Regional inequality by the Theil index

2020 ◽  
Vol 26 (10) ◽  
pp. 2310-2327
Author(s):  
M.V. Moroshkina
Keyword(s):  
Regional Difference ◽  
Social Indicators ◽  
Reproductive Potential ◽  
Regional Inequality ◽  
Regional Differentiation ◽  
Theil Index ◽  
Russian Regions ◽  
Productive Potential ◽  
Per Capita ◽  
The Difference

Subject. Regions are different across Russia in terms of most social and economic indicators. There is the regional inequality of economic and social indicators. The Russian regions demonstrate a serious gap in terms of the productive sector development, since the industrial and productive potential is unevenly allocated across regions. Objectives. The study mainly analyzes the dynamics of the regions’ economic development, which is measured by GRP per capita and industry. I also determine what caused regional disparities within 1990 through 2017. Thus, I examine the Russian regions and focus on the level of cross-regional differentiation of the reproductive potential. Methods. Examining the cross-regional difference, I sufficiently apply techniques for evaluating the regional inequality. As part of the study, I use the Theil index to measure the difference within a group and of groups. The study will not only reveal and analyze the extent of cross-regional differentiation, but also observe how the inflation influence the dynamics of regional difference of the Russian regions. Results. As part of the analysis of trends in the Theil index, the Russian regions were observed to have different GRP per capita and goods shipped. The findings signify a growth in the regional inequality. Conclusions and Relevance. The Russian regions are showed to fall into a greater disparity when oil prices grow. This may be possible due to a reduction in the State financial aid to lagging regions. As the regional differences were found to tend to grow, I can admit the divergence of the Russian regions. The findings can be used to create strategic documents, local and regional development programs.

Reproduction potential-based differentiation of Russian regions

2020 ◽  
Vol 18 (7) ◽  
pp. 1304-1319
Author(s):  
M.V. Moroshkina
Keyword(s):  
Spatial Development ◽  
Uneven Development ◽  
Regional Differentiation ◽  
Russian Regions ◽  
Policy Documents ◽  
Factors Influencing ◽  
Strategic Policy ◽  
Main Factors ◽  
Per Capita ◽  
Research Period

Subject. This article examines the issues related to changes in reproduction capacity and heterogeneity of the development of Russian regions. Objectives. The article aims to assess regional differentiation and investigate the main factors influencing the uneven development of the areas. Methods. For the study, we used the methods of comparative and correlation analyses. Results. The article identifies groups of leading and lagging Russian regions and assesses the possibility of convergence of Russian regions according to the analyzed indicators, such as GRP, GRP per capita, and the output of industry. Conclusions. The results obtained can be used when preparing strategic policy documents, spatial development programmes and concepts. The observed heterogeneity suggests that the regions maintain their positions throughout the research period.

scholarly journals Regional difference of water use in a significantly unbalanced developing region

Water Policy ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. 1182-1199
Author(s):  
Yanhu He ◽  
Zhuliang Lin ◽  
Xiaohong Chen
Keyword(s):  
Water Use ◽  
Regional Differences ◽  
Regional Difference ◽  
Driving Forces ◽  
Value Added ◽  
Guangdong Province ◽  
Theil Index ◽  
Total Water ◽  
Use Efficiency ◽  
Per Capita

Abstract With a service for the most developed economy and dense population in China, the water use of Guangdong province shows distinct regional difference and is subject to multiple driving forces. The regional differences of total water use (TWU) and water use efficiency (WUE) for Guangdong province and its four sub-regions (i.e. Pearl River Dealt region (PRD), Eastern Wing (YD), Western Wing (YX), and Northern Mountain Region (YB)) were quantified by Theil index, and the influence of various variables on WUE was evaluated through multiple linear regression (MLR) models. Overall, Theil index of TWU showed a decreasing trend whereas Theil index of WUE increased in recent decades, suggesting that Guangdong province has experienced an enlarging regional difference of WUE along with a gradually weakened regional difference of TWU. The PRD has the most significant regional differences of WUE and TWU and accounts for a predominated proportion in the total regional difference. Theil indexes of GDP of industry, per capita GDP and per capita value-added by agriculture had positive regression coefficients and were found to have the most significant impact on the regional difference of WUE. This study has the potential to promote a balanced and coordinated regional development in terms of even regional WUE and TWU.

