scholarly journals Energy Consumption and Ecological Footprint in the World’s Major Suppliers of Crude Oil: Does Difference in Oil Production Status Between Sub-groups Count?

Author(s):  
Oluwasegun Babatunde Adekoya ◽  
Joshua Kolade Olabode

Abstract The need to maintain quality environment despite the increasing human activity and pressure on energy resources remains a topical issue in the field of Environmental Economics. However, we observe that the impact of energy consumption on ecological footprint in the Organization of Petroleum Exporting Countries (OPEC) has not received keen attention in the literature. This study thus delves into the nexus for the country group. For a more robust policy bearing, we partition the countries into Middle-East and non-Middle-East members because of their huge energy supply and consumption differences. Summarizing the results, energy consumption increases environmental degradation across all samples. However, despite the Middle-East countries being the highest per capita energy consumers, their energy consumption contributes less to environmental degradation compared to the non-Middle-East countries. For completeness, we report the long-run country-specific estimates and find that only in Congo is environmental quality enhanced by energy consumption.

2015 ◽  
Vol 26 (5) ◽  
pp. 666-682 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri ◽  
Geetilaxmi Mohapatra

Purpose – The purpose of this paper is to investigate the impact of financial development, economic growth and energy consumption on environment degradation for Indian economy by using the time series data for the period 1971-2011. Design/methodology/approach – The stationary properties of the variables are checked by ADF, DF-GLS, PP and Ng-Perron unit root tests. The long-run relationship is examined by implementing the Autoregressive Distributed Lag bounds testing approach to co-integration and error correction method (ECM) is applied to examine the short-run dynamics. The direction of the causality is checked by VECM framework and variance decomposition is used to predict exogenous shocks of the variables. Findings – The empirical evidence confirms the existence of long-run relationship among the variables. Financial development appears to increase environmental degradation in India. The main contributors to environmental degradation are: economic growth, energy consumption financial development and urbanization. The results also lend support to the existence of environmental Kuznets curves for Indian economy. Research limitations/implications – The present study suggests that environmental degradation can be reduced at the cost of economic growth or energy efficient technologies should be encouraged to enhance the domestic product with the help of financial sector by improving environmental friendly technologies from advanced economies. Originality/value – This paper proposes to make a contribution to the existing literature through examining the relationship between financial development and environmental degradation in Indian economy during 1971-2011 by employing modern econometric techniques.


2022 ◽  
Vol 9 ◽  
Author(s):  
Xiaowen Wan ◽  
Atif Jahanger ◽  
Muhammad Usman ◽  
Magdalena Radulescu ◽  
Daniel Balsalobre-Lorente ◽  
...  

The study explores the association between economic complexity, globalization, renewable and non-renewable energy consumption on the ecological footprint in the case of India from 1990–2018. The autoregressive distributed lag (ARDL) is applied to measure the long-run elasticity, while the vector error correction model (VECM) is applied to classify the causal path. The empirical findings demonstrate that economic complexity, globalization process, and renewable energy consumption play a dominant role in minimizing environmental degradation. In contrast, economic growth and non-renewable energy consumption are more responsible for increasing the pollution level in both the short and long run. Furthermore, the VECM outcomes disclose that there is long-run causality between ecological footprint and economic complexity. Moreover, the empirical outcomes are robust to various robustness checks performed for analysis to the consistency of our main results. The Indian government/policymakers should encourage a more environmentally friendly production process and eco-friendly technologies in exports to minimize environmental degradation.


Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1076 ◽  
Author(s):  
Tijjani Adamu ◽  
Ihtisham Haq ◽  
Muhammad Shafiq

The economic size of the Indian economy and its status as one of the major global emitters of carbon emissions makes the country a good place to study the determinants of environmental degradation in India. The study aims at analyzing the impact of energy, export variety, and foreign direct investment (FDI) on environmental degradation in India in the context of environmental Kuznets curve (EKC) hypothesis. The long run relationship was found between variables of the study through a cointegration test, whereas long run estimates were obtained through cointegration and dynamic ordinary least squares (DOLS). Results of the study reveal that energy consumption, export variety, FDI, and income positively contributed to environmental degradation in India. Results also unveil that the EKC hypothesis does not exist in India. Causality analyses document unidirectional causality from income and FDI to environmental degradation, and bidirectional causality was witnessed between energy consumption and environmental degradation and between export variety and environmental degradation in the long run. The long run and the short run causality highlight that India has to forego the short run economic growth in order to improve its environmental quality and reduce global carbon emissions; however, it will not affect its long term economic development process.


