Non-renewable Energy Consumption Research Articles

Unveiling the relationship between environmental quality, non-renewable energy usage and natural resource rent: Fresh insights from ten asian economies

Asia is counted as one of the regions that has been dealing high emissions and energy consumption issue especially since last decade. Also, Natural resource rents are one of the influencing constraints which damages the environmental quality. Since the recent global climate summit is conducted to gather world leaders together to accelerate Paris agreement goals. Thereby, considering COP26 commitments, the study intended to explore the role of COP26 commitments along with non-renewable energy consumption in the extraction of natural resources. The necessity to study it in the context of 10 Asian economies is due to the high emissions and energy consumption and one should know that transitioning the economy towards renewable consumption is an essential target to meet COP26 net-zero emission goal. Thus, the study covered the period from 2006 to 2020 to explore the relationship between variables in Asian economies. Findings echoed that carbon emissions and methane emissions are positively associated with natural resource rents, hence establishing the fact that COP26 environmental targets are negatively related to natural resource rents. Consistent with prior literature, findings also exposed the positive association of fossil fuel energy consumption with natural resource rent, hence highlighting the need of serious policy implications in order to save the environmental and natural resources for future generation.

Assessing the heterogeneous impacts of energy consumption on human development of G7 by employing advanced quantile panel data estimation

Modern social and economic organization forms have increasingly expanded energy usage, and these shifts in energy consumption have had a major impact on human development across the globe. The important question the current study addresses is assessing the heterogeneous effects of energy consumption (renewable and non-renewable) on the human development of the Group of Seven countries during 1991–2015 by applying a novel method of moments panel quantile regression. Interestingly, the most striking finding of the current study reveals that the impacts of renewable and non-renewable energy consumption on the human development index are diverse at different quantiles. The influence of renewable energy consumption is heterogeneous and significantly positive at different quantiles, with the lowest quantiles having the strongest impact and the highest quantiles having the least impact. Besides, the impact of non-renewable energy consumption is also heterogeneous on the human development index. The effect of non-renewable energy consumption is significantly negative for all the quantiles, with the size of the negative effect getting bigger for higher quantiles. In addition, our results show that renewable and non-renewable have a bidirectional causal relationship with the human development index. These novel findings will assist government officials as well as policymakers in better understanding how energy consumption influences human development.

Environmental impact of organic and conventional wine grape production, a case study from Wuwei wine region, Gansu Province, China

The City of Wuwei was the first place in Gansu province to cultivate grapes for wine production and is representative of wine grape growing in arid areas across China. In the interest of advancing green agricultural development and in order to cope with a changing climate, viticulture in China is experiencing a shift towards greener production methods. In order to do this, a better understanding of the environmental impacts associated with production at the farm level is needed. This study assessed three different wine grape production chains (one organic and two conventional) using life cycle assessment (LCA) in the Wuwei wine region of Gansu Province. Results show that non-renewable energy (NR) consumption is higher at the pre-farm stage compared to on-farm consumption. In addition, nitrogen fertilizer (N) and electricity production, account for 32.5% and 30% respectively in conventional production, whilst in organic farming, electricity generation and pesticide production account for 62% and 22% respectively. Pre-farm activities were found to have a higher impact on global warming potential (GWP) than on-farm operations. The average contribution of N and electricity production was 36% and 32% respectively in conventional production during the pre-farm stage, while in organic farming, the contribution of electricity generation dominated at 68%. Organic fertilizer, N and electricity production are the major contributors to acidification potential (AP) and pesticide production contributes the most to eutrophication potential (EP) in the pre-farm phase·NH3 and NO3--N emissions are dominant contributors to on-farm AP and EP respectively. N2O, NH3, and NO3--N emissions are the top 3 contributors to GWP, AP and EP in the on-farm stage are mainly caused by overuse of N. In general, organic production has a lower environmental impact index than conventional farming. Options for minimizing environmental burdens include: the use of biotic materials in vineyard infrastructure; soil testing-based fertilization; deficit irrigation, policy innovation and strengthening the enabling environment for laws and regulations.

