Economic Development In Different Regions Research Articles

The Impact of Digital Inclusive Finance on High-Quality Economic Development: A Research Study

As China's economy transitions from high-speed growth to high-quality development, digital inclusive finance emerges as a dynamic and pivotal sector within the country's financial system. This domain plays a crucial role in addressing the shortcomings of traditional financial services, enhancing the efficiency of financial services, promoting consumption, and driving economic growth. As the turmoil caused by the COVID-19 epidemic gradually stabilizes, the impact of the epidemic on the economic development of various countries is gradually reduced, and the development of the global economy gradually returns to normal, China's economic development is facing new opportunities and challenge. Given the current challenges in China's economic environment, China has made new adjustments and begun to promote high-quality economic development on the premise of significantly improving quality and efficiency. Therefore, in the current stage of China’s economic development, it is imperative to investigate whether digital inclusive finance can indeed foster high-quality economic development. This paper begins by reviewing literature relevant to digital inclusive finance and high-quality economic development. Subsequently, utilizing panel data from 2011 to 2020 across 30 provinces, a bidirectional fixed-effects model is employed to validate the positive impact of digital inclusive finance on high-quality economic development. The study further explores whether digital inclusive finance exhibits positive effects on high-quality economic development in different regions. Finally, based on the research findings, the paper concludes with several policy recommendations for optimizing the role of digital finance in promoting regional economic growth.

Research on Green Process Innovation Enabling the Synergistic Effect of Pollution Reduction and Carbon Reduction

Achieving the objective of "peak carbon dioxide emissions and carbon neutrality" in the new stage of development will require the synergistic effect of pollution reduction and carbon reduction. In the new stage of development, achieving the goal of "peak carbon dioxide emissions and carbon neutrality" will necessitate the synergistic effect of pollution reduction and carbon reduction. This study assesses the degree to which pollution reduction and carbon reduction have a synergistic effect using the coupling coordination model, and uses the fixed effect model, the dynamic panel GMM model, the OLS model and the threshold effect model to examine how green process innovation affects pollutant reduction and carbon reduction synergistically, including direct, heterogeneous, and nonlinear effects. The results show that: firstly, green process innovation has a direct promoting effect on synergistic effect of pollution reduction and carbon reduction; Secondly, due to the differences in the economic development of different regions in China, the impact of green process innovation on the synergistic effect of pollution reduction and carbon reduction is heterogeneous in different regions, and presents a gradient distribution of "east > west > middle". Finally, there is a threshold effect in the impact of green process innovation on regional synergistic effect of pollution reduction and carbon reduction. This paper provides some reference value for promoting green process innovation and enhancing the collaborative impact of mitigating pollution and decreasing carbon emissions.

A Study of The Impact of Economic Development Across China on Higher Vocational Education

The impact of economic development in different regions of China on the development of higher vocational education is one of the key topics of research today. The researcher found that although higher vocational education has many positive impacts and promotes the regional economy to a certain extent, there are also problems such as lack of attention, waste of a large number of labour talents, and irrational allocation of resources, etc. However, there are some research gaps on the issue of the impact of the regional economy on higher vocational education; and there are also problems such as insufficient explanations of the problems and hazards caused by the problems and the measures to solve them. Therefore, this study directly analyses, summarizes, and investigates the relevant literature, summarizes the positive and negative impacts of regional economic development on the development of higher vocational education, and puts forward suggestions from government policies to promote school-enterprise cooperation, rational allocation of resources, and the development of higher vocational education in these aspects.

