Nuclear energy, renewable energy and economic growth in Pakistan: Evidence from non-linear autoregressive distributed lag model
Najid Ahmad and
Khuda Bakhsh ()
Renewable Energy, 2019, vol. 139, issue C, 1299-1309
This paper investigates asymmetric effects of renewable and nuclear energy on economic growth by extending production function along with labor and capital for Pakistan’s economy. Paper utilises non-linear autoregressive distributed lag model with the yearly data of 1990–2016 to extract reliable facts. Results reveal the presence of asymmetric co-integration among variables. Results offer evidence of positive and negative shocks to renewable and nuclear energy variables will have positive impact on economic growth. Further, capital formation contributes positive to economic growth. Addition to this, two more conventional models have been constructed to investigate asymmetric impacts of economic growth, oil prices, oil consumption and CO2 emissions on nuclear and renewable energy consumption. Results reveal that oil consumption leads to a negative impact on renewable energy consumption while it is neutral for nuclear energy consumption. Oil price was having neutral impact on renewable and nuclear energy consumption. Policy suggestions are given based on empirical results.
Keywords: Nuclear energy; Renewable energy; Economic growth; Pakistan (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:139:y:2019:i:c:p:1299-1309
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Haili He ().