Fuel Energy Consumption Research Articles

Impact of Carbon Tax on Renewable Energy Development and Environmental–Economic Synergies

Global warming caused by greenhouse gas emissions has become a worldwide environmental problem, posing a great threat to human survival. As the world’s largest emitter of carbon dioxide, China has pledged to reach peak carbon emissions by no later than 2030 and carbon neutrality by 2060. It is found that a carbon tax is a powerful incentive to reduce carbon emissions and promote an energy revolution, but it may have negative socio-economic impacts. Therefore, based on China’s 2020 input–output table, this paper systematically investigates the impacts of a carbon tax on China’s economy, carbon emissions, and energy by applying a computable general equilibrium model to determine the ideal equilibrium between socio-economic and environmental objectives. Based on energy use characteristics, we subdivided the energy sector into five major sectors: coal, oil, natural gas, thermal power generation, and clean power. The results show that when the carbon emission reduction target is less than 15%, that is, when the equilibrium carbon tax price is less than 54 yuan/ton, the implementation of a carbon tax policy can significantly reduce carbon emission and fossil fuel energy consumption, while only slightly reducing economic growth rate, and can achieve the double dividend of environment and economy. Moreover, because the reduction of coal consumption has the greatest impact on reducing carbon emissions, the ad valorem tax rate on coal after the carbon tax is imposed is the highest because coal has the highest carbon emission coefficient among fossil fuels. In addition, as an emerging clean energy source, hydrogen energy is the ideal energy storage medium for achieving clean power generation in power systems. If hydrogen energy can be vigorously developed, it is expected to greatly accelerate the deep decarbonization of power, industry, transportation, construction, and other fields.

Fuel injection rate variation and energy consumption of solenoid in a diesel solenoid injector with injector driving current patterns

Fuel injection rate variation and energy consumption of solenoid in a diesel solenoid injector with injector driving current patterns

Green growth a pathway to sustainable growth in developed countries

The quest by countries to drive to maturity stage of development especially by industrialize nations continued to impact on green economy despite policy framework and strategy implementation to curtail the activities. Emissions endanger the existence of secured environment. It is in the light of this literatures have concentrated on the area. This study seeks to investigate the determinants of green growth in 13 developed countries spanning 2010 to 2020. This study employed the ordinary least square regression with robust option, country specific effect and time fixed option, fixed effect and random effect estimation with time varying effect estimation options. This study also employed the generalized square regression technique with several robust option and post estimation test. The result of the study posit that CO2 emissions from gaseous fuel consumption which is (% of total) has a positive and significant relationship with green growth indicating that the consumption of this energy increases green growth. The coefficient Renewable energy consumption (% of total final energy consumption) revealed a positive effect on green growth. The coefficient Fossil fuel energy consumption (% of total energy) revealed a negative effect on green growth. In addition, Combustible renewable and waste (% of total energy) posit a negative relationship on green growth. A caveat for policy shows that in spite strategies and deliberate policy reform put in place to mitigate the effect on green growth, much is needed in terms of investment in clean energy. No doubt deliberate policy reform need to strengthen and enforced in this respect cannot be underscored

Comparative Analysis of the Relationship between Renewable Energy Adoption, Fossil Fuel Energy Consumption, and CO<sub>2</sub> Emission in the United States and China

Comparative Analysis of the Relationship between Renewable Energy Adoption, Fossil Fuel Energy Consumption, and CO<sub>2</sub> Emission in the United States and China

Effect of geopolitical risk on energy consumption policy: New empirical evidence from BRICS

