An analysis of regional product by Three Strata of Industry based on K-means method

2011 ◽  
Author(s):  
Junli Wang ◽  
Zhenyu Liu
Keyword(s):  
Regional Product

The economy of the Chukotka Autonomous Okrug: On the path from monodependence to diversification

2020 ◽  
Vol 18 (4) ◽  
pp. 662-674
Author(s):  
S.G. Serikov
Keyword(s):  
Economic Development ◽  
Statistical Analysis ◽  
Gross Regional Product ◽  
Key Factors ◽  
Economic Problems ◽  
Analysis Methods ◽  
Socio Economic Development ◽  
Regional Product ◽  
Statistical Analysis Methods

Subject. This article explores the changes in the economic development of the Chukotka Autonomous Okrug during the Soviet and post-Soviet periods. Objectives. The article aims to identify trends and features of the socio-economic development of the Chukotka Autonomous Okrug. Methods. For the study, I used the comparative, computational, constructive, and statistical analysis methods. Results. The article reveals key factors in the growth of the Chukotka Autonomous Okrug's gross regional product and the economic challenges to the region. As well, the article considers and proposes some possible options for further socio-economic development of the Okrug. Conclusions. The Okrug's current socio-economic problems are caused by not objective reasons only, but subjective factors, as well.

scholarly journals Benchmark of the Trends of Spatial Inequality in World Megaregions

2021 ◽  
Vol 13 (11) ◽  
pp. 6456
Author(s):  
Ziqi Liu ◽  
Ming Zhang ◽  
Liwen Liu
Keyword(s):  
United States ◽  
High Speed ◽  
Investment Strategy ◽  
The United States ◽  
Spatial Inequality ◽  
Theil Index ◽  
High Speed Rail ◽  
International Learning ◽  
Regional Product ◽  
Index Measure

There have been growing concerns around the world over the rising spatial inequality (SI) amid fast and vast globalization. This paper presents an effort to benchmark the conditions and trends of spatial inequality in 37 megaregions in the United States, Europe, and China. Furthermore, the study selected three megaregion examples and analyzed the effect of developing high-speed rail (HSR) as an infrastructure investment strategy on reshaping the spatial pattern of job accessibility. The study measures spatial inequality with the Theil index of gross regional product and with the rank-size coefficient of polycentricity. Results show that spatial inequality exists and varies in magnitude within and between megaregions. On average, Chinese megaregions exhibited the level of spatial inequality about two times or more of those in the U.S. and European megaregions. The decade between 2006 and 2016 saw a decrease in the Theil index measure of megaregional inequality in China, but a slight increase in the United States and Europe. Fast growing megaregions exhibit high levels and rising trends of spatial inequality regardless of the country or continent setting. HSR helps improve mobility and accessibility; yet the extent to which HSR reduces spatial inequality is context dependent. This study presents a first attempt to assess and compare the spatial inequality conditions and trajectories in world megaregions aiming at promoting international learning.

Spatiotemporal Differences in Relative Efficiency of Regional Industrial Water Utilization in Xinjiang

2013 ◽  
Vol 726-731 ◽  
pp. 3559-3563
Author(s):  
Wen Hui Lv ◽  
Zhi Gang Gao
Keyword(s):  
Relative Efficiency ◽  
Water Distribution ◽  
Industrial Structure ◽  
Industrial Water ◽  
Water Usage ◽  
Water Utilization ◽  
Productive Water ◽  
Use Efficiency ◽  
Using Data ◽  
Regional Product

DEA was used to estimate the relative efficiency of industrial water in Xinjiang. Using data from 2005 to 2010 for fifteen prefectures in Xinjiang, this research selected productive water usage, employed persons, land area and fixed asset investment as the inputs, and chose gross regional product as the output. The scale redundancy ratio and technical redundancy ratio were also calculated. On the basis, the water utilization relative efficiency was calculated for every prefecture and the spatial-temporal variation of regional industrial water distribution were discussed. The spatial analyses show that the relative efficiency of industrial water utilization is distinctly different among the fifteen prefectures. Agriculture-oriented areas have relatively low water use efficiency, mainly due to the large proportion of agricultural water and seriously wasted water. Every prefecture should adjust the industrial structure and strengthen the agricultural water's conservation according to local condition.

TELECOMMUNICATION NETWORKS AS A BASE FOR BRIDGING THE DIGITAL DIVIDE BETWEEN RUSSIAN FEDERATION REGIONS

2021 ◽  
Author(s):  
Н.А. ЧИСТОВА ◽  
А.С. БОРОДИН ◽  
А.Е. КУЧЕРЯВЫЙ
Keyword(s):  
Digital Divide ◽  
Communication Networks ◽  
Russian Federation ◽  
Educational Process ◽  
Telecommunication Networks ◽  
Gross Regional Product ◽  
Planning And Design ◽  
The Russian Federation ◽  
Regional Product ◽  
The Relationship

Статья посвящена анализу возможностей сетей связи для сокращения цифрового разрыва между регионами Российской Федерации. Основным результатом статьи является установление взаимосвязи валового регионального продукта и доли занятых в сфере информатизации и связи в общем числе занятых во всех отраслях. Результаты статьи могут быть использованы заинтересованными министерствами и ведомствами при реализации программы цифровой экономики, научными и проектными организациями при планировании и проектировании сетей связи, а также университетами в учебном процессе. The article is devoted to the analysis of the capabilities of telecommunication networks with ultralow latency to reduce the digital divide between the regions of the Russian Federation. The main result of the article is to establish the relationship between the gross regional product and the share of people employed in the field of informatization and communications in the total number of people employed in all industries. The results of the article can be used by interested ministries and departments in the implementation of the digital economy program, scientific and design organizations in the planning and design of communication networks, as well as by universities in the educational process.

Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth

REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Digital Transformation ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Regions Of Russia

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

scholarly journals Efficiency and Effectiveness of Government Expenditure on Education at Districts/Cities Level in East Java Indonesia

2017 ◽  
Vol 13 (8) ◽  
pp. 91
Author(s):  
Achmad Solihin ◽  
Djoko Mursinto ◽  
Lilik Sugiharti
Keyword(s):  
Panel Data ◽  
Local Government ◽  
Government Expenditure ◽  
Educational Outcome ◽  
Household Expenditure ◽  
Panel Data Regression ◽  
Data Regression ◽  
Efficiency And Effectiveness ◽  
Local Government Expenditure ◽  
Regional Product

The purpose of this study is to investigate and analyze the efficiency and effectiveness of local government expenditure on education sector in districts and cities level of East Java, during the periods 2007-2014. Furthermore, this study will evaluate the impacts of local government expenditure, household expenditure for education, and regional product domestic bruto or (PDRB) on the educational outcomes, namely education index.Data Envelopment Analysis (DEA) is selected as the methodology for analyzing the efficiency of local government expenditure on educational outcome. The model assumes constant return to scale (CRS) and variable return to scale (VRS). Measurement of the effectiveness of government spending is done by using panel data regression. Data for supporting the analyses is panel data from 38 districts and cities in East Java for the periods of 2007 – 2014. The results show that government expenditure in educational sector is relatively inefficient. Government Expenditure for Education (PPP) has no significant impact on educational index, while Household expenditure for education (PPRT) and GRDP per Capita positive has significant impact on the Education Index (IP). This imply that government expenditure for educational sector is not effective improving educational index.

Sign in / Sign up

Export Citation Format

Share Document