Assessment Of Regional Development Research Articles

Assessment of Regional Development Using the Unit Genetic Area (GSW) Method in the Mining Environment Area of Palu City, Central Sulawesi Province

Introduction: The growth of the mining industry in Central Sulawesi is currently growing rapidly, starting from excavations A, and B to C. The Buluri area currently has many active C excavation mines, but does the area have the potential for mining area development? This research was conducted with the aim of knowing the level of potential or constraints on the development of mining areas. Method: The location of this research is located in Buluri Village, Ulujadi District, Palu City, Central Sulawesi. The method used in this research is direct mapping in the field to determine the genetic unit of the region and scoring on each subfactor of the genetic unit of the region to determine the development of mining areas. Results and Discussion: The results showed that in the Buluri area, there are two regional genetic units, namely the genetic unit of the moderately deformed porphyry andesite plain area (1221) and the genetic unit of the moderately deformed porphyry andesite hills area (1222). Conclusion: Based on the results of subfactor calculations in each regional genetic unit, it is found that the genetic unit of the moderately deformed porphyry andesite plain area (1221) is included in the low-level mining area development category, and the genetic unit of the moderately deformed porphyry andesite hills area (1222) is included in the medium- level mining area development category.

Оценка уровня экономического развития старопромышленных регионов Юга России

The study of the level of development of a region is an important tool for comprehension and analysis of the characteristics and trends in the formation of a certain territory from the point of view of the economy. The old industrial regions in southern Russia, such as the Rostov, Volgograd, and Astrakhan regions, play a crucial role in national economic formation. They have a rich history of industrial development and underwent significant transformation during the transition from a Soviet-era industrial structure to a modern, diversified economic system. This circumstance determined the purpose of the article, which is the analysis of key economic indicators of the regions of the south of the country classified as old industrial ones, reflecting the level of their development. The article uses a variety of methods to analyze key economic indicators in these regions, including systematic, economic, statistical, comparative, and retrospective analysis. A study of various economic indicators in the region, including gross regional product, industrial production, retail trade turnover, and agricultural production, was conducted. This made it possible to assess the situation in different regions based on their main industries. The authors offer an algorithm for the calculation of a regional development assessment index that includes economic, social, demographic, and innovative components. It helps understand the overall condition of a region and its potential. The algorithm can be adjusted according to the research objectives. The obtained results and recommendations can be applied to develop an effective development strategy and a set of measures to improve regional policy, which, in turn, can lead to an improvement in the economic condition of old industrial regions, strengthening their positions in the national economic system.

METHODS FOR FORMING REGIONAL DEVELOPMENT RATINGS

The relevance of the article is due to the need to correctly align regions according to the level of their socio-economic development, which is made difficult due to the presence of various methods for forming regional development ratings and the lack of a single mechanism approved at the state level. The purpose of the article is to explore the available methods for forming a regional development rating. The objectives of the study are to establish, based on a comparison of existing methods, their positive and negative aspects, and suggest directions for their improvement. Materials and methods. The information base for the study was RIA RATING data on ratings of the socio-economic situation of regions, quality of life, the analytical bulletin of the Ural Branch of the Russian Academy of Sciences on the ranking of regions, Rosstat data on gross domestic product, and research by individual authors on this issue. The article uses the following methods: analysis and synthesis, generalization, grouping, tabular and logical methods, etc. Results. The study found that none of the existing methods for forming a regional development rating can be considered universal; each of them has both positive and negative sides. At the same time, the methods for forming the regional development rating differ significantly from the indicators used to assess the effectiveness of the activities of the heads of the bodies of the executive authority of the Russian Federation constituent entities. Conclusions. In order to ensure uniformity in the assessment of regional development and take the utmost account of indicators, a unified methodology for constructing a rating of social and economic development of regions, approved at the state level, is necessary.

