Comprehensive Regional Development Research Articles

Employment and development levels in rural areas of the Russian Federation

The development of agro-industrial complex is important for ensuring national food security and national health. The development of rural areas is subject to the development of agriculture and local infrastructure, as well as the availability of various services. This study selected 15 indicators in 2021 to analyze the employment and development levels in rural areas of 71 regions of the Russian Federation using the analytical grouping method. The results indicated that 20 regions (Group 1) had the highest percentage of rural population (33.10%). The percentage of population engaged in agriculture had the highest value (12.40%) in 31 regions (Group 2). Moreover, 20 regions (Group 3) had the highest investments in fixed assets at the expense of municipal budget (11.80 USD/person). Increasing the investments in fixed assets carried out from the budget of the municipality can improve the employment level in rural areas. Then, we used cluster analysis to divide 14 regions of the Volga Federal District in the Russian Federation into 3 clusters. Cluster 1 covered Kirov Region and Republic of Mari El; Cluster 2 included Ulyanovsk Region, Saratov Region, Nizhny Novgorod Region, Perm Territory, Orenburg Region, Chuvash Region, and Republic of Mordovia; and Cluster 3 contained Republic of Tatarstan, Samara Region, Udmurtian Republic, Penza Region, and Republic of Bashkortostan. Results indicated that the 2 regions of Cluster 1 need to increase the availability of resources and natural gas and improve the investment attractiveness of rural areas. The 7 regions of Cluster 2 needed to develop infrastructure, public services, and agricultural production. We found the highest employment level in rural areas, the largest investments in fixed assets at the expense of municipal budget, the largest residential building area per 10,000 persons, and the largest individual residential building area in the 5 regions of Cluster 3. This study makes it possible to draw up a comprehensive regional development program and proves the need for the development of rural areas, which is especially important for the sustainable development of the Russian Federation.

Factors That Influence Financial Performance with Capital Expenditure as a Moderating Variable in the Regency / City Government of Sumatera Utara Province

This study aims to analyze and evaluate (1) comprehensive regional development to produce regional growth that is in line with the regional budget; (2) making good and appropriate financial management so that the improvement of the economic development process has an impact after the implementation of the regional autonomy policy; (3) Each region can be responsible for regional authority in regional development so that good financial management is expected to be a reality for local governments to support their growth and development; (4) Increasing the potential of financial performance and this ability is indicated by compliance with specific rules and regulations as stipulated by SAP when managing financial. This research was conducted in the district /city government in the area of ​​North Sumatra Province. The population used was 33 districts/cities (25 districts and eight cities) with the year of observation for five years starting from 2018 to 2022 the number of observations was obtained as many as 165, the data used was secondary data, the data collection method which was the data documentation method was obtained From the Directorate General of Finance Balance of the Ministry of Finance of the Republic of Indonesia, the website of the Central Statistics Agency, the website of each regional government that is the research sample, and other related sources. The results of this study indicate that (1) Local own-source revenue has a significant positive effect on financial performance; (2) operating expenditure has a significant positive effect on financial performance; (3) Revenue sharing fund has a significant positive effect on financial performance; (4) General Allocation Fund has no significant effect on financial performance; (5) Special Allocation Fund has a significant positive effect on financial performance; (6) the working period of regional heads has no significant effect on financial performance; (7) capital expenditure can moderate the effect of local own-source revenue on financial performance; (8) Capital expenditure cannot moderate the effect of operating expenditure on financial performance; (9) Capital expenditure can moderate the effect of revenue sharing fund on financial performance; (10) Capital expenditure cannot moderate the effect of general allocation funds on financial performance; (11) Capital expenditure can moderate the effect of special allocation funds on financial performance; (12) Capital expenditure cannot moderate the effect of the working period of regional heads on financial performance. Keywords: good governance, financial management system, regional autonomy policy, financial performance.

