Human Capital, Slavery and Low Rates of Economic and Population Growth in Indonesia, 1600–1910

2004 ◽  
pp. 114-126
Keyword(s):  
Human Capital ◽  
Population Growth

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.

scholarly journals PROBABILITAS ANGKATAN KERJA TERDIDIK YANG TIDAK TERSERAP PADA PASAR KERJA

2020 ◽  
Vol 5 (2) ◽  
pp. 193-203
Author(s):  
Muhit Hidayah ◽  
◽  
Joko Triyanto ◽  
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Population Growth ◽  
Marital Status ◽  
Demographic Transition ◽  
Economic Factors ◽  
Demand Side ◽  
Long Run ◽  
Household Members

The existence of a demographic transition that in the long run has an impact on the population explosion in the productive age and even the population trend shows a growing pattern of population growth in the productive age. It is feared that the number of people of productive age who are not absorbed in employment will eventually become unemployed. Unemployment of productive age will have an impact on the amount of educated unemployment. This study will analyze the demographic, human capital and economic factors behind educated unemployment in Sragen Regency in 2019, from the supply dan demand side. The data used is the raw data of the results of the National Labor Force Survey (SAKERNAS) in Agustus 2019 from the Statistics of Sragen Regency (BPS) with a sample of 602 respondents. The method used is logistic regression analysis. The results showed that the variables age, number of household members, gender, relationship with the head of the household, marital status, Diploma I / II, Diploma III, Diploma IV / S1 and S2 affect the probability of the educated workforce to be unemployed. Meanwhile, the domicile variable does not significantly affect the probability of the educated workforce being unemployed.

The Dynamics of Technical Progress in Some Developing and Developed Countries

2016 ◽  
pp. 172-194
Author(s):  
Weshah A. Razzak ◽  
Belkacem Laabas ◽  
El Mostafa Bentour
Keyword(s):  
Developing Countries ◽  
Human Capital ◽  
Population Growth ◽  
Technical Progress ◽  
Capital Intensity ◽  
Developed Countries ◽  
World Population ◽  
Long Run ◽  
Endogenous Growth Model ◽  
New Ideas

We calibrate a semi-endogenous growth model to study the transitional dynamic and the properties of balanced growth paths of technological progress. In the model, long-run growth arises from global discoveries of new ideas, which depend on population growth. The transitional dynamic consists of the growth rates of capital intensity, labor, educational attainment (human capital), and research and ideas in excess of world population growth. Most of the growth in technical progress in a large number of developed and developing countries is accounted for by transitional dynamics.

Human capital divergence and the size distribution of cities: Is Gibrat’s law obsolete?

Urban Studies ◽  
2020 ◽  
pp. 004209802095309
Author(s):  
Daniel Broxterman ◽  
Anthony Yezer
Keyword(s):  
Human Capital ◽  
Population Growth ◽  
Size Distribution ◽  
Growth Models ◽  
Theoretical Models ◽  
Empirical Literature ◽  
Skilled Workers ◽  
Gibrat’S Law ◽  
Gibrat's Law ◽  
Growth Hypothesis

This article studies how the changing geographic distribution of skilled workers in the US affects theoretical models that use Gibrat’s law to explain the size distribution of cities. In the empirical literature, a divergence hypothesis holds that college share increases faster in cities where college share is larger, and a growth hypothesis maintains that the rate of city population growth is also directly related to initial college share. Examining the divergence hypothesis, the classic test for Gibrat’s law is shown to be a test for [Formula: see text]-convergence. Testing shows that there has been absolute, not relative, divergence in human capital since the 1970s. However, the combination of even absolute divergence and the growth hypothesis is shown to violate the condition that a city’s population growth is independent of its size. Additional testing finds that the relation between college share and city growth is concave rather than monotonic. These results imply that stochastic growth models can survive the challenge posed by divergence in the distribution of human capital.

scholarly journals Population and Economic Growth Under Different Growth Engines

2017 ◽  
Vol 18 (2) ◽  
pp. 182-211 ◽  
Author(s):  
Alberto Bucci ◽  
Xavier Raurich
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Human Capital ◽  
Population Growth ◽  
Capital Accumulation ◽  
Capital Investment ◽  
Human Capital Investment ◽  
Physical Capital ◽  
Long Run

Abstract Using a growth model with physical capital accumulation, human capital investment and horizontal R&D activity, this paper proposes an alternative channel through which an increase in the population growth rate may yield a non-uniform (i.e., a positive, negative, or neutral) impact on the long-run growth rate of per-capita GDP, as available empirical evidence seems mostly to suggest. The proposed mechanism relies on the nature of the process of economic growth (whether it is fully or semi-endogenous), and the peculiar engine(s) driving economic growth (human capital investment, R&D activity, or both). The model also explains why in the long term the association between population growth and productivity growth may ultimately be negative when R&D is an engine of economic growth.

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