An Analysis of the Impact of Technological Innovation on Regional Economic Growth : Considering Cross-sectional Dependence and Regional Heterogeneity

2021 ◽  
Vol 49 ◽  
pp. 125-140
Author(s):  
Su-Yeol Ryu ◽  
◽  
Il-Tae Kim ◽  
So-Youn Kim
Keyword(s):  
Economic Growth ◽  
Technological Innovation ◽  
Regional Economic Growth ◽  
Regional Heterogeneity ◽  
Cross Sectional ◽  
Regional Economic ◽  
Cross Sectional Dependence ◽  
The Impact

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 Agricultural R&D, spatial spillover and regional economic growth in different R&D sectors of performance: evidence from a spatial panel in regions of the EU-28

2018 ◽  
Vol 64 (No. 4) ◽  
pp. 163-169 ◽  
Author(s):  
Anousheh Shahrzad ◽  
Hojabr-Kiani Kambiz ◽  
Mojtahed Ahmad ◽  
Ranjbar Homayoun
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Regional Growth ◽  
Regional Economic Growth ◽  
Business Enterprise ◽  
Regional Economic ◽  
Spatial Spillover ◽  
Spatial Panel ◽  
Economic Output ◽  
The Impact

Agricultural R&D has been identified as an important determinant of economic output in the agricultural sector. Surprisingly, in previous studies, spatial spillover associated with R&D spending in the agricultural sector has not been taken into account. This paper investigates the effects of spatial spillover of agricultural R&D on regional economic growth across EU-28 NUTS-II regions in the period 1995–2014. In particular, we extend previous studies by considering spillover in all sectors of agricultural R&D performance including business enterprise, government and higher education. The spatial Durbin panel data model is employed to estimate brooders effect including direct and indirect effects. Empirical results show a positive effect of agricultural R&D and its spatial spillover on regional growth in all performance sectors. Moreover, the impact of spatial spillover of agricultural R&D on regional growth depends on the performance of the R&D sectors; positive spillovers are stronger in the business enterprise sector. Finally, the interaction effect between the economic output of the agricultural sector of each region with that of its neighbours is significantly positive.  

scholarly journals Has “The Belt and Road” initiative promoted regional economic growth and economic innovation?

2021 ◽  
Vol 275 ◽  
pp. 03020
Author(s):  
Ruolin Guo ◽  
Hongkai Zhao ◽  
Yingchu Zhang
Keyword(s):  
Economic Growth ◽  
Regional Economic Growth ◽  
Belt And Road Initiative ◽  
Difference In Differences ◽  
Regional Economic ◽  
Belt And Road ◽  
Economic Innovation ◽  
Good Policy ◽  
The Impact ◽  
The Belt And Road

The article regards “The Belt and Road” initiative as a quasi-natural experiment. Based on the county panel data from 1999 to 2017, difference-in-differences model (DID) is used to examine the impact of the “The Belt and Road” initiative on regional economic growth and economic innovation. The study found that the “The Belt and Road” initiative can significantly increase the economic growth and innovation of the region. Through the placebo test and the robustness test, it shows good policy uniqueness characteristics. The article further analyzes the heterogeneity of the initiative. The study found that the initiative has more obvious economic growth and innovation in the central region.

scholarly journals The Management of Urban Development for the Regional Economic Growth: the Example of Kazakhstan

2020 ◽  
Vol 16 ◽  
pp. 1285-1301
Author(s):  
Svetlana O. Mukhametzhan ◽  
Gulsara A. Junusbekova ◽  
Marat Ye. Daueshov
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Urban Development ◽  
Urban Policy ◽  
Holistic Approach ◽  
Regional Economic Growth ◽  
Urban Management ◽  
Regional Economic ◽  
Empirical Estimates ◽  
The Impact

Considering the increasing imbalance in the economic development of urbanised territories of Kazakhstan, examining the impact of urbanisation on the economic growth of cities to ensure their innovative development is necessary. This study analyses trends and problems of the impact of urbanisation on urban development on the example of Kazakhstan. The article focuses on urban development and related processes that will open new opportunities for Kazakhstan to accelerate economic growth and improve living standards. The works of local researchers do not show the relationship between the levels of urban and economic development in different regions of the country and the impact of urbanisation on this process. To supplement previous studies, we used statistical and comparative analysis methods. Moreover, we compared the current state of urban development in Kazakhstan with the situation in other countries. The obtained empirical estimates confirm the correlation between the level of urbanisation of a country and its economic growth. Without a holistic approach to urban management, it is difficult to establish the directions, principles and development strategies for Kazakhstan’s cities and megacities to follow. Thus, we identified the main directions for economic growth of urbanised territories of Kazakhstan: proper control and management of urbanisation, flexible management, development of appropriate policies for different regions of the country, use of best practices in developing urban strategies. We recommend considering the analysis of urban management in the broader context, and not only as a task of implementing regional economic growth. For that purpose, it is necessary to create an integrated multi-level management system that provides feedback and preventive management, classifying the consequences of urban policy in the regions and the effects of achieving the country’s strategic development goals. Therefore, the Kazakh government should at least review its functions and responsibilities and look for solutions to achieve a tangible synergistic effect.

scholarly journals PERTUMBUHAN EKONOMI REGIONAL DI INDONESIA: PERAN INFRASTRUKTUR, MODAL MANUSIA DAN KETERBUKAAN PERDAGANGAN

2020 ◽  
pp. 80
Author(s):  
Andi Kustanto
Keyword(s):  
Economic Growth ◽  
Life Expectancy ◽  
Trade Openness ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Road Infrastructure ◽  
Health Infrastructure ◽  
The Impact ◽  
Electricity Infrastructure ◽  
Years Of Schooling

This study discusses the analysis of the impact of infrastructure development,human capital and trade openness on regional economic growth in Indonesia using the paneldata method. The model was built based on the Solow growth model using road infrastructure,electricity infrastructure, health infrastructure, life expectancy, mean years of schooling and tradeopenness in 34 provinces in Indonesia. Estimation results obtained from this study using the fixedeffects model indicate that regional economic growth in Indonesia is influenced by electricityinfrastructure, health infrastructure, mean years of schooling, life expectancy, and trade openness.Whereas road infrastructure has a negative and not significant effect on regional economic growthin Indonesia. Life expectancy has the biggest impact on regional economic growth followed bymean years of schooling, health infrastructure, electricity infrastructure, and trade openness.

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