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on Energy Economics |
| By: | Mattauch, Linus; Hepburn, Cameron; Spuler, Fiona; Stern, Nicholas |
| Abstract: | Avoiding unmanageable climate change implies that global greenhouse gas emissions must be reduced rapidly. Carbon prices and technological development are essential to deliver such reductions. Changes in preferences, however, are rarely considered, even though other major socioeconomic transitions – such as those from reducing smoking and drink-driving – have succeeded partly because preferences have changed. This article examines the impact of climate policy-induced changes in consumers’ preferences. We show that low-carbon policies could be better designed if it is recognised that preferences can be endogenous to such policies. For instance, carbon taxes must be adjusted, if they crowd-in or -out social preferences, to achieve a given target. Further, when the urban built environment changes mobility preferences, the value of low-carbon infrastructure investments can be underestimated if such effects are ignored. Third, policy-induced changes in preferences for active travel and plant-based diets could increase the net benefits of the transition to zero emissions. |
| Keywords: | carbon pricing; climate change; crowding-in; endogenous preferences; health co-benefits; transport infrastructure; ESRC Centre for Climate Change Economics and Policy (ref. ES/R009708/1) and the Grantham Foundation for the Protection of the Environment; ES/R009708/1; European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 681228. |
| JEL: | A12 D91 H23 Q54 Q58 |
| Date: | 2022–08–01 |
| URL: | http://d.repec.org/n?u=RePEc:ehl:lserod:115389&r= |
| By: | Fernando García Martínez (Banco de España); Matías Pacce (Banco de España) |
| Abstract: | The increase in electricity prices, which peaked in August 2022, has affected the various activities carried out in the Spanish electricity sector differently. This paper analyses the impact of this increase on the sector, distinguishing between electric power companies and electricity retailers, paying special attention to their operating profit and, particularly, to the influence of aspects such as (i) the incidence of forward contracts with a fixed price, (ii) asymmetric exposure to price increases in wholesale electricity markets, or (iii) belonging to vertically integrated groups, in the case of electricity retailers. The effect on the sector of the measures rolled out by the authorities to mitigate the impact of higher electricity costs on households and companies in Spain is also analysed. Of note among these measures are the Iberian Exception (a mechanism to cap the cost of the gas used in electricity generation) and the temporary deduction of the so-called excess remuneration arising from higher gas prices. Lastly, this paper studies the impact of the extraordinary temporary levy that energy companies must pay on net turnover for 2022 and 2023. |
| Keywords: | energy, electricity markets, electricity prices, generation costs |
| JEL: | E31 Q41 Q43 L94 |
| Date: | 2023–11 |
| URL: | http://d.repec.org/n?u=RePEc:bde:opaper:2316e&r= |
| By: | R. Saba; A. Pireddu |
| Abstract: | The European decarbonisation pathway, initiated by the Green Deal and reinforced by RePowerEU and the 'Fit for 55' package, emphasizes the critical role of sustainable energy transition for both the EU and the Mediterranean region. This shift requires rapid adoption of renewable energy, phasing out fossil fuels, and developing green hydrogen and Power to X technologies. Consequently, expanding and advancing electricity infrastructures, such as grids and storage systems, is essential to manage increased electrification and distributed energy production and consumption. Italy faces significant delays in connecting projects to the national grid, highlighting the need for urgent infrastructural improvements. Investments by TERNA and ENEL aim to enhance grid integration within Italy and between European and Mediterranean transmission systems. Benefits of transnational energy integration include delaying new fossil-fuelled power plants, reducing reserve capacity needs, lowering system costs, and enhancing energy sharing, reliability, and competition. The EU s strategic pursuit of energy integration is underscored by geopolitical tensions emphasizing the importance of cross-border energy flows and diversified electricity suppliers. The Joint Communication for a Renewed Partnership with the Southern Neighbourhood focuses on low-carbon energy transition, renewable energy, and clean hydrogen. The Mediterranean region s abundant solar and wind resources present significant cooperation opportunities in clean energy, particularly hydrogen production. Key projects like the ELMED-TUNITA and regional initiatives such as the Eight Country Interconnection Project facilitate energy sharing and stability. Italy s potential as an energy hub in the Euro-Mediterranean network is evident, primarily focusing on electricity and renewable energy sources. Sardinia plays a crucial role with ambitious targets for renewable energy to support the energy transition. Future energy cooperation between Europe and the Mediterranean will depend on harmonizing legal frameworks, sharing climate goals, and increasing financial resources. Ensuring a just transition, based on equity and solidarity, is essential for sustainable development and balanced growth in the Mediterranean. |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:cns:cnscwp:202409&r= |
| By: | Santaro Sakata; Abenezer Zeleke Aklilu; Rodrigo Pizarro |
| Abstract: | Greenhouse gas (GHG) emissions data is essential for tracking progress towards the Paris Agreement’s global temperature goals. In addition to the emissions inventories based on the Intergovernmental Panel on Climate Change guidelines, which are used for tracking progress under the framework of the Paris Agreement, there are other GHG emissions datasets that cater to different users and policy objectives. This paper evaluates three OECD datasets on GHG emissions: Air emissions – Greenhouse gas emissions inventories, Agricultural greenhouse gases emissions, and the Air Emissions Accounts (AEAs) based on the System of Environmental-Economic Accounting. It also looks at one dataset from the International Energy Agency: CO2 emissions from fuel combustion. It discusses the inventory and AEA approaches in terms of accounting principles (production- versus demand-based, territory versus residence), as well as classifications and scope of emissions. It looks at the coverage of the GHG emissions datasets and identifies the data gaps. Finally, the paper outlines several steps to enhance data coverage and quality of the datasets. |
| Keywords: | Emissions source classifications, Official greenhouse gas emissions data gaps, Production- and demand-based emissions, Residence principle, Territory principle |
| JEL: | C82 E01 Q54 Q56 |
| Date: | 2024–06–13 |
| URL: | https://d.repec.org/n?u=RePEc:oec:stdaaa:2024/03-en&r= |
| By: | Supratim Das Gupta (Amrut Mody School of Management, Ahmedabad University, Ahmedabad, India); Marco Baudino (Université Côte d'Azur, CNRS, GREDEG, France); Saikat Sarkar (Department of Economics & Politics, Visva Bharati University, Santiniketan, India) |