Regional development assessment based on POIs and Geotree: a case study in Beijing-Tianjin-Hebei region

Regional development assessment based on POIs and Geotree: a case study in Beijing-Tianjin-Hebei region

STUDY OF THE INFLUENCE OF REGIONAL DEVELOPMENT FACTORS ON THE FORMATION OF THE STUDENT CONTINGENT

The relevance of the study of the influence of factors of regional development on the formation of the contingent of students has been proven. The purpose of the study is to determine the cause-and-effect relationships between the number of students in higher education institutions and the regional development indicator. To achieve the goal, the following tasks are solved:  characteristics of mathematical tools to ensure the educational process;  development of a mathematical model of the influence of the gross regional product index on the number of students in higher education institutions. Proposed directions Mathematical modeling is implemented through the prism of the relevant stages: formation of information and analytical support regarding the factor of formation of the contingent of students by region and the integral indicator of regional development; application of mathematical modeling methods in relation to establishing the influence of the factor on the integral indicator; development of mathematical models of the influence of the factor on the integral indicator of regional development; determination of criteria for the adequacy of mathematical models; interpretation of the obtained results. The ways of assessing the integral indicator of regional development are determined: determination of local factors of regional development; formation of general indicators of regional development; construction of a multi-level system of integrated assessment indicators; assessment of local factors using quantitative and qualitative methods; development of mathematical models for the assessment of generalizing factors; assessment of generalizing factors using the geometric mean method; construction of an integral model of assessment of regional development; determination of weight coefficients taking into account the corresponding stimulants; assessment of the integral indicator of regional development. As a result of the study, it was determined that the gross regional product index causes a change in the number of students in higher education institutions by 68%. It should be noted that other factors negatively affect the number of applicants. In the study, a mathematical toolkit is proposed, which allows you to form a quantitative basis for making management decisions. It was established that in the future, regional factors and demographic parameters lead to a decrease in the number of students in higher education institutions, which negatively affects the development of the educational system. Keywords: educational components, PhD, educational programs, geodesy and land management, general and professional competences.

Structure of environmental factors in the regional development assessment

The article describes the development of the author's methodology for assessing the environmental components in the structure of a comprehensive assessment of regional development. The need to develop a methodology is justified by the principles of budget financing for equalizing the living standards of regions and ensuring their sustainable development. Testing of the methodology shows that the resulting assessment does not always reflect the true causes of deviations, which can cause ineffective use of budget funds. The methodology indicates the strengths and weaknesses of each individual region, and in a structural context, which allows you to see which provisions have a negative impact on the assessment.

ТЕОРЕТИКО-МЕТОДИЧНИЙ ПІДХІД ДО ОЦІНКИ РОЗВИТКУ РЕГІОНІВ

It was determined that a quantitative basis for making a decision on the development of regions based on the developed and applied theoretical and methodological approach has not been formed. The theoretical provisions for determining the development of regions need improvement, taking into account the influence of economic, functional, strategic, security, potential, stakeholder factors, directions of regulatory and legal support, and features of management at the regional level. Grounded theoretical and methodological approaches to determining the development of regions: factor, system, functional, goal-oriented, strategic, security, potential, stakeholder. Dividing the provisions of the systemic approach, a definition of the development of regions is proposed, which is characterized by systemic features that ensure the interaction of economic, functional, strategic, security, potential, stakeholder factors on the basis of the formation of a quantitative basis of regional development for the adoption of reasonable management decisions by state institutions regarding the formation of a new, more favorable environment, growth of investment attractiveness, competitiveness and level of living of the population. As a result of the research, a theoretical-methodical approach to the assessment of the level of development of regions was developed and implemented, the application of which made it possible to form a quantitative basis for economic-mathematical modeling and forecasting of indicators of regional development. In addition, the results of the assessment provide opportunities to develop measures to ensure the development of regions. A multi-level system of regional development assessment indicators based on economic, functional, strategic, security, potential, stakeholder, regulatory and management factors is proposed, which allows for the development of a theoretical and methodological approach to the assessment of regional development. A theoretical and methodological approach to the assessment of the development of regions has been developed and implemented, which is based on a set of methods and models, the application of which allows determining an integral indicator for the development of measures to ensure regional development.

