Energy EconomicsPub Date : 2024-10-28DOI: 10.1016/j.eneco.2024.107981
Xinya Wang , Xueyun Rong , Lei Yin
{"title":"Discerning the impact of global geopolitical risks on China's energy futures market spillovers: Evidence from higher-order moments","authors":"Xinya Wang , Xueyun Rong , Lei Yin","doi":"10.1016/j.eneco.2024.107981","DOIUrl":"10.1016/j.eneco.2024.107981","url":null,"abstract":"<div><div>Global geopolitical risks matter to China's energy futures market. Through a three-stage research framework combining higher-order moment (third- and fourth-order moments), time-frequency spillover model, and the random forest technique, we identify the influence of global energy countries' geopolitical risks on China's energy futures spillovers under different time horizons. Our third-order moment (skewness) spillover results indicate that crude oil and fuel oil futures primarily play the role of net transmitters in the short-term time scale, while coking coal and bitumen futures are mainly net recipients. In the medium- and long- term time scales, however, thermal coal and fuel oil are stable net recipients. For the fourth-order moment (kurtosis) spillovers, the crude oil consistently acts as the transmitters across all time horizons, with a relatively significant net spillover value. Moreover, Russia's geopolitical risk has the most prominent impact on spillovers in China's energy futures market, followed by Saudi Arabia. Additionally, Russia and Saudi Arabia are more likely to impact upside and downside market spillovers, respectively. These results provide some implications for different types of investors and policy makers.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107981"},"PeriodicalIF":13.6,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573145","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}
Energy EconomicsPub Date : 2024-10-28DOI: 10.1016/j.eneco.2024.107997
Rudolf Kapeller , Jed J. Cohen , Andrea Kollmann , Johannes Reichl
{"title":"Corrigendum to “Incentivizing residential electricity consumers to increase demand during periods of high local solar generation” [Energy Economics, Volume 127, Part A, November 2023, 107028]","authors":"Rudolf Kapeller , Jed J. Cohen , Andrea Kollmann , Johannes Reichl","doi":"10.1016/j.eneco.2024.107997","DOIUrl":"10.1016/j.eneco.2024.107997","url":null,"abstract":"","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107997"},"PeriodicalIF":13.6,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532806","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}
Energy EconomicsPub Date : 2024-10-26DOI: 10.1016/j.eneco.2024.107989
Alexandre Street , Pedro Prescott
{"title":"On the regulatory and economic incentives for renewable hybrid power plants in Brazil","authors":"Alexandre Street , Pedro Prescott","doi":"10.1016/j.eneco.2024.107989","DOIUrl":"10.1016/j.eneco.2024.107989","url":null,"abstract":"<div><div>The complementarity between renewable generation profiles has been widely explored in the literature. Notwithstanding, complex interactions between regulatory and economic frameworks add interesting challenges and opportunities for hybrid power plant investors, regulators, and planners. Focusing on the Brazilian power market, we study the alignment of incentives between the economically-optimized strategy of hybrid power plant investors and the efficient utilization of the transmission resources. To do that, we propose a decision model that co-optimizes the risk-adjusted strategy of a hybrid power plant owner comprising (i) the forward-market involvement, (ii) the contracted amount of network access, and (iii) the share of renewable sources composing the hybrid power plant. We also propose adjusting the current regulatory framework to consider a unified calculation for the Firm Energy Certificates of non-controllable renewable power plants, including hybrid units. Based on that, we ensure a non-discriminatory regulatory framework for renewables acknowledging the diversity of generation profiles that hybrid units may have due to their optimal hybridization shares and network-access contracting strategies. A case study using realistic data from the northeastern region of the Brazilian power system showcases strong economic incentives for hybridization with reduced transmission resource utilization.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107989"},"PeriodicalIF":13.6,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579123","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}
Energy EconomicsPub Date : 2024-10-26DOI: 10.1016/j.eneco.2024.107980
Štefan Lyócsa , Neda Todorova
{"title":"What drives the uranium sector risk? The role of attention, economic and geopolitical uncertainty","authors":"Štefan Lyócsa , Neda Todorova","doi":"10.1016/j.eneco.2024.107980","DOIUrl":"10.1016/j.eneco.2024.107980","url":null,"abstract":"<div><div>Interest in nuclear energy has increased recently due to its low-carbon footprint, energy security concerns, and technological advances. Despite the recent surge in uranium stocks, there is a lack of research on uranium sector volatility. We fill this gap by analyzing the volatility of the Global X Uranium ETF (URA) from 2010 to 2024 using high-frequency data. Our analysis reveals that HAR models effectively capture URA volatility. Market-wide implied volatility and investor attention, captured by Google search volume, are found to contain valuable information for forecasting uranium sector volatility in an in-sample context. In contrast, economic and geopolitical uncertainty, as well as global financial risk, exhibit limited relevance. Although advanced models show some improvement in out-of-sample predictions, the basic HAR model remains a robust benchmark.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107980"},"PeriodicalIF":13.6,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594036","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}
Energy EconomicsPub Date : 2024-10-24DOI: 10.1016/j.eneco.2024.107988