Environmental dynamics: unraveling the nexus of air pollution, population agglomeration, and sustainable economic development in China: a provincial-level empirical analysis

Sustainable economic development is a hot issue in current research, and it is of great significance to analyze the effects of air pollution and population agglomeration on sustainable economic development. This study collects the relevant data released by the Chinese government from 2011–2021, and empirically analyzes the method of constructing an individual one-factor fixed-effects model in order to explore the impacts of SO2 emissions and population agglomeration on sustainable economic development. Through the analysis, it is found that SO2 emissions are negatively correlated with sustainable economic development, and the direction and intensity of its influence are affected by urbanization level, industrial structure, and living standards of residents. The influence of population agglomeration on economic sustainable development is positively correlated. Meanwhile, through the sub-regional study, we further confirmed that the impact of the above influencing factors on the sustainable economic development of different regions is different. Therefore, in order to promote sustainable economic development, it is necessary to further identify the stage of sustainable economic development according to the actual situation of different regions, and to effectively integrate factors including the environment, population, urbanization, industrial structure, etc.

A Mediating Effect of Economic Stability and Market Opportunities on the Relationship between Entrepreneurial Resources and Entrepreneurial Intention

Entrepreneurship plays a crucial role in economic development, particularly in emerging economies like China. Understanding the determinants of entrepreneurial intention is essential for fostering entrepreneurship and driving economic growth. This study investigates the mediating role of economic stability and market opportunities in the relationship between entrepreneurial resources and entrepreneurial intention, focusing on the contrasting environments of Sichuan and Shanghai in China. Drawing on resource-based view theory and opportunity recognition theory, this research proposes a conceptual model that posits entrepreneurial resources as antecedents to entrepreneurial intention, with economic stability and market opportunities as mediating variables. Data were collected through structured surveys from a sample of entrepreneurs in Sichuan and Shanghai. Preliminary findings suggest that entrepreneurial resources positively influence entrepreneurial intention, and this relationship is partially mediated by economic stability and market opportunities. The contrasting economic landscapes of Sichuan and Shanghai provide a unique context for understanding how regional differences impact the relationships among these variables. This study contributes to the entrepreneurship literature by providing empirical evidence on the mediating mechanisms through which economic stability and market opportunities influence the relationship between entrepreneurial resources and entrepreneurial intention. The findings offer practical implications for policymakers and practitioners seeking to enhance entrepreneurial ecosystems and promote sustainable economic development in different regions of China. Further research could explore additional contextual factors and expand the scope to other regions or countries for comparative analysis.

Spatial and Heterogeneity Analysis of Environmental Taxes’ Impact on China’s Green Economy Development: A Sustainable Development Perspective

Environmental taxation is an important tool used by governments to promote resource conservation and environmental protection. Given the current global constraints on resources and increasing environmental degradation, exploring how environmental taxes can effectively stimulate the development of a green economy is of utmost importance. This study utilized panel data from 30 provinces, autonomous regions, and municipalities in China, covering the period from 2006 to 2020. The research findings indicate a spatial correlation between environmental taxes and green economic efficiency in China, with the former significantly promoting the development of the latter. A heterogeneity analysis revealed varying impacts of different taxes on the efficiency of green economic development in different regions. Controlling for variables, the study results demonstrated a negative correlation between industrial structure and green economic efficiency, with a significance level of 1%. Additionally, no correlation was found between pollution control efforts and green economic benefits. The effects of different taxes on regional efficiency varied, and industrial structure exhibited a negative correlation with green economic efficiency. This study recommends strengthening intergovernmental coordination, improving tax policies, optimizing industrial structure, and enhancing the pollution control efficiency of local governments to promote China’s green economy.

Threshold effects of green technology application on sustainable grain production: Evidence from China.

Sustainable production is considered as an important approach to solve the dilemma of food insecurity. Green technologies have made contributions to improving food production and reducing environmental pollution. Studying the effects of green technologies on sustainable food production has great significance. The paper started with the influence mechanism of green technology application on the green total factor productivity of grain (GTFPG). With the GTFPG, green technology efficiency change of grain (GECG) and green technical progress change of grain (GTCG) measured, threshold models were constructed to explore the nonlinear impacts of various green technologies on GTFPG and the influence paths. Results indicated that the differences of GTFPG among provinces in China were decreased mainly due to the changes of GTCG, while the regional differences of GECG remained small. The impacts of green technologies had threshold effects that depended on the ecological effects of green technologies in different application stages, and were significantly different in the major and non-major grain producing areas. Meanwhile, significant differences existed in the influence paths of green technologies. In the major grain producing areas, green technologies were more likely to improve GTFPG through the GTCG path; while in the non-major grain producing areas, the GECG path and the GTCG path were both important to improve GTFPG. The differences of green technologies' threshold effects and influence paths in the major and non-major grain producing areas were caused by regional technology preference, resource endowment and technology compatibility. This study emphasizes that the development of green technologies should fully consider the resource endowment and economic development of different regions, as well as the applicability and adoption rate of green technologies.

