Energy Strategy Reviews最新文献

{"title":"Retraction notice to ‘Optimal stochastic scheduling in residential micro energy grids considering pumped-storage unit and demand response’ [Energy Strategy Rev. 49 (2023) 101172]","authors":"Gang Wang , Yongli Gao , Jiayin Feng , Jinling Song , Dongyan Jia , Guolin Li , Yuerong Li , Aris Vartosh","doi":"10.1016/j.esr.2026.102217","DOIUrl":"10.1016/j.esr.2026.102217","url":null,"abstract":"","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102217"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Driving factors and peak pathways for production-based embodied carbon emission generated by China's light industry international trade","authors":"Chenchen Wang ,&nbsp;Laijun Zhao ,&nbsp;George N. Papageorgiou ,&nbsp;Juntao Zhen ,&nbsp;Youfeng Cheng","doi":"10.1016/j.esr.2026.102276","DOIUrl":"10.1016/j.esr.2026.102276","url":null,"abstract":"<div><div>China has set clear carbon reduction targets, yet the key driving factors and carbon peaking pathways of production-based embodied carbon emissions (PECE) in the international trade of China's light industry remain insufficiently identified. To fill these gaps, this study employed the Logarithmic Mean Divisia Index with Additive Decomposition model based on a two-level decomposition method to separate five driving factors that influence PECE in China's light industries, and used an extended Markov model to forecast PECE trends from 2023 to 2030. The results show that carbon emission intensity and export scale are the dominant drivers. Among 16 sub-industries, I3 presents a prominent emission reduction effect, while I7 is the main contributor to emission growth. Among five emission reduction scenarios, the coordinated development scenario (A5) performs best, with PECE peaking at 1745.54 Mt in 2025. These findings provide empirical support for optimizing trade strategies and advancing the low-carbon structural adjustment of China's light industry.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102276"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147995579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supply chain innovation and energy efficiency retrofits in China: Empirical evidence from listed companies (2000–2023)","authors":"Shian Zen","doi":"10.1016/j.esr.2026.102239","DOIUrl":"10.1016/j.esr.2026.102239","url":null,"abstract":"&lt;div&gt;&lt;div&gt;The persistent misalignment between energy efficiency mandates and radical innovation capacity in vertically integrated manufacturing supply chains represents a critical yet empirically underexplored challenge for large emerging economies committed to simultaneous industrial upgrading and deep decarbonization, particularly in China where the dual-carbon targets — carbon peaking by 2030 and carbon neutrality by 2060 — place unprecedented and often competing demands on firm-level resource allocation across production networks. This study investigates whether downstream customers' energy efficiency retrofit investments stimulate radical innovation among upstream suppliers within Chinese listed company supply chains, whether suppliers' own retrofit expenditure generates a resource-based crowding-out of their radical innovation capacity, and how supplier and customer market power asymmetries moderate both mechanisms across a panel of 4827 firm-year observations drawn from all A-share listed Chinese manufacturing companies over the period 2000–2023, with patent citation records sourced from the China National Intellectual Property Administration (CNIPA) and firm-level financial data from the China National Research Data Service (CNRDS). A two-way fixed-effects model augmented with Arellano-Bond Generalized Method of Moments (GMM) estimation and a provincial carbon abatement target instrumental variable strategy is applied to produce endogeneity-corrected causal estimates. Four principal results emerge: downstream customers' energy efficiency retrofit expenditure exerts a significant positive demand-pull effect on upstream radical innovation, with a fixed-effects coefficient of 0.0054 (p &lt; 0.01) amplifying to 0.2248 (p &lt; 0.01) under IV-2SLS estimation; suppliers' own retrofit investment generates a significant crowding-out of radical innovation capacity, with a coefficient of −0.0033 (p &lt; 0.05), consistent with capital-energy substitution whereby compliance expenditure competes directly with exploratory R&amp;D; the demand-pull effect is amplified when suppliers hold high market power (interaction coefficient: 0.0127, p &lt; 0.05) and significantly suppressed when dominant customer relationships constrain supplier pricing autonomy (interaction coefficient: −0.0391, p &lt; 0.01); and the innovation spillover from downstream retrofitting operates exclusively through radical channels, leaving incremental innovation statistically unaffected, confirming that environmental compliance pressure functions as a categorical demand signal for fundamental rather than marginal technological solutions. These findings imply that policymakers should adopt supply-chain-aware innovation support instruments — including differentiated green finance facilities, collaborative R&amp;D tax credits, and power-structure-sensitive subsidy architectures — to simultaneously advance decarbonization and preserve the radical innovation capacity underpinning China's l","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102239"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expert insights on congestion pricing for urban energy Transition: Implementation challenges and energy