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Artificial intelligence and enterprise pollution emissions: From the perspective of energy transition
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-04 DOI: 10.1016/j.eneco.2025.108349
Xiaotong Niu, Changao Lin, Shanshan He, Youcai Yang
{"title":"Artificial intelligence and enterprise pollution emissions: From the perspective of energy transition","authors":"Xiaotong Niu,&nbsp;Changao Lin,&nbsp;Shanshan He,&nbsp;Youcai Yang","doi":"10.1016/j.eneco.2025.108349","DOIUrl":"10.1016/j.eneco.2025.108349","url":null,"abstract":"<div><div>In the digital transformation era, artificial intelligence (AI) has emerged as a formidable driving force behind enterprises' energy transitions and pollution emission mitigation, leveraging its unique advantages. This study examines the effect of AI on enterprise pollution emissions within the framework of energy transitions, utilizing data from Chinese A-share listed enterprises spanning from 2007 to 2022. Findings of this study reveal that the application of AI significantly reduces enterprise pollution emissions. This conclusion remains robust even after a series of rigorous tests. Further analysis elucidates that AI achieves emission reductions mainly by enhancing energy efficiency, rather than optimizing energy structures. Furthermore, heterogeneity analysis shows disparate effects across different types of enterprise, particularly pronounced in enterprises with low production efficiency, low digital transformation levels, or located in regions with high air pollution. This study enriches the understanding of AI's influence on enterprise pollution emissions, offering pivotal recommendations for enterprises to integrate AI for energy efficiency gains and sustainable development, thereby aligning with and advancing China's strategic goals for “carbon neutrality and peaking emissions” within the realm of energy economics.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108349"},"PeriodicalIF":13.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578602","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
Environmental policy and distance to firms: An analysis of publicly listed firms in China
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-04 DOI: 10.1016/j.eneco.2025.108330
Kingsley Dogah , Shang Jiang , Casto Martín Montero Kuscevic , King Yoong Lim
{"title":"Environmental policy and distance to firms: An analysis of publicly listed firms in China","authors":"Kingsley Dogah ,&nbsp;Shang Jiang ,&nbsp;Casto Martín Montero Kuscevic ,&nbsp;King Yoong Lim","doi":"10.1016/j.eneco.2025.108330","DOIUrl":"10.1016/j.eneco.2025.108330","url":null,"abstract":"<div><div>Focusing on the seven regions with pilot emission trading scheme (ETS) in China, we develop a novel theory explaining firms’ environmental investment (EI) decision, which is endogenous to the spatial effects associated with waste-recycling facility (WRF) proximity and ETS induced peer-to-peer learning. A novel feature is that, due to the use of resource inputs, firms incur both recyclable and carbon-intensive waste disposal costs. This leads to two empirically testable propositions and a conjecture, which we evaluate based on cross-sectional analyses of 1717 public listed firms in China during the 2015–20 periods. We find WRF proximity to correlate positively with observed EI take-up, and this is subsequently associated with higher labor productivity. However, ETS-infused peer learning effect has the opposite effect in that proximity to an investing neighbor results seems to be associated with freeriding, especially when the difference in internal margins between firms is accounted for. While there are overall positive spatial spillover effects, this results in policy rivalry (between the two policies), where the freeriding effect not only results in a lack of ETS policy effect onto labor productivity of even the 219 EI firms, but also mitigates the positive WRF proximity effect.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108330"},"PeriodicalIF":13.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring cross-border energy policies and their impact on gasoline prices in Friuli Venezia Giulia, Italy
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-04 DOI: 10.1016/j.eneco.2025.108366
Angela S. Bergantino , Mario Intini , Younes Nademi , Federica Nuzzo
