Economic Structure Optimization Research Articles

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.

Scale or effectiveness? The nonlinear impact of talent agglomeration on high-quality economic development in China

Talent agglomeration serves as a vital pathway for achieving high-quality economic development. This paper, based on provincial panel data from China spanning 2011–2020, first analyses the impact of talent agglomeration on high-quality economic development from two dimensions: the talent agglomeration scale and effectiveness. Second, with innovation activity as a threshold variable, this paper explores the nonlinear impact of the talent agglomeration scale and effectiveness on economic efficiency improvement and economic structure optimization. This study finds that (1) the main driving force for high-quality economic development within the sample period comes from the talent agglomeration scale, while the promoting role of talent agglomeration effectiveness has not yet passed significant tests. (2) Under different levels of innovation activity, the talent agglomeration scale has a diminishing marginal utility impact on economic efficiency improvement and economic structure optimization; talent agglomeration effectiveness also has different nonlinear effects on economic efficiency improvement and economic structure optimization.

Under the Background of Economic Structure Optimization, Environmental Governance Promotes Macroeconomic Structural Adjustment Measures

Along with the implementation of reform and opening up in the 1970s, China’s economy entered a period of rapid development. During this period, the economic structure of our country has gradually changed from the primary industry to the secondary industry. Even today, the industrial industry still plays a very important role in the economic structure of our country. The industrial chain such as the real estate industry, chemical industry, and manufacturing industry is still the main industrial structure that promotes our economic growth for a long time. However, as the energy of industrial development is obtained by massive consumption of fossil fuels, the economic development brought by industrial development is behind the serious environmental pollution problem. We gradually realize that economic development cannot be based on environmental damage, but although our country has been committed to reversing the situation of environmental sacrifice for economic development at the beginning of the discovery of problems, the effect is very little. Therefore, how to maximize environmental protection under the current economic structure is the issue to be discussed in this paper. This paper mainly summarizes relevant experience through domestic and foreign literature, and clarifies the macro relationship between environmental governance and economic structure, and then discusses it from three dimensions: technological innovation, consumer demand, and international trade. The final results show that different types of environmental regulations have different effects on industrial structure, and the effectiveness of policy incentive regulation is about 23% higher than that of command control regulation. At the same time, according to the analysis results of economic structure upgrading in the Pearl River Delta region, the effect of environmental regulation on the regional industrial structure is also different, and the average effect can improve the overall industrial structure optimization rate by about 36%.

Improvement of agricultural productivity and optimization of rural economic structure from a digital perspective

Abstract This paper first analyzes and researches the current practice status of digital transformation of Chinese agricultural production from production, credit, and management aspects. Then, it analyzes the measurement of agricultural production efficiency and the factors influencing agricultural production efficiency in the context of digital transformation by using DEA measurement tools. The impact of digitalization level enhancement on rural economic structure is also analyzed and explained from the perspective of technological progress bias through spatial econometric models. The results show that the level of digitalization promotes the development of agricultural modernization in terms of the change in the ranking of scores between 2014 and 2023. The correlation coefficients of the level of digital economy development, financial support for agriculture, and urbanization rate are 0.483, 1.163, and 0.764, which significantly promote the efficiency of agricultural production in China. There is a significant spatial dependence relationship between economic structure and digital transformation (P<0.001).

A Social Network Analysis Approach to Explore the Dualistic Interaction between the Digital Economy and Industrial Economics

