Inclusive, Cross-Sectoral and Evidence-Based Decision-Making for Resilience Planning and Decision-Making in a Devolved Context

Successfully achieving the sustainable development goals requires addressing complex, interrelated, wicked problems across multiple scales and contexts and decision-making that tackles nested layers of goals and targets across the interrelated social, economic and environmental dimensions of sustainability. The Stakeholder Approach to Risk-informed and Evidence-based Decision-making (SHARED) bridges processes, tools and accessible evidence to support inter-sectoral and multi-stakeholder decision-making and implementation aimed at achieving resilience aspirations and associated investments. Adaptive collaborative management and multiple-loop learning serve as a basis for the systematic approach to institutional learning that supports shifts in underlying institutional understanding and values leading to actionable organisational change. This paper describes a contextual application of tailored technical assistance and institutional support to the Turkana County Government in Kenya, a newly devolved governance structure, under conditions of complexity. The SHARED Turkana County decision case demonstrates how the approach responded to a policy aspiration, resulting in greater and more intentional use of evidence in planning and budget allocations, cross-sectoral and multi-stakeholder partnerships, inclusive and transformative projects and a consultative and evidence-based five-year County Integrated Development Plan.


Download :
English



Authors

Neely C L,Bourne M, Chesterman S, Vågen T-G, Lekaram V, Winowiecki L A, Prabhu R

Publication year

2021

Resilient Landscapes is powered by CIFOR-ICRAF. Our mission is to connect private and public actors in co-beneficial landscapes; provide evidence-based business cases for nature-based solutions and green economy investments; leverage and de-risk performance-driven investments with combined financial, social and environmental returns.

2024 All rights reserved    Privacy notice