This study investigates the impact of geopolitical risk (GPR) on energy consumption. For empirical analysis, we utilize the dataset of BRICS nations spanning 25 years from 1998 to 2022. We employ three econometric models, namely fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and autoregressive distributed lag (ARDL), to analyze the relationships between GPR and energy consumption. Our empirical findings reveal several significant insights. Firstly, we observe a substantial negative influence of GPR on both fossil fuel energy consumption (FEC) and total energy consumption (TEC). This suggests that higher levels of GPR are associated with reduced utilization of fossil fuels and overall energy consumption within the BRICS countries. Conversely, we identify a significant positive effect of GPR on renewable energy consumption (REC). This implies that, as GPR rises, there is a corresponding increase in the adoption and usage of renewable energy sources. Furthermore, our analysis uncovers the presence of asymmetric effects pertaining to other key determinants of energy consumption, including FDI inflow, economic growth, banking sector development, and inflation rate. This study offers fresh empirical evidence on the intricate interplay between GPR and energy consumption in BRICS nations, shedding light on the significant impacts of GPR and the nuanced effects of various economic factors. These findings have important implications for policymakers and stakeholders seeking to navigate energy policy decisions in a geopolitically dynamic world.

A 4E Analysis of a Solar Organic Rankine Cycle Applied to a Paint Shop in the Automotive Industry

In a conventional automotive manufacturing plant, the paint shop alone can represent 36% of the total energy consumption, making it the most demanding area in terms of electricity and fossil fuel energy consumption. This study explores the possibility of decentralizing the production of electrical power and heat simultaneously, using an Organic Rankine Cycle (ORC) system integrated with a Parabolic Trough Collector (PTC) in a paint shop. To date, no similar system has been explored or implemented by the automotive industry. To increase the efficiency of the integrated system, wasted heat generated during the paint manufacturing process is recovered and used to pre-heat the organic fluid in the ORC system. A 4E analysis (Energy, Exergy, Economic, and Environmental) is conducted to determine the practical viability of the proposed system. When applied to the southern region of the USA, this system’s installed capacity is projected to be 11 times higher than the two unique SORC pieces of equipment currently running in Louisiana and Florida. The goals are to reduce the reliance on external primary energy sources and decrease the carbon emission footprint from production activity. The system is evaluated for a location in Alabama, USA. The designed SORC, using toluene, can produce 712.2 kWel net and 13,132 kg/h of hot water, with an overall energy efficiency of 31.02%; exergy efficiency of 34.23; and ORC efficiency of 27.70%. This leads to an electrical energy saving of 5.9% for the manufacturing plant. The regenerative thermal oxidizer (RTO) heat exchanger, the secondary heat source of the system, has the highest exergy destruction—3583 kW. The system avoids the emission of 4521 tCO2 per year. A payback period of 10.16 years for the proposed system is estimated. Considering a planning horizon of 10 years, the investment in the system is also justified by a benefit–cost analysis.

The role of financial inclusion and tourism in tackling environmental challenges of industrialization and energy consumption: Redesigning Sustainable Development Goals policies

AbstractThe Next 11 (N‐11) countries are facing many challenges in achieving the objectives of Sustainable Development Goals (SDGs), as preserving environmental quality has become a major challenge for them. Specifically, achieving SDG 3, SDG 7, SDG 9, and SDG 13, the current research scrutinizes the influence of industrialization, tourism, and renewable and fossil fuel energy consumption with the moderating role of financial development on the ecological footprint in the N‐11 countries during 1995–2018. By testing all nine hypotheses through the augmented mean group, common correlated effects mean group estimators, and the Dumitrescu and Hurlin causality approach, various interesting findings are discovered. The findings verified that industrialization, tourism, and non‐renewable energy play major roles in driving environmental pollution. However, renewables and financial development increase environmental quality. Moreover, the interacting role of financial expansion with industrialization and non‐renewables significantly deteriorates the environment. In contrast, the moderating role of financial development with tourism and renewable energy protects environmental excellence. In addition, the growth hypothesis is discovered from tourism and renewables to ecological footprint, and the feedback hypothesis is discovered between industrialization, financial development, and ecological footprint. Following the empirical findings, we recommend several policy implications to address the objectives of SDG 3, SDG 7, SDG 9, and SDG 13.