scholarly journals Determinants and Differences of Township Hospital Efficiency among Chinese Provinces

2019 ◽  
Vol 16 (9) ◽  
pp. 1601 ◽  
Author(s):  
Bo Li ◽  
Muhammad Mohiuddin ◽  
Qian Liu
Keyword(s):  
Economic Development ◽  
Regional Difference ◽  
Malmquist Index ◽  
Theil Index ◽  
Local Conditions ◽  
Development Level ◽  
Grey Correlation Analysis ◽  
Correlation Analysis Method ◽  
The Difference ◽  
Township Hospitals

This study aimed to measure the efficiency and change in efficiency over time of township hospitals among Chinese provinces, to decompose the difference in efficiency between districts, and to study the correlations between the difference in efficiency and its determinants. Based on Chinese provincial panel data, the empirical analysis was established using data envelopment analysis (DEA), Malmquist index, Theil index decomposition method and Grey correlation analysis method. First, it was found that the township hospitals in most provinces were operating in an inefficient state, and the township hospitals in most provinces achieved gains in efficiency. Second, from 2003 to 2016 the shrinkage of the difference in provincial efficiency of township hospitals progressed slowly. Intra-regional difference is the main cause of the overall provincial efficiency difference of Chinese township hospitals, while inter-regional difference is the minor cause of the overall difference. Third, the correlation between the difference of overall provincial efficiency and the difference of economic development level is the highest among all the correlations, while other determinants rank second to seventh place in their degree of correlation with respect to the overall difference in provincial efficiency. Furthermore, the correlations between the intra-regional difference of provincial efficiency of Chinese township hospitals and its determinants vary tremendously across regions. Based on our findings, we can conclude, first, that efforts should be made to improve the overall provincial difference in efficiency of Chinese township hospitals, and enhance the utilization level of input resources, and to reduce resource waste. Second, in order to shrink the overall provincial efficiency of Chinese township hospitals, the most important measure that should be taken is to improve the economic development level in relatively backward provinces in order to lay a solid economic foundation for the improvement of efficiency and shrink the differences in efficiency between provinces. Third, more attention should be paid to the shrinkage of intra-regional efficiency differences in Chinese township hospitals, while the narrowing of inter-regional efficiency difference should not be ignored. For each region, it is necessary to recognize the difference in the relative importance of determinants, and to make development strategies according to local conditions so as to make full use of local characteristics and advantages.

scholarly journals THE CONSTRUCTION OF URBAN PUBLIC SPORTS SERVICE FROM THE PERSPECTIVE OF PUBLIC HEALTH

2021 ◽  
Vol 27 (spe) ◽  
pp. 69-72
Author(s):  
Xiaolong Zhang
Keyword(s):  
Population Density ◽  
Reference Value ◽  
Theil Index ◽  
Index Method ◽  
Per Capita Gdp ◽  
Aging Rate ◽  
Sports Clubs ◽  
Service Efficiency ◽  
Per Capita ◽  
The Difference

ABSTRACT With the deepening of urban public sports service construction in China, the construction of public sports service system has become an important guarantee for mass sports rights in China. In view of this, this study takes City XX as an example, and analyzes the difference of public sports service construction in this city using the Theil index method, and determines the measurement index. It analyzes the equality degree of service resource allocation among and within the four regions of City XX, including A, B, C, D, and so on. The influencing factors of sports service efficiency are analyzed. The results show that there are significant differences in the allocation of public sports service resources among districts and counties of City XX. From the overall difference, the total Theil index of national fitness and sports clubs showed an upward trend, while others showed a downward trend. From the perspective of regional differences, there were 6 indicators with the highest equalization level in area C and 5 indicators in area A. The lowest level was found. Population density, per capita GDP, aging rate and urbanization rate of city XX have obvious positive correlations with public sports service efficiency. The aging rate is the most positive factor, while per capita GDP and population density have little influence. This study can provide some reference value for other cities in China in the construction of public sports services.