Zequn Dong , Chaodan Tan , Biao Ma , Zhaoshuo Ning
{"title":"The impact of artificial intelligence on the energy transition: The role of regulatory quality as a guardrail, not a wall","authors":"Zequn Dong , Chaodan Tan , Biao Ma , Zhaoshuo Ning","doi":"10.1016/j.eneco.2024.107988","DOIUrl":"10.1016/j.eneco.2024.107988","url":null,"abstract":"<div><div>In recent years, the economic impact and environmental contribution of Artificial Intelligence (AI) have gradually become a new focus in academia. This study uses a panel data sample of 50 countries to explore the impact of AI on energy transition (ET), aiming to fill an important research gap. The results highlight several critical insights. First, AI has had a significant positive impact on facilitating the ET. This conclusion still holds after a series of robustness tests. Second, AI positively affects ET by promoting renewable energy technology innovation and upgrading the electricity structure, resulting in both technological and structural effects. Third, the impact of AI on ET is non-linear. Threshold effect models show that AI impacts ET differently at various levels of regulation quality (RQ), exhibiting a double threshold effect. AI hinders ET when RQ is lower than the first threshold value. When RQ is in the second range, AI significantly facilitates ET. However, when RQ exceeds the second threshold value, AI hinders ET again. These findings provide insights into the mechanisms of AI's impact on ET and emphasize that an appropriate level of regulation is crucial for AI to facilitate ET. Finally, this study analyzes heterogeneity and offers targeted policy recommendations.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107988"},"PeriodicalIF":13.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660146","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}
Energy EconomicsPub Date : 2024-10-24DOI: 10.1016/j.eneco.2024.107970
Philip Kofi Adom
{"title":"Regulatory impact of informality on gasoline consumption efficiency in Africa: A proposed two-part complementary hypothesis test","authors":"Philip Kofi Adom","doi":"10.1016/j.eneco.2024.107970","DOIUrl":"10.1016/j.eneco.2024.107970","url":null,"abstract":"<div><div>This study provides new evidence for the regulatory impact of informality on gasoline efficiency in Africa. I propose a Two-Part Complementary Hypothesis (hereafter referred to as the TPCH test), advocating a differential approach to promoting gasoline efficiency: (1) an inverted U-shaped relationship between informality and gasoline inefficiency, and (2) a U-shaped relationship between government regulation and informality, with a significant level effect. The findings indicate an inverted U-shaped effect of informality on gasoline efficiency and a level-negative effect of regulation on informality. These results suggest a differential strategy for enhancing gasoline efficiency. Government regulation is more effective in economies at the pre-saturation stage (characterized by normal growth levels of informality) but proves ineffective in economies at the post-saturation stage (characterized by abnormal growth levels of informality), where energy-saving behaviors may be self-motivated. This is corroborated by the inefficiency equation, where indicators of good governance, such as the rule of law, control of corruption, and regulatory quality, are statistically significant in advancing energy efficiency goals. Gasoline efficiency performance varies across countries, with the higher performers also being the continent's most economically advanced. However, these estimates risk downward bias if outliers or unobserved/observed heterogeneity are not considered.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107970"},"PeriodicalIF":13.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552628","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}
Energy EconomicsPub Date : 2024-10-24DOI: 10.1016/j.eneco.2024.107985
Hakan Yilmazkuday
{"title":"Geopolitical risks and energy uncertainty: Implications for global and domestic energy prices","authors":"Hakan Yilmazkuday","doi":"10.1016/j.eneco.2024.107985","DOIUrl":"10.1016/j.eneco.2024.107985","url":null,"abstract":"<div><div>This paper investigates the interaction between global geopolitical risks and global energy uncertainty by focusing on their implications for global and domestic energy prices of 157 countries. The empirical investigation is based on a structural vector autoregression model covering the monthly sample period between 1996 m1-2022m10, where global real economic activity is controlled for. The results show that a unit shock to global geopolitical risk (normalized to one standard deviation) results in about 1.13 units of an increase in global energy uncertainty (normalized to one standard deviation) in the long run (after two years), whereas the corresponding effects on global energy prices are statistically insignificant. In contrast, a unit shock to global energy uncertainty results in about 52 % (57 %) of a reduction in global energy prices (global economic activity), acting like negative global demand shocks. When statistically significant country-specific results are considered in the long run, a positive shock to the global geopolitical risk affects domestic energy prices positively (negatively) in 10 % (10 %) of oil producing countries, 32.1 % (19.7 %) of non-oil producing countries, 47.2 % (0 %) of advanced economies, 55 % (0 %) of euro area countries, 25 % (22.4 %) of emerging markets, and 22.2 % (26.7 %) of developing countries. In comparison, a positive shock to the global energy uncertainty affects domestic energy prices positively (negatively) in 5 % (40 %) of oil producing countries, 3.6 % (54 %) of non-oil producing countries, 0 % (61.1 %) of advanced economies, 0 % (50 %) of euro area countries, 3.9 % (56.6 %) of emerging markets, and 6.7 % (37.8 %) of developing countries. Important policy implications follow regarding the energy security of countries.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107985"},"PeriodicalIF":13.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552629","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}
