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Building back better: How big are green spending multipliers?

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  • Batini, Nicoletta
  • Di Serio, Mario
  • Fragetta, Matteo
  • Melina, Giovanni
  • Waldron, Anthony

Abstract

Is there a trade-off between spending on the green economy and an economy's strength? This paper addresses this question by estimating output multipliers for spending in clean energy and biodiversity conservation, and by comparing these to multipliers of spending on non-ecofriendly energy and land use activities. Using a new international dataset, we arrive at two key results. First, we find that every dollar spent on key carbon-neutral or carbon-sink activities can generate more than a dollar's worth of economic activity, whereas non-green spending returns less than a dollar. Second, for categories of spending where formal comparisons are possible, like renewable versus fossil fuel energy, we find that multipliers on green spending are about twice as large as their non-green counterparts. The point estimates of the multipliers are 1.1–1.7 for renewable energy investment and 0.4–0.7 for fossil fuel energy investment, depending on horizon and specification. These findings survive several robustness checks and lend support to bottom-up analyses that find that stabilizing climate and reversing biodiversity loss go hand in hand with economic prosperity.

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  • Batini, Nicoletta & Di Serio, Mario & Fragetta, Matteo & Melina, Giovanni & Waldron, Anthony, 2022. "Building back better: How big are green spending multipliers?," Ecological Economics, Elsevier, vol. 193(C).
  • Handle: RePEc:eee:ecolec:v:193:y:2022:i:c:s0921800921003645
    DOI: 10.1016/j.ecolecon.2021.107305
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    2. Vona, Francesco, 2023. "Skills and human capital for the low-carbon transition in developing and emerging economies," FEEM Working Papers 338778, Fondazione Eni Enrico Mattei (FEEM).
    3. Francesco Vona, 2023. "Skills and human capital for the low-carbon transition in developing and emerging economies," Working Papers 2023.19, Fondazione Eni Enrico Mattei.
    4. André Tomfort, 2023. "Making Green Bonds Greener: Proposals to Increase the Efficiency of Green Bonds," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(1), pages 1-5.
    5. Ciccarelli, Matteo & Marotta, Fulvia, 2021. "Demand or supply? An empirical exploration of the effects of climate change on the macroeconomy," Working Paper Series 2608, European Central Bank.
    6. Sabaj, Ernil & Sbia, Rashid & Troug, Haytem, 2023. "Does it matter where and how governments spend?," Economics Letters, Elsevier, vol. 228(C).
    7. Taheripour,Farzad & Chepeliev,Maksym & Damania,Richard & Farole,Thomas & Lozano Gracia,Nancy & Russ,Jason Daniel, 2021. "Putting the Green Back in Greenbacks : Opportunities for a Truly Green Stimulus," Policy Research Working Paper Series 9742, The World Bank.
    8. Shabir, Maria & Pazienza, Pasquale & De Lucia, Caterina, 2023. "Energy innovation and ecological footprint: Evidence from OECD countries during 1990–2018," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    9. Frederick Ploeg, 2023. "Fiscal Costs of Climate Policies: Role of Tax, Political, and Behavioural Distortions," De Economist, Springer, vol. 171(2), pages 119-137, June.
    10. Angela Köppl & Margit Schratzenstaller, 2022. "Macroeconomic Effects of Green Recovery Programmes. Conceptual Framing and a Review of the Empirical Literature," WIFO Working Papers 646, WIFO.
    11. Andrew, Kevin & Majerbi, Basma & Rhodes, Ekaterina, 2022. "Slouching or speeding toward net zero? Evidence from COVID-19 energy-related stimulus policies in the G20," Ecological Economics, Elsevier, vol. 201(C).
    12. V. A. Malakhov & K. V. Nesytykh, 2022. "Russia’s Long-Term Macroeconomic Losses and Benefits from the Low-Carbon Development of the World and Domestic Energy Industry," Studies on Russian Economic Development, Springer, vol. 33(4), pages 392-401, August.

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    More about this item

    Keywords

    Green multiplier; Green stimulus; Clean energy; Conservation spending; Nuclear energy; Biodiversity; Nature-based solutions; Agricultural subsidies; Fossil fuels;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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