Industrial Technological Innovation Research Articles

Does Digital Inclusive Finance Increase Industry Chain Resilience in China?

A high level of industry chain resilience is essential for China’s economy to operate safely, soundly, and robustly. It also serves as the foundation for the nation’s capacity for growth, competitiveness, sustainable development capacity, and ability to respond to various external dangers. In this regard, the swift advancement of digital inclusive finance has shown significant prospects for enhancing the resilience of China’s industry chain. This study empirically examines the impact of digital inclusive finance on industry chain resilience, based on China’s provincial panel data from 2013 to 2021. The findings demonstrate the following: digital inclusive finance significantly contributes to industry chain resilience; optimization of industrial structure and technological innovation play mediating roles in the relationship between digital inclusive finance and industry chain resilience; and the high-quality development of the regional economy has a positive moderating effect on that relationship. Subsequent investigation reveals quantile and regional variations in the effect of digital inclusive finance on industry chain resilience. This study not only confirms the critical role that digital inclusive finance plays in bolstering industry chain resilience but also identifies a workable strategy for doing so in the case of China.

The Effect of Financial Development on Industrial Green Technology Innovation Efficiency: Experience Analysis from 288 Cities in China

Green industrial growth is at the core of the green and low-carbon transformation of the real economy. Financial services provide new channels for green innovation financing for enterprises. How to utilize financial development to enhance the industrial green technology innovation efficiency (GTIE) is the focus of this paper. Using data from 288 cities in China, this paper employs the Super-SBM model and the Network DEA model to measure the industrial GTIE and then investigates the complex relationship between financial development and industrial GTIE. The results show that, overall, financial development can promote the industrial GTIE. And alleviating enterprise financial constraints and increasing investment openness are effective pathways for this influence. In addition, we discuss the heterogeneous effects of financial development on industrial GTIE across different types of cities, manifested as a dual effect of “supporting” and “predation”. In regions with stronger financial power such as coastal and eastern cities, the “predation effect” is stronger, while the “support effect” is stronger in inland and central/western cities. Furthermore, the expansion of city size weakens the impact of financial development on industrial GTIE. This paper points out that financial development plays a crucial role in enhancing the industrial GTIE, but excessive financial power may crowd out the positive impact of financial development on the industrial GTIE. When promoting financial development, it should be matched with region development to avoid crowding out investment in green innovation by enterprises.

Can the energy transition drive economic development? Empirical analysis of China's provincial panel data

With the rise of global environmental awareness and increasing concern about the impacts of climate change, the energy transition has become a pressing issue worldwide. However, in existing studies, the conclusions on the impact of the energy transition on economic development are not consistent. Given these discrepancies and the complexity of the influencing factors in the process of energy transition, the study of the relationship between energy transition and economic development has important theoretical and practical significance for energy policy and economic planning in China and globally. By utilizing provincial panel data from 2000 to 2019 in China and constructing an econometric model, this study empirically examines the influence of the energy transition on economic development. The results show that the energy transition is beneficial for China's economic development. Furthermore, regional heterogeneity significantly stimulates economic development through the upgrading of industrial structure, technological innovation, and environmental regulation. This study provides important empirical evidence and a quantitative basis for actively and steadily promoting the energy transition while considering economic growth.

Does innovative city construction promote tourist destination competitiveness? An analysis of a quasi-natural experiment

This article employs the multi-period difference-in-differences model to investigate the causal impact of innovative city construction on tourist destination competitiveness and its various dimensions based on panel data for 272 Chinese prefecture-level cities from 2005 to 2019. The findings indicate that innovative city construction significantly and positively impacts tourist destination competitiveness, with this effect growing over time. In particular, the impact on tourism industrial competitiveness is negative, whereas the effects on the competitiveness of tourism resources, ecological environment, and socio-economic support are positive and significant. The impact of innovative city construction on tourist destination competitiveness varies significantly across regions and administrative levels, with no variation found between the central and western regions. The possible mediating mechanisms include industrial structure, science and technology innovation, and environmental regulation. This article significantly contributes to the theoretical expansion of tourist destination competitiveness and its change mechanisms under innovative city construction.

