Energy Economics最新文献_第7页

Identifying and understanding disruptive energy technologies: A data-driven integrated approach 识别和理解颠覆性能源技术：数据驱动的综合方法

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-03 DOI: 10.1016/j.eneco.2026.109178

Jie Dong, Chen Yang, Hongyan Zhang, Peng Zhou

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引用次数: 0

Reciprocity between customer digitalisation and suppliers' green capabilities: Evidence from suppliers' green innovation performance 客户数字化与供应商绿色能力之间的互惠关系：来自供应商绿色创新绩效的证据

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-06 DOI: 10.1016/j.eneco.2026.109192

Huaijin Qi , Yanxia Liu , Le Chen , Xinge Zhou

引用次数: 0

When lenders go green, do borrowers follow? Evidence from the response of corporate green innovation to bank's sustainability commitments 当放款人环保时，借款者会跟进吗？来自企业绿色创新对银行可持续发展承诺的反应的证据

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-18 DOI: 10.1016/j.eneco.2026.109212

Ning Hu , Yi Lu , Lifang Xu

引用次数: 0

Investigating nuclear energy viability in Texas with decision making model GenX 利用GenX决策模型调查德克萨斯州核能可行性

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.2026.109224

Ivy Seidel , Joshua D. Rhodes , Michael E. Webber , Kevin Clarno , Derek Haas

{"title":"Investigating nuclear energy viability in Texas with decision making model GenX","authors":"Ivy Seidel , Joshua D. Rhodes , Michael E. Webber , Kevin Clarno , Derek Haas","doi":"10.1016/j.eneco.2026.109224","DOIUrl":"10.1016/j.eneco.2026.109224","url":null,"abstract":"<div><div>As the population grows and AI datacenters look to expand, Texas is in search of reliable and economical power to fill the increased demand the state is facing. This study assesses the economic viability of nuclear energy within the Electric Reliability Council of Texas (ERCOT) using the GenX capacity expansion model. Utilizing a simplified ERCOT grid developed by the Webber Energy Group at UT Austin, this research simulates various deployment scenarios to determine cost thresholds at which nuclear power becomes competitive with wind, solar, battery storage, coal, and natural gas. Simulations for projected 2025 and 2030 demand scenarios reveal that nuclear energy is economically viable at a capital expenditure (CAPEX) of approximately $4700 per kW, an upfront cost 38% below the National Renewable Energy Laboratory's (NREL) 2030 moderate estimate of $7616 per kW. This assumes that the full 50% Investment Tax Credit (ITC) is applied in the model as a direct capital cost reduction. Modeling also shows that if natural gas CAPEX nearly doubles or if gas fuel costs rise by 235%, nuclear becomes the preferred alternative. When both natural gas capital and fuel costs increase, nuclear clearly emerges as a cost-effective and competitive alternative. These findings suggest that nuclear power, while currently not cost-competitive, is an important part of the fuel mix that Texas will need in 2030 as electricity demand increases. State and federal policies such as the ITC and grants are recommended to continue in order to ease nuclear power through the heightened costs of first-of-a-kind construction.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"156 ","pages":"Article 109224"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147278910","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

Growth dynamics and sustainability of BRICS economies under climate uncertainty 气候不确定性下金砖国家经济增长动态和可持续性

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-11 DOI: 10.1016/j.eneco.2026.109179