Atlas of economic complexity, Russian regional pages

2018 ◽  
pp. 71-91 ◽  
Author(s):  
I. L. Lyubimov ◽  
M. V. Lysyuk ◽  
M. A. Gvozdeva
Keyword(s):  
Value Added ◽  
Growth Strategy ◽  
Gdp Per Capita ◽  
Export Diversification ◽  
Russian Regions ◽  
Economic Complexity ◽  
Diversification Strategies ◽  
Central Regions ◽  
Per Capita ◽  
Regions Of Russia

Well-established results indicate that export diversification might be a better growth strategy for an emerging economy as long as its GDP per capita level is smaller than an empirically defined threshold. As average incomes in Russian regions are likely to be far below the threshold, it might be important to estimate their diversification potential. The paper discusses the Atlas of economic complexity for Russian regions created to visualize regional export baskets, to estimate their complexity and evaluate regional export potential. The paper’s results are consistent with previous findings: the complexity of export is substantially higher and diversification potential is larger in western and central regions of Russia. Their export potential might become larger if western and central regions, first, try to join global value added chains and second, cooperate and develop joint diversification strategies. Northern and eastern regions are by contrast much less complex and their diversification potential is small.

Analysis of compliance of box sizes to comfortable housing of highly productive cows

2020 ◽  
pp. 42-50
Author(s):  
V. Turlyun
Keyword(s):  
Free Movement ◽  
Research Results ◽  
Total Length ◽  
Genetic Potential ◽  
Productive Potential ◽  
The Difference

The analysis of some herds of imported cattle under the conditions of Russian farms had been shown that the genetic potential of imported cattle in many farms has being realized only by 57 %, with the output of up to 50 % of the cattle during the first 2 years. The reason for this is the discrepancy between the conditions of the biological needs of animals. In this regard, the study of factors that affect the provision of comfortable conditions for animals plays an important role. This is especially true for Holstein animals, which are more susceptible to various diseases. In accordance with the technological solutions used in modern large complexes, the loose housing method of maintenance is mainly used. This method allows the animal to move freely, providing access to the consumption of water and feed, as well as timely rest. This determines the importance of the requirements for the size of the boxes for the rest of animals, which should ensure dryness and cleanliness in the process of resting cows, prevent damage to animals, as well as the ability of other animals to displace each other. The crossbars should not interfere with the free movement of the cow in the process of lowering to the floor and getting up due to their flexibility. The dimensions of the boxes should be made taking into account the measurements of the animals’ torso, as well as the amplitude of movement in the process of lowering and rising. The purpose of the research was to study the size of boxes and their compliance with the biological needs of highly productive imported cattle. An analysis of the compliance of conditions for housing highly productive cattle of Canadian and Australian origin with their biological needs under the conditions of a mega farm has been presented in the paper. Calculation on the basis of measurements of animals has been shown that animals of the Canadian selection require boxes with a total length of at least 279 cm, Australian – 271 cm. The difference with the required width of the box has been also established. For the group of cows of Canadian selection it should be at least 120 cm, for the Australian – 114 cm. Research results have been shown that the discrepancy in the design of boxes for comfortable rest of animals is a deterrent to the realization of their genetic productive potential.

Gender and Regional Differences in the Life Expectancy in Russia

2020 ◽  
Vol 27 (1) ◽  
pp. 106-120 ◽  
Author(s):  
L. A. Rodionova ◽  
E. D. Kopnova
Keyword(s):  
Drinking Water ◽  
Alcohol Consumption ◽  
Life Expectancy ◽  
Gender Gap ◽  
Poor Quality ◽  
Living Conditions ◽  
Regional Differentiation ◽  
Russian Regions ◽  
Poor Nutrition

The relevance of the chosen topic is closely related to the development of a system for monitoring the implementation of the May Presidential Decree (2018) to increase life expectancy and improve the quality of life of the population. It has been stated that despite the positive dynamics of life expectancy over the past decade, Russia still has a huge regional differentiation (16,6 years for women, 18,2 years for men in 2016) and an average gender gap - 10,6 years. The choice of factors affecting the gender gap in life expectancy in Russian regions is supported by a conclusion most common in foreign studies that climatic conditions, living conditions, the quality of food and drinking water, alcohol consumption are essential components of public health and life expectancy.The article provides an overview of studies on assessment factors of life expectancy, presents the authors’ approach to identifying gender gaps in life expectancy, living conditions, and lifestyle affecting the indicator of life expectancy. The paper presents the results of a comparative analysis of gender gap in life expectancy in Russia and foreign countries. The paper studies the correlation between living conditions and lifestyle, and life expectancy.Classification of the regions by the life expectancy at birth for men and women is an important component of this study. The authors used Rosstat data for 2016 and the k-means method to select three clusters of Russian regions taking into account gender, living conditions and lifestyle. The paper identifies similar health problems of the regions that are associated with alcohol consumption, poor nutrition and poor quality of drinking water, poor housing and living conditions. The lowest life expectancy rates for men and women are recorded in regions of the 1st cluster (Jewish Autonomous Region, Republic of Tuva, Chukotka Autonomous Area). High mortality rates are a result of external causes. There is a poor quality of drinking water and poor nutrition, excessive alcohol consumption, and inadequate housing conditions.Based on the obtained results were determined possible reserves for reducing the gender and regional differentiation of life expectancy.

