Evolution Of Industrial Structure Research Articles

Study on the Promotional Effect and Mechanism of New Quality Productive Forces on Green Development

The new quality productive forces have the potential to spur both the green transformation of the industrial structure and innovative advances in green technology, which will further strengthen the foundation for sustainable growth. This study analyzes panel data from 30 provinces between 2012 and 2022 to build an evaluation system for new quality productive forces and green development at the provincial level. The entropy weight TOPSIS approach is used to assign weights to each indicator. Methods including fixed effects, mediation effects, and spatial econometrics are used to examine the contribution of new quality productive forces to green development and its mediation mechanism. The study finds that: (1) New quality productive forces significantly promote green development, and the conclusion still holds after a robustness test using the instrumental variables method and excluding municipalities. (2) The new quality productive forces contribute significantly to green development by improving technology and optimizing industrial structure. (3) The new quality productive forces not only directly enhance the green development level of the region, but also positively influence the green development level of the neighboring regions through the spatial spillover effect. (4) The eastern and central regions are more affected by new productivity in terms of green development. Based on these, efforts should be made to develop new quality productive forces, increase technological research and investment, and promote the development of industrial structure to be more environmentally friendly and efficient to promote green development.

Characterization of Industrial Carbon Emission Dynamics and Network Structure Evolution in China

Given that industry is the major source of carbon emissions, clarifying the carbon transfer regularity triggered by industry production linkage is of great importance in realizing the synergistic development of industry to reduce pollution and carbon emissions. Based on the perspective of responsibility allocation, the study accounted for the industry carbon emissions and constructed a carbon transfer weighted directed network model and applied the social network analysis method to explore the structure of the industry carbon transfer network and its evolution characteristics from 2005 to 2020. The results showed that： ① The overall carbon emissions of industries from 2005 to 2020 presented a rapid growth trend and large differences occurred in emissions between industries. ② The scale of the carbon transfer network was expanding rapidly and the characteristics of the small-world network were significant. ③ The community structure of the carbon transfer network was obvious, including four optimal associations： high carbon emission, carbon transmission, carbon endogenous, and high spillover. ④ The construction industry and the metal smelting and rolling processing industry were the core of the carbon transfer network structure, with strong network control. In view of the above characteristics, we proposed countermeasures and suggestions in terms of implementing the allocation of carbon emission reduction responsibilities and differentiated emission reduction measures for associations as well as focusing on the management of core nodes of the network, with the intent of providing cross-sectoral synergistic emission reduction ideas for the development of sustainable low-carbon transformation in China's industry sector.

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.

Does Industrial Structure Upgrading Promote China’s Outward Foreign Direct Investment (OFDI) in ASEAN Countries? Evidence from Provincial Panels

Numerous studies have explored the impact of Outward Foreign Direct Investment (OFDI) on upgrading industrial structures in home countries. However, a notable gap exists in the literature regarding the reverse relationship. Based on the cross-border greenfield investment data of Chinese provinces in Association of Southeast Asian Nations (ASEAN) countries from 2003 to 2021, this study employed the Ordinary Least Squares (OLS) model to evaluate the impact of industrial upgrading in each province on OFDI to address this gap. The findings suggest that China’s industrial structure upgrading significantly promotes OFDI toward ASEAN countries, though the effect varies by region within China and by the income levels of host countries. Regionally, industrial upgrading in eastern China notably stimulates OFDI growth, while the effect is not significant in the central and western regions, reflecting inconsistent evolution of industrial structures in various regions. Regarding host country income levels, the promotion effect of industrial structure upgrading on OFDI is influenced by the economic development level of the host country. Furthermore, we find that R&D intensity acts as a moderator that links industrial structural upgrading to OFDI responses. These findings withstand robustness checks, including tests for endogeneity. Ultimately, this study provides policy insights for strengthening the virtuous cycle between industrial upgrading and OFDI.

A study on the relationship between high-quality development of the logistics industry and rural revitalization across different levels of industrial structure

Due to regional differences in industrial structure levels, the development of the logistics industry in rural areas faces various challenges and opportunities. The objective is to explore how the high-quality development of the logistics industry influences rural revitalization at various tiers of industrial structure. It employs a benchmark regression model to dissect the influence that the logistics industry's high-quality development exerts on fostering rural revitalization. Moreover, a panel threshold model is employed to examines this impact across different levels of industrial structure. It demonstrates that enhancing the logistics industry significantly supports rural revitalization, with its impact varying across different levels of industrial structure. Hence, it is imperative to develop customized strategies for the logistics industry that account for the varying industrial structure in rural areas. It emphasizes the logistics industry's role in facilitating rural growth and recommends adopting tailored development strategies corresponding to the industrial structure's evolution to boost rural revitalization. Despite valuable insights, this study has limitations in reflecting regional trends and exploring other factors beyond the direct impact of logistics on rural revitalization, pointing to potential avenues for future research.