Analysis of the integrated role of the Yangtze River Delta based on the industrial economic resilience of cities during COVID-19

The enhancement of regional comprehensive development ability is significantly impacted by the study on the implementation effect of regional integration strategies. The integration strategy’s impact on urban development during COVID-19 in the Yangtze River Delta(YRD) is unclear. According to prior industrial transfer theory, Hefei, Anhui’s capital, is difficult to transfer industries, and other YRD cities push industry integration in Anhui. This study employs the theory of economic and land resource use to examine the resilience of the industrial economy during an epidemic by using industrial land as a representation of industrial economic development. The three cities in Anhui—Wuhu, Maanshan, and Chuzhou (Wu-ma-Chu) were selected as the research area. The study employed the UNet deep learning method to detect the land use types in Wu-ma-Chu. The land transfer matrix and the standard deviation ellipse were utilised to research the alterations in industrial land use and the spatial distribution of industrial output value, respectively. The results showed that the industrial land in Machu continued to grow during the outbreak, highlighting the resilience of the region’s industrial economy. During 2019–2022, the elliptical ring of industrial output value is distributed in Nanjing, revealing the radiating role of Nanjing in integrating into the integration of the YRD. This confirms China’s YRD integration strategy, strengthens regional economic resilience, and encourages coordinated regional economic development.

Evaluation of regional comprehensive development efficiency under low-carbon policy: based on optimized DDF-GML combined with unsupervised clustering method

In the study of urban development, it is very important to evaluate the influence of production factors reasonably and efficiently for the region to achieve efficient development. The principal aim of this investigation is to amalgamate the conventional measurement model characterized by robust interpretability with the non-parametric model characterized by limited interpretability, thereby enhancing the precision of research outcomes. Towards this objective, the study employs an optimized directional distance function integrated with a global Malmquist–Luenberger index to formulate a comprehensive total factor productivity measurement framework. In elucidating the homogeneous attributes of regions, departing from prior methodologies reliant on manual or direct algorithmic partitioning, this paper employs the K-means clustering algorithm for index discernment, abstracting the concept of K-means clustering centroids to encapsulate regional homogeneity, thereby delineating results through the visualization of regional development potential maps and the evolution of centroid-based clustering trend maps. The findings of the investigation illuminate common patterns of change across disparate regions, proposing a strategy for leveraging regional resource endowments towards a cohesive framework, thereby transcending constraints imposed by production efficiency limitations. Amidst the backdrop of the COVID-19 pandemic, this study draws upon provincial-level data spanning from 2000 to 2018 in China. The conclusive analytical outcomes underscore the pivotal role of energy factors in regional development efficiency, particularly within high-potential development regions, followed by the capital and labor factors. Concurrently, the study discerns a discernible hierarchical pattern among areas of development potential, which exhibits correlation with factor mobility dynamics.

