Upgrading Of Industrial Structure Research Articles

Environmental regulation influences urban land green use efficiency: Incentive or disincentive effect? Evidence from China

China's crude economic development has led to high pollution and inefficiency of urban land use. Environmental regulation (Er) is crucial for governments to promote green growth and efficient land use. Using a dataset of 271 cities in China from 2011 to 2020, this paper investigates the threshold effect of green innovation in science and technology and industrial structure optimization on Er impacts of urban land green use efficiency (Ulee). The results show that (1) Er positively affects Ulee. (2) There is a threshold effect of green innovation in science and technology (Gin) and industrial structure upgrading (Ind) in Er affecting Ulee, and the force decreases as the threshold value increases. (3) Within the examination of heterogeneity, the impact of Er on Ulee is more significant in eastern, high levels of urbanization and large cities, but the force of action is smaller. Based on the nonlinear force of Er, it is crucial to maximize the effectiveness of green land use by giving full play to the interactive synergistic effect of the "combination box" and dynamically and flexibly adjusting the intensity of Er according to the time, place, and state of urban development.

Research on the development status, problems, and optimization path of green finance in commercial banks

With the green economy gradually becoming the trend of global economic development, green finance has also risen to China's national strategy and become a new blue ocean business for the future development of commercial banks. The development of green finance not only plays an obvious role in improving economic efficiency and realizing the transformation and upgrading of industrial structure, but also plays a great significance role in environmental protection, and realize the harmony and unity of man and nature, which is an important initiative to realize the progress and development of the country.The article firstly points out the problems in the process of green finance development, and analyzes the challenges faced in the process of green finance development. Finally, the article gives the optimized ways for commercial banks to develop green finance from four perspectives, such as learning international law governance experience, introducing the Equator Principles for project evaluation, improving policy support, strengthening government guidance, strengthening product research and development and innovation, and attaching importance to talent cultivation, so as to provide a reference for China to further promote green finance and achieve high-quality development.

Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China

Green and low-carbon use of urban land (GLUUL) and high-quality economic development (HED) are two closely linked and mutually reinforcing systems, and their coordinated development is of great theoretical and practical significance to the realization of green and sustainable urban development. Based on theoretical analysis, this paper used data from 2005 to 2020 to measure GLUUL efficiency and HED level and their coupling coordination degree (CCD) successively of 282 cities in China, and then analyzed in-depth the main factors affecting CCD and its spatial–temporal heterogeneity using the GTWR model. This study found that (1) GLUUL efficiency and HED levels are increasing with different trends, and the development is unbalanced. High-value cities in the two systems show a staggered distribution pattern. (2) The CCD of the two was dominated by primary and intermediate coordination types, and the overall became increasingly coordinated, with the “intermediate coordination—advanced development” type having the highest representation. (3) There is a gradual convergence of CCD spatial differences, showing an overall spatial distribution pattern that is “high in the northwest and southeast, low in the central area”. (4) The influence degree and direction of different factors on CCD are distinguishing. The positive impact of industrial structure upgrading (Isu) is obviously greater than other factors, which has the strongest effect on the industrial corridor along the Yangtze River and the Beijing–Tianjin–Hebei region. The findings can offer insightful recommendations for promoting sustainable development in China and similar developing countries and regions.

The Influence of Digital Economy Development and Household Consumption Upgrading on Industrial Structure Upgrading

Data elements have become one of the important factors of production. This paper uses the panel data from 10 provinces in China from 2022 to 2023 for empirical analysis, studies the impact of digital economy on the upgrading of industrial structure, and analyzes how the digital economy promotes the upgrading of industrial structure from the perspective of residents' consumption. The results show that the development of digital economy has a significant positive effect on the industrial structure upgrading, and the effect of digital economy after the threshold value; the development of digital economy can promote the industrial structure upgrading by promoting the consumption upgrading; the effect of digital economy on promoting the industrial structure upgrading decreases from the west to the east.