Are spatial imbalances in industrial structural change widening the common wealth gap?

The evolution of China's industrial structure from 2010 to 2021 is assessed based on the rationalization and sophistication of its industries. The Theil index quantifies spatial variability, while the Quadratic Assignment Procedure (QAP) investigates if changes in industrial structure imbalance will increase wealth disparity. The study's findings indicate a noticeable spatial imbalance in industrial structure change. The overall level of common wealth is low but steadily increasing, following a stepped-down structure of "east-center-west." Additionally, the north and south regions exhibit a pattern of "high in the north and low in the south." There is a pattern of higher values in the north and lower values in the south. In terms of common wealth and its dimensions, there is a ladder-like pattern with high values at the core decreasing towards the west. Between 2010 and 2021, the common wealth development shifted from a lower level to a higher one. Beijing, Jiangsu, and Shanghai constantly ranked in the top echelon, while Guangxi remained in the fifth echelon. The speed and difficulty of transitioning between echelons vary. Moving from the fourth echelon to the third echelon takes longer, while transitioning from the third echelon to higher echelons presents tougher challenges. Spatial imbalances in industrial structure changes widen the gap in common wealth. In particular, the impact of the gap in the advanced industrial structure on the common wealth gap is significantly higher than that of the gap in industrial rationalization. Reducing disparities in advanced industrial structure is more effective in reducing the overall wealth gap.

Enhancing Industry Evolution: The Role of Digital Inclusive Finance in Optimizing and Upgrading the Industrial Structure

The upgrading of digital inclusive finance has markedly enhanced the financing and operational milieu for small and micro enterprises (SMEs), exerting a pivotal influence on the optimization of the national industrial structure. This paper leverages panel data spanning from 2011 to 2020 across 30 provincial-level administrative regions within China to scrutinize the ramifications of digital inclusive finance on the amelioration and elevation of the industrial framework. It endeavors to assimilate the construct of digital inclusive finance into the analytical paradigm concerning the evolution of industrial structures, embarking on a dual-faceted investigation from both theoretical constructs and empirical evidences to elucidate the dynamics between digital inclusive finance and the upgrading of China’s industrial structure. The empirical outcomes underscore that digital inclusive finance substantially fosters the refinement of the industrial architecture, particularly accentuating its positive leverage on the rationalization of industrial structure. Subsequent explorations reveal a regional heterogeneity in the facilitative effects of digital inclusive finance on industrial structure optimization and upgrading, with more pronounced significances identified within the central and western regions of China. Moreover, it is discerned that divergent domains of digital inclusive finance impart differential impacts on the optimization efficacy of the industrial structure. This discourse not only augments the scholarly dialogue on digital finance and industrial progression but also proffers empirical insights for policy formulations aimed at harnessing digital inclusive finance as a strategic instrument for economic augmentation and industrial sophistication.

The Change of Demand Structure and the Dynamic Evolution of Industrial Structure in China—On China’s Deindustrialization Issues

The Change of Demand Structure and the Dynamic Evolution of Industrial Structure in China—On China’s Deindustrialization Issues

Influence of Foreign Direct Investment on Economic Growth in Fujian Province

This paper aims to study the influence of foreign direct investment on economic growth in Fujian Province, and explore its mechanism and effect. As a form of transnational capital flow, foreign direct investment not only brings capital and technology to Fujian Province, but also promotes the development of industrial structure upgrading, employment increase and international competitiveness improvement. In the context of global economic integration, exploring the contribution of FDI to Fujian's economic growth will help deepen the understanding of global economic interaction and provide references and suggestions for relevant policy making. The research method is mainly based on the analysis of the statistical data of FDI in Fujian Province, combined with relevant economic theories and empirical research, in order to comprehensively and systematically evaluate the impact of FDI on economic growth in Fujian Province. Through the research findings, we can provide valuable references for government departments, enterprises and academia to formulate and optimize policy measures to attract foreign direct investment and promote the sustainable development of Fujian Province's economy.