ЭКОНОМИЧЕСКОЕ РАЙОНИРОВАНИЕ

This article provides a theoretical analysis of the importance of economic zoning in the Russian Federation at the federal and regional levels. The article emphasizes that administrative-territorial division plays a key role in the analysis of economic indicators and in the development of strategic development. At the federal level, there are eight federal districts, each of which defines several subjects of the Russian Federation. At the regional level, programs and measures are being implemented to support and stimulate the economic development of different regions. It is considered that economic zoning is aimed at achieving sustainable and balanced development of the regions as a whole, improving the quality of life of the population and attracting investment.

The Impact of Population Migration on Regional Economic Growth: A Case Study of Heilongjiang Province

China is the most populous country in the world. With the rapid development of China's Reform and Opening-up as well as the reform of the economic system, the problem of multi population in China has emerged, the most prominent of which is the problem of population migration. Population migration is one of the important factors that affect the development of regional economy. Since the Reform and Opening-up, the unbalanced and inclined economic development strategy of regional economy implemented in China has ignored the balance goal in emphasizing the economic benefit goal. The country's investment focus and policy dividend are inclined to the coastal areas. Behind the rapid economic development of China, the imbalance of economic development among regions has gradually become one of the hidden dangers of China's economic development. Various studies at home and abroad have shown that the unbalanced development of regional economy will cause many hazards, such as conflicts or even distortions in regional interest relations, unreasonable resource distribution and utilization, and the widening income gap. Among the population migration issues, Heilongjiang Province is typical, and many regional studies on Heilongjiang region focus on the government system, industrial structure and other reasons, and often ignore the factors of population migration. With the rapid economic development of different regions, the difference in regional economic development has become an important problem in China's rapid development. Excessive regional economic development gap will inevitably lead to a series of social problems and a vicious circle. The core of this study is to explore the impact of population migration on economic growth in Heilongjiang Province. Through combing relevant literature, based on the theory of population migration and the relevant theories of regional economic growth, theoretical analysis and assumptions are made on this issue. Based on the panel data analysis of 13 prefecture-level cities in Heilongjiang Province, the following conclusions are drawn through empirical analysis. Firstly, the migration of Heilongjiang population has a positive impact on economic development. Secondly, government policies and industrial structure have a significant impact on Heilongjiang's economic development.

Based on the Principal Component Analysis of Our Country's Regional Economic Development Level of Comprehensive Evaluation

China has a vast territory, but due to the influence of historical development, resource endowment, natural conditions, population, policy and other factors, there are great differences in the level of economic development in different regions. In this paper, through the establishment of China's provinces, municipalities, autonomous regions of social and economic development research, the use of principal component analysis method, the level of economic development in China's various regions to make analysis, put forward the corresponding suggestions.

Industrial structure optimization, economic development factors and regional economic risk prevention in post COVID-19 period: empirical analysis based on panel data of Guangdong regional economy.