Abstract In recent years, the digital economy has continuously innovated the traditional industrial economy and brought about the continuous optimization of economic structure. In recent years, the digital economy has continuously innovated the traditional industrial economy and brought about continuous optimization of economic structure. By combining the AP clustering algorithm, this paper creates a representative viewpoint extraction model that extracts the relevant features of relevant variables and generates a more representative economic viewpoint. The social network structure between the digital economy and industrial economics is analyzed using the social relationship graph. Using the information gain calculation formula, the correlation calculation is carried out on the characteristics of variables with stronger relationships and larger information gain. Meanwhile, the correlation coefficient between variables with larger information gain is calculated by Spearman’s coefficient. The influencing factors of industrial economic development under the digital economy are analyzed through three dimensions, and the theoretical model of group effect analysis is constructed to analyze the binary interaction between the two. Through the method of empirical analysis, the interaction between the digital economy and the industrial economy is tested in terms of smoothness and cointegration. HP filtering, as well as impulse response analysis, are carried out to analyze the interaction between the two in A. After 9 groups of experiments, the cointegration number of the original hypothesis is 0 or ≥1, the original hypothesis is rejected at a significance level of 1%, and the eigenvalues range from 67.4566 to 69.7445, and there is a correlation between the two. The impulse response value of the industrial economy improves from 0.0002 to 0.001. The development of the digital economy will lead to the development of the industrial economy.

Structural Analysis and spatial impact of financial agglomeration effects on regional economic development

Abstract This study examines the impact of financial and industrial agglomeration on regional economic development through a descriptive analysis. By establishing an evaluation index system for financial agglomeration effects and constructing a spatial measurement model, we empirically investigate the dynamics between financial accumulation and economic growth. Our Analysis of 37 Chinese cities reveals that Moran’s I, indicating the spatial correlation of economic growth, varies between 0.300 and 0.410, suggesting a strengthening spatial correlation over time. These findings highlight the significance of financial agglomeration in regional economic development and suggest avenues for economic structure optimization.

Logistics density, E-commerce and high-quality economic development: An empirical analysis based on provincial panel data in China

Under the background of high-quality development, the e-commerce industry needs to seek more comprehensive development, and the logistics industry should not only maintain higher efficiency, but also meet the requirements of green and low-carbon transportation. This study aims to investigate the link between the logistic density and the proportion of e-commerce transaction scale. There are few studies on how logistics density affects the development of e-commerce quantitatively. In order to solve this gap, this study establishes an impact model of high-quality growth of e-commerce, and based on Solow production model, constructs a calculation method of logistics density, and analyzes the impact mechanism of logistics density on the scale ratio of e-commerce transactions. Using the bidirectional fixed effect model, this paper makes an empirical analysis of the panel data of 31 provinces consisting of 248 observations and autonomous regions in China from 2014 to 2020. The results show that logistic density has a positive and significant impact on the growth of e-commerce, thus promoting the optimization of economic structure. The acceleration of logistics density decreases the expansion of the ecommerce. Finally, there are obvious regional differences between the development of e-commerce and logistics infrastructure in China. Finally, based on the empirical result, this paper puts forward recommendations for government and companies.

Optimization of regional economic industrial structure based on fuzzy k-means algorithm

Optimization of regional economic industrial structure based on fuzzy k-means algorithm

COUNTERMEASURES OF OVERCOMING SOCIO-ECONOMIC INEQUALITY IN ETHNIC MINORITY AREAS OF SOUTHWEST CHINA

This paper adopts a comprehensive approach to investigate remedies to address socio-economic disparities in the ethnic minority regions of Southwest China, and constructs strategies to achieve spatially balanced economic and social progress in the area. The study has two dimensions: economic and social. First, it examines interventions in the economic domain, which includes aspects of economic efficiency, structural optimization, innovation-driven growth, infrastructure improvement, and human capital development. Second, it examines interventions in the social domain, which includes equity, governance, security, culture, and social welfare. The proposed spatial development strategies are of paramount importance in bridging the development gap between regions and urban-rural zones, and in promoting a harmonious society. These measures provide invaluable theoretical and practical implications for formulating strategic policies to promote first-class economic and social development in the ethnic minority regions of Southwest China.

