![]() Policy integration, often used interchangeably with policy coherence, refers to “policy making processes that take into account interdependences between dimensions and sectors” ( 2), in contrast to “silo planning” ( 3). The Agenda is innovative in that it recognizes the integrated nature of the SDGs and explicitly calls for policy integration. These cover a broad spectrum of development issues relevant to all countries. The 2030 Agenda for Sustainable Development launched by the United Nations in 2015 provides a framework to guide global progress toward 17 sustainable development goals (SDGs) and 169 targets ( 1). We conclude that enhanced understanding of synergies in sustainable development planning can contribute to progress on the SDGs-and free substantial amounts of resources. ![]() We estimate the value of these contributions to be 3% of gross domestic product (GDP) for Côte d’Ivoire, 0.4% for Malawi, and 0.7% for Senegal. Synergy contributions to overall SDG performance were 7% for Côte d’Ivoire, 0.7% for Malawi, and 2% for Senegal. In the pilots, the integrated SDG (iSDG) model was used to simulate the effects of policies over the SDG time horizon and to assess the contributions of synergies. We operationalize the typology in pilot studies of SDG strategies undertaken in Senegal, Côte d’Ivoire, and Malawi. We also introduce a typology of 5 classes of synergies that enables an understanding of their causal structures. In this paper, we present a method for identifying synergies and assessing them quantitatively. However, identifying and quantifying these synergetic interactions are infeasible with traditional approaches to policy analysis. Identifying those synergies ex ante facilitates the harmonization of policies and provides an important lever to achieve the sustainable development goals (SDGs) of the United Nations 2030 Agenda. ![]() ![]() As countries pursue sustainable development across sectors as diverse as health, agriculture, and infrastructure, sectoral policies interact, generating synergies that alter their effectiveness. ![]()
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