In the post-COVID-19 period, the regional economic development gap in Guangdong has expanded and the risk has increased. This is not conducive to building a well-off society in Guangdong in an all-round way. Optimizing the industrial structure, changing the mode of economic growth, preventing regional economic risks, and narrowing the regional economic development gap are the focus of Guangdong governments at all levels. Based on a two-sector economic growth model, the paper uses descriptive statistics and Deng's grey correlation method to analyze the economic development panel data of 21 prefecture-level cities of Guangdong Province from 2011 to 2018, analyzes the characteristics of regional economic development in Guangdong, and makes experimental research of the effect of industrial structure optimization and economic development factors on economic growth in Guangzhou, Zhongshan, Shantou, Maoming and Meizhou at different stages of development. The results show that: there are differences in the industrial structure and the level of economic development in different regions; the rationalization of industrial structure and upgrading of the industrial structure has an impact on economic growth and show different features during different stages; in different stages of economic development, foreign trade, scientific and technological innovation are the main factors affecting regional economic growth. This paper holds that the northwest of Guangdong Province and the Pearl River Delta should formulate industrial structure adjustment policies to promote the rationalization of regional industrial structure, expand foreign trade channels and innovate financing mechanisms, and restrain regional economic risks in combination with regional characteristics. The new development pattern of domestic and international dual circulation and mutual promotion, further expands the level of opening up, effectively playing the role of free trade pilot areas, free trade ports, special economic zones, development zones, bonded areas, and other frontier highlands, improve the level and capacity of foreign trade.

Business environment, human capital structural upgrading, and economic development quality

To verify the importance of optimizing a business environment and improving the level of human capital structure to promote economic development, this study employs a panel data of 30 Chinese provinces from the period 2008–2019 and utilizes the spatial Durbin model and quantile regression model to analyze the relation between a business environment, human capital structure upgrading, and economic development quality. We find that the quality of economic development has a strong spatial correlation and the improvement in the business environment promotes human capital structural upgrading and economic development quality. Human capital structural upgrading plays a significant intermediary role, through which improvement in the business environment affects economic development quality. Considering the huge differences in the level of economic development in different regions of China, we also conduct a regional heterogeneity analysis. We find that the promotion effects of the business environment and advanced human capital structure on economic development quality are significant within the sample period, and their promotion effects are significantly heterogeneous and asymmetric across quartiles, indicating that there is heterogeneity in the intensity of dependence of economic development quality on advanced human capital structure and business environment at different stages of economic development. Moreover, by observing the impact trends in the eastern, central, and western regions, we find that the impact of the business environment and human capital structure on the quality of economic development varies somewhat across provinces. This suggests that the eastern and central regions need to strengthen the optimization of the business environment, while the eastern and western regions should pay more attention to the improvement of the level of the advanced human capital structure.

Analysis of Regional Economy Development on Local Environmental Protection and Natural Resources Utilization from the Perspective of Big Data.

The ecological restoration and civilization construction is one of the key tasks in China. The economic development of different regions has different effects on the resource protection and utilization. In the face of complex natural conditions and resource-rich areas, how to carry out the ecological environment promotion work is put forward. The urbanization level of the Yangtze River region increases from 17.9% to 60.6%, showing the characteristics of rapid expansion. In the face of urban diseases such as unreasonable industrial layout, it is urgent to improve regional economy and promote green urban development from the perspective of big data. Adhering to the concept of ecological priority, the development of digital technology drove the development of local economy in 2019, accounting for 43% of the national population. While promoting the economic development, it is of great significance to ensure the efficiency of resource utilization and promote the high-quality development of common economy.

The influence of FDI and environmental uncertainty on the business performance of enterprises-- A case study of manufacturing enterprises

Based on the panel data from 2016 to 2020 in various provinces, the influence of FDI and environmental uncertainty on the business performance of enterprises is analyzed in this paper. According to the research results, it is found that, under the regulation of environmental uncertainty, FDI has a significant positive influence on improving the business performance of China's enterprises, while the enhancement of environmental uncertainty will significantly weaken the influence of FDI on business performance of enterprises, namely, inhibition effect will appear;In addition, due to the different regulatory effects of factors including the degree of economic development in different regions, a significant difference between the influence of FDI on business performance has formed. Finally, from the macro perspective, some suggestions that the state and the government should give support to manufacturing enterprises from the aspects of macroeconomic environment and policies are proposed in the paper. And from the micro perspective, manufacturing enterprises should look for measures to release the vitality of enterprises according to the internal factors affecting the business performance from the behavior of their micro-economic subjects is also put forward in this paper.