Impact of Heterogeneous Environmental Regulation on Ecological Industrialisation in the Upper Reaches of the Yangtze River in the Context of "Internet + Big Data"

The solution to the ecological and protection conundrum in the upper reaches of the Yangtze River lies in ecological industrialization, which is predicated on ecological preservation and has the capacity to convert local ecological advantages into economic advantages. Environmental regulations are essential to the ecological industrialization process since they help to solidify the base of resource endowment and guarantee the industrialization process's steady progression. There may be a relationship between environmental laws and eco-industrialization, according to the research. With the rapid development of new-generation information technology such as the Internet, big data, cloud computing and the Internet of Things, it is of great significance to strengthen the Internet and big data to empower eco-industrialisation development. Using a panel regression model, the influence and moderating function of environmental regulations on eco-industrialization were examined. The findings demonstrate that environmental rules with a focus on public engagement and command-and-control encourage area eco-industrialization. Nonetheless, the degree of regional eco-industrialization was lowered by the market incentive form of environmental control. It was also determined whether environmental laws had a moderating effect on eco-industrialization. The findings of the mediating impact demonstrate how, through the mediating function of upgrading the industrial structure, all three environmental regulations influence the evolution of eco-industrialization. In conclusion, this study makes the case that environmental legislation has a significant impact on eco-industrialization. Simultaneously, consideration needs to be given to how various forms of environmental control affect eco-industrialization. To this purpose, upgrading the eco-industrialization level of the upper reaches of the Yangtze River requires a reasonable regulation of the strength of environmental regulations. This justifies accelerating the industrial structure's upgrade.

The Impact of the Digital Economy on Employment Scale in the Yangtze River Delta Region

Abstract Employment is the greatest livelihood and the most basic support for economic development. In recent years, the scale and scope of digital economy has expanded dramatically, triggering revolutionary changes in employment patterns. Especially in the Yangtze River Delta region. This paper is based on panel data of 41 prefecture level cities in the Yangtze River Delta region from 2011 to 2021. Firstly, the fixed-effects regression model is used to empirically analyze the impact of the digital economy on the employment scale in the YRD region, and the intermediary mechanism model is further used to verify the role of industrial structure upgrading in the digital economy's impact on the employment scale. The study finds that: The digital economy has significantly expanded the employment scale in the YRD region, indicating that the employment creation effect is greater than the employment substitution effect. In the heterogeneity analysis, this impact is more significant in the central cities of the YRD region, areas with higher levels of urbanization and well-developed digital infrastructures. The digital economy can promote the optimization and upgrading of the employment market in the YRD region through the upgrading of the industrial structure, expanding the scale of employment, optimizing the employment structure. Keywords: Digital economy development, Yangtze River Delta region, Employment scale, Industrial structure upgrade.

How do industrial land transfer modes impact carbon emissions? An intermediation perspective based on industrial structure.

Industrial land is currently the main carrier and important source of global carbon emissions, and as the world's largest developing country, China's large-scale and diversified industrial land supply has made it the world's largest carbon emitter. Therefore, researching the impact of different supply methods of industrial land on carbon emissions and its impact paths in China can help provide a reference for other countries to reduce carbon emissions from the perspective of urban industrial land management, which is of great significance for effectively promoting global carbon reduction. Based on this, this paper analyses the impact of different supply methods of industrial land on carbon emissions and its urban heterogeneity using the SYS-GMM and chain-mediated effects models for 285 cities in China from 2008 to 2020. The study found that, in general, the impact of different industrial land transfer modes on carbon emission has hysteresis and persistence. Agreement and listing transfer with government intervention can significantly exacerbate carbon emissions, while more market-based bidding and auction transfer can dampen carbon emissions. In terms of intermediary effects, the transfer of industrial land by agreement and listing will inhibit the rationalization and advancement of industrial structure, thus aggravating carbon emissions. The transfer of industrial land by bidding and auction will create barriers to entry and a crowding-out effect, promote the rationalization of industrial structure and the transformation and upgrading of industrial structure and moderate carbon emissions. In terms of city heterogeneity, there is urban heterogeneity in the impact of industrial land transfer on carbon emissions in cities with different economic types. Bidding and auction transfer for industrial land in both economically developed and less developed cities can promote carbon pollution. While the more developed urban economy makes the intermediary effect of industrial structure not significant. In the future, it is necessary to strictly control the scale of industrial land supply; the whole process supervision mechanism of industrial land allocation and differentiated industrial land supply strategies will provide useful experience for many developing countries in allocating industrial land to mitigate carbon emissions, generating effective contributions to global carbon emission reduction.