Understanding the Determinants of Poverty in Brazil: A Household Level Analysis

ABSTRACT: This study aims to comprehensively examine the determinants of household poverty in Brazil, placing a specific emphasis on the heads of households as the primary unit of analysis. Household poverty is a critical and multifaceted issue in developing countries, a reality that holds true for Brazil as well. Understanding the intricate web of factors that contribute to household poverty is of paramount importance to policymakers, researchers, and advocates dedicated to poverty alleviation and socioeconomic development. Household poverty remains a persistent challenge in Brazil, with far-reaching social and economic consequences. To address this issue effectively, it is essential to identify the factors that contribute to poverty among households, particularly those led by individuals who are the primary income earners. These households often face unique economic and social challenges that demand targeted interventions. To analyze household poverty determinants, this study utilizes data from the "Pesquisa Nacional por Amostras de Domicílios Contínua" (Continuous National Household Sample Survey) (PNADC). The dataset provides comprehensive information on the individual characteristics of the household head and household-level attributes, offering a nuanced view of the factors at play. A probit model is employed to estimate the probability of a household head experiencing poverty, allowing for a examination of various factors. The research findings reveal several significant determinants of household poverty in Brazil. Firstly, households led by men are found to be less likely to be in a situation of poverty, shedding light on gender-related disparities in income and opportunities. Secondly, households with heads who have attained higher levels of education exhibit a lower probability of being in poverty, underscoring the importance of education as a pathway out of poverty. Moreover, urban households are found to be less prone to poverty compared to their rural counterparts, since households led by individuals who work in agricultural-related activities are more likely to experience poverty. This emphasizes the need for targeted rural development strategies. Additionally, households located in the North and Northeast regions of Brazil face a higher likelihood of poverty, possibly due to regional economic disparities that require specific policy attention. These findings have important policy implications for poverty alleviation efforts in Brazil. Policymakers should consider targeted interventions that focus on improving access to education, particularly in regions with higher poverty rates, as education is a powerful tool for poverty reduction. Efforts to promote gender equality and enhance economic opportunities in rural areas are also essential to address the diverse causes of poverty. Additionally, regional disparities in poverty should be addressed through comprehensive regional development initiatives that take into account the unique challenges faced by different areas of the country. Our results also highlight the importance of community-specific social programs, including conditional-cash transfers and incentives for childhood education, which can play a pivotal role in breaking the cycle of poverty in Brazil's diverse communities.

The Implementation of Economic Border Policing to Enhance Inclusive Economic Productivity

Sustainable and inclusive development is the fundamental objective in reaching national development goals. National Medium-Term Development Plan (RPJMN) 2020-2024 aims to enhance Indonesia's per capita income to that of upper-middle-income countries (MIC) with enhanced infrastructure, human resources, public services, and citizen welfare. This RPJMN objective aligns with the Sustainable Development Goals (SDGs), which comprise 17 interrelated goals and indicators grouped into sevent development agendas. Implementation of the SDGs on a regional level is vital to attaining these objectives, as regional policies and development programmes can make a substantial contribution. The SDGs underline the significance of achieving inclusive and sustainable economic growth, universal access to basic services, natural resource management, and strengthening local institutions. In order to attain elevated economic growth, Indonesia necessitates an economic metamorphosis through the augmentation of productivity across several sectors. The 2023 Policy Plan (RKP 2023) adopts the theme "Increasing Productivity for Inclusive and Sustainable Economic Transformation," in order to reinforce economic resilience, enhance regional development and advance human resource quality. In this context, Economic Border Policing emerges as an important strategy for supporting the revival of the national economy through cooperatives and micro, small, and medium-sized enterprises (MSMEs) in border regions. Economic Border Policing is multifaceted, encompassing illegal trade control, trade and investment monitoring, welfare and rights protection, and the promotion of local economic development in border regions. Implementing Economic Border Policing is expected to create a safe and effective environment for inclusive and sustainable economic growth in border areas, facilitating enhanced economic productivity and comprehensive regional development.

Strategies for Estimating Used Ship Prices by PSO-Lightgbm-Catboost

With the growing popularity of water sports, the consumer market for sailing and surfing, a core sport in water sports, has attracted attention in recent years. In this study, the relationship between the conventional factors affecting the price of used sailing boats and the market price of used sailing boats is mathematically modeled and predicted. After outlier and missing value processing and visualization analysis of the collected and retrieved data, nine core indicators including sailboat performance, age of sailboat use, and the level of comprehensive regional development were selected to have a critical impact on the prices of both monohull and catamaran used sailboats. Using a series of algorithms such as LightGBM, PSO, and Catboost, a unique PSO-LightGBM-Catboost weighted fusion model was established to explore the role and influence of each factor on the prices of the two used sailboats. With this weighted fusion model, the R2 values of the multi-factor fit were as high as expected, and the R2 values of the predicted results were also at the expected level. Finally, it was found that the price of used sailboats is more significantly influenced by factors related to the age of the sailboat, the performance of the sailboat itself, and the economic level of the region.

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.

