Energy Economics最新文献_第2页

Temperature sensitivity of residential energy demand on the global scale: A Bayesian Partial Pooling Model 全球尺度下居民能源需求的温度敏感性：一个贝叶斯部分池化模型

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-06-01 Epub Date: 2026-04-21 DOI: 10.1016/j.eneco.2026.109338

Peer Lasse Hinrichsen , Katrin Rehdanz , Richard S.J. Tol

引用次数: 0

Fiscal reforms with energy transition and climate benefits in oil exporting countries: The case of Nigeria 石油出口国的财政改革与能源转型和气候效益：以尼日利亚为例

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-06-01 Epub Date: 2026-05-22 DOI: 10.1016/j.eneco.2026.109412

Maksym Chepeliev , Grzegorz Peszko , Dominique van der Mensbrugghe

{"title":"Fiscal reforms with energy transition and climate benefits in oil exporting countries: The case of Nigeria","authors":"Maksym Chepeliev , Grzegorz Peszko , Dominique van der Mensbrugghe","doi":"10.1016/j.eneco.2026.109412","DOIUrl":"10.1016/j.eneco.2026.109412","url":null,"abstract":"<div><div>This paper presents an incentive-compatible approach to engaging oil-exporting countries in climate policy by aligning mitigation with their own economic interests. It quantifies how alternative fiscal and industrial policies affect economic diversification and emissions in Nigeria, Africa's largest oil producer, and analyzes how domestic reforms interact with climate and energy policies implemented by trading partners.</div><div>Using a global economic model, the study simulates non-cooperative scenarios in which the rest of the world forms hypothetical climate clubs that adopt ambitious climate policies. Nigeria either aligns its fiscal reforms with these clubs or maintains business-as-usual policies. The reforms evaluated include removal of the petrol subsidy, broadening the VAT base, raising the VAT rate to 15%, and introducing a carbon tax. The resulting expansion of the fiscal space is directed either to households or to investments supporting productivity-driven diversification.</div><div>Findings show that traditional diversification without green and efficiency-boosting fiscal reforms risks locking Nigeria into a structure reliant on domestic services and energy-intensive, low-productivity downstream industries vulnerable to external policy shocks. Fiscal reforms combined with innovation-focused investments boost economic growth—raising GDP by over 6% above baseline by 2050—while reducing emissions by up to 36% and promoting broader diversification.</div><div>However, long-term GDP gains entail short-term welfare losses. Results-based climate finance linked to verified emissions reductions could compensate, providing up to $10.1 billion over 25 years at $10 per ton of CO₂ abated, offering climate clubs a powerful tool to encourage cooperative climate action—even among oil exporters.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"159 ","pages":"Article 109412"},"PeriodicalIF":14.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148168655","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

Early consumer response to electric buses in urban areas: Evidence from a discrete choice experiment 城市地区早期消费者对电动公交车的反应：来自离散选择实验的证据

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-06-01 Epub Date: 2026-05-21 DOI: 10.1016/j.eneco.2026.109392

Mirko Giagnorio , Siqi Feng , Tiziana D’Alfonso , Ricardo A. Daziano

{"title":"Early consumer response to electric buses in urban areas: Evidence from a discrete choice experiment","authors":"Mirko Giagnorio , Siqi Feng , Tiziana D’Alfonso , Ricardo A. Daziano","doi":"10.1016/j.eneco.2026.109392","DOIUrl":"10.1016/j.eneco.2026.109392","url":null,"abstract":"<div><div>Electric buses (e-buses) are receiving increasing attention from planners and decision-makers worldwide. However, the user perspective remains understudied, limiting understanding of how urban travellers respond to bus fleet electrification. This study addresses this research gap by investigating whether and how e-buses can enhance public transport attractiveness by improving ride comfort and leveraging environmental benefits. We conducted a web-based discrete choice experiment in Rome, Italy, and then estimated a hybrid choice model with latent variables capturing e-bus awareness, perceived environmental benefits, personal norms, and social norms. The model extends beyond travel times and costs to quantify the impacts of four service attributes of public transport on travel mode choice. Results show that travellers recognise the distinctive features of e-buses, such as cleaner, quieter, and smoother rides, though perceptions depend on prior familiarity with the technology. Notably, e-bus introduction would improve the external costs of transport and waiting conditions at bus stops. These advantages are most valued by regular users of public transport, indicating limited potential for inducing modal shift from private vehicles. In fact, car users appear less sensitive to environmental benefits and social norms, which helps explain their lower acceptance of e-buses. The findings enable targeted communication and effective policy design that highlight the advantages of e-buses to consumers who are more likely to adopt them.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"159 ","pages":"Article 109392"},"PeriodicalIF":14.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148168575","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

Power generators' emission reduction strategies under China's CEA and CCER schemes: A game-theoretic economic simulation 中国CEA和CCER方案下的发电企业减排策略：一个博弈论经济模拟

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-06-01 Epub Date: 2026-05-23 DOI: 10.1016/j.eneco.2026.109410