{"title":"Exploring cross-border energy policies and their impact on gasoline prices in Friuli Venezia Giulia, Italy","authors":"Angela S. Bergantino ,&nbsp;Mario Intini ,&nbsp;Younes Nademi ,&nbsp;Federica Nuzzo","doi":"10.1016/j.eneco.2025.108366","DOIUrl":"10.1016/j.eneco.2025.108366","url":null,"abstract":"<div><div>This study explores the interplay between regional energy policies and cross-border economic activities in the Friuli Venezia Giulia (FVG) region of Italy, with a particular focus on their impact on gasoline prices and the issue of fuel tourism. By analyzing weekly gasoline data through a Markov switching model, we investigate the dynamics of gasoline pricing strategies in response to regional discount policies designed to curtail cross-border fuel purchases. Our findings reveal that while these policies variably affect gasoline prices across different areas of the region, they generally result in higher net gasoline prices, especially in environments characterized by low-price and high-volatility. This research enhances our understanding of how local economic measures influence cross-border behaviors and evaluates the effectiveness of regional policies in stabilizing markets and mitigating economic leakages due to fuel tourism. Additionally, it underscores the necessity for a tailored policy approach that considers the unique economic dynamics of border regions.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108366"},"PeriodicalIF":13.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610182","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
Distributional forecasting of electricity DART spreads with a covariate-dependent mixture model
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-03 DOI: 10.1016/j.eneco.2025.108332
Anthony Forgetta , Frédéric Godin , Maciej Augustyniak
{"title":"Distributional forecasting of electricity DART spreads with a covariate-dependent mixture model","authors":"Anthony Forgetta ,&nbsp;Frédéric Godin ,&nbsp;Maciej Augustyniak","doi":"10.1016/j.eneco.2025.108332","DOIUrl":"10.1016/j.eneco.2025.108332","url":null,"abstract":"<div><div>We develop a covariate-dependent mixture model to describe the behavior of electricity DART spreads, which are differentials between day-ahead and real-time prices of electricity. The model includes three regimes: a regular DART regime, a positive spike regime, and a negative spike regime. The model exhibits sufficient flexibility to allow covariates impacting both the frequency and severity of DART spread spikes, and to reproduce salient stylized facts of DART spread dynamics. The covariates considered include forecasts for load, weather, and natural gas prices. The application of our model on data from the Long Island zone of the NYISO (New York Independent System Operator) exhibits a satisfactory fit to the data. Numerical experiments reveal that including covariates in the severity component of the model is crucial, while mild additional performance is obtained with their inclusion in the frequency component. Furthermore, neural network-based quantile regression benchmarks are unable to improve performance over our mixture model.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108332"},"PeriodicalIF":13.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583092","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 financial sector's response to environmental policy stringency: Comparative analysis of developed and developing economies
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-03 DOI: 10.1016/j.eneco.2025.108377
Asma Nasim , Xihui Haviour Chen , Basil al Najjar , Yen Hai Hoang
{"title":"The financial sector's response to environmental policy stringency: Comparative analysis of developed and developing economies","authors":"Asma Nasim ,&nbsp;Xihui Haviour Chen ,&nbsp;Basil al Najjar ,&nbsp;Yen Hai Hoang","doi":"10.1016/j.eneco.2025.108377","DOIUrl":"10.1016/j.eneco.2025.108377","url":null,"abstract":"<div><div>This study examines the impact of Environmental Policy Stringency (EPS) on bank performance across developed (G7) and developing (E7) economies over a 21-year period. Employing fixed-effects, random-effects, and Generalized Method of Moments (GMM) methodologies, our models focus on EPS's association with two performance metrics: Return on Assets (ROA) and Return on Equity (ROE). Our findings indicate that while EPS generally exerts a negative impact on bank performance, the effects differ significantly between developed and developing economies. Banks in developed economies (G7) experience negative impacts from EPS but display relatively greater resilience, with more moderate declines in profitability. In contrast, banks in developing economies (E7) face more significant challenges, as the negative effects on profitability are more pronounced across both ROA and ROE. Additionally, variables such as regulatory capital, policy rates, and debt ratios have minimal impact on bank profitability, while unemployment unexpectedly shows a positive effect. These results underscore the complex relationship between economic conditions, monetary policies, and environmental regulations. This study contributes to the existing literature by emphasizing the importance of tailoring environmental regulations to the specific capacities of financial institutions in different economic contexts. We advocate for policies that promote sustainability without compromising financial stability and suggest avenues for future research that include broader regional analyses, taking into account factors such as financial openness and technological progress.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108377"},"PeriodicalIF":13.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697109","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 supply chain disruptions, renewable energy consumption, and eco-innovation mitigate environmental degradation? A path towards sustainable development in France