Green transition and economic growth in G20 countries: evidence from disaggregated energy sources.

Green transitioning through renewable energy sources is the most effective strategy for any economy. This study investigates the extent to which G20 countries are shifting towards a green economy compared to prioritizing economic growth. To this end, the present study analyzes the nodes between income and renewable (solar, wind, hydro, and biomass) and nonrenewable (oil, coal, and gas) energy sources for the period of (1997-2020) in G20 countries. The energy-environmental Kuznets curve method is applied to study their behavior at various stages of growth. The main findings showed that wind, solar, and biomass energies have an inverted N-shaped relationship with income. The hydroelectricity did not follow any traditional EKC shape, showing a steady positive trend and growth. While nonrenewable energy consumption, i.e., coal, oil, and gas, follows an N-shaped EKC curve. The impact of foreign direct investment in the solar and wind sectors is positive. The varying outcomes concerning foreign direct investment (FDI) indicate that although G20 countries strive to achieve their green transition objectives by discouraging environmentally harmful investments, their success remains limited. The study indicates that G20 nations are progressing toward a green transition; however, additional technological innovations are required to transform these economies from brown to green. Governments can establish research institutions, offer grants and incentives, and encourage collaboration between academia, industry, and government to support green technology R&D.

Energy imports as inhibitor of economic growth: The role of impact of renewable and non-renewable energy consumption

ABSTRACT This study investigates the role of energy imports in domestic production function in the case of 15 energy-importing countries for the period of 1995–2015. Apart from energy imports, renewable energy consumption, non-renewable energy consumption, capital, trade openness, and urbanization are included in the growth model. In doing so, long-run elasticity coefficients are estimated with the Dynamic Seemingly Unrelated Regressions (DSUR) model after determining the cointegration relationship between the variables. In addition, for robustness checks, Panel Correlated Standard Errors (PCSE) and Feasible Generalized Least Squares (FGLS) estimators are applied. Our results show that renewable energy consumption, non-renewable energy consumption, trade openness, and capital have a positive effect on economic growth. Energy imports negatively affect economic growth. The Dumitrescu-Hurlin causality analysis reveals a bidirectional causality relationship between renewable energy consumption, capital, trade openness, urbanization, and economic growth. A unidirectional causality relationship exists from economic growth to non-renewable energy consumption and energy imports. This analysis can be interpreted as having a negative impact on economic growth by putting pressure on the current account deficit due to energy imports. Therefore, investments in the renewable energy sector will play an important role in economic growth.

Nexus between green finance, renewable energy and carbon emission: Empirical evidence from selected Asian economies

Using data from selected Asian countries from 1995 to 2018, this new article investigated the dynamic correlation among non-fossil fuel and fossil - based energy utilization, economic growth, and Gross domestic product (GDP). For empirical research, the panel co-integration approach with structural breakdowns is employed. The findings indicate that non-fossil fuel and fossil - based energy, economic growth, and economic expansion have a long-term equilibrium connection. In both the short and long term, the panel causality studies reveal bidirectional causation between industrial production and both non-renewable energy and renewable energy consumption. The results from the panel error correction model reveals that the positive (negative) elasticities of nonrenewable energy consumption are 0.96 (1.15), suggesting that a 1% rise (decrease) in nonrenewable energy is expected to increase (reduce) 0.96% (1.15%) in carban dioxide emissions. These findings suggest that selected Asian countries’ industrial production and overall economic growth are still energy-dependent. In addition, there is two directional short run test causality among renewable energy consumption and non-renewable energy consumption might help to create a more sustainable energy economy.