Implementasi Pemanfaatan Pembangkit Listrik Tenaga Surya (PLTS) untuk Peningkatan Produktivitas Budidaya Ikan dan Pertanian di Kalurahan Sumbersari

Kalurahan Sumbersari, a border village in Sleman Regency, possesses significant potential in natural resources, particularly in agriculture and fisheries. However, the village faces substantial challenges, including inadequate aeration systems for fishponds and irrigation difficulties for rice fields. This community service initiative aims to address these issues by implementing solar energy-based solutions. The activities involved the design of an optimized aeration system for fishponds, the strategic installation of water pumps to facilitate rice field irrigation, and the construction of a Solar Power Plant (PLTS). The adoption of solar energy not only aims to meet the electricity needs but also contributes to Indonesia's achievement of the Sustainable Development Goals (SDGs), particularly Goal 7, which focuses on Affordable and Clean Energy. The success of this project hinged on the active participation of the local community. Socialization and training sessions were conducted to ensure understanding of the aeration systems, water pump operations, and PLTS maintenance. It is anticipated that the implementation of these activities will resolve the fish health issues and irrigation difficulties, thereby enhancing fish and agricultural production in Kalurahan Sumbersari. In addition to these direct benefits, the use of renewable energy is also expected to mitigate the negative environmental impacts associated with fossil fuel energy consumption.

Investigating the role of energy mix and sectoral decomposition on environmental sustainability in selected European countries

This study investigates the interactions between per capita CO2 emissions, economic growth, energy consumption (renewable and nonrenewable), agricultural, industrial, and services value-added, and trade openness across a panel of 23 European countries from 1995 to 2022. The empirical analysis is based on panel data econometric approaches (fixed effects, fully modified ordinary least squares, dynamic ordinary least squares, quantile regression models). Empirical findings reveal that economic growth and renewable energy consumption negatively impact CO2 emissions across all models, highlighting its role as a crucial mitigating factor in reducing air pollution. Conversely, fossil fuel energy consumption and trade openness positively influence CO2 emissions, underscoring the urgent need to transition towards more sustainable sources and trade strategies. Agriculture, industry, and services value-added are also significantly associated with air pollution, indicating areas requiring targeted interventions to curb emissions effectively. These empirical insights contribute to the literature and provide actionable plans for policymakers.

The Impact of Fossil Fuel Energy, Technological Innovation and Globalization on Tourism Inflows of Top Ten Most Visited Countries

Increased uses of fossil fuel consumption, globalization, and tourism activities have significant adverse effects on the sustainability of our ecosystem. The present study takes into account the top 10 most visited nations by tourists to examine the impact of fossil fuel energy consumption, technological innovation, foreign direct investment (FDI), economic growth, and globalization on tourism inflows from 2008 to 2022.. Choice of appropriate technique for empirical testing is based on the PP-Fisher, ADF Fisher, IPS, and LLC unit root tests. Due to mixed order of integration of variables, the Panel ARDL is more reliable for econometric investigation. The findings of Panel ARDL reveal that the most significant contributing factors towards growth in tourism are technological innovation, the globalization index, growth in gross domestic product, and use of fossil fuels as an energy source. These results imply that advancements in technology, increased globalization trends, and economic growth are facilitating the growth in tourism activities. Likewise, non-renewable energy consumption is significantly linked to tourism growth in these countries which exhibits that these governments are relying upon fossil fuel consumption to meet the energy demand for tourism activities and to fuel economic growth. Though, FDI is having a detrimental effect on tourism inflows in the top 10 most frequently visited nations. This outcome entails that expanded industrialization and economic footprint negatively influence the ecological environment which adversely affects tourism inflows. The policy implications of this research assert that the development of clean and renewable energy technologies is essential for the promotion of sustainable economic growth, promote eco-tourism in these countries. Similarly, smart manufacturing and environment friendly production can alleviate the negative effects of ecological footprint on tourism inflows.