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

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

How Does Foreign Direct Investment Impact the Sustainable Development? Empirical Evidence from China’s Coastal Areas

As one of the important driving forces of sustainable development in coastal areas, foreign direct investment (FDI) has provided new ideas for exploring optimal strategies. This analysis explores the linear impact of FDI on sustainable development in coastal areas with 53 cities in China from 2012 to 2020. Accordingly, a dynamic panel smoothed transition regression (PSTR) model is used to analyze the non-linear impact of FDI on sustainable development, with transition mechanisms of industrial structure and technological innovation level. The findings reveal that the non-linear effect of FDI on the sustainable development of coastal areas is obvious. When the coastal area’s industrial structure is more optimized, and the level of technological innovation is higher, the promotion effect of FDI on sustainable development is more obvious. Further, the threshold effect of industrial structure and technological innovation is different. The threshold conversion rate of industrial structure is faster, but the threshold effect of technological innovation is stronger. Regionally, the impact of FDI on the sustainable development of coastal adjacent areas is significant, but not on the sustainable development of inland areas due to the few FDI inflows. This analysis offers guidance for policymakers to further develop the tertiary industry, increase financial investment in innovation in coastal areas and encourage enterprises to improve their independent innovation capacity.

Spatio-temporal Evolution and Coordinated Development of Compactness with Carbon Emission Intensity in the Chengdu-Chongqing Urban Agglomeration

Studies on the spatio-temporal variation and coordinated development level of compactness with carbon emission intensity in the Chengdu-Chongqing urban agglomeration is of great significance to achieve green, low-carbon, and high-quality development of society. The spatial-temporal differentiation, coupling coordination, and driving factors of the compactness and carbon emission intensity of the Chengdu-Chongqing urban agglomeration from 2010 to 2020 were analyzed by using the methods of comprehensive evaluation, carbon emission identical equality, coupling coordination, and the Geo-detector model. The results showed that:① The compactness of the Chengdu-Chongqing urban agglomeration continued to rise from 0.18 in 2010 to 0.22 in 2020, with an overall increase of 22.22 %, in which the contribution rate of economic compactness to urban compactness increased yearly. There were significant regional differences in the compactness of cities. The high-value areas were concentrated in Chengdu, Deyang, and Mianyang in the northwest and Zigong, Neijiang, and Luzhou in the southwest, whereas the low-value areas were distributed in the middle. Ya'an was always the area with the lowest compactness of urban agglomeration. ② The carbon emission intensity of the Chengdu-Chongqing urban agglomeration was decreasing yearly, with a decrease rate of 39.57 % during the study period. The carbon emission intensity in the southern part of the urban agglomeration was higher than that in other regions as a whole, whereas Chengdu and Chongqing were low-value areas all the year round, and the regional differences of carbon emission intensity were gradually narrowing. ③ The coupling degree between urban compactness and carbon emission intensity changed from the antagonistic stage to the running-in stage; the coupling coordination degree increased notably, from 0.21 in 2010 to 0.69 in 2020; and the two systems gradually moved towards benign and coordinated development. The coupling coordination between the northwest of the urban agglomeration (Chengdu, Deyang, and Mianyang) and the south of Sichuan (Zigong and Luzhou) was generally high. Industrial structure, scientific and technological innovation, urbanization level, government intervention, and environmental livability all had significant effects on the coupling and coordination of the two systems. ④ Optimizing industrial structure, strengthening scientific and technological support, improving the quality of urbanization development, implementing active policy guidance, and building green barriers were effective ways to promote the coordinated development of compactness and low carbon in the Chengdu-Chongqing urban agglomeration.

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China

Sustainable rural development forms a robust foundation for economic and social sustainability. Moreover, the digital economy acts as a catalyst for advancing rural sustainable development by altering the distribution of production factors. Thus, this study concentrates on 30 provinces in China, constructing an evaluation index system for both the digital economy and rural sustainable development. The study employs various methods and models to analyze the spatiotemporal changes and driving factors affecting the coupling and coordination between these two aspects. The research findings are as follows: the coupling and coordination levels among provinces in China have been on the rise year by year. By 2022, the coupling and coordination levels of most provinces range between 0.5 and 0.6. Regional disparities are the primary determinant of the poor overall coupling and coordination level in China. In 2022, the coupling and coordination level in the eastern region is 0.6663, compared to 0.5420 in the central region and 0.5087 in the western region. Factors such as urbanization, industrial structure transformation, technological innovation, higher education, economic development, and government support significantly influence the coupling and coordination level. Nevertheless, their effects vary across regions, with a more pronounced impact in the eastern region than in the central and western regions. Therefore, this paper proposes policy recommendations, including infrastructure optimization, rural digitization promotion, regional resource allocation enhancement, cross-regional development mechanism exploration, and differentiated development strategy implementation.

