|
|
|
Sort Order |
|
|
|
Items / Page
|
|
|
|
|
|
|
| Srl | Item |
| 1 |
ID:
196978
|
|
|
|
|
| Summary/Abstract |
This study critically evaluates whether the current and projected generation of renewable energy can meet the escalating global demand for electricity from digital data growth. Our modelling forecasts reveal a concerning trend: despite the expansion in renewable energy capacities, they are likely insufficient to satisfy the burgeoning electricity needs of the digital data sector. More alarmingly, there is a real risk that the demand for digital data could soon exceed feasible electricity production capabilities. This paper underscores the urgent necessity for a data-centric sustainability approach across all supply chains, sectors, industries, and nations. Such measures are crucial to increase efficiency, cut energy usage, and transition towards a decarbonized digital ecosystem, thereby supporting the global pursuit of a sustainable, net-zero future. This research highlights a critical junction in energy policy and digital infrastructure planning, urging immediate action to reconcile digital advancement with ecological sustainability.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
196977
|
|
|
|
|
| Summary/Abstract |
Multi-system interactions associated with the decarbonisation of energy and mobility systems represent a complex phenomenon in the acceleration phase of net-zero transitions. In this paper, we present a novel methodological approach to examine actor involvement in the governance of multi-system transitions, with a focus on the UK's net-zero energy-mobility transitions from 2008 to 2021. Utilising Named Entity Recognition (NER), a natural language processing technique, we systematically map actors and their interactions within policy consultations and how these have changed over time. Our analysis differentiates between single-system and multi-system policy making processes; identifies weak and strong links among actors as two types of multi-system interactions; categorises actors into business, policy, academia, and society groups; and examines the evolution of engagement across multiple governance levels. Our findings indicate an increasing trend of multi-system interactions, suggesting the UK's progression towards the acceleration phase of net-zero transitions. Our analysis further reveals the predominance of policy actors, particularly from the national level, in governing such multi-system transitions processes, followed by business actors. Despite some limitations, our approach offers a scalable method for analysing large volumes of text, providing valuable insights into the governance dynamics of multi-system transitions. We conclude with implications for policy making and offer suggestions for future research, emphasising the importance of understanding actor involvement and political contestations around net-zero trajectories for ensuring the achievement of sustainability goals.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
ID:
196976
|
|
|
|
|
| Summary/Abstract |
Introducing electric vehicles is critical to maintaining air quality and reducing carbon emissions. The Indonesian government has issued several regulations to stimulate the diffusion of electric vehicles. This research attempts to forecast the electric vehicle market share, especially electric motorcycles, by involving the policy mix and sustainable life cycle costs. We propose a system dynamics approach that takes into account a policy mix including 0% down payment without credit interest subsidies, tax abolition, expansion of charging station network, and sustainable life cycle costs, i.e., total cost of ownership, social, and environment. The system dynamics model has four modules: the electric motorcycle cost, the conventional motorcycle cost, the economy module, and the consumer market. The simulation results show that the electric motorcycle market share will increase positively in 2021–2030, reaching 5.7% in 2030. Based on the scenario simulation results, providing more charging stations and vehicle tax abolition can significantly boost the market share of electric motorcycles in Indonesia. The study provides valuable insights for policymakers in formulating more appropriate policy instruments to promote electric vehicle diffusion in Indonesia.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
ID:
196975
|
|
|
|
|
| Summary/Abstract |
This paper addresses the knowledge gap concerning foreign exchange risk in energy transactions within the Regional Initiative Energy Integration System of the Southern Cone Countries (SIESUR) of the Latin American region. Focusing on the cross-border electricity, it investigates the impact of exchange rate fluctuations on the transaction model in SIESUR: US dollar-denominated cross-border energy contracts with a time lag between invoicing and payment. The objective of this paper is to estimate foreign exchange risk exposure and propose mitigation solutions. Analyzing foreign exchange risk of energy trading among SIESUR member countries reveals substantial financial costs hindering electricity integration. Energy importing countries, facing greater exposure of their local currencies and weakened bargaining power, are particularly vulnerable. A Monte Carlo simulation model, using historical exchange rate data, highlights significant currency volatility, emphasizing the substantial foreign exchange risk exposure within SIESUR. Notably, cost overruns of energy imports due to foreign exchange risk exposure can reach 12.6% of transaction value. Through a global analysis, potential strategies for risk management are explored to foster electricity exchange expansion. Efforts to mitigate foreign exchange risk are crucial for advancing electricity integration within the SIESUR region. This study underscores policy implications for enhancing regional energy security and promoting sustainable development.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
