Energy Economics最新文献_第3页

Do supply chain and digitalization Foster China's advancement in green development? An evidence from wavelet quantile regression and wavelet quantile correlation analysis

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108099

Mohammad Maruf Hasan , Lanrui Li

{"title":"Do supply chain and digitalization Foster China's advancement in green development? An evidence from wavelet quantile regression and wavelet quantile correlation analysis","authors":"Mohammad Maruf Hasan , Lanrui Li","doi":"10.1016/j.eneco.2024.108099","DOIUrl":"10.1016/j.eneco.2024.108099","url":null,"abstract":"<div><div>Effective environmental technologies are crucial in addressing China's sustainability challenges, especially in green technology, green supply chains, and smart development. This study addresses the research gap in prioritizing green technologies, production or processing of goods, digital assistants, and financial mechanisms through specific policies to accelerate China's green development and strengthen its global environmental leadership. In this context, the study aims to investigate the relationships among supply chain disruptions, digitalization, remittances, research & development (R&D), and GDP on environment-related technologies in the Chinese economy by employing the wavelet quantile regression and wavelet quantile correlation analysis using quarterly data from 1995 to 2021. The results show a strong relationship among supply chain, digitalization, remittances, and R&D on environmental technology in the short term; however, these relationships tend to weaken over time. The correlation with GDP is relatively weak in the short term and strengthens only under specific long-term conditions. These findings emphasize the significance of examining both temporal and distributional aspects when assessing the influence of different factors on environmental technology. Study findings offer valuable insights for policymakers and stakeholders.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108099"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145219","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 renewable energy policies affect energy green development? Evidence from Chinese listed energy firms

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108154

Jingxue Zhang , Shiwei Yu , Yue-Jun Zhang , Bin Su , Ya-Fang Sun

{"title":"How do renewable energy policies affect energy green development? Evidence from Chinese listed energy firms","authors":"Jingxue Zhang , Shiwei Yu , Yue-Jun Zhang , Bin Su , Ya-Fang Sun","doi":"10.1016/j.eneco.2024.108154","DOIUrl":"10.1016/j.eneco.2024.108154","url":null,"abstract":"<div><div>To advance energy green development, the Chinese government attaches great importance to renewable energy policies (REP). Green technological innovation (GTI) by energy firms is a critical driver of energy green development; however, how city-level REP affect the GTI of energy firms remains unresolved. To this end, using the panel data from 821 A-share listed energy firms in China covering 2004–2021, this study adopts a staggered difference-in-differences model and the number of green patent applications to proxy for GTI to investigate this issue. The relevant results are threefold. (1) REP significantly increase the GTI of Chinese energy firms by 23.9 % during the research period. Compared with state-owned, small-scale, and high-tech energy firms, REP can better improve the GTI of non-state-owned, large-scale, and non-high-tech energy firms. (2) Regarding the influence mechanisms of REP on GTI, the mediating effects of financing constraints, corporate green governance, and information asymmetry are all significant, accounting for 1.065 %, 1.974 %, and 1.406 % of the total REP effect, respectively. Nevertheless, the three mediating effects are not all significant for heterogeneous energy firms. (3) As for the moderating effects, economic policy uncertainty and CEO green experience both significantly facilitate the REP effect on the GTI of Chinese energy firms, except for non-high-tech energy firms.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108154"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145221","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 optimal incentive and constraint mechanisms for corporate carbon information disclosure considering different market contexts: A network-based evolutionary game analysis 不同市场环境下企业碳信息披露的最优激励约束机制研究——基于网络的演化博弈分析

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108207

Chaoping Zhu , Yixuan Su , Ruguo Fan , Ruiheng Xu , Bing Li

{"title":"Research on the optimal incentive and constraint mechanisms for corporate carbon information disclosure considering different market contexts: A network-based evolutionary game analysis","authors":"Chaoping Zhu , Yixuan Su , Ruguo Fan , Ruiheng Xu , Bing Li","doi":"10.1016/j.eneco.2025.108207","DOIUrl":"10.1016/j.eneco.2025.108207","url":null,"abstract":"<div><div>Corporate carbon information disclosure (CCID) is essential for facilitating a low-carbon transition in energy-intensive industries and achieving the “dual carbon” goals. However, many enterprises fail to fulfill their CCID obligations. This paper develops a complex network evolutionary game model for examining CCID in diverse market contexts and determining optimal incentive and constraint mechanisms. The findings reveal that: (1) The optimal single tax discount incentive or joint punishment constraint in a perfectly competitive market is lower than that in a monopolistically competitive market. (2) There is no notable discrepancy in the optimal single financial penalty constraints between the two market contexts. (3) The optimal combined incentive and constraint and the evolutionary time of CCID in a perfectly competitive market are less than those in a monopolistically competitive market. (4) Joint punishments reduce the optimal constraint for the complete diffusion of CCID compared to financial penalties, and combined mechanisms shorten the evolutionary time of CCID compared to the single mechanisms. This study not only identifies the optimal incentive and constraint mechanisms for CCID under single and combined scenarios, but also offers practical insights for the formulation of effective strategies to guide CCID in different market contexts.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108207"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990175","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 does corporate digital transformation affect green innovation? Evidence from China's enterprise data

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108217

Jian Zhang , Chin-Hsien Yu , Jinsong Zhao , Chi-Chuan Lee

{"title":"How does corporate digital transformation affect green innovation? Evidence from China's enterprise data","authors":"Jian Zhang , Chin-Hsien Yu , Jinsong Zhao , Chi-Chuan Lee","doi":"10.1016/j.eneco.2025.108217","DOIUrl":"10.1016/j.eneco.2025.108217","url":null,"abstract":"<div><div>Considering that corporate digital transformation plays a crucial role in promoting the sustainable growth of enterprises, the impact of this technological evolution on green innovation warrants additional investigation. Using firm-level data from China for the 2011–2020 period, our study demonstrates the influence of digital transformation on corporate green innovation. Our findings show that environmental information, when gathered through digital technologies, can guide firms in their green innovation efforts and assist in securing financial resources. Heterogeneity analysis suggests that in areas with stricter environmental regulations and non-high-tech firms, digital transformation exhibits a more pronounced ability to bolster green innovative capacity. Evidence also reveals the interplay between digital transformation and investors' green attention, indicating a notable positive influence on corporate green innovation. These insights provide valuable implications for both governments and corporations on how digital transformation can be harnessed to advance green innovation and achieve balanced sustainable development in both the economic and environmental dimensions.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108217"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144479","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

Navigating renewable technological innovations and green supply chain management: Crafting a novel framework for boosting ecological quality in China

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108178

Xiaoxi Liu , Yunqiu Zhan , Dingwen Si , Zhen Wang

{"title":"Navigating renewable technological innovations and green supply chain management: Crafting a novel framework for boosting ecological quality in China","authors":"Xiaoxi Liu , Yunqiu Zhan , Dingwen Si , Zhen Wang","doi":"10.1016/j.eneco.2025.108178","DOIUrl":"10.1016/j.eneco.2025.108178","url":null,"abstract":"<div><div>Green supply chain management and renewable technological innovations are integral to sustainable development goal (SDG) 9. Additionally, it serves as the basis for generating eco-friendly energy, indirectly contributing to the achievement of SDG 9. The shift from fossil fuels to green energy sources is crucial for sustainable development and promoting an eco-friendly setting. Therefore, this study examines the major driving forces of ecological quality (proxied by load capacity factor) between 1990Q1 and 2022Q4. Other factors, including natural gas consumption and energy prices, are also studied. The recently proposed quantile-based KRLS and Granger causality are utilized to solve the non-linear and non-normal distribution of the series. The findings of QQKRLS reveal that renewable technological innovations increase load capacity factor (LCF) across all quantiles, thus improving ecological quality. On the other hand, across all quantiles, natural gas consumption, energy prices, economic growth, urbanization, and green supply chain management lessen LCF, thus decreasing ecological quality. The QQGC results show that all the regressors (renewable technological innovations, natural gas consumption, energy prices, economic growth, and green supply chain management) can significantly predict LCF across all quantiles. The study formulates policies in line with these findings.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108178"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144863","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

