Energy Strategy Reviews最新文献

{"title":"To tax or to trade? A global review of carbon emissions reduction strategies","authors":"Jingjing Pan ,&nbsp;Jamie L. Cross ,&nbsp;Xiaomin Zou ,&nbsp;Bo Zhang","doi":"10.1016/j.esr.2024.101508","DOIUrl":"10.1016/j.esr.2024.101508","url":null,"abstract":"<div><p>Carbon taxes and emissions trading systems (ETSs) are the two most popular policy tools in the global effort to achieve net-zero carbon emissions. Herein, we review empirical and theoretical research on carbon taxes and ETSs, focusing on the policies’ design, implementation, and effectiveness in various environmental and economic contexts. We provide a comprehensive comparison of the relative advantages and disadvantages of these two policies and offer insights into their future design and application. Our main conclusion is that an integrated mechanism that combines features of both policies with those of other complementary policies may be a more effective approach to emissions abatement than solitarily using either policy.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101508"},"PeriodicalIF":7.9,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002177/pdfft?md5=84eb7e61be8e54ca417d4baefd6fe11f&pid=1-s2.0-S2211467X24002177-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142077566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics and influencing factors of the industry-university-research collaborative innovation network in China's new energy vehicle industry","authors":"Xiaoping Wang ,&nbsp;Liping Qiu ,&nbsp;Feng Hu ,&nbsp;Hao Hu","doi":"10.1016/j.esr.2024.101505","DOIUrl":"10.1016/j.esr.2024.101505","url":null,"abstract":"<div><p>Industry-university-research collaboration is the primary channel of industrial innovation, and China is a common context for research on innovation in the new energy vehicle industry. This study analyzes the industry-university-research collaborative innovation network in China's new energy vehicle industry using various software programs, including Gephi and ArcGIS, based on collaborative invention patent data related to the new energy vehicle industry provided by the global patent database incoPat. According to the findings of this study, the highest number of patents obtained through industry-university-research collaboration was observed in new energy vehicle device and accessory manufacturing, whereas the number of new entrants was significantly higher than the number of incumbents albeit in a downward trend, suggesting that the creation of new collaborative relationships among new entrants has always been the main phenomenon in the process of building an industry-university-research innovation system in the new energy vehicle industry. As private firms have long been playing an integral role in industry-university-research collaboration in the new energy vehicle industry, the number of private firms in the network exhibited an upward trend annually, while the dual heterogeneous connection mode was the primary connection mode in industry-university-research collaboration. There were some differences between the spatial characteristics of intraprovincial and interprovincial collaboration in the industry-university-research collaborative network in China's new energy vehicle industry. The analysis results obtained using GeoDetector revealed that the influence of economic base, level of openness to the outside world, government dominance, market dominance, regional science and technology finance, and entrepreneurial spirit varied from one stage to another.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101505"},"PeriodicalIF":7.9,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002141/pdfft?md5=af6006eb176ff41369dd54c82d509e94&pid=1-s2.0-S2211467X24002141-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142077540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of energy consumption patterns on peak emissions in China's carbon neutralisation process","authors":"Xinyu Cai ,&nbsp;Hua Xiang ,&nbsp;Haotian Zheng","doi":"10.1016/j.esr.2024.101501","DOIUrl":"10.1016/j.esr.2024.101501","url":null,"abstract":"<div><p>The investigation of the impact of energy consumption patterns on peak emissions in China is pertinent and crucial for achieving global climate goals. The study aims to form a forecast of carbon emissions in China and diagnose the achievement of established decarbonization goals based on structural changes in primary energy consumption until 2030. To achieve the goal, the study formed a Dynamic stochastic general equilibrium (DSGE) model with the implementation of Markov chains. The obtained research results yield important insights into the influence of various scenarios on carbon emissions in China by the year 2030. Specifically, considering structural transformations, an increase in emissions by 15 % can be anticipated, which is 7 % less than predicted by the classical scenario. Among the proposed scenarios, the Net Zero scenario is deemed the most efficient, where emissions could reach a level of 8509.5 million tons of CO₂. Conversely, the New Momentum scenario proves to be the most precarious, as it entails an escalation in coal usage, leading to a 4 % increase in emissions, amounting to 13264.84 million tons of CO₂. The contribution of this study is the approach to conducting carbon emission projections, which is based on the DSGE model with the implementation of Markov chains. This makes it possible to assess the adequacy of the set targets for carbon reduction based on alternative scenarios, which in crisis conditions can overlap and thus complement each other.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101501"},"PeriodicalIF":7.9,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002104/pdfft?md5=8bdd48e3576128f4e9bd8bbfee707c8d&pid=1-s2.0-S2211467X24002104-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142049741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of different CO2 price paths on the development of the European electricity system","authors":"Erdal Tekin,&nbsp;Annika Gillich,&nbsp;Kai Hufendiek","doi":"10.1016/j.esr.2024.101499","DOIUrl":"10.1016/j.esr.2024.101499","url":null,"abstract":"<div><p>In energy system transformation studies, the assumption of linearly rising CO₂ prices is common and based on the decreasing issued European allowances (EUA). The actual auction price for allowances is influenced by market dynamics, resulting in non-linear variations in CO₂ prices due to the possibility of banking allowances. This study explores the impact of non-linear CO₂ price trajectories on the European electricity market. Various scenarios, such as increasing prices with the market interest rate, early price peaks, collapse, or fluctuations, are examined until 2030. The study quantifies the effects on power plant investments, profitability, consumer costs, and government revenues. The findings reveal that early and high price signals lead to an earlier transition with 7 % more wind power plants but at 4 % higher costs. Conversely, lower initial prices delay power plant investments in wind power plants by 6 % and result in 21 % higher emissions. Compensation for climate impact costs can yield a positive cost-benefit analysis in scenarios with early and high price signals when emissions are avoided through mechanisms like the Market Stability Reserve (MSR).</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101499"},"PeriodicalIF":7.9,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002086/pdfft?md5=44b7dfe40edadffb41b755d09b86c269&pid=1-s2.0-S2211467X24002086-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142049740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative study of energy governance on energy resilience: process tracing of China and Thailand's solar power development","authors":"Wei Ye ,&nbsp;Warathida Chaiyapa ,&nbsp;Yuting Li","doi":"10.1016/j.esr.2024.101500","DOIUrl":"10.1016/j.esr.2024.101500","url":null,"abstract":"<div><p>Asia, the world's highest emitting region with surging electricity demand, must transition to clean energy sources for sustainable development. Despite significant progress in solar power deployment, its penetration in the electricity mix remains relatively low. This study employs process tracing to compare solar power development in China and Thailand from 2000 to 2023, representing state-driven and society-centered governance approaches. By analyzing data from secondary sources and conducting online stakeholder interviews, we assess the role of energy governance in fostering resilience during the low-carbon transition. We find state-driven governance exhibits resilience in addressing immediate crises, while society-centered governance drives societal transformation towards a low-carbon future. While state-centric governance suits large-scale centralized renewables, society-centered governance is crucial for distributed renewable projects. Path-dependent governance determines how the energy sector takes in niche innovation, and the reinforced governance structure constrains energy resilience given the interaction within and of the sector with other societal actors. The findings provide insights to inform evidence-based policies and interventions for renewable deployment.