Energy Economics最新文献_第6页

How does FinTech promote the low-carbon transformation of energy consumption in China? 金融科技如何促进中国能源消费的低碳转型？

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-04 DOI: 10.1016/j.eneco.2025.108704

Wei Zhou , Yan Chen , Cesheng Zhang

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引用次数: 0

Bridging the energy gap: Macro-drivers of access-based energy poverty in West Africa 弥合能源差距：西非能源贫困的宏观驱动因素

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-03 DOI: 10.1016/j.eneco.2025.108707

Alfusainey Touray , Yu Hao

{"title":"Bridging the energy gap: Macro-drivers of access-based energy poverty in West Africa","authors":"Alfusainey Touray , Yu Hao","doi":"10.1016/j.eneco.2025.108707","DOIUrl":"10.1016/j.eneco.2025.108707","url":null,"abstract":"<div><div>In 2022, approximately 694 million people worldwide lacked access to electricity, with 29 % living in West Africa. This elevated level of access-based energy poverty (<strong>AB-EP</strong>) highlights the need to understand its driving factors in the region. While micro-level studies on AB-EP are abundant, macro-level assessments are limited, particularly for West Africa. Furthermore, existing studies often lack robust methods for constructing AB-EP indices and handling panel data. This study addresses these gaps by exploring the impact of macroeconomic factors on AB-EP in West Africa. We utilized a new AB-EP index containing clean energy and technology and a panel-corrected standard error estimator to address data issues. The findings demonstrate that domestic macroeconomic factors such as energy intensity, urbanization, and income are the primary causes of AB-EP in West Africa. In contrast, external macroeconomic factors (official development assistance, external debt, trade, remittances, and foreign direct investment) have a negligible influence. This result underscores the need for local solutions. Policymakers should focus on sustainable urban development, improving energy efficiency, and enhancing per capita income, as these factors contribute significantly to reducing AB-EP. Furthermore, trade and financial inflow policies should strategically be directed to enhance West Africa's energy access.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108707"},"PeriodicalIF":13.6,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fiercer competition for greater savings: Policy mix, competition, and spatial analysis of fuel tax reduction effects 更激烈的竞争，更大的节省：政策组合，竞争，以及燃油税减免效果的空间分析

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-03 DOI: 10.1016/j.eneco.2025.108627

Byunggeor Moon

引用次数: 0

Who does not advance loses ground: Green investment as a strategic response by small and medium-sized enterprises to economic policy uncertainty 不进则退：绿色投资是中小企业对经济政策不确定性的战略回应

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-03 DOI: 10.1016/j.eneco.2025.108712

Shuai Yue, Hamish D. Anderson, Jing Liao

引用次数: 0

Counting the carbon burden: Evidence from municipal bonds in China 计算碳负担：来自中国市政债券的证据

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-03 DOI: 10.1016/j.eneco.2025.108690

Yi Li , Yang Li , Zhaohua Wang

引用次数: 0

On spot revenues, capital structure and trade off theory: Analysing investment risk for contracted renewables 现货收入、资本结构和交易理论：分析签约可再生能源的投资风险

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-03 DOI: 10.1016/j.eneco.2025.108703

Nicholas Gohdes

{"title":"On spot revenues, capital structure and trade off theory: Analysing investment risk for contracted renewables","authors":"Nicholas Gohdes","doi":"10.1016/j.eneco.2025.108703","DOIUrl":"10.1016/j.eneco.2025.108703","url":null,"abstract":"<div><div>In decarbonising power systems, shifting dynamics require that investors lend careful consideration when structuring plant revenues – or risk violating the constraints of private capital markets. In Australia's National Electricity Market, new variable renewable energy (VRE) plant was traditionally ∼100 % revenue contracted via power purchase agreement (PPA) to facilitate bankability and provide stable returns. However, sharply falling VRE costs have enabled the emergence of a new asset class, viz. VRE with ‘semi-merchant’ cashflows, comprising both PPA contracted and spot market (i.e. merchant) exposed revenue streams. This blended revenue mix, which has dominated new entry in Australia, raises questions vis-à-vis capital structure optimisation as both investors and financiers grapple with the re-introduction of spot revenue variability. In this paper, stochastic modelling techniques are applied to stress-test new entrant wind plant cashflows under a full spectrum of PPA cover levels and within capital market (i.e. project finance) constraints. Under ordinary market conditions, a run-of-plant PPA with at least ∼50 % revenue cover is found sufficient to mitigate technical default risk and secure commercial debt levels. However, the relationship between PPA cover and default (i.e. distress cost) risk is also found to be decidedly non-linear, with some semi-merchant structures capable of supporting debt levels equivalent to 100 % PPA plant without introducing material default risk – an unexpected finding. Presented results identify the limits of a PPA to extract equity capital risk from a stand-alone VRE asset and, by implication, the limits of cost of capital optimisation in line with Modigliani and Miller's seminal writings on capital structure.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108703"},"PeriodicalIF":13.6,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Interconnectedness between electricity and artificial intelligence-based markets during the crisis periods: Evidence from the TVP-VAR approach” [Energy Economics Volume 139, November 2024, 107885] “危机期间电力和基于人工智能的市场之间的互联性：来自TVP-VAR方法的证据”的勘误表[能源经济学卷139，十一月2024,107885]