Study on Twinning Cooperation among Cities in the Yangtze River Delta to Help Promote Economic Growth in Less Developed Regions

Taking the model of city twinning cooperation and assistance in the Yangtze River Delta region as a perspective, this study thoroughly explores the role and mechanism of this model in promoting economic growth in less developed regions. Through empirical analysis and case studies, this study finds that twinning cooperation and assistance not only enhances the industrial level and technological innovation capacity of less developed regions, but also significantly promotes the optimization of local economic structure and the enhancement of economic growth rate. The article concludes with policy recommendations to further optimize the mode of twinning cooperation and assistance, with a view to providing theoretical support and practical guidance for promoting coordinated regional development.

Study on urban green development efficiency of Jiangsu, Zhejiang and Fujian in China: a mixed network SBM approach

PurposeBy studying the green development efficiency (GDE) of 33 cities in the provinces of Jiangsu, Zhejiang, and Fujian in China, this study strives to conduct an analysis of the sustainable practices implemented in these developed regions, and derive valuable insights that can foster the promotion of green transformation.Design/methodology/approachFirst, the urban green development system (GDS) was decomposed into the economic benefit subsystem (EBS), social benefit subsystem (SBS), and pollution control subsystem (PCS). Then, a mixed network SBM model was proposed to evaluate the GDE during 20152020, with Moran’s I and Bootstrap truncated regression model subsequently applied to measure the spatial characteristics and driving factors of efficiency.FindingsSubsystem efficiency presents a distribution trend of PCS > EBS > SBS. There is a particular spatial aggregation effect in EBS efficiency, whereas SBS and PCS efficiencies have no significant spatial autocorrelation. Furthermore, urbanization level contributes significantly to the efficiency of all subsystems; industrial structure, energy consumption, and technological innovation play a crucial role in EBS and SBS; external openness is a pivotal factor in SBS; and environmental regulation has a significant effect on PCS.Originality/valueThis study further decomposes the black box of GDS into subsystems including the economy, society, and environment. Additionally, by employing a mixed network SBM model and Bootstrap truncated regression model to investigate efficiency and its driving factors from the subsystem perspective, it endeavors to derive more detailed research conclusions and policy implications.

How Does Environmental Protection Tax Affect Urban Energy Consumption in China? New Insights from the Intensity Difference-in-Differences Model

Against the backdrop of accelerating environmental protection and resource conservation, it is of great significance to achieve energy conservation and sustainable growth. In this context, by collecting panel data from 284 cities in China from 2009 to 2021, this paper constructs an intensity difference-in-differences (I-DID) model, using the implementation of China’s environmental protection law in 2018 as an event shock, to explore the impact of environmental protection tax (EPT) on urban energy consumption. The results indicate that EPT significantly reduces urban energy consumption. After several robustness tests, the estimation results shown above still hold. The mechanism test reveals that EPT mainly reduces energy consumption by promoting urban industrial upgrading, economic openness, and technological innovation. In addition, the heterogeneity test shows that EPT has a greater impact on energy consumption in central and western cities, small and medium-sized cities, non-resource-based cities, and non-old industrial bases. Therefore, to fully improve the positive effect of EPT on urban energy consumption, we suggest increasing energy efficiency, promoting the green transformation of energy structures, enhancing the ability to open-up and innovate, and improving a differentiated regional EPT management system.

Can green finance reduce carbon emission? A theoretical analysis and empirical evidence from China.

As an important way for China to achieve its dual-carbon goal, green finance has become the foundation for promoting high-quality economic development in China. In order to clarify the mechanism of green finance on carbon emissions, this paper puts green finance into the economic model and deduces the relationship between green finance and carbon emission reduction. This paper is based on the panel data of 30 provinces in China (excluding Tibet, Hong Kong, Macao, and Taiwan) from 2008 to 2019, using the individual fixed effect model, dynamical model, mediator model, and SDM model to study the impact of green finance on carbon emissions and its impact path of upgrading of the industrial structure and the development of science and technology based on the measurement of the green finance development index of each province by the entropy method. The findings show that the development of green finance can reduce carbon emission significantly, which can be sustained until at least the third phase and generates spatial spillover effects; regional heterogeneity analysis finds that the development of green finance shows geographical discrepancies: compared with the eastern and western regions, the development of green finance in central region can reduce carbon emissions more significantly; not only can the development of green finance directly reduce carbon emission, but also through the upgrading of industrial structure and technological innovation. The research not only provides a new perspective and supplementary empirical evidence for understanding the carbon emission reduction effect of green finance, but also offers some useful references for green finance to contribute to carbon emission reduction.

