scholarly journals Determinants of Consumption-Based Carbon Emissions in Chile: Application of Non-Linear ARDL

Author(s):  
Tomiwa Sunday Adebayo ◽  
Edmund Ntom Udemba ◽  
Zahoor Ahmed ◽  
Dervis Kirikkaleli

Abstract In recent years, a growing number of scholars have employed various proxies of environmental degradation to understand the reasons behind rising environmental degradation. However, very few studies consider consumption-based carbon emissions even though a clear understanding of the impact of consumption patterns is essential to redirecting the pattern to more sustainable consumption. Thus, this study takes a step forward by using consumption-based carbon emissions (CCO2) as a proxy of environmental degradation using the novel non-linear ARDL. To the understanding of the investigators, no prior studies have investigated the drivers of consumption-based carbon emissions utilizing non-linear ARDL. The study employed ADF and KSS (non-linear) tests to check the stationary level of the data series. Additionally, the symmetric and asymmetric ARDL approaches are utilized to explore cointegration and long-run linkages. The results could not find symmetric cointegration among variables; however, the empirical estimates divulge the long-run asymmetric connection of indicators with the CCO2 emissions. The novel results from the asymmetric ARDL unfold that negative and positive changes in economic growth deteriorate the quality of the environment. Interestingly, a reduction in economic growth has a more dominant contribution to environmental degradation. Moreover, positive changes in renewable energy usage improve the quality of the environment in Chile inferring that Chile can achieve a reduction in environmental degradation by boosting renewable energy consumption. Surprisingly, the study found the ineffectiveness of technological innovation in reducing consumption-based carbon emissions which implies that technological innovation in Chile is not directed towards manufacturing green technology. Finally, the policy implications are discussed to reduce consumption-based carbon emissions.

2021 ◽  
Vol 9 ◽  
Author(s):  
Salim Khan ◽  
Wang Yahong

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO2e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO2e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear Autoregressive Distributive Lag (NARDL) co-integration approach in the context of Pakistan for period 1971–2015. The symmetric results of the current study show poverty and population density along with GDP per capita increase carbon emissions in both the short and long-run, while income inequality has no impact on carbon emissions in the short-run. While in the long-run the symmetric results show that income inequality weakens environmental degradation in terms of carbon emissions. The analysis of NARDL also supports the results obtained from ARDL and suggests a positive effect of poverty, population, and economic growth on carbon emission in Pakistan. The empirical findings of the current study provide policy implications in light of the United Nation's SDGs for the development of Pakistan.


2021 ◽  
Vol 9 ◽  
Author(s):  
Kai He ◽  
Muhammad Ramzan ◽  
Abraham Ayobamiji Awosusi ◽  
Zahoor Ahmed ◽  
Mahmood Ahmad ◽  
...  

The association between economic complexity (sophisticated economic structure) and carbon emissions has major implications for environmental sustainability. In addition, globalization can be an important tool for attaining environmental sustainability and it may also moderate the association between economic complexity and carbon emissions. Thus, this research examines the effects of economic complexity, economic growth, renewable energy, and globalization on CO2 emissions in the top 10 energy transition economies where renewable energy and globalization have greatly increased over the last 3 decades. Furthermore, this study also evaluates the joint effect of globalization and economic complexity on carbon emissions. Keeping in view the presence of slope heterogeneity and cross-sectional dependence in the data, this research utilized second-generation unit root tests (CIPS and CADF), Westerlund cointegration approach, and CS-ARDL and CCEMG long-run estimators over the period of 1990–2018. The results affirmed the presence of cointegration among the considered variable. Long-run findings revealed that globalization, renewable energy, and economic complexity decrease carbon emissions. Conversely, economic growth increases carbon emissions. Moreover, the joint impact of economic complexity and globalization stimulates environmental sustainability. Based on these findings, the government of these groups of economies should continue to expand the usage of renewable energy. They should also promote interaction with the rest of the world by adopting the policy of opening up.