Energy EconomicsPub Date : 2024-10-24DOI: 10.1016/j.eneco.2024.107987
Wei Hao , Linh Pham
{"title":"Dynamic connectedness in the higher moments between clean energy and oil prices","authors":"Wei Hao , Linh Pham","doi":"10.1016/j.eneco.2024.107987","DOIUrl":"10.1016/j.eneco.2024.107987","url":null,"abstract":"<div><div>Focusing on clean energy stocks and oil prices, we find that connectedness between these assets not only exists in volatility, but also at higher-order moments, such as skewness and kurtosis, which have been largely under studied in the existing literature. Estimating the connectedness using intra-day data, our initial static analyses suggest that the connectedness between the clean energy and oil markets is heterogenous across the moments and the shock transmitter/recipient role played by each market varies across moments. Further dynamic analyses indicate that higher-order moment connectedness is also time varying and appears to be stronger during uncertain market conditions. In addition, we identify day-of-the-week patterns of higher-order moment connectedness during high uncertainty periods, but these patterns appear to be reversed during low uncertainty periods. The employment of Markov switching regression models further corroborates the market uncertainties as the determinants of higher-order moment connectedness. As an important extension, we provide empirical evidence that including clean energy stocks in the investment portfolio can effectively hedge oil price risks and considering higher-order moments in constructing investment strategies adds extra value to investors. Our utility-based hedging strategy and minimum connectedness portfolio can offer higher utility gains and better risk-return trade-offs to those investors who are not infinitely risk-averse.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107987"},"PeriodicalIF":13.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552630","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}
Energy EconomicsPub Date : 2024-10-23DOI: 10.1016/j.eneco.2024.107977
Tong Su , Boqiang Lin
{"title":"Reassessing the information transmission and pricing influence of Shanghai crude oil futures: A time-varying perspective","authors":"Tong Su , Boqiang Lin","doi":"10.1016/j.eneco.2024.107977","DOIUrl":"10.1016/j.eneco.2024.107977","url":null,"abstract":"<div><div>The Shanghai crude oil futures market, known as INE, has achieved significant success in trading volume and is increasingly recognized as a nascent crucial oil futures contract. As INE aims to serve as a pivotal global pricing reference, evaluating the dynamic characteristics of its pricing capability is essential for comprehending the evolving market landscape. This study initiates with foundational insights from a time-varying perspective. We uncover the time-varying information transmission of INE within the crude oil futures system and reveal its time-varying predictive causality on crude oil spot prices. The empirical findings yield several significant observations. Firstly, the Shanghai crude oil futures consistently functioned as the net receiver of price information transmission from mainstream international crude oil futures. Secondly, during the initial months of post-INE listing, and amid the global spread of COVID-19, Shanghai crude oil futures displayed less information received. Thirdly, the significant predictive causal influence of INE on the crude oil spot markets is predominantly observed to be valid post-2021, with its predictive capabilities exhibiting an ongoing enhancement. Our findings indicate that INE is gradually solidifying and strengthening its role as an influential player in the global crude oil market as it matures.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107977"},"PeriodicalIF":13.6,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573144","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}
Energy EconomicsPub Date : 2024-10-23DOI: 10.1016/j.eneco.2024.107984
Yanfang Zhang , Qi Gao , Hao Li , Xunpeng Shi , Dequn Zhou
{"title":"Navigating the energy transition with the Carbon-Energy-Green-Electricity scheme: An industrial chain-based approach for China's carbon neutrality","authors":"Yanfang Zhang , Qi Gao , Hao Li , Xunpeng Shi , Dequn Zhou","doi":"10.1016/j.eneco.2024.107984","DOIUrl":"10.1016/j.eneco.2024.107984","url":null,"abstract":"<div><div>In exploring the intricate dynamics of China's energy transition towards a national certificate trading market, this study harnesses a two-stage game model to unravel the nuanced decision-making within the intertwined carbon emissions trading, energy-consumption permit trading, and electricity markets. A novel industrial chain-based policy framework, i.e., the Carbon-Energy-Green-Electricity (CEGE) scheme, is introduced to address the complexity inherent in aligning these trading markets towards carbon neutrality goals. Findings reveal that the current isolated energy transition policies lead to increased electricity prices and imposes redundant regulatory burdens on power companies. By advocating for the CEGE scheme, the study presents a strategic approach to alleviate these challenges, highlighting its potential to lower electricity costs and foster more efficient carbon reduction efforts. Furthermore, it underscores the importance of integrating energy transition policies, including CET, ECPTS, the renewable portfolio standards (RPS), and the tradable green certificate program (TGC), to enhance renewable energy adoption, offering a path to relieve financial pressures on households while supporting broader environmental and economic welfare improvements.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107984"},"PeriodicalIF":13.6,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552612","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}