Ameet Kumar Banerjee , Sabri Boubaker , Molla Ramizur Rahman

{"title":"Growth dynamics and sustainability of BRICS economies under climate uncertainty","authors":"Ameet Kumar Banerjee , Sabri Boubaker , Molla Ramizur Rahman","doi":"10.1016/j.eneco.2026.109179","DOIUrl":"10.1016/j.eneco.2026.109179","url":null,"abstract":"<div><div>This study examines the growth of BRICS economies under climate uncertainty within an interconnected setting. Using quarterly data from the first quarter of 2011 to the third quarter of 2023, we construct a climate-uncertainty-adjusted GDP growth (CUG) index to assess the role of the Paris Agreement in sustainable growth. We evaluate each economy's tolerance to climate uncertainty in sustaining growth and employ a commonality framework to disentangle shared and country-specific contributions to sustainable growth. The empirical findings reveal an enhanced CUG during the post-Paris Agreement, underscoring the Agreement's role in advancing sustainable growth. Furthermore, the network diagnostics provide evidence of strengthened economic performance conditional on climate uncertainty, thereby highlighting the Agreement's efficacy in mitigating the adverse effects of climate-related risks. These findings help policymakers judge whether BRICS economies advance toward climate-aligned growth consistent with treaty goals and inform stakeholders about the implications of climate mandates for economic objectives.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"155 ","pages":"Article 109179"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160350","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

The effect of demand uncertainty on the optimal capacity mix of a wholesale electricity market 需求不确定性对电力批发市场最优容量组合的影响

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 10.1016/j.eneco.2026.109165

Irena Milstein , Asher Tishler , Chi-Keung Woo

{"title":"The effect of demand uncertainty on the optimal capacity mix of a wholesale electricity market","authors":"Irena Milstein , Asher Tishler , Chi-Keung Woo","doi":"10.1016/j.eneco.2026.109165","DOIUrl":"10.1016/j.eneco.2026.109165","url":null,"abstract":"<div><div>Two-stage models have been the main tools to derive the optimal capacity mix of a wholesale electricity market. In the first stage, independent power producers (IPPs) maximize the expected profits of their capacity investments in generation technologies like photovoltaic (PV) systems and combined cycle gas turbines (CCGTs). In the second stage, interactions among IPPs result in the market's short-run equilibrium prices and output levels for the first stage's determination of the market's long-run optimal capacity mix. However, solving such models necessitates simplifying assumptions about the market's structure that has become more detailed and complex. This study assesses the effect of demand uncertainty on the market's optimal capacity mix by comparing the solutions based on stochastic demand functions to those based on deterministic demand functions. While demand uncertainty can impact the market's optimal capacity mix, we use real-world data to document that its effect is numerically negligible. Hence, deterministic modelling, which is much easier to implement than stochastic modelling, can provide a good approximation to the optimal capacity mix when assessing future electricity market scenarios. This finding's policy implication is that demand uncertainty is a less important driver of a wholesale electricity market's capacity mix than other drivers like capacity and fuel costs.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"155 ","pages":"Article 109165"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072171","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

Five stylized facts on ownership, specialization, and investment in global power assets 关于全球电力资产所有权、专业化和投资的五个程式化事实

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-06 DOI: 10.1016/j.eneco.2026.109193

Anton Pichler

{"title":"Five stylized facts on ownership, specialization, and investment in global power assets","authors":"Anton Pichler","doi":"10.1016/j.eneco.2026.109193","DOIUrl":"10.1016/j.eneco.2026.109193","url":null,"abstract":"<div><div>We establish five empirical facts about corporate ownership, technological specialization, and investment behavior in the global power sector, analyzing more than 150,000 generation assets owned by approximately 24,000 firms worldwide (2001–2024). Power asset ownership is extraordinarily concentrated, with 80% of global capacity held by just 3% of firms. Firms exhibit extreme technological specialization: approximately 80% own only a single technology, and even diversified firms concentrate more than 70% of capacity in one technology. Investment dynamics are highly persistent and path-dependent, with less than 10% of firms investing in any given year and past behavior strongly predicting future technology choices. Corporate energy transitions are exceedingly rare. Less than 4% of fossil fuel-dominated firms have transitioned to renewable-majority portfolios, and full divestment from fossils remains exceptional. Transitioning firms follow idiosyncratic pathways with no characteristic technology trajectories. These findings highlight fundamental challenges for climate policies that assume responsive corporate investment behavior and underscore the dominance of path dependency in firm-level technology adoption.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"155 ","pages":"Article 109193"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134331","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

How do households react to a real cost shock? Evidence from the energy price crisis in Germany 家庭如何应对实际成本冲击？证据来自德国的能源价格危机

