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Pollution havens in high-income emerging nations: Can green energy, financial development and environmental rules change this?
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101635
Xiaoqian Zhang , Linglu Linjin
This study investigates the role of green energy, financial development, and environmental regulations in addressing pollution havens within high-income emerging economies. While these nations benefit from rapid industrialization, they simultaneously face significant environmental challenges due to lax environmental standards and a tendency to attract pollution-intensive industries. This paper explores whether green energy adoption, financial sector advancements, and stringent environmental policies can mitigate such adverse impacts. Using data spanning from 1995 to 2023 and employing the Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) model, we analyze the experiences of BRICS countries—Brazil, Russia, India, China, and South Africa. The findings reveal that green energy adoption consistently correlates with a reduction in CO2 emissions across these nations, with China showing the most substantial improvement. Financial development positively contributes to environmental outcomes, particularly in South Africa, where access to green finance has spurred investments in sustainable projects. Moreover, environmental regulations have the most profound impact in Russia, where stringent policies have led to a measurable decline in pollution. Countries with higher levels of financial development and regulatory rigor also show stronger resilience against the inflow of pollution-intensive industries. The study highlights the critical role of a balanced approach that integrates economic growth with sustainability, suggesting that high-income emerging economies can leverage green energy and financial development, supported by robust policies, to transition away from pollution havens and toward a sustainable growth trajectory. A policy implication from these findings is that governments should prioritize investments in renewable energy and strengthen regulatory frameworks to attract cleaner industries.
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引用次数: 0
New Iran's Petroleum Contract “IPC” in comparison with Buy-back and Production Sharing Agreement
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101599
Mohammad Ali Bahmaei , Ehsan Afshar
Iran's Petroleum Contract “IPC” as a risk service contract, contains some important improvements and features in order to attract foreign investments and know-how to the long-standing oil industry of Iran. However, the views of international oil companies (“IOC”) towards contractual regimes in the oil sector show that they are often not eager to enter into the risk service-prone contracts and therefore, IPC is another alternative and a new opportunity for IOCs to invest in the oil industry in Iran, as compared with Production Sharing Agreement (PSA) and modern concessions.
According to the current laws and regulations, adopting PSA in Iran's oil industry is not strictly forbidden from legal point of view. Therefore, using a well-designed PSA, at least for some high risk and cost regions, may ensure the balance of interests between National Iranian Oil Company (“NIOC”) and foreign oil companies, without disrupting the existing IPC's framework. Thus, through JCPOA and removal of the sanctions, the Iranian authorities in the oil industry should be prepared to take more flexible and favorable attitude towards the petroleum contracts in Iran for the benefit of the country in compliance with the applicable laws and regulations.
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引用次数: 0
Synergistic nexus among energy security, energy equity and net electricity regions: Optimizing renewable energy integration and demand response for electrical supply systems
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101611
Jiang Wu , Yang Zhang , Akhtar Khan
This study optimizes a local renewable electricity supply system to integrate demand response tactics for power-intensive industry activities. We use a multi-phase optimization framework to design demand response scheduling for continuous production and identify the best configuration for a local energy generating and storage system. Our main goals are to reduce overall expenses and lessen the impact of global warming. Important elements, including electric batteries, local solar and wind power generation, and intraday and day-ahead electricity trading, are all thoroughly examined in the study. The results show that, although at a significant increase in cost, adding a battery system has the potential to lower emissions and enable large-scale market electricity trading. To attain ecological and economic sustainability within the environment, this research emphasizes optimizing industrial processes. It also highlights the value of demand response methods and the integration of renewable energy in reducing the effects of climate change. The results show that the systems of demand response, integrating the usage of some renewable energy types, can significantly contribute to improved ecological and economic performance in manufacturing plants. Such research also points to the need to guard policy environments that facilitate the deployment of RE and efficient AES infrastructures to support organizations’ sustainable industrial transformation.