Exploring the Impact of Women Governance on CO2 Emissions in the European Union and Central Asia

The study is novel to contribute to the literature investigating the relationship among CO2 emissions, women governance, economic development, fossil fuel energy consumption and renewable energy consumption, using a balanced panel dataset of 27 European Union and 4 Central Asian countries over the period 1996-2020. As econometric tools, panel quantile and threshold regression models are employed. Overall, the quantile results document that women governance help to mitigate climate change both in European Union and Central Asia. Moreover, threshold findings suggest that women governance negatively impact on CO2 emissions in European Union and Central Asia when economic growth is higher than 9.903 percent. Policy implications are proposed to enhance women governance in European Union and Central Asia.

How do inflation rate and energy alternatives influence environmental quality? A BRICS analysis

In the recent decade, the topic of environmental sustainability and its determinants has gained the attention of environmental policy analysts and academicians. However, some crucial factors that can affect environmental sustainability have not yet been explored in the literature. In this essence, the current study aims to investigate the mediating impact of energy alternatives on the liaison between inflation rate and environmental quality. The empirical analysis was conducted on 24-years data of BRICS countries ranging from 1997 to 2020. The study employed the DOLS and FMOLS estimation models to run the regression among variables and check the robustness by employing ARDL model. The empirical results first reveal the negative significant effect of the inflation rate on CO2 emissions. In the second channel, the inflation rate has an inverse impact on fossil fuel energy while a direct impact on consumption of renewable energy. Third, fossil fuel energy consumption positively determines the CO2 emissions while renewable energy consumption shows a declining trend with CO2 emissions. Lastly, the empirical analysis confirms the mediating impact of energy alternatives in the nexus between inflation rate and environmental quality. In view of results, the policymakers are directed to utilize the inflation rate and energy alternatives as policy tools for managing the environmental quality. This study implies the innovative intuitions regarding the role of energy alternatives and inflation rate in pollution mitigation.

Assessing inflation and greenhouse gas emissions interplay via neural network analysis: a comparative study of energy use in the USA, EU, and China

This study examines the relationship between inflation and greenhouse gas (GHG) emissions in three major economies: the United States of America (USA), the European Union (EU), and China. The analysis spans from 1960 to 2021 for the USA and EU, and from 1971 to 2021 for China. A feedforward neural network model, optimized using the Levenberg–Marquardt backpropagation algorithm, was employed to predict GHG emissions based on annual inflation rates and fossil fuel energy consumption. The study integrates historical data on inflation trends with GHG emissions, measured in CO2 equivalents, and fossil fuel energy consumption, expressed as a percentage of total energy use. This multidimensional approach allows for a nuanced understanding of the economic-environmental interplay in these regions. Key findings indicate a nonlinear response of GHG emissions to inflation rates. In the USA, GHG emissions begin to decrease when inflation rates exceed 4.7%. Similarly, in the EU, a steep reduction in emissions is observed beyond a 7.5% inflation rate. China presents a more complex pattern, with two critical inflection points: the first at a 4.5% inflation rate, where GHG emissions start to decline sharply, and the second at a 7% inflation rate, beyond which further increases in inflation do not significantly reduce emissions. A critical global insight is the identification of a uniform inflation rate, around 4.4%, across all regions, at which GHG emissions consistently increase by 1%, hinting at a shared global economic behavior impacting the environment. This discovery is vital for policymakers, emphasizing the need for tailored regional strategies that consider unique economic structures, energy policies, and environmental regulations, alongside a coordinated global approach.

