Energy Economics最新文献_第6页

Liberalization of upstream productive services and green innovation in downstream manufacturing firms: Evidence from China

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108173

Wenjing Liang , Weihua Yu , Xin Yao

{"title":"Liberalization of upstream productive services and green innovation in downstream manufacturing firms: Evidence from China","authors":"Wenjing Liang , Weihua Yu , Xin Yao","doi":"10.1016/j.eneco.2024.108173","DOIUrl":"10.1016/j.eneco.2024.108173","url":null,"abstract":"<div><div>The interplay between openness and green development is a critical issue for developing countries. This article leverages Chinese foreign investment liberalization policies in productive service industries to construct a relatively exogenous index of productive service sector liberalization and uses micro-level data from Chinese manufacturing firms to empirically examine the causal economic implications of productive service liberalization on green innovation in downstream manufacturing firms. The findings indicate that liberalization of the productive service sector boosts green innovation in manufacturing firms. Moreover, the liberalization of the productive service sector enhances green innovation in downstream manufacturing enterprises mainly by enhancing management efficiency, reducing costs, and alleviating financing constraints. The extent of this impact varies according to the geographic location, industry attributes, and other firm-specific characteristics. Furthermore, the presence of stringent environmental regulations and strong intellectual property protection enhances the advantages of liberalizing the productive services on green innovation.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108173"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145643","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

Does artificial intelligence improve energy efficiency? Evidence from provincial data in China

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108149

Xin Li , Shiyuan Li , Jifeng Cao , Andrei Cristian Spulbar

{"title":"Does artificial intelligence improve energy efficiency? Evidence from provincial data in China","authors":"Xin Li , Shiyuan Li , Jifeng Cao , Andrei Cristian Spulbar","doi":"10.1016/j.eneco.2024.108149","DOIUrl":"10.1016/j.eneco.2024.108149","url":null,"abstract":"<div><div>As global energy demand rises and environmental awareness increases, improving energy efficiency (EE) has become crucial to achieving sustainable development. This paper employs a two-way fixed effects panel model using data from 30 provinces in China, from 2000 to 2021, to investigate the impact of artificial intelligence (AI) on EE. The research results reveal that advancements in AI have greatly facilitated the improvement of EE. Furthermore, green technology innovation capability plays a positive moderating role between AI and EE. A heterogeneity analysis indicates that the impact of AI on EE is more significant in economically-developed regions. In energy-deficient regions, AI can significantly improve EE, whereas conversely, in energy-abundant regions, AI's impact on EE is negative. Further analysis using a spatial Durbin model (SDM) confirms the presence of spatial effects in the impact of AI on EE. This paper aims to expand the scholarly understanding of the relationship between AI and EE and provides empirical evidence for decision-makers during this critical period of energy transition. By delving into the potential of AI to enhance EE, the paper seeks to illuminate specific strategies and approaches for policymakers and industry participants.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108149"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145742","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 economies decarbonize growth under finance-energy inequality? Global evidence 在金融-能源不平等的情况下，经济体如何使增长脱碳？全球的证据

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108172

Aviral Kumar Tiwari , Hai Hong Trinh , Diem Thi Hong Vo , Gagan Deep Sharma

{"title":"How do economies decarbonize growth under finance-energy inequality? Global evidence","authors":"Aviral Kumar Tiwari , Hai Hong Trinh , Diem Thi Hong Vo , Gagan Deep Sharma","doi":"10.1016/j.eneco.2024.108172","DOIUrl":"10.1016/j.eneco.2024.108172","url":null,"abstract":"<div><div>The study investigates the multidecade complexity between economic growth and carbon emissions across income groups and regions for 180 economies over the past decades. We find that the global economy has been decarbonizing its economic growth. The effects of growth on decarbonization are conditional on outcome distributions. The Paris Agreement (COP21) and renewable energy consumption (REC) are robust mechanisms toward green growth. Financial development (FD) presents its moderation to decarbonized growth. The study makes the following novel contributions to prior literature streams. First, complex GDP-CO2 nexuses are conditional on green factors and decarbonization is foremost for our global inclusive growth. Second, the friendliness of FD to the environment relies on green transition. It is worth noting that financial institutions and markets are exposed to climate risk drivers leading to our great challenge to promote green finance. Decarbonization is our global and constant efforts toward inclusive growth. Under finance-energy inequality, renewable energy capacity and finance are critical to decarbonized economic growth.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108172"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968134","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

Intermittency and uncertainty in wind and solar energy: Impacts on the French electricity market 风能和太阳能的间歇性和不确定性：对法国电力市场的影响

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108176

Maurice K. Ekoue , Matt Woerman , Cédric Clastres

引用次数: 0

Corrigendum to “Energy policy diversity and green bond issuance around the world” [Energy Economics Volume 128, December 2023, 107116] “全球能源政策多样性与绿色债券发行”的勘误表[能源经济，2023年12月，107116]

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108206

Charilaos Mertzanis

引用次数: 0

The scheduling role of future pricing information in electricity markets with rising deployments of energy storage: An Australian National Electricity Market case study 随着储能系统部署的增加，未来电价信息在电力市场中的调度作用：澳大利亚国家电力市场案例研究