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-06 DOI: 10.1016/j.eneco.2026.109142

Puja Singhal , Kathrin Kaestner , Antonia Schwarz , Michael Pahle

引用次数: 0

Incentivizing green strategies: Managerial incentives and sustainability agreements 激励绿色战略：管理激励和可持续性协议

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-16 DOI: 10.1016/j.eneco.2026.109197

Ajay Sharma, Nitin Shahi

{"title":"Incentivizing green strategies: Managerial incentives and sustainability agreements","authors":"Ajay Sharma, Nitin Shahi","doi":"10.1016/j.eneco.2026.109197","DOIUrl":"10.1016/j.eneco.2026.109197","url":null,"abstract":"<div><div>Welfare effects of <em>sustainability agreements</em> among competitors are widely debated. Recent literature has shown that when consumers value sustainability, <em>sustainability agreements</em> have an adverse effect on investment in sustainability and consumer welfare compared to the <em>competitive benchmark</em>. On the contrary, we demonstrate that investors incentivize managers to be more aggressive and thus produce more (either through incentive weightage for sales or sustainability investment) in the presence of <em>sustainability agreements</em>, which may also lead to increased investment in sustainability. Further, in the presence of such delegation, <em>sustainability agreements</em> are always beneficial for consumers as compared to the <em>competitive benchmark</em>. We use two types of managerial incentive structure, sales delegation and sustainability delegation. We also demonstrate that delegation enhances both sustainable investment and consumer welfare, and is the dominant strategy for firms. Thus, this study indicates that a more accommodating outlook towards <em>sustainability agreements</em> among competitors may be required.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"155 ","pages":"Article 109197"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146208846","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

Decision-making on the timing of CCS technology adoption in coal power enterprises under multiple uncertainties 多不确定性条件下煤电企业采用CCS技术时机的决策

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-03-01 Epub Date: 2026-02-17 DOI: 10.1016/j.eneco.2026.109206

Chunxiao Li , Delu Wang , Xuefeng Song , Xunpeng Shi

{"title":"Decision-making on the timing of CCS technology adoption in coal power enterprises under multiple uncertainties","authors":"Chunxiao Li , Delu Wang , Xuefeng Song , Xunpeng Shi","doi":"10.1016/j.eneco.2026.109206","DOIUrl":"10.1016/j.eneco.2026.109206","url":null,"abstract":"<div><div>Promoting low-carbon technology retrofits in coal-fired power enterprises has become an inevitable choice to reconcile energy security with emission reduction targets. Carbon Capture and Storage (CCS), recognized as the most promising large-scale pathway for deep decarbonization, continues to advance slowly due to high costs, carbon price volatility, and policy fluctuations. Against this backdrop, this study incorporates multiple layers of uncertainty—including policy, market, technology, and economic factors—into a unified analytical framework, and develops a decision-making model for CCS adoption by coal-fired power enterprises, followed by empirical analysis. The results indicate that: (1) under ±20% parameter perturbations, fluctuations in adoption timing remain below 20%, demonstrating strong robustness of the model; (2) the factors influencing adoption timing rank in order of importance as subsidy intensity, construction cost, carbon price, and carbon capture rate, with multi-factor interactions shaping three distinct phases of “wait-and-see–equilibrium–acceleration.” Notably, the combination of high carbon prices and generous subsidies triggers a stepwise shift toward early adoption; (3) expansion in installed capacity leads adoption timing to follow a trajectory of “initially stable–then steeply rising–and eventually stabilizing,” while improvements in generation efficiency advance adoption timing in a near-linear manner. In contrast, stronger external shocks to power generation delay adoption timing and induce an inflection point when the share of coal power reaches 30%–40%. The findings provide decision-making references for coal-fired power enterprises in optimizing strategies for the timing of low-carbon technology adoption, and for governments in formulating incentive-compatible policy frameworks to accelerate low-carbon retrofits.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"155 ","pages":"Article 109206"},"PeriodicalIF":14.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147278525","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