Can weather variables and electricity demand predict carbon emissions allowances prices? Evidence from the first three phases of the EU ETS
Bibliographic Data
| ID | 14862910 |
|---|---|
| Authors | Mohammadehsan Eslahi (0000-0002-1529-5011, Centre National de la Recherche Scientifique, corresponding author), Patrick Mazza (0000-0002-4578-4692, Centre National de la Recherche Scientifique) |
| Year | 2023 |
| Volume | 214 |
| Pages | 107985 |
| Publication date | 2023-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ecological Economics (JOURNAL) |
| Journal identifiers | ISSN: 0921-8009 • E-ISSN: 1873-6106 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ecolecon.2023.107985 |
| OpenAlex | W4386750944 |
| Language | EN |
| Citations received | 4 |
| References cited | 44 |
Climate change · Econometrics · Economics · Electricity · Electricity demand · Electricity generation · Emissions trading · European union · Extreme weather · Greenhouse gas · International economics · Natural resource economics · Renewable energy · Climate Change Policy and Economics · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Environmental Science
Synergy pathway innovation of carbon emission trading, tradable green certificate and green power trading policies
Can we have the best of both worlds? The impact of emission trading system on carbon reduction and economic growth in China
The effectiveness of carbon emission trading system
Mission accomplished? A post-assessment of EU ETS impact on power sector emissions reduction
A very high-resolution (1 km×1 km) global fossil fuel CO 2 emission inventory derived using a point source database and satellite observations of nighttime lights
Energy consumption, financial development and economic growth in India
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
The Open-source Data Inventory for Anthropogenic CO 2 , version 2016 (Odiac2016)
The ERA5 global reanalysis
EU Emission Allowances and the stock market
| Citations per year | 4 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |