scholarly journals Contribution of Human and Capital on Regional Economic Growth of Sumedang District of Indonesia

2019 ◽  
Vol 1 (1) ◽  
pp. 15
Author(s):  
Achmad Rizal
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Regression Analysis ◽  
Human Growth ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Times Series ◽  
Capital Growth ◽  
Regional Product

This article presents the analysis of the contribution of human capital growth and capital growth to regional economic development of sumedang district. Multiple regression Analysis by OLS model is applied to know the contribution of human growth variable and capital growth variable. While to know influence a number of variables about contribution to Sumedang Regional economic  is applied by data times series from the year 1980-2010.  This study shows that, human capital growth contribution negatively and insignificantly to the growth of the gross domestic regional product and capital growth has positively and significant influence on Sumedang Regional economic growth. 

scholarly journals Social capital and economic growth in the regions of Europe

2021 ◽  
pp. 0308518X2110000
Author(s):  
Jonathan Muringani ◽  
Rune D Fitjar ◽  
Andrés Rodríguez-Pose
Keyword(s):  
Economic Growth ◽  
Social Capital ◽  
Human Capital ◽  
European Social Survey ◽  
Knowledge Flows ◽  
Regional Economic Growth ◽  
Lower Growth ◽  
Regional Economic ◽  
Bonding Social Capital ◽  
Bridging Social Capital

Social capital is an important factor explaining differences in economic growth among regions. However, the key distinction between bonding social capital, which can lead to lock-in and myopia, and bridging social capital, which promotes knowledge flows across diverse groups, has been overlooked in growth research. In this paper, we address this shortcoming by examining how bonding and bridging social capital affect regional economic growth, using data for 190 regions in 21 EU countries, covering eight waves of the European Social Survey between 2002 and 2016. The findings confirm that bridging social capital is linked to higher levels of regional economic growth. Bonding social capital is highly correlated with bridging social capital and associated with lower growth when this is controlled for. We do not find significantly different effects of bonding social capital in regions with more or less bridging social capital, or vice versa. We examine the interaction between social and human capital, finding that bridging social capital is fundamental for stimulating economic growth, especially in low-skilled regions. Human capital also moderates the relationship between bonding social capital and growth, reducing the negative externalities imposed by excessive bonding.

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 Measuring Nineteenth Century Regional Economic Growth: Historiography and Methods

2020 ◽  
Vol 16 (3) ◽  
pp. 241-268
Author(s):  
Dmitry Yu. Karasev
Keyword(s):  
Economic Growth ◽  
Nineteenth Century ◽  
Economic Development ◽  
Economic History ◽  
Regional Economic Growth ◽  
Late Nineteenth Century ◽  
Tertiary Sector ◽  
Regional Economic ◽  
Main Challenge ◽  
National Values

Introduction. The scope of regional economic inequality, its causes and consequences are relevant issues in the economic history. High regional inequality impedes representative estimation of national economic development and international comparison. The end of 19th and beginning of 20th centuries was the time when industrialization, states’ economic and political integration led to their regional divergence/convergence. Methods. The main challenge of measuring and accounting for 19th century regional economic growth is a scarcity of regional historical and economic statistics. Thus, the paper concerns with historiographical analysis of successful attempts to face this challenge in economic history. Results. It can be distinguished three approaches to historical regional economies accounting depending of relevant statistics availability: 1) for countries with high regional-data integrity, GRP can be estimated as a sum of its residents’ incomes (R. Easterling’s method); 2) for countries with moderate regional statistics being saved, it is possible to estimate GRP through distributing known GDP totals across regions on the basis of indicators of regional sectors’ shares (Geary-Stark method); 3) for countries with poor regional historical statistics it fits only short-cut approach on the basis of indirect regional economic indicators (Crafts’ approach and Good–Ma method). Furthermore, the paper deals with following methods and models used in quantitative explorations of unequal regional economic development: shift-share analysis, β and σ-convergence. Discussion. It appears that historical statistics from the Governors reports makes possible to distribute known national values added in the first and secondary sectors across provinces of the late-nineteenth century Russian Empire in the line with Geary–Stark methodology. The contribution of tertiary sector to the provinces’ economic growth could be estimated on the basis of indirect indicators from the same historical source and the other sources, following Good–Ma methodology. Finally, the cross-checking of the GRP to be calculated is possible through comparison with A. Markevich estimates for 1897.

Linkage Between Regional Accessibillity, Economic Development, and Logistic Infrastructure

2018 ◽  
pp. 719-744
Author(s):  
Ana Vulevic
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Empirical Evidence ◽  
Important Determinant ◽  
Regional Economic Development ◽  
Policy Instrument ◽  
Transport Policy ◽  
Transport Infrastructure ◽  
Regional Economic Growth ◽  
Regional Economic

This chapter reviews regional accessibility and relationship between regional accessibility, the logistic infrastructure and regional economic development. The purpose of this chapter is to emphasize the complexity and causality of this relationship. Transport infrastructure is an important policy instrument to promote regional economic development. In addition, development of logistics is a very important part of the transport policy, while accessibility is an important determinant of the attractiveness of regions for logistics activities. Accessibility indicators measure the benefits households and firms in a region enjoy from the existence and use of the transport infrastructure. Economic development may determine transportation needs and lead to infrastructure improvements and accessibility. The theoretically is defined and empirical evidence that transport accessibility suggests that there is a link between the accessibility of the region and its competitiveness and, therefore, regional economic growth.

scholarly journals The Distribution of Benefits from Industrialization in Rural Areas: Some Findings

1982 ◽  
Vol 11 (2) ◽  
pp. 71-77
Author(s):  
Richard F. Bieker
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Income Inequality ◽  
Rural Areas ◽  
Regional Economic Growth ◽  
Skilled Labor ◽  
Regional Economic ◽  
Policy Proposals ◽  
Trickle Down

Industrialization has long been proposed as a policy for promoting regional economic growth and reducing the incidence of unemployment, poverty and dependency in lagging regions (Smith). Such policy proposals are based on the trickle down theory. This theory holds that economic development results in an increase in the demand for skilled labor which in turn results in an upgrading of the positions of the semiskilled, unskilled, and unemployed. The result is economic growth and a reduction in the incidence of unemployment, poverty and dependency and the degree of income inequality in the area.

scholarly journals Human Capital and Regional Economic Growth in Russia

2021 ◽  
Vol 17 (2) ◽  
pp. 57-80
Author(s):  
Boris Alekhin
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Capital Accumulation ◽  
Positive Impact ◽  
Regional Economic Growth ◽  
Human Capital Accumulation ◽  
Regional Economic ◽  
Long Run ◽  
Per Capita

This study examines the contribution of human capital accumulation to regional economic growth using panel data for 82 subjects of the Russian Federation over 2002–2019. This paper aims to test the hypothesis that in the long-run equilibrium there exists a connection between economic growth and human capital accumulation in the regions of Russia. From the point of view of econometrics, it would mean that we should refute the hypothesis that there is no cointegration of time series describing the aforementioned variables. General theoretical framework was drawn from the neoclassical growth theory, and panel data econometrics suggested the appropriate empirical methodology. Pooled mean group and fully modified least squares estimators were applied to an autoregressive distributed lags model based on the Solow model. The results indicate that accumulation of human capital has a positive and statistically significant long-term impact on the rate of growth of per capita income and that these variables are cointegrated. Such calculations allow us to make the following conclusions: per capita GRP is cointegrated with physical and human capital on the regional level. The cointegrating equation ‘explained’ more than 90% of per capita GRP variance. Human capital accumulation had a significant positive impact on per capita GRP growth in the long run; such impact exceeded the impact of physical capital accumulation. The positive impact of human capital accumulation on per capita GRP growth surpassed the negative elasticity of growth GRP by the amount of resource excluded from the real sector to provide support to students and maintain the regional education system. The paces at which regional economies were heading towards the steady state differed which is an evidence that there exist an incredible manifold of ways and means for regions to adjust to disbalancies

scholarly journals The Analysis of Development Disparities Inter Districts/ City in Special Region of Yogyakarta (DIY) Province 2003-2013

2016 ◽  
Vol 20 (1) ◽  
pp. 23
Author(s):  
Anisa Nurpita ◽  
Aulia Agni Nastiti
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Human Resources ◽  
Natural Resources ◽  
Development Process ◽  
Development Economic ◽  
Economic Potential ◽  
Regional Economic ◽  
Regional Product ◽  
Special Region

One of the objectives of regional economic development is to increase the economic sector, in which the increasing of economics sector will be beneficial for society. This indicator is important to recognize the condition of the economy in particular region in given period indicated by GDRP (Gross Domestic Regional Product) data of the region or area. Since the enactment of the autonomy then the local Government has bigger role in managing regional economic potential that exists in its territory. Economic growth is one of indicators that affect economic development. Economic development in substance aims to increase public welfare. Yogyakarta province is one of cities on the island of Java with the level of GDRP that keeps increasing each year since 2003 until 2013.In the development process there are also regions that have abundant of natural resources but lacking in human resources, and yet there are also regions that are otherwise lacking in terms of natural resources however have abundant in human resources, both in quality and quantity. This situation then leads to the distinction in development that resulted in the economic growth and disparities welfare in each region.  The research also aims to identify the patterns of economic growth according to Klassen Typology and describe the level of regional disparities between districts/cities in Special Region of Yogyakarta (DIY) Province. The methods of analysis used covers analysis of the Klassen Typology, inequality Williamson Index, and inequality Theil Entropy Index. The results showed classifications according to Klassen Typology, Yogyakarta is concluded in the category of advanced and fast growing area. The index disparities show a pattern of increasing. This implies that development in district / cities in Special Region of Yogyakarta (DIY) Province are increasingly uneven.

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