Population, Technology, and Economic Growth in the Roman World

2020 ◽  
pp. 39-66 ◽  
Author(s):  
Paul Erdkamp
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Capita Income ◽  
Significant Rise ◽  
Living Standards ◽  
Per Capita Income ◽  
Roman Economy ◽  
Roman World ◽  
Per Capita ◽  
Returns To Labour

Archaeological data that show radically increased levels of consumption are combined with economic theory regarding population, technology, and economic growth. The purpose of this exercise is to understand both the scope and constraints of per-capita income, living standards, and consumption in a context of population growth. Malthusian models on economic and demographic developments in preindustrial societies have been fiercely debated by economic historians working on later periods. The fixity of land and the diminishing returns to labour were indeed constraining factors, but the more important factor was the ability of the economy to respond positively to the stimulus of population growth. The role of technological changes should not be overestimated, though. The most important technological progress in the Roman world does not concern new inventions, but the wider implementation of knowledge that had been available for centuries. Investment in human capital and innovation were no obstacles, as they were responses to rather than causes or preconditions of economic growth. An increase in output in the Roman economy can to a large extent be explained by the transfer of underemployed agricultural labour to more intensively utilized urban and rural non-agricultural labour. Against prevailing Malthusian views, it is argued that a significant rise in per-capita income in the Roman world resulted in higher average living standards and different consumption patterns, which in turn significantly changed the conditions not only of manufacturing and trade, but also of investment and innovation.

A Successful Population Policy: Potentials and Constraints (Distinguishedl Lecture)

1993 ◽  
Vol 32 (4I) ◽  
pp. 411-431
Author(s):  
Hans-Rimbert Hemmer
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Population Growth ◽  
Capita Income ◽  
Population Policy ◽  
Mortality Rates ◽  
Per Capita Income ◽  
Access To Health Services ◽  
Industrial Countries ◽  
Per Capita

The current rapid population growth in many developing countries is the result of an historical process in the course of which mortality rates have fallen significantly but birthrates have remained constant or fallen only slightly. Whereas, in industrial countries, the drop in mortality rates, triggered by improvements in nutrition and progress in medicine and hygiene, was a reaction to economic development, which ensured that despite the concomitant growth in population no economic difficulties arose (the gross national product (GNP) grew faster than the population so that per capita income (PCI) continued to rise), the drop in mortality rates to be observed in developing countries over the last 60 years has been the result of exogenous influences: to a large degree the developing countries have imported the advances made in industrial countries in the fields of medicine and hygiene. Thus, the drop in mortality rates has not been the product of economic development; rather, it has occurred in isolation from it, thereby leading to a rise in population unaccompanied by economic growth. Growth in GNP has not kept pace with population growth: as a result, per capita income in many developing countries has stagnated or fallen. Mortality rates in developing countries are still higher than those in industrial countries, but the gap is closing appreciably. Ultimately, this gap is not due to differences in medical or hygienic know-how but to economic bottlenecks (e.g. malnutrition, access to health services)

scholarly journals Decentralization and Its Impact on Growth in India

2021 ◽  
Vol 16 (1) ◽  
pp. 130-151
Author(s):  
Fernanda Andrade de Xavier ◽  
Aparna P. Lolayekar ◽  
Pranab Mukhopadhyay
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Fixed Effects ◽  
Capital Expenditure ◽  
Per Capita Income ◽  
Reverse Causality ◽  
Social Expenditure ◽  
Causality Test ◽  
Per Capita ◽  
National Growth

We study the effect of revenue decentralization (RD) and expenditure decentralization (ED) on sub-national growth in India from 1981–1982 to 2015–2016 for 14 large (non-special-category) states. Our study provides evidence that both RD and ED play a defining role in India’s sub-national growth in this three-and-a-half-decade period. We use a panel data model with fixed effects (FE) and Driscoll and Kraay standard errors that control for heteroscedasticity, autocorrelation and cross-sectional dependence. To test for causality between growth and decentralization, we use the Granger non-causality test. The regression analysis is supplemented with the distribution dynamics approach. We find that: (a) While decentralization Granger-caused economic growth, the reverse causality effect of growth on decentralization was not significant; (b) Economic growth increased significantly after liberalization; (c) Decentralization, capital expenditure and social expenditure had significant positive impacts on economic growth; and (d) States that had high levels of decentralization also had high levels of per capita income, while states that had low decentralization also exhibited low per capita income.