trade-offs","authors":"Juan Nicolas Gonzalez,&nbsp;Ibrahem Shatnawi","doi":"10.1016/j.esr.2026.102266","DOIUrl":"10.1016/j.esr.2026.102266","url":null,"abstract":"<div><div>As cities pursue ambitious climate goals, congestion pricing is gaining attention not only as a tool for managing traffic but also as a catalyst for transport electrification. By limiting conventional vehicle use, encouraging investment in charging infrastructure, and aligning with low-emission zone policies, congestion pricing may support broader energy transition goals. This study investigates global expert perceptions of its role in accelerating electrification and urban energy readiness. The study surveyed 127 professionals working in transport, energy, and environmental policy and used ranking analysis, structural equation modeling, and Monte Carlo simulations to analyze the results. The findings reveal a structured association pattern among experts: congestion pricing is associated with environmental and mobility benefits—such as fewer private vehicle trips, improved public transport, and lower emissions—which are strongly linked to broader transport system transformation. This systemic change is, in turn, moderately associated with greater readiness for electrification. Experts also identified institutional trust, transparent revenue reinvestment, and spatial planning as important factors, although these relationships were less consistently supported. Policy insights suggest that blanket exemptions for electric vehicles should be avoided, as they may increase traffic volumes and weaken the shift toward public transport. Instead, experts recommend time-limited charges and visible reinvestment into clean mobility. When adapted to the context, congestion pricing can serve as a lever for both congestion management and long-term sustainability.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102266"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy harvesting in the energy transition: An assessment of potential energy sources, energy potential and applications","authors":"Moses Jeremiah Barasa Kabeyi ,&nbsp;Oludolapo Akanni Olanrewaju","doi":"10.1016/j.esr.2026.102248","DOIUrl":"10.1016/j.esr.2026.102248","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Energy harvesting also called energy scavenging refers the capture of energy dissipated into the environment and converting it usually in small amounts to electricity for different applications hence an important function in sustainable and renewable energy technology. Energy harvesting exploits ambient energy sources like solar, wind, sound, vibrations, radio waves, trees, radio waves, and the human beings by converting them to useful energy often in form of electricity for local application by microsystems. The conversion is achieved using different technologies based on energy resource, applications and power density using. The technologies employed include thermoelectric, triboelectric, electromagnetic induction, piezoelectric effect, electrostatic effect, photoelectric effect, and induction. This study undertakes an overview of current and potential energy sources for harvesting, their power densities, potential harvesting system, applications and the current and future status as a way of establishing their sustainability and possible role in the energy transition. The paper investigates the possible sources of energy for recovery and related the energy recovery technologies. The paper also determines that energy densities of common energy sources for harvesting. With the evolving energy and climate crisis, it has become crucial to develop clean and renewable energy options and technology for humanity. There is growing demand for small-scale energy as well as largescale energy from renewable natural resources including waste energy in various forms to meet the growing energy needs for the trillions of sensors and devices for applications like in the Internet of Things (IoT) and wireless sensor networks (WSNs). Using different harvesting technologies. Energy harvesting is one of the most rapidly growing emerging technologies, used as a cutting-edge technology for use in the capture of wasted energy from the environment for use in multiple applications for higher efficiency in primary energy use. Dissipated energy may be harvested and converted into electricity and put to useful uses or stored for later use in storage batteries or other devices like super capacitors. This study identifies and examines potential energy sources of recoverable energy for harvesting, identifies and proposes potential harvesting methods, in a bottom up approach from the sources to feasible uses. New and innovative sources of energy and methods for the capture and use of wasted energy from the environment are identified and established. The developments in nanotechnology and integration of various energy-harvesting sauces and harvesting technology as well as advances in artificial intelligence and the smart grid technology promise to significantly transform energy harvesting and make it viable for large-scale deployment and application of energy harvesting. The study demonstrated that developments in nano-generators, biodegradable and eco-friendly material","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102248"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147951755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the environmental effect of renewable energy innovations in the European Union: the role of fossil electricity generation and economic growth","authors":"Oktay Özkan ,&nbsp;Hephzibah