Policy Coherence for Carbon Neutrality
The Fiscal, Monetary, and Energy Strategies for Sustainable Development Goals
Datos Bibliográficos
| ID | 12306830 |
|---|---|
| Autores | Mo Li (0000-0002-7068-2938, School of Public Finance & Taxation Guangdong University of Finance & Economics Guangzhou China), E Marian Scott (0009-0002-3348-7073, Keneth C Griffin, Department of Economics University of Chicago Chicago Illinois USA, autor de correspondencia) |
| Año | 2025 |
| Fecha de publicación | 2025-12-12 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sustainable Development (JOURNAL) |
| Identificadores de la revista | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.70564 |
| OpenAlex | W4417290186 |
| Idioma | EN |
| Referencias citadas | 67 |
This study examines the association between fiscal policy, monetary policy, renewable energy use, natural resource rents, and economic growth with CO 2 emissions in G‐20 economies from 1990 to 2023. Using annual panel data specified predominantly in logarithmic form, with monetary‐policy variables retained in levels, we apply the Method of Moments Quantile Regression (MMQR) to assess heterogeneous long‐run relationships across the emissions distribution. Robustness is evaluated through Common Correlated Effects Mean Group (CCEMG) and Augmented Mean Group (AMG) estimators. Three main results emerge. First, natural resource rents and fiscal spending (% of GDP) display positive elasticities with CO 2 emissions across all quantiles. Second, renewable energy exhibits negative elasticities, with stronger emission‐reducing effects in higher‐emission quantiles. Third, tighter monetary conditions are associated with lower emissions, whereas economic growth is positively linked with CO 2 levels throughout the distribution. Taken together, the findings suggest that carefully targeted fiscal restructuring, expanded renewable‐energy deployment, and prudent macro‐financial coordination can support long‐run decarbonization efforts in the G‐20, while recognizing that the results describe associations rather than causal effects
Economic rent · Natural resource · Panel data · Quantile regression · Renewable energy · Robustness (evolution · Sustainable development · Sustainable Growth Rate · Climate Change Policy and Economics · Energy, Environment, Economic Growth · Environmental Impact and Sustainability
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Quantile Regression
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |