Evidence map›Paper›PMID 33058083›Full record

ArticleEnvironmental science and pollution research international2021

LPG consumption and environmental Kuznets curve hypothesis in South Asia: a time-series ARDL analysis with multiple structural breaks.

Muntasir Murshed

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Review
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  9. Does trade openness mitigate the environmental degradation in South Africa?Environmental science and pollution research international · 2022
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  10. Modelling the globalization-COEnvironmental science and pollution research international · 2022
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  11. Corporate default risk and environmental deterioration: international evidence.Environmental science and pollution research international · 2022
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  18. Impact of globalization, foreign direct investment, and energy consumption on COEnvironmental science and pollution research international · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Muntasir MurshedSchool of Business and Economics, North South University, Dhaka, Bangladesh. muntasir.murshed@northsouth.edu.ORCID https://orcid.org/0000-0001-9872-8742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to scrutinize the validity of the greenhouse emissions-induced environmental Kuznets curve (EKC) hypothesis, controlling for liquefied petroleum gas (LPG) consumption, FDI inflows, and trade openness, in the context of six South Asian economies. Besides, the impacts of LPG use on both aggregate and disaggregated emissions of greenhouse gases are also evaluated. Using annual data from 1980 to 2016, the elasticity estimates from the autoregressive distributed lag (ARDL) regression analysis confirms the authenticity of the EKC hypothesis for Bangladesh, India, Sri Lanka, and Bhutan. In the cases of Pakistan and Nepal, economic growth, in the long-run, is evidenced to monotonically increase and decrease the greenhouse emissions, respectively. However, LPG consumption is found to homogenously reduce all types of greenhouse emissions in each of the selected South Asian nations. Moreover, in majority of the cases, statistical evidence of joint favorable impacts of economic growth and LPG consumption on the environment are ascertained. Furthermore, the Hacker and Hatemi-J bootstrapped causality analysis finds causal relationships between economic growth, greenhouse emissions, and LPG consumption. However, the causality estimates are found to be heterogeneous across the different South Asian nations considered in the analysis. The results, in a nutshell, denote that economic growth is both the cause and the solution to the greenhouse emission problems faced by the South Asian economies. Moreover, the results also assert that LPG can be a transitional fuel to reduce these emissions before the South Asian nations are ready to undergo transition from non-renewable to renewable energy consumption. Hence, the findings impose key fuel-diversification policy implications for the South Asian governments.

Indexed as

Carbon DioxidePetroleumBangladeshEconomic DevelopmentIndiaNepalPakistanSri LankaCarbon DioxidePetroleumEKC hypothesisLiquefied petroleum gasPollution haven hypothesisSouth AsiaStructural breaks

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.