Policy mixes to promote the diffusion of battery electric vehicles with an agent-based model and experiments using the case of China

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108152

Ronghui Zhu , Tieju Ma

{"title":"Policy mixes to promote the diffusion of battery electric vehicles with an agent-based model and experiments using the case of China","authors":"Ronghui Zhu , Tieju Ma","doi":"10.1016/j.eneco.2024.108152","DOIUrl":"10.1016/j.eneco.2024.108152","url":null,"abstract":"<div><div>Battery electric vehicles (BEVs) are effective tools for reducing carbon emissions. Incentive policies play an important role in promoting the development of emerging industries such as BEVs. The design of incentive policies to promote the diffusion of BEVs has been a critical focus in recent research. This study explores cost-effective financial incentive policies that consider regional heterogeneity. An agent-based model is developed that incorporates the individual heterogeneity of consumers and competition between BEVs and traditional internal combustion engine vehicles. The results indicate that consumer subsidies have a more direct promotional effect than manufacturer subsidies; however, this effect must be sustained by ongoing subsidies. Additionally, a policy mix is more efficient because an incentive policy can function better when combined with other policies. Furthermore, the inputs of subsidies are not “the more, the better,” and an appropriate mix of policies can result in better diffusion of BEVs. Finally, regional heterogeneities (e.g., potential market size and initial BEV ownership share) are important when designing incentive policies.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108152"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145751","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 unexpected geopolitical risk affect the nonlinear spillover among energy and metal markets? 意外的地缘政治风险如何影响能源和金属市场的非线性溢出效应？

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108143

Shupei Huang , Xinya Wang , Qiang Ji

{"title":"How unexpected geopolitical risk affect the nonlinear spillover among energy and metal markets?","authors":"Shupei Huang , Xinya Wang , Qiang Ji","doi":"10.1016/j.eneco.2024.108143","DOIUrl":"10.1016/j.eneco.2024.108143","url":null,"abstract":"<div><div>Geopolitical risk interacts with natural resource commodity markets closely and dynamically, which complicates the fluctuation spillover among those markets. We firstly uncover the overall and dynamic information spillover features among energy and metal markets, namely traditional energy, transition energy, new energy metals, precious metals, and traditional bulk metals in the nonlinear causal network constructed by combining the leave-one-out and transfer entropy methods. We then quantify the systemic significance of each sector in that network and further explore the impact of unexpected geopolitical risk in multiple-order moments on the significance of each sector during the sample period from January 4, 2011 to May 7, 2024. The results indicate that precious metals and traditional bulk metals are the two most significant sectors in the nonlinear causal network for information spillovers during the overall sample period, followed by traditional energy, new energy metals, and transition energy sectors; from a dynamic perspective, the significance of the transition energy and new energy metal sectors fluctuates with greater amplitude compared to other sectors. Regarding the impact of geopolitical risk on the significance of each sector, unexpected geopolitical risks have a more significant influence on energy and metal markets compared to generic geopolitical risks; moreover, the mean value of geopolitical risks exerts a greater effect on all sectors than its higher-order moment counterparts; all sectors except the traditional bulk metal sector, their systemic significance is sensitive to geopolitical shocks, especially above the 50th percentile. These results may offer effective references for financial risk management during the energy transition process.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108143"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142889329","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

Supply chain digitalization, green technology innovation and corporate energy efficiency

