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Author:

Jafri Muhammad Afaq Haider (Jafri Muhammad Afaq Haider.) | Liu Huizheng (Liu Huizheng.) | Usman Ahmed (Usman Ahmed.) | Khan Qasim Raza (Khan Qasim Raza.)

Indexed by:

SSCI Scopus SCIE PubMed

Abstract:

To understand the nexus between economic growth and energy sources, in this study, we have selected Pakistan and collected data over the period 1980-2016. The neoclassical production function of Pakistan is augmented with conventional and renewable energy, capital, and labor. Conversely, the conventional and renewable models are being constructed by using GDP as an independent variable. This paper applied linear and nonlinear ARDL models to see whether the influence of conventional and renewable energy consumption on GDP per capita of Pakistan is symmetric or asymmetric and vice versa. Furthermore, the asymmetric causal effects between the energy variables and economic growth are also discussed. From the findings of the study, we deduce the long-run asymmetric effects of renewable energy on the economic growth of Pakistan. Similarly, the asymmetric effects of GDP, in the long run, are confirmed in both energy models. The symmetric and asymmetric causality results have recommended growth and conservation hypothesis. The findings propose that renewable energy is a significant factor in boosting the economic growth of Pakistan and a decline in the use of renewable energy could actually stem the economic growth of Pakistan.

Keyword:

NARDL Economic growth Pakistan Conventional energy consumption Renewable energy consumption

Author Community:

  • [ 1 ] [Jafri Muhammad Afaq Haider]College of Economics and Management, Beijing University of Technology, Beijing, China. afaqhaider@bjut.edu.cn
  • [ 2 ] [Liu Huizheng]College of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 3 ] [Usman Ahmed]School of Economics, Government College University Faisalabad, Faisalabad, Pakistan. voice.of.usman.au@gmail.com
  • [ 4 ] [Khan Qasim Raza]Department of Finance, Beijing Technology and Business University, Beijing, China

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Source :

Environmental science and pollution research international

ISSN: 1614-7499

Year: 2021

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 14

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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