Analyzing the Relationship between Green Finance and Agricultural Industrial Upgrading: A Panel Data Study of 31 Provinces in China

This study examines the impact of green finance on optimizing China’s agricultural industrial structure. It emphasizes the importance of innovative green financial services, improved efficiency, tailored regional approaches, and enhanced foresight to foster a high-level development in the agricultural sector amid China’s economic transformation. Based on the provincial panel data of 31 provinces in China from 2012 to 2021, this study empirically tests the effect mechanism of green finance on the optimization process of the agricultural industrial structure by constructing a fixed-effects model. This study finds that green finance can effectively promote the development of the optimization of the agricultural industrial structure. Under the current trend of China’s economic structural transformation and optimization, we suggest that China should innovate green financial service products, improve the efficiency of green finance, and enhance the depth of green financial services for the optimization of the agricultural industrial structure. It is required to strengthen foresight and improve relevant laws, regulations, policies, and standards. To help green finance be better promoted, a high-level development of the agricultural industrial structure is required.

Mediating Effect and Suppressing Effect: Intermediate Mechanism of Urban Land Use Efficiency and Economic Development

The limited nature of land supply determines that improving land use efficiency is an inherent requirement for economic development. The aim of this study was to quantitatively examine its impact. Most current studies have explored the quantitative relationship between urban land use efficiency (ULUE) and economic development, but less attention has been given to the mechanism of action of both. In this study, we construct an analysis framework for the mechanism of ULUE in promoting economic development from three aspects: economic scale, economic structure, and economic quality, and we quantitatively investigate its impact on economic development and intermediate action mechanism through a mediating effect model on the basis of measuring ULUE by using a super-efficiency SBM-undesirable model. Based on the analysis of the panel data of 56 cities in the Yellow River Basin (YRB), the results show that, first, ULUE has formed an ideal positive driving effect on economic development, and its influence mechanism has obvious heterogeneity in cities with different geographical locations and resource endowments. Second, ULUE affects economic development through three channels: economic scale-up effect, economic structure optimization effect, and economic quality enhancement effect, and there are two different mechanisms of mediating effect and suppressing effect. Finally, variables such as investment intensity of urban construction land and social benefit act as suppressing effects, while variables such as economic output density of urban land, industrial structure, employment structure, economic benefit, and environmental benefit play partial mediating effects. These evidence-based findings can provide practical guidance for solving the dilemma of a lack of economic development momentum and inefficient land use in a country or region.

Research on the Impact of Energy Price on Carbon Emission Intensity of China—An Empirical Study Based on LMDI Decomposition and Econometric Models

Taking the data of various sectors and three industries from 1980 to 2019 as the research object, the LMDI-I (Logarithmic Mean Divisia Index) multiplicative decomposition model, which is based on the principle of decomposing the change in energy consumption into the contribution of each factor, was used to decompose the carbon emission intensity into technological progress effect and economic structure changing effect. Meanwhile, quantitative econometric models of energy price, economic growth, energy consumption structure, and the two effects were also established. The empirical results showed that energy price, economic growth, and energy consumption structure significantly influenced the reduction in carbon emission intensity. A positive U-shaped relationship between energy prices and carbon emission intensity was overserved, and the rise of energy prices mainly drive the decline of carbon emission intensity through the effect of technological progress. However, the effect of economic structure driven by the rise of energy prices was limited; thus, further optimization of economic structure is needed. Additionally, the proportion of coal consumption was positively correlated with the technological progress effect and economic structure change effect, while the decrease in coal consumption proportion promoted the decline of carbon emission intensity. Finally, three recommendations based on the analysis were proposed.

Research on Promotion Mode of Wuyuan Specialty Based on Blockchain

Wuyuan's existing specialties have a long history and a rich variety, but due to geographical restrictions, insufficient market demand and the contradiction between the slow sale of goods under the epidemic situation, the development of Wuyuan's specialty retail industry has encountered bottlenecks. At present, blockchain as the underlying support technology of digital currency has been applied to varying degrees in the financial industry, sharing economy, supply chain management and other fields, while there is still insufficient research on the promotion of special products and the application of retail models. Relying on the characteristics of immutability, instant plasticity and decentralization of blockchain, this paper systematically analyzes the application status and development advantages of blockchain. In order to improve the efficiency of the supply chain and ensure the quality of the supply of special products, this paper combines preliminary practices such as field investigations, sorts out the sales model of Wuyuan specialties, puts forward development countermeasures and suggestions, and develops the "Four Colors Wuyuan" WeChat Mini Program suitable for product tracking and traceability by building a specialty sales platform that can supervise and feedback in real time, boosting the digital development of Wuyuan's economy, promoting the optimization and reform of economic structure, and helping rural revitalization.

