Regional Economic Development Model Research Articles

Coordinated Management Model of Water Resources Utilization and Regional Economic Development Based on Genetic Neural Network

Water resources are crucial for a nation's political, economic, and environmental stability. To ensure sustainable utilization, promoting water-saving technologies and management innovations is essential. This study focuses on genetic neural networks to establish a coordinated management model. Agricultural sectors, with a water intake of 2066.92 cubic meters per 10,000 yuan output value, dominate national water consumption. Secondary industries consume an average of 312.74 cubic meters, while tertiary industries use 143.62 cubic meters, and quaternary industries use 3.52 cubic meters. Strengthening public awareness and participation in water resource protection is vital. Through genetic neural networks, an economic management model for each subsystem is developed to foster continuous, stable, and harmonious regional economic growth.

Analyzing regional economic development from the perspective of sustainability using hybridized algorithm

Regional economic development objectives are improved economic, political, and social conditions in a certain area. Investment, production, innovation, wealth, and affluence are the four stages of regional economic development that may be identified in each selected area. It becomes more reliant on technological advancements in the industry and less on locally sourced production inputs as the economy region grows. The regional economic growth issue is inequality in the rates of improvement of subnational geographic regions and inequalities in the distribution of wealth. Intellectual algorithms or enhanced and hybrid algorithms based on machine learning, such as Fuzzy C-means clustering (FCM), principal component analysis, and algorithm, can newly achieve more appropriate solutions to practical issues of discrete, non-linear, non-differentiable, and various constraints. A hybrid algorithm combines two or more other algorithms that solve the same problem. Hence, this paper proposes a Principal Component Analysis for the Sustainable Regional Economic Development (PCA-SRED) model to enhance the efficiency in examining regional economic changes and industrial development zones. The data are taken from the Organization for Economic Cooperation and Development (OECD) regional statistics dataset. Using PCA, industries may be categorized based on shared criteria, and the whole spatial distribution law of datasets and common patterns can be uncovered. To create a long-lasting regional economic development plan, it is crucial to categorize, compare, and evaluate the economic growth level of several areas. The research outcomes illustrate that the hybrid algorithms have high accuracy and a fast convergence rate because they can replicate the smart behavior of some clusters in nature while examing the variances in regional economic growth. The experimental outcomes illustrate that the recommended PCA-SRED model enhances the accuracy ratio by 98.2%, industry production ratio by 95.6%, regional economic change prediction ratio by 96.4%, and economic efficiency ratio by 97.8% compared to other popular models.

The impact of tax competition on urban-rural income gap: a local governance perspective

ABSTRACT In China, the regional economic development model affected by government competition is an important factor leading to the income inequality of urban and rural residents. This paper aims to study the influence mechanism of tax competition among local governments on urban-rural income gap from the perspective of government intervention and tries to explain the reasons for the gradual narrowing of urban-rural income disparity since 2010. Using a dynamic panel data of 30 provinces, this study reveals that tax competition has alleviated the urban-rural income gap, and this effect shows temporal extensibility and spatial correlation. It is more obvious in eastern and central China and consistent in different local tax categories. Although tax competition has narrowed the overall income gap, the wage income inequality has been exacerbated. In addition, local fiscal autonomy, urbanization, public service provision and industrial structure are the important influencing channels of the mechanism.

Long-term energy-environment-economic programming under carbon neutrality target: a study on China’s regional energy transition pathways and CO2 mitigation strategies