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101500"},"PeriodicalIF":7.9,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002098/pdfft?md5=06dbe9d84c62490c6fcc1c9242892c82&pid=1-s2.0-S2211467X24002098-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142049739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing robotics for environmental economics and energy strategy: Advancing global economic policies towards green growth","authors":"Di Zhao ,&nbsp;Yingying Gao ,&nbsp;Ziai Wu ,&nbsp;Muhammad Shabaz","doi":"10.1016/j.esr.2024.101504","DOIUrl":"10.1016/j.esr.2024.101504","url":null,"abstract":"<div><p>The composition of energy consumption is shifting from fossil fuels to renewable energy sources. Determining if reducing energy use may increase green factor production (GFP) is thus crucial. This study, which examines data from 2013 to 2019, indicates that GFP is impacted by both the Robotics and natural resource markets. It conducts a comprehensive analysis of Robotics's impact on the development of green economies using China as a case study and a suitable mathematical model, namely a static panel model (SPM). By applying robotics analytical powers and predictive modelling, the research sheds light on how economic growth and environmental preservation might be balanced, or “green growth.” The magazine aims to find synergies that support the incorporation of AI-driven solutions into policy frameworks, promoting a shift toward more environmentally sustainable practices globally by carefully analyzing global economic policies. It has been observed that different industries and development phases have other impacts of AI on carbon intensity. Furthermore, this investigation dissects GFP into its component elements, green efficiency improvement effects, and technological advancement to elucidate how AI influences green economic growth.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101504"},"PeriodicalIF":7.9,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X2400213X/pdfft?md5=3b58bae7dbdab51a42a544ac5c406620&pid=1-s2.0-S2211467X2400213X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Land competition and its impact on decarbonized energy systems: A case study for Germany","authors":"Marlon Schlemminger ,&nbsp;Clemens Lohr ,&nbsp;Florian Peterssen ,&nbsp;Dennis Bredemeier ,&nbsp;Raphael Niepelt ,&nbsp;Astrid Bensmann ,&nbsp;Richard Hanke-Rauschenbach ,&nbsp;Michael H. Breitner ,&nbsp;Rolf Brendel","doi":"10.1016/j.esr.2024.101502","DOIUrl":"10.1016/j.esr.2024.101502","url":null,"abstract":"<div><p>In densely populated countries, land competition is a key challenge in light of a growing population and the land-intensive decarbonization of energy supply. We apply an energy system model using linear optimization to Germany as an example for a densely populated and industrialized nation with a high energy demand to show how land competition affects the economics of land-intensive renewable energies. Bioenergy crops are currently cultivated on 6.5% of Germany’s land area. We find that allocating only 6% of the total land to the future energy system, which is even less than the current allocation to bioenergy crops, allows for a system that is close to the cost-minimum that we calculate when not restricting the land area. This 6% of the land area is divided into 4% for photovoltaics (PV), 2% for onshore wind and 0% for bioenergy crops. This would save 15<!--> <!-->billion<!--> <!-->€/a (15.1%) relative to the system that matches current political targets for utility-scale PV. For areas exceeding this 6%, we find that the most cost-efficient utilization comes from bioenergy crops, but they only add value to the energy system if there is plenty of land available. The value of land to the energy system is at least twice as high for 0% remaining emissions when compared to the case of 10% remaining green house gas emissions, although both scenarios are separated by less than five years according to current German law. Both our findings underline that considering the value of land as early as possible is necessary when developing state policies that shall lead to cost-efficient renewable energy systems.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101502"},"PeriodicalIF":7.9,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002116/pdfft?md5=91232f7480bf63a3f5f3226dea53b8d6&pid=1-s2.0-S2211467X24002116-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142044824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green economic growth, renewable energy and food security in Sub-Saharan Africa","authors":"Junming He ,&nbsp;Romanus Osabohien ,&nbsp;Wenyu Yin ,&nbsp;Oluwayemisi Kadijat Adeleke ,&nbsp;Kelechi Uduma ,&nbsp;Deborah Agene ,&nbsp;Fangli Su","doi":"10.1016/j.esr.2024.101503","DOIUrl":"10.1016/j.esr.2024.101503","url":null,"abstract":"<div><p>This study examines the impact of green economic growth and renewable energy on food security in Sub-Saharan Africa (SSA). The rationale for the study comes from the background that with a fast rate of growing population, there is a high pressure on natural resources, which often leads to resource depletion, being experienced across the globe. This study utilises panel data analysis consisting of 37 SSA