The influence of FDI and environmental uncertainty on the business performance of enterprises-- A case study of manufacturing enterprises

Based on the panel data from 2016 to 2020 in various provinces, the influence of FDI and environmental uncertainty on the business performance of enterprises is analyzed in this paper. According to the research results, it is found that, under the regulation of environmental uncertainty, FDI has a significant positive influence on improving the business performance of China's enterprises, while the enhancement of environmental uncertainty will significantly weaken the influence of FDI on business performance of enterprises, namely, inhibition effect will appear;In addition, due to the different regulatory effects of factors including the degree of economic development in different regions, a significant difference between the influence of FDI on business performance has formed. Finally, from the macro perspective, some suggestions that the state and the government should give support to manufacturing enterprises from the aspects of macroeconomic environment and policies are proposed in the paper. And from the micro perspective, manufacturing enterprises should look for measures to release the vitality of enterprises according to the internal factors affecting the business performance from the behavior of their micro-economic subjects is also put forward in this paper.

Application of Improved BP Neural Network in the Optimization of Regional Economic Energy Consumption Structure

At present, local regions have the problems of low optimization dimension and unbalanced supply side in the energy consumption structure in the process of economic development. Based on this, this paper studies the optimization method of the regional economic energy consumption structure based on big data and BP neural network analysis strategy and designs an intelligent extraction model of the regional economic energy consumption structure based on the BP neural network. According to the correlation and internal matching of energy consumption data involved in the process of economic development in different regions, the quantitative high-value analysis of regional economic energy consumption structure is realized, and the accuracy of the analysis results is analyzed by Newton Leibniz theory. The results show that the optimization model of regional economic energy consumption structure based on the BP neural network can effectively improve the application scope and data utilization of energy consumption structure, effectively complete the intelligent classification of energy consumption of different enterprises, and indirectly improve the energy utilization and matching efficiency of the regional economy.

Research on the Spatial-Temporal Differentiation and Path Analysis of China’s Provincial Regions’ High-Quality Economic Development

High-quality economic development is an important approach for achieving sustainable economic development, and it is an essential condition for coordinated development between economic systems and ecosystems. This paper starts from five key points, namely, “innovation, coordination, opening-up, sharing and greenness”, to construct an evaluation system for the index of high-quality economic development, using the AHP and EVM methods to measure the level of high-quality economic development of 30 regions in China from 2004 to 2019. It uses the kernel density estimation model (hereinafter referred to briefly as KDE) and clustering method to analyze time evolution trends and spatial variation characteristics. Moreover, the LSE model is adopted to explore and analyze the factors influencing high-quality economic development in different regions. Additionally, the driving forces of China’s high-quality economic development are analyzed by means of path analysis combined with the average value of each index. The results show the following: (1) The high-quality economic development of 30 regions in China (excluding Hong Kong, Macao, Taiwan and Tibet) is spatially clustered, with obviously different development levels, characterized by the eastern region being better developed than the central and western regions. (2) With the passage of time, the polarization of China’s 30 regions has been alleviated, but they are still facing challenging development situations; (3) The factors affecting the high-quality economic development of these 30 regions in China can be divided into four types: three-factors, four-factors-I, four-factors-II and five-factors. Contributing regional factors show different distribution characteristics. The above conclusion provides a reference and scientific basis for the government to formulate policies of high-quality economic development and to solve problems facing coordinated sustainable development among regional societies, their economies and the environment.