Yu-Jie Hu , Ai-Ling Luo , Yue-Jun Zhang

{"title":"Power generators' emission reduction strategies under China's CEA and CCER schemes: A game-theoretic economic simulation","authors":"Yu-Jie Hu , Ai-Ling Luo , Yue-Jun Zhang","doi":"10.1016/j.eneco.2026.109410","DOIUrl":"10.1016/j.eneco.2026.109410","url":null,"abstract":"<div><div>The dynamic economic effects of multi-mechanism carbon market designs on Chinese power generators' emission-reduction and supply-chain decisions remain underexplored. We develop profit-based models to study how technological abatement, China Emissions Allowance (CEA) trading, and Chinese Certified Emission Reduction (CCER) trading interact, and simulate their economic impacts on power producers. The analysis yields three main results. First, generation firms, especially those with a high share of clean electricity, are highly sensitive to the allocation benchmark and its annual decline rate. This underscores the importance of benchmark design for investment signals. Second, the profitability of coal-fired plants depends critically on collaboration costs with energy service companies (ESCOs). Lower collaboration costs favor coal-fired plants, whereas higher costs shift profits toward clean-energy producers and alter market structure. Third, tighter carbon market supervision promotes technological upgrading in clean-energy firms and can improve the profitability of coal-fired plants through more effective use of the CCER market. These results have implications for market design and firm strategy. We suggest adjusting allowance benchmarks dynamically with technological progress and setting CCER offset caps and substitution ratios that reflect firm characteristics. Coal-fired generators should invest in low-carbon technologies before entering the market at scale, while clean-energy producers benefit from early participation.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"159 ","pages":"Article 109410"},"PeriodicalIF":14.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148168578","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

International crude oil price shocks and inflation tail risk tracing: New interpretation from four-component decomposition 国际原油价格冲击与通胀尾部风险追踪：来自四分量分解的新解释

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-06-01 Epub Date: 2026-05-22 DOI: 10.1016/j.eneco.2026.109403

Haiying Liu , Fangyu Tian , Tingting Zhao , Dayu Liu

{"title":"International crude oil price shocks and inflation tail risk tracing: New interpretation from four-component decomposition","authors":"Haiying Liu , Fangyu Tian , Tingting Zhao , Dayu Liu","doi":"10.1016/j.eneco.2026.109403","DOIUrl":"10.1016/j.eneco.2026.109403","url":null,"abstract":"<div><div>This paper proposes a novel incomplete identified Bayesian-estimated Structural Vector Autoregression (S-VAR) model to re-decompose the international crude oil price into four components. Our research finds that: (1) Compared to the shocks from demand sides, supply shocks are the dominant cause of fluctuations in international crude oil prices; (2) For China, before 2010, imported inflation was mainly transmitted through channels related to oil consumption demand and specific demand; however, after 2010, the transmission channels shifted towards global economic activities; (3) The estimated distribution of inflation-at-risk suggests that sudden changes in global economic activity have become the core factor shaping the inflation distribution, serving as a prerequisite for warning against imported inflation and as a key basis for assessing the right-tail risks of inflation; (4) The extreme inflation risk forecast indicates that, at the present stage, China has not shown signs of right-tail inflation risks, and the probability of an outbreak of imported inflation or systemic deflation remains relatively low. This not only represents a significant positive aspect of China’s macroeconomic fundamentals but also provides valuable room for economic rebound in the post-pandemic period. This research provides insights for China to mitigate the risks of crude oil supply disruptions, conduct preemptive measures against potential shocks, and thus avoid being affected by tail risks of inflation.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"159 ","pages":"Article 109403"},"PeriodicalIF":14.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148168574","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

Non-technological capabilities and the technological innovation in the new energy vehicle (NEV) sector 新能源汽车领域的非技术能力与技术创新

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-05-28 DOI: 10.1016/j.eneco.2026.109415

Junyang Liu , Shengjun Zhu , Canfei He

引用次数: 0

The predictive content of U.S. Energy Information Administration oil market forecasts 美国能源情报署石油市场预测的预测内容

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-25 DOI: 10.1016/j.eneco.2026.109214

Anthony Garratt , Ivan Petrella , Yunyi Zhang

引用次数: 0

Deep-learning-based optimal auction design in electricity markets 基于深度学习的电力市场最优竞价设计

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-10 DOI: 10.1016/j.eneco.2026.109176