Influence of COVID-19 Epidemic on Family Economic Vulnerability

The COVID-19 epidemic not only limited the consumption space of families, but also indirectly affected their sports consumption mode and motivation through income and other factors. Moreover, this is a complex dynamic process, which needs further analysis from more micro perspectives. In the short term, the COVID-19 has a large short-term impact on China's family economy; In the long run, with the further optimization of China's economic structure, the further strengthening of market regulation capacity, and the rapid introduction of a number of favorable measures by government departments to deal with the epidemic of pneumonia. During the COVID-19 epidemic, a large number of flexible employees were unable to obtain policy support such as free salary payment and layoff protection. They had no security such as vacation salary and health insurance, and received relatively limited social support. During the COVID-19 pandemic, informal workers generally faced health crisis and income reduction, and a large number of informal workers were on the verge of unemployment. The essence of these goals is to gain income and increase family wealth through financial management.

Communication Channels for the Rule of Law and Environmental Sustainability: Reflections from a Green Economy Perspective.

To realize the sustainable development of the environment from the perspective of green economy, it is necessary to effectively utilize the communication channels of environmental sustainability under the rule of law. As a new driving force for economic growth and ecological environment, green economy is analyzed from the perspective of coordinating economic and environmental development. This paper fully analyzes the impact of green economy on economic growth and ecological environment. Based on the inherent relationship, the rule of law and environmental sustainability are conducive to promoting economic growth and also play a continuous role in environmental improvement. Areas with a high level of economic development also have a higher proportion of resource consumption. Driven by technological innovation, green economy can effectively reduce the impact of the environment, promote sustainability, and further promote the coordinated development of the economy and the environment. The results of the case analysis show that, in the proportion of the green economy with a large amount of investment, compared with the traditional policies and regulations, it greatly reduces the aggravation of environmental sustainability and has a positive role in promoting the long-term development of the Chinese economy. It can not only effectively accelerate economic growth, but also realize the reflection from the perspective of green economy and promote the optimization of economic structure.

Security and Privacy Challenges using IoT-Blockchain Technology in a Smart City: Critical Analysis

A smart city is a comprehensive concept created by multiple digital industries. Smart city is a new generation of information technologies such as the Internet of Things, cloud computing, big data, and geospatial information to promote smart new ideas for urban planning, construction, management and services, power city operation and administrative management, industrial development, and public services in various fields. It is a modern high-end urban development form. A smart city is to establish a city center system by connecting terminals, applying information technology and network, and ultimately promoting the efficiency improvement and economic structure optimization in various fields. However, in the construction of smart cities, due to the sharing of a large amount of data, a lot of data leakage is caused, and data protection faces many challenges. The article first introduces the structure of smart cities, the challenges faced by smart cities in data protection and data privacy protection; then summarizes the characteristics, applications, and challenges of blockchain technology in the application of blockchain in smart cities, and makes reference to references. The corresponding comparisons are made, and the future challenges are finally summarized and proposed.

The Statistical Measurement System of High-Quality Development Level of Cities - Based on Yangtze River Delta Region of China

Combining China's development concepts of innovation, coordination, green, openness and sharing, the paper constructs a high-quality development measurement system of Yangtze River Delta of China, which contains five dimensions: the optimization of economic structure, the efficient allocation of resource, the stable growth of economic, the regional development coordination and the presentation of economic achievements. Using 2019 municipal data, the entropy weighted TOPSIS method was used to statistically measure the level of high-quality development level of 27 cities in the Yangtze River Delta region. And four categories of cities, namely excellent, good, normal and lagging, were classified. The results show that Shanghai has the highest level of high-quality development, and most cities have lower scores in the subsystem of the stable growth of economic. Finally, this paper makes targeted reasonable suggestions for cities, especially the lagging cities.