Onyeje Obekpa ,&nbsp;Andrew Adewale Alola","doi":"10.1016/j.esr.2026.102278","DOIUrl":"10.1016/j.esr.2026.102278","url":null,"abstract":"<div><div>With a renewed approach toward green transition future, energy innovation and specifically clean energy, technology development has remained central to the European Union (EU) green deal. In this study, the role of renewable energy innovation in driving carbon neutrality in the EU (comprising the 27 member states) alongside the continued contribution of fossil electricity generation and economic growth is examined. By using the dataset that covers the period 2000 to 2021, the newly develop Multivariate Quantile on Quantile Regression (MQQR) offers insightful outcome. In line with expectation, the result shows that innovations associated with renewable energy sources significantly mitigates carbon emissions and the effect is even more pronounced toward the upper quantiles. Conversely, the effect of both fossil electricity generation and economic growth are detrimental to environmental quality given that these indicators spur carbon emissions. Moreover, these outputs from the MQQR are overwhelmingly consistent with the traditional Multivariate Quantile Regression (MQR), thus demonstrating the reliability of the result for policy relevance.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102278"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging plans and energy paths: A multi-nodal prospective analysis of the Spanish electricity generation and transmission system","authors":"Alicia Mortera-Canga ,&nbsp;Pedro Gerber Machado ,&nbsp;Juan Diego Rios-Peñaloza ,&nbsp;Diego Iribarren ,&nbsp;Milan Prodanovic","doi":"10.1016/j.esr.2026.102256","DOIUrl":"10.1016/j.esr.2026.102256","url":null,"abstract":"<div><div>National energy system decarbonisation plans increasingly rely on optimisation models to identify cost-effective power system pathways. These models typically do not incorporate renewable energy projects currently under development, as defined by European regulatory processes. This paper assesses how different planning approaches can be integrated within a spatially explicit electricity-sector capacity expansion model based on PyPSA-Eur, using a myopic model from 2025 to 2050. The analysis compares a cost-optimal baseline, National Energy and Climate Plan (NECP) targets, and a deployment-driven scenario based on projects under development, enabling a more realistic assessment that bridges the gap between plans and energy pathways.</div><div>The Spanish power system model is implemented by replacing default PyPSA-Eur datasets with a national georeferenced power plant database derived from official administrative registers and complementary sources, and by representing transmission constraints under conservative line ratings.</div><div>The results indicate that the NECP trajectory can be integrated within the model and extended over a long-term horizon, leading to a system characterised by high photovoltaic penetration. Differences across scenarios are reflected in battery capacity, being 32 GW for the Optimised scenario, 22 GW for the NECP scenario and 27 GW for the Authorised scenario, curtailment levels, reaching 32 TWh in the NECP scenario and 25 TWh in the other two alternative scenarios in 2050, and nodal self-sufficiency, with the lowest value being 18% in the Optimised scenario in 2037 and the highest value 68% in the NECP scenario in 2033. The Authorised scenario performs comparably in terms of system costs for the year 2050, while improving spatial balance and reducing curtailment relative to the cost-optimal pathway.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102256"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing energy reform through green technology and AI-driven innovation in China","authors":"Chen Hui ,&nbsp;Shihui Miao ,&nbsp;Wang Hui","doi":"10.1016/j.esr.2026.102286","DOIUrl":"10.1016/j.esr.2026.102286","url":null,"abstract":"<div><div>China plays a central role in the global transition toward sustainable energy due to its large energy consumption, rapid renewable energy expansion, and commitment to low-carbon development. This study investigates the relationship between green technology innovation and China's energy-transition performance using panel data from 2016 to 2023. Green patent activity and R&amp;D investment serve as key indicators of technological innovation, while green productivity and energy-transition-related performance are measured through Total Factor Productivity-based metrics. The empirical analysis employs panel regression models with firm and time fixed effects and leverages AI-driven data analytics to detect patterns, nonlinear relationships, and potential interactions among variables. Results indicate that green technology innovation, R&amp;D investment, profitability, and firm growth positively influence green productivity, highlighting the role of technological capability and financial capacity in supporting China's low-carbon energy transformation. Furthermore, financial and institutional support can enhance the adoption of cleaner technologies and improve energy-efficiency outcomes. This study contributes to the literature by providing panel-based empirical evidence on the role of green technology innovation in China's energy transition and demonstrates how AI-enabled analytics can support policy design for green R&amp;D financing, technology commercialization, and sustainable energy planning.