ID:
196974
|
|
|
|
|
| Summary/Abstract |
The increasing decarbonisation pressure together with recent energy price shocks is fuelling a revived debate on new nuclear generation capacity in many European states. In this paper, we provide a synopsis of financing models currently being applied or under development for newly built nuclear power plants in Europe (with excursions to Türkiye and the United States), catering to the special risk profile of such projects. We find that nuclear power plant projects in Europe to a large extent only become bankable if a government is involved in de-risking the investment for private investors – eventually involving the exposure of taxpayers or ratepayers to the project risks.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
ID:
196973
|
|
|
|
|
| Summary/Abstract |
Nearshoring and global value chain reconfiguration trends have gained renewed relevance amid mounting disruptions in globalized production models. However, the precise dynamics behind shifts in the nascent electric vehicle (EV) industry value chain remain unclear. This study examines the factors that drive direct investment into Mexico's EV production ecosystem. It analyzes how these investment patterns reshape regional value chains while accelerating the transition toward electromobility. This analysis is based on an original 2019–2023 dataset of 48 Mexican EV production investment projects and three emblematic case studies: Tesla, Metalsa, and Sanhua. The findings suggest that the confluence of USMCA trade pact stipulations, US-China tensions, climate policy, and consumer incentives in the US, alongside specialized capabilities in Mexico, catalyze this nascent EV industry. In this fluctuating landscape, Mexico plays a dual role, both reducing US reliance on Chinese-dominated chains while attracting international firms interested in integrating into regional production networks. Thereby, the study delineates the specific drivers beyond nearshoring that have attracted EV production investment to Mexico. It, therefore, provides insights into the forces shaping Mexico's emergence as a strategic hub for regionalized EV manufacturing and outlines implications for future corporate strategies and public policies.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
ID:
196972
|
|
|
|
|
| Summary/Abstract |
Fossil fuel subsidy reform is a critical strategy for fostering cleaner energy systems and promoting sustainable development. The Malaysian government has signalled commitments to implement a targeted fuel subsidy reform where vulnerable households would be unaffected by the direct impact of higher fuel prices even after the reform. But despite this commitment, little is known about the economy-wide impact of the reform. This study employs a dynamic Computable General Equilibrium (CGE) model to examine the economic, social, and environmental impact of a targeted fuel subsidy removal in Malaysia under a spontaneous and gradual implementation scenario. The research also explores the impact of direct cash transfers to households and reinvestment in key sectors of the economy in the aftermath of the reform. Results from the study show that subsidy removal brings positive gains to the Malaysian economy in the medium to long term. Sequencing the phaseout of subsidies, providing compensation to vulnerable households, and reinvesting in education, health, transportation, and food assistance helps to avoid short-term adverse effects on households and output. The study recommends the need for a gradual removal of fuel subsidies that is accompanied by cash transfers to vulnerable households and investment in key sectors of the economy.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
ID:
196971
|
|
|
|
|
| Summary/Abstract |
This paper systematically analyzes the effect of energy efficiency on transacted rental and capital values of Dutch retail property assets from 2015–2021. Prior research on Energy Performance Certification (EPC) and energy premiums consistently showed a pricing effect, but recent investigations reveal inconclusive results, particularly when considering non-residential properties. Leveraging a unique dataset of 1015 lease transactions and 478 sale transactions, this study provides one of the first estimates of how EPC labels impact retail value. We utilize ordinary least squares (OLS) regression, considering characteristic retail determinants such as footfall, catchment area type, and retail type, among others. This study finds a premium of 11 percent for rental transactions with Label C or higher on a price per square meter basis. Capital premiums for energy-efficient transactions are more marginal and complex, particularly when accounting for data limitations such as geographic distribution. The nexus between sustainability and financial benefits incentivizes investors and policymakers to embrace energy-efficient measures. Pioneering spatial analyses of EPCs in the retail sector, this paper offers insights for informed policy-making amid geographic variations. In the era of transparency, this research provides empirical evidence to drive responsible investments in energy-efficient retail, shifting from risk management to stakeholder benefits and improved capital efficiency.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
ID:
196970
|
|
|
|
|
| Summary/Abstract |
