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The effect of Climate Finance on Greenhouse Gas Emission: A Quantile Regression Approach

Author

Listed:
  • Alfonso Carfora

    (Italian Revenue Agency, Via Cristoforo Colombo, 426 00145 Rome, Italy)

  • Monica Ronghi

    (Department of Management Studies and Quantitative Methods, University of Naples Parthenope, Via Generale Parisi, 13 Naples, Italy)

  • Giuseppe Scandurra

    (Department of Management Studies and Quantitative Methods, University of Naples Parthenope, Via Generale Parisi, 13 Naples, Italy)

Abstract

Climate finance plays a primary role in international climate change agreements. It is a way to involve flows of funds from developed to developing countries that aims to help poorer countries shift toward low-emission, climate-resilient development pathways. In this paper, we study the flow of funds intended to promote energy generation and supply and biosphere protection in order to identify preferential channels in Fast-start finance distribution. We analyze the flow of funds among countries and the relationship between climate finance and a composite indicators that summarize and rank the greenhouse gas emissions by using a quantile regression model. Our results revealed a strong heterogeneity in the way the funds are being allocated by donors and show that close attention should be paid to the analysis of political contexts.

Suggested Citation

  • Alfonso Carfora & Monica Ronghi & Giuseppe Scandurra, 2017. "The effect of Climate Finance on Greenhouse Gas Emission: A Quantile Regression Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 185-199.
    • Handle: RePEc:eco:journ2:2017-01-20
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    3. Naoyuki Yoshino & Tim Schloesser & Farhad Taghizadeh‐Hesary, 2021. "Social funding of green financing: An application of distributed ledger technologies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6060-6073, October.
    4. Thach Ngoc Pham & Duc Hong Vo, 2017. "Equity Beta for Regulated Energy Businesses in Australia: A Revisit," International Journal of Energy Economics and Policy, Econjournals, vol. 7(6), pages 11-18.
    5. Renato Passaro & Ivana Quinto & Giuseppe Scandurra & Antonio Thomas, 2020. "How Do Energy Use and Climate Change Affect Fast-Start Finance? A Cross-Country Empirical Investigation," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    6. Lee, Chi-Chuan & Li, Xinrui & Yu, Chin-Hsien & Zhao, Jinsong, 2022. "The contribution of climate finance toward environmental sustainability: New global evidence," Energy Economics, Elsevier, vol. 111(C).
    7. Carfora, Alfonso & Scandurra, Giuseppe, 2019. "The impact of climate funds on economic growth and their role in substituting fossil energy sources," Energy Policy, Elsevier, vol. 129(C), pages 182-192.
    8. Cafora, Alfonso & Romano, Antonio Angelo & Ronghi, Monica & Giuseppe, Scandurra, 2017. "Substituting fossil energy sources: the role of the climate funds and effects on the economic growth," MPRA Paper 82373, University Library of Munich, Germany.

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    More about this item

    Keywords

    Climate Funds; Composite Indicator; Developing Countries;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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