| Abstract: | This paper explores the growth-energy-pollution nexus of the environmental Kuznets curve (EKC) considering the joint contribution to CO2 emissions of the different sectors of the economy for a set of 43 emerging and developing countries. Since energy consumption and contribution to GDP growth can vary remarkably among sectors, the latter are likely to be characterized by heterogeneous responses to pollution from macroeconomic factors. We adopt an index decomposition approach disentangling the effect of energy consumption from intra-sectoral shifts in economic activities, which allows to evaluate improvements in energy efficiency across sectors. For the empirical analysis, we employ System and Difference GMM estimations using longitudinal obser- vations from 1998 to 2019. Our econometric results reveal substantial heterogeneity of responses to carbon dioxide reduction across sectors. Particularly, we validate the exis- tence of the EKC in energy-related measures for the sole manufacturing sector, and in GDP growth for the commercial and public sector. On the other hand, while emissions increase proportionately with growth in the transportation sector, energy efficiency measures seem to be ineffective in curtailing emissions in both the transportation and commercial and public sectors. Our results bear recommendations for the achievement of effective carbon neutrality policies. |
| Keywords: | Environmental Kuznets Curve, Energy Intensity Decomposition, CO2 Emissions |
| JEL: | Q01 Q53 O13 |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:gre:wpaper:2024-17&r= |
| By: | John Bistlinea; Chikara Onda; Morgan Browning; Johannes Emmerling; Gokul Iyer; Megan Mahajan; Jim McFarland; Haewon McJeon; Robbie Orvis; Francisco Ralston Fonseca; Christopher Roney; Noah Sandoval; Luis Sarmiento; John Weyant; Jared Woollacott; Mei Yuan |
| Abstract: | With companies, states, and countries targeting net-zero emissions around midcentury, there are questions about how these targets alter household welfare and finances, including distributional effects across income groups. This paper examines the distributional dimensions of technology transitions and net-zero policies with a focus on welfare impacts across household incomes. The analysis uses a model intercomparison with a range of energy-economy models using harmonized policy scenarios reaching economy-wide, net-zero CO2 emissions across the United States in 2050. We employ a novel linking approach that connects output from detailed energy system models with survey microdata on energy expenditures across income classes to provide distributional analysis of net-zero policies. Although there are differences in model structure and input assumptions, we find broad agreement in qualitative trends in policy incidence and energy burdens across income groups. Models generally agree that direct energy expenditures for many households will likely decline over time with reference and net-zero policies. However, there is variation in the extent of changes relative to current levels, energy burdens relative to reference levels, and electricity expenditures. Policy design, primarily how climate policy revenues are used, has first-order impacts on distributional outcomes. Net-zero policy costs, in both absolute and relative terms, are unevenly distributed across households, and relative increases in energy expenditures are higher for lowest-income households. However, we also find that recycled revenues from climate policies have countervailing effects when rebated on a per-capita basis, offsetting higher energy burdens and potentially even leading to net progressive outcomes. |
| Date: | 2024–05 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2405.18748&r= |
| By: | Gerlagh, Reyer (Tilburg University, School of Economics and Management); Smulders, Sjak (Tilburg University, School of Economics and Management) |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:tiu:tiutis:118dbefb-e259-4d8d-ba11-c5f6c3cea3ea&r= |
| By: | Sunwoo Kim; Joungho Park; Jay H. Lee |
| Abstract: | In the global pursuit of sustainable energy solutions, mitigating carbon dioxide (CO2) emissions stands as a pivotal challenge. With escalating atmospheric CO2 levels, the imperative of direct air capture (DAC) systems becomes evident. Simultaneously, green hydrogen (GH) emerges as a pivotal medium for renewable energy. Nevertheless, the substantial expenses associated with these technologies impede widespread adoption, primarily due to significant installation costs and underutilized operational advantages when deployed independently. Integration through sector coupling enhances system efficiency and sustainability, while shared power sources and energy storage devices offer additional economic benefits. In this study, we assess the economic viability of polymer electrolyte membrane electrolyzers versus alkaline electrolyzers within the context of sector coupling. Our findings indicate that combining GH production with solid DAC systems yields significant economic advantages, with approximately a 10% improvement for PEM electrolyzers and a 20% enhancement for alkaline electrolyzers. These results highlight a substantial opportunity to improve the efficiency and economic viability of renewable energy and green hydrogen initiatives, thereby facilitating the broader adoption of cleaner technologies. |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2406.00665&r= |
| By: | Alberto Alamia; Behzad Partoon; Eoghan Rattigan; Gorm Brunn Andresen |
| Abstract: | The European Union strategy for net zero emissions relies on developing hydrogen and electro fuels infrastructure. These fuels will be crucial as energy carriers and balancing agents for renewable energy variability. Large scale production requires more renewable capacity, and various Power to X (PtX) concepts are emerging in renewable rich countries. However, sourcing renewable carbon to scale carbon based electro fuels is a significant challenge. This study explores a PtX hub that sources renewable CO2 from biogas plants, integrating renewable energy, hydrogen production, and methanol synthesis on site. This concept creates an internal market for energy and materials, interfacing with the external energy system. The size and operation of the PtX hub were optimized, considering integration with local energy systems and a potential hydrogen grid. The levelized costs of hydrogen and methanol were estimated for a 2030 start, considering new legislation on renewable fuels of non biological origin (RFNBOs). Our results show the PtX hub can rely mainly on on site renewable energy, selling excess electricity to the grid. A local hydrogen grid connection improves operations, and the behind the meter market lowers energy prices, buffering against market variability. We found methanol costs could be below 650 euros per ton and hydrogen production costs below 3 euros per kg, with standalone methanol plants costing 23 per cent more. The CO2 recovery to methanol production ratio is crucial, with over 90 per cent recovery requiring significant investment in CO2 and H2 storage. Overall, our findings support planning PtX infrastructures integrated with the agricultural sector as a cost effective way to access renewable carbon. |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2406.00442&r= |
| By: | Sunwoo Kim; Joungho Park; Jay H. Lee |
