Spatial Econometric Analysis of Urban and County-level Economic Growth Convergence in China

2016 ◽  
Vol 41 (4) ◽  
pp. 410-447 ◽  
Author(s):  
Guangdong Li ◽  
Chuanglin Fang
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Population Growth ◽  
Convergence Rates ◽  
Spatial Econometric ◽  
Cross Sectional ◽  
Growth Convergence ◽  
Savings Rate ◽  
Spatial Panel Data

Economic growth convergence, one of the classical assumption in regional economic growth, has been perplexing. There are many empirical studies trying to test if there is regional convergence in China. In this article, we bring new information of the finer spatial scale to the existing literature by using neoclassical convergence analysis, cross-sectional specifications, panel data models, and spatial econometric techniques to test the convergence hypothesis across 2,286 cities and counties in China. Empirical findings from cross-sectional data and spatial panel data show that significant absolute β and conditional β convergence are present in gross domestic product per capita after controlling for investment return rate, human capital, savings rate, population growth, technology advancement, capital depreciation rate, and initial technology level. We also find spatial agglomeration in urban and county economic growth is strong, and spatial effects are significant. Urban and county economic growth convergence rates for 1992–2010 show a gradually accelerated development trend. We present significant evidence that levels of investment, human capital, and initial technology impose significant facilitating effects on city and county economic growth, while savings and population growth have significant negative effects. And city and county economic growth differ in terms of convergence levels and influential factors.

scholarly journals The impact of human capital on the economic growth of Vietnam’s cities and provinces: a spatial econometrics approach

2020 ◽  
Vol 4 (1) ◽  
pp. First
Author(s):  
Nguyen Van Si ◽  
Le Trung Kien
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Spatial Econometrics ◽  
Positive Impact ◽  
Spatial Econometric ◽  
Investment Capital ◽  
Total Investment ◽  
Per Capita ◽  
The Impact

Human capital is crucial for national economic growth and for local economic growth as well. In an attempt to investigate the effect of human capital on the economic growth in Vietnam’s cities and provinces, the author adopts spatial econometric models of SDM, SAR, SEM for panel data. Human capital is measured by regular expenditure on education and numbers of trained labors in each province/city. The data used in this study is obtained from the Statistical Yearbook of 63 provinces published by the General Statistics Office in the period of 2010 - 2017. The results show that the SDM model for panel data is more suitable than the SAR, SEM models for research data. Moreover, the gross output per capita of a province/city is not only affected by its regular expenditure on education but also by that of neighboring provinces/cities. GDP per capital of a province/city is also affected by the GDP of its neighboring provinces/cities. In addition, control variables such as total investment capital, population size, provincial competitiveness index of local or neighboring provinces also exert a positive impact on the GDP per capita of a province/city. The influence of trained labor on the economic growth of a province/city has not been found.

Human capital and economic growth revisited: A dynamic panel data study

2002 ◽  
Vol 8 (3) ◽  
pp. 177-187 ◽  
Author(s):  
G. Agiomirgianakis ◽  
D. Asteriou ◽  
V. Monastiriotis
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Dynamic Panel Data ◽  
Dynamic Panel

On the Effectiveness of Growth- Enhancing Policies in a Model of Growth Without Scale Effects

2002 ◽  
Vol 3 (3) ◽  
pp. 339-346 ◽  
Author(s):  
Lutz G. Arnold
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Human Capital ◽  
Population Growth ◽  
Capital Accumulation ◽  
Scale Effects ◽  
Growth Models ◽  
Empirical Studies ◽  
Human Capital Accumulation ◽  
Accelerate Growth

Abstract Standard R&D growth models have two disturbing properties: the presence of scale effects (i.e., the prediction that larger economies grow faster) and the implication that there is a multitude of growth-enhancing policies. Recent models of growth without scale effects, such as Segerstrom's (1998), not only remove the counterfactual scale effect, but also imply that the growth rate does not react to any kind of economic policy. They share a different disturbing property, however: economic growth depends positively on population growth, and the economy cannot grow in the absence of population growth. The present paper integrates human capital accumulation into Segerstrom's (1998) model of growth without scale effects. Consistent with many empirical studies, growth is positively related not to population growth, but to investment in human capital. And there is one way to accelerate growth: subsidizing education.

scholarly journals The Nigerian population: A treasure for national development or an unsurmountable national challenge

2021 ◽  
Vol 2 (1) ◽  
pp. 136-142
Author(s):  
Vitalis Jafla Pontianus ◽  
Oruonye E.D.
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Population Growth ◽  
National Development ◽  
Developed Countries ◽  
Resource Scarcity ◽  
Population Increase ◽  
High Population ◽  
Major Player ◽  
The World

Nigeria is the most populous black nation in the world. It is equally one of the Less Developed Countries (LDCs) with very high population. Population growth is a very important element and a challenge in the development process in LDCs. The population of Nigeria is expected to continue to grow up to 239 million by 2025 and 440 million by 2050, thereby ranking it to 4th position among countries of the World with high population. This without doubt will place Nigeria in a position of major player in the global system, and more importantly in the African region. It is against this background that this study examines Nigeria’s population composition by poising the following questions; will Nigeria’s present and future population structure be a benefit or a burden? How can Nigeria’s relative share of working-age composition (15- 64) and dependents (under 15 and 65 and over) contribute to long term economic growth and development of the country? The findings of the study reveals that population growth is a critical factor in the development of any economy, providing workforce for production of goods and services to boost economic development and a critical determinant of the potentials of a country’s investment. The study findings also show that continuous population growth militates against economic growth through inducement of poverty, falling medical care/services and environmental degradation, worsen resource scarcity in areas where a large proportion of the population already relies on natural resource-based livelihoods. The study argued that population increase is not a problem in itself to any nation, and that there are some impeding factors associated with population growth such as corruption, inadequate planning, inappropriate implementation of development plans, poor budget/implementation and complacency in developing human capital. These are issues that the Nigerian state since independence have continued to battle with which has invariably made it a seemingly failed state. The study concludes that how much any country can benefit from its population size is dependent on the quality of human capital. Based on the findings, the study recommends economic diversification, government empowerment of Small and Medium scale Enterprises, paying attention to human capital development and target-oriented education.

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