The Relationship Between a Green, Low-carbon and Recycling Economy, Economic Policy and Industrial Structure Development

This article critically examines Charles Bonnet’s seminal contributions to experimental science, particularly through his influential work, ‘Research on the Use of Leaves.’ The primary objective is to delineate the functions and forms of natural experimentation as they were understood and practiced in the mid-18th century. During this period, scientists esteemed experimentation as the zenith of scientific proof, acutely cognizant of its multifaceted functional and typological aspects. Their methodology was characterized by a detailed narration of research methodologies, fostering a ‘rhetoric of transparency’ in scientific discourse. Nevertheless, the advent of new norms in scientific discourse during the 19th century, coupled with a paradigmatic philosophical shift in the 20th century, resulted in the marginalization of empirical practices of the Enlightenment era. Contemporary historians are now endeavoring to reconcile significant terminological discrepancies and to recontextualize the divergent methodologies among natural historians of that epoch. This involves a critical distinction between exploratory and demonstrative (or discriminant) forms of experimentation. Bonnet’s systematic preference for discriminant experimentation serves as a quintessential example of the logical approach in natural history. However, this perspective does not wholly represent the 18th-century ‘art of observation,’ which embraced a plethora of methodologies including taxonomy, anatomical dissection, chemical analysis, and physical measurements.

Can industrial structure optimization and industrial structure transition both lead to carbon lock-in mitigation? The case of China.

The optimization and transition of the industrial structure help improve the quality of the economy, moving it toward low-carbon development. By using the Instrumental Variable Generalized Method of Moments model and a city-level dataset covering the period 2006-2019, this paper explores the carbon lock-in mitigation effects of industrial structure optimization and industrial structure transition, respectively. The heterogeneity and the synthetic industrial structure adjustment effect are detected, and the potential impact mechanism is also explored. Some findings have been generated. (1) Both industrial structure optimization and industrial structure transition realize carbon lock-in eradication. (2) Industrial structure optimization and transition are more effective in inhibiting carbon lock-in in cities with a higher level of economic background. (3) By generating an interaction term of industrial structure optimization and transition and examining the impact of the interaction term on carbon lock-in, this paper detects that industrial structure optimization and transition have a synthetic impact on carbon lock-in, showing a "1 + 1 > 2" effect. (4) Industrial structure optimization and transition both affect carbon lock-in by improving technological innovation level, which is the impact mechanism. Some policy implications, such as sectoral diversification and promoting research and development, are put forward for better industrial structure development and carbon unlocking.

Technological innovation and its influence on energy risk management: Unpacking China’s energy consumption structure optimisation amidst climate change

In the context of intensifying climate challenges, adept energy risk management is more pertinent than ever. This research pioneers an in-depth exploration into China’s pronounced reliance on high-polluting fossil fuels, utilising a decade’s worth of provincial data (2010–2020) to shed light on the intricate dynamics between technological innovation and energy consumption structure refinement. Notably, our findings unveil that technological advancements act as catalysts in streamlining energy consumption structures, serving as a bulwark against emergent climate-related risks. Yet, this positive trajectory is not immune to disruptions: volatility in crude oil futures prices has the potential to dampen these benefits, ushering in heightened financial risks. Our work further underscores pronounced regional variances; technological innovation yields diminished returns in the central and western regions compared to their eastern counterparts. An intriguing observation is the resilience exhibited by coal-dependent provinces to technological evolution, pointing towards entrenched energy infrastructure challenges. Crucially, this study is among the first to identify the dual roles of industrial structure evolution and energy pricing dynamics as mediators in energy risk management. Drawing from these insights, we advocate for a proactive harnessing of technological innovation, not merely as a tool, but as an imperative to drive China’s energy transformation, foster sustainable consumption, and lay the foundation for a fortified green and low-carbon technological ecosystem.

Research on industrial structure adjustment and spillover effect in resource-based regions in the post-pandemic era.

