Enhancing low-carbon economic growth by renewable energy uptake in countries with per capita gross domestic product between 10 and 20 kUSD

2018 ◽  
Vol 14 (2/3) ◽  
pp. 292
Author(s):  
Wojciech M. Budzianowski
2021 ◽  
pp. 139156142110390
Author(s):  
Fahmida Khatun ◽  
Syed Yusuf Saadat

Inequality in the distribution of income can be beneficial or detrimental for economic growth depending on the level of inequality. This study advocates that when income inequality is low, increase in income inequality increases economic growth, whereas when income inequality is high, increase in income inequality decreases economic growth. The level of inequality that maximizes economic growth is defined as the optimum level of income inequality. This article attempts to determine the optimum level of income inequality for South Asia through an econometric analysis. It uses panel data from Bangladesh, India, Nepal, Pakistan and Sri Lanka, over a 34-year period to undertake a systematic investigation using panel instrumental variables techniques. The results of this study confirm that an optimum level of income inequality does exist, and occurs at a Gini coefficient value of 0.4492. Thus, this research empirically confirms that the relationship between income inequality and economic growth is non-linear. Further calculations show that for an economy that is at the optimum level of income inequality, the per capita gross domestic product can be expected to double within approximately 13 years, provided all other factors are held constant. However, a change in the Gini coefficient by 0.10 units in either direction—higher or lower—away from the optimum level, can increase the number of years for the per capita gross domestic product to double by 55 to 57 years, depending on the method of approximation. JEL: D31, D63, O15, O40


2021 ◽  
Vol 2 (4) ◽  
pp. 5776-5786
Author(s):  
Majd Allam ◽  
Raymond Bou Nader

The purpose of this study is to investigate the relationship between renewable energy and economic growth which is determined by the gross domestic product per capita regarding some of the Mediterranean countries. This study uses data from some Mediterranean countries with medium to high energy consumption levels in 1990–2015 (France, Italy, and Turkey) to ascertain and analyze the multiple effects of renewable energy consumption on economic process. The applied math analysis relies on descriptive statistics, cluster analysis, and divulges that all the variables area unit are related; this means, on the long term, a correlation between the dependent variable quantity of gross domestic product and the independents variables of renewable energy consumption and energy consumption. Moreover, the results show that there's a better correlation between RES’ consumption and the economic growth of some countries that has an upper gross domestic product than with those of lower GDP. The obtained results area unit is consistent with different papers reviewed during this study. Analysis results show the long run linear impact of energy consumption on economic process.   El objetivo de este estudio es investigar la relación entre las energías renovables y el crecimiento económico, que viene determinado por el producto interior bruto per cápita, en relación con algunos de los países mediterráneos. Este estudio utiliza datos de algunos países mediterráneos con niveles de consumo de energía medios y altos en 1990-2015 (Francia, Italia y Turquía) para conocer y analizar los múltiples efectos del consumo de energías renovables en el proceso económico. El análisis matemático aplicado se basa en la estadística descriptiva y el análisis de conglomerados, y divulga que todas las variables están relacionadas; esto significa que, a largo plazo, existe una correlación entre la variable dependiente cantidad de producto interior bruto y las variables independientes consumo de energía renovable y consumo de energía. Además, los resultados muestran que hay una mejor correlación entre el consumo de FER y el crecimiento económico de algunos países que tienen un producto interior bruto superior que con los de menor PIB. Los resultados obtenidos son coherentes con diferentes trabajos revisados durante este estudio. Los resultados del análisis muestran el impacto lineal a largo plazo del consumo de energía en el proceso económico.


2015 ◽  
Vol 3 (3) ◽  
pp. 609-618 ◽  
Author(s):  
Yusaku Horiuchi ◽  
Asher Mayerson

What would Israel’s economy have looked like without the 2000 Palestinian Intifada? This article examines this counterfactual question by statistically comparing the economic growth trajectories of Israel and a “synthetic” Israel, which is constructed by applying a method proposed by Abadie and Gardeazabal (2003) and Abadie, Diamond and Hainmueller (2010, 2014). The results of the analysis suggest that Israel’s per capita gross domestic product during the Second Intifada was reduced by an average of about $2,003 per year (in 2005 US dollars). This amounts to about 8.6 percent of the 2000 baseline level. In the case of the Second Intifada, the opportunity cost of conflict was indeed substantial and significant.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rajesh Vedanthan ◽  
Mondira Ray ◽  
Valentin Fuster ◽  
Ellen Magenheim

Introduction: Hypertension is the leading global risk for mortality and its prevalence is increasing in many low- and middle-income countries. Hypertension treatment rates are low worldwide, potentially in part due to insufficient human resources. However, the relationship between health worker density and hypertension treatment rates is unknown. Objective: To conduct an econometric analysis of the relationship between health worker density and hypertension treatment rates worldwide. Methods: Hypertension treatment rates were collected from published reports between 1980 and 2010. Data on health worker (physician and nurse) density were obtained from the World Health Organization (WHO). Data for potential confounding variables--per capita gross domestic product, hospital bed density, burden of infectious diseases, land area and urban population--were obtained from WHO and World Bank databases. Potential interaction by per capita gross domestic product was evaluated. Multivariable logistic-logarithmic regression analysis was performed using Stata. Results: Full data were available from 146 countries spanning all World Bank income classification categories. Health worker density was significantly associated with hypertension treatment rate in the unadjusted model (beta = 0.23; p < 0.005). In the fully adjusted model, the association remained positive but was not statistically significant (beta = 0.30; p = 0.078) (Figure). Hypertension treatment rates were more strongly related to physician than nurse density (beta = 0.21 vs 0.08; p = 0.10 vs 0.49). Conclusion: Hypertension treatment rates across the world appear to be related to health worker density, although the relationship does not achieve strict statistical significance. Our results suggest that a 10% increase in health worker density is associated with a 2-3% increase in hypertension treatment rate. Given the global burden of hypertension and other chronic diseases, WHO guidelines for health workforce staffing may need to be reconsidered.


2003 ◽  
Vol 92 (2) ◽  
pp. 426-426 ◽  
Author(s):  
David Lester

Individualism ratings for 27 nations were not associated with suicide or homicide rates after controls for per capita gross domestic product.


Author(s):  
Piotr Koryś ◽  
Maciej Tymiński

Abstract This paper presents the estimates of the gross domestic product (GDP) of the Congress Kingdom of Poland for the period 1870–1912. The authors used bottom-up methodology and calculated sectoral added values using historical economic, social, and demographic data. The presented results offer first ever insight into the structure of sectoral added values in the Congress Kingdom of Poland during the period of first globalization and first reliable estimates of GDP of the Congress Kingdom of Poland. All results are presented in Geary–Khamis dollars PPP1990 and are compatible with Maddison dataset.


Sign in / Sign up

Export Citation Format

Share Document