2017
DOI: 10.1016/j.eneco.2017.01.023
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Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis

Abstract: This paper investigates the asymmetric relationship between energy consumption and economic growth by incorporating financial development, capital and labour into a production function covering the Indian economy from 1960Q 1 -2015Q 4 . The nonlinear autoregressive distributed lag bounds testing approach is applied to examine the asymmetric cointegration between the variables. An asymmetric causality test is also employed to examine the causal association between the considered variables. The results indicate … Show more

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Cited by 527 publications
(297 citation statements)
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“…This confirms that capital is positively linked with economic growth. This result is similar to that of Sahoo and Dash (2009) and Shahbaz et al (2017) for the case of the Indian economy. This causal direction can be explained by the fact that policymakers in emerging and upper-middleincome countries ensure that public and private investments are achieved to sustain long-term economic growth and employment.…”
Section: < Insertsupporting
confidence: 77%
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“…This confirms that capital is positively linked with economic growth. This result is similar to that of Sahoo and Dash (2009) and Shahbaz et al (2017) for the case of the Indian economy. This causal direction can be explained by the fact that policymakers in emerging and upper-middleincome countries ensure that public and private investments are achieved to sustain long-term economic growth and employment.…”
Section: < Insertsupporting
confidence: 77%
“…Hence, we prefer the quadratic match-sum method because it transforms the annual data into quarterly data following Denton (1971). methodology, adopted by Shahbaz et al (2017) to transform annual into quarterly data to avoid the common-method variance due to the use of different data transformation methods. capital displays significant excess kurtosis, indicating that it has a fatter distribution than a normal distribution.…”
Section: Estimation Strategy and The Datamentioning
confidence: 99%
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