ABSTRACT Carbon neutrality is one of the key issues in mitigating global climate change. The carbon neutrality process accelerates the global energy transformation from fossil energy to renewable energy. Among the main indicators related to carbon neutrality proposed by the Chinese government, those directly related to energy include carbon emission intensity, the proportion of non-fossil energy consumption, and the total installed capacity of wind and solar power generation. It can be seen that the transformation of energy development is crucial for realizing carbon neutrality. Meanwhile, the correlation between carbon neutrality and economic development is not antagonistic. On the contrary, carbon neutrality can not only enhance the quality and efficiency of traditional industries but also improve the overall development of society. Therefore, the coordinated and sustainable developments of the energy - economy- environment (3E) system is the priority for achieving the target of carbon neutrality. However, the impact of carbon neutrality on regional development requires long-term consideration, which increases the difficulties of comprehensive planning. In this study, a long-term comprehensive programming model of regional energy and economic development under carbon peaking and carbon neutrality targets was established. A carbon neutrality assessment indicator (CNAI) framework was constructed to assess the effect of carbon neutrality actions in different regions. Meanwhile, a LEAP model was developed to simulate energy demand and carbon emissions. The multi-target weights determined by assessment results of CNAI and the parameters range set by LEAP model were the basis of the multi-objective optimization model to support regional development. Furthermore, the proposed method was applied to Shaanxi province in China, which offered quantitative targets and suggestions for energy structure transformation and industrial structure adjustment. The results show that coal and oil will account for 6.25% of the total energy consumption and the proportion of secondary industry will drop to 25.40% by 2060. The method established in this study provides a new scientific approach for resolving multi-objective trade-offs in long-term programming and determining a reasonable optimization range for regional development under climate mitigation policies.

Application of intelligent analysis based on project management in development decision-making of regional economic development

ABSTRACT In order to improve the decision-making effect of regional economic development, this paper analyzes the decision-making model of regional economic development in combination with the engineering management process, and proposes a density-based outlier detection algorithm. Moreover, this paper analyzes the process and characteristics of the LOF algorithm, adopts the ZH-tree index structure based on the space filling curve, and improves it appropriately. The clustering feature can help to quickly search for neighbors of objects, and the hierarchical structure can perform effective spatial pruning to reduce unnecessary computation. The experimental research shows that the decision-making model of regional economic development based on the intelligent analysis of project management proposed in this paper can effectively improve the decision-making effect of regional economy.

The Efficiency of Energy Infrastructure Investment and Its Regional Economic Impact.

This study constructed an input-output and environmental indicator combination framework to evaluate the efficiency of energy infrastructure investment. Furthermore, the study used a three-stage DEA model to evaluate the efficiency of energy infrastructure investment projects in Jiangsu Province. Subsequently, the study constructed a system of indicators to measure regional economic development and assigns weights to them using the entropy value method, to obtain a comprehensive regional economic development score. Finally, this study analyzed the impact of energy investment efficiency on regional economic growth, economic stability, and industrial structure optimization. The study results show that the efficiency of energy infrastructure investment varies widely across Jiangsu and is highly correlated with the regional economic development model, the level of economic development, and the importance of the industry. The study also reveals that the improvement of energy infrastructure investment efficiency in Jiangsu fails to reflect the level of regional economic development; however, it has a crucial role in increasing social wealth and transforming the regional industrial structure and economy. Based on these results, this study further proposes countermeasures, such as planning a reasonable scale of investment, implementing differentiated regional investment, and upgrading management and technology.

Research on the protection and inheritance of intangible cultural heritage under the background of rural revitalisation

Abstract The strategy of ‘rural revitalisation’ is put forward to better realise the integrated development of rural economy, society, culture and ecology. A well-off society should be an all-round developed society. Intangible cultural protection is an important foundation for rural revitalisation. Intangible culture is not only the regional cultural heritage, but also the foundation of regional economic development. Fully integrating culture with rural industries is conducive to the all-round development of rural society. The protection of intangible cultural heritage should be based on scientific methods. Scientific means must be used to investigate and calculate the quantity and types of intangible culture in the region, so as to formulate scientific protection strategies. At the same time, the protection of intangible cultural heritage should be organically combined with rural revitalisation, and the intangible cultural heritage resources should be utilised to innovate the regional economic development model, so as to form a benign interaction between economic development and cultural protection, that is, to realise a real sustainable development model.