| Abstract: | In the pursuit of a carbon-neutral future, hydrogen emerges as a pivotal element, serving as a carbon-free energy carrier and feedstock. As efforts to decarbonize sectors such as heating and transportation intensify, understanding and navigating through the dynamics of hydrogen demand expansion becomes critical. Transitioning to hydrogen economy is complicated by varying regional scales and types of hydrogen demand, with forecasts indicating a rise in variable demand that calls for diverse production technologies. Currently, steam methane reforming is prevalent, but its significant carbon emissions make a shift to cleaner alternatives like blue and green hydrogen imperative. Each production method possesses distinct characteristics, necessitating a thorough exploration and co-optimization with electricity supply chains as well as carbon capture, utilization, and storage systems. Our study fills existing research gaps by introducing a superstructure optimization framework that accommodates various demand scenarios and technologies. Through case studies in California, we underscore the critical role of demand profiles in shaping the optimal configurations and economics of supply chains and emphasize the need for diversified portfolios and co-optimization to facilitate sustainable energy transitions. |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2406.00669&r= |
| By: | Paul Ghelasi; Florian Ziel |
| Abstract: | The surge in global energy prices during the recent energy crisis, which peaked in 2022, has intensified the need for mid-term to long-term forecasting for hedging and valuation purposes. This study analyzes the statistical predictability of power prices before, during, and after the energy crisis, using econometric models with an hourly resolution. To stabilize the model estimates, we define fundamentally derived coefficient bounds. We provide an in-depth analysis of the unit root behavior of the power price series, showing that the long-term stochastic trend is explained by the prices of commodities used as fuels for power generation: gas, coal, oil, and emission allowances (EUA). However, as the forecasting horizon increases, spurious effects become extremely relevant, leading to highly significant but economically meaningless results. To mitigate these spurious effects, we propose the "current" model: estimating the current same-day relationship between power prices and their regressors and projecting this relationship into the future. This flexible and interpretable method is applied to hourly German day-ahead power prices for forecasting horizons up to one year ahead, utilizing a combination of regularized regression methods and generalized additive models. |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2406.00326&r= |
| By: | Clemens Stiewe; Alice Lixuan Xu; Anselm Eicke; Lion Hirth |
| Abstract: | The average revenue, or market value, of wind and solar energy tends to fall with increasing market shares, as is now evident across European electricity markets. At the same time, these markets have become more interconnected. In this paper, we empirically study the multiple cross-border effects on the value of renewable energy: on one hand, interconnection is a flexibility resource that allows to export energy when it is locally abundant, benefitting renewables. On the other hand, wind and solar radiation are correlated across space, so neighboring supply adds to the local one to depress domestic prices. We estimate both effects, using spatial panel regression on electricity market data from 2015 to 2023 from 30 European bidding zones. We find that domestic wind and solar value is not only depressed by domestic, but also by neighboring renewables expansion. The better interconnected a market is, the smaller the effect of domestic but the larger the effect of neighboring renewables. While wind value is stabilized by interconnection, solar value is not. If wind market share increases both at home and in neighboring markets by one percentage point, the value factor of wind energy is reduced by just above 1 percentage points. For solar, this number is almost 4 percentage points. |
| Date: | 2024–05 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2405.17166&r= |
| By: | Karol Szafranek; Michał Rubaszek |
| Abstract: | The Russian invasion of Ukraine triggered severe disruptions in the European energy markets and caused significant shifts in global natural gas flows. In this paper we investigate to what extent this European shock has affected the dynamics and altered the estimates of the elasticities on the U.S. natural gas market. For that purpose, we use the Bayesian Structural Vector Autoregression framework proposed by Baumeister and Hamilton (2019, BH) for the crude oil market and applied by Rubaszek, Uddin, and Szafranek (2021, RSU) to analyze the dynamics of U.S. natural gas market till year 2020. We modify the RSU model to account for natural gas trade and next derive the posterior of the model using observations till 2023. This allows us to approximate the impact of the European energy crisis on the U.S. market. Our result are twofold. First, we show that due to our modification the RSU model the estimates of the elasticities on the U.S. natural gas market change, while simply updating the same prior beliefs with most recent data impacts the posterior estimates to a very limited extent. Second, we find that even as major shock as the European energy crisis has only marginally contributed to the dynamics of the U.S. natural gas market. This result confirms earlier studies, which show that the U.S. natural gas market is barely affected by shocks to the European natural gas market. |
| Keywords: | Natural gas market, structural VAR, Impulse-response function, Bayesian inference |
| JEL: | C11 C32 Q31 Q43 |
| Date: | 2024–03 |
| URL: | http://d.repec.org/n?u=RePEc:sgh:kaewps:2024099&r= |
| By: | Missbach, Leonard; Steckel, Jan Christoph |
| Abstract: | We analyze the distributional impacts of climate policy by examining heterogeneity in households' carbon intensity of consumption. We construct a novel dataset that includes information on the carbon intensity of 1.5 million individual households from 88 countries. We first show that horizontal differences are generally larger than vertical differences. We then use supervised machine learning to analyze the non-linear contribution of household characteristics to the prediction of carbon intensity of consumption. Including household-level information beyond total household expenditures, such as information on vehicle ownership, location, and energy use, increases the accuracy of predicting households' carbon intensity. The importance of such features is country-specific and model accuracy varies across the sample. We identify six clusters of countries that differ in the distribution of climate policy costs and their determinants. Our results highlight that, depending on the context, some compensation policies may be more effective in reducing horizontal heterogeneity than others. |
| Keywords: | Climate policy, Distributional impacts, Inequality, Transfers |
| JEL: | C38 C55 D30 H23 Q56 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:esprep:296491&r= |
| By: | Emir Fejzic; Will Usher |