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引用次数: 0
Policy pathways through FinTech and green finance for low-carbon energy transition in BRICS nations
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101603
Bo Dai , Jian Zhang , Nasir Hussain
This research examines the challenges faced by the BRICS countries, with a specific focus on issues surrounding energy production and environmental degradation. It investigates the potential of green financing and knowledge-for-money exchange to accelerate the transition to sustainable energy sources. This study employs sophisticated statistical methodologies to analyze the impact of economic variables, technological advancements, and ecological banking practices on the adoption of sustainable electricity utilization. The findings reveal a stable and positive relationship between the increase in the share of renewable energy sources, advancement in financial and technological sectors, the preservation of biological diversity, and the rational use of resources. The use of environmentally friendly energy solutions is particular sensitive to improvement in financial technology (FinTech) and sustainable funding sources. However, reliance on exploiting natural resources poses challenges to fully adopting low-carbon energy policies. This research underscores the critical importantance of environmental conservation and adocates for the use of sustainable funding mechanisms and financial innovation to implement effective policies for transitioning to low-carbon energy systems.
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引用次数: 0
Energy harvesting techniques for wireless sensor networks: A systematic literature review
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101617
Bernardo Yaser León Ávila , Carlos Alberto García Vázquez , Osmel Pérez Baluja , Daniel Tudor Cotfas , Petru Adrian Cotfas
Energy harvesting has emerged as a promising avenue for addressing the constraints imposed by battery lifespan in wireless sensor networks (WSNs), paving the way for more sustainable and autonomous operations. This paper presents a comprehensive and systematic literature review (SLR) that critically examines the latest advancements and methodologies in energy harvesting for wireless sensor networks (WSNs). The review encompasses the entire system architecture, including energy storage and power management systems. The review is based on bibliometric analysis and a detailed examination of an extensive collection of 196 peer-reviewed studies published between 2014 and 2023. The text provides a comprehensive assessment of diverse technologies, techniques, and mechanisms for extracting energy from environmental sources, including thermal, light, mechanical, radio frequency, chemical, and biological, to power a wireless sensor node device. Furthermore, the concepts of transducers, energy sources, and energy types are elucidated and defined, thus establishing a lucid framework for classifying and analyzing these techniques and technologies. Additionally, key trends, challenges, and future research directions are identified, emphasizing areas that require further exploration to advance the field, particularly in battery-less systems employing capacitors and supercapacitors.
{"title":"Energy harvesting techniques for wireless sensor networks: A systematic literature review","authors":"Bernardo Yaser León Ávila ,&nbsp;Carlos Alberto García Vázquez ,&nbsp;Osmel Pérez Baluja ,&nbsp;Daniel Tudor Cotfas ,&nbsp;Petru Adrian Cotfas","doi":"10.1016/j.esr.2024.101617","DOIUrl":"10.1016/j.esr.2024.101617","url":null,"abstract":"<div><div>Energy harvesting has emerged as a promising avenue for addressing the constraints imposed by battery lifespan in wireless sensor networks (WSNs), paving the way for more sustainable and autonomous operations. This paper presents a comprehensive and systematic literature review (SLR) that critically examines the latest advancements and methodologies in energy harvesting for wireless sensor networks (WSNs). The review encompasses the entire system architecture, including energy storage and power management systems. The review is based on bibliometric analysis and a detailed examination of an extensive collection of 196 peer-reviewed studies published between 2014 and 2023. The text provides a comprehensive assessment of diverse technologies, techniques, and mechanisms for extracting energy from environmental sources, including thermal, light, mechanical, radio frequency, chemical, and biological, to power a wireless sensor node device. Furthermore, the concepts of transducers, energy sources, and energy types are elucidated and defined, thus establishing a lucid framework for classifying and analyzing these techniques and technologies. Additionally, key trends, challenges, and future research directions are identified, emphasizing areas that require further exploration to advance the field, particularly in battery-less systems employing capacitors and supercapacitors.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101617"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Navigating the energy transition: Interplay of geopolitics, economic complexity, and environmental governance in OECD countries
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101624
Linhui Wu , Saddam Hussain
This research aims to determine, within this context, the influence of environmental governance, economic complexity, and geopolitical risks on energy transition in 20 OECD countries between 1990 and 2021. The current study is anchored on the Paris Agreement and COP27, which promotes clean energy (SDG 7) and environmental conservation (SDG 13). In this analysis, the new Mixed Multi-Quantile Regression (MMQR) model is used to mitigate slope heterogeneity and cross-sectional dependence because it accommodates heterogeneity in distinct phases of the energy transition. In addition, an asymmetric approach is employed to investigate the moderating role of geopolitical risk on the link between environmental governance, economic complexity, and energy transition. The main results of this research show that environmental governance significantly and positively affects energy transition at all quantiles, while economic complexity has a positive impact at some quantiles. However, their impacts tend to differ during the energy transition process. On the one hand, the interface between environmental governance and geopolitics presents potential support for the transition process. It creates difficulties for it, on the other hand. (3) Economic development positively correlates with energy transition because nations from the developed economy possess the ability and the resources to impact energy transition effectively. Nevertheless, when considering geopolitical risks, economic complexity turns out to be negative and contributes to the problem of energy transition. This work establishes that economic diversification and good ecological policies enable energy transition. The results are also validated by a panel Granger causality test that shows that environmental governance and economic complexity can improve the environment for accepting clean energy and its financial health. The research offers a policy guide for policymakers, managers, and investors operating in the global climate, geopolitical risk, conflicts, and renewable energy.