Seize the Time: Needed Research on Local Economic Development in an Era of Increased Attention to Problems of Place

Within the policy area of local economic development, this paper identifies five research needs: 1) better definitions of local labor markets; 2) policy know-how on how local economic development’s benefits can be spread to distressed neighborhoods; 3) evidence on what types of jobs have both good growth prospects and also provide long-run job opportunities for U.S. workers who lack a bachelor‘s degree; 4) estimates of how local worker skill-upgrading programs, or worker attraction programs, affect local labor market outcomes; and 5) more rigorous evaluation of both customized business services provided to individual firms and more comprehensive regional economic development strategies.

Improving the Government Regulation of the Socioeconomic Differentiation of Russian Regions

ABSTRACT This article analyzes the current dynamics of regional inequality in Russia. Despite several positive changes, regional imbalances remain high in terms of the socioeconomic development of the federal subjects of Russia and require changes in government policy to ensure greater equality and comprehensive regional development. Having studied the success of European countries in reducing territorial inequality, the author proposes several ways of adapting these successes to Russian conditions and offers recommendations for improving the policy of Russia’s spatial development. To achieve these changes, the government should focus its influence on the economically weak regions, which would allow them to solve existing problems and to ensure sustainable development. The results of the present study can be used by government administrators to implement measures and improve regional development policy.

The Patterns and Mechanisms of Land Price Divergence in Multiple Industries from the Perspective of Element Flows: The Case of the Yangtze River Delta, China

An in-depth exploration of the inner mechanisms of the spatio-temporal evolution of land prices in multiple industries (residential, commercial service and industrial) is of great significance for improving the overall economic development efficiency and resource allocation capacity of the region. Based on urban land price transaction data provided by the China Land Market Network, 307 county-level units in the Yangtze River Delta were used as the study area and spatial auto-correlation and spatio-temporal hotspot analysis were used to explore the spatial variation and temporal changes of land prices in multiple industries in the Yangtze River Delta from 2008 to 2018. The three-dimensional driving theory of land “demand + supply + market” was used as the basis to construct the index system of influential factors and the Spatial Durbin Model was used to explore the mechanism of the spatio-temporal variation of land prices in multiple industries. The results show that the land prices of multiple industries in the Yangtze River Delta are generally high in the east and low in the west and high in the south and low in the north, which is spatially consistent with the level of regional economic development. Due to the disparity in economic development between the regions, factors such as population, capital, technology and information are redistributed and fed into each other’s cycles between cities. The resulting spatial differences in land market supply and demand are intrinsic to the spatial differentiation of urban land prices. It is further proposed that land prices are a monetized expression of the abundance of resources in a city and that land prices are determined by the combined ability of regional resource factors to be allocated. Thus, land price differentiation reflects differences in the level of comprehensive regional development. Finally, the dynamic interaction of various factors on land values is used to promote the division of urban functions and regional economic development, which is an effective way to promote high-quality integrated regional development.

Spatial Responses of Ecosystem Service Value during the Development of Urban Agglomerations

This study analyzed data from 1995, 2005, and 2015 using mathematical calculations, spatial analysis, and a geographically weighted regression model. The results showed that from 1995 to 2015, the comprehensive regional development degree (RDD) of urban agglomeration in the middle of Jilin Province increased overall, with the average RDD increasing from 0.250 in 1995 to 0.323 in 2015. Especially in Changchun, a sub-provincial city, the RDD increased by nearly one-third, and the gap between this and other cities has been increasing. However, the ecosystem service value (ESV) decreased overall, with the average ESV decreasing from 108.3 in 1995 to 105.4 in 2015, and showed a strong spatial correlation. The maximum quantile in southeast–northwest direction was 1.712, with good homogeneity. The spatial influence coefficient of the RDD on the ESV showed a trend from positive to negative in the northwest–southeast direction. This value decreased continuously while the negative agglomeration area was gradually expanding, corresponding to the stressful effects of the RDD on ESV. The results of this study can provide a reference for urban planning and development as well as encourage reasonable regional spatial planning to ensure the sustainable development of urban agglomerations.