| Abstract: | A fast-paced policy context is characteristic of energy and climate research, which strives to develop solutions to wicked problems such as climate change. Funding agencies in the European Union recognize the importance of linking research and policy in climate and energy research. This calls for an increased understanding of how stakeholder engagement can effectively be used to co-design research questions that include stakeholders' concerns. This paper reviews the current literature on stakeholder engagement, from which we create a set of criteria. These are used to critically assess recent and relevant papers on stakeholder engagement in climate and energy projects. We obtained the papers from a scoping review of stakeholder engagement through workshops in EU climate and energy research. With insights from the literature and current EU climate and energy projects, we developed a workshop programme for stakeholder engagement. This programme was applied to the European Climate and Energy Modelling Forum project, aiming to co-design the most pressing and urgent research questions according to European stakeholders. The outcomes include 82 co-designed and ranked research questions for nine specific climate and energy research themes. Findings from the scoping review indicate that papers rarely define the term 'stakeholder'. Additionally, the concepts of co-creation, co-design, and co-production are used interchangeably and often without definition. We propose that workshop planners use stakeholder identification and selection methods from the broader stakeholder engagement literature. |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2406.01640&r= |
| By: | Melanie Dunger; Janina Kraus |
| Abstract: | Effectively combating climate change requires a dual approach: individual and industrial transformation. However, to mitigate climate change the synergies between individual Pro-Environmental Behavior (PEB) and climate engineering techniques, such as Carbon Capture and Storage (CCS), have often been neglected, thereby promoting only one of them. This study examines the relationship between PEB and the acceptance of CCS, taking into account attitudes toward climate change, norms, trust, and uncertainty aversion. Our analysis of survey data reveals a positive relationship between PEB and the acceptance of CCS, with PEB serving as a mediator linking attitudes toward climate change to CCS-acceptance. Our findings demonstrate the urgency of advancing PEB and technology-integrated strategies for climate mitigation. Therefore, this study contributes to the ongoing conversation about how to combine technological solutions with individual actions to successfully mitigate climate change. |
| Keywords: | Pro-Environmental Behavior, Carbon Capture and Storage, Technology Acceptance, Attitudes, Climate Change |
| JEL: | Q54 Q55 Q58 |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:atv:wpaper:2401&r= |
| By: | Manitra Rakotomena; Olivia Ricci |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:tep:teppwp:wp24-03&r= |
| By: | Leonov Ivan (Department of Economics, Lomonosov Moscow State University) |
| Abstract: | Since 2019, Russia has implemented quasi-directive pricing in the retail gasoline and diesel fuel markets, and a "big tax maneuver" has started to be implemented. This study aims to assess the impact of the current pricing system for gasoline and diesel fuels on the competitive environment in retail markets. As part of the study, four econometric models were built using the weighted least squares method and using stationary differences instead of stationary series to identify the impact of the "big tax maneuver" on domestic gasoline and diesel prices. Current pricing imbalances are leading to a permanent increase in retail fuel prices, which inevitably leads to an increase in market concentration in the gasoline station segment. There is no steady progress in the institutional environment in the motor fuel market due to increased regulatory uncertainty and expected negative consequence. |
| Keywords: | competition policy, oil industry, price regulation, gasoline pricing, diesel fuel pricing, stock exchange, taxation of the oil industry, big tax maneuver, damper |
| JEL: | L11 L42 L81 H32 |
| Date: | 2024–05 |
| URL: | https://d.repec.org/n?u=RePEc:upa:wpaper:0067&r= |
| By: | Frédéric Ghersi (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique) |
| Date: | 2023–03–29 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-04384824&r= |
| By: | International Monetary Fund |
| Abstract: | The government of Japan has pledged to substantially reduce greenhouse gas (GHG) emissions in the coming decade. Japan is among the largest greenhouse gas emitting economies in the world exposing it to significant transition risk. Although Japan’s overall exposure to physical risk is considered as very high due to the changing climate and the impact of the predicted increase in the frequency and severity of natural catastrophes, its overall vulnerability to physical risks is relatively low because of its strong capacity to cope with such risks. In accordance with the United Nations Climate Change Convention, Japan has set an interim target to reduce GHG emissions by 46 percent from 2013 levels until 2030, with an objective of achieving net-zero GHG emissions by 2050. To realize this ambitious goal, Japan enacted the Green Transformation (GX) Promotion Act in May 2023 and laid out, based on the law, a comprehensive strategy to facilitate the transition to a net zero GHG economy. |
| Date: | 2024–05–13 |
| URL: | http://d.repec.org/n?u=RePEc:imf:imfscr:2024/117&r= |
| By: | Sylvain Chareyron |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:tep:teppwp:wp24-05&r= |
| By: | Vladimir Dvorkin |
| Abstract: | Renewable power producers participating in electricity markets build forecasting models independently, relying on their own data, model and feature preferences. In this paper, we argue that in renewable-dominated markets, such an uncoordinated approach to forecasting results in substantial opportunity costs for stochastic producers and additional operating costs for the power system. As a solution, we introduce Regression Equilibrium--a welfare-optimal state of electricity markets under uncertainty, where profit-seeking stochastic producers do not benefit by unilaterally deviating from their equilibrium forecast models. While the regression equilibrium maximizes the private welfare, i.e., the average profit of stochastic producers across the day-ahead and real-time markets, it also aligns with the socially optimal, least-cost dispatch solution for the system. We base the equilibrium analysis on the theory of variational inequalities, providing results on the existence and uniqueness of regression equilibrium in energy-only markets. We also devise two methods for computing the regression equilibrium: centralized optimization and a decentralized ADMM-based algorithm that preserves the privacy of regression datasets. |
| Date: | 2024–05 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2405.17753&r= |
| By: | Frances C. Moore; Moritz A. Drupp; James Rising; Simon Dietz; Ivan Rudik; Gernot Wagner |
