Energy Economics最新文献_第9页

Effects of basin ecological compensation policies in China: Insights from policy design differences 中国流域生态补偿政策的效果：来自政策设计差异的洞察

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2026-01-05 DOI: 10.1016/j.eneco.2026.109132

Lei Zhou , Shaoxin Hong , Siyan Su

{"title":"Effects of basin ecological compensation policies in China: Insights from policy design differences","authors":"Lei Zhou , Shaoxin Hong , Siyan Su","doi":"10.1016/j.eneco.2026.109132","DOIUrl":"10.1016/j.eneco.2026.109132","url":null,"abstract":"<div><div>There are two types of Basin Ecological Compensation Policies (BECP) in China: a formal policy initiated by the central government in the Xin'an River Basin and an informal policy organized by local governments in the Wei River Basin. We use a difference-in-differences (DID) approach to identify and compare the effects of these two policy types. We find that the BECP in the Xin'an River Basin significantly reduces enterprises' water pollutant emissions but also decreases Total Factor Productivity (TFP), whereas the BECP in the Wei River Basin has no significant effect. In addition, enterprises in the Xin'an River Basin experience reduced output and increased investment in cleaner production practices, which serve as the main channels through which water pollutant emissions decline. We further show that the economic losses borne by upstream regions exceed the compensation they receive, indicating that the compensation funds are insufficient. Finally, heterogeneity analyses reveal that the effectiveness of the BECP depends on factors such as adjacency to provincial boundaries, river length within a county, the number of industrial enterprises, and enterprise tax levels. These findings provide useful insights for the broader application of BECPs and for negotiations over compensation funding.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"154 ","pages":"Article 109132"},"PeriodicalIF":14.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939744","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 power of storytelling: How green narratives shape urban green innovation 讲故事的力量：绿色叙事如何塑造城市绿色创新

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2026-01-03 DOI: 10.1016/j.eneco.2025.109122

Yajing Chen , Gaoxiang Xu , Yutian Shan , Yushan Wei , Saiquan Hu , Jie She

{"title":"The power of storytelling: How green narratives shape urban green innovation","authors":"Yajing Chen , Gaoxiang Xu , Yutian Shan , Yushan Wei , Saiquan Hu , Jie She","doi":"10.1016/j.eneco.2025.109122","DOIUrl":"10.1016/j.eneco.2025.109122","url":null,"abstract":"<div><div>Promoting green innovation is strategically essential for sustainable development, requiring enhanced expected returns among innovation actors. As economic expectations are shaped by narratives, government-disseminated green narratives may serve as powerful policy levers for advancing green innovation. This study employs large language models and LDA topic modeling to extract green narrative-related variables from Chinese provincial Party newspapers, combining these measures with panel data from 288 Chinese cities spanning 2011–2022 to examine how green narratives influence urban green innovation and through what mechanisms. The findings reveal that green narrative exposure significantly promotes urban green innovation through two pathways: facilitating green finance development and enhancing public environmental concern. Both the economic relevance of narrative topics and the narrativity of formats positively moderate this relationship. Further analyses confirm that narrative effects extend to firm-level green innovation quality measured by patent citations. This study demonstrates narratives as effective policy instruments for green innovation, extends green narrative research from individual to regional outcomes, and provides insights for leveraging narratives to promote substantive technological progress.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"154 ","pages":"Article 109122"},"PeriodicalIF":14.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893919","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

A data-driven merit order: Learning a fundamental electricity price model 数据驱动的价值排序：学习基本电价模型

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2025-12-30 DOI: 10.1016/j.eneco.2025.109114

Paul Ghelasi, Florian Ziel

{"title":"A data-driven merit order: Learning a fundamental electricity price model","authors":"Paul Ghelasi, Florian Ziel","doi":"10.1016/j.eneco.2025.109114","DOIUrl":"10.1016/j.eneco.2025.109114","url":null,"abstract":"<div><div>Electricity price forecasting approaches generally fall into two categories: data-driven models, which learn from historical patterns, or fundamental models, which simulate market mechanisms. We propose a novel and highly efficient data-driven merit order model that integrates both paradigms. The resulting supply stack framework embeds the classical expert-based merit order as a nested special case, allowing all key parameters, such as plant efficiencies, bidding behavior, and available capacities, to be estimated directly from historical data, rather than assumed. We further enhance the model with critical embedded extensions such as hydro power, cross-border flows and corrections for underreported capacities, which considerably improve forecasting accuracy. Applied to the German day-ahead market, our model outperforms both classic fundamental and state-of-the-art machine learning models. It retains the interpretability of fundamental models, offering insights into marginal technologies, fuel switches, and dispatch patterns, elements which are typically inaccessible to black-box machine learning approaches. This transparency and high computational efficiency make it a promising new direction for electricity price modeling.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"154 ","pages":"Article 109114"},"PeriodicalIF":14.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895704","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