countries that are members of the Official Development Assistance (ODA). Data was obtained from the Food and Agriculture Organisation (FAO) and World Development Indicators (WDI) for the period 2005–2022. To control for endogeneity, the study applies the system Generalised Method of Moments (GMM). The result shows that renewable energy and green economic growth have a positive significant impact on food security, though this impact is asymmetric across SSA sub-regions. On the other hand, industrialisation through its emissions, contributes negatively to food security. The implication is that SSA countries should focus on policies aimed at improving green economic growth and renewable energy consumption; while policies aimed at reducing the inefficient adoption of renewable electricity and discouraging industrialisation aimed at suppressing agricultural practices should be adopted.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101503"},"PeriodicalIF":7.9,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002128/pdfft?md5=2bdb6594840ee53e4a297d3d39ebfb1f&pid=1-s2.0-S2211467X24002128-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142012311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the congestion cost of gas pipeline between China and Russia","authors":"Qi Wei ,&nbsp;Peng Zhou ,&nbsp;Xunpeng Shi","doi":"10.1016/j.esr.2024.101493","DOIUrl":"10.1016/j.esr.2024.101493","url":null,"abstract":"<div><p>Determining transportation routes is of great importance for advancing China-Russian gas cooperation, which has been hanging in the balance. This paper employs a general equilibrium model to assess the congestion cost of diversified gas transmission schemes between China and Russia on domestic long-distance pipelines, which addresses the inherent limitations of exclusively considering transport impacts in the decision-making process. Findings reveal a notable decrease in pipeline congestion incidents for the route integrated with the Shaan-Jing system, thus lending empirical credence to the feasibility of the proposed scenario involving Mongolia. In addition, key routes are defined in this paper based on congestion costs, which emphasize the challenges posed by bilateral gas cooperation to China's long-distance natural gas pipeline network, necessitating a strategic focus on critical pipelines as the top priority of pipeline optimization efforts in the future. This paper provides valuable insights into planning the second China-Russia gas pipeline and the decision-making process for the future development of long-distance pipeline infrastructure.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101493"},"PeriodicalIF":7.9,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002013/pdfft?md5=a1521adc7de353e532a52a2921694515&pid=1-s2.0-S2211467X24002013-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The indispensable role of energy import: Does its price really matter for German employment?","authors":"Tingting Sun ,&nbsp;Meng Qin ,&nbsp;Chi-Wei Su ,&nbsp;Weike Zhang","doi":"10.1016/j.esr.2024.101495","DOIUrl":"10.1016/j.esr.2024.101495","url":null,"abstract":"<div><p>Studying the interplay between energy imports and employment is paramount for attaining sustainable development in Germany. The research employs the time-varying parameters-vector autoregression-stochastic volatility (TVP-VAR-SV) methodology to capture the dynamic correlation between energy import price (EIP) and unemployment rate (UR) under the control of consumer price index (CPI), which is constantly evolving. In quantitative analyses, it is clear that EIP significantly and positively impacts UR, indicating that a surge in imported energy costs has adverse consequences for the German labour market, possibly leading to job cuts and a spike in unemployment. Conversely, UR has a notable negative impact on EIP, particularly in the short period, signifying that an elevated unemployment rate reduces demand for imported energy. Further, the favourable impact of EIP on CPI, coupled with CPI's detrimental effect on UR, underscores the pivotal importance of CPI as a critical control variable. Additionally, we reinforce the robustness of these conclusions through stringent testing that encompassed the introduction of a business cycle-related control variable, variations in the number of iterations and replacement of energy import price. Amidst the severe energy crisis, this study aims to offer crucial recommendations to Germany for securing its energy imports and stabilising the labour market.</p></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"55 ","pages":"Article 101495"},"PeriodicalIF":7.9,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211467X24002037/pdfft?md5=636b8a1c13221fdb212a00a4e430aded&pid=1-s2.0-S2211467X24002037-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}