Improving environmental quality through renewable energy: evidence from South Asian economies

2020 ◽  
Vol 4 (3) ◽  
pp. 335-345
Author(s):  
T. Luni ◽  
M. T. Majeed
2021 ◽  
Author(s):  
Jun Wen ◽  
Waheed Ali ◽  
Jamal Hussain ◽  
Nadeem Akhtar Khan ◽  
Hadi Hussain ◽  
...  

2021 ◽  
pp. 014459872110022
Author(s):  
Muhammad Khalid Anser ◽  
Malik Shahzad Shabbir ◽  
Mosab I Tabash ◽  
Syed Haider Ali Shah ◽  
Munir Ahmad ◽  
...  

This study investigates the causal relationship between renewable energy sources and clean environmental economic growth among South Asian economies. This study comprises the panel data sets for eight (8) South Asian countries, and data start from 2003 to 2017. This study implies a Hausman test to identify which particular tests are more suitable and selected a fixed effect test and granger causality test for effective analysis perspective. Moreover, this study further relies on the panel vector error correction model (PVECM) test to suggest for long-run relationship existence among variables. Furthermore, the evaluation of the panel and the dynamic ordinary least squares regression shows that the production of renewable energy has compelled an effect on economic growth. While other sources of energy for instance, hydropower, geothermal, wind, and solar, have valuable and considerable influence on the economic growth of South Asian economies. The results reveal with these remarks the existence of positive associations among productions of renewable energies, energy dependence, and gross domestic product per capita. The obtained results reveal that renewable energy sources show a momentous effect on the economic growth of South Asian economies.


2018 ◽  
Vol 19 (2) ◽  
pp. 151-170 ◽  
Author(s):  
Muntasir Murshed

The aim of this article is to empirically shed light on the impacts of trade openness (TO) on facilitation of renewable energy transition (RET) across Bangladesh, India, Pakistan, Sri Lanka and Nepal. Against this backdrop, this article incorporated annual time series data stemming from 2000 to 2017 and employed the two-stage least squares (2SLS) panel data estimation methodology. In addition, the panel Granger causality test was also applied to distinguish the possible long-run causal associations between the variables considered in the regression models. In the light of the estimated results, it is found that an improvement in TO triggers renewable energy consumption, improves the primary energy-use efficiency and elevates the access to clean cooking fuel technology within the selected South Asian economies. However, the results also led to the concerning conclusion regarding the ineffectiveness of the trade liberalization policies in curbing the relative consumption of non-renewable energy resources, thereby marginalizing the prospects of overall RET within these economies. JEL: O13, P2, Q42, D12, F35


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