The Role of Education and Innovation in Renewable Energy Consumption in OECD and BRICS Countries

Extreme climatic catastrophes and increasing emission levels demonstrate that humanity and nature are in confrontation. In this situation, the responsibility falls on intellectuals who engage in critical thinking, research, and innovation, propose solutions to problems, and bring society together to pursue a common goal. The present study assesses the role of education and Innovation in climate change mitigation in OECD and BRICS countries, where the use of renewable energy and decreasing the use of non-renewable energy are considered climate change mitigation strategies. The GMM approach is used to test the empirical model. The results indicate that increasing education and innovation levels in OECD and BRICS countries positively impact renewable energy consumption. However, the role of education and innovation in reducing the use of non-renewable energy consumption in the BRICS is insignificant, while in OECD countries, it is found significant. Thus, this study recommends that environmental education and green innovation be the focus to get sustainable development.

Unraveling the Interrelationship of Digitalization, Renewable Energy, and Ecological Footprints within the EKC Framework: Empirical Insights from the United States

The study seeks to better comprehend the ecological footprint of the United States by analyzing the effects of digital financial inclusion (FinTech) as well as renewable and non-renewable energy usage. Data from 2005 Q1 to 2020 Q4 were analyzed using the quantile autoregressive lag (QARDL) method. It also used Granger causality in quantiles to analyze the correlation between variables and draw conclusions about their relative importance. Quantile-wise, the error correction parameter is statistically significant with the predicted negative sign, as shown by the results obtained using the QARDL method. Indications are mounting that the relationship between these variables and the United States’ ecological footprint is returning to its long-term equilibrium. However, in the long/short-run period, across all quantiles, economic growth and consumption of non-renewable energy have a positive impact on the ecological footprint. The environmental Kuznets curve (EKC) theory was also examined, which holds that an inverted U-shaped link exists between economic growth and environmental degradation. The QARDL study’s findings corroborated the presence of an EKC in the US, lending credence to the theory that while economic growth at first promotes environmental deterioration, further progress ultimately promotes environmental improvement. The study additionally checked the results of the QARDL test for robustness using the ARDL approach. Recommendations for public policy are included in the paper for consideration by legislators and policymakers.

Energy transition and pollution emissions in developing countries: are renewable energies guilty?

PurposeThis study aims to examine the effects of energy transition on pollution emissions in Africa. In addition, it explores the indirect channels through which energy consumption impacts environmental quality.Design/methodology/approachThe study uses system Generalised Method of Moments approach for a panel of 51 developing African countries over the 1996–2020 period.FindingsThe results show that fossil fuel and renewable energy consumption increase pollution emissions. The environment-degrading effect of renewable energy in Africa is however counter-intuitive, though the results are robust across regional economic blocks and income groups except for upper-middle-income countries where energy consumption is environment enhancing. Moreover, the results show that the environmental impacts of non-renewable energy consumption are modulated through financial development and information and communication technology (ICT) adoption, leading to respective positive net effects of 0.04460796 and 0.07682873. This is up to respective policy thresholds of 203.265 and 137.105 of financial development and ICT adoption, respectively, when the positive net effects are nullified.Practical implicationsContingent on the results, the study suggests the need for African countries to develop sound financial systems and encourage the use of green technologies, to ensure that energy transition effectively contributes to emissions reduction. Policymakers in Africa should also be aware of the critical levels of financial development and ICT, beyond which complementary policies are required for non-renewable energy consumption to maintain a negative impact on environmental degradation.Originality/valueFirstly, extant studies on the nexus between energy transition and environmental degradation in Africa are very sparse. Therefore, this study fills the existing research gap by comprehensively examining the effects of energy transition on pollution emissions across 51 African economies. Additionally, besides accounting for the direct environmental effects of energy transition, the current study accounts for the indirect channels through which the environmental impacts of energy transition are modulated. Hence, this study provides critical thresholds for the policy modulating variables, which enlighten policymakers on the necessity of designing complementary policies once the modulating variables attain the established thresholds.