Valentina Cepeda , Juan F. Pérez

{"title":"Deep-learning-based optimal auction design in electricity markets","authors":"Valentina Cepeda , Juan F. Pérez","doi":"10.1016/j.eneco.2026.109176","DOIUrl":"10.1016/j.eneco.2026.109176","url":null,"abstract":"<div><div>Auctions are widely used in electricity markets as a mechanism for central operators to ensure demand is satisfied in a cost-effective manner. Recently, the <em>RegretNet</em> framework has been proposed to tackle the optimal auction design problem with a deep learning approach. In this paper, we extend this framework to discover nearly optimal designs for electricity auctions. This is achieved by: (i) altering the neural network architecture to determine the <em>number of units</em> to allocate and to incorporate <em>demand constraints</em>; (ii) representing the information rent as part of the generator’s cost to capture <em>individual rationality</em>; (iii) introducing unbounded profit functions to handle capacity constrained generators; (iv) relaxing the learning problem to handle the <em>capacity</em> and <em>incentive compatibility</em> constraints; and (v) augmenting the constraints in the learning problem to handle correlated unit-costs. These extensions enable us to consider: (i) uncertain capacity and demand, possibly due to supply failures or wind–solar integration; (ii) correlated unit costs, caused by seasonal effects or shocks; and (iii) heterogeneous multi-time slot dispatch, capturing time-varying generation costs. Through experimentation we demonstrate that the method is able to recover known analytical solutions, achieving precise cost-level approximations (with errors <span><math><mrow><mo><</mo><mn>1</mn><mtext>%</mtext></mrow></math></span>) and minimal constraint violations (<span><math><mrow><mo>≤</mo><mn>0</mn><mo>.</mo><mn>001</mn></mrow></math></span>). Finally, we employ the method to assess the effect of renewable power integration in the Colombian wholesale electricity market. These results highlight the ability of the method to support the design of electricity markets considering the technical characteristics of the generators, the uncertainty around their capacities and costs, as well as their strategic behavior.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"155 ","pages":"Article 109176"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152670","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

Electric vehicles to the grid: Costs, benefits, and pricing mechanisms 电动汽车并网：成本、收益和定价机制

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-10 DOI: 10.1016/j.eneco.2026.109200

Xuhao Zhan , Bowei Guo

{"title":"Electric vehicles to the grid: Costs, benefits, and pricing mechanisms","authors":"Xuhao Zhan , Bowei Guo","doi":"10.1016/j.eneco.2026.109200","DOIUrl":"10.1016/j.eneco.2026.109200","url":null,"abstract":"<div><div>Decarbonizing the transportation sector is essential for meeting global climate targets. However, transportation electrification imposes substantial costs on power systems. This study develops a novel data-driven approach that leverages comprehensive grid measurement data to quantify these costs, referred to here as <em>social costs</em>. The results indicate that advancements in power transfer technologies, particularly vehicle-to-grid (V2G) integration, can substantially reduce social costs and, in some cases, generate net social benefits. When the proposed method is applied to two regions in China with contrasting power system characteristics, V2G leads to significant reductions in social costs in both low (Guangdong) and high (Gansu) renewable penetration regions. The reduction is greater in Gansu, primarily driven by a stronger decline in capacity investment costs, reflecting the greater reliance of high-renewable power systems on dispatchable capacity. Based on the estimated social costs, we propose a pricing mechanism to enable economically efficient V2G integration, demonstrating the first-best market-based mechanism and the second-best direct-pricing mechanism.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"155 ","pages":"Article 109200"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152671","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

Large scale renewable energy deployment reduces regional economic inequality:Evidence from China 大规模可再生能源部署减少区域经济不平等：来自中国的证据

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-01 DOI: 10.1016/j.eneco.2026.109168

Qiang Tu , Limei Zuo , Jianlei Mo , Yaming Ma , Ye Yao , Qi Su

{"title":"Large scale renewable energy deployment reduces regional economic inequality:Evidence from China","authors":"Qiang Tu , Limei Zuo , Jianlei Mo , Yaming Ma , Ye Yao , Qi Su","doi":"10.1016/j.eneco.2026.109168","DOIUrl":"10.1016/j.eneco.2026.109168","url":null,"abstract":"<div><div>The 17 Sustainable Development Goals (SDGs) proposed in the 2030 Agenda for Sustainable Development includes ensuring access to sustainable modern energy, as well as reducing inequality within countries. These goals may interact with each other, but research examining the impact of renewable energy deployment on economic inequality remains limited. To fill this gap, we estimate a city-level Dagum Gini coefficient from county-level nighttime lights to measure regional economic inequality, providing a production-side proxy with fine spatial resolution. And the difference-in-difference (DID) model is utilized in this study to identify the impact of renewable energy deployment on regional economic inequality, using a unique full sample dataset of China's renewable energy projects from 2001 to 2020. The empirical results indicate that the renewable energy deployment reduces regional economic inequality. Specifically, for every 1 GW of biomass and solar PV deployed in a city, the Gini coefficient is reduced by approximately 0.038–0.064 and 0.018–0.020, respectively, while wind energy deployment seems to have minimal impact on regional economic inequality. This study further confirms that the promotion of rural employment and the upgrading of the industrial structure are key mechanisms through which renewable energy deployment contributes to reducing regional economic inequality. Furthermore, increased investment in education and improved transport infrastructure would enhance the effect of renewable energy deployment on reducing regional economic inequality. Consequently, this research offers valuable insights for the strategic deployment of renewable energy not only in China and other developing countries but also for policy makers endeavoring to create policy synergies aligned with the SDGs.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"155 ","pages":"Article 109168"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385548","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