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108153

Zhiyi Li , Boqiang Hu , Yifei Bao , Yifei Wang

{"title":"Supply chain digitalization, green technology innovation and corporate energy efficiency","authors":"Zhiyi Li , Boqiang Hu , Yifei Bao , Yifei Wang","doi":"10.1016/j.eneco.2024.108153","DOIUrl":"10.1016/j.eneco.2024.108153","url":null,"abstract":"<div><div>As global concerns over energy consumption and carbon emissions continue to intensify, improving energy efficiency has become a key challenge for organizations. There is an urgent need to explore new paths to improve energy efficiency. Based on the data of listed companies in China from 2013 to 2022 and using the implementation of supply chain innovation and application pilot work as a quasi-natural experiment, we use the PSM-DID model to assess the effect of supply chain digitization on corporate energy efficiency as well as the role of the potential mechanism of green technology innovation. It was found that supply chain digitization significantly promoted enterprise energy efficiency. The conclusion remains valid after robustness tests such as parallel trend tests, sensitivity tests, and placebo tests. Mechanistic analysis suggests that supply chain digitization can promote corporate energy efficiency by facilitating the quantity, quality, and innovation persistence of green technology innovations, which in turn promotes corporate energy efficiency. Heterogeneity analysis shows that the energy efficiency promotion effect of supply chain digitization is stronger for firms with lower institutional attention, larger scale, growth, and maturity. The conclusions of this paper suggest that policymakers and business managers should pay attention to the potential value of supply chain digitization in promoting corporate energy efficiency and supporting environmental sustainability, with a view to achieving both economic and environmental benefits.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108153"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145223","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 digitalizing ICT and supply chain globalization affect renewable energy in ASEAN nations? The mediating role of sustainable environmental practices using the MMQR and PCSEs model 信息通信技术数字化和供应链全球化如何影响东盟国家的可再生能源？使用的中介作用环境可持续发展措施MMQR和电脑模型

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108166

Jingping Chen , Chunzi Zhao , Shuang Liu , Yuchen Li

{"title":"How do digitalizing ICT and supply chain globalization affect renewable energy in ASEAN nations? The mediating role of sustainable environmental practices using the MMQR and PCSEs model","authors":"Jingping Chen , Chunzi Zhao , Shuang Liu , Yuchen Li","doi":"10.1016/j.eneco.2024.108166","DOIUrl":"10.1016/j.eneco.2024.108166","url":null,"abstract":"<div><div>The rapid growth of global energy demands and heightened environmental concerns highlight the critical need to transition to renewable energy sources. Identifying the influence of digitalization of ICT and global supply chains on sustainable practices to mitigate environmental impacts is crucial. This study aims to fill the research gap by examining the effects of manufacturing, digitalization of ICT, supply chain globalization, trade, and GDP on renewable energy consumption in the ASEAN countries. Utilized the Method of Moment Quantile Regression (MMQR) and Prais-Winsten regression with Panel-Corrected Standard Errors (PCSEs) to analyze data from 1995 to 2023. The MMQR results show that manufacturing has overall positive effects at lower quantiles, while digital ICT and supply chain globalization have negative effects across all quantiles. Trade shows an insignificant impact on renewable energy, while economic growth shows a negative effect at higher quantities. The PCSEs model shows stronger negative effects of supply chain globalization and trade on renewable energy consumption. Such effects highlight the need for policy efforts to target the incorporation of renewable energy because of the manifold impacts of economic processes and technology developments.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108166"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968125","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 suppress firms' greenwashing behavior? Evidence from robot adoption in China

IF 13.6 2区经济学

Energy Economics Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108168

Caiquan Bai , Di Yao , Qihang Xue

{"title":"Does artificial intelligence suppress firms' greenwashing behavior? Evidence from robot adoption in China","authors":"Caiquan Bai , Di Yao , Qihang Xue","doi":"10.1016/j.eneco.2024.108168","DOIUrl":"10.1016/j.eneco.2024.108168","url":null,"abstract":"<div><div>Determining approaches to effectively suppress firms' greenwashing practices has become a popular topic in academic and professional circles. Given that artificial intelligence (AI) applications in production are mainly achieved using industrial robots, we investigate the impact of AI applications on firms' greenwashing behavior using industrial robot data from the International Federation of Robotics and data from Chinese listed firms from 2011 to 2019. The results demonstrate that AI applications can significantly suppress firms' greenwashing practices. We also identify three key mechanisms through which AI achieves this effect by reducing costs and increasing profits, improving productivity, and alleviating information asymmetry. Furthermore, the inhibitory effect of AI applications on firms' greenwashing behavior is more significant for firms with insufficient cash flow, firms without bank relationships, and those located in regions with good institutional environments and high human capital levels. This study provides a new perspective for suppressing firms' greenwashing practices by promoting AI applications, filling gaps in the existing literature.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108168"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145215","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