The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model

Like other developing countries, Pakistan faces one of the most serious challenges of how to mitigate carbon emissions while achieving sustainable development. Although, it is widely accepted that the rising trend of carbon emissions and the resulting negative effects of climate change on human activities have emerged as major issues in recent years, the environmental effectiveness needed to clean the environment and promote sustainability is often overlooked. Using the PLSM 2018–2019 survey, this study attempts to examine the household sector’s renewable and non-renewable energy usage magnitude, and the share of renewable and non-renewable energy in Pakistan. Furthermore, this study examines the impact of income, household size, biomass, non-renewable energy, and clean energy on carbon emissions using the STIRPAT model. It is obvious from the empirical findings that the coefficient of income is positive, whereas the coefficient of income square is negative and statistically significant, which indicates that carbon emissions in the household sector increase at lower income levels, while decreasing as income increases. The household size shows that the population has a positive impact on carbon emissions. The impact of biomass, non-renewable, and clean energy is particularly appealing, as the household sector consumes more biomass and non-renewable energy, which stimulates carbon emissions to rise. In the rural sector, clean energy has a negative but statistically insignificant impact on carbon emissions, showing a greater reliance on biomass and non-renewable energy consumption. Lastly, it is suggested that reducing the use of non-renewable energy in the household sector while increasing the use of green energy could be a policy option for making the environment clean and sustainable.

Climate change, renewable and non-renewable energy consumption and agricultural development in the Middle East and North African countries

Climate change, renewable and non-renewable energy consumption and agricultural development in the Middle East and North African countries

Links between renewable and non-renewable energy consumption, economic growth, and climate change, evidence from five emerging Asian countries.

One of the greatest challenges facing humanity in the current millennium is the need to mitigate climate change, and one of the most viable options to overcome this challenge is to invest in renewable energy. The study dynamically examines the links between renewable energy consumption, non-renewable energy consumption, climate change, and economic growth in five emerging Asian countries during the period 1975-2020. Variables selected in the model have long-term cointegration, as explored by the Pedroni cointegration test and the Westerlund cointegration test. The long-term estimated parameters of the augmented mean group (AMG) method show that renewable energy consumption significantly reduces climate change, while non-renewable energy consumption significantly promotes climate change. The results also show that GDP, investment in transport infrastructure, and urbanization can significantly contribute to climate change in selected emerging Asian countries. Moreover, the results validate the inverted U-shaped EKC hypothesis for emerging Asian economies. Country-specific analysis results using AMG estimates shows that renewable energy consumption reduces climate change in selected emerging Asian countries. Non-renewable energy consumption and investment in transport infrastructure have had significant progressive impacts on climate change in all countries. Urbanization contributes significantly to climate change, with the exception of Japan, which does not have any significant impact on climate change. GDP contributes significantly to climate change in all countries; however, GDP2 has significant adverse effects on climate change in India, China, Japan, and Korea, validating the inverted U-shaped EKC assumption for all countries except Bangladesh. Moreover, the Dumitrescu and Hurlin causality test confirmed a pairwise causal relationship between non-renewable energy consumption and GDP, supporting the feedback hypothesis. The results suggest that the best option for climate change mitigation in selected emerging Asian countries is to transition from non-renewable to renewable energy sources.

Modelling the asymmetric effects of renewable and nonrenewable energy consumption and financial development on CO2 emissions in India: Empirical findings from the NARDL and Wavelet Coherence Approach.

A major challenge for humans in the twenty-first century is devising a way to minimize environmental pollution while fostering economic growth that will not deplete the planet's resources. Despite increased awareness of climate change and efforts to combat it, the amount of pollution emissions on the Earth continues to drop significantly. This study employs cutting-edge econometric methods to examine the long- and short-term asymmetric and causal impacts of renewable and non-renewable energy consumption and financial development on CO2 emissions in India at both aggregate and disaggregated levels. Thus, this work fills a significant gap in research. A time series from 1965 to 2020 was used for this study. Wavelet coherence was employed to investigate causal effects among the variables, while the NARDL model addressed long-run and short-run asymmetry effects. Our findings indicate that (i) REC, NREC, FD, and CO2 emissions are all interconnected in the long run, (ii) NREC and FD significantly trigger CO2 emissions in India in the long run, and (iii) the results of a wavelet coherence-based causality test support the long-term estimates of this study.

Food security and agriculture value-added: Do they asymmetrically matter for Korean environmental sustainability?