The Impact of the Integration of the Culture Industry and Tourism on Regional Green Development: Empirical Evidence from China

The concept of “green development” has garnered increasing recognition and prominence in recent years, attracting the attention of various countries and regions. How to achieve green development has become a pressing issue for the government. The integration of the culture industry and tourism has had a profound impact on regional green development. This paper employs the entropy method to assess the level of regional green development, and it employs the coupling coordination model to evaluate the degree of integration of the culture industry and tourism across 30 provincial administrative regions in China from 2011 to 2021. Additionally, an econometric model is constructed to empirically examine the impact of the integration of the culture industry and tourism on regional green development, as well as its underlying mechanism. The findings of this study indicate the following: (1) The integration of the culture industry and tourism significantly enhances regional green development. (2) With the improvement in the regional green development level, the integration of the culture industry and tourism is playing a gradually stronger role in promoting regional green development. (3) Further analysis of the mechanism reveals that the integration of the culture industry and tourism enhances regional green development by facilitating the upgrading of the tourism industrial structure. (4) Environmental regulation policies reinforce the role of the integration of the culture industry and tourism in promoting regional green development. These research findings contribute to enhancing our understanding of the impact of the integration of the culture industry and tourism on regional green development, providing empirical evidence and policy recommendations for the government to facilitate the integration of the culture industry and tourism and further promote green development.

Study on the Heterogeneity and Regulatory Effects of Financial Development and Technological Innovation on Carbon Emission Reduction

Based on provincial panel data from 2008 to 2017 as the research sample in China, this study examines the impact of financial development on carbon emissions. Regression models are employed to estimate the influence of financial development on carbon emissions in different regions. The research reveals that the level of carbon emissions is influenced by differentiation and heterogeneity, with different regions showing varying sensitivities to factors such as financial development, technological innovation, and industrial structure. Financial efficiency has a negative impact on carbon emissions, being positive in regions with low carbon emissions. In areas with higher carbon emissions, the impact of financial efficiency on carbon emissions is greater. Industrial structure has a negative impact on carbon emissions, and in regions with lower carbon emissions, the upgrading of industrial structure has a greater impact on carbon reduction. Technological innovation has a negative impact on carbon emissions in regions with medium to high levels of emissions, while its impact in low-emission areas is positive but not significant. Per capita GDP, energy structure, and urbanization level overall have a positive impact, while foreign investment has a negative impact. The introduction of technological innovation as a moderating variable significantly enhances the significance level of financial efficiency.

The Impact of Digital Economy Development on China's Industrial Structure Upgrading—An Empirical Analysis Based on Provincial Panel Data

On the basis of theoretical analysis, this paper measures the upgrading level of industrial structure from three dimensions: the speed of industrial transformation, the advanced level of industrial structure and the rationalization level of industrial structure, and uses China's provincial panel data from 2011 to 2020 to explore the effect and mechanism of digital economy development on the upgrading of industrial structure. The results show that the development of digital economy can significantly promote the upgrading of China's industrial structure, and this effect is the most significant in the central region; The level of regional innovation is an important transmission path of the development effect of digital economy.

The Influence of Digital Economy on The Vitality of Urban Double Innovation

Under the new development pattern, the rapid development of digital economy is becoming the core force to change the global economic and social structure. At the same time, China is speeding up the conversion of old and new kinetic energy, and how to activate China's dual-innovation vitality is the focus of attention from all walks of life. Based on this, this project, based on the panel data of 285 prefecture-level cities in China from 2011 to 2019, studies the influence of regional digital economic development index on urban innovation vitality through two-way fixed effect model and intermediary effect model. It is found that the digital economy can promote the promotion of urban innovation vitality, and this conclusion is still valid after replacing the robustness test of the explained variables. The further mechanism test shows that the upgrading of industrial structure is an important intermediary variable for the digital economy to enhance the dual-innovation vitality of cities, and the digital economy can promote the dual-innovation vitality of cities through the upgrading of industrial structure.

