The troika of energy consumption, economic growth, and CO emission: Quantile regression evidences for five Asian economies.
This study examined the quadratic role of renewable energy and economic growth on environment quality in Asia's five most populous countries: China, India, Indonesia, Pakistan, and Bangladesh. Previous literature has scarcely addressed these economies and ignores the quadratic role of GDP per capita...
| Published in: | Geographical Journal Vol. 190; no. 3; pp. 1 - 16 |
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| Main Authors: | , , , , |
| Format: | Article |
| Published: |
Wiley-Blackwell
Sep2024
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=179238651&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 179238651 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00167398 GEO jtl: Geographical Journal issn: 00167398 maglogo: Y pubinfo: dt: Sep2024 vid: 190 iid: 3 pid: 480 pub: Wiley-Blackwell artinfo: ui: 179238651 10.1111/geoj.12573 ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T db: hlh ui: 179238651 – @attributes: type: C db: hlh ui: 179238651 – @attributes: type: P db: hlh ui: 179238651 tig: atl: The troika of energy consumption, economic growth, and CO emission: Quantile regression evidences for five Asian economies. aug: au: Khan, Saleem Jehan, Noor Rauf, Abdur Nawaz, Fahim Erum, Naila affil: Department of Economics, Faculty of Business and Economics, Abdul Wali Khan University Mardan, Mardan Khyber Pakhtunkhwa,, Pakistan Department of Economics, University of Science and Technology Bannu, Bannu Khyber Pakhtunkhwa,, Pakistan Department of Economics, University of Peshawar, Peshawar Khyber Pakhtunkhwa,, Pakistan Accounting Research Institute, University Teknology Mara, Shah Alam Selangor,, Malaysia su: Urbanization Carbon dioxide mitigation Carbon emissions Quantile regression Environmental quality Economic conditions in Asia sug: subj: Urbanization Carbon dioxide mitigation Carbon emissions Quantile regression Environmental quality Economic conditions in Asia keyword: CO2 emissions economic growth five Asian economies quadratic relations quantile regressions renewable energy CO2 emissions economic growth five Asian economies quadratic relations quantile regressions renewable energy ab: This study examined the quadratic role of renewable energy and economic growth on environment quality in Asia's five most populous countries: China, India, Indonesia, Pakistan, and Bangladesh. Previous literature has scarcely addressed these economies and ignores the quadratic role of GDP per capita (GDPPC) and renewable energy (REN) together in a single study. Therefore, using STIRPAT model, we first added the quadratic term of GDPPC and then REN. In both cases, a quantile regression technique is utilised to identify the inclusive relationship between CO2 emissions and determining factors, considering different quantiles (0.25, 0.50, 0.75, 0.90, and 0.95) of CO2 emissions. The findings show that during the annual sample period of 1983–2019, urbanisation, GDPPC, non‐renewable energy, and REN all have an impact on CO2 emissions. Urbanisation and REN have nominal effects, with a 1% change in these variables leading to a 0.19% and 0.05% change in CO2 emissions, respectively. Non‐renewable energy and GDPPC are found to be main sources of CO2 emissions in the region. GDPPC is positively associated with CO2 emissions across all quantiles, but higher quantiles show a stronger correlation (i.e., GDPPC coefficients vary from 0.26 to 0.66). In addition, the results also revealed that the square term of GDPPC and REN significantly reduces CO2 emissions. This implies that our results support the environmental Kuznets curve (EKC) hypothesis; an inverted U‐shaped is established for both GDPPC and REN. These results encourage policy makers to adopt renewable energy that is both growth and environment friendly. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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