Strategic sector coupling? Market power in heat and power markets 战略部门耦合？供热和电力市场的市场力量

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2025-12-30 DOI: 10.1016/j.eneco.2025.109106

Afzal S. Siddiqui , Sebastian Maier

{"title":"Strategic sector coupling? Market power in heat and power markets","authors":"Afzal S. Siddiqui , Sebastian Maier","doi":"10.1016/j.eneco.2025.109106","DOIUrl":"10.1016/j.eneco.2025.109106","url":null,"abstract":"<div><div>Power-sector decarbonisation envisages extensive uptake of variable renewable energy (VRE) technologies. Although VRE output is intermittent, coupling between heat and power sectors via combined heat and power (CHP) plants could provide the requisite flexibility. However, strategic CHP plants could use the link between the two energy sectors to manipulate electricity prices. We use a bi-level model to investigate the incentives for the exercise of such market power. At the upper level, a firm with both heat-only and CHP plants is a Stackelberg leader when determining its heat output and is constrained by power-market operations at the lower level. Such a strategic firm produces more (less) heat from its CHP (heat-only) plant vis-à-vis the social optimum to constrain its power output, thereby boosting the electricity price. Additional market power at the lower level from power-only generation induces the strategic heat producer to reduce distortions to its operations as long as the electricity market is relatively large. In order to attenuate welfare losses from such strategic behaviour, we devise an incentive-based regulatory mechanism consisting of a subsidy to or a tax on CHP heat output. Numerical examples illustrate the properties of our analytical results, which can inform future negotiations over CHP cost allocations between regulators and producers.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"154 ","pages":"Article 109106"},"PeriodicalIF":14.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895703","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

Research on the impact of ultra-high voltage transmission on urban carbon neutral technology innovation: An empirical test based on double machine learning method 超高压输电对城市碳中和技术创新的影响研究——基于双机器学习方法的实证检验

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2025-12-30 DOI: 10.1016/j.eneco.2025.109120

Dongri Han , Ruiqi Wang , Yijia Yuan , Deheng Xiao

{"title":"Research on the impact of ultra-high voltage transmission on urban carbon neutral technology innovation: An empirical test based on double machine learning method","authors":"Dongri Han , Ruiqi Wang , Yijia Yuan , Deheng Xiao","doi":"10.1016/j.eneco.2025.109120","DOIUrl":"10.1016/j.eneco.2025.109120","url":null,"abstract":"<div><div>Energy infrastructure is a pivotal driver in reshaping the development trajectory of low-carbon technology as global carbon neutrality and the significant alteration of energy systems. Its innovation-driven efficacy has not been thoroughly investigated. This paper examines the “ultra-high voltage (UHV) transmission project,” which encompasses 270 Chinese cities at the prefecture level and above, as a quasi-natural experiment from 2006 to 2023. The difference-in-differences model and double machine learning are integrated to provide a causal inference framework that systematically reveals the multifaceted mechanism of energy infrastructure's impact on carbon neutral technology innovation. The findings indicate that UHV transmission project significantly increased carbon neutral technology innovation in pilot cities, enabling the optimal allocation of energy across regions. This supports the hypothesis of a network effect-innovation response mechanism driven by the dynamic adaptation of energy infrastructure. Further mechanism tests identify three transmission paths: government green development attention, informal environmental regulation, and energy consumption structure. Heterogeneity analysis reveals that these effects vary by region: energy-rich areas utilize UHV networks to break the resource curse; old industrial bases utilize it for green transitions; and small and medium-sized cities benefit from collaborative innovation. UHV transmission project reduces regional development gaps and weakens conventional geographic advantages. The paper provides precise policy targets for the energy revolution and regional coordination to support carbon neutrality, while providing practical guidance for infrastructure investment decisions.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"154 ","pages":"Article 109120"},"PeriodicalIF":14.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145882820","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

Retraction notice to “Alleviating the rural household energy poverty in China: The role of digital economy” [Energy Economics 142 (2025) 108160] 关于《缓解中国农村家庭能源贫困：数字经济的作用》的撤稿通知[能源经济142 (2025)108160]

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2026-01-16 DOI: 10.1016/j.eneco.2026.109143

Haijie Wang , Tong Yan , Rongbing Huang , Junsong Gao

引用次数: 0

Time segmentation in tanker freight markets: The role of risk and relative freight rates in switching decisions 油轮货运市场的时间分割：风险和相对运价在转换决策中的作用