| Abstract: | Estimating the cost to society from a ton of carbon dioxide (CO2) released into the atmosphere requires connecting a model of the climate system with a representation of the economic and social effects of changes in climate, as well as the valuation and aggregation of diverse, uncertain impacts across both time and space. The literature on this cost, termed the social cost of carbon (SCC), is large and growing. Prior work has largely focused on better constraining the values of parameters such as climate sensitivity, the discount rate, and the damage function. A growing literature has also examined the effect of varying more fundamental structural elements of the models supporting SCC calculations. These structural model choices—including the introduction of climate or economic tipping points, changing the structure of economic preferences, and accounting for the persistence of climate damages—have been analyzed in piecemeal, uncoordinated fashion, leaving their relative importance unclear. Here we perform a comprehensive synthesis of the evidence on the SCC, combining 1823 estimates of the SCC from 147 studies published between 2000 and 2020 with a survey of the authors of these studies. The distribution of published SCC values for a 2020 pulse year is wide and substantially right-skewed, showing evidence of a heavy right tail (truncated mean of $132, median $39). Analysis of variance reveals important roles for structural elements in driving SCC estimates, particularly the inclusion of persistent damages via effects on economic growth, representation of the Earth system, and distributional weighting. However, our survey reveals that experts believe the literature is biased downwards due to an under-sampling of structural model variations, as well as biases in damage-function and discount-rate parameters. To address this imbalance, we train a random forest model on variation in the literature and use it to generate a synthetic SCC distribution that more closely matches expert assessments of appropriate model structure and discounting. This synthetic distribution has a median and mean of $185 and $284 per ton CO2, respectively, for a 2020 pulse year (5%–95% range: $32–$874), higher than all official government estimates, including a 2023 update from the U.S. Environmental Protection Agency. |
| JEL: | Q0 Q50 Q54 |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:32544&r= |
| By: | Monika Zimmermann; Florian Ziel |
| Abstract: | Accurate mid-term (weeks to one year) hourly electricity load forecasts are essential for strategic decision-making in power plant operation, ensuring supply security and grid stability, and energy trading. While numerous models effectively predict short-term (hours to a few days) hourly load, mid-term forecasting solutions remain scarce. In mid-term load forecasting, besides daily, weekly, and annual seasonal and autoregressive effects, capturing weather and holiday effects, as well as socio-economic non-stationarities in the data, poses significant modeling challenges. To address these challenges, we propose a novel forecasting method using Generalized Additive Models (GAMs) built from interpretable P-splines and enhanced with autoregressive post-processing. This model uses smoothed temperatures, Error-Trend-Seasonal (ETS) modeled non-stationary states, a nuanced representation of holiday effects with weekday variations, and seasonal information as input. The proposed model is evaluated on load data from 24 European countries. This analysis demonstrates that the model not only has significantly enhanced forecasting accuracy compared to state-of-the-art methods but also offers valuable insights into the influence of individual components on predicted load, given its full interpretability. Achieving performance akin to day-ahead TSO forecasts in fast computation times of a few seconds for several years of hourly data underscores the model's potential for practical application in the power system industry. |
| Date: | 2024–05 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2405.17070&r= |
| By: | Laura Wangen (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes); Cédric Clastres (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes) |
| Abstract: | Cost allocation is a crucial element in Energy Communities due to shared distributed energy resources between members. This review examines current and emerging methods before identifying challenges and future trends to ensure fair and stable sharing mechanisms among members while improving the overall feasibility of Energy Communities. |
| Date: | 2024 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-04575008&r= |
| By: | Ehrhart, Karl-Martin; Eicke, Anselm; Hirth, Lion; Ocker, Fabian; Ott, Marion; Schlecht, Ingmar; Wang, Runxi |
| Abstract: | This paper discusses a capacity-based redispatch mechanism in which awarded market participants are compensated for their availability for redispatch, rather than activation. The rationale is to develop a market design that prevents so-called 'inc-dec gaming' when including flexible consumers with a market-based approach. We conduct a game-theoretical analysis of a capacity-based redispatch mechanism. Our analysis reveals that despite its intention, the capacity-based redispatch is prone to undesirable behavior of market participants. The reason is that the availability payment incentivizes participants to change their energy consumption (generation) behavior. However, this also applies to undesired participants who increase the redispatch requirement through participation. Under certain assumptions, the additional redispatch potential equals the additional redispatch demand it creates. Consequently, the mechanism does not resolve network constraints, while causing costs for the compensation payments. Furthermore, we study three alternative implementation options, none of which resolves the underlying problem. It follows from our analysis that a mechanism can only be promising if it is capable to distinguish between the potential participants to exclude the undesirable ones. |
| Keywords: | Energy market, Congestion management, Capacity-based redispatch, Game theory, Auctions |
| JEL: | D43 D44 L13 Q41 Q48 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:zewdip:298003&r= |
| By: | Yoshifumi Konishi (Keio University); Akari Ono (Keio University) |
| Abstract: | We estimate the causal effect of ride-hailing entry on transport-related air pollution in U.S. cities, using granular satellite-based NO? concentration data in the staggered difference-in-differences research design. Our empirical strategy accounts for treatment effect heterogeneity both within and across cities, coupled with two additional strategies to strengthen identification: using geography-based instruments and exploiting a sharp, unanticipated change in ride-hailing activity in Austin due to its rule change. We find robust evidence that ride-hailing tends to improve air quality in highly dense cities, but has no significant impact in cities with low and medium density. We also find evidence that the NO? reduction in highly dense cities is associated with a decrease in private car use and an increase in public transit use. Taken together, our findings suggest that the environmental effect of ride-hailing depends on the complementarity between ride-hailing and public transit: While ride-hailing may increase congestion by inducing deadheading or displacing of mass transit for parts of daily trips, it may still decrease overall air pollution if a combined use of ride-hailing with other transit displaces private car use more than such adverse behavior. |
| Keywords: | Air pollution, congestion, commuting choice, staggered difference-indifferences, instrumental variable, ride-hailing, ride-sharing, transportation and environment |
| JEL: | L91 Q53 R4 R11 |
| Date: | 2024–06–06 |
| URL: | https://d.repec.org/n?u=RePEc:keo:dpaper:2024-014&r= |