Resource-based regions support national economic development and are essential sources of basic energy and raw materials. In the post-pandemic era, however, there are practical situations to deal with, such as a fractured industrial chain, a weaker industrial structure, and a sharp reduction in economic benefits. Based on data collected from 68 cities in China, from 2010 to 2021, with 816 observations, this paper explores the industrial development process of resource-based regions in China and the change in the toughness of the industrial structure under the impact of COVID-19. The paper studies and analyzes industrial development trends, industrial structure toughness, and spatial spillover effects. The methods used are the Markov chain model and the Industrial Structure Advancement Index. By building the spatial Dubin model, the paper analyzes the spatial spillover effect of regional industrial development. It decomposes the spillover effect using the partial differential model based on regression. The results show that, during the study period, the comprehensive development level of industries in resource-based regions in China was slowly improving and tended to stabilize after entering the post-pandemic era. The evolution of an advanced industrial structure is significantly heterogeneous among regions, and each region has different toughness. The impact of COVID-19 has reduced the toughness of China's resource-based regions' industrial structure. The spatial spillover effect of regional industrial development is significant. Labor force, technology input, and industrial-structure optimization have different impacts on the industrial development of neighboring regions. In the post-pandemic era, China has used new management methods for more innovation. In order to achieve low-carbon, environmental protection, and sustainable development of resources, realize the rapid recovery of the toughness of industrial structure in China's resource-based cities, and reduce the impact of the COVID-19 pandemic, China proposes to expand the supply of resources, improve the allocation of resources, optimize the direction, promote the rational flow and efficient aggregation of various factors, and enhance the impetus for innovation and development.

Coupling Analysis of Industrial Structure Evolution and Economic Growth in Vocational Colleges Based on Big Data

Coupling Analysis of Industrial Structure Evolution and Economic Growth in Vocational Colleges Based on Big Data

The potential nexus between fintech and energy consumption: A new perspective on natural resource consumption

In fintech innovation, conventional financial service limits are exceeded, contributing to regional sustainable development by reducing strain on resources. It is crucial in mitigating the demand for natural resources (e.g., fossil energy consumption), essential for achieving regional sustainability. To investigate this, we examine how fintech influenced fossil energy consumption in 272 cities between 2006 and 2019, using fixed and threshold regression models. The findings underscore that fintech exerts a significant influence in escalating fossil energy consumption and augmenting energy intensity. Notably, the impact of fintech on fossil energy consumption witnesses a distinct hierarchical pattern, with prevalence in the eastern regions surpassing that of the central and western counterparts, and the impact of fintech on energy intensity is more prominent in western China. Fintech stimulates fossil energy consumption in the high-level fintech group while exhibiting insignificance concerning energy intensity in the low-level fintech group. A heightened degree of marketization can moderate fintech's impact on energy consumption and curbing energy intensity. Notably, a threshold in fintech development emerges at 3.466, where lower levels inhibit energy consumption, while levels exceeding 3.466 demonstrate a stimulative effect on energy consumption. The industrial structure is moderating in the nexus between fintech and urban fossil energy consumption, showcasing a threshold value of 0.268. When the industrial structure's developmental level is below this threshold, fintech promotes fossil energy consumption. while levels exceed 0.268 in industrial structure development, fintech facilitates energy conservation by restructuring industries. These findings offer relevant policy recommendations. Our findings can help alleviate resource consumption pressure through fintech and further informing the green and low-carbon transition of cities.

Innovative Research on Industrial Upgrading and Transformation Path of Regional Economy in the Perspective of Digital Economy

Abstract This paper utilizes the digital economy, regional spatial distribution digital mining technology, establishes the indicator system, assigns values to the indicators, and applies the indicator system to evaluate the development of industrial structure upgrading and transformation of the regional economy. According to the research results of the basic structure and algorithm of the self-organized neural network model, combined with the classification layer smoothing algorithm, the regional spatial clustering model is constructed. Using the constructed model, the regional economic spatial dynamic data is mined, and the path of industrial transformation and upgrading in the regional spatial area is dynamically studied. Furthermore, using the CA algorithm, the evolution law of land use structure in the region is predicted, and the development of the regional economy is inferred. At the same time, through the spatial autocorrelation regional prediction model, the relevant regional spatial expansion prediction method is proposed, the three research hypotheses of this paper are made, and the constructed model is utilized to innovate the exploration of industrial transformation and upgrading paths from the spatial dimension. Using empirical research methods, descriptive statistics, and mediating effect heterogeneity analysis are carried out to analyze the factors that influence regional economic variables in place A. The empirical analysis shows that the fluctuation range interval of industrial structure is between [0.811,10.2805], which brings a large positive impact on the regional economy.2017 national digital economic growth rate changed from -0.17446 to 0.17143 to realize a positive growth rate, and at the same time, there is a heterogeneity in the development of the east-west and central regions of A. The hypotheses presented in this paper are all valid.