Adoption of renewable energy to phase down fossil fuel energy consumption and mitigate territorial emissions: evidence from BRICS group countries using panel FGLS and panel GEE models

The recognition of climate change as real and unprecedented has been acknowledged by global communities. Furthermore, fossil fuel energy consumption and territorial emissions are identified as major drivers of climate change. Data collected from the World Bank for BRICS (Brazil, Russia, India, China, and South Africa) group of countries for the period from 1990 to 2018, and analyzed using Panel FGLS and Panel GEE models, revealed an inverted U-shaped relationship between GDP per capita and its square with fossil fuel energy consumption in BRICS countries. However, this relationship was not observed with territorial emissions. It is indicated that the BRICS group of countries is making efforts to reduce fossil fuel energy consumption, but investment in green technology is insufficient to reduce territorial emissions. Therefore, it is recommended that climate policies need to be more aggressively implemented to support investment in clean and green energy technology.

Political factors, carbon emissions, and life expectancy in India: Implications for the Sustainable Development Goal 3.

This study examines the nexus among political factors, carbon emissions, and life expectancy between 1990 and 2020 in India. Data for this study was extracted from the World Bank Development indicators, after which it was subjected to econometrics analysis. The results showed that on averages, between 1990 and 2020, India experienced a life expectancy around 65 years. Fossil fuel energy consumption represents a small proportion of total energy consumption in India. However, carbon emissions and life expectancy have a positive and significant relationship. Fossil fuel usage and life expectancy possess a significantly positive relationship (FFEC = 0.044128, P-value = 0.0023) Moreover, government effectiveness and life expectancy have a significant direct relationship. Political stability and life expectancy have a significant negative relationship in the country. We conclude that policymakers in India should ensure that carbon emissions and fossil fuel usage in India do not pose a threat to life expectancy. Efforts should be put in place by policymakers in India to increase life expectancy , a strategic component of SDG 3- good health and well being for all at all ages, by ensuring stable political climate, good governance and efficient health enhanced public policies.

Renewable energy and CO2 emissions: Does human capital matter?

Numerous investigations have extensively examined the effects of renewable energy on CO2 emissions. However, a majority of previous studies have overlooked the potential nonlinear effects that renewable energy may have on CO2 emissions. These nonlinear effects could be influenced by various factors, including human capital. Regrettably, the existing literature has not adequately explored the role of human capital in this context. Therefore, the objective of this study was to investigate the impacts of different levels of human capital on the relationship between renewable energy and CO2 emissions. To achieve this objective, the study employed a dynamic threshold panel data model encompassing 67 countries, both developed and developing, over the period from 1999 to 2019. The empirical findings revealed a negative impact of renewable energy on CO2 emissions. The study found that there is a threshold effect associated with the human capital index. For developed countries, the threshold value was 3.407, while for developing countries, it was 2.949. When the human capital index exceeded these thresholds, the impact of renewable energy on reducing CO2 emissions was significantly greater. In developed countries, the impact was 4.75 times more effective, and in developing countries, it was 5 times more effective when the human capital index surpassed the threshold. The results also show human capital had a direct negative effect on CO2 emissions. Additionally, the study found that lagged CO2 emissions, fossil fuel energy consumption, population density, GDP, and industrial activities all exerted positive effects on CO2 emissions.

Assessing the Intensity of Economic Progress, Industrialization,Energy Use on Environmental Degradation

This study intensifies the interrelationship between environmental downfall, economic and industrial enhancement, renewable and non-renewable energy consumption in the period of 1997 to 2018 for the G-7 and selected five MENA countries. The paper intends to explore how renewable energy, fossil fuel, electricity generation, GDP, and industrialization affect the environmental pollution. For a dynamic panel data analysis, some statistical methods have been utilized, including Slope Homogeneity (SH), Cross Section Dependence (CSD), Cross-Section Im-Pesaran-Shin (CIPS), and Cross-Section Augmented Dickey-Fuller (CADF) of the second generation unit root tests, and the second generation (Westerlund-2007) CO-integration test, both Feasible Generalized Least Squares (FGLS), Panel-Corrected Standard Error (PCSE), and dynamic generalized method of moments (d-GMM) panel estimation approach have been applied. Feasible generalized least square (FGLS) shows that if GDP, fossil fuel energy consumption, industrialization, and electricity generation, increase by 1% then CO2 emission increases by 79.8%, 5.3%, 10.37%, and 8.26% respectively. If renewable energy increases by 1% CO2 emission decreases by 6.56%. When GDP growth rises, there is a corresponding increase in environmental pollution within industrialized economies. This demonstrates a positive correlation between GDP, industrialization, and CO2 emissions, which means that as the economy grows, environmental degradation will continue to worsen over time. Therefore, concerned parties should take proper policy steps to protect environment in industries and towards sustainable growth.

