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Localization of SDGs through Disaggregation of KPIs

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  • Manohar Patole

    (Independent Consultant on Environmental Governance. Brooklyn, NY 11218, USA)

Abstract

The United Nation’s Agenda 2030 and Sustainable Development Goals (SDGs) pick up where the Millennium Development Goals (MDGs) left off. The SDGs set forth a formidable task for the global community and international sustainable development over the next 15 years. Learning from the successes and failures of the MDGs, government officials, development experts, and many other groups understood that localization is necessary to accomplish the SDGs but how and what to localize remain as questions to be answered. The UN Inter-Agency and Expert Group on Sustainable Development Goals (UN IAEG-SDGs) sought to answer these questions through development of metadata behind the 17 goals, 169 associated targets and corresponding indicators of the SDGs. Data management is key to understanding how and what to localize, but, to do it properly, the data and metadata needs to be properly disaggregated. This paper reviews the utilization of disaggregation analysis for localization and demonstrates the process of identifying opportunities for subnational interventions to achieve multiple targets and indicators through the formation of new integrated key performance indicators. A case study on SDG 6: Clean Water and Sanitation is used to elucidate these points. The examples presented here are only illustrative—future research and the development of an analytical framework for localization and disaggregation of the SDGs would be a valuable tool for national and local governments, implementing partners and other interested parties.

Suggested Citation

  • Manohar Patole, 2018. "Localization of SDGs through Disaggregation of KPIs," Economies, MDPI, vol. 6(1), pages 1-17, March.
  • Handle: RePEc:gam:jecomi:v:6:y:2018:i:1:p:15-:d:134670
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    References listed on IDEAS

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    1. Nana Poku & Jim Whitman, 2011. "The Millennium Development Goals and Development after 2015," Third World Quarterly, Taylor & Francis Journals, vol. 32(1), pages 181-198.
    2. Martin Hilbert, 2016. "Big Data for Development: A Review of Promises and Challenges," Development Policy Review, Overseas Development Institute, vol. 34(1), pages 135-174, January.
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    2. Taher Osman & Emad Kenawy & Karim I. Abdrabo & David Shaw & Aref Alshamndy & Mohamed Elsharif & Muhammad Salem & Mamdooh Alwetaishi & Reda M. Aly & Bahaa Elboshy, 2021. "Voluntary Local Review Framework to Monitor and Evaluate the Progress towards Achieving Sustainable Development Goals at a City Level: Buraidah City, KSA and SDG11 as A Case Study," Sustainability, MDPI, vol. 13(17), pages 1-16, August.
    3. Battaglia Massimo & Gragnani Patrizia & Annesi Nora, 2020. "Moving Businesses toward Sustainable Development Goals (SDGs): Evidence from an Italian “Benefit-For-Nature” Corporation," Entrepreneurship Research Journal, De Gruyter, vol. 10(4), pages 1-36, October.
    4. Chrysaida-Aliki Papadopoulou & Maria P. Papadopoulou & Chrysi Laspidou, 2022. "Implementing Water-Energy-Land-Food-Climate Nexus Approach to Achieve the Sustainable Development Goals in Greece: Indicators and Policy Recommendations," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    5. Nadine Bachmann & Shailesh Tripathi & Manuel Brunner & Herbert Jodlbauer, 2022. "The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals," Sustainability, MDPI, vol. 14(5), pages 1-33, February.
    6. Guerrero, Omar A. & Castañeda, Gonzalo & Trujillo, Georgina & Hackett, Lucy & Chávez-Juárez, Florian, 2022. "Subnational sustainable development: The role of vertical intergovernmental transfers in reaching multidimensional goals," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    7. Rodrigo Coelho de Carvalho & Maria Inês Pedrosa Nahas & Léo Heller, 2020. "Localizing Sustainable Development Goal 6: An Assessment of Equitable Access to Sanitation in a Brazilian Metropolitan Region," Sustainability, MDPI, vol. 12(17), pages 1-19, August.

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