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-03 DOI: 10.1016/j.eneco.2025.108346
Hongjie Ding , Muzi Feng , Qian Chen
{"title":"How supply chain disruptions, renewable energy consumption, and eco-innovation mitigate environmental degradation? A path towards sustainable development in France","authors":"Hongjie Ding ,&nbsp;Muzi Feng ,&nbsp;Qian Chen","doi":"10.1016/j.eneco.2025.108346","DOIUrl":"10.1016/j.eneco.2025.108346","url":null,"abstract":"<div><div>The load capacity factor is crucial for France's economic development regarding green energy, supply chain, and digital innovation by enabling the effective utilization of resources, minimizing adverse effects on the environment, and enhancing economic growth. This study has introduced a novel model to examine the impact of supply chain disruptions, renewable energy consumption, eco-innovation, energy tax, human capital, and economic growth on the load capacity factor (LF) of France's economy throughout 1994–2021 by employing the Quantile-on-Quantile Kernel-Based Regularized Least Squares (QQKRLS) and Quantile Causality Analysis. The QQKRLS findings depict that supply chain disruptions and human capital are strongly positively correlated with the LF for moderate to high quantiles, highlighting the importance of operations and human capital. The change in renewable energy consumption reveals an unsystematic pattern and turns negative at higher quantiles, implying sustainability problems. Eco-innovation is positive at lower quantile levels of the LF, and energy tax influence is inversely related to similar levels of LF. An increase in economic growth is associated with the load capacity factor at some selected quantiles, thereby asserting the advantages of some operations capacity. Quantile causality test findings show the top causality at the mid-quantile, implying that LF affects its mid-level most with a decreasing impact on the higher level. It must also be realized that these factors have varying effects depending on which operational situation is being considered. The study findings presented here support a unique strategy for policy and management.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"145 ","pages":"Article 108346"},"PeriodicalIF":13.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776479","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 digital revolution and energy efficiency – A roadmap for transforming the energy supply chain through green policy planning
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-01 DOI: 10.1016/j.eneco.2025.108345
Wei Wei, Hu Zhang
{"title":"The digital revolution and energy efficiency – A roadmap for transforming the energy supply chain through green policy planning","authors":"Wei Wei,&nbsp;Hu Zhang","doi":"10.1016/j.eneco.2025.108345","DOIUrl":"10.1016/j.eneco.2025.108345","url":null,"abstract":"<div><div>Transitioning to renewable energy sources and green technologies is crucial for achieving global climate goals and sustainable development. Using policy developments, investments, and technological advancements from 1999 to 2021, this study develops a roadmap for transforming the energy supply chain through adopting green technologies in selected International Energy Agency (IEA) countries. The findings suggest that there has been a significant shift towards green technologies in the energy supply chain of the IEA countries. The adoption of renewable energy sources, such as solar and wind power, has increased exponentially during this period. Additionally, there has been a growth in energy storage technologies, enabling the integration of intermittent renewable energy sources into the power grid. Moreover, the findings highlight the importance of policy interventions to facilitate this transition. The introduction of favorable regulatory frameworks, subsidies, and incentives has encouraged investment in green technologies and promoted their deployment. Establishing renewable energy targets and carbon pricing mechanisms has also played a significant role in adopting cleaner energy sources. The implications of the study for IEA member countries are profound. The findings underscore the need for member countries to continuously update their energy policies to align with the evolving energy landscape. This includes promoting the integration of renewable energy sources into the energy mix, investing in research and development of emerging technologies, and coordinating efforts at a regional or international level.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108345"},"PeriodicalIF":13.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550524","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
From digitalization to renewable energy: How the tech-energy connection drives the green energy in belt and road countries
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-01 DOI: 10.1016/j.eneco.2025.108324
Wang Bingxin , Ghulam Muhammad Qamri , Guo Hui , Waqar Ameer , Muhammad Ansar Majeed