| By: | Omid Asadollah (Florida International University); Linda Schwartz Carmy (Florida International University); Md. Rezwanul Hoque (Florida International University); Hakan Yilmazkuday (Department of Economics, Florida International University) |
| Abstract: | This paper investigates the effects of global geopolitical risks and global supply chain pressures on global inflation for the monthly period of 1999M1-2022M12. The investigation is based on a structural vector autoregression model, where the effects of global oil prices and global monetary policy are controlled for. Four alternative measures of inflation are used, including headline, core, food, and energy inflation. The empirical results show that disruptions in global supply chains are the main drivers of global inflation in the long run as the corresponding shocks explain the lion's share of volatilities in headline inflation (by 32%), core inflation (by 30%) and food inflation (by 22%), followed by oil price shocks and policy rate shocks. In comparison, energy inflation is explained the most by oil price shocks (by 55%) followed by supply chain shocks and policy rate shocks. Positive supply chain pressure and oil price shocks have positive and statistically significant effects on headline inflation even after five years, whereas positive policy rate shocks have negative and statistically significant effects on headline inflation in the long run. In contrast, positive shocks to geopolitical risk result in higher headline inflation only up to one year, with insignificant effects in the long run. Several policy implications follow. |
| Keywords: | Geopolitical Risk, Supply Chains, Global Inflation, Oil Prices, Policy Rates |
| JEL: | E31 E52 E58 F62 |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:fiu:wpaper:2406&r= |
| By: | Andre, Peter; Hackmann, Angelina |
| Abstract: | This paper shows that support for climate action is high across survey participants from all EU countries in three dimensions: (1) Participants are willing to contribute personally to combating climate change, (2) they approve of pro-climate social norms, and (3) they demand government action. In addition, there is a significant perception gap where individuals underestimate others' willingness to contribute to climate action by over 10 percentage points, influencing their own willingness to act. Policymakers should recognize the broad support for climate action among European citizens and communicate this effectively to counteract the vocal minority opposed to it. |
| Keywords: | Climate Change, Climate Behavior, Climate Policies, Social Norms |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:safewh:296482&r= |
| By: | Markus Brueckner; Gabriele Ciminelli; Norman Loayza |
| Abstract: | We examine the relationship between oil price windfalls and labor market regulation empirically through panel regressions in a sample of 83 countries spanning the 1970-2014 period. We find that oil price windfall gains lead to a deregulation of the labor market in autocracies but have no effects in democracies. Windfall losses instead cause a substantial deregulation in democracies but have no effects in autocracies. We then consider possible transmission channels. Democracies appear to redistribute the rents stemming from a positive windfall by increasing government expenditures. Rent extraction and economic efficiency considerations are both plausible drivers of the deregulation following windfall gains in autocracies, as expenditures are not raised, while GDP and employment gradually increase after positive windfalls. The deregulation following windfall losses in democracies is instead consistent with the crisis-induced-reform hypothesis, as the windfall loss induce a sharp deterioration of the current account and budget balances. |
| Keywords: | oil price; windfalls; labor market; deregulation; political institutions |
| JEL: | F16 J41 O13 P11 P16 Q02 |
| Date: | 2024–02 |
| URL: | https://d.repec.org/n?u=RePEc:acb:cbeeco:2024-696&r= |
| By: | Oleg Alekseev; Karel Janda; Mathieu Petit; David Zilberman |
| Abstract: | This paper investigates the return and volatility spillovers between the upstream electric vehicles (EV) battery raw materials market and the individual downstream EV producers. The study uses the daily stock returns of two lithium producers and a new model in the GARCH family to capture the jump component of volatility in the EV battery raw materials market. Return and volatility spillovers are studied using an EGARCH(1, 1) model including the excess stock returns of lithium producers in the mean equation and their jump component intensity in the variance equation. The results indicate that jumps exist in the EV battery raw materials market and that there exist significant return spillovers between lithium and EV producers. However, this paper didn’t find any strong evidence of the existence of volatility spillovers between these two markets through lithium unexpected news. |
| Keywords: | EVs, return spillovers, volatility spillovers, jump component, jump intensity, EGARCH-EARJI |
| JEL: | C22 G14 L61 L62 |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:een:camaaa:2024-40&r= |
| By: | Roshen Fernando |
| Abstract: | Climate change continues to be an existential threat to humanity. With intrinsic linkages to the natural environment, food and energy supply chains are two fundamental channels via which climate risks could spill over into the economy. This paper explores the global economic consequences of the physical climate impacts on agriculture and energy. Firstly, we construct a range of chronic and extreme climate risk indicators. Secondly, we incorporate those climate risk indicators, alongside the historical data on global agriculture and energy, in machine learning algorithms to estimate the historical responsiveness of agriculture and energy to climate risks. Thirdly, we project agriculture and energy production changes under three Shared Socioeconomic Pathways (SSPs). Finally, the derived shocks are introduced as economic shocks to the G-Cubed model, which is a global multisectoral intertemporal general equilibrium model. We evaluate the G-Cubed model simulation results for various economic variables, including real GDP, consumption, investment, exports and imports, real interest rates, and sectoral production. We observe substantial losses to all economies and adjustments to consumption and investment under the SSPs. The losses worsen with warming. Developing countries are disproportionately affected. However, we observe the potential for double dividends from transitioning to sustainable livestock production and renewable energy sources, preventing further warming and physical damages, and enhancing the resilience of food and energy supply chains to climate risks. |
| Keywords: | climate change, extreme events, physical climate risks, macroeconomics, CGE, DSGE, machine learning |
| JEL: | C51 C53 C54 C55 C68 F41 Q51 Q54 |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:een:camaaa:2024-37&r= |
| By: | Frederik von Waldow; Heike Link |