NON-LINEAR EFFECTS OF TERRORISM ON ECONOMIC GROWTH IN PAKISTAN: ACCOUNTING FOR CAPITAL PER WORKER AND STRUCTURAL BREAKS

2019 ◽  
pp. 1950014
Author(s):  
RONALD RAVINESH Kumar ◽  
SYED JAWAD HUSSAIN SHAHZAD ◽  
PETER JOSEF STAUVERMANN ◽  
NIKEEL Kumar
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Structural Breaks ◽  
Per Capita Income ◽  
Negative Effects ◽  
Capital Share ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Per Capita

In this study, we examine the asymmetric effects of terrorism and economic growth in Pakistan over the period 1970–2016, while considering the role of capital per worker and structural breaks. We use the non-linear ARDL approach to establish the long-run association and to estimate the short-run and long-run effects accordingly. The results indicate the presence of asymmetries in both long and short run. Moreover, 1% decrease in terrorism results in an increase of per capita income by 0.02% in the long run and 0.001% in the short run. Assuming symmetry, the long run capital share is 0.47. In asymmetric relation, a 1% increase in capital share increases output by 0.55%, whereas a 1% decrease in capital stock decreases output by 0.26%. The break effects show that the years 1993 and 2004 have negative effects on growth. The vector error correction model-based causality results indicate a unidirectional causality from terrorism to per capita income. Overall, the results highlight that terrorism is growth retarding.

scholarly journals ASSESSING THE IMPACT OF ECONOMIC GROWTH ON INEQUALITY IN INDIA

2020 ◽  
pp. 5-8
Author(s):  
Furqan Ali ◽  
Mohammad Asif
Keyword(s):  
Economic Growth ◽  
Income Distribution ◽  
Capita Income ◽  
Political Stability ◽  
The State ◽  
Per Capita Income ◽  
Short Period ◽  
The World ◽  
Per Capita ◽  
The Impact

The rate of economic growth in India fluctuates with the world economic scenario. The developed countries being economically stable and highly advanced by technology, like U.S.A, France, Germany, Japan, and China faced the problem of economic crises. At the same time, the world comes to fluctuate their efficiency and empowerment to the leadership engagement in stabilizing the economy. In this paper, data taken from the Indian States as per capita income at the state level and compare it with all India average data. The Net State Domestic Product Per Capita Income (NSDPPCI), had taken on a current price for the short period 2011-2012 to 2016-2017. This paper compared the regional variation in state performance and compared the most riches states to inferior ones. The factors which affect economic performance are like stabilize the political stability in the state. We also focus comparison on the different political party announcements of the welfare scheme for the farmers and other poor people living in these states. Another factor like the level of education at states and center level, total population, and its growth rate, the public expenditure on the health sector. We measure income inequality, income distribution with the economic growth of India. KEYWORDS: Economic Growth; Inequality; Income Distribution; Political Stability.

scholarly journals Economic Development

2019 ◽  
Author(s):  
Karima Muthmaina
Keyword(s):  
Economic Development ◽  
Human Resources ◽  
Population Growth ◽  
Human Development ◽  
Capita Income ◽  
Economic Structure ◽  
Per Capita Income ◽  
Total Income ◽  
Development Indicators ◽  
Per Capita