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引用次数: 0
Volatility spillovers and conditional correlations between oil, renewables and stock markets: A multivariate GARCH-in-mean analysis
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2025.101639
Wenxue Wang , Peter G. Moffatt , Zheng Zhang , Muhammad Yousaf Raza
We investigate linkages between three different markets: renewable energy (represented by a range of renewable energy ETFs); traditional energy (represented by crude oil ETF); and common stocks (represented by the S&P 500 Index ETF). We use daily data from 2008 to 2021. The econometric framework adopted is the VARMA-DCC-GARCH-in-mean model. We find that this framework is ideal because it allows us to identify the impact of uncertainty in one market on returns in another market, and also volatility spillovers, that is, the phenomenon of high uncertainty in one market spreading to other markets. Our key findings are as follows. Stock-market uncertainty influences traditional energy (negatively) and renewable energy (positively) at the mean level. Stock market volatility has a positive spillover effect on both conventional and renewable energies in the short-run, but these spillover effects are negative in the long-run. Our estimates of the time-paths of dynamic conditional correlations provide evidence that the renewable market is more heavily “financialized” than the traditional energy market, and moreover that the strong financialization of renewables is robust to financial crises.
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引用次数: 0
Modeling and managing residential energy demand for a low-carbon future
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101610
Chang Zhang , Mirzat Ullah , Hind Alofaysan , Hakimjon Hakimov , Sophia Audrey
Achieving a decarbonized society requires balancing two critical and seemingly conflicting objectives: reducing energy consumption and ensuring energy demand flexibility to adapt to the variability of renewable energy production. This study introduces "energy demand science" as a multidisciplinary field to address these challenges, focusing on the residential sector, which significantly impacts energy use due to occupant behavior and lifestyle. Using a comprehensive review of literature and advanced modeling techniques, this research explores mechanisms driving energy demand. Key results show that energy demand can be reduced by up to 40 % by 2050 through lifestyle adjustments, urbanization, and innovative technologies, aligning with global warming targets below 1.5 °C. Advanced modeling techniques and high-resolution data analyses were employed to explore mechanisms driving energy demand, supported by historical data from 1970 to present, incorporating advancements in IoT and smart metering technologies. The results highlight the importance of integrating technological, human, natural, and socio-economic factors to achieve a sustainable reduction in energy use while maintaining flexibility. Policy implications emphasize the need for holistic, interdisciplinary strategies to enable efficient demand-side management, enhance renewable energy integration, and align energy consumption with decarbonization goals.