Retraction Note: Chinese regional economic cooperative development model based on network analysis and multimedia data visualization

Retraction Note: Chinese regional economic cooperative development model based on network analysis and multimedia data visualization

Study on the coupled coordination of the coordinated development of Circulation industry and Regional economy

By constructing the evaluation index system and system coupling model of Circulation industry development and Regional economic development, an empirical analysis of the coupling and coordination degree of Circulation industry development and Regional economic development in Tibet from 2016 to 2020 was conducted, the results show that the development and Regional economic development trend, the coupling coordination level increased year by year, the two gradually reach the development stage of coordinated development. In view of this result, this paper puts forward three development suggestions, hoping to provide a certain theoretical basis for relevant decisions.

A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining

The development of information technology such as the continuous improvement of mobile Internet infrastructure and the performance of computers has made it easy to process and share information. The huge market demand for location-based information services provides huge impetus to the generation and development of mobile terminal positioning technology. Generally speaking, the main causes of climate change can be summarized into two categories: natural climate fluctuations and the impact of human activities which is a major measure taken by China to actively respond to climate change. This is a successful approach to actively explore the rapid development of China’s industrialization and urbanization, which not only develops the economy and improves people’s livelihood but also responds to climate change and reduces carbon intensity. Firstly, this paper mainly is aimed at the connotation of regional low-carbon economic development mode, studying the basic mode of regional low-carbon economic development, and analyzing the characteristics and applicable conditions of each mode. Secondly, based on the machine learning algorithm of data mining, the main mode selection of regional low-carbon economic development is discussed. Thirdly and finally, when choosing the regional low-carbon economic development mode, comprehensive consideration should be given to the economic development basis, energy structure, resource characteristics, industrial status, development mode, geographic location, and other factors. This paper studies the basic conditions and applicable conditions of regional economic development models. The conclusion shows that from the perspective of regional economic evolution, low-carbon economy can be regarded as the decarbonization process of economic development. It is an economic form combining its own characteristics and an inevitable requirement for the transformation of regional economy from other economic models to low-carbon economic models. And other factors of Selection of regional economic development foundation, energy structure, resource characteristics, industrial status, development mode, geographical location, were also discussed.

Industrial clusters as an innovative model of regional economic development

Industrial clusters as an innovative model of regional economic development

Time Series Analysis of Economic Growth, Environmental Conditions and Their Coordination Degree: A Case Study of Provinces in Northeast China

Northeast China is an old industrial base and agricultural production base with a long history of industrial and agricultural development. Since the beginning of the 21st century, the contradiction between economic and social development and resource depletion and environmental damage has become increasingly acute due to the long-term extensive development model. Based on a long time-series data set, this paper aims to explore the regional economic development model, environmental problems, and coordination degree between them in Northeast China. The results show that the population in Northeast China presents an increasing trend at first and then a decreasing one, and the population distribution shows an agglomeration in the cities of Harbin, Changchun, Shenyang, and Dalian. Urban-related land uses and GDP growth also exhibits agglomerations centered on these large cities. According to the changing trend of regional GDP and environmental investment, the synergistic relationship between the parameters is compared on a temporal scale, and a positive correlation between economic growth and environmental development is observed. We conclude that economic growth is closely correlated with environmental protection. If more attention is likely to be paid to environmental protection, the cities will develop more healthily under the background of urbanization. Based on the current status of the economy and environment, this paper puts forward constructive suggestions on promoting the coordinated development of regional economy and improving the ability of ecological environment governance. Improving the ecological environment’s overall improvement capability through approaches such as adjusting the industrial structure, promoting the use of clean energy, strengthening industrial pollution control, controlling pollutant emissions, and promoting the construction of regional environmental infrastructure are all critical issues that must be resolved quickly to achieve coordinated development.