Unlocking Economic Resilience: A New Methodological Approach and Empirical Examination under Digital Transformation

Economic resilience is crucial for urban sustainability as it ensures stability and growth in the face of external shocks, promotes social cohesion and inclusivity, fosters environmental sustainability, and enhances cities’ adaptability to future challenges. This study expands the conventional perspective on economic resilience beyond the context of shocks, focusing on the inherent resilience of regional economic systems. A novel method for quantifying economic resilience is introduced, emphasizing system sensitivity and adaptability. Using Chinese prefecture-level city data and an econometric model, we empirically examine how Fintech, a major digital transition in current urban systems, affects economic resilience. The findings reveal that Fintech has a substantial positive effect on economic resilience, primarily through the upgrading of industrial structures and technological innovation. Furthermore, there is significant regional heterogeneity in the impact of Fintech on economic resilience, with more pronounced contributions in the east, central, and western regions of China, as opposed to the northeast. Additionally, the impact of Fintech on economic resilience is more substantial in large-scale cities. The promotion of economic resilience through digital transformation serves as a potent risk prevention measure. Understanding the role of economic resilience in urban systems holds valuable implications for countries worldwide.

Coupling coordination and spatial–temporal evolution between high-quality development of construction industry and scientific and technological innovation

Coupling coordination and spatial–temporal evolution between high-quality development of construction industry and scientific and technological innovation

The path of green finance to promote the realization of low-carbon economic transformation under the carbon peaking and carbon neutrality goals: Theoretical model and empirical analysis

In 2020, China proposed the Carbon Peaking and Carbon Neutrality Goals, promoting low-carbon economy and the related green financial market environment. The introduction of relevant policies means that China's green financial service system is undergoing transformation. This is not only a manifestation of China's active commitment to environmental protection obligations, but also a major responsibility for China to actively respond to global climate change. It also directly puts forward higher requirements for China to accelerate the implementation of low-carbon economic transformation. Based on the panel data of 30 provinces (cities) from 2006 to 2020, this article realistically uses panel data information as the most fundamental basis, and adopts the Mediating Effect and GMM model to empirically analyze and verify the implementation path of green finance to assist in the low-carbon transformation of the economy. The study found that green finance could assist in the low-carbon transformation of the economy: there are paths of green finance →upgrading industrial structure → GDP carbon emission intensity and green finance →technological innovation→ GDP carbon emission intensity. Heterogeneity analysis showed that, in high-carbon emission areas, the upgrading of industrial structure has played a negative mediating effect in the process of green finance assisting in the low-carbon transformation of the economy. In addition, both the technological innovation paths in high-carbon emission areas and the upgrading industrial structure and technological innovation path in low-carbon emission areas have played a positive mediating effect in the process of green finance assisting in the low-carbon transformation of the economy. The research in this article enriches and develops the theory of finance and economic growth, providing a reference basis for achieving the Carbon Peaking and Carbon Neutrality Goals and coping with the difficulties encountered in the low-carbon transformation of the economy. It is of positive significance in the field of low-carbon development.

Forecasting Emerging Technologies in Intelligent Machine Tools: A Novel Framework Based on Community Analysis

Having emerged as strategic focal points in industrial transformation and technological innovation, intelligent machine tools are pivotal in the field of intelligent manufacturing. Accurately forecasting emerging technologies within this domain is crucial for guiding intelligent manufacturing’s evolution and fostering rapid innovation. However, prevailing research methodologies exhibit limitations, often concentrating on popular topics at the expense of lesser-known yet significant areas, thereby impacting the accurate identification of research priorities. The complex, systemic, and interdisciplinary nature of intelligent machine tool technology challenges traditional research approaches, particularly in assessing technological maturity and intricate interactions. To overcome these challenges, we propose a novel framework that leverages technological communities for a comprehensive analysis. This approach clusters data into specific topics which are reflective of the technology system, facilitating detailed investigations within each area. By refining community analysis methods and integrating structural and interactive community features, our framework significantly improves the precision of emerging technology predictions. Our research not only validates the framework but also projects key emerging technologies in intelligent machine tools, offering valuable insights for business leaders and scholars alike.