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2025-12-26 DOI: 10.1016/j.eneco.2025.109110

Manolis G. Kavussanos, Stergiani (Stella) A. Moysiadou, Dimitris A. Tsouknidis

{"title":"Time segmentation in tanker freight markets: The role of risk and relative freight rates in switching decisions","authors":"Manolis G. Kavussanos, Stergiani (Stella) A. Moysiadou, Dimitris A. Tsouknidis","doi":"10.1016/j.eneco.2025.109110","DOIUrl":"10.1016/j.eneco.2025.109110","url":null,"abstract":"<div><div>This paper investigates the influence of macroeconomic and market-related factors on the chartering decisions of shipowners in the tanker segment of the ocean-going maritime industry. It introduces a methodological framework, which for a particular vessel type, highlights segmentation in the freight market based on contract duration. According to this framework, shipowners select charter contracts aligned with their risk preferences and strategic objectives, leading them to operate within a preferred “habitat” time-segment of the freight market -namely, the short-term spot market (single-voyage contracts), medium-term, or long-term time charters. A novel contribution of this study is the incorporation of global as well as shipping industry-specific risk factors. They include the risk aversion index developed by <span><span>Bekaert et al. (2022)</span></span>, freight and crude oil price volatilities. The paper demonstrates that both global and industry specific risk factors in conjunction with relative freight rate differentials across contract durations significantly influence shipowners' selection of charter length and their potential transitions between different time-segments of the market. Using a unique dataset of 33,564 individual freight fixtures for crude oil tankers over a nine-year period, the study finds that the dominant “habitat” for VLCC and Suezmax tanker operators is the spot market, revealing a low level of risk aversion among market participants. However, changes in perceived risk and in relative freight rates can prompt temporary deviations from their preferred time-segment. The findings are in line with standard economics and finance theories and common shipping practice.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"154 ","pages":"Article 109110"},"PeriodicalIF":14.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145844762","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

Hierarchy in green: Subordinate executives and eco-innovation dynamics 绿色环境中的层级：下属高管与生态创新动态

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2026-01-16 DOI: 10.1016/j.eneco.2026.109146

Millie Liew , Zhuo Li , June Cao

引用次数: 0

The income threshold of household carbon emissions: Nonlinear growth and decoupling challenges 家庭碳排放的收入门槛：非线性增长与脱钩挑战

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2026-01-08 DOI: 10.1016/j.eneco.2026.109137

Yuedong Xiao , Wenling Liu , Lei Gao , Fengtai Zhang , Yulin Zhu , Xueyang Wang

{"title":"The income threshold of household carbon emissions: Nonlinear growth and decoupling challenges","authors":"Yuedong Xiao , Wenling Liu , Lei Gao , Fengtai Zhang , Yulin Zhu , Xueyang Wang","doi":"10.1016/j.eneco.2026.109137","DOIUrl":"10.1016/j.eneco.2026.109137","url":null,"abstract":"<div><div>Decoupling carbon emissions from economic growth is a key pathway to address climate change. However, most studies overlook the behavioral mechanisms behind the non-linear growth of household emissions and the challenges this non-linearity implies for decoupling. This study advances a consumption-transition model related to carbon emissions. The theoretical model suggests that once income exceeds a critical threshold, households shift from basic-needs spending to symbolic consumption and may imitate consumption patterns of higher-income households. This change can sharply increase demand for carbon-intensive goods and alter the decoupling status. Using China Family Panel Studies data for 2014–2022, we empirically identify an income threshold in household emissions, namely a carbon emission growth turning point (CEGTP), after which emissions rise more rapidly with income. Sensitivity analysis indicates that emission patterns remain stable within ±15% of the CEGTP, enabling robust comparison between high- and low-income households. We find that more than half of urban households have disposable income below the CEGTP, which may imply a significant risk of future emission increases. Consistent with the theoretical model, labor-dominated households exhibit a higher income elasticity of emissions than households dominated by older individuals or children, because working-age adults may be more prone and able to engage in symbolic consumption. The higher elasticity is primarily driven by discretionary spending, such as travel, rather than necessities like food, residential energy, or clothing. Thus, the key to achieving decoupling is to apply targeted policies to steer incremental consumption onto a low-carbon path.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"154 ","pages":"Article 109137"},"PeriodicalIF":14.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973179","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

Green bubbles: A four-stage paradigm for detection and propagation 绿色气泡：检测和传播的四阶段范式

IF 14.2 2区经济学

Energy Economics Pub Date : 2026-02-01 Epub Date: 2025-12-23 DOI: 10.1016/j.eneco.2025.109095

Gian Luca Vriz , Luigi Grossi

引用次数: 0