Assessment of regional development needs according to criteria based on the Sustainable Development Goals in the Meta Region (Colombia)

When a regional government considers investing funds for the sustainable development of its region, it must consider the real needs of the population and the fulfillment of the Sustainable Development Goals (SDGs). The identification of needs should be carried out with the support of local stakeholders representing various social groups. This paper seeks to answer the question of how to guide public investment policies at the local level, such as improving education, health, transportation and others, to better meet the SDGs. To answer this question, a multi-criteria decision-making process is followed, whereby, once the needs are classified by investment areas, they are prioritized based on criteria derived from the SDGs. The problem is complex because of the difficulty of the local stakeholder engagement process and also because of the interrelationships and influences that arise between all the elements of the decision problem: criteria and alternatives. To address this complexity, the Analytical Network Process method combined with DEMATEL will be followed. This process is applied to the case study of the distribution of funds allocated by the Government of Colombia to the Meta Region (Colombia) with the participation of 48 stakeholders to identify needs and the support of six experts in sustainability and project management for their prioritization.

The Evolution of Lighting in South-West India from Night-Time Lights: 2012–2020

Human-induced alterations of the landscape and the same driven climate changes are seriously making drastic changes in the processes on the Earth's surface, regionally and globally. Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light datasets can precisely detect the intensity and scope of human activities. Accurate and temporal monitoring of urban areas and urban sprawls is highly imperative to the detection and assessment of regional development of a region. This study quantitatively assessed and mapped the light extents and urban region in Kerala, one of the southwest Indian states from 2012 to 2020 with the help of low light imaging day/night band data collected from the VIIRS and utilised VIIRS night time Lights V.2 time series from the monthly averages with filtering to eliminate extraneous features such as aurora, biomass burning, and background. ISOCLUSTER based classification and the threshold methods are used for the light extent and urban region extraction respectively. The result indicated that the Kerala State experienced very high urbanization from 2012 to 2019. But in the case of 2020, there was a decrement in the radiance due to the lockdown and night curfews followed by the COVID-19 global pandemic. Normal life including transportation, industries, and business, etc. was affected much before the national lockdown in Kerala. It was proved with the help of time series data generated from mid-2019 to the end of 2020. The time-series data was generated with 580 night light datasets of NASA’s Black Marble VNP46A2 from 1st June 2019 to 31st December 2020 on daily basis.Graphical abstract

Sustainable regional development assessment in terms of realizing the values of key stakeholders

The paper aims to study sustainable regional development by assessing the realisation of the values and interests of key stakeholders. The methodological framework includes the concept of sustainable development and a value-driven approach to management. The authors employ the method of theoretical analysis to validate the possibility of applying the value-driven approach to assess the sustainable regional development and building a conceptual model reflecting the composition of the key regional stakeholders and the content of their values and interests in the context of the concept of sustainable development. To provide both the overall and individual (in terms of social, environmental and economic components) assessments of the level of realisation of these values, the researchers adopt the method of integral assessments and develop a system of indicators and a step-by-step method for calculating the integral index. The authors test the proposed methodological tools using the case of the regions of the Volga and Ural Federal Districts. The findings demonstrate that the most acute problems for all stakeholders are the problems of ensuring environmentally friendly living conditions for the population, reducing the environmental pressure and environmental intensity of economic activity. In the social sphere, the most relevant issues remain improving the standard of living, and raising the volume and quality of social services provided to the population. The authors arrive at the conclusion that insufficient level of realisation of the regional authorities’ values limits their ability to influence the processes of sustainable regional development by improving the level of other stakeholders’ interests’ realisation.

An assessment of the regional development well-being taking into account the environmental component

The paper presents the results of socio-ecological and economic well-being estimation of the Russian regions using a multiplicative model, based on the A. Sen extended function. This model includes GRP per capita, share of the personal incomes in GRP, the regional cost of living index, the intra-regional income inequality and the integrated environmental index. It is defined as average of the specific environmental indices calculated on the basis of the following indicators: the share of the negative air, water and soil tests. Calculations have revealed that there is a significant interregional differentiation in the level of social well-being. The inclusion of the environmental component into the multiplicative model had a significant impact on the results of a comprehensive assessment of regional development. In some Russian regions, the environmentally adjusted level of well-being was significantly lower than the indicator that does not take this aspect into account. It is shown that the role of the environmental factors in the quality of life in the East of Russia is quite significant. The research novelty is to take into account the environmental component in assessing the well-being of the regions using a multiplicative model, based on the A. Sen extended function. The analysis results can be used in the process of making management decisions in the field of environmental and economic interactions, as well as in the preparation of strategic documents for sustainable regional development.