Cropland spatial shifts are occurring globally, potentially influencing anthropogenic greenhouse gas (GHG) emissions of agricultural inputs for grain production at different spatial scales. The extent of this impact and its regional variations are key questions. Taking China as the study area, we quantified the impacts of cropland spatial shifts on carbon footprints of agricultural inputs (CFAI) for grain production in China by integrating multi-source data during 1990–2018. Results revealed that cropland centroid in China moved 83 km northwestward from 1990 to 2018, resulting in a 2% increase in CFAI per unit cropland area at the national level. By region, the Northwestern arid region contributed the most to the increase in CFAI, about 9.2 Mt carbon dioxide equivalent (CO2-eq), due to the dramatic cropland expansion and highest CFAI per unit cropland area. This study reveals the importance of considering the increase in CFAI resulted from cropland expansion when formulating land use planning and cropland protection policies.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
ID:
196969
|
|
|
|
|
| Summary/Abstract |
This study investigates the diesel tax's impact on environmental innovation, addressing a gap in the current literature, which has typically considered environmental policies collectively and has overlooked specific analysis of this tax. It examines whether the relationship is linear, U-shaped, or N-shaped and consider its potential variations across contexts and time lags for the diesel tax. The analysis includes a panel of 1160 records from 40 countries (34 OECD and 6 BRIICS) over 29 years (1990–2018). The results indicate that the diesel tax's effect on environmental innovation follows an N-shaped curve (growth, decline, and revitalisation) in many of the analysed contexts: patents related to the energy and transport sectors, patents related solely to the energy sector, patents related solely to the transport sector, OECD countries, countries with low emissions, countries with high innovation capacity, and different time lags. Furthermore, of the 40 countries analysed, 35 are in the same phase across all models: 12 (6 OECD and 6 BRIICS) are in the growth phase; 20 OECD countries are in the decline phase; and 3 OECD countries are in revitalisation phase. These findings suggest that there is still substantial room to increase diesel taxes from the perspective of environmental innovation.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
ID:
196968
|
|
|
|
|
| Summary/Abstract |
An integrated assessment model has been developed to estimate useful energy demand, followed by an optimization model for planning the energy supply. Four scenarios have been developed. The findings of this study highlight the impact of behavioral, climate change, and socio-economic factors on energy demand and supply. Specifically, these factors can lead to significant variations in demand, such as a more than 3.48-fold difference in cooling demand or a 1.75-fold difference in the transportation demand by cars across various scenarios.
The use of a dual-fuel car and electric motorcycle is suggested in all scenarios. Waste processing has been done with a landfill in all scenarios except in the final years of the net-zero emission target scenario, where an incinerator is proposed. The supply model for electricity generation in the early years suggests the combined cycle power plant followed by solar energy at the end. However, in the low-cost electricity scenario, it is always suggested to import electricity. The sensitivity analysis showed that the emission penalty and electricity price are the most important parameters. The results of this study will help policymakers and decision-makers in energy system planning and provide researchers with appropriate information, tools, and methods for future research.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
ID:
196967
|
|
|
|
|
| Summary/Abstract |
Electrifying light-duty vehicle fleets is essential to decarbonize road transport, however its efficacy relies on policies targeting country-specific challenges and opportunities. We model and compare fleet-level life cycle GHG emissions for different grid scenarios and battery electric vehicle deployment timelines respectively in the US, China, and the UK from 2020 to 2050, cumulatively involving over one billion vehicles. A customized index decomposition analysis is employed to quantify the contributions of key emissions drivers. Results reveal that electrification can be effective for decarbonizing all three fleets, reducing over 50% of annual life cycle emissions by 2050. Priorities and challenges, however, differ across countries: The US fleet, which emits the highest GHGs, generally comprises older, heavier, and less fuel-efficient vehicles, would benefit the most from electrification and fleet modernization. Grid decarbonization and managing car ownership growth are critical for China, as its rapidly growing fleet and manufacturing rely on currently carbon-intensive electricity. The UK needs to expand its electricity generation capacity while electrifying its fleet. We also underscore the need for a comprehensive strategy, including electrification, low GHG intensity fuels, and moderating vehicle ownerships. This study highlights the importance of cross-country life cycle thinking to inform effective decarbonization policy decisions.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
ID:
196966
|
|
|
|
|
| Summary/Abstract |