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102286"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tariff-induced trade disruptions in energy and non-energy sectors: Long-Term implications for emissions, energy demand and resource efficiency","authors":"Khatib Ahmad Khan ,&nbsp;Mehdi Nejati ,&nbsp;Leon Moise Minani ,&nbsp;Kamel Si Mohammed","doi":"10.1016/j.esr.2026.102277","DOIUrl":"10.1016/j.esr.2026.102277","url":null,"abstract":"<div><div>The imposition of import tariffs by the United States on goods imported from Mexico, Canada, and China, as well as the corresponding retaliatory measures by these countries, can have multiple economic and non-economic impacts on these countries. Given that the United States is one of the world's largest economies, this trade war could have a significant impact on countries around the globe, albeit with varying degrees of effect on each. This study examines the environmental and energy sector impacts of recent U.S. tariff measures and retaliatory responses by Canada, Mexico, and China using a dynamic multi-regional general equilibrium model. Two scenarios are analyzed: (1) unilateral U.S. tariffs-25% on non-energy goods and 10% on energy goods from Canada and Mexico, plus 10% on Chinese goods; and (2) these tariffs met with retaliatory measures from Canada, China, and Mexico, projecting effects to 2050. Under the first scenario, the results indicate that U.S. tariffs on agricultural and industrial goods reduce US GDP by 0.2% in 2040 while Canada's GDP by nearly 2% by 2040, with losses exceeding 2.5% by 2050 when tariffs imposed on petroleum products and energy carriers imported from Canada. on the other hand, Mexico GDP decrease by 10% in long run and China show small decrease on GDP. However, energy demand decreases with economic activity, and carbon emissions decrease as a decrease of fossil fuel consumption. These reductions are mitigated by higher output and energy demand in the Rest of the World, implying potential carbon leakage. Under retaliation measures, Retaliatory tariffs exacerbate GDP losses of 5% by 2040 in Canada, US by 0.3%; Mexico up to 15% by 2050 and China's GDP decrease 1% in long run. Moreover, under retaliation exacerbate Canada energy demand loss up to 7% by 20240 while carbon emission decreases up to 4% in Canada and 0.2% globally by 2050. The results demonstrate that while protectionist trade policies may reduce emissions locally, they can undermine global environmental sustainability by merely shifting emissions elsewhere, emphasizing the need for coordinated, climate-aligned trade frameworks.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102277"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How governance and technology shape renewable energy development in hydrocarbon-dependent economies?","authors":"Eslam A. Hassanein ,&nbsp;Nourhane Houssam ,&nbsp;Rehab R. Esily ,&nbsp;Dalia M. Ibrahiem ,&nbsp;Mohamed Shehab ,&nbsp;Mohamed F. Abouelenein ,&nbsp;Noura Roushdy ,&nbsp;Rasha Samah","doi":"10.1016/j.esr.2026.102281","DOIUrl":"10.1016/j.esr.2026.102281","url":null,"abstract":"<div><div>OPEC economies, deeply reliant on hydrocarbons, face significant challenges in navigating the global shift toward sustainable energy. While this shift is widely discussed in academic and policy arenas, limited attention has been devoted to the institutional and technological mechanisms that drive it, particularly within the OPEC context. This study addresses this gap by examining the institutional and technological determinants of sustainable renewable energy in OPEC countries from 1990 to 2023.</div><div>A composite governance index is developed using Principal Component Analysis (PCA) on the six World Bank governance dimensions, complemented by a proxy for digital infrastructure to capture technological readiness. The analysis employs the Method of Moments Quantile Regression (MMQR) to account for distributional heterogeneity in renewable energy output. The results, quantified across the distribution, reveal that governance quality exerts a consistently positive and increasingly significant effect on renewable deployment, with stronger effects observed at higher quantiles. Similarly, technological adoption shows a positive and escalating impact, becoming economically meaningful only among higher-performing countries, where its coefficient reaches approximately 0.49 at the upper quantile. In contrast, energy consumption exhibits a significant negative effect that intensifies at higher performance levels, with its coefficient declining from −0.001 at the lower quantile to −0.009 at the upper quantile. Agricultural growth also demonstrates a pronounced adverse influence in higher-performing contexts, shifting from a weakly positive association at the lower tail to a clearly negative effect at the upper tail. Industrial growth transitions from a negligible role at lower quantiles to a strongly supportive one at higher levels of renewable deployment, while CO₂ emissions demonstrate minimal and inconsistent explanatory power throughout the distribution. The findings highlight the need for a holistic energy strategy in OPEC countries that integrates governance, technology, and sectoral priorities. Strengthening regulatory quality, enhancing technological readiness, and reforming energy subsidies are essential to advance renewable deployment. Sector-specific measures in agriculture and energy-efficient technologies in industry—can further support a sustainable and resilient energy transition.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102281"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147995578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}