Person:

Woolcock, Michael

Many reform initiatives in developing countries fail to achieve sustained improvements in performance because they are merely isomorphic mimicry—that is, governments and organizations pretend to reform by changing what policies or organizations look like rather than what they actually do. In addition, the flow of development resources and legitimacy without demonstrated improvements in performance undermines the impetus for effective action to build state capability or improve performance. This dynamic facilitates “capability traps” in which state capability stagnates, or even deteriorates, over long periods of time even though governments remain engaged in developmental rhetoric and continue to receive development resources. How can countries escape capability traps? We propose an approach, Problem-Driven Iterative Adaptation (PDIA), based on four core principles, each of which stands in sharp contrast with the standard approaches. First, PDIA focuses on solving locally nominated and defined problems in performance (as opposed to transplanting preconceived and packaged “best practice” solutions). Second, it seeks to create an authorizing environment for decision-making that encourages positive deviance and experimentation (as opposed to designing projects and programs and then requiring agents to implement them exactly as designed). Third, it embeds this experimentation in tight feedback loops that facilitate rapid experiential learning (as opposed to enduring long lag times in learning from ex post “evaluation”). Fourth, it actively engages broad sets of agents to ensure that reforms are viable, legitimate, relevant, and supportable (as opposed to a narrow set of external experts promoting the top-down diffusion of innovation).

Efforts to build state capability often take the form of commonly used, highly designed and engineered best practice solutions that have worked in many other places and that we suspect (and hope) will work again in many contexts. Such interventions do sometimes work, especially when the treatment actually addresses problems that fester in the context. Where the contextual problems are different, however, the treatment is just isomorphic mimicry—it looks good but will not be a solution to problems that actually matter. Development organizations often cannot see this, however, and offer the same solution again and again—hoping for a different outcome but imposing a capability trap on the policy context, where a new diagnosis and prescription is actually needed. In some countries the treatment has an even worse impact, fostering premature load bearing—where the context cannot actually handle what is prescribed. How can development experts identify in advance where they will have such negative impacts, and how can they identify in advance where they need to do development differently? This paper addresses such questions, and introduces an approach to building state capability in the latter contexts (called 1804 contexts), called problem driven iterative adaptation.

Many development challenges are complex, involving a lot of different agents and with unknown dimensions. Solutions to these challenges are often unknown, and contextually dependent. At the same time, there are political imperatives at play in many contexts which create pressure to 'find the solution now…and then scale it up.