The Council is the voice of the member states' governments in the EU policymaking process and the institutional setting where member states can enforce their national interest. The literature on Council decision-making has previously mostly used expert interviews or voting patterns. Through a detailed examination of one specific legislative file in the recent ‘Fit for 55’ climate package in which subsidiarity and varying national conditions is central, this study focus on how disagreements between member states are resolved and how strategic word framing can aid in resolving political controversies in EU energy policy. This article analyses Council working group meeting notes and revisions of the recent recast of the Energy Performance of Buildings Directive, providing a unique look behind the curtains of negotiations between member states in the Council within a deliberative intergovernmental framework. A mix of quantitative and qualitative text analysis is applied to deliberations and legislative revisions. The findings show that a fragile consensus is reached despite disagreement through enabling of national flexibility in policy decisions, indicating that the Council determines the speed of European integration in the policy domain.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
ID:
196965
|
|
|
|
|
| Summary/Abstract |
As a result of unbalanced energy structure, high carbon emissions, and global climate change, carbon lock-in has gained considerable attention. To achieve carbon unlocking, technological advancements and institutional innovation are essential. This paper uses the new energy vehicle (NEV) industry as its case study, identifying the differences and evolutionary trends between institutional unlocking and technological unlocking logics, and demonstrating how these logics affect industry and enterprise development and eventually advance the process of carbon unlocking. The findings are: (1) Institutional incentives play a critical role in the development of an industry at the beginning. As the industry matures, technological innovation plays a central role in driving industry development, while institutional logic gradually loses influence and technological logic gains influence. (2) Dual logics have undergone a complex transformation of compatibility, mutual exclusivity, partial confrontation, and cooperation during the process of carbon unlocking. It is possible for the complexity of the relationship to range from low to high, with both becoming less complex as the industry matures. (3) Through ongoing gaming and adjustment, the dual logics encourage the NEV industry to realize carbon unlocking and low-carbon transformation at the same time.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
ID:
196964
|
|
|
|
|
| Summary/Abstract |
International attention toward energy transition has seen significant growth recently. Each region has focused on some of its aspects according to its own context. Our work focuses on African countries and analyses their energy transition. Our study adds to the literature on energy transition studies by understanding the energy landscape of African countries and identifying similarities and differences between them using a cluster analysis based on a multivariate Euclidean distance measure. Thanks to this measure, we highlighted four clusters. We discuss how these clusters are explained by similar economic, political and cultural factors. The cluster that uses the most RE (Green-Cluster) has low political stability and high foreign direct investment, suggesting that RE can be an opportunity to attract investors and enhance green economic development. Countries of cluster that show high FF consumption (Brown-cluster), have high CO2 emissions but better economic and social situations. Lastly, we proposed diverse policy implications for the different clusters, offering a range of indications aimed at advancing specific Sustainable Development Goals. It is necessary to focus on developing strategies to leverage RE and enhance governance for countries of Green-Cluster. For Brown-cluster, they should accelerate the transition to cleaner energy sources to combat climate change.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
ID:
196963
|
|
|
|
|
| Summary/Abstract |
China has implemented three sets of low-carbon city pilot policies (LCCP), making it the world's most extensive low-carbon and green development program. Many studies have examined the impact of this policy on green development. However, studies rarely discuss spillover effects. This deficiency can lead to biased policy evaluations. This study employs a quasi-experimental approach to investigate the spillover effects of LCCP on the green total factor productivity (GTFP) of neighboring non-pilot cities and identify the underlying mechanisms. Using panel data from 283 cities in China spanning from 2004 to 2020, this study employs the time-varying difference-in-difference method. The empirical evidence suggests that LCCP can significantly enhance the GTFP growth of non-pilot cities located within 100 km, with an average annual increase of approximately 1.43%. Mechanism analysis indicates that increasing technological innovation and learning from the pacesetter play crucial intermediary roles in promoting GTFP improvements in neighboring cities. Furthermore, the spillover effects exhibit noticeable heterogeneity, particularly among cities in the eastern region, middle region, and large cities. These findings provide empirical evidence regarding the spillover effects of China's largest carbon pilot policies, contributing to a comprehensive assessment of policy impacts and offering fresh insights for climate policy tools.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
ID:
196962
|
|
|
|
|
| Summary/Abstract |