Limited research has previously probed the interplay between Korea’s food security, agricultural sector, and environmental ramifications. This study delves into the asymmetric influence of food security and agricultural value-added on Korea’s carbon dioxide emissions (an environmental sustainability proxy) from 1970 to 2020, incorporating non-renewable energy consumption and foreign direct investment. Employing a nonlinear auto-regressive distributed lag methodology, our findings unveil long-term asymmetric effects of food security and agricultural value-added on carbon dioxide emissions. Specifically, carbon dioxide emissions rise with positive shocks to food security and agricultural value-added but decline with negative shocks. Moreover, our analysis reveals that non-renewable energy consumption positively impacts carbon dioxide emissions, whereas foreign direct investment exerts a negative effect. These insights may underpin policy recommendations for the Korean government to bolster environmental sustainability.

Audit Energi dan Rekomendasi Penghematan Energi Listrik di Gedung Rumah Sakit

The actions for electricity consumption more efficiently is reducing the amount of electricity consumption of renewable and non renewable energy for human living sustainability or we can called energy conservation. Energy audit purposed to the energy utilization evaluation progress, is still infrequently applied in Indonesia, especially in huge building. The analyzing result of A building in the Dr. Radjiman Wediodiningrat Asylum, the first value audit of Energy Use Intensity (EUI) is 21,944 kwh/m2/year it was include the criteria of efficient. This EUI value is below EUI research that was issued by ASEAN-USAID in 1992 and the EUI value average of hospital in Korea, while detailed audit obtained energy value of EUI is 23,213 kWh/m2/year is included to the criteria of efficient. The THDi value in electricity system is IR= 33,2%, IS=24,48%, IT= 34,85% and IN=122,96%, the THDi value is not complied with IEEE 519-2014 permission which is the value is ISC/IL> 1000 has restraint value by 20%. Whereas the THDv value in electricity system is VR-S= 2,04%, VS-T= 2,11%, VT-R= 1,97%, VR-N= 3,83%, VS-N= 3,69%, VT-N= 3,73% and VL-L= 2,04% and VL-N= 3,75%, the value of THDv is complied the permissiod by IEEE 519-2014 with Voltage system of identification by 0,4 kV, therefore the limit value of THDV which permitted is 8%.

Modeling the Nexus of Renewable and Non-Renewable Energy Consumption and Economic Progress in Southeastern Europe: A Panel Data Analysis

As the fourth industrial revolution drives innovation and economic growth, the energy sector is increasingly recognized for its significant economic contribution. This research aims to investigate the relationship between economic growth and renewable and non-renewable energy consumption in nine southeastern European countries using panel estimation techniques and causal inference. This research employs a unique approach to modeling the energy–growth nexus, incorporating interaction terms to better understand the impact of renewable energy on real GDP growth. The findings are a valuable addendum to the current body of research on the effects of renewable energy consumption on economic growth, and the results contribute to narrowing the empirical research gap in the econometrical field of panel data estimation and endogeneity. This study uses the fully modified OLS (FMOLS) technique for heterogeneous panels to estimate coefficients, while the error correction model (ECM) is used to estimate the cointegration vector between energy variables and GDP. The non-causality test by Dumitrescu and Hurlin (2012) evaluates the causation between energy variables and economic output. Empirical findings indicate that both renewable and non-renewable energy consumption positively affect economic growth. The outcomes of this study hold significant policy ramifications in terms of prioritizing reformation and investment towards specific sectors to foster capital infusion into renewable energy and energy efficiency projects and initiatives, consequently advancing sustainable economic growth.

