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Metrics for the sustainable development goals: renewable energy and transportation

Author

Listed:
  • Jonathan J. Buonocore

    (Harvard T.H. Chan School of Public Health)

  • Ernani Choma

    (Harvard University
    Harvard T.H. Chan School of Public Health)

  • Aleyda H. Villavicencio

    (Harvard T.H. Chan School of Public Health)

  • John D. Spengler

    (Harvard T.H. Chan School of Public Health)

  • Dinah A. Koehler

    (UBS Asset Management
    NetPurpose)

  • John S. Evans

    (Harvard T.H. Chan School of Public Health)

  • Jos Lelieveld

    (Max Planck Institute for Chemistry)

  • Piet Klop

    (PGGM)

  • Ramon Sanchez-Pina

    (Harvard T.H. Chan School of Public Health)

Abstract

The private sector is interested in contributing to the United Nations (UN) Sustainable Development Goals (SDGs); however, they lack credible objective metrics to measure progress, which hinders making a case for financial investing toward the SDGs. A set of science-based metrics could allow corporations and interested investors to meaningfully align their actions with the SDGs in locations around the world where they can make the greatest positive impact. Using existing data on country-level electricity generation and land transportation, we develop a set of simple-to-implement and user-friendly metrics to evaluate the benefits that investments in renewable electricity generation and improvements in land transportation can make toward reducing CO2 and air pollutant emissions and the health impacts of air pollution. We then apply these metrics to a set of renewable electricity companies and find meaningful differences in their progress toward the SDGs on health, energy, and climate. We found that under half of the renewable energy companies in our dataset disclose country-level data on where equipment is being sold, and that there is substantial variability in the CO2 reductions and health benefits of renewable energy based on where these companies have installed capacity. There was not a close statistical relationship between country CO2 emissions rates and country health impact rates, indicating that these metrics cannot serve as good proxies for one another. Future improvements to this methodology should be to implement explicit tracking of air pollution from sources to the locations where it has eventual health impacts, updating the underlying dataset, and improving the degree of detail in emissions inventories. Application of this methodology across the renewable energy sector is limited by the availability of country-level data on where a company has renewable energy capacity installed. The methodology developed here can serve as a basis for better measurement of progress toward climate, energy, and health-related SDGs in financial investing and other applications.

Suggested Citation

  • Jonathan J. Buonocore & Ernani Choma & Aleyda H. Villavicencio & John D. Spengler & Dinah A. Koehler & John S. Evans & Jos Lelieveld & Piet Klop & Ramon Sanchez-Pina, 2019. "Metrics for the sustainable development goals: renewable energy and transportation," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-14, December.
  • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0336-4
    DOI: 10.1057/s41599-019-0336-4
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    1. Barbose, Galen & Wiser, Ryan & Heeter, Jenny & Mai, Trieu & Bird, Lori & Bolinger, Mark & Carpenter, Alberta & Heath, Garvin & Keyser, David & Macknick, Jordan & Mills, Andrew & Millstein, Dev, 2016. "A retrospective analysis of benefits and impacts of U.S. renewable portfolio standards," Energy Policy, Elsevier, vol. 96(C), pages 645-660.
    2. Pfeiffer, Alexander & Hepburn, Cameron & Vogt-Schilb, Adrien & Caldecott, Ben, 2018. "Committed Emissions from Existing and Planned Power Plants and Asset Stranding Required to Meet the Paris Agreement," IDB Publications (Working Papers) 8886, Inter-American Development Bank.
    3. World Bank & Institute for Health Metrics and Evaluation, 2016. "The Cost of Air Pollution," World Bank Publications - Reports 25013, The World Bank Group.
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    Cited by:

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    2. Ding, Feng & Yang, Jianping & Zhou, Zan, 2023. "Economic profits and carbon reduction potential of photovoltaic power generation for China's high-speed railway infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    3. Molebaleso Lydia Ntshingila, 2022. "Assessment of fuel price, exchange rate and unemployment rate impact on road passenger journeys in South Africa," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(6), pages 362-369, September.
    4. Nariê Rinke Dias de Souza & Alexandre Souza & Mateus Ferreira Chagas & Thayse Aparecida Dourado Hernandes & Otávio Cavalett, 2022. "Addressing the contributions of electricity from biomass in Brazil in the context of the Sustainable Development Goals using life cycle assessment methods," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 980-995, June.
    5. Yuriy Leonidovich Zhukovskiy & Daria Evgenievna Batueva & Alexandra Dmitrievna Buldysko & Bernard Gil & Valeriia Vladimirovna Starshaia, 2021. "Fossil Energy in the Framework of Sustainable Development: Analysis of Prospects and Development of Forecast Scenarios," Energies, MDPI, vol. 14(17), pages 1-28, August.
    6. A. G. Olabi & Khaled Obaideen & Mohammad Ali Abdelkareem & Maryam Nooman AlMallahi & Nabila Shehata & Abdul Hai Alami & Ayman Mdallal & Asma Ali Murah Hassan & Enas Taha Sayed, 2023. "Wind Energy Contribution to the Sustainable Development Goals: Case Study on London Array," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
    7. Abdul Ghani Olabi & Nabila Shehata & Hussein M. Maghrabie & Lobna A. Heikal & Mohammad Ali Abdelkareem & Shek Mohammod Atiqure Rahman & Sheikh Khaleduzzaman Shah & Enas Taha Sayed, 2022. "Progress in Solar Thermal Systems and Their Role in Achieving the Sustainable Development Goals," Energies, MDPI, vol. 15(24), pages 1-31, December.
    8. Manu, Emmanuel Kwaku & Chen, George S. & Asante, Dennis, 2022. "Regional heterogeneities in the absorptive capacity of renewable energy deployment in Africa," Renewable Energy, Elsevier, vol. 193(C), pages 554-564.
    9. Dong, Zhuojia & Yu, Xianyu & Chang, Ching-Ter & Zhou, Dequn & Sang, Xiuzhi, 2022. "How does feed-in tariff and renewable portfolio standard evolve synergistically? An integrated approach of tripartite evolutionary game and system dynamics," Renewable Energy, Elsevier, vol. 186(C), pages 864-877.
    10. Singh, Devesh, 2022. "Renewable energy, urban primacy, foreign direct investment, and value-added in European regions," Renewable Energy, Elsevier, vol. 186(C), pages 547-561.
    11. Yoro, Kelvin O. & Daramola, Michael O. & Sekoai, Patrick T. & Wilson, Uwemedimo N. & Eterigho-Ikelegbe, Orevaoghene, 2021. "Update on current approaches, challenges, and prospects of modeling and simulation in renewable and sustainable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    12. Dongmyoung Kim & Taesu Jeon & Insu Paek & Daeyoung Kim, 2022. "A Study on Available Power Estimation Algorithm and Its Validation," Energies, MDPI, vol. 15(7), pages 1-14, April.
    13. Susana Silva & Erika Laranjeira & Isabel Soares, 2021. "Health Benefits from Renewable Electricity Sources: A Review," Energies, MDPI, vol. 14(20), pages 1-17, October.
    14. Molly E. Brown, 2021. "Metrics to Accelerate Private Sector Investment in Sustainable Development Goal 2—Zero Hunger," Sustainability, MDPI, vol. 13(11), pages 1-6, May.

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