2019 ◽  
Vol 12 (3) ◽  
pp. 145 ◽  
Author(s):  
Vo ◽  
Vo ◽  
Le

The members of the Association of Southeast Asian Nations (ASEAN) have made several attempts to adopt renewable energy targets given the economic, energy-related, environmental challenges faced by the governments, policy makers, and stakeholders. However, previous studies have focused limited attention on the role of renewable energy when testing the dynamic link between CO2 emissions, energy consumption and renewable energy consumption. As such, this study is conducted to test a common hypothesis regarding a long-run environmental Kuznets curve (EKC). The paper also investigates the causal link between carbon dioxide (CO2) emissions, energy consumption, renewable energy, population growth, and economic growth for countries in the region. Using various time-series econometrics approaches, our analysis covers five ASEAN members (including Indonesia, Myanmar, Malaysia, the Philippines, and Thailand) for the 1971–2014 period where required data are available. Our results reveal no long-run relationship among the variables of interest in the Philippines and Thailand, but a relationship does exist in Indonesia, Myanmar, and Malaysia. The EKC hypothesis is observed in Myanmar but not in Indonesia and Malaysia. Also, Granger causality among these important variables varies considerably across the selected countries. No Granger causality among carbon emissions, energy consumption, and renewable energy consumption is reported in Malaysia, the Philippines, and Thailand. Indonesia experiences a unidirectional causal effect from economic growth to renewable energy consumption in both short and long run and from economic growth to CO2 emissions and energy consumption. Interestingly, only Myanmar has a unidirectional effect from GDP growth, energy consumption, and population to the adoption of renewable energy. Policy implications have emerged based on the findings achieved from this study for each country in the ASEAN region.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253464
Author(s):  
M. S. Karimi ◽  
S. Ahmad ◽  
H. Karamelikli ◽  
D. T. Dinç ◽  
Y. A. Khan ◽  
...  

This study examines the relationship between economic growth, renewable energy consumption, and carbon emissions in Iran between 1975–2017, and the bounds testing approach to cointegration and the asymmetric method was used in this study. The results reveal that in the long run increase in renewable energy consumption and CO2 emissions causes an increase in real GDP per capita. Meanwhile, the decrease in renewable energy has the same effect, but GDP per capita reacts more strongly to the rise in renewable energy than the decline. Besides, in the long run, a reduction of CO2 emissions has an insignificant impact on GDP per capita. Furthermore, the results from asymmetric tests suggest that reducing CO2 emissions and renewable energy consumption do not have an essential role in decreasing growth in the short run. In contrast, an increase in renewable energy consumption and CO2 emissions do contribute to boosting the growth. These results may be attributable to the less renewable energy in the energy portfolio of Iran. Additionally, the coefficients on capital and labor are statistically significant, and we discuss the economic implications of the results and propose specific policy recommendations.


2021 ◽  
Vol 9 ◽  
Author(s):  
Yawen Zhao ◽  
Muhammad Ramzan ◽  
Tomiwa Sunday Adebayo ◽  
Seun Damola Oladipupo ◽  
Ibrahim Adeshola ◽  
...  

This research offers a new perceptive of the dynamic connection between CO2 and globalization, technological innovation (TI), economic growth, and renewable energy (REN) consumption in Spain. The current research applied the wavelet tools to assess these interconnection utilizing data stretching from 1980 to 2018. The outcomes of these analyses disclose that the association among the series evolves over frequency and time. The current analysis uncovers notable wavelet coherence and strong lead and lag connections in the frequency domain, whereas the time domain indicates inconsistent correlations among the variables of interest. The outcomes of the wavelet analysis from the economic perspective affirm that in the short and medium term, globalization, economic growth, and TI contribute to environmental degradation; however, in the long term, globalization, economic growth, and TI do not contribute to the degradation of the environment. Moreover, at different frequencies, REN consumption helps mitigate environmental degradation in Spain. Furthermore, the spectral causality test unveiled that in the long term, REN utilization, globalization, TI, and economic growth can predict CO2 emissions in Spain.