{"title":"From digitalization to renewable energy: How the tech-energy connection drives the green energy in belt and road countries","authors":"Wang Bingxin ,&nbsp;Ghulam Muhammad Qamri ,&nbsp;Guo Hui ,&nbsp;Waqar Ameer ,&nbsp;Muhammad Ansar Majeed","doi":"10.1016/j.eneco.2025.108324","DOIUrl":"10.1016/j.eneco.2025.108324","url":null,"abstract":"<div><div>Sustainable economic development is the need of the current era which is not possible without the environment friendly energy consumption. Digitalization which is the major part of economic life also has a major role in determining the level of clean energy in an economy. Therefore, this study investigates the nonlinear relationship between digitalization and renewable energy consumption with particular focus on the role of human capital as a moderating factor. This study has developed a panel of the countries that are part of the One Belt One Road project from 1996 to 2019. The results of augmented system GMM show that, initially, digitalization adversely effects the renewable energy consumption, however; after specific threshold value, the impact of digitalization convert from adverse to beneficial for the renewable energy development. This study also shows that human that capital moderates the relationship between digitalization and renewable energy in a positive way showing a good human capital helps countries to early ending the negative impact of digitalization on renewable energy. The study also offers the policy implications that BRI countries should set energy efficiency standards for digital infrastructures, offer incentives for green data centers and simultaneously invest in human capital development.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108324"},"PeriodicalIF":13.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591672","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 “Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk” [Energy Economics Volume 119, March 2023, 106570]
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-03-01 DOI: 10.1016/j.eneco.2025.108287
Muhammad Zubair Chishti , Avik Sinha , Umer Zaman , Umer Shahzad
{"title":"Retraction notice to “Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk” [Energy Economics Volume 119, March 2023, 106570]","authors":"Muhammad Zubair Chishti ,&nbsp;Avik Sinha ,&nbsp;Umer Zaman ,&nbsp;Umer Shahzad","doi":"10.1016/j.eneco.2025.108287","DOIUrl":"10.1016/j.eneco.2025.108287","url":null,"abstract":"","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"143 ","pages":"Article 108287"},"PeriodicalIF":13.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How does service trade openness promote the green transformation of manufacturing firms? Evidence from China
IF 13.6 2区 经济学
Energy Economics Pub Date : 2025-02-28 DOI: 10.1016/j.eneco.2025.108347
Zhongqiao Shu , Shuijun Peng , Xin Huang
{"title":"How does service trade openness promote the green transformation of manufacturing firms? Evidence from China","authors":"Zhongqiao Shu ,&nbsp;Shuijun Peng ,&nbsp;Xin Huang","doi":"10.1016/j.eneco.2025.108347","DOIUrl":"10.1016/j.eneco.2025.108347","url":null,"abstract":"<div><div>Service intermediate inputs are generally more environmentally friendly and knowledge-intensive compared with goods. As China has continued to promote high-quality development and expand high-standard opening up, this paper aims to investigate how service trade openness of China provides a green upgrading path for manufacturing firms. We first construct a micro theoretical model and deduce three influence channels through which service trade openness can reduce pollution intensity of manufacturing firms: technological progress, cost reduction and efficiency improvement of resource allocation. Then, we estimate the trade costs in service sectors based on the service trade data in OECD database and the structural gravity model, and empirically verify the emission reduction effect of service trade openness with our estimation and China's firm-level data from 1999 to 2007. The results show that service trade openness can effectively reduce the pollution emission intensity of Chinese manufacturing firms through these three channels. And it is noteworthy that the technological progress is mainly due to the improvement of innovation quality, rather than the innovation quantity. In addition, this paper also finds that: (1) Emission reduction effect brought by trade openness in producer services is more significant, while trade openness in non-producer services actually increases firms' pollution intensity due to the crowding-out effect; (2) Emission reduction effect of service trade openness on non-SOEs and non-exporting firms are more manifest. This paper provides feasible paths for China and other developing economies to the achievement of green transformation.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108347"},"PeriodicalIF":13.6,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550525","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
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