This study quantifies the socioeconomic and environmental repercussions of complete substitution of coal and lignite in the EU27 providing insights for policymakers. The analysis is conducted at the NUTS-2 level, using the EUREGIO-2017 multiregional input-output table, and considers the substitution of coal and lignite for electricity generation and household heating. The results reveal winners and losers at the regional level, with job losses in coal-reliant regions but gains in areas with alternative energy sectors. A pronounced reduction in CO2 emissions emerges as a key positive outcome, with significant abatements concentrated in Central-Eastern European regions where coal and lignite were historically more intensively utilized. This study emphasizes the importance of adopting balanced policies that strike an equilibrium between environmental goals and mitigating adverse socioeconomic effects, including at the subnational level. Policymakers are strongly encouraged to conduct comprehensive analyses, considering direct and indirect impacts on variables such as value-added, employment, and CO2 emissions. Moreover, compensatory measures, such as the Just Transition Mechanism, should be tailored to provide targeted support to the most affected regions, fostering fair and equitable social change.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
ID:
196961
|
|
|
|
|
| Summary/Abstract |
Diversification in economic and energy sectors has been proven to contribute enormously to economic development. However, given the sustainability targets, the effectiveness of those strategies in alleviating environmental deterioration is ambiguous. This research examines how economic complexity and energy diversification could affect the levels of carbon emissions among economies that are in different phases of economic growth. Applying a novel panel quantile regression to a sample of 66 economies from 1995 to 2018, dividing into high-income, upper-middle-income, and lower-middle-income subgroups, allows us to reveal and compare the heterogeneous impacts across different levels of carbon emissions and income levels. The empirical results reveal that the environmental impacts of both economic complexity and energy diversification are not only heterogeneous across quantiles of carbon emissions but also vary among high-, upper-middle-, and lower-middle-income countries. While economic sophistication improves environmental sustainability in high- and upper-middle-income countries, it exacerbates ecological degradation in lower-middle-income countries. While energy diversification benefits environmental quality across all quantiles of carbon emissions in both upper and lower-middle-income countries, a harmful effect of energy diversification is only found in some high-income economies. Our research findings suggest that although energy and economic diversification could be a viable path for upper-middle-income countries to attain sustainability targets, these strategies should be combined with other environmental protection strategies to demonstrate desirable environmental benefits in high-income and lower-middle-income countries.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
ID:
196960
|
|
|
|
|
| Summary/Abstract |
We study the pricing of greenhouse gas emissions of vertically integrated producers of electricity around the Paris Accord (PA). We study whether emissions are priced by financial markets, providing a market-based incentive for firms to reduce their carbon footprints and if the heightened attention on climate change post-Paris Accord (PA) impacts the size of the “carbon risk premium.” We focus on electricity generators, because they are responsible for the largest share of emissions and emissions reductions in the U.S. and are highly exposed to regulatory, physical, and stranded asset risks. We find the cost of carbon risk is reflected in the returns of vertically integrated electric utilities. The post-PA period provides the strongest evidence that carbon risk is priced. We find that equity markets provide incentives for power producers to reduce emissions, as reductions in emissions are associated with reductions in required returns on equity (increases in equity market values). The challenge for regulators is how to respond in rate cases. Lowering a utility's regulated return to reflect lower market estimates of the return on equity would dilute the market-based incentive for emissions reductions. Adding a longer-term return incentive for continued investment in emissions reductions would reinforce the market incentive.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
ID:
196959
|
|
|
|
|
| Summary/Abstract |
Improving carbon emission performance contributes to climate change mitigation, and green innovation may help achieve this goal. Digital economy may promote the diffusion and application of green innovation. Thus, we explore how digital economy affects the impact of green innovation on carbon emission performance based on the panel data covering 240 cities in China from 2005 to 2019. System-generalized method of moments (SYS-GMM), the two stage least square method (2SLS), and the panel quantile regression approach are adopted. The results show that, (1) Green innovation improves carbon emission performance. (2) The digital economy (digital development carrier, digital industrialization, industry digitization, digital development environment) promote the positive impact of green innovation on carbon emission performance. (3) The specifical digital economy elements, such as new digital infrastructure, communication business and services industrialization, service digitalization, institutional and innovation environment also have the positive role. (4) For the mechanism, digital economy is conducive to green innovation for lower energy consumption scale, higher energy efficiency, and cleaner energy structure, thus improving carbon emission performance. (5) Asymmetric analyses imply that green innovation improves carbon emission performance better with developed digital economy.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|