scholarly journals Natural resources and CO2 emissions nexus: Sustainable development path for South Asian countries

2021 ◽  
Author(s):  
Usman Mehmood ◽  

The rapid deterioration of the environment has attracted the world’s attention to find the determinants of carbon dioxide (CO2) emissions. In this line, many studies have probed the factors affecting CO2 emissions but the role of natural resources has been overlooked significantly. Therefore, this study attempts to fill this gap by investigating the role of natural resources in CO2 emissions in four South Asian countries over the annual period of 1990-2019. Other variables of trade openness, renewable energy, energy use and gross domestic product (GDP) were also included in the model. Findings of the autoregressive-distributed lag (ARDL) method reveal that natural resources reduce CO2 emissions in Pakistan and India. The abundance of natural resources, increases CO2 emissions in Bangladesh. This association was not found significant in Sri Lanka. Moreover, this research confirmed Environmental Kuznets curve (EKC) in Pakistan, India, Bangladesh and Sri Lanka. Renewable energy is reducing CO2 emissions in these countries. Therefore, natural resources are essential to reduce CO2 emissions in Pakistan and India. Bangladesh needs to utilize its natural resources efficiently to improve air quality.

2020 ◽  
Vol 2 (3) ◽  
pp. 82-90
Author(s):  
Kabiru Maji Ibrahim ◽  
Salisu Ibrahim Waziri

The study investigates the role of information and communication technology (ICT) and renewable energy on environmental sustainability in sub-Saharan Africa. The system generalized method of moments (GMM) was employed to estimate data of 45 sub-Saharan countries that cover the 2008 -2016 period. Result reveals that increasing ICT penetration and renewable energy use reduce CO2 emissions and improves environmental sustainability. Economic growth and population growth also mitigate CO2 emissions while education and trade openness have a neutral impact. These findings imply that increasing penetration of ICT facilities and renewable energy in the region will promote inclusive environmental sustainability. The interactive estimation of ICT variables was further considered to determine net effects and the ICT threshold that is relevant for policy implication.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3470
Author(s):  
Xueqing Kang ◽  
Farman Ullah Khan ◽  
Raza Ullah ◽  
Muhammad Arif ◽  
Shams Ur Rehman ◽  
...  

In selected South Asian countries, the study intends to investigate the relationship between urban population (UP), carbon dioxide (CO2), trade openness (TO), gross domestic product (GDP), foreign direct investment (FDI), and renewable energy (RE). Fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models for estimation were used in the study, which covered yearly data from 1990 to 2019. We used Levin–Lin–Chu, Im–Pesaran–Shin, and Fisher PP tests for the stationarity of the variables. The outcomes of the panel cointegration approach looked at whether there was a long-run equilibrium nexus between selected variables in Pakistan, Bangladesh, India, and Sri Lanka. The FMOLS approach was also used to assess the relationship, and the results suggest that there is a significant and negative nexus between FDI and renewable energy in south Asian nations. The study’s findings reveal a strong and favorable relationship between GDP and renewable energy use. In South Asian nations (Sri Lanka, Pakistan, India, and Bangladesh), the FMOLS and DOLS findings are nearly identical, but the authors used the DOLS model for robustification. According to the findings, policymakers in South Asian economies (Sri Lanka, Pakistan, India, and Bangladesh) should view GDP and FDI as fundamental policy instruments for environmental sustainability. To reduce reliance on hazardous energy sources, the government should also reassure financial sectors to participate in renewable energy.


2020 ◽  
Vol 9 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Hummera Saleem ◽  
Malik Shahzad Shabbir ◽  
Muhammad Bilal khan

PurposeThe purpose of this study is to analyze the dynamic causal relationship between foreign direct investment (FDI), gross domestic product (GDP) and trade openness (TO) on a set of five selected South Asian countries.Design/methodology/approachThis study used newly developed bootstrap auto regressive distributed lags (ARDL) cointegration test to examine the long-run relationship among FDI, GDP and TO for selected South Asian countries for 1975–2016.FindingsThe economic growth (EG) is significantly related to TO for Bangladesh, India and Sri Lanka and the expansion of TO is crucial for growth in these countries. The results show that all countries (except Bangladesh) found the existence of long-run cointegration between FDI, GDP and TO, whereas FDI is a dependent variable. These results concluded that FDI and TO are contributing to EG in these selected countries.Originality/valueThis study is one of the first attempts to investigate the causal relationship and address the short and long dynamic among FDI, GDP and TO regarding five south Asian countries such as Bangladesh, India, Nepal, Pakistan and Sri Lanka.