| Abstract: | This paper analyses the pass-through rates and their determinants of the temporary German fuel discount in 2022 at its start and its termination. Based on a unique dataset of fuel station characteristics and prices, we employ a Regression Discontinuity in Time (RDiT) methodology to estimate heterogeneous pass-through rates. Our main contribution is to identify the impact of horizontal and vertical market structures on the extent to which taxes are passed on to consumers. While competitive pressure is positively associated with the response of prices to tax changes, we estimate lower pass-through predominantly for more isolated stations with fewer competitors. Furthermore, our results indicate that independence from upstream markets is accompanied by a reduced pass-through of tax changes suggesting the existence of double marginalization. |
| Keywords: | Gasoline prices, local competition, tax pass-through, regression discontinuity in time |
| JEL: | Q48 H22 L13 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:diw:diwwpp:dp2086&r= |
| By: | Christiane Baumeister; Florian Huber; Massimiliano Marcellino |
| Abstract: | The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the oil market by setting up a general empirical framework that allows for flexible predictive distributions of oil prices that can depart from normality. This model, based on Bayesian additive regression trees, remains agnostic on the functional form of the conditional mean relations and assumes that the shocks are driven by a stochastic volatility model. We show that our nonparametric approach improves in terms of tail forecasts upon three competing models: quantile regressions commonly used for studying tail events, the Bayesian VAR with stochastic volatility, and the simple random walk. We illustrate the practical relevance of our new approach by tracking the evolution of predictive densities during three recent economic and geopolitical crisis episodes, by developing consumer and producer distress indices that signal the build-up of upside and downside price risk, and by conducting a risk scenario analysis for 2024. |
| JEL: | C11 C32 C53 Q41 Q47 |
| Date: | 2024–05 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:32524&r= |
| By: | Yunmi Kim (University of Seoul); Tae-Hwan Kim (Yonsei University) |
| Abstract: | Given the importance of uncertainty shocks to economic agents such as consumers, producers, investors, or policymakers, it seems surprising that little attention has been paid to developing models analyzing the effect of uncertainty (second-moment) shocks. In contrast, there have been a vast amount of literature dealing with the impact of level (first-moment) shocks. In this paper, we attempt to fill this gap by proposing a new concept: ‘generalized impulse.’ This concept is defined as a one-off external intervention given to a system which results in a change in the distribution of the internal structural errors of the system. Such an intervention can be given to the system in order to achieve some policy objectives, or it can be given exogenously by an external force outside the system. Uncertainty shocks are generated as a special case of such a generalized impulse. We also propose new impulse response functions called ‘variance impulse response function’ and ‘covariance impulse response function, ’ which can enable researchers to measure the impact of uncertainty shocks. We then apply our new methods to analyze the impact of uncertainty shocks in oil prices on the GDP growth rate, using data from the United States. When the level of uncertainty in oil prices unexpectedly increases, the price of oil tends to increase significantly and persistently, whereas the growth rate of GDP is adversely affected. Such a negative impact on GDP is present even after five years. Hence, our results indicate that an unexpected increase in uncertainty in oil prices can have an effect similar to an unexpected increase in oil prices themselves, but in a much worse manner. This is because the negative impact on output induced by uncertainty shocks can be much more persistent than the impact from level shocks. |
| Keywords: | Generalized Impulse, Uncertainty Shocks, Level Shocks, Intervention, Variance Impulse Response Function |
| JEL: | C32 C54 E52 |
| Date: | 2023–12 |
| URL: | https://d.repec.org/n?u=RePEc:yon:wpaper:2024rwp-226&r= |
| By: | Emilie Bourlier-Bargues (CleRMa - Clermont Recherche Management - ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand - UCA [2017-2020] - Université Clermont Auvergne [2017-2020]); Bertrand Valiorgue (EM - EMLyon Business School); Nicolas Spatola |
| Abstract: | Climate change and transition issues impose themselves on firms as they have to mitigate their impacts on the natural environment and prepare for the eruption of risks and hazards that will undoubtedly impact their commercial and industrial activities. Taking this new climate regime into account primarily concerns top executives and directors. If the need to integrate these new parameters is shared by the greatest number, inertia and business as usual strategies compromise the achievement of the objectives of the Paris agreements. In this article, we show that one of these sources of this inertia comes from cognitive processes that hinder decision-making at the level of the board of directors. After presenting the roots of cognitive biases, we detail six main biases that hinder decisions in favor of ambitious actions and strategies. We also show how the implementation of an appropriate decision-making architecture can mitigate the expression of these cognitive biases in the boardrooms. We end the article by presenting the first feedback from the case study that we designed in a comic book format to illustrate the main biases that limit the ability of companies and their leaders to meet the climate change strategic challenges. |
| Abstract: | Le changement climatique et les objectifs de transition s'imposent aux entreprises qui doivent atténuer leurs impacts sur l'environnement et se préparer à l'irruption de risques et aléas qui ne manqueront pas d'impacter leurs activités industrielles et commerciales. La prise en considération de cette nouvelle donne climatique concerne au premier chef les dirigeants et les administrateurs. Si la nécessité d'intégrer ces nouveaux paramètres est partagée par le plus grand nombre, force est de constater l'inertie des comportements et la lenteur des évolutions qui compromettent l'atteinte des objectifs de neutralité carbone de l'Accord de Paris. Dans cet article, nous montrons que l'une de ces sources de cette inertie provient de mécanismes cognitifs qui freinent la prise de décision aux niveaux des conseils d'administration. Après avoir présenté les biais cognitifs, nous détaillons six principaux biais qui freinent les décisions en faveur d'actions et de prises d'initiatives ambitieuses susceptibles d'aider les entreprises à relever le défi de la transition climatique. Nous montrons également comment la mise en place d'une architecture de décision adaptée peut permettre d'atténuer l'expression de ces biais cognitifs au sein des conseils d'administration. Nous terminons l'article en présentant les premiers retours d'expériences du cas pédagogique que nous avons conçu sous un format bande dessinée afin d'illustrer les principaux biais qui limitent la capacité des entreprises et de leurs dirigeants à relever le défi de la transition climatique. |
| Keywords: | Corporate governance, Cognitive biases, Choice architecture, Climate change, Changement climatique, Gouvernance d'entreprise, Conseil d'administration, Biais cognitifs, Architecture de décision, Board of directors |
| Date: | 2024 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-04580484&r= |
| By: | Caterina Morelli; Simone Boccaletti; Paolo Maranzano; Philipp Otto |