SUSTAINABILITY OF THE REGIONAL ECONOMY AND STRUCTURAL SHIFTS: THEORY AND PRACTICE

The article is devoted to the study of the problem of sustainable development of the regional economy in modern conditions, which is characterized by a high degree of unpredictability. This problem is of strategic importance for the reason that the political situation in the country primarily depends on the dynamics of socio-economic processes in the regions. The article discusses various interpretations of the category "stability of the regional economy" and the factors that determine the dynamics of the development of the situation in the regional economy. It is noted that this category is among the fairly controversial in modern economic science. However, there is no doubt that technology development will continue to play a strategic role in the face of ever-increasing competition between countries and regions. It is technologies that will be the most important condition for ensuring and maintaining a leading position. The article proposes a broader and more objective definition of the stability of the regional economy as the ability of the regional economy to quickly and effectively solve economic, social, environmental and other problems, which, ultimately, will allow not only to restore the trajectory of its development. Ideally, a sustainable regional economy should be capable of a high degree of adaptability to new conditions. Ensuring sustainable development of the regional economy presupposes appropriate institutional support: economic, political, social institutions not only contribute to the restoration of the previous trend of regional development. It is modern institutions that ensure the transition to a new model of regional economic development, which is characterized by a more efficient use of economic, human, financial and other resources.

Retraction Note: Mountain rainfall forecast and regional environmental economic development model based on remote sensing images

Retraction Note: Mountain rainfall forecast and regional environmental economic development model based on remote sensing images

RETRACTED ARTICLE: Mountain rainfall forecast and regional environmental economic development model based on remote sensing images

RETRACTED ARTICLE: Mountain rainfall forecast and regional environmental economic development model based on remote sensing images

A seamless economical feature extraction method using Landsat time series data

Regional economic development describes the total social and economic activities in a given time and space. An objective understanding of the real regional economy is beneficial for healthy, sustainable societal development. Generally speaking, the understanding of the regional economy is mainly based on social surveying, which incurs time and energy costs and lacks objectivity. Therefore, this study proposes a seamless economical feature extraction method using the advantages of Landsat time series based on the morphologic changes of the earth’s surface caused by regional economic development. First, the land-use/cover changes of the earth’s surface were collected using Landsat time series; second, the correlations between land-use types and regional economic indices were analyzed and the optimal sensitive factors were selected. Third, a regional economic development model was constructed from the perspective of the land-use/cover change observed by remote sensing technology. Finally, the accuracy was evaluated in order to assess the validity and applicability of the model. The Zhoushan Islands of China were chosen as the research area for the verification experiment. From the results, the construction land is the most significant sensitive factor that correlates closely with various economic indices, and its correlation coefficients R with gross domestic product (GDP), value-added of primary industry (VPI), value-added of secondary industry (VSI), and value-added of tertiary industry (VTI) were 0.9591, 0.9390, 0.9546, and 0.9573, respectively. The regional economic development model constructed is simple, clear, and highly accurate; the determination coefficient R2 was 0.9884. This study opens up unique opportunities for the objective, seamless understanding of regional economic development from the perspective of land-use/cover change using Landsat time series, as well as the correction of economic survey data, both with a high degree of accuracy.

Research on Regional Economic Development Model based on Multiple Spatial Economic Models under Eviews Software

Promoting the development of regional economic zones is a major national strategy. It is of great theoretical value and practical significance to explore and study the development of regional economic zones to promote high-quality computer development. Based on the development characteristics of regional economic zone, this paper establishes a revised multi-dimensional spatial economic model, and systematically analyses which mode of regional plate and regional economic integration is more suitable for the high-quality development of regional economic zone. The results show that for multi-dimensional spatial economies, regional economic integration development model is better than regional plate development model. Regional economic integration development model can improve the overall economic development efficiency and combining with eviews software is conducive to high-quality economic growth.