Research of the innovative development of the Russian Federation regions and its impact on the eco-friendliness of the economy based on neural network cluster analysis for the purpose of economic security

This article is devoted to the assessment of innovative development of the Russian Federation regions using self-organizing Kohonen maps. The relevance of this paper is due to the need to develop various criteria for making decisions on state support for regions, the use of which will allow to conduct a comprehensive assessment of regional development. Its findings should serve as a reliable, high-quality source of information about the feasibility and type of support for a particular region. The study provides a justification for a set of indicators that are used in conducting cluster analysis. The methodology developed by the authors provides an opportunity to divide the regions into clusters, conduct their quantitative and qualitative analysis, and further predict the key indicators of the regions based on their belonging to different clusters. All this allows to study regional innovative development in dynamics. The authors draw a conclusion about the uneven innovative development of the Russian regions and the ambiguity of connections between the indicators of the share of organizations engaged in technological innovations and the degree of environmental friendliness of the economy. The findings of this study will be useful to public authorities when making decisions on the allocation of budgetary funds for the development of territories.

Эколого-экономическое благополучие российских регионов: сравнительный анализ

<span>В статье представлены результаты комплексной оценки благополучия регионов РФ, выполненной с использованием мультипликативной модели, основанной на расширенной функции благосостояния А. Сена. Исследование в очередной раз подтвердило, что российские регионы в значительной степени дифференцированы по уровню социального благополучия. Однако включение в мультипликативную модель компонента, учитывающего экологический фактор, заметно сказалось на результатах оценки. В некоторых регионах РФ экологически скорректированная характеристика регионального развития оказалась заметно ниже показателя, не учитывающего этот аспект благосостояния. Показана значительность влияния экологических факторов на качество жизни на восточных территориях. В отдельных регионах с неблагоприятными экологическими условиями уровень благополучия с учетом экологического фактора заметно ниже среднероссийского. Сделан вывод о том, что реализованные в последние годы институциональные преобразования пока не способствовали заметному повышению благосостояния регионов Востока РФ.</span>

Monitoring Regional Urban Dynamics Using DMSP/OLS Nighttime Light Data in Zhejiang Province

Accurate monitoring of urban regions and urban sprawls is critical to the detection and assessment of regional development. The nighttime light images of Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) provide us direct solutions to make spatial descriptions of urban regions. Unfortunately, accurate monitoring of urban regions is apt to be hampered due to the shortages of the DMSP/OLS data. In this study, we utilized a new urban region extraction strategy based on the edge-detection method which is widely applied in automatic digital image processing. The edges of urban areas in Zhejiang province were identified based on the distributions and values of pixels. Compared with other traditional methods, the urban regions extracted in this study present a higher overall accuracy and kappa coefficient (OA = 93.1409%; Kappa = 0.8755). Two periods of the urban dynamic process and urban sprawl pattern in Zhejiang from 1992–2013 were further detected by the proposed method. At city level, the drastic increase in urban areas was found in cities of Hangzhou and Ningbo. This study provides an objective and convenient solution to the accurate identification of urban regions, which is also an important step to better understand the urban dynamics and urban development.