How Environmental Regulations Affect Green Total Factor Productivity—Evidence from Chinese Cities

Environmental pollution and resource waste in Chinese cities have become important obstacles to sustainable economic development, and it is urgent to change the mode of economic development and improve the quality of economic development. In response to this challenge, this study proposes environmental regulation as a solution and empirically tests the impact of environmental regulation on green total factor productivity. The empirical results show that environmental regulation can significantly improve urban green total factor productivity, the public environmental concern and green finance strengthen the positive effect of environmental regulation on urban green total factor productivity. The mechanism test shows that environmental regulation can improve urban green total factor productivity through green technological innovation and industrial structure upgrading. Heterogeneity analysis reveals that, compared to the resource-based cities, the positive effect of environmental regulation on urban green total factor productivity is more significant in the non-resource-based cities with relatively developed traditional finance and high levels of industrial modernisation. Compared to the central and western as well as the northeast regions of China, the positive effect of environmental regulation on urban green total factor productivity is more significant in the eastern region due to capital accumulation and technological constraints. The results of the study remain reliable after a series of endogeneity and robustness tests. These studies provide an important research basis for providing more targeted environmental regulation programmes and better improving green total factor productivity.

Research on the Development Status of Higher Vocational Education in China

With the rapid development of China's economy and the transformation and upgrading of industrial structure, higher vocational education plays an important role in cultivating high-quality skilled personnel. This paper analyses the current situation of the development of higher vocational education in China, discusses the challenges it faces, and puts forward corresponding countermeasures and suggestions. The study finds that the number and scale of schools in China's higher vocational education have been expanding, and the setting of disciplines and specialisations has been gradually diversified, but there are still certain problems in the construction of teaching staff and the guarantee of teaching quality. Meanwhile, the mismatch between higher vocational education and industrial demand, and the unbalanced distribution of educational resources are also challenges to the current development. In response to these problems, this paper puts forward countermeasures and suggestions such as diversified talent cultivation modes, balanced allocation of educational resources, strengthening industry-university-research-use cooperation, reinforcing the construction of faculty, as well as promoting the optimisation and updating of disciplines and specialties. These measures will help to improve the quality and level of China's higher vocational education and meet the demand for talents in social and economic development.

The Driving effect of industrial upgrading on new-type urbanization in Zhejiang Province

The process of urbanization is supported by the economic foundation and accompanied by the upgrading of industrial structure. At present, the new-type urbanization of Zhejiang is in the stage of rapid development, and the upgrading of industrial structure is continuously and stably advanced and rational. Urban and rural development and urban construction are gradually moving towards a higher level. Therefore, it is of great significance to explore the driving effect of industrial upgrading on the new-type urbanization in Zhejiang Province for studying how to further promote the new-type urbanization process in China. Based on the analysis of industrial structure upgrading and urbanization in Zhejiang Province, this paper adopts the entropy weighting method to comprehensively evaluate the new-type urbanization level of each city in Zhejiang Province. Using panel data from 2009 to 2018, empirical analysis is made on the influencing factors of new-type urbanization level score of each city in Zhejiang Province. The influence of industrial structure upgrading index and other factors on the new-type urbanization level in Zhejiang province is obtained, which provides reference for Zhejiang and other regions to guide the industrial upgrading and improve the new-type urbanization development level.

The Impact of Digital Finance on Industrial Structure: Evidence From China

This paper first theoretically analyzes the impact mechanism of digital finance on industrial structure upgrading, and then empirically analyzes the relationship between digital finance and industrial structure upgrading. The results show that the development of digital finance can promote the upgrading of industrial structure. Further analysis shows that the proper allocation of government attention is also key to achieving digital finance development and industrial structure upgrading. The above conclusions provide policy implications between the development of digital finance and the upgrading of industrial structure in China.

Research on the Application of AGV Scheduling Strategy in Improving the Efficiency of Intelligent Manufacturing of Vehicle Parts

<p>With the development of intelligent manufacturing and the upgrading of industrial structure, all industries are facing the transformation and upgrading towards refined and efficient production models. This article takes engine piston and connecting rod as the research object. Firstly, the production process of piston and connecting rod is analyzed, and then the corresponding processing equipment is listed. Then, the layout design of the piston and connecting rod workshop is completed according to the layout standards of the intelligent workshop; Secondly, the transportation problem of engine piston connecting rods between storage units and various processing units during the production process was further analyzed. The scheduling strategy under multiple AGV modes was studied, and an optimization model was established with the lowest comprehensive cost of time and distance. Finally, an improved genetic algorithm was used to solve the model parameters. The simulation experiment results show that the proposed method can improve production efficiency by 7.5%.</p> <p> </p>