Economic Development is a process of increasing total income and income per capita by contributing to population growth and fundamental changes in the economic structure of a country and income ranking for the population of a country. Indonesia's development should be for the development of Indonesia's human resources, so that the use of per capita income indicators is not only an indicator of the success of Indonesia's development. Regarding the matters in question above, the use of Human Development Indicators (HDI) becomes relevant.

scholarly journals UKURAN PASAR UKURAN PASAR (Market Size) DAN INVESTASI ASING LANGSUNG DI ASEAN

2016 ◽  
Vol 1 (1) ◽  
pp. 26
Author(s):  
Adi Lumadya
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Foreign Investment ◽  
Capita Income ◽  
Random Effect ◽  
Direct Foreign Investment ◽  
Market Size ◽  
Per Capita Income ◽  
Variable Size ◽  
Per Capita

The main objective of this study was to examine the influence of some economic variables that include market size proxied with income per capita, economic growth, and exports to the Foreign Direct Investment in the member countries of ASEAN-9. The analytical tool used is the Least Squares Regression (Ordinary Least Square) and Panel Data. In the Data Panel will look for similarities in effect is Fixed (Fixed Effect) and the effect is Random (Random Effect). The results of the analysis are: Based on the analysis of OLS concluded that the variable size of the market (market size) were proxied with Per Capita Income (GDPP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Fixed Effect Method concluded that the variable size of the market (market size) were represented with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Random Effect method concluded that the variable size of the market (market size) were proxied with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Keywords: Foreign Direct Investment, Fixed Effect, Random Effect

Economic Growth in France and Britain, 1830–1910: A Review of the Evidence

1984 ◽  
Vol 44 (1) ◽  
pp. 49-67 ◽  
Author(s):  
N. F. R. Crafts
Keyword(s):  
Economic Growth ◽  
Nineteenth Century ◽  
Great Britain ◽  
Labor Productivity ◽  
Capita Income ◽  
Per Capita Income ◽  
Unusual Pattern ◽  
Per Capita

Recent revisionist treatments of nineteenth-century French economic growth are examined and reveal that the pattern of economic growth in France was indeed substantially different from the unusual pattern in Great Britain. Labor productivity in French industry was probably lower than in Britain, contrary to the claims of O'Brien and Keyder, and neither growth of per capita income nor the level of income in France in 1910 was remarkable. The article thus supports a position between that of early writers and that of the recent revisionists.

Economic growth and energy consumption nexus in Pakistan

2013 ◽  
Vol 2 (2) ◽  
pp. 251-275 ◽  
Author(s):  
Waqas Ahmed ◽  
Khalid Zaman ◽  
Sadaf Taj ◽  
Rabiah Rustam ◽  
Muhammad Waseem ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Policy Implications ◽  
Per Capita Income ◽  
Content Type ◽  
Per Capita ◽  
The Relationship

PurposeThis study aims to examine the relationship between electricity consumption per capita (ELEC) and real per capita income (Y), as the direction of causation of this relationship remains controversial in the existing literature. It also seeks to explore the relationship between energy consumption per capita (ENC) and real per capita income, over a 34‐year period (between 1975 and 2009).Design/methodology/approachThe study uses Johansen cointegration technique to determine the short‐ and long‐run relationship between the variables. The authors also utilize Granger causality test to determine the causal relationship between the selected variables.FindingsThe study provides evidence of bi‐directional causality between the electricity consumption per capita and real per capita income on one hand; and energy consumption per capita and real per capita income on the other hand as the direction of causality has significant policy implications.Research limitations/implicationsThis study does not include all dimensions of the energy growth, but is limited to the three variables which the authors consider to be critical to economic development, including energy consumption, electricity consumption and economic growth.Originality/valueThe study uses a sophisticated econometric technique with additional tests of forecasting framework to examine the effect of energy demand on economic growth over a period of the next ten years, i.e. 2010‐2019, in the context of Pakistan. The impulse response describes the reaction of the system as a function of independent variable that parameterizes the dynamic behavior of the system.

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