Research on the High-Quality Development of China's Trade Economy under the Background of Carbon Neutrality

Since China's reform and opening up, especially after its accession to the World Trade Organization, foreign trade has achieved fruitful results. But at the same time, the extensive growth mode of foreign trade with high energy consumption and high pollution has also caused a rapid increase in carbon emissions, especially in import and export trade, there are a large number of embodied carbon emissions. In order to achieve the strategic objectives of "carbon peak" and "carbon neutrality", and build a green trade system to achieve the coordinated and high-quality development of trade and environment, it is of great significance to study the carbon neutrality strategy for the high-quality development of China's foreign trade economy. According to the study, the optimization and upgrading of China's foreign trade and economic structure must be based on the carbon neutral strategy, which can effectively alleviate the impact of trade barriers brought by the trend of anti-globalization by weakening the dependence on energy imports. Especially for the export of low-end high-carbon industrial manufacturing products and the import of fossil energy, it has important strategic significance. Therefore, this paper puts forward relevant strategies for carbon reduction and emission reduction to promote the upgrading of trade and industrial structure.

A method for incorporating heterogeneity in measuring the economic carrying capacity of urban infrastructures

The economic carrying capacity of urban infrastructures (UIECC) refers to the ability that the urban infrastructures should have in order to achieve the goal of sustainable development of the urban economy. The UIECC is a crucial factor in the sustainable development of a city. Insufficient UIECC would cause many social problems. Different cities may have many differences in infrastructure construction, economic development and policy support, which lead to heterogeneity among them. If different cities are evaluated under a unified economic standard and criteria, the measurement results would be inaccurate. Therefore, the urban heterogeneity should be considered when calculating UIECC. Through review of literature, which includes indicator selection criteria and policy guidelines, this study establishes an indicator system of UIECC from the joint perspectives of carrier and load. Then, we developed a new UIECC evaluation method that considers heterogeneity, by combining the entropy weight method, the linear weighted sum method and the meta-frontier slack based measurement model. The meta-frontier slack based measurement model considers the slack variables and divides cities into different groups according to the heterogeneity between the cities, which makes the measurement results more accurate and more realistic. Following that, a study of the Beijing-Tianjin-Hebei region was conducted using data covering a period of 14 years (2004–2017) to demonstrate the application of the UIECC model. The results show that: 1) the model developed is applicable and effective for evaluating the UIECC; 2) the existence of heterogeneity hinders the coordinated development of cities; 3) the UIECC potential varies significantly between cities. Based on the results, the following suggestions are proposed: 1) It is important to take heterogeneous measures into consideration to improve the UIECC in the future according to development plans among cities; 2) It is necessary to remove the restrictions on infrastructure imposed by the administrative division between cities; 3) when planning infrastructure development, one should adapt a combined perspective of regional development and economic structure optimization.

Has the Economic Structure Optimization in China’s Supply-Side Structural Reform Improved the Inclusive Green Total Factor Productivity?

One of the goals of China’s supply-side structural reform is to improve total factor productivity (TFP). Considering the problems of environmental deterioration and income disparity faced by China, this paper first incorporates environmental pollution and income disparity as undesirable outputs into the TFP analysis framework, and extends the concept of inclusive green TFP (henceforth IGTFP).We measure and analyze the IGTFP in China’s provinces from 1995 to 2017 using the Malmquist–Luenberger index, and then examine, for the first time, the impacts of economic structural optimization in the supply-side structural reform on the IGTFP. The results are shown as follows. First, China’s national IGTFP index is significantly smaller than the traditional TFP index. That is, the traditional TFP without the constraints of environmental pollution and income disparity overestimates China’s real TFP. Second, there are significant regional differences in China’s IGTFP, the average annual growth rate of IGTFP shows a gradual downward trend from east to west. This would further exacerbate the regional imbalance in China’s economic development. Third, among the structural factors in economic structure optimization, industrial structure and energy structure are negatively correlated with the IGTFP, while factor structure, labor structure and urban–rural structure are all positively correlated with the IGTFP. These results imply that the economic structure optimization driven by supply-side structural reform will improve China’s IGTFP.