2021 ◽  
Vol 13 (4) ◽  
pp. 1844 ◽  
Author(s):  
Husam Rjoub ◽  
Jamiu Adetola Odugbesan ◽  
Tomiwa Sunday Adebayo ◽  
Wing-Keung Wong

One of the questions that remain unanswered in the literature on determinants of carbon emissions is the moderating effect of “financial development”. This becomes imperative, owing to the connection of carbon emissions to environmental degradation, which is considered to be one of the main challenges to sustainable development. Thus, this study investigated the moderating role of financial development in the determinants of carbon emissions for Turkey during the period of 1960 to 2016. Zivot–Andrew and Lee–Strazicich “unit root tests” were utilized to investigate the stationarity properties of the series. The cointegration among the variables employed was examined by utilizing the ARDL bounds test and Bayer–Hanck cointegration test. In contrast, the long-run causal relationship of the variables with carbon emissions was examined by using fully modified ordinary least square (FMOLS), dynamic OLS (DOLS), and Canonical Cointegrating Regression (CCR). The empirical findings reveal the significance of “economic growth”, “capital formation”, “energy consumption”, “urbanization”, and “financial development” as determinants of environmental degradation in Turkey. The study also found the significant moderating role of “financial development” in the relationship between “economic growth” and carbon emissions, capital formation and carbon emissions, and urbanization and carbon emissions. The environmental–financial related policies were suggested for the policymakers in Turkey to aid the reduction of carbon emission with the view of improving environmental quality.


2021 ◽  
Vol 16 (3) ◽  
pp. 183-202
Author(s):  
Hamad Hasul Khan ◽  
◽  
Siti Rahyla Rahmat ◽  

The study examines the dynamic relationship between foreign direct investment (FDI) inflows, economic growth, and environmental degradation and investigates the long-run validity of the environmental Kuznets curve (EKC) and the pollution haven hypothesis (PHH) for selected Asian countries over the period 1990–2019. Additionally, this study aims to discover the longrun impact of energy consumption, globalization, and population density on environmental degradation by employing a panel cointegration approach, fully modified ordinary least squares (FMOLS), and dynamic ordinary least squares (DOLS). The findings provide clear evidence of the existence of EKC and PHH in Asian countries for the period 1990–2019 in the long run. The findings reveal that economic growth has a highly significant and positive role in depleting environmental quality, but this effect gets reversed in the long run as, after a certain turning point, economic growth increases, and the quality of the environment gets better. Moreover, FDI inflows and energy consumption have a positive long-run impact on CO2 emissions, thus contributing to environmental degradation. The study recommends that governments and policymakers should strategically devise and implement CO2 reduction policies, such as carbon pricing, to encourage economic growth and to improve the quality of the environment, with the ultimate goal being to achieve sustainable development. Moreover, the use of cleaner energy should be promoted, and innovations and technological developments should be encouraged for hydropower, wind power, solar energy and other facilities around the world.


2021 ◽  
Author(s):  
Muhammad Amir ◽  
Muhammad Siddique ◽  
Kamran Ali ◽  
Azaz Ali Ather Bukhari ◽  
Naila Kausar

Abstract The purpose of this study is to assess the asymmetric associations of environmental degradation, and economic growth with Pakistan's tourism demand. To fulfil this purpose, “non-linear autoregressive distributed lag” (NARDL) modelling was performed on the time series data collected from Pakistan for 26 years. The unit root test, co-integration test, long-run estimation, and NARDL estimations were applied to the data to generate findings. The present study revealed the presence of significant asymmetric associations between environmental degradation and tourism demand and economic growth and tourism demand. It is found that the increase and decrease in economic growth cause the tourism demand of Pakistan to increase. Results further indicate that the increase in environmental degradation in Pakistan causes its tourism demand to reduce. The current study tends to be theoretically significant and practically beneficial for Pakistan's policymakers. It will help them realize the role of economic growth of the country and environmental degradation in shaping Pakistan's tourism demand and thus help them develop and implement better policies for the growth of the tourism sector.


2013 ◽  
Vol 291-294 ◽  
pp. 1616-1619 ◽  
Author(s):  
Qun Wei Wang ◽  
Cheng Ling Cai ◽  
Dan Lu

This paper studies the relationships between economic growth, energy consumption and carbon dioxide emissions using an autoregressive distributed lag (ARDL) procedure and Engle-Granger causality test in China over the period 1965-2011. The empirical results show that GDP, energy and carbon emissions have appeared to be cointegrated. Moreover, there exists unidirectional causality from energy consumption to economic growth and carbon emissions to economic growth in short run. It has also been found that energy consumption and carbon emissions promote economic growth in long run. Some policy implications have been proposed finally.


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