Spatiotemporal impact of railway network in the Qinghai-Tibet Plateau on accessibility and economic linkages during 1984–2030

The socioeconomic effects of the railway network on the Qinghai-Tibet Plateau (QTP) received wide attention, but most studies are qualitative studies with a short period and small spatial scope. We explored the impact of the plateau railway network on the internal and external accessibility and economic linkage of the QTP during 1984–2030. The average shortest travel time (ASTT) and the weighted average travel time (WATT) were used to measure the spatial railway accessibility. Then the gravity model was used to calculate the economic linkage between cities, and the contribution rate of the railway network to the growth of economic linkage was quantitatively identified. The ASTT within plateau cities decreased dramatically during 1984–2030. The WATT between the plateau cities and the 28 capital cities outside the plateau also decreased by 42.4–88.5%. The imbalanced economic development in different regions and their linkage to the QTP railway network increased the spatial inequity of accessibility in China's central and eastern regions from 1984 to 2030. The economic linkage between six plateau cities and 28 capital cities increased obviously. The contribution rate of railway construction to the growth of the total economic linkage increased substantially with the evolution of the railway network. For railway planning of remote areas, policymakers should consider railway accessibility and its socioeconomic effects and spatial inequity in the long term.

A comprehensive assessment of the performance of China’s provincial zero-waste cities and impact factor diagnosis

The large disparities in resource endowment and economic development in different regions have caused large differences in promoting zero-waste (ZW) cities. This study comprehensively considers the whole life cycle chain of solid waste and the guarantee mechanism for promoting the development of ZW cities, and constructs an index system from four dimensions: solid waste reduction at the source, solid waste resource utilization, solid waste final disposal, and development of security capacity. Furthermore, it adopts the TOPSIS–entropy weight method to evaluate the development status of ZW cities in 31 provinces, autonomous regions, and municipalities under the Central Government of China from 2010 to 2019 (Hong Kong, Macao, and Taiwan were excluded due to lack of data). The results show an upward trend of ZW levels in twenty-five provinces; a downward trend in four provinces, namely, Fujian, Heilongjiang, Jilin, and Liaoning; and a roughly f lat trend in two provinces, namely Henan, and Ningxia. Yunnan, Gansu, and Guizhou provinces have the most significant improvement in the ZW levels. Meanwhile, the eastern region has the highest ZW level, followed by the central and western regions. Combined with Geographic Information System (GIS), the solid waste management capacity of each region was analysed on the basis of the aforementioned four dimensions. Spatial differences were determined in the solid waste management characteristics of different regions. In terms of source reduction, the central and a few western regions have the best performance. Furthermore, the final disposal in the north is higher than that in the south, and the resourcefulness and development of security capacity show a clear decreasing trend from the east to west. Using a multiple linear regression analysis model, we analysed the potential factors affecting the ZW level of each region from four aspects: economy, technology, resource endowment, and education. The results indicated significant differences in the role of the same type of index in the ZW levels in each region. This paper assessed the performance of China’s ZW cities from both temporal and spatial perspectives, and the relevant influencing factors were further examined. It can provide a theoretical support and decision-making basis for China to improve ZW level further, narrow down the regional gaps, and implement green development and high-quality economic transformation, with important theoretical and practical values.

Multi-objective Dynamic Reconfiguration for Urban Distribution Network Considering Multi-level Switching Modes

The increasing integration of photovoltaic generators (PVGs) and the uneven economic development in different regions may cause the unbalanced spatial-temporal distribution of load demands in an urban distribution network (UDN). This may lead to undesired consequences, including PVG curtailment, load shedding, and equipment inefficiency, etc. Global dynamic reconfiguration provides a promising method to solve those challenges. However, the power flow transfer capabilities for different kinds of switches are diverse, and the willingness of distribution system operators (DSOs) to select them is also different. In this paper, we formulate a multi-objective dynamic reconfiguration optimization model suitable for multi-level switching modes to minimize the operation cost, load imbalance, and the PVG curtailment. The multi-level switching includes feeder-level switching, transformer-level switching, and substation-level switching. A novel load balancing index is devised to quantify the global load balancing degree at different levels. Then, a stochastic programming model based on selected scenarios is established to address the uncertainties of PVGs and loads. Afterward, the fuzzy c-means (FCMs) clustering is applied to divide the time periods of reconfiguration. Further-more, the modified binary particle swarm optimization (BPSO) and Cplex solver are combined to solve the proposed mixed-in-teger second-order cone programming (MISOCP) model. Numerical results based on the 148-node and 297-node systems are obtained to validate the effectiveness of the proposed method.