The Regional Development Assessment of Social Resilience Based on Quantifiable Analyses Apply to Guangfu Village

This research aims to analyze an organization‘s social impact under Social Resilience issue (Herb, 2005) by developing the regional development assessment based on ESG standard. In addition, the assessment is also related with Sustainable Development Goal No.11 (Sustainable cities and communities). The application context is using our regional development assessment to evaluate how an organization can interfere when a community suffers external disturbances. This content could be established a sustainable management to arrange concrete consequences from various aspects of perspectives. It is observed that the assessment indicates that how to evaluate social impact of organizations in the community and scientifically quantitate value for Social Resilience. The framework is based on ESG consisting of Environment, Social, and Governance. This estimate proceeds from testing a non-governmental organization (NGO) or a non-profit organization (NPO) interfering with the regions results in how much their influence is and how large a range of their influence is. The assessment was applied to analyze the region—Guangfu Village in Taichung City, Taiwan. The evaluation was not really phenomenal on the appearance under ESG standard. According to this study, the consequences from the assessment are described as below.Keywords: Social Resilience; ESG; Sustainable Development Goal

Methodological approaches to the assessmentof regional development of RD

The article examines the methodological approaches to the assessment of regional development of RD. In principle, it can be said that Dagestan has significant potential for regional development. However, the current state and development of the economy indicates the complete absence of any coordinated policy of the federal and regional authorities to regulate the development of this sector of the regional economy.

Regional development assessment: Reflections of the problem-oriented urban planning

This paper reflects the regional/urban planning, design, and building problems. It highlights local differences as important factors in the development process. As demands for new homes and towns increase the proportionality of urban development methods to the local situation must be respected. This in turn requires an increase in the professional regional recognition and practical experiences. This study reviews briefly the past, present and future of the underdevelopment cities. It applies a combination of semi structured interviews, a problem oriented method, POM, a benchmarking method, BM, a linear programming, and techniques of converting qualitative values to quantitative scores to assess the degree of sustainable urban development, SUD. The assessment has been done by introducing of indicators of sustainability, IS. Finally, this paper suggests a systematic program to develop a case study city. The program is useful in the similar cities everywhere.

CLUSTER ANALYSIS AS AN EXAMPLE OF THE ASSESSMENT OF REGIONAL DEVELOPMENT

The article is an example of the use of cluster analysis in the assessment of regional development. We used two methods of cluster analysis: using the Ward's method belonging to the hierarchical agglomeration method and the method of k-means. Based on data for 2,014 years have been grouped into classes typological provinces.

ANALÝZA REGIONÁLNÍHO ROZVOJE S VYUŽITÍM VÍCEROZMĚRNÝCH STATISTICKÝCH METOD

The paper deals with differentiation of regional entities within the Czech Republic based on study of human potential. The human factor has been defined by 22 variables from three domains: population density, demographic indicators and economic activities of inhabitants. The variables have been recorded by regions and selected districts of the C.R. in 1994–2004, for computation purposes they have been represented by their averages and standardized. Principal component method has been employed for solution, facilitating to reduce number of the variables without any considerable loss of information, to select the most significant factors for a given area and to aggregate the variables into larger groups (principal components). Two extensive methods have been constructed. The first one has been based on the C.R. regions, the second one on the data from the Vysočina Region districts. Solution results demonstrate different roles of the separate aggregate variables in regional development. While in the C.R. as a whole, the most difficult problem is population ageing, growth of urban population and unemployment, in the Vysočina Region it is the development of small villages and of countryside as a whole, and unemployment. The method used is suiteble generally for study and assessment of regional development and it brings many objective information for decision-making process.

Beyond New Regionalism, beyond Global Production Networks: Remaking the Sunan Model, China

I attempt to advance the research on globalization and regional development in China through a study of Kunshan City. I investigate the restructuring process, the structure of foreign direct investment, and the nature of global–local networks to understand trajectories and models of regional development in the context of globalization. I highlight the interactions of the Chinese state, transnational corporations (TNCs), and regional assets in shaping the trajectories of regional development. I argue that Kunshan's pathway to globalizing regional development is state centered and heavily dependent on global forces, which has made Kunshan a TNC satellite district and a dual city segmented between TNCs and domestic firms. I also argue that TNCs' local embeddedness has to be positioned in their global and external networks and that the assessment of regional development has to be conditioned upon a region's specific context. The findings suggest that neither new regionalism nor global production network perspectives can fully explain regional development in China with huge domestic markets and large regional disparities. I promote an alternative, middle-ground perspective to regional development to better integrate global forces, state institutions, and local contexts. Such a third approach to regional development has the potential to localize TNCs and to develop indigenous capacities.