scholarly journals Modeling and Forecasting of Socio-Economic Development of the Region

The article is devoted to the modeling and forecasting of socio-economic development of the region. The dependence of GRP per capita of the Belgorod region on the average annual number of employed in the economy, the consolidated budget revenues, the volume of innovative works and services, the consumer price index, the industrial production index, the balanced financial result, exports was established. The analysis of the matrix of pair correlation coefficients of the selected indicators allowed to choose as the most significant explanatory variables the consolidated budget revenues and the average annual number of employees in the economy. The models of socio-economic development of the region were built. The quality of the models was evaluated. It was revealed that the most accurate is the power regression model. The forecast of further changes in GRP per capita was built on the basis of the retrospective analysis data. The method of extrapolation based on the construction of trend models for each explanatory variable was used to carry out the forecast.

Author(s):  
Г.А. Абрамян

В статье проведена работа по описанию теоретико-методологической базы прогнозирования демографических процессов в контексте их влияния на социально-экономическое развитие территории, в частности, на промышленный сектор экономики. В проведенном исследовании были спрогнозированы значения объема отгруженных товаров собственного производства, выполненных работ и услуг собственными силами; среднегодовой численности занятых в экономике и производительности труда в Ростовской области к 2020 г. и 2030 г., а также представлен комплекс правительственных инициатив, направленных на улучшение демографической ситуации мерами социально-экономической политики. Актуальность статьи обусловлена тем, что в современных условиях одним из ключевых индикаторов качества управления регионом со стороны органов исполнительной власти является демографическая ситуация, формирующая человеческий капитал как основу экономического роста региона, и, как, следствие, его конкурентоспособности. Рассматриваемая в данной статье тема будет интересна, в первую очередь, специалистам, занимающимся демографической политики в региональных органах исполнительной власти, а также широкому кругу экономистов, изучающих вопросы социально-экономического развития. The article describes the theoretical and methodological basis for forecasting demographic processes in the context of their impact on the socio-economic development of the territory, in particular, on the industrial sector of the economy. In the study, the values of the volume of shipped goods of own production, works and services performed on their own were predicted; the average annual number of people employed in the economy and labor productivity in the Rostov region by 2020 and 2030, as well as a set of government initiatives aimed at improving the demographic situation by means of socio-economic policy. The relevance of the article is due to the fact that in modern conditions one of the key indicators of the quality of regional management on the part of the executive authorities is the demographic situation, which forms human capital as the basis of economic the growth of the region, and, as a consequence, its competitiveness. The topic considered in this article will be useful for specialists involved in demographic policy in regional executive bodies, as well as to a wide range of economists studying issues of socio-economic development.


Author(s):  
Lyubomyr Sozanskyy

In the article, a comparative interregional and cross-border assessment of socio-economic development of the Transcarpathian region is conducted. The results of the study are based on an analysis of the level and dynamics of such key indicators of economic and social development of the region as GRP per capita, employment rate, unemployment rate, average monthly salary, etc. According to the results of interregional comparisons, the low level of efficiency of the economy but the positive dynamics of some indicators of the labor market of the Transcarpathian region was revealed. In particular, among the regions of Ukraine in 2013-2017, the region was 22nd in terms of GRP per capita and 19th in terms of employment. At the same time, by unemployment, it rose from 15th in 2013 to 10th in 2018, and the average monthly wage ranged from 20th to 7th, respectively. Cross-border comparisons showed a significant lag behind the Transcarpathian region from the neighboring regions of Poland, Slovakia, Romania and Hungary for all considered socio-economic indicators. Thus, in particular, according to the indicator of GRP per capita, this lag compared to the Kosice region (Slovakia) in 2017 was 11.4 times. The average monthly salary in Transcarpathian region is 4 times lower than in the neighboring Kosice and Presov regions of Slovakia and the Podkarpackie voivodship of Poland. The positive dynamics in the direction of reducing the above-mentioned gaps in the level of socio-economic development of the analyzed regions in 2017-2018 are revealed. In addition, a regional peculiarity has been identified – the Transcarpathian region and the regions it borders, lag substantially behind the countries they belong to by the level of socio-economic development. As a result, the conclusion is drawn that the results of the conducted inter-regional and transboundary assessment of the socio-economic development of the Transcarpathian region will facilitate the development of inter-regional and interstate programs and strategies for the development of the Carpathian transboundary region to eliminate the identified imbalances.