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-02 DOI: 10.1016/j.eneco.2025.108701

Imran Yousaf , Obaika M. Ohikhuare , Yong Li , Yanshuang Li

引用次数: 0

Collaborative regional pollution control and industrial land acquired by polluting firms in border areas–evidence from the air pollution joint prevention and control policy in China 区域污染协同控制与边境地区污染企业工业用地征用——来自中国大气污染联防联控政策的证据

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-01 DOI: 10.1016/j.eneco.2025.108709

Kaixia Zhang , Weibing Li

{"title":"Collaborative regional pollution control and industrial land acquired by polluting firms in border areas–evidence from the air pollution joint prevention and control policy in China","authors":"Kaixia Zhang , Weibing Li","doi":"10.1016/j.eneco.2025.108709","DOIUrl":"10.1016/j.eneco.2025.108709","url":null,"abstract":"<div><div>Unclear environmental jurisdictions and weak enforcement in administrative border areas encourage polluting firms to cluster there by acquiring land to centralize production. Local governments, motivated by fiscal revenue, also sell land to these firms. Reducing such clustering is crucial for lowering border pollution and promoting high-quality development. Using China's air pollution joint prevention and control (AJPC) pilot policy as a quasi-natural experiment and a multi-period DID approach, this study finds this collaborative regional pollution control policy significantly curbs industrial land acquisition by air-polluting firms in border areas, with spillover effects on other polluters. Mechanism tests reveal that the policy operates through both supply and demand channels: it alters local governments' land supply incentives by reducing allocations to air-polluting firms, while also increasing production costs, tightening financing constraints, and raising green awareness, thereby lowering polluting firms' land demand in border areas. Further analyses show that the AJPC policy's effectiveness varies with local officials' traits and environmental awareness of governments and firms. The policy mitigates regional pollution by restricting industrial land acquisition by polluting firms in border areas. Our findings enhance understanding of how regional pollution collaboration drives land reallocation in border areas, providing evidence to improve environmental policies.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108709"},"PeriodicalIF":13.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards carbon neutrality: Will artificial intelligence and green bond become catalysts? 迈向碳中和：人工智能和绿色债券会成为催化剂吗？

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-07-01 DOI: 10.1016/j.eneco.2025.108711

Xiaoqing Wang , Adnan Safi , Fengning Ge

{"title":"Towards carbon neutrality: Will artificial intelligence and green bond become catalysts?","authors":"Xiaoqing Wang , Adnan Safi , Fengning Ge","doi":"10.1016/j.eneco.2025.108711","DOIUrl":"10.1016/j.eneco.2025.108711","url":null,"abstract":"<div><div>The burgeoning domains of artificial intelligence technology and green bonds market are emerging as pivotal forces for the attainment of carbon neutrality objectives. Therefore, this study adopts a dynamic lens to detect the long- and short-term interdependencies among artificial intelligence (AII), green bonds (GBI) and carbon neutrality (CNI). Employing the quantile autoregressive distributed lag model, empirical results denote that artificial intelligence contributes to an uptick in carbon emissions on account of the necessary digital infrastructure, while playing a pivotal role in aiding the realization of carbon neutrality over long term. In contrast, green bonds are instrumental in curbing emissions over the short term, and the long-term impact is characterized by a mixed correlation with emissions levels. Green bonds emerge as a particularly timely policy instrument for emission reduction, while artificial intelligence is perceived as a more durable and consistent facilitator for progress towards carbon neutrality. Besides, both AII and GBI have locational asymmetric impacts on the CNI. The long-term effects of both artificial intelligence and green bonds on carbon dioxide emissions are more substantial than the short-term effects. Finally, targeted policies are provided to promote achieving carbon neutrality goals through reasonable utilization of artificial intelligence and green bonds.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108711"},"PeriodicalIF":13.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using short-term scenarios to assess the macroeconomic impacts of climate transition 利用短期情景评估气候转型的宏观经济影响

IF 12.8 2区经济学

Energy Economics Pub Date : 2025-06-30 DOI: 10.1016/j.eneco.2025.108663

Thomas Allen, Mathieu Boullot, Stéphane Dées, Annabelle de Gaye, Noëmie Lisack, Camille Thubin, Oriane Wegner

引用次数: 0