Energy Consumption and Economic Growth: The Evidence From India

Sultan, Zafar Ahmad; Alkhateeb, Tarek Tawfik Yousef

doi:10.32479/ijeep.8030

Cited by 23 publications

(16 citation statements)

References 31 publications

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“…Energy price and investment are the other important determinants of energy consumption and income, respectively. Furthermore, the results of research from Sultan and Alkhateeb (2019) revealed that in the short term there is a direct relationship between energy consumption and economic growth, and in the long run found a two-way relationship between energy and economic prosperity in India.…”

Section: Literature Reviewmentioning

confidence: 99%

Does Energy Infrastructure Reduce Inequality Inter-Regional in Riau Province, Indonesia?

Hidayat

Darwin

Hadi

2020

IJEEP

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This research aims to determine the effect of energy infrastructure on the dynamics of development inequality that occurs between regions in Riau Province by adding economic growth and balanced funds as control variables. The analysis used dynamic panel data modeling with Generalized Method of Moment (GMM) approach and datasets from 12 regions in 7 years starting from 2011 to 2017. The results of the model show that the inequality of the previous period and economic growth can significantly increase inequality. Whereas balance funds and electricity infrastructure have a negative and significant influence, or can reduce inequality significantly. These results provide evidence that energy infrastructure can reduce inequality.

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Section: Literature Reviewmentioning

confidence: 99%

Does Energy Infrastructure Reduce Inequality Inter-Regional in Riau Province, Indonesia?

Hidayat

Darwin

Hadi

2020

IJEEP

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“…This study shows that the main burden of the [11,12,13]. Also there is a positive relation between energy consumption and carbon dioxide emissions [7]. Therefore, the development of manufacturing increases carbon dioxide emissions.…”

Section: Discussionmentioning

confidence: 73%

“…In order to enhance sustainability and development, it is necessary to reduce the carbon intensity of human well-being (CIWB). Technology spillovers can increase CIWB; while economic development has positive effect on CIWB, invasive technology and industry has negative effect on CIWB [7]. Therefore it is necessary to balance ecological and environmental concerns with human well-being and economic development, which is the pathway to sustainable development [8].…”

Section: Introductionmentioning

confidence: 99%

Using Human Development Indices to Identify Indicators to Monitor the Corona Virus Pandemic

Abul-Fadl

Sarhan

2020

JVAT

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Introduction The Corona virus (CoVID-19) pandemic has hit the most developed countries and has thence spread to inflict other countries around the world. It is the first pandemic that appears in countries not linked to poverty and poor hygiene. Aim To study the relationship between human development and the pattern of the pandemic caused by the CoVID-19 and to identify development indicators that can be useful in monitoring the pandemic. Methods Data collected included confirmed cases of CoVID-19 by country, number of cases that recovered and cases that died and population density per million in this particular country. The data for this information was obtained from the online data on the daily reports on CoVID-19 from the different countries. Data for the Human Development index (HDI) and the ranking for each country were obtained from the most recent United Nations Development of Populations (UNDP) report for 2019. We analyzed data for 166 countries for which the HDI was available for the date of cases reported online on 27th March, 2020 at midnight. Findings There were significant differences by ANOVA for the confirmed cases of CoVID19 cases and total cases per one million population between the countries in the 4 tier group of Human Development. HDI was significantly correlated with confirmed cases, case density and cases that died from CoVID-19 (P<0.01) for all countries but the significance decreased by tier group. Country ranking was inversely correlated with confirmed cases of CoVID-19 (r-0.25 at P=0.001), CoVID-19 cases per million (r-0.4 at P=0.000) and cases that died from CoVID-19 (r-0.2 at P=0.03). Recovery was not inked to HDI or country ranking. The upper HDI tier groups (very high, high and medium) showed significant correlations with total cases per one million population P<0.05, but no correlation was found with confirmed cases or cases that died or recovered from CoVID-19 P>0.05. Conclusions Total cases of CoVID-19 per one million population seems to be a better indicator of the pandemic. The pattern of spread is closely linked to industry.

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“…Many studies have also scrutinized the causal effects between energy consumption and economic growth (e.g. Ghosh, 2002;Bartleet and Gounder, 2010;Dagher and Yacoubian, 2012;Shahbaz and Feridun, 2012;Pao and Fu, 2013;Pao et al, 2014;Shahbaz et al, 2015;Alper and Oguz, 2016;Tang et al, 2016;Zakaria and Shamsuddin, 2016;Kahia et al, 2017;Rafindadi and Ozturk, 2017;Sultan and Alkhateeb, 2019), which can be categorized into four hypotheses, each of which has an essential implication for energy policy (Al-Mulali et al, 2013). These hypotheses are identified as growth, conservation, feedback and neutral hypotheses; where these hypotheses are essential to be studied to reach a relevant theoretical, empirical and policy implications (Odhiambo, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

Renewable Energy Supply and Economic Growth in Malaysia: An Application of Bounds Testing and Causality Analysis

Sulub

Hamid

Nazri

2020

IJEEP

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Empirical researches on the nexus between renewable energy supply and economic growth have been neglected. To address this gap, this study aims to examine the relationship between hydropower energy supply (HES) and economic growth within a multivariate model for the 1978-2017 period. This study utilized the auto regressive distributive lag (ARDL) bounds approach to testing for cointegration relationship; and the Granger causality test, based on the vector error correction model (VECM) to test for causality. The bounds F-test for cointegration shows that HES, electricity consumption, capital formation and GDP growth share a long-run relationship. Results show that HES has a significant positive impact on economic growth in the short-run. The causality tests yield evidence of unidirectional long-run and short-run causality running from economic growth to HES, suggesting that economic growth is necessary for providing the essential resources for fostering the HES. The existence of cointegration among HES and GDP growth infers that HES will not drift too far away from economic growth in the long-run. Thus, the government needs to ensure a sufficient supply of hydropower energy in the short-run and the long-run.

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Energy Consumption and Economic Growth: The Evidence From India

Cited by 23 publications

References 31 publications

Does Energy Infrastructure Reduce Inequality Inter-Regional in Riau Province, Indonesia?

Does Energy Infrastructure Reduce Inequality Inter-Regional in Riau Province, Indonesia?

Using Human Development Indices to Identify Indicators to Monitor the Corona Virus Pandemic

Renewable Energy Supply and Economic Growth in Malaysia: An Application of Bounds Testing and Causality Analysis

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