In this paper we provide a detailed description of the methodological steps involved in conducting a Service Design study in combination with Discrete Choice Experiments (DCEs). It complements the conceptual and epistemological argument developed for this methodological combination in Osborne et al. (2021, World Development, in review WD-19535). Service Design for the co-creative development of policy interventions in complex adaptive systems involves an iterative process of moving between the six methodological stages of (1) problem co-definition, (2) actor-centred mapping, (3) experience-based problem diagnosis, (4) rapid prototyping, (5) design and testing and (6) upscaling. We suggest using DCEs as a quantitative method that is contextually adaptable and comparatively fast and cheap to implement, as part of stage (6) design and testing. Whilst both methods can operate independently with their own strengths and limitations, we find their combination to add value to the processes and outcomes of each. We illustrate the general methodological approach with a step-by-step description of its application to Weather Index Insurance in eastern Uganda.
Bullet points:
• Service Design co-creatively develops well-targeted solutions in complex adaptive systems.
• Discrete Choice Experiments quantitatively elicit actors’ preferences over the design of goods or services.
• Their combination can bring deeply contextualised, user-centred, operational and experimentally verified ideas for development interventions prior to their implementation.
‘Good governance’ is highlighted by many as being essential for improving protected area (PA) management and conservation outcomes, with a growing body of evidence based on site-level governance data. Yet how exactly governance at other levels supports or hinders successful PA implementation, and how this should be considered in conservation planning and practice, remains insufficiently understood. We conducted an exploratory analysis of the relationship between the quality of country-level governance and trends in tree cover loss within sub-Saharan African PAs. For the period 2008–2017, we correlated annual governance scores from the Ibrahim Index of African Governance (IIAG) with the annual rate of tree cover loss in the total terrestrial area of PAs in 33 forested sub-Saharan African countries. Overall governance was not correlated with tree cover loss in a simple model, but there was evidence that overall governance was positively correlated with tree cover loss in PAs when the interaction with environmental governance was included. The interaction indicated that the rate of tree cover loss decreased for a given level of overall governance as environmental governance increased. Human development was negatively correlated with forest loss. Thus, the relationship between country-level ‘good governance’ and conservation success is more complex than a direct and positive cause and effect. Yet, uncertainty remains about the many possible and likely confounding pathways: whilst the quality of overall governance may be mirrored at the site-level, it may also contribute to increased anthropogenic pressures on natural resources. Through this research we found significant limitations in data quality and availability both to evaluate the effectiveness of protection beyond tree cover, as well as less conventional governance aspects, such as environmental policy and regulation or site-level governance. With an expected increase in area-based protection and conservation financing in the coming decades, such data will be vital to monitor the effectiveness of our efforts and ensure financial accountability.
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