Author(s):  
Muhammad Tayyab Sohail ◽  
Sana Ullah ◽  
Muhammad Tariq Majeed ◽  
Ahmed Usman ◽  
Zubaria Andlib

AbstractThis study explores the symmetric and asymmetric effects of the shadow economy on clean energy and air pollution of South Asian countries over the period 1991–2019. The short-run ARDL findings for the clean energy model suggest that shadow economy increases clean energy consumption in Pakistan and Sri Lanka, whereas this effect is negative for India and insignificant for other countries. The long-run results indicate the adverse impact only for India and the effects of tax revenue on clean energy are positively significant in Sri Lanka while negatively signiicant in Nepal and Bangladesh. Institutional quality significantly increases clean energy in Pakistan, India, and Nepal. However, in the case of Pakistan and Nepal, institutional quality deteriorated the environmental quality. The results for the pollution model confer that shadow economy increases emissions in Pakistan, decreases in Bangladesh and Nepal, and has no effect in India and Sri Lanka. The nonlinear ARDL results reveal that the positive components of the shadow economy significantly increase clean energy consumption only in Pakistan; however, the negative components of the shadow economy are negatively significant in all countries except Sri Lanka and Nepal. However, the negative component of the informal sector of the economy reduces CO2 emissions in India and increases CO2 emissions in Bangladesh and Nepal. The results offer important policy implications for achieving clean energy and better environmental quality in South Asian countries.


2019 ◽  
Vol 9 (4) ◽  
pp. 527-534
Author(s):  
A. Waheed ◽  
M. Tariq

This study attempts to explore the impact of renewable energy, nonrenewable energy, trade openness and urbanization on carbon dioxide emissions in the selected South Asian countries over the period 1990 to 2014. The study used Panel Fully Modified Ordinary Least Square (FMOLS) for analyzing the relationship between renewable energy, nonrenewable energy, trade openness, urbanization, and carbon dioxide emissions. The results from the FMOLS show that renewable energy is negatively associated with emissions, whereas nonrenewable energy is positively associated with CO2 emissions. Furthermore the empirical estimation revealed that the increase in trade openness increases CO2 emissions. Interestingly, urbanization decreases carbon dioxide emissions in our analysis of selected South Asian region. It implies that increasing the use of renewable energy is an effective policy to mitigate global warming in the South Asian region.


2021 ◽  
Vol 9 ◽  
Author(s):  
Liu Dingru ◽  
Muhammad Ramzan ◽  
Muhammad Irfan ◽  
Özge Gülmez ◽  
Hayriye Isik ◽  
...  

Although a number of studies have been conducted on the environmental Kuznets curve (EKC) and the pollution halo hypothesis (PHH), few researchers have assessed the scope in the light of the BRICS— Brazil, Russia, India, China, and South Africa—nations. Therefore, the current research assesses the income-induced EKC as well as the role of technological innovation and renewable energy consumption utilizing a dataset stretching from 1990 to 2018. The present research utilized the novel method of moments quantile regression (MMQR) developed by Machado and Silva (2019) to assess these interrelationships. The empirical outcomes from the MMQR affirmed an inverted U-shaped interrelationship between CO2 emissions and economic growth across all quantiles (first to ninth) for the BRICS nations, thus confirming the presence of the EKC hypothesis. Furthermore, we affirmed the PHH, thus confirming the negative interrelationship between globalization and ecological footprint across all quantiles (first to ninth). Moreover, it was found that renewable energy use plays a vital role in curbing the emissions of CO2 across all quantiles (first to ninth), while no evidence of significant connection was established between technological innovation and ecological footprint across all quantiles. In addition, the Granger causality outcomes revealed a feedback causality between income and ecological footprint, while a unidirectional causality was established from globalization and renewable energy use to ecological footprint.


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