Author(s):  
Ekaterina M. Mishina ◽  
◽  

This article focuses on the analysis of the impact of socio-economic development indicators of Altai region and Oyrot autonomous region on the eve of the Great Purge (1935 — first half of 1937) on the regional intensity of repression. Employing statistical methods (regression analysis), the author verifies the hypothesis that in the areas with the highest level of well-being of the population, the level of repression was also higher. It is established that the turnover and expenditures per capita compared with other economic indicators had the greatest influence on repression levels in Altai and Oyrotia regions. Based on the results of the analysis of regional statistics, the author of the article puts forward a theory that the thesis proclaimed by the Bolsheviks to justify the failure of economic development by the actions of the “enemies” in practice seems untenable, since economically lagging regions were characterised by a relatively low level of repression. In the second part of the article, the author presents a typology of districts of Altai and Oyrotia regions based on the results of cluster analysis of various groups of socio-economic development indicators. Additionally, she substantiates the hypothesis about the influence of the spatial factor on the intensity of repression: the groups of regions of each individual cluster consist mainly of adjacent regions.


2021 ◽  
Vol 4 (6) ◽  
pp. 12-17
Author(s):  
Gafur Namazov ◽  

The article analyzes the main approaches to modeling and forecasting the development of the socio-economic system (SES) of the region based on a neural network. The features of using the approaches and the advantages, disadvantages and limitations of their application are also described in detail.Keywords:socio-economic development of the region, socio-economic system, modeling, forecasting, neural networks


2020 ◽  
Vol 3 (1) ◽  
pp. 67-76
Author(s):  
Dipak Duvey

The comparison of socio economic development of Tarai and Nepal is the comparison of development of total Nepal with its southern part Tarai. Socio economically southern belt of Nepal, Tarai is leading whole Nepal in development. There are not any significant impacts of conflicts of Tarai in one and half decade, in socio economic development of rural development of Tarai. The comparative study has selected timeline of 2004, 2011 and 2019 to collect and analyze the socioeconomic indicators based on data of Central Bureau of Statistics (CBS Data). It is the study of literacy rate, access to electricity, GDP Growth rate and Per capita income of Nepal and Tarai region in different point of time of conflicts and resiliencies. The literacy rate was 55%, 65%, and72% in Tarai and 49%, 60% and 69% in Nepal; access to electricity were 40%, 78% and 95% in Tarai and 37%, 65% and 96% in Nepal. Similarly, Gross Domestic Product (GDP) Growth rate was 5%, 5% and 7.2% in Tarai and 4.7 %, 3.4%, and 7.1% in Nepal; Per capita income in USD was 300, 629 and 1100 in Tarai and 286, 610, and 1034 in Nepal from 2004, 2011, and 2019respectively. Therefore, Tarai is leading Nepal in socio economic development.


2019 ◽  
Vol 62 ◽  
pp. 09003
Author(s):  
M.N. Tolmachev ◽  
N.G. Barashov ◽  
A.V. Latkov ◽  
V.A. Markov

Currently, the priority of the Russian Federation socio-economic development is to achieve sustainable economic growth. A significant obstacle to the achievement of this goal is the unevenness and disproportionality in the socio-economic development of the Russian regions. This circumstance makes the problem of an objective and adequate assessment of Russian regions the interregional differentiation particularly relevant. The study notes that the nominal monetary income of the population does not take into account regional differences in price level. This work discusses methodological approaches of reliable determination, advantages of weighted and unweighted estimates in the interregional inequality, special attention is paid to weighing the average per capita indicators of the subject of the Russia for the proportion of the region’s population in the country’s population. To assess the purchasing power of the population at the regional level, the authors propose to use a modified cost of living index. As a result of the study, the dynamics of the variation coefficient of the average per capita monetary incomes of the population and adjusted for the modified cost-of-living index were determined, on the basis of which the regions of Russia were divided into three groups. The efficiency of the transition to the analysis of incomes comparable in purchasing power, as comparison of weighted and unweighted variation coefficients, has been proved. The trend towards smoothing interregional inequality, which is caused by the accelerated growth of real incomes of the population in the low-income group of Russian regions.


