Population Growth and Economic Growth: Long‐Run Evidence from Latin America

2001 ◽  
Vol 68 (2) ◽  
pp. 464-468
Author(s):  
John Thornton
Keyword(s):  
Economic Growth ◽  
Latin America ◽  
Population Growth ◽  
Long Run

A NOTE ON THE IMPLICATIONS OF AUTOMATION FOR ECONOMIC GROWTH AND THE LABOR SHARE

2017 ◽  
Vol 23 (3) ◽  
pp. 1294-1301 ◽  
Author(s):  
Klaus Prettner
Keyword(s):  
United States ◽  
Economic Growth ◽  
Growth Rate ◽  
Population Growth ◽  
Capital Accumulation ◽  
Technological Progress ◽  
The United States ◽  
Economic Growth Rate ◽  
Labor Share ◽  
Long Run

We introduce automation into a standard model of capital accumulation and show that (i) there is the possibility of perpetual growth, even in the absence of technological progress; (ii) the long-run economic growth rate declines with population growth, which is consistent with the available empirical evidence; (iii) there is a unique share of savings diverted to automation that maximizes long-run growth; and (iv) automation explains around 14% of the observed decline of the labor share over the last decades in the United States.

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.

scholarly journals ANALISIS KETIMPANGAN PEMBANGUNAN DAN PERTUMBUHAN EKONOMI ANTAR WILAYAH KABUPATEN/KOTA DI PROVINSI SULAWESI UTARA

2020 ◽  
Vol 16 (3) ◽  
pp. 369
Author(s):  
Gracetyani Ovicha Naibaho ◽  
Juliana Ruth Mandei ◽  
Lyndon Reinhard Jacob Pangemanan
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Regional Economy ◽  
Secondary Data ◽  
Index Number ◽  
The North ◽  
North Sulawesi ◽  
Long Run ◽  
Depressed Regions

This study aims to analyze the level of development inequality and economic growth between districts / cities in North Sulawesi Province in 2014-2018. This research was conducted from November 2019 to March 2020. The data used in this study are secondary data. The data were obtained from the North Sulawesi Central Statistics Agency (BPS Sulut) and other literatures according to this study. The results showed that the higher income between regions would affect economic growth and inequality that occurred in North Sulawesi Province. Based on the results of the development inequality analysis, it shows low inequality with an average Williamson Index number of 0.49 (<0.5). Classification of districts / cities in North Sulawesi Province using a regional approach. Typology Klassen is divided into four classifications. Regions are developed and growing fast, regions are developed but are depressed, regions are developing fast but are not developed, and regions are relatively underdeveloped. Based on these results, this study concludes that along with the occurrence of economic growth there will also be population growth. Thus, the rate of economic growth must exceed the rate of population growth. If in the long run the economic growth equals population growth, the regional economy will not experience development and the population's level of prosperity will not progress.

scholarly journals An ARDL Approach to Check the Linkage Between Economic Growth, Electricity Access, Energy Use and Population Growth in Pakistan: Long-run and Short-run Analysis

2018 ◽  
Author(s):  
Abdul Rehman ◽  
Zhang Deyuan
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Urban Population ◽  
Energy Use ◽  
Bounds Testing ◽  
Long Run ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Electricity Access ◽  
Ardl Bounds Testing Approach

The major aim of this study was to investigate and explores the linkage between economic growth, electricity access, energy use and population growth in Pakistan. To check the variables stationarity, Augmented Dickey-Fuller (ADF) and Phillips-Perron unit root test was applied and an Autoregressive Distributed Lag (ARDL) bounds testing approach to co-integration was applied to investigate the dynamic causality link among the study variables. These tests shed light on the long-run connection among the variables; further, the results revealed that electricity access to population, electricity access to urban population, energy usage, population growth, and urban population growth had a significant impact on economic growth, while the electricity access to rural population and rural population growth has a negative impact on the economic growth in Pakistan. According to these findings, study commends that government of Pakistan pay further attention to increase its electricity production from different sources including, hydroelectric, solar, oil and gas and nuclear in order to fulfill the country’s demands. By using ARDL bounds testing approach, this study filled the literature gap regarding economic growth, electricity access, energy use and population growth in Pakistan.

