Economic growth, energy consumption and CO<sub>2</sub>emissions in India: a disaggregated causal analysis

Nain, Zulquar; Ahmad, Wasim; Kamaiah, Bandi

doi:10.1080/14786451.2015.1109512

Cited by 70 publications

(37 citation statements)

References 69 publications

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“…With reference to carbon emission, the coefficient of energy consumption is positive, suggesting that energy consumption drives carbon emission in the long run. Nain et al (2017)also found a cointegration relationship among carbon emission, economic growth and electricity consumption. Besides, results from Granger causality suggest unidirectional causality running from electricity consumption to economic growth and carbon emission, and from carbon emission to economic growth.…”

Section: Brief Literature Review In India's Contextmentioning

confidence: 93%

“…GDP Series: whereas the study of Nain et al . (), Jayanthakumaran et al . () and Kanjilal and Ghosh (), and the study of Sinha and Shahbaz () have used constant (2000 US$) and current GDP series, respectively, the present study is based on the updated constant GDP series (2010 US$).…”

Section: Gaps In the Literaturementioning

confidence: 98%

“…Unlike Nain et al . (), Inumula () identifies bidirectional causality between electricity consumption and economic growth. Sinha and Shahbaz () found that apart from energy consumption, economic growth and trade, total factor productivity is also one of the fundamental drivers of carbon emission and exerts a negative impact on carbon emission.…”

Section: Brief Literature Review In India's Contextmentioning

confidence: 99%

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Validating the environmental Kuznets curve in India: ARDL bounds testing framework

Alam

Adil

2019

OPEC Energy Review

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This study empirically examines the cointegrating relationship among variables, viz. carbon emission, economic growth, square of economic growth, primary energy supply, financial development and trade openness in India, with a view to validate the Environmental Kuznets Curve (EKC) hypothesis. The results based on ARDL bounds testing approach to cointegration find no credence to EKC hypothesis, for the period 1971–2016. This indicates that the relationships between carbon emission and economic growth are not significant, and therefore, the EKC hypothesis does not hold in the case of India. Furthermore, the study establishes a significant positive relationship between energy supply and carbon emission. A proportionate increase in energy supply causes more than proportionate increase in carbon emission. In order to cope up with the positive impact of energy on carbon emission, the study suggests that the country needs to expedite the process of enhancing the capacity of renewable and clean energy generation.

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Section: Brief Literature Review In India's Contextmentioning

confidence: 93%

Section: Gaps In the Literaturementioning

confidence: 98%

Section: Brief Literature Review In India's Contextmentioning

confidence: 99%

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Validating the environmental Kuznets curve in India: ARDL bounds testing framework

Alam

Adil

2019

OPEC Energy Review

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“…It is also recognized that carbon emission and emission of other greenhouse gases are one of the chief reasons for the atmospheric pollution. Energy consumption as a reason for a rising carbon emission have been validated in various countries (Ang, ; Nain, Ahmad, & Kamaiah, ; Shahbaz et al, ; Shahbaz et al, ; X. P. Zhang & Cheng, ). Then we come across a financial development that makes the availability of credits much more accessible, which makes financial capital more accessible to business firms and household.…”

Section: Literature Reviewmentioning

confidence: 99%

An Indian story on carbon emission, energy consumption, trade openness, and financial development

Menon

2019

Journal of Public Affairs

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This paper empirically studies the impact of energy consumption, financial development, and trade openness on India's carbon emission for 1971 to 2014 and validates the environmental Kuznets curve hypothesis for India. The Autoregressive Distributed‐lagged model (ARDL) bound test is used to test the existence of cointegration among the key variables. The results exhibit a U‐shaped relationship between carbon emission and energy consumption in the long run. Through this study, we find out the maximum threshold value of energy consumption per capita to 757 kg of oil equivalent, which is above the current consumptions levels—indicating a rise in carbon emission shortly. Further, the long‐run results show that a 1% increase in trade openness will decrease carbon emission by 0.11%, which is a display of technological effect over scale effect and composition effect. Financial development does not exhibit a significant relation to carbon emission. The results are in line with the literature on climate change in emerging countries. This empirical work gives some insight into policy issues that have to be looked into further.

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“…They confirmed the findings of Govindaraju and Tang (2013) and validated the EKC hypothesis. Nain et al (2015) explored the linkages among carbon emissions, energy consumption and economic growth at the aggregated and sectorial levels; causality results show that CO 2 emission is driving force behind energy consumption and economic growth at sectoral level. In line with these studies, we have added CO 2 emission as an endogenous variable in a multivariate framework.…”

Section: Literature Reviewmentioning

confidence: 99%

Does energy efficiency enhance total factor productivity in case of India?

Haider

Ganaie

2017

OPEC Energy Review

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The aim of this study is to explore the dynamic linkage between energy efficiency and total factor productivity (TFP) using carbon emission and trade openness as control variables for the period of 1971–2013. For this purpose, vector error correction mechanism (VECM) is employed to determine the direction of causality. A popular and simple measure of energy efficiency, GDP per unit of energy use and trade as a percentage of GDP are used for the proxy of trade openness. The result shows negative impact of energy efficiency on TFP, in other way energy intensity has a positive impact on the growth of TFP. Hence, the negative sign indicates a trade‐off between energy efficiency and TFP. There is a unidirectional causality running from energy efficiency to TFP. Whenever energy intensity increases, the TFP level increases as well. So, in the long run, a higher TFP implies higher energy consumption. Further, TFP and carbon emission Granger cause trade openness, and there is unidirectional causality from TFP to CO2 emission.

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Economic growth, energy consumption and CO₂emissions in India: a disaggregated causal analysis

Cited by 70 publications

References 69 publications

Validating the environmental Kuznets curve in India: ARDL bounds testing framework

Validating the environmental Kuznets curve in India: ARDL bounds testing framework

An Indian story on carbon emission, energy consumption, trade openness, and financial development

Does energy efficiency enhance total factor productivity in case of India?

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Economic growth, energy consumption and CO2emissions in India: a disaggregated causal analysis

Cited by 70 publications

References 69 publications

Validating the environmental Kuznets curve in India: ARDL bounds testing framework

Validating the environmental Kuznets curve in India: ARDL bounds testing framework

An Indian story on carbon emission, energy consumption, trade openness, and financial development

Does energy efficiency enhance total factor productivity in case of India?

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Product

Resources

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Economic growth, energy consumption and CO₂emissions in India: a disaggregated causal analysis