2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Wawan Hermawan

The tourism sector is a sector that can be relied on to earn foreign exchange.Revenue from tourism showed significant progress and continues to grow, so bringa high impact on the Indonesian economy. Number of tourists visiting foreigncountries is an important indicator for the growth of tourism sector in Indonesia isrelated to the increase in foreign exchange. Increase or decrease of tourist arrivals isinfluenced both by internal factors such as the condition of tourist destinations inIndonesia, politics and security in Indonesia or external factors such as the economic conditions of the various countries of origin of foreign tourists. This study uses panel data with the annual number of tourist arrivals from a number of countries to Indonesia for 19 years as the dependent variable. The independent variable of this research is RGDPP (Real GDP Per Capita), RREER (Relative Real Effective Exchange Rate), TCPI (Indicative Ratio of Consumer Price Index), Population, CPITUNIS (Consumer Price Index Tunisia), TO (Trade Openness). The results of this study indicate that tourist arrivals to Indonesia is heavily influenced by the distance from their home country to destinations in Indonesia. This variable is the biggest variable affecting the arrival of foreign tourists to Indonesia. Income per capita is the second largest variable and has a coefficient  close to unity, so that the income elasticity of country of origin is an important variable to be considered.


2019 ◽  
Vol 12 (2) ◽  
pp. 103-114 ◽  
Author(s):  
A. V. Yarasheva ◽  
S. V. Makar

The subject of the research is the population decline and, as a result, a drop in the labor potential in the Far East. The relevance of the problems under study is due, firstly, to the low population density in this area, secondly, negative values of the natural movement of the population, thirdly, migration of working-age people to other regions, fourthly, relatively low indicators of standards and quality of life of citizens living in the Far East. Together, the negative factors identified in the area carry a geopolitical threat and impede the desired strategic socio-economic development of Russia. The purpose of the paper was to reveal the factors contributing to the growth of the labor potential in the Far Eastern Federal District based on an analysis of ongoing processes and existing regularities of critical interrelationships. The study is based on the analysis of changes in the population of the Far East regions, migration growth/decline indicators, life expectancy factors in the gender context, trends in loss/growth of budget incomes per capita as well as the per capita cash income. An integrated approach to increasing the labor potential of the population in the regions of the Far Eastern Federal District is proposed based on the analysis of the interrelationships of demographic, cultural, economic and social processes taking into account the concepts of self-protective behavior, human capital, and social clusterism. It is concluded that this approach can be used by government agencies in the implementation of the plan of the long-term socio-economic development of the Far East.


2021 ◽  
Vol 2 ◽  
pp. 106-110
Author(s):  
Rogneda Vasilyeva ◽  
Oleg Mariev ◽  
Elena Ignatieva ◽  
Alla Serkova

Inequality in the distribution of income of the population has a certain impact on different aspects of the economic and socio-cultural development of countries and regions. This inequality arises due to a number of factors as the current nature of the production specialization, the availability of production and economic infrastructure, the achieved level of development of the social sphere, socio-cultural, demographic, and other factors. The main objective of this study is to assess the nature and extent of the impact of income inequality in the Russian regions for the subsequent justification of the directions of socio-economic development. We conducted an econometric analysis of the impact of intraregional income inequality (the Gini coefficient), fixed capital investment per capita, and average per capita consumer spending on one of the main indicators of regional economic growth (GRP) per capita was carried out. The model is based on panel data for the period 2012-2018 for 85 regions of the Russian Federation. The results of the study confirm two of three hypotheses. As prospects for further research, it is proposed to consider the impact of inequality in the distribution of household income on economic growth for different groups of regions, including resource-type regions and regions with a predominance of manufacturing industries, as well as for leading regions and regions with a relatively low level of socio-economic development.


2002 ◽  
Vol 82 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Jelka Adamovic

Work elaborates indicators witch refers to socio - economic development. In the first part of work it is stated indicators which different authors are used. These indicators are used in empirical researches and in some sources there are theoretically treated. In the second part it is with the aid of induction method performed separation of indicators. It is elaborated economics, social, technological and indicators of urbanization. In the part of economical indicators are elaborated: national income per capita, structure of activities, level of expending.


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