| Abstract: | The assessment of corporate sustainability performance is extremely relevant in facilitating the transition to a green and low-carbon intensity economy. However, companies located in different areas may be subject to different sustainability and environmental risks and policies. Henceforth, the main objective of this paper is to investigate the spatial and temporal pattern of the sustainability evaluations of European firms. We leverage on a large dataset containing information about companies' sustainability performances, measured by MSCI ESG ratings, and geographical coordinates of firms in Western Europe between 2013 and 2023. By means of a modified version of the Chavent et al. (2018) hierarchical algorithm, we conduct a spatial clustering analysis, combining sustainability and spatial information, and a spatiotemporal clustering analysis, which combines the time dynamics of multiple sustainability features and spatial dissimilarities, to detect groups of firms with homogeneous sustainability performance. We are able to build cross-national and cross-industry clusters with remarkable differences in terms of sustainability scores. Among other results, in the spatio-temporal analysis, we observe a high degree of geographical overlap among clusters, indicating that the temporal dynamics in sustainability assessment are relevant within a multidimensional approach. Our findings help to capture the diversity of ESG ratings across Western Europe and may assist practitioners and policymakers in evaluating companies facing different sustainability-linked risks in different areas. |
| Date: | 2024–05 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2405.20191&r= |
| By: | Sandkamp, Alexander-Nikolai |
| Abstract: | In the aftermath of the Covid-19 pandemic, China's share in European trade has fallen continuously. Nevertheless, the country remains the EU's largest source of imports (20.5 percent in 2023) and its third largest export destination (8.7 percent). • This apparent dominance of China is put into perspective when incorporating intra-EU trade. For example, Germany - Europe's largest economy - sent 6.1 percent of its exports to China, but 55 percent to EU members states. For imports, the Chinese and European shares are 11.5 percent and 52.7 percent, respectively. • Decoupling the EU from China (i.e. almost eliminating bilateral trade) would permanently reduce European real income by 0.8 percent in the long-run. In terms of gross domestic product in 2023, the EU would forego 136 billion EUR of value added every year. Short-term effects are likely to be stronger. • China dominates global production of important products such as laptops and mobile phones as well as raw materials including Germanium and Gallium that are critical for the green energy transition. A trade disruption might thus both delay the energy transition and increase its costs. • To reduce specific dependencies, the EU should intensify its efforts to diversify procurement by increasing the attractiveness of alternative suppliers. Finding the courage to move forward in the negotiation of free trade agreements with potential strategic partners such as Australia and the Mercosur countries would strengthen the EU's geopolitical position and increase prosperity among partners. |
| Abstract: | Im Nachgang der Covid-19-Pandemie ist der Anteil Chinas am europäischen Handel kontinuierlich gesunken. Dennoch bleibt das Land die größte Importquelle der EU (20, 5 Pro-zent im Jahr 2023) und ihr drittgrößtes Exportziel (8, 7 Prozent). • Diese scheinbare Dominanz Chinas relativiert sich, wenn man den Intra-EU-Handel mit einbezieht. Deutschland - die größte europäische Volkswirtschaft - lieferte beispielsweise 6, 1 Prozent seiner Ausfuhren nach China, aber 55 Prozent in die EU-Mitgliedstaaten. Bei den Einfuhren liegen die chinesischen und europäischen Anteile bei 11, 5 Prozent bzw. 52, 7 Prozent. • Eine Abkopplung der EU von China (d.h. ein weitgehender Wegfall des bilateralen Handels) würde das europäische Realeinkommen langfristig um 0, 8 Prozent senken. Bezogen auf das Bruttoinlandsprodukt im Jahr 2023 würde die EU jährlich auf 136 Milliarden EUR an Wertschöpfung verzichten. Kurzfristig dürften die Auswirkungen stärker sein. • China dominiert die weltweite Produktion von wichtigen Produkten wie Laptops und Mobiltelefonen sowie von Rohstoffen wie Germanium und Gallium, die für die grüne Energiewende entscheidend sind. Eine Handelsunterbrechung könnte daher sowohl die Energiewende verzögern als auch deren Kosten erhöhen. • Um spezifische Abhängigkeiten zu verringern, sollte die EU ihre Bemühungen um eine Diversifizierung der Beschaffung verstärken, indem sie die Attraktivität alternativer Lieferanten erhöht. Den Mut zu finden, die Verhandlungen über Freihandelsabkommen mit potenziellen strategischen Partnern wie Australien und den Mercosur-Ländern voranzutreiben, würde die geopolitische Position der EU stärken und den Wohlstand aller Beteiligten erhöhen. |
| Keywords: | China, European Union, Germany, international trade, decoupling, China, Europäische Union, Deutschland, internationaler Handel, Entkopplung |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:ifwkpb:297975&r= |
| By: | Castelao Caruana, María Eugenia; de Vita, Mariel |
| Abstract: | En la última década, Argentina ha incorporado en su agenda política las nociones de bioeconomía y de transición energética como respuesta a los desafíos globales y como espacios de oportunidad para mejorar la competitividad de su estructura productiva. Sin embargo, la explotación a nivel territorial de las oportunidades que ofrecen estos espacios supone un diseño institucional adaptado a las especificidades locales y la acción deliberada en materia de aprendizaje de los actores del territorio. Este trabajo analiza la manera en que el diseño institucional de la transición energética interactúa con el entramado tecno productivo de la bioenergía presente en las provincias de Buenos Aires y Santa Fe. El análisis muestra que existe un desacoplamiento entre la política de transición energética nacional y las políticas provinciales, y entre estas y las especificidades de los territorios, lo que ha incidido negativamente en la conformación de un entramado tecno productivo promotor de nuevas competencias. |
| Keywords: | Transición Energética; Provincia de Buenos Aires; Provincia de Santa Fe; |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:nmp:nuland:4100&r= |
| By: | Patrick Criqui (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes) |
| Abstract: | Le début des années vingt marquera certainement un tournant dans le XXIème siècle. Tournant dans le cours du processus de globalisation qui s'était déployé à partir des années 90 du siècle précédent et, plus récemment, tournant du retour brutal de la géopolitique sur la scène internationale. La montée des populismes, la crise du COVID, l'invasion de l'Ukraine vont marquer l'évolution de la société mondiale et probablement pour longtemps. Dans « l'après » de ces évènements, peu de choses resteront inchangées. |
| Keywords: | Politiques climatiques internationales, Géopolitique |
| Date: | 2023 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-04578195&r= |
| By: | François-Charles Wolff; Pierre-Alexandre Mahieu; Brice Trouillet; Alexia Pigeault; Nicolas Rollo |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:tep:tepprr:rr24-05&r= |