{"title":"Modeling and managing residential energy demand for a low-carbon future","authors":"Chang Zhang ,&nbsp;Mirzat Ullah ,&nbsp;Hind Alofaysan ,&nbsp;Hakimjon Hakimov ,&nbsp;Sophia Audrey","doi":"10.1016/j.esr.2024.101610","DOIUrl":"10.1016/j.esr.2024.101610","url":null,"abstract":"<div><div>Achieving a decarbonized society requires balancing two critical and seemingly conflicting objectives: reducing energy consumption and ensuring energy demand flexibility to adapt to the variability of renewable energy production. This study introduces \"energy demand science\" as a multidisciplinary field to address these challenges, focusing on the residential sector, which significantly impacts energy use due to occupant behavior and lifestyle. Using a comprehensive review of literature and advanced modeling techniques, this research explores mechanisms driving energy demand. Key results show that energy demand can be reduced by up to <strong>40 % by 2050</strong> through lifestyle adjustments, urbanization, and innovative technologies, aligning with global warming targets below 1.5 °C. Advanced modeling techniques and high-resolution data analyses were employed to explore mechanisms driving energy demand, supported by historical data from 1970 to present, incorporating advancements in IoT and smart metering technologies. The results highlight the importance of integrating technological, human, natural, and socio-economic factors to achieve a sustainable reduction in energy use while maintaining flexibility. Policy implications emphasize the need for holistic, interdisciplinary strategies to enable efficient demand-side management, enhance renewable energy integration, and align energy consumption with decarbonization goals.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101610"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integrating artificial intelligence in energy transition: A comprehensive review
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101600
Qiang Wang, Yuanfan Li, Rongrong Li
The global energy transition, driven by the imperative to mitigate climate change, demands innovative solutions to address the technical, economic, and social challenges of decarbonization. Artificial intelligence (AI) has emerged as a transformative technology in this domain, offering tools to enhance each link in the energy system. This comprehensive review examines the current state of AI applications across key energy transition domains, including renewable energy deployment, energy efficiency, grid stability, and smart grid integration. The study identifies the pivotal role of AI in accelerating the adoption of intermittent renewable energy sources like solar and wind, managing demand-side dynamics with advanced forecasting and optimization, and enabling energy storage and distribution innovations such as vehicle-to-grid systems and hybrid energy solutions. It also highlights the potential of AI to advance energy system stability, address cybersecurity risks, and promote equitable and sustainable energy systems. Despite these advancements, challenges remain, including data quality and accessibility, system interoperability, scalability, and concerns regarding privacy and ethics. By synthesizing recent research and practical case studies, this paper provides insights into the opportunities and limitations of AI-driven energy transformation and offers strategic recommendations to guide future research, development, and policy-making. This review highlights that AI is not just a tool but a transformative catalyst, reshaping global energy systems into equitable, resilient, and sustainable frameworks, essential for achieving a net-zero future.
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引用次数: 0
Driving energy transition in BRI nations: The role of education, globalization, trade liberalization, and financial deepening – A comprehensive linear and nonlinear approach
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101620
Md Qamaruzzaman
This study investigates the drivers of energy transition among Belt and Road Initiative (BRI) countries, focusing on the roles of education, globalization, trade openness, and financial development. With the shift toward sustainable energy as a global priority, understanding these influences within BRI nations is crucial to formulating effective policies for renewable energy adoption. Using panel data from 46 BRI countries spanning 2000–2021, we employ advanced econometric techniques, including the Continuously Updated Fully Modified (CUP-FM) and Continuously Updated Bias-Corrected (CUP-BC) models, to assess both linear and nonlinear effects. Results show that education significantly promotes renewable energy by fostering skills and environmental awareness. Globalization and trade openness also support energy transition by facilitating the exchange of green technologies and sustainable practices, while financial development enables investment in renewable infrastructure. This research fills a notable gap in energy transition literature, providing evidence from diverse economic contexts and offering actionable insights for policymakers. We recommend prioritizing investment in education to enhance awareness, fostering international cooperation to facilitate technology transfer, and developing robust financial systems to support renewable energy projects. These strategies are essential for advancing the energy transition and achieving climate goals within BRI nations.
{"title":"Driving energy transition in BRI nations: The role of education, globalization, trade liberalization, and financial deepening – A comprehensive linear and nonlinear approach","authors":"Md Qamaruzzaman","doi":"10.1016/j.esr.2024.101620","DOIUrl":"10.1016/j.esr.2024.101620","url":null,"abstract":"<div><div>This study investigates the drivers of energy transition among Belt and Road Initiative (BRI) countries, focusing on the roles of education, globalization, trade openness, and financial development. With the shift toward sustainable energy as a global priority, understanding these influences within BRI nations is crucial to formulating effective policies for renewable energy adoption. Using panel data from 46 BRI countries spanning 2000–2021, we employ advanced econometric techniques, including the Continuously Updated Fully Modified (CUP-FM) and Continuously Updated Bias-Corrected (CUP-BC) models, to assess both linear and nonlinear effects. Results show that education significantly promotes renewable energy by fostering skills and environmental awareness. Globalization and trade openness also support energy transition by facilitating the exchange of green technologies and sustainable practices, while financial development enables investment in renewable infrastructure. This research fills a notable gap in energy transition literature, providing evidence from diverse economic contexts and offering actionable insights for policymakers. We recommend prioritizing investment in education to enhance awareness, fostering international cooperation to facilitate technology transfer, and developing robust financial systems to support renewable energy projects. These strategies are essential for advancing the energy transition and achieving climate goals within BRI nations.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101620"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Energy Strategy Reviews
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