxing City Driven by Synergizing the Reduction of Pollution and Carbon Emissions

The "Implementation Plan for Reduction of Pollution and Carbon Emissions" emphasizes the need to explore mechanisms for pollution and carbon emission reductions, strengthen efforts for synergistic reduction, and accelerate the green and low-carbon development in different types of cities. Thus, this study established a multi-objective optimization model for the industrial structure of the city based on green total factor productivity （GTFP）, which was applied to Jiaxing, an emerging coastal city. The results indicated an overall 8% increase in GTFP across various industries in Jiaxing from 2016 to 2019. The top three economic sectors - chemical products； electricity and thermal production and supply； and communication equipment, computers, and other electronic devices-ranked 12th, 15th, and 5th in GTFP, respectively. Conversely, industries with the top three GTFP rankings-other manufacturing products, specialized equipment, food, and tobacco-ranked 19th, 12th, and 14th in GDP, respectively. Given the mismatch between economic output and environmental benefits among different industries, deepening industrial structure adjustment and promoting synergistic pollution reduction and carbon reduction are imperative. The chemical industry （decreasing by 2%） and the electricity and thermal production and supply industry （decreasing by 1%） crucially need industrial transformation. This can be achieved by setting higher environmental thresholds, reducing the growth rate of fixed asset investment, and curbing the final consumption of these industries to enhance the efficiency of existing facilities. Meanwhile, the service industry （increasing by 5%） should be rapidly developed, while other industries can continue to grow at their current pace. The city-level industrial structure optimization model established in this study can effectively support future decision-making for the dual control of total carbon emissions and intensity, foster new-quality productivity, and promote carbon peaking and green low-carbon high-quality development in different cities.

Research On the Influence of Green Finance on The Optimization and Upgrading of Industrial Structure

Currently, sustainable development has emerged as the prevailing agreement at the national level and serves as the overarching principle driving the social and economic progress of all nations. The optimisation and modification of industrial structure is the central focus of China's green finance development, which plays a crucial role in attaining sustainable development. This study examines the relationship between "green finance" and the "upgrading and optimisation of industrial structure". It considers "technological progress" as a mediator and "openness level, government intervention, human resources, environmental supervision, and urbanisation rate" as control variables. The study aims to investigate the impact mechanism and degree of green finance on the optimisation and upgrading of industrial structure. This study presents specific recommendations based on the findings of the empirical analysis. The aim is to provide guidance for the government in formulating policies and regulations, making institutional decisions, and improving China's industrial structure. These recommendations also aim to promote sustainable and high-quality economic development.

Does environmental regulation promote urban economic resilience? A case of China's Yangtze River Economic Belt

Environmental regulation is an essential issue affecting urban economic resilience(UER) as it balances sustainable development and environmental protection. This paper uses a fixed effects model to analyze the impact of environmental regulation on UER in the Yangtze River Economic Belt. The results show that the strengthening of environmental regulation can positively enhance UER, and this positive effect is attributable to a boost in industrial structure optimization. Regional heterogeneity is manifested by the most significant effect in the midstream region. The findings contribute to enhancing the UER in developing countries to provide theoretical support and policy implications for future economic sustainable development.

Is “Intelligence” More Capable of Promoting the Development of the Tertiary Industry? — Analysis of the Impact of Artificial Intelligence on Different Categories of Industries

In the new scientific and technological revolution round, artificial intelligence (AI) technology has become a key leading force for industrial change. Research shows that AI not only promoted technical transformation and industry upgrades but also played a significant role in the rapid development of emerging industries. Based on the installed number of industrial robots and the industrial data by the National Bureau of Statistics, this study establishes a theoretical framework with the econometric model and compares the impact of AI on different categories of industries through empirical analysis. Our results show that AI not only promotes economic growth but also plays a key role in promoting the tertiary industry. Hence, optimization of industrial structure and economic upgrade can be induced.

Influencing mechanisms of renewable energy development on carbon emission intensity in China

Faced with increasingly severe climate and energy crises, promoting renewable energy development has become an inevitable choice for realizing carbon reduction strategy and energy structure transformation. This paper selects the panel data of 30 provinces in China from 2001 to 2021 and constructs a dynamic spatial Durbin model to study the effect of renewable energy development on carbon emission intensity. The study shows a significant positive spatial correlation between renewable energy development and carbon emission intensity in Chinese provinces. Renewable energy development can significantly reduce carbon emission intensity, and affect the carbon emission intensity of neighboring regions through spatial spillover effects in both the short and long term. In the central-western and southern regions, energy-rich regions, regions with high levels of environmental pollution, high levels of fiscal decentralization, and high levels of green finance, the inhibitory effect of renewable energy development on carbon emission intensity is more significant, suggests that its impact effects are characterized by heterogeneity. Enhancing energy use efficiency, promoting industrial structure optimization, and strengthening green technology innovation capability can significantly improve the inhibition effect of renewable energy development on carbon emission intensity.

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”.

Digital financial inclusion and public service equalization

While digital technologies transform financial servicesglobally, research examining their impact on public resource distribution remains limited, especially regarding regional variations in effectiveness. Prior studies have separately addressed digital finance adoption or public service delivery, neglecting their interconnected role in development. Analyzing Chinese provincial data (2011–2021) through fixed effects and instrumental variable approaches, we find that digital financial inclusion significantly enhances public service equity, particularly in regions with advanced innovation capabilities and established technological infrastructure. Our analysis reveals two key mechanisms: reduced metropolitan-rural disparities and industrial structure optimization, with effects most pronounced in eastern provinces and high-innovation regions. The findings show that both service accessibility and usage intensity contribute to balanced resource allocation, though effectiveness varies substantially with regional innovation capacity. These results indicate that technological advancement in financial services can promote regional equity when aligned with local innovation capabilities, providing strategic insights for policymakers developing targeted digital finance initiatives across diverse development contexts.

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.

Exploring the impact of low-carbon city pilot policy on urban ecological welfare performance: A quasi-natural experiment in 282 Chinese cities

Ensuring urban ecological welfare performance through low-carbon city pilot policy is essential for building sustainable and livable cities with human well-being as the priority. However, current research often emphasizes carbon emission reduction while overlooking a comprehensive evaluation of ecological welfare performance. This study examines the impact of low-carbon city pilot policy on ecological welfare in 282 Chinese cities from 2001 to 2021, employing a double fixed-effects model and propensity score matching difference-in-differences approach. The results show that (1) the low-carbon city pilot policy significantly enhances urban ecological welfare performance on the whole. (2) The policy positively affects environmental performance in non-resource-based and non-old industrial cities, while showing no significant impact in resource-based and old industrial cities due to their economic dependencies and structural challenges. And (3) optimizing industrial structure is vital for advancing low-carbon city pilots policy as it supports technological innovation in companies. This paper recommends interventions focused on industrial structure optimization and technological innovation to enhance urban low-carbon development and ecological welfare.

Study on the Influence of Green Credit on the Optimization of Industrial Structure ——Empirical Analysis Based on the Pearl River Delta region

Green credit will have a significant impact on the optimization of the industrial structure under the "double carbon" target. This paper first describes the literature review on green credit and industrial structure optimization, then it presents the field's current state of development, employs the two-way fixed effect model to test the relationship between the two empirically, and performs heterogeneity analysis and a robustness test on the model. This paper concludes by offering some countermeasures and recommendations to strengthen the promotion of green credit to industrial structure optimization, advance industrial structure optimization in the Pearl River Delta region through industrial policy guidance, and employ other strategies.

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.