Abstract

The 2030 Agenda for sustainable development comprises 17 Sustainable Development Goals (SDGs) that aimed at achieving universal access to basic needs and services for all. Moreover, the SDGs present a broad and comprehensive set of goals that cover social, economic and environmental aspects. The global SDGs are interlinked and they are either mutually supportive or conflicting. Informing about the interlinkages enables policy makers to harness synergies and manage any potential conflicts between policies engaged to achieve the SDGs. This paper introduces a framework to analyze interlinkages across the SDGs based on a bottom-up process which is supported by a quantitative nexus theoretical method to evaluate the direct and indirect quantitative interactions among SDG variables. Firstly, the general concept of analyzing interactions based on a bottom-up process is presented. Secondly, a quantitative nexus method based on input-output theory that permits the evaluation of the direct and indirect interaction effects among SDG variables is introduced. Lastly, a numerical experiment is presented and results are discussed.

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