Quantitative Analysis of the Impact of Public Policies on the Sustainable Development Goals through Budget Allocation and Indicators

Raffaele Sisto, Javier García López, Alberto Quintanilla, Álvaro de Juanes, Dalia Mendoza, Julio Lumbreras and Carlos Mataix
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Raffaele Sisto: Departamento de Ingeniería de Organización, Administración de Empresas y Estadística, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain
Javier García López: Departamento de Ingeniería de Organización, Administración de Empresas y Estadística, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain
Alberto Quintanilla: Smart & City Solutions SL, Calle Blasco de Garay 61, 28015 Madrid, Spain
Álvaro de Juanes: Smart & City Solutions SL, Calle Blasco de Garay 61, 28015 Madrid, Spain
Dalia Mendoza: Smart & City Solutions SL, Calle Blasco de Garay 61, 28015 Madrid, Spain
Julio Lumbreras: Harvard Kennedy School, 79 John F. Kennedy St, Cambridge, MA 02138, USA
Carlos Mataix: Innovation and Technology for Development Centre, Technical University of Madrid, Av. Complutense s/n, 28040 Madrid, Spain

Sustainability, 2020, vol. 12, issue 24, 1-15

Abstract: Measuring the advances performed in the 2030 Agenda and the contribution of public policies remains a key issue. Budgets are acknowledged as one of the most powerful tools made available to administrations to push forward this contribution, and so several initiatives have risen to align budget items and Sustainable Development Goal (SDG) performance at all levels. The aim of this paper is to go beyond simple alignment and statistically analyze the interlinkages between budget and SDG achievement data. We have used the Spanish local administrations budget, together with indicators used to measure the 2030 Agenda goals at the same level, and computed a correlation test in order to find where budget allocation has an impact. We have then looked further into the relevant impacts to split them into direct and indirect. The research found ca. 25% of the budget items with relevant statistical links to the SDGs, with the SDGs 11 and 15 being the least impacted and SDGs 1, 4, 7, 8 and 16 the most connected ones. This research aims to set the bases of an evidence-based decision-support tool for a more efficient and sustainable policy design.

Keywords: Sustainable Development Goals; SDG; 2030 Agenda; budget; public policy; evaluation; indicators; meta-analysis; impact assessment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:24:p:10583-:d:464071

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