World experience of innovative cluster model of regional development: priorities of adaptation in Ukraine

Introduction. In many countries around the world, globalization is accompanied by the intensification of clustering processes, which is recognized as the best opportunity to strengthen and develop small and medium-sized businesses, increase the competitiveness of enterprises in the development of international relations and interregional partnerships. Cluster formations are relevant for developed countries, as well as for those in the development stage, in which small and medium-sized businesses are the basis of the economy, provide the production of the bulk of GDP and provide employment for a significant part of the working population. Purpose. The article is devoted to the review of the experience of developed countries in the implementation, support and development of clustering as the best opportunity to strengthen and develop small and medium-sized businesses, increase the competitiveness of enterprises, the formation of strong international ties. The study aims to assess the world experience in terms of formation and implementation of economic interests and priorities of adaptation in Ukraine. Results. To identify the priorities of clustering as a progressive model of regional economic development, the peculiarities of the formation and development of cluster structures in the most developed countries are considered. Peculiarities of cluster formation in the USA, Great Britain, France, Japan, China, and Germany are highlighted. In European countries, about 70% of cluster structures operate in the industrial sector. In India and Japan, more than 65-70% of enterprises are active members of clusters, in the United States; more than 50% of enterprises operate as part of cluster associations. The economies of Denmark, Norway, Finland and Sweden are affected by clustering, and the activity of creating clusters in China and Southeast Asia has increased significantly. The characteristic features of the cluster model in each of the countries and the role of clusters in the formation of the country's GDP are revealed. It is established that innovation is the basis of the cluster model in any country. The influence of state regulation and regional programs on the development of cluster formation is noted. It is noted that a few decades ago clustering developed slowly, spontaneously and chaotically, but now it is a powerful tool of interaction between the state, research institutions, business sector, which is implemented through the mechanism of financing research institutions with equipment and resources. Conclusion. The review of innovative cluster models of developed countries testifies to their focus on innovative development and relevant state policy. Also, clustering, which in itself involves a partnership of participants, can be successful when there is close cooperation of business with different areas and specialization of research institutions that provide development of different types of innovations. The priorities of adaptation of the world experience of the innovative cluster model to the Ukrainian realities are substantiated: sustainable development of small and medium business; brand creation; involvement in cluster formation of regional level institutions, creation of a local cluster structure; long-term perspective of cluster formation. The article is devoted to the Review of experience of development of the countries concerning Implementation, support and development of clustering as the best opportunity for strengthening and development of small and medium business, Increase of competitiveness of the enterprises, formation of strong international communications. Research of orientations is based on an estimation of world experience from a position of formation and realization of economic interests and priorities of adaptation in Ukraine. The world experience of the innovative cluster model is highlighted. Features of cluster formation in the USA, Great Britain, France, Japan, China, and Germany are considered. The characteristic rids of the cluster model in each of the countries and the role of clusters in the formation of the country’s GDP is revealed. It is established that innovation is the basis of the cluster model in any country. The influence of state regulation and regional programs on the development of cluster formation is noted. The Priorities of adaptation of the WORLD experience of the innovative cluster model to the Ukrainian realities are substantiated: sustainable development of small and medium business; creating a brand; Involvement in clustering of regional level institutions, creation of a local cluster structure; long-term perspective of cluster formation.

Construction of regional economic development model based on satellite remote sensing technology

Construction of regional economic development model based on satellite remote sensing technology

Towards more dispersion: the geographical evolution of China's development zones

ABSTRACT The development zone (DZ) is a typical representative of China's regional economic development model. By comparing the development pattern of DZs in China from 2005 to 2017, we find that there was strong imbalance in 2005, but this trend decreased in 2017, mainly due to the rapid increase in the number of DZs in the central and western regions. Moreover, there is a significant correlation between the spatial pattern of the DZs and economic development. But compared with the spatial pattern of economic development, DZs have dispersed more strongly from 2005 to 2017. Indeed, the rapid dispersion of DZs has not fundamentally changed the imbalanced pattern of China's economic development from 2005 to 2017.