BLURRED LINES IN PLANNING LEGISLATIONS FOR REGIONAL PLANNING IN INDIA

In an era of rapid urbanisation, comprehensive regional development, rather than a focus on a single urban area, is critical for meeting future needs. However, most states lack clarity in their Town and Country Planning legislation about the scope of regional planning and the power of regional planning authorities. This reflects a condition of uncertainty among the state's various planning authorities about their jurisdiction and responsibilities. The paper aims to compare the Karnataka TCP Act, 1961, to the TCP Acts of other states. It begins with a brief overview of the evolution of TCP Acts in India, followed by a comparison of the provisions of various state acts to know the distinction between them. The paper critiques the governance system established by the Karnataka TCP Act, 1961, based on its limited implementation. This also pertains to the act's departure from what it envisions for power decentralisation under the 74th Constitutional Amendment Act of 1992. The paper concludes by noting the fallacy and potential solutions in the act based on the best practices.

The role of ECLA in the development of a regional strategy for the digitalization of the economy

The article discusses the content, history of development and theoretical foundations of the regional strategy of digitalization of the economy of the United Nations Economic Commission for Latin America and the Caribbean (ECLA), the impact of ECLA on the development of digitalization processes in the region. The acceleration of digitalization processes in the world and in the Latin American region is noted as the leading trend of economic and social life during the coronavirus pandemic and on the way out of the associated crisis. The connection of the ECLA digitalization strategy with the comprehensive regional development strategy put forward in 2010, which is based on the neo-structuralist ideas of the need to transform the production structure of the countries of the region, the elimination of poverty, deep social inequality, as well as with the theory of sustainable development, is traced. The main priorities of the digitalization strategy are identified: ensuring universal access to broadband high-speed Internet, introducing digital technologies into production, helping to digitalize small and medium-sized enterprises, creating a common regional digital market, tax and antimonopoly regulation of the activities of foreign technology companies, security and protection of personal data. The author highly appreciates the role of ECLA in the development of digitalization processes in the region, but expresses doubt about the feasibility of the task of accelerated digital transformation of its economy in the foreseeable future due to barriers associated with the traditional model of development of Latin American countries.

Transformation of the scientific, technical and industrial complex of municipalities as a factor in ensuring the technological sovereignty of Russia

The country’s economic stability and security, overcoming the consequences of the economic crisis, as well as comprehensive regional development are closely related to the preservation and further development of our own industrial, scientific and technical complexes. The introduction of the concept of technological sovereignty, as well as the definition of a set of measures to achieve it, are necessary steps towards sustainable development and security of the state. In scientific research, much attention has been paid to the problem of modernizing industrial production through the introduction of advanced innovative and technical innovations, but at the same time, the issue of ensuring the technological and component independence of domestic production has not been sufficiently studied. The practical significance of the results of the work lies in the possibility of applying the formulated conclusions and recommendations in the practical activities of the subjects of regional infrastructure, as well as in the possibility of their application by the authorities in the formation of regional economic policy for the development of the scientific, technical and industrial complex in the context of all its components in order to ensure the sustainability of the economic growth of each territory.

Collaborative legislation on the control of toxic and harmful substances in drinking water resources of Yangtze River Delta

With the determination of China’s Yangtze River Delta integration development strategy, the importance of cross regional drinking water resources protection has become increasingly prominent. At present, there are still many problems in the practice of legislative collaborative protection. In this paper, the Yangtze River Delta as a flora, through the analysis of the current water quality of the mainstream and lakes in the middle and lower reaches of the Yangtze River, on the basis of listing the cross regional water resources collaborative protection, find out the needs of legislative coordination, and further clarify the mechanism, mode selection, process and way of regional legislative cooperation in the Yangtze River Delta. This study is of great significance to promote the rational allocation and sharing of water resources and improve the quality of regional comprehensive development.

