Resource and Energy Economics最新文献_第4页

The intrinsic value of decision rights: Field evidence from electricity contract choice automation 决策权的内在价值：电力合同选择自动化的实地证据

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-04-04 DOI: 10.1016/j.reseneeco.2024.101440

Christoph Feldhaus , Jörg Lingens , Andreas Löschel , Gerald Zunker

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引用次数: 0

Farm debt and the over-exploitation of natural capital 农业债务和自然资本的过度开发

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-03-24 DOI: 10.1016/j.reseneeco.2024.101439

Graeme Guthrie

引用次数: 0

Rent formation and distortions due to quotas in biological production processes 生物生产过程中配额造成的租金形成和扭曲

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-03-16 DOI: 10.1016/j.reseneeco.2024.101438

Atle Oglend , Frank Asche , Hans-Martin Straume

引用次数: 0

Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data 感受高温？利用推特数据分析西班牙的气候变化情绪

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-03-08 DOI: 10.1016/j.reseneeco.2024.101437

Maria L. Loureiro , Maria Alló

引用次数: 0

The political economy of financing climate policy — Evidence from the solar PV subsidy programs 气候政策融资的政治经济学--来自太阳能光伏补贴项目的证据

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-02-28 DOI: 10.1016/j.reseneeco.2024.101436

Olivier De Groote , Axel Gautier , Frank Verboven

引用次数: 0

The distributional effects of CO2 pricing at home and at the border on German income groups 国内和边境二氧化碳定价对德国收入群体的分配影响

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-02-13 DOI: 10.1016/j.reseneeco.2024.101435

Michael Hübler , Malin Wiese , Marius Braun , Johannes Damster

{"title":"The distributional effects of CO2 pricing at home and at the border on German income groups","authors":"Michael Hübler , Malin Wiese , Marius Braun , Johannes Damster","doi":"10.1016/j.reseneeco.2024.101435","DOIUrl":"10.1016/j.reseneeco.2024.101435","url":null,"abstract":"<div><p>While climate policy studies are widespread, fully fledged computable general equilibrium (CGE) model analyses of distributional policy effects are challenging because the required data and approaches are not directly available. To ease such distributional analyses, we provide a step-by-step “recipe” for disaggregating a country-specific representative consumer of a CGE model. Using this “recipe”, we implement German household survey data in a global CGE model by distinguishing three income groups of the German representative consumer. We find that the negative consumption effect of CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> pricing is highest for the low-income group, whereas the negative income effect is highest for the high-income group and exceeds the consumption effect. The low-income group benefits most from (per capita-based redistribution of) carbon pricing revenues and receives social transfers such that poor households can be better off with such climate policies than without them. CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> pricing of imports at the (EU) border slightly strengthens these distributional effects and is mainly beneficial for the low-income group. The geographic extension of emissions trading within a “climate club” leads to substantial efficiency gains that are beneficial for Germany and the EU.</p></div>","PeriodicalId":47952,"journal":{"name":"Resource and Energy Economics","volume":"77 ","pages":"Article 101435"},"PeriodicalIF":2.9,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0928765524000113/pdfft?md5=0507c63903c313654d538e3f4aae24f5&pid=1-s2.0-S0928765524000113-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139815530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Domestic versus international emissions trading with capital mobility 具有资本流动性的国内与国际排放贸易

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-02-01 DOI: 10.1016/j.reseneeco.2024.101433

Haitao Cheng

引用次数: 0

When should the regulator be left alone in the commons? How fishing cooperatives can help ameliorate inefficiencies 何时应让监管者独享公共资源？渔业合作社如何帮助改善效率低下问题

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-01-29 DOI: 10.1016/j.reseneeco.2024.101434

Juan Rosas-Munoz , Ana Espinola-Arredondo , Felix Munoz-Garcia

引用次数: 0

Exclusion zones for renewable energy deployment: One man’s blessing, another man’s curse 可再生能源部署的禁区：一荣俱荣，一损俱损

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-01-18 DOI: 10.1016/j.reseneeco.2023.101419

Paul Lehmann , Philip Tafarte

{"title":"Exclusion zones for renewable energy deployment: One man’s blessing, another man’s curse","authors":"Paul Lehmann , Philip Tafarte","doi":"10.1016/j.reseneeco.2023.101419","DOIUrl":"https://doi.org/10.1016/j.reseneeco.2023.101419","url":null,"abstract":"<div><p>Exclusion zones, like protected areas or setback distances, are the most common policy instrument to mitigate environmental impacts of human land-use, including the deployment of renewable energy sources (RES). However, exclusion zones may also increase generation and environmental costs of RES deployment. This paper aims to understand and quantify these trade-offs. Using a simple analytical model, we propose that cost effects of exclusion zones can be decomposed into a substitution effect (because RES generation is shifted to sites with higher or lower marginal costs) and an output effect (because more sites may be needed to attain a given RES generation target). We provide a numerical illustration for two examples of exclusion zones – setback distances to settlements and forest bans – which are implemented for wind power deployment in Germany. We find that moderate setback distances reduce disamenity costs but also lead to increases in generation and other environmental costs. This trade-off is primarily due to the output effect. Importantly, the output effect also implies that very restrictive setback distances may fail to reduce, and even increase, aggregate disamenity costs of wind power deployment. For forest bans, our analysis reveals substantial increases in disamenity costs. This trade-off mainly results from the substitution effect. Our analytical insights can be transferred to other fields of environmental policy, for example, exclusion zones regulating agricultural land-use or urban development.</p></div>","PeriodicalId":47952,"journal":{"name":"Resource and Energy Economics","volume":"76 ","pages":"Article 101419"},"PeriodicalIF":2.9,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S092876552300074X/pdfft?md5=3bd24b19c40964b3b0347ac212f60b38&pid=1-s2.0-S092876552300074X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139494139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The long-run value of electricity reliability in India 印度电力可靠性的长期价值

IF 2.9 3区经济学

Resource and Energy Economics Pub Date : 2024-01-11 DOI: 10.1016/j.reseneeco.2024.101425

Shefali Khanna , Kevin Rowe

引用次数: 0