2020 ◽  
Vol 58 (3) ◽  
pp. 415-439
Author(s):  
Adedayo Emmanuel Longe ◽  
Olawunmi Omitogun ◽  
Oluwole Oluniyi Adelokun ◽  
Emmanuel Olajide Adebayo ◽  
Shehu Muhammad

Abstract This study investigates the impact of trade and transport services on the environment in Africa. Secondary data for 21 countries spanning 2000 and 2014 were used and analysed using POLS, FE, RE and PMG. These techniques revealed diverse results. The Hausman test was used to decide between FE and RE in the study. The Hausman test accepts the FE result due to it 5% significant result. The POLS reveal that trade and economic growth reduces degradation in Africa, while transport services in the export and import sector and energy consumption increases degradation. Notably from the FE result, trade, energy consumption and economic growth showed a positive impact on environmental degradation in Africa, while transport services in the import and export sector reduces environmental degradation. For the PMG result, findings show that in the long-run, trade, transport services (export and import), energy consumption, and economic growth increase degradation in Africa. This implies as these activities increases in the long run, there are no measure to ensure environmental quality. In the short-run, trade and transport services in the import sector reduce degradation as many of the importation is dominated by improved technology products, while transport services in the export sector, energy consumption and economic growth positively impact on environmental degradation in Africa. The study concludes a mixed effect of trade and transport services on the environment in Africa. A major recommendation is that more energy efficient technologies should be used in Africa to meet the sustainable environment goal and this can be done by reviewing trade policy to encourage inflow of improved technology into the economies.


2021 ◽  
Vol 8 (4) ◽  
pp. 463-473
Author(s):  
David Ashibi Ushie ◽  
Esther Ranmilowo Aderinto

This study tests the existence of the Environmental Kuznets Curve (EKC) hypothesis for Nigeria using two environmental indicators vis-à-vis ecological footprint and carbon dioxide emissions. Data was sourced from World Development Indicators (WDI) and the Global Footprint Network for the period spanning from 1981 to 2019.The Auto Regressive Distributed Lag (ARDL) method was employed. It was observed that short-run and long-run relationships exist among the variables. Findings revealed that in the short and long run, energy consumption has positive effects on CO2 emissions in Nigeria. However, for ecological footprint, only energy consumption in the three lagged period has a positive relationship with EFP in the short run without any significant effect being observed in the long run. Similarly, an inverted U-shaped environmental degradation-economic development relationship was established in the study which validated the EKC hypothesized inverted U-shape for CO2 emissions. However, for EFP, there was no evidence of the EKC. As such, the shape of the EKC curve is subject to the environmental indicators employed. The study therefore recommends an increase in the use of alternative sources of energy that are relatively free from pollutant emissions as an alternative and viable option for Nigeria.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.


2021 ◽  
Vol 13 (11) ◽  
pp. 5866
Author(s):  
Muhammad Khalid Anser ◽  
Qasim Raza Syed ◽  
Hooi Hooi Lean ◽  
Andrew Adewale Alola ◽  
Munir Ahmad

Since the turn of twenty first century, economic policy uncertainty (EPU) and geopolitical risk (GPR) have escalated across the globe. These two factors have both economic and environmental impacts. However, there exists dearth of literature that expounds the impact of EPU and GPR on environmental degradation. This study, therefore, probes the impact of EPU and GPR on ecological footprint (proxy for environmental degradation) in selected emerging economies. Cross-sectional dependence test, slope heterogeneity test, Westerlund co-integration test, fully modified least ordinary least square estimator, dynamic OLS estimator, and augmented mean group estimator are employed to conduct the robust analyses. The findings reveal that EPU and non-renewable energy consumption escalate ecological footprint, whereas GPR and renewable energy plunge ecological footprint. In addition, findings from the causality test reveal both uni-directional and bi-directional causality between a few variables. Based on the findings, we deduce several policy implications to accomplish the sustainable development goals in emerging economies.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1372
Author(s):  
Silviu Nate ◽  
Yuriy Bilan ◽  
Danylo Cherevatskyi ◽  
Ganna Kharlamova ◽  
Oleksandr Lyakh ◽  
...  

The paper analyzes the impact of energy consumption on the three pillars of sustainable development in 74 countries. The main methodological challenge in this research is the choice of a single integral indicator for assessing the social component of sustainable development. Disability-adjusted life year (DALY), ecological footprint, and GDP (Gross domestic product) are used to characterize the social, ecological, and economical pillars. The concept of physics, namely the concept of density (specific gravity), is used. It characterizes the ratio of the mass of a substance to its volume, i.e., reflects the saturation of a certain volume with this substance. Thus, to assess the relationship between energy consumption and the three foundations of sustainable development, it is proposed to determine the energy density of the indicators DALY, the ecological footprint, and GDP. The reaction to changes in energy consumption is described by the elasticity of energy density functions, calculated for each of the abovementioned indicators. The state of the social pillar is mostly dependent on energy consumption. As for the changes in the ecological pillar, a 1% reduction in energy consumption per capita gives only a 0.6% ecological footprint reduction, which indicates a low efficiency of reducing energy consumption policy and its danger for the social pillar. The innovative aspect of the research is to apply a cross-disciplinary approach and a calculative technique to identify the impact that each of the pillars of sustainable development imposes on energy policy design. The policy of renewable energy expansion is preferable for all sustainable development pillars.


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