Coconstrucción de un modelo de desarrollo regional integral de la Universidad de Ibagué

Este proyecto parte de la misión que tiene la Universidad de Ibagué con el desarrollo regional, como estrategia para aportar a las dimensiones sociales en las que se encuentra inmersa. Se hipotetiza que la comunidad universitaria tiene diferentes percepciones del compromiso con el desarrollo regional y, además, que la elaboración del modelo preferiblemente debe ser integral y tener en cuenta las complejidades del contexto regional. Se propone como objetivo coconstruir un modelo de desarrollo regional integral de la Universidad de Ibagué a partir de la concepción que tienen los agentes, desde el enfoque cualitativo y la metodología basada en las teorías ancladas en contextos específicos de experiencia.

An Analysis of the Allometric and Multifractal Features of a Development in the Urban-Rural Area in the Lower Reaches of the Yangtze River: 2012 Cross-Sectional Data of Four Provinces and One City

The provinces of Jiangsu, Anhui, Jiangxi, and Zhejiang and the city of Shanghai in the lower reaches of the Yangtze River forming a concentrated distribution area of developed cities and rich villages in China are so called “the four provinces and one city,” which have experienced rapid and typical urban-rural development. By drawing on the perspective of allometric growth, this paper conducts fundamental analysis and multifractal analysis of 52 prefecture-level cities in four provinces and one city in the lower reaches of the Yangtze River. Fundamental analysis shows that there are different patterns of allometric growth in various areas of the region, as well as the emergence of diffusion in fundamental activities and of polarisation in advanced activities. Multifractal analysis also shows that the comprehensive regional development is dominated by large- and medium-sized cities, but various fields have different fractal spectrums and form six interrelated urban-rural integration modes. The multiple spatial dissymmetry disclosed in the analysis also shows that each field had its own allometric growth features during the regional development. This paper adopts the fitting function and the relevant parameters of the fractal dimension to quantify the evolution in particular fields. Analysis shows that the developments in prefecture-level cities are different and represent the regional evolution status; the urban-rural development in metropolises and small- and medium-sized cities is nonmainstream.

Research on Fiscal Sustainability Risk Evaluation Model Based on Large-Scale Regional Comprehensive Development PPP Project

With the development of urbanization in China, the traditional PPP mode is no longer suitable for the urbanization in China. Therefore, the regional comprehensive development PPP mode is gradually concerned by government and enterprises. In view of the above development trend, this paper establishes a model of fiscal sustainability risk for large-scale regional comprehensive development PPP project to realize efficient allocation of resources, value maximization, fiscal sustainability risk evaluation, so as to achieve fiscal sustainability.

Quantifying the Spatio-Temporal Process of Township Urbanization: A Large-Scale Data-Driven Approach

The integrated recognition of spatio-temporal characteristics (e.g., speed, interaction with surrounding areas, and driving forces) of urbanization facilitates regional comprehensive development. In this study, a large-scale data-driven approach was formed for exploring the township urbanization process. The approach integrated logistic models to quantify urbanization speed, partial triadic analysis to reveal dynamic relationships between rural population migration and urbanization, and random forest analysis to identify the response of urbanization to spatial driving forces. A typical subtropical town was chosen to verify the approach by quantifying the spatio-temporal process of township urbanization from 1933 to 2012. The results showed that (i) urbanization speed was well reflected by the changes of time-course areas of urban cores fitted by a four-parameter logistic equation (R2 = 0.95–1.00, p < 0.001), and the relatively fast and steady developing periods were also successfully predicted, respectively; (ii) the spatio-temporal sprawl of urban cores and their interactions with the surrounding rural residential areas were well revealed and implied that the town experienced different historically aggregating and splitting trajectories; and (iii) the key drivers (township merger, elevation and distance to roads, as well as population migration) were identified in the spatial sprawl of urban cores. Our findings proved that a comprehensive approach is powerful for quantifying the spatio-temporal characteristics of the urbanization process at the township level and emphasized the importance of applying long-term historical data when researching the urbanization process.