DAMPAK JANGKA PANJANG PERTUMBUHAN PENDUDUK TERHADAP INVESTASI AGREGAT PROVINSI DI INDONESIA

2019 ◽  
Vol 4 (1) ◽  
pp. 193-204
Author(s):  
Paulina Paulina
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Secondary Data ◽  
Good Investment ◽  
Long Run ◽  
Cointegration Tests ◽  
Investment Rates ◽  
Growth Formation ◽  
Analysis Models

This study aims to determine the causality relationship between population growth of a country / region (PG)  which has an impact on the formation of investment (TINV) and economic growth (EG). This research was focused on 33 provinces in Indonesia on these 3 main variables. The data used are secondary data from 33 provinces, with observations between 2015-2017. The analysis models used are unit root and cointegration tests, VAR estimation and long-term VECM models, and panel data. The results of this study indicate: (1) there is no causal relationship between PG, TINV, and EG; (2) The cointegration test and the VAR model shows that there is a long-term relationship between endogenous and exogenous variables; (3) In the VECM model, there appears to be an influence between PG, EG on investment in the long run; (4) there are quite good investment provinces namely DKI Jakarta, and most of the eastern provinces of Indonesia experience positive investment rates. Keywords: population growth, formation of investmen, economic growth

scholarly journals VARIETY, COMPETITION, AND POPULATION IN ECONOMIC GROWTH: THEORY AND EMPIRICS

2019 ◽  
pp. 1-28
Author(s):  
Alberto Bucci ◽  
Lorenzo Carbonari ◽  
Giovanni Trovato
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Population Growth ◽  
Population Growth Rate ◽  
Population Change ◽  
Finite Mixture Model ◽  
Growth Theory ◽  
Long Run ◽  
Gdp Growth Rate ◽  
The Impact

We provide aggregate macroeconomic evidence on how, in the long run, a diverse degree of complexity in production may affect not only the rate of economic growth, but also the correlation between the latter, population growth and the monopolistic (intermediate) markups. For a sample of Organisation for Economic Co-operation and Development (OECD) countries, we find that the impact of population change on economic growth is slightly positive. According to our theoretical model, this implies that the losses due to more complexity in production are lower than the corresponding specialization gains. Using a finite mixture model, we also classify the countries in the sample and verify for each cluster the impact that the population growth rate and the intermediate sector’s markups exert on the 5-year average real gross domestic product (GDP) growth rate.

scholarly journals Determinants of Economic Growth: An Empirical Evaluation of the Ugandan Economy

2021 ◽  
Author(s):  
Richard Sendi ◽  
John Bbale Mayanja ◽  
Enock Nyorekwa
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Population Growth ◽  
Foreign Aid ◽  
Trade Openness ◽  
Gdp Growth ◽  
Government Consumption ◽  
Long Run ◽  
Short Run ◽  
Determinants Of Economic Growth

This paper investigated the determinants of economic growth in Uganda for the period 1982–2015 using the autoregressive distributed lag (ARDL) mode. The paper was motivated by the impressive economic performance of Uganda since 1986 that made her graduate from a “failed state” to a “mature reformer” in a short time. The paper established that while the initial level of GDP growth, government consumption and investment positively affected Uganda’s economic growth in the short run, inflation, foreign aid and a policy dummy variable representing structural adjustment programmes negatively impacted GDP growth. The results revealed that in the long run, trade openness, population growth, government consumption and investment positively influenced GDP growth in Uganda. The results failed to show a significant relationship between trade openness, population growth and human capital accumulation and economic growth in the short run. The study also failed to show a significant relationship between inflation, human capital and foreign aid and economic growth in the long run. The paper recommends policies that enhances sound macroeconomic fundamentals such as price stability, investment promotion, trade openness, increased government consumption, increased population growth and effective foreign aid.

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