Dynamic nexus between non-renewable energy consumption, economic growth and CO2 emission: A comparison analysis between major emitters

Non-renewable energy fosters economic growth, whilst simultaneously it serves as the primary source of carbon dioxide (CO2) emissions. Using data from the world's three major carbon emitters over the period 1980–2020, this paper adopts the non-linear autoregressive distributed lag (NARDL) approach to explore the dynamic nexus between energy consumption, economic growth and CO2 emissions. The results reveal that energy consumption matters for economic growth. From a short-term perspective, an increase in oil consumption positively impacts economic growth in the United States and India, whereas a negative shock solely affects China's economic growth. Regarding coal consumption, a positive shock only affects the US's economic growth, while China and India are more likely to be affected by a negative consumption shock. In the long run, the nexus between oil consumption and economic growth exhibits a similar asymmetric pattern in China and the United States. Concerning the effect of coal consumption on economic growth, only negative shocks count for China and positive shocks for the United States. The findings also identify various patterns of energy consumption on CO2 emissions. An increase in oil consumption, whether from a short- or long-run perspective, increases CO2 emissions in all three countries, while a decrease in oil consumption only mitigates CO2 emissions in China and the United States. There are more complicated patterns to the role of coal consumption in CO2 emissions. The results vary significantly from country to country; however, energy consumption has generally promoted economic growth as well as resulted in environmental issues that cannot be disregarded.

Ultrafast fabrication of nanospherical CoFe alloys for boosting electrocatalytic water oxidation

Developing a facile method for fabricating low-cost electrocatalysts to achieve high activity and stability toward oxygen evolution reaction (OER) becomes increasingly significant and urgent, due to the increasing consumption of non-renewable energy and consequent environmental problems. Herein, we demonstrate an ultrafast one-step potentiostatic electrodeposition method to fabricate advanced self-supporting CoFe alloy nanocatalysts for OER with only 40 s. The self-supporting CoFe alloys not only have unique pore channels for facilitating electrolyte diffusion and O2 releasing, but also possess high electrical conductivity for efficient charge transport. More importantly, rich amorphous area can continuously provide more active sites and a higher intrinsic activity of such sites. As a result, the optimized CoFe4:1 only needs the overpotential of 275 mV to achieve 10 mA cm−2 and small Tafel slope of 67.1 mV dec−1 in 1.0 M KOH. More importantly, the CoFe4:1 can also display outstanding durability with ignorable variation after CP test for 130 h. Furthermore, by correspondingly combining CoFe4:1 and Pt/C as an anode and a cathode for driving overall water splitting, a cell potential of only 1.60 V is required to achieve a current density of 10 mA cm−2, outperforming the state-of-the-art RuO2 ‖Pt/C couple.

An optimized grey model for predicting non-renewable energy consumption in China

The large amount of the non-renewable energy consumption in China brings certain challenges to the realization of carbon neutrality. This paper proposes a new grey model to predict the consumption of non-renewable energy in China. Based on the traditional grey model, the proposed model introduces two parameters to adjust the weight of information. Simultaneously, the intelligent optimization algorithm determines the optimal parameters. Three cases verify the feasibility of the model. The forecast results show that the amount of oil and natural gas consumption will continue to grow at a faster rate. By 2026, the amount of oil consumption will exceed 37 EJ (EJ) and natural gas consumption will exceed 22 EJ. Compared to 2021, oil consumption is up nearly 24%, and natural gas consumption is up more than 60%. While the consumption of coal will maintain a small up rate and gradually be leveled off.

ENERGY CONSUMPTION, ECONOMIC GROWTH AND DEVELOPMENT FINANCE: EVIDENCE FROM THE MIDDLE-INCOME COUNTRIES AND INNOVATIVE SOLUTIONS FOR EFFECTIVE ENERGY MANAGEMENT IN SMART CITIES

Although energy consumption is highly related to economic growth and development finance, a consensus on the direction of causality among them has not been reached. To this end, this study aims to investigate the causal effect of economic growth and development finance on energy consumption with a focus on middle-income countries over the period of 1994-2014. Our empirical highlights unidirectional causality running from economic growth to total energy consumption; unidirectional causality running from financial development to total energy consumption; unidirectional causality running from renewable energy consumption to financial development; and unidirectional causality running from non-renewable energy consumption to economic growth. Based on the empirical findings, the article proposes some innovative solutions for effective energy management in smart cities towards sustainable development, harmonizing economic development and energy consumption.