Low-carbon governance, fiscal decentralization, and enterprise green development: Evidence from China.

Simultaneously achieving economic development and environmental protection is a shared global challenge. While the positive effect of environmental regulations on protecting the environment has been widely recognized, the attention paid to low-carbon governance and corporate green transformation remains insufficient. Based on the two-stage least square regression model (2SLS) of instrumental variables, this paper utilizes panel data from China to identify the influence mechanism of government low-carbon governance on enterprise green development. It explores the effect of low-carbon governance on enterprise green development from the perspective of fiscal decentralization. The findings show that (1) Low-carbon governance significantly promotes corporate green development, primarily through improving industrial structure and technological innovation; (2) Low-carbon governance notably promotes the green development of private enterprises but has little effect on state-owned enterprises. There are also geographical differences, and the results are better in Eastern China than in the Central and Western parts of China; (3) Fiscal decentralization at both central and local levels inhibits the effect of low-carbon governance on driving corporate green development by causing a mismatch of human resources. Therefore, to promote corporate green development, low-carbon governance must prioritize green development, actively guide industrial structural upgrading and enterprise technological innovation, implement differentiated low-carbon governance measures tailored to different ownership enterprises, and optimize the assessment indicators for fiscal decentralization. This paper helps deepen the understanding of the relationship between government low-carbon governance and enterprise green development in developing countries. It can be used as a reference for government departments to formulate relevant policies.

Research on evaluation of Wuhan air pollution emission level based on entropy weight method

For the lack of precise monitoring and accurate assessment models for air quality, this paper fully considers such constraints and establishes an evaluation model of air pollution emission level to evaluate the air pollution emission level of Wuhan—a city in central China. The model uses entropy weight method including important indicators of air pollution into the integrated optimization of air quality assessment, laying the basis for sources of pollution and the reasonable and effective city development. The total emissions of air pollution for Wuhan shows a gradual upward trend over time, mainly coming from industrial pollution. The government can reduce air pollution by focusing on detecting major polluting industries, promoting industrial technological progress and innovation, and strengthening the effective implementation of emission trading system.

Urban green land use efficiency of resource-based cities in China: Multidimensional measurements, spatial-temporal changes, and driving factors

The green use of urban land has become a key for the sustainable transformation of resource-based cities. This paper selects 116 Chinese resource-based cities to construct an evaluation system for urban green land use and measure its efficiency. Secondly, it identifies driving factors affecting urban green land use efficiency (UGLUE) and comprehensively analyze the heterogeneity of these factors. The important findings of this paper include: (1) The UGLUE of resource-based cities in China has experienced a trend of first fluctuating and then improving. However, there are obvious regional differences. The UGLUE in the eastern and western regions are higher than those in the central and northeastern regions. (2) Industrial upgrading, financial development and technological innovation are key factors affecting UGLUE in resource-based cities. (3) There is significant heterogeneity in the impact of different factors in different city types, different regions and different time periods. The land use in resource-based cities should transform from blind expansion in pursuit of short-term economic benefits to a green development that pursues the coordination of economic, social, and ecological benefits based on the local conditions.

Impact of the coupling relationship between marine industry and regional development on the marine economy

To investigate the relationship between the marine industry and regional development, and assess its impact on the marine economy. The study creates an evaluation index system for the coupling relationship between the marine economy and regional development. It applies coupling theory and combines the hierarchical analysis method with the entropy weight method to determine the weight of each index. By constructing the coupling degree and coupling coordination degree model, this paper quantitatively analyzes the coupling relationship and applies the coefficient of variation to assess the coordinated development differences between different regions. The study utilized data from the official China Marine Statistical Yearbook. The analysis revealed an upward trend in the coupling degree of the marine economy and regional development during the study period, increasing from 0.58 to 0.72. This indicated a significant strengthening of the interaction and synergistic development between the two. In typical coastal areas, the coupling degree increased from 0.62 to 0.78, indicating the significant contribution of the marine industry to the region's comprehensive economic development. The study proposes policy recommendations to enhance the adjustment of the marine industrial structure and technological innovation, promote inter-regional cooperation and resource sharing, and strengthen marine environmental protection and sustainable resource utilization. These measures aim to promote the development of the marine economy while safeguarding marine resources.