How does the opening of high-speed rail drive energy restructuring? New micro evidence from China

Against the dual backdrop of China vigorously promoting high-speed railways (HSR) construction and establishing an ecological civilization system, HSR as urban transportation infrastructure, is currently gaining growing attention from the academic community due to its environmental benefits as well as its effects in energy conservation and emission reduction. In this context, this research treats the initiation of HSR as a quasi-natural experiment, meanwhile empirically examining the effect of HSR on energy structure restructuring and exploring the micro-level channels through which it operates. The empirical results validate the reduction effect of HSR opening on fuel energy consumption of industrial enterprises, especially the usage of fuel coal. This highlight remains valid across a series of robustness tests. Moreover, it is evident that the “driving effect” of enterprise technological innovation capability and the “industrial upgrading effect” of enterprise relocation are effective transmission pathways in the process of HSR opening influencing the adjustment of energy consumption structure. Moreover, the unique characteristics of enterprise, industry, and region introduce a certain degree of heterogeneity. The low-energy-consumption effect of HSR is more pronounced in high-carbon industry enterprises, technology-intensive enterprises, firms engaged in innovation pilot cities, small to the medium-sized city and resource-based city. This paper provides a new perspective on energy structure adjustment, contributing to offering solid experiences and references for environmental governance in China and other emerging economies.

Does energy consumption matter for climate change in Africa? New insights from panel data analysis

Africa, abundant in natural resources, faces growth challenges due to widespread energy poverty and heightened biofuel use with severe environmental impacts. Recognizing the connection between energy consumption and climate change is crucial for implementing sustainable solutions and establishing guidelines for future energy practices amidst the adverse effects of climate change on the continent's ecosystem. To this effect, the present study examines the effect of energy consumption on climate change in African countries from 2004 to 2019. Employing the Discroll and Kraay estimation technique and the Generalized Method of Moment on secondary data, the results indicate that Energy Use as kg of oil, Fossil Fuel Energy Consumption, and Energy Depletion positively and significantly affect Climate change. At the same time, Renewable Energy Consumption reveals a correcting effect on climate variations in Africa. The results are valid for other climate change measures and are robust to endogeneity control. Based on the results, applicable economic policies are proposed regarding the efficient and optimum use of various energy sources for Africa's clean and sustainable climatic conditions.

Mineral resource extraction and resource sustainability: Policy initiatives for agriculture, economy, energy, and the environment

The depletion of minerals is a growing problem that significantly impacts the availability of natural resources. Mineral resource extraction plays a vital role in the global economy, providing essential raw materials for various sectors such as agriculture, energy, and the environment. The extraction of minerals is critical to sustainability, but it does come with risks and challenges, such as environmental degradation. This paper examines the nexus of mineral resource extraction and sustainability in China from 1971 to 2019, using GDP per capita, fossil fuel energy consumption, and CO2 emissions as moderator variables. The result explains that mineral depletion, agriculture value-added, and economic growth are positively associated with natural resources. At the same time, fossil fuel energy consumption and CO2 emissions are negatively related to natural resources. Overall, policy initiatives focusing on mineral resource extraction and resource sustainability are necessary to ensure the long-term health of agriculture, economy, energy, and the environment. By instituting regulations and incentives that support sustainable practices, we can provide the responsible use of mineral resources and preserve the domain. By investing in research and development, China can ensure the continued availability of mineral resources while promoting sustainable energy sources and protecting the environment.