Clean energy consumption and economic growth nexus: asymmetric time and frequency domain causality testing in China

Saliminezhad, Andisheh; Bahramian, Pejman

doi:10.1080/15567249.2020.1729900

Cited by 23 publications

(6 citation statements)

References 48 publications

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“…According to the research results, it is found that clean energy and carbon emissions are positively correlated with growth. Saliminezhad and Bahramian (2020) found that using the Standard sympatric framework covering the data range from 1965 to 2017, China's economic growth, clean energy consumption and carbon dioxide emissions have a long-term interdependence. This study further explored the adverse effects of clean energy on carbon dioxide emissions and the stimulus effect of clean energy on economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

An analysis of the impact of clean and non-clean energy consumption on economic growth and carbon emission: evidence from PIMC countries

Ali

Radulescu

Balsalobre‐Lorente

et al. 2022

Environ Sci Pollut Res

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This study empirically estimates the impact of clean and non-clean energy consumption on economic growth and carbon dioxide emissions within the framework of the environmental Kuznets curve and pollution haven hypothesis in the case of PIMC countries from 1980 to 2019. The results of the panel cointegration test proposed by Westerlund (2007) show a longterm equilibrium relationship among the variables of each designated model. The long-term elasticities of economic growth and carbon emission estimated by AMG, CCEMG and MG estimators indicate that both clean and non-clean energy consumption have a significant impact on economic growth, while carbon emission hinders growth. The results also reveal that economic growth, non-clean energy consumption and interaction between trade openness and non-clean energy consumption have a driving effect on carbon dioxide emission, however, clean energy consumption is found to reduce carbon emission. In addition, the analysis confirms the existence of the inverted U-shaped environmental Kuznets curve and pollution haven hypothesis in the panel of PIMC economies. Finally, there is a one-way causality from non-clean energy consumption to economic growth, but no such causation exists between clean energy consumption and economic growth. The objective of sustained economic growth with a safe environment may be achieved by encouraging clean energy consumption in the PIMC economies.

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Section: Literature Reviewmentioning

confidence: 99%

An analysis of the impact of clean and non-clean energy consumption on economic growth and carbon emission: evidence from PIMC countries

Ali

Radulescu

Balsalobre‐Lorente

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…This technique minimizes discrepancies in measurement, simultaneity, reverse causality, endogeneity, unobserved individual heterogeneity, and heteroscedasticity. [30,34,35] came up with the system-GMM technique by developing the first difference estimator suggested by Arellano and Bover [36]. System-GMM is more efficient than other estimating methods, so it has been used in this study [32,37].…”

Section: Data Analysis Methodsmentioning

confidence: 99%

Taxes, R&D Expenditures, and Open Innovation: Analyzing OECD Countries

Balsalobre‐Lorente

Zeraibi

Shehzad

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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This paper aims to measure the effect of tax contributions in promoting innovation while highlighting the role of corporate taxes in governance quality in nations within and outside the Organization for Economic Co-operation and Development (OECD). The study applied the generalized method of moments (GMM) framework and found that good governance invariably increases the Innovation Index. Moreover, research and development expenditures revealed a positive association with the Innovation Index. However, corporate taxes and taxes paid by the business sector harm the Innovation Index. Following the investigation, we recommended that policymakers should plan well to balance the costs of innovation and tax incentives, to avoid stimulating unproductive innovations or affecting operating budgets.

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“…In this paper, we combine the time‐domain asymmetric Granger causality framework of Hatemi‐J (2012) with the frequency‐domain Granger causality framework of Breitung and Candelon (2006) (see Ranjbar et al., 2017; Saliminezhad & Bahramian, 2020 for a similar combination).…”

Section: Methodsmentioning

confidence: 99%

Is autonomous demand really autonomous in the United States? An asymmetric frequency‐domain Granger causality approach

Pérez-Montiel

Manera

2021

Metroeconomica

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We test whether the growth rate of autonomous demand determines the growth rate of output in the United States. We apply asymmetric frequency‐domain Granger causality tests. We find that negative and positive shocks in the growth rate of autonomous demand unidirectionally Granger‐cause negative and positive shocks in the growth rate of output, respectively. These results apply in the short and in the long run. Our results are important because, unlike the existing empirical literature on autonomous demand‐led growth, they validate the autonomy of autonomous demand in the short and in the long run; which is key for the consistency of the supermultiplier model.

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Clean energy consumption and economic growth nexus: asymmetric time and frequency domain causality testing in China

Cited by 23 publications

References 48 publications

An analysis of the impact of clean and non-clean energy consumption on economic growth and carbon emission: evidence from PIMC countries

An analysis of the impact of clean and non-clean energy consumption on economic growth and carbon emission: evidence from PIMC countries

Taxes, R&D Expenditures, and Open Innovation: Analyzing OECD Countries

Is autonomous demand really autonomous in the United States? An asymmetric frequency‐domain Granger causality approach

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