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108191

Abhijith Prakash , Anna Bruce , Iain MacGill

{"title":"The scheduling role of future pricing information in electricity markets with rising deployments of energy storage: An Australian National Electricity Market case study","authors":"Abhijith Prakash , Anna Bruce , Iain MacGill","doi":"10.1016/j.eneco.2025.108191","DOIUrl":"10.1016/j.eneco.2025.108191","url":null,"abstract":"<div><div>In wholesale electricity markets, resource schedules result from market participant decisions informed by knowledge processes, which provide current and forecasted power system and market information. Ensuring that these knowledge processes and market participation rules are purpose-fit is becoming increasingly important with growing deployments of energy storage resources expected to aid in balancing high renewables power systems through energy arbitrage.</div><div>Our study explores the scheduling coordination role of centralised price forecasts generated by the system and market operator in the fast, flexible and volatile Australian National Electricity Market. Our work offers three contributions: (1) highlighting the increasing frequency and severity of errors in these forecasts, and proposing a hypothesis that market participant (re)bidding is partially responsible for this phenomenon; (2) modelling the extent to which arbitrage revenues might be reduced should these forecasts guide battery energy storage scheduling; and (3) discussing potential changes to participant scheduling strategies and market design that could improve scheduling outcomes. We recommend that Australian policy-makers not only increase the frequency at which centralised knowledge processes are run, but also consider whether stricter market participation restrictions might incentivise participant bidding strategies that are less likely to induce sudden price swings that can hamper effective scheduling.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108191"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990176","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

The effectiveness of future financial benefits on PV adoption — Evidence from Belgium 光伏采用的未来经济效益的有效性——来自比利时的证据

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108141

Justus Böning , Kenneth Bruninx , Marten Ovaere , Guido Pepermans , Erik Delarue

{"title":"The effectiveness of future financial benefits on PV adoption — Evidence from Belgium","authors":"Justus Böning , Kenneth Bruninx , Marten Ovaere , Guido Pepermans , Erik Delarue","doi":"10.1016/j.eneco.2024.108141","DOIUrl":"10.1016/j.eneco.2024.108141","url":null,"abstract":"<div><div>We assess the effect of different incentive schemes with future financial benefits on photovoltaic (PV) adoption patterns in the residential sector for the two biggest regions of Belgium - Flanders and Wallonia. Due to variation in incentive schemes across the regions and within regions across months, we can identify the effect of changes in future benefits on adoption. We combine and compare three distinct and widely used incentive schemes for PV, namely output-based, capacity-based and net metering, which is electricity cost saving-based. We find that PV adoption in the residential sector is highly sensitive to overall future financial benefits. A one percent increase in overall benefits per kW of installed capacity increases the number of installations by around 6%. However, the different incentive schemes have varying degrees of effectiveness. In particular, capacity- and output-based incentive schemes, which directly compensate households with a fixed price per produced amount of electric energy or per installed capacity annually are around 6 percentage points more effective in fostering PV uptake than the cost saving-based net metering, which depends on future electricity prices and production. Furthermore, the average size of new installations depends on whether incentive schemes remunerate for additional capacity.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108141"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990216","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 time-varying asymmetric effects of environmental regulation policies and human capital on sustainable development efficiency: A province level evidence from China” [Energy Economics Volume 126, October 2023, 106922]

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108205

Muhammad Zubair Chishti , Nadia Arfaoui , Calvin W.H. Cheong

引用次数: 0

Supply chain digitization and continuous green innovation: Evidence from China

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108158

Gaoyang Jiang , Jie Peng , Xintong Liang , Junyu Pan

{"title":"Supply chain digitization and continuous green innovation: Evidence from China","authors":"Gaoyang Jiang , Jie Peng , Xintong Liang , Junyu Pan","doi":"10.1016/j.eneco.2024.108158","DOIUrl":"10.1016/j.eneco.2024.108158","url":null,"abstract":"<div><div>This study explores the causality between supply chain digitization and continuous green innovation (CGI). It constructs a dataset covering green patent applications, financial data of listed companies, and the economic profiles of cities from 2013 to 2022. The research leverages the supply chain pilot policy introduced by the Chinese government in 2018 as a quasi-natural experiment, employing various instruments for analysis such as difference-in-differences model and event study method. The empirical findings indicate that (1) supply chain digitization significantly boosts CGI; (2) this impact is more pronounced in high-tech companies, those with highly concentrated supply chains, and those with superior governance standards; (3) financing constraints, risk-taking capability, and investor attention are the key intrinsic mechanisms through which supply chain digitization influences CGI; (4) the positive effect of supply chain digitization on CGI enhances company performance and promotes spatial cooperation. These results offer valuable insights for improving supply chain management and achieving sustainable development.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108158"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145212","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

Do energy transition investment flows aid climate commitments? 能源转型投资是否有助于气候承诺？

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108163

Kwamie Dunbar , Daniel N. Treku

引用次数: 0