scholarly journals Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3864
Author(s):  
Qiucheng Li ◽  
Jiang Hu ◽  
Bolin Yu
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Decomposition Analysis ◽  
Theil Index ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Index Method ◽  
Inequality Measures ◽  
Influencing Mechanism ◽  
Per Capita

The residential sector has become the second largest energy consumer in China. Urban residential energy consumption (URE) in China is growing rapidly in the process of urbanization. This paper aims to reveal the spatiotemporal dynamic evolution and influencing mechanism of URE in China. The spatiotemporal heterogeneity of URE during 2007–2018 is explored through Kernel density estimation and inequality measures (i.e., Gini coefficient, Theil index, and mean logarithmic deviation). Then, with several advantages over traditional index decomposition analysis approaches, the Generalized Divisia Index Method (GDIM) decomposition is employed to investigate the impacts of eight driving factors on URE. Furthermore, the national and provincial decoupling relationships between URE and residential income increase are studied. It is found that different provinces’ URE present a significant agglomeration effect; the interprovincial inequality in URE increases and then decreases during the study period. The GDIM decomposition results indicate the income effect is the main positive factor driving URE. Besides, urban population, residential area, per capita energy use, and per unit area energy consumption positively influence URE. By contrast, per capita income, energy intensity, and residential density have negative effects on URE. There is evidence that only three decoupling states, i.e., weak decoupling, strong decoupling, and expansive negative decoupling, appear in China during 2007–2018. Specifically, weak decoupling is the dominant state among different regions. Finally, some suggestions are given to speed up the construction of energy-saving cities and promote the decoupling process of residential energy consumption in China. This paper fills some research gaps in urban residential energy research and is important for China’s policymakers.

scholarly journals The Regional Inequity of CO2 Emissions per Capita in China

2017 ◽  
Vol 9 (7) ◽  
pp. 228 ◽  
Author(s):  
Ting Liu ◽  
Wenqing Pan
Keyword(s):  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Theil Index ◽  
Energy Structure ◽  
Co2 Emission Reduction ◽  
Index Method ◽  
Per Capita

This paper combines Theil index method with factor decomposition technique to analyze China eight regions’ inequality of CO2 emissions per capita, and discuss energy structure, energy intensity, industrial structure, and per capita output’s impacts on inequality. This research shows that: (1) The trend of China regional carbon inequality is in the opposite direction to the per capita CO2 emission level. Namely, as the per capita CO2 emission levels rise, regional carbon inequality decreases, and vice versa. (2) Per capita output factor reduces regional carbon inequality, whereas energy structure factor and energy intensity factor increase the inequality. (3) More developed areas can reduce the carbon inequality by improving the energy structure, whereas the divergence of energy intensity in less developed areas has increased to expand the carbon inequity. Thus, when designing CO2 emission reduction targets, policy makers should consider regional differences in economic development level and energy efficiency, and refer to the main influencing factors. At the same time, upgrading industrial structure and upgrading energy technologies should be combined to meet the targets of economic growth and CO2 emission reduction.

scholarly journals To the Problem of Estimating Inter-regional Differentiation of Per Capita Incomes

2017 ◽  
Vol 17 (3) ◽  
pp. 266-273 ◽  
Author(s):  
Mikhail N. Tolmachev ◽  
◽  
Nikilay G. Barashov ◽  
Andrey V. Latkov ◽  
◽  
...  
Keyword(s):  
Regional Differentiation ◽  
Per Capita
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