How digital government mediate the influence of fossil fuels on green innovation: Evidence from China's a-share industrial enterprises

China's rapid economic growth has resulted in a heavy reliance on fossil fuels, necessitating effective government intervention to facilitate their green transformation within the industrial sector. Therefore, a comprehensive investigation into the impact of mineral resource and fossil fuel dependence (ED) on the green transformation of Chinese enterprises, alongside the role of digital governance systems, holds paramount importance. This study delves into the influence of ED on firms' green technology innovation (FGI) using data sourced from A-share industrial enterprises listed on China's Shanghai and Shenzhen stock exchanges during the period from 2011 to 2021. Additionally, it examines the internal mechanisms facilitated by digital government, and provides insights into the heterogeneity observed from the perspectives of enterprises' industry classifications and sizes. The following conclusions are drawn: (1) ED significantly impedes the enhancement of green technology innovation levels among listed industrial enterprises, and this finding remains robust across multiple testing methods. (2) ED demonstrates varying inhibitory effects on firms' green technology innovation, with the most pronounced impact observed in the energy production and supply industry and the mining industry, and a relatively weaker effect observed in manufacturing enterprises. Furthermore, the inhibitory effect of fossil energy dependence on green technology innovation is observed to be stronger in small-scale enterprises compared to their larger counterparts. (3) The advancement of the digital economy notably mitigates the inhibitory effect of fossil energy dependence on firms' green technology innovation. (4) ED primarily diminishes the level of green innovation by reducing the stringency of government environmental regulations, hindering regional marketization, and impeding the industrial structure's upgrade.

Exploration and Practice of “Government-School-Enterprise” Cooperative Education Mode Under the Background of Rural Revitalization

In recent years, with the upgrading and transformation of the rural industrial structure, rural revitalization has emerged as a crucial strategy for China’s rural development. Talent has become the key factor in driving rural revitalization forward. Against the backdrop of rural revitalization, the imperative to enhance the quality of rural personnel training and cultivate professionals who possess a deep understanding of agriculture, harbor an affinity for rural life, and champion the cause of rural development has become a paramount concern for colleges and universities. In this context, this paper undertakes an analysis of the value implications of the “government-school-enterprise” cooperative education model within the framework of rural revitalization. Furthermore, it outlines a roadmap for the construction of the “government-school-enterprise” cooperative education model, offering valuable insights for future endeavors in this area.

The Impact of Digital Economy on Corporate Green Technology Innovation

In the context of high-tech innovation, digital technology, as an important driver of China's comprehensive deepening of reforms and the completion of the "14th Five-Year Plan", plays an important role in China's future industrial structure upgrade and social development. As a new form of economy, the digital economy is based on high-tech information technology and digital industry. With the development of the digital economy in recent years, it now occupies an important position in the global economic ecology, especially in China. In recent years, the central government has continuously The development of digital economy was mentioned in all four economic work conferences. The development of the digital economy further deepens corporate green technology innovation.

Carbon emissions trading, industrial structure upgrading and green development: Excess benefits of combined actions

Clarifying the influence mechanisms of carbon emissions trading scheme (ETS), industrial structure upgrading (ISU), and green development is of great theoretical and practical significance. Existing studies have only focused on the role of ETS or ISU on green development and have not included them in an analytical framework. The DID model and the moderating effect model are therefore combined in this work to to explore how the ETS will affect the link between ISU and green development throughout the period of 2008 to 2019 using panel data from 271 Chinese cities. Through a series of robustness and endogeneity tests, we find that: (1) ETS can significantly moderate the U-shaped relationship between ISU and green development, and this impact is significant in both the long and short term; (2) When ETS and ISU are implemented at the same time, the effect of the combined actions is greater than the sum of the effects of the two policies implemented separately, which means that the combined actions has excess dividends; (3) ETS and ISU have significant direct effects and spatial spillover effects on green development, and the excess dividends of combined actions also exist significantly at the spatial level. The research results of this paper provide an important theoretical and empirical basis for establishing the combined actions of ETS and ISU.