Research on the Role of Digital Economy in Industrial Structure Optimization Evidence from China's Provincial Panel

The development of digital economy not only promotes economic growth, but also promotes the optimization and development of industrial structure. Using the panel data of 31 provinces provided by China Statistical Yearbook, this paper constructs two indicators of digital economy and industrial structure optimization, and uses two-way fixed effect model to study the impact effect, heterogeneity analysis and mechanism analysis of digital economy on industrial structure optimization. The research shows that the development of digital economy has significantly optimized the industrial structure; In different regions of China, the role of digital economy in the optimization of industrial structure is different. The improvement of innovation level and social division of labor will significantly promote the optimization effect of digital economy on industrial structure. The results of this study show that it is necessary to further promote the integration of digital economy and the traditional three industries, and give full play to the enabling role of digital economy with higher quality. We should pay attention to the different impacts of digital economy on industrial structure optimization in different regions and take measures according to local conditions. It is necessary to refine the social division of labor in the region and strengthen the regional innovation ability, so as to give full play to the optimization efficiency of digital economy on industrial structure.

Research on the Development of Industrial Structure in Zhejiang Province from the Perspective of Planning

Research on the Development of Industrial Structure in Zhejiang Province from the Perspective of Planning

How can China’s coal cities achieve high-quality development?—An empirical study based on the “resource curse” hypothesis

The relationship between the utilization of natural resources and high-quality economic growth has always been a concern of the academic community. China’s coal cities to varying degrees suffer from population outflow, economic stagnation or even negative growth, precipitous drop in housing prices, serious environmental damage, and other problems. There is a negative correlation from the perspective of location between the enrichment of coal resources and economic development in China, confirming the existence of coal “resource curse” in China’s interprovincial scope. Through establishing quantitative models. This article analyzes the transmission mechanism of the nonlinear impact of coal industry development on regional total factor productivity (TFP) from the 2 paths of industrial structure evolution and factor allocation efficiency. The sample panel data of 44 coal cities in China from 2003 to 2017 are examined to empirically test the impact of coal industry development in China’s coal cities on TFP and its transmission mechanism. In the coal industry development, the service industry is being squeezed out to some degree, while the manufacturing industry is suffered from “double deindustrialization” and severe shrinkage. Such an industrial structure transformation is one of the transmission paths of “resource curse.” The development of human capital (HC) and finance has a threshold effect on the impact of the coal industry development on the TFP of coal cities. The excessive growth of coal industry has a restraining effect on the development level of HC and finance that influences the efficiency of resource allocation, resulting in failure of such industries to promote the TFP. With the improvement of HC and finance sectors in coal cities, the development of coal industry has promoted the TFP. Therefore, this article holds that the government should aim at improving the efficiency of factor allocation, formulate scientific and reasonable industrial adjustment policies, upgrade industrial structure, and actively develop manufacturing and producer services. Meanwhile, in the process of coal city development, it should pay attention to improving HC input, actively develop green finance industry to promote the development of capital market, and promote the green transformation of coal industry. Actively develop new sources of energy. The sustainable development of coal cities should be guided according to different life cycle stages in order to achieve healthy and sustainable development and break the “resource curse.”

Natural resources, financial development and structural transformation in Sub-Saharan Africa

Structural transformation is a crucial prerequisite for inclusive and sustainable development. In this context, this study examines the influence of natural resource dependence on the transformation of industrial structure in a panel of 30 Sub-Saharan (SSA) economies from 1995 to 2019, taking into account the role of financial development. The empirical analysis relies on the newly developed bias-corrected method-of-moments estimator. The findings indicate that natural resource dependence leads to a reduction in the output contribution of the manufacturing and service industries. On the other hand, financial development through the institutions channel decreases the output value of extractive industries while increasing the output value of manufacturing and service industries, resulting in a net positive effect on the evolution of industrial structure away from extractive-based industrialization. Considering the complex multidimensional nature of financial development, further findings suggest that the depth and efficiency of financial systems are critical areas for deepening structural diversification in the sub-region. Additionally, the findings reveal a U-shaped relationship between per capita GDP and industrial structure transformation. These findings highlight that natural resource dependence inhibits structural transformation in SSA and emphasize the importance of enhancing the depth and efficiency of financial systems as part of strategies to break the resource curse.