scholarly journals The Impact of High-Speed Railway on China’s Regional Economic Growth Based on the Perspective of Regional Heterogeneity of Quality of Place

2021 ◽  
Vol 13 (9) ◽  
pp. 4820
Author(s):  
Shanlang Lin ◽  
Prithvi Raj Dhakal ◽  
Zhaowei Wu
Keyword(s):  
Economic Growth ◽  
High Speed ◽  
Regional Economic Growth ◽  
High Speed Railway ◽  
Regional Economic ◽  
Fixed Assets ◽  
Quality Of Place ◽  
Investment In Fixed Assets ◽  
The Impact

Transport enables trade between people, which is essential for the development of civilizations. Transport is a crucial necessity for specialization, allowing production and consumption of products to occur at different locations. High-speed rail (HSR) allows the flow of people between regions, cities, countries. With rapid global development in HSR technology for passenger transportation, it plays a vital role in transportation systems. The improvement of the quality of cities with different emphasis will bring different economic development results. Therefore, exploring the impact of high-speed railways and quality of place on economic development is necessary. This paper takes the prefecture-level city with a high-speed railway opened in 2008–2013 as the research sample and takes other prefecture-level cities in the country as the control group. The study findings revealed that employment, investment in fixed assets, average wage, and higher education institute significantly affect China’s regional economic growth. Institute of higher education reflects the negative effect on the regional economic growth whereas the employment, investment in fixed assets, and average wage rate positively impact it. Based on the results, it can be concluded that China’s regional economy is significantly affected by its quality.

scholarly journals High-speed railway and regional economic growth: a case of Beijing-Shanghai high-speed railway

2019 ◽  
Vol 10 (2) ◽  
pp. 95-104
Author(s):  
Yonghong Chen
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
High Speed ◽  
Difference In Differences ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Regional Economic ◽  
The Difference ◽  
The Impact ◽  
Development Course

Abstract The development course of high-speed railway indicates that it not only changes the composition of traffic modes when competing with other modes of transportation, but also plays an important role in spurring the economic growth of the cities along the line and the evolution of regional spatial structure. Taking Beijing-Shanghai high-speed railway as an example, this paper constructs the first-level panel data of the cities along the Beijing-Shanghai high-speed railway and its surrounding cities from 2007 to 2016, and uses the difference-in-differences estimation to study the impact of high-speed rail opening on economic development. The research results show that it has significantly jump-started the economy of cities along the line. The Beijing-Shanghai high-speed railway will become a crucial axis for regional economic development along the Beijing-Shanghai railway, as it has remarkably advanced the economic development of the cities along the route.

Effectiveness of high-speed railway on regional economic growth for less developed areas

2020 ◽  
Vol 82 ◽  
pp. 102621 ◽  
Author(s):  
Yutian Liang ◽  
Keyang Zhou ◽  
Xun Li ◽  
Zhengke Zhou ◽  
Wei Sun ◽  
...  
Keyword(s):  
Economic Growth ◽  
High Speed ◽  
Regional Economic Growth ◽  
High Speed Railway ◽  
Regional Economic

scholarly journals A Study of Regional Economic Policy Focusing on Three Approaches

2005 ◽  
Vol 20 (1) ◽  
pp. 35-48
Author(s):  
Sam Youl Lee
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
The United States ◽  
Ordinary Least Squares ◽  
Regional Economic Growth ◽  
High Tech ◽  
Regional Economic ◽  
Quality Of Place ◽  
Industrial Mix

Regional economic growth can have a quite different dynamic and logic than national economic growth. This paper empirically investigates whether three major approaches to regional economic development: industrial mix, human capital, and quality of place significantly contribute to the regional economy. This paper tests the hypotheses using ordinary least squares (OLS) based on state-level data from the United States. The OLS results indicated a significant effect of industrial mix on regional economic growth when other factors were controlled for, though significance levels differed depending on the definition of "high-tech industry". The joint hypothesis test on human capital and quality of place showed they were statistically insignificant. The insignificance of the human-capital variables was different from the expectation. This may be caused by the fact that the level of analysis of this study is a state rather than a city, which may dilute the concentration of human capital in major cities. The significance of the industrial mix variables is meaningful because the positive relation between the concentration of high-tech industries and regional economic growth supports regional governments' efforts in Korea to establish or lure more high-tech industries into their regions. However, because the result is sensitive to various definitions of high-tech industries, it needs cautious interpretation.

scholarly journals Research on the influence of environmental pollution control on regional economic growth and labor market

2021 ◽  
Vol 275 ◽  
pp. 02022
Author(s):  
Yuechao Ren
Keyword(s):  
Economic Growth ◽  
Labor Market ◽  
Environmental Pollution ◽  
Pollution Control ◽  
Environmental Governance ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Government ◽  
The Impact

The rapid economic development has made environmental problems increasingly serious. In order to ensure the quality of residents’ life, environmental governance investment has been continuously strengthened in China. This paper studies the influence of investment in environmental pollution control on regional economy and labor market in 31 provinces and cities (except Xinjiang Corps) from 2000 to 2018. It is concluded that the impact of environmental pollution control investment on regional economic growth and the local employed personnel average wage is significantly negative, and the impact of environmental pollution control investment on local unemployment rate is significantly positive. In view of this conclusion, some suggestions are put forward from the perspective of the government.

scholarly journals The Impact of Quality of Education and Higher Education on Economic Growth

2020 ◽  
Vol 9 (1) ◽  
pp. 64-70
Author(s):  
Arman Arman ◽  
Budhi Purwandaya ◽  
Asep Saefuddin
Keyword(s):  
Economic Growth ◽  
Regional Economic Growth ◽  
Quality Of Education ◽  
Regional Economic ◽  
Tertiary Institutions ◽  
Observation Units ◽  
Basic Capital ◽  
The Impact

Education is the basic capital to create quality economic growth. Skillful and competitive human resources are a source of basic capital to create religious industrial technological innovation in order to support quality economic growth. This study aims to (1) analyze the relationship between education and growth in Indonesia and (2) compile a formulation of education policy as an important driving factor in long-term growth. The observation units analyzed were 33 provinces in Indonesia in the period 2013-2015. The data is then analyzed using the Data Analysis Panel approach. The results showed that the level of prosperity and prosperity was positively correlated with regional economic growth. This shows that the more qualified human development and increasing prosperity, the better economic growth in the region. Furthermore, the better the quality of education, the better economic growth. This result is inversely proportional to the large number of universities where the number of tertiary institutions does not have an influence on regional economic growth. This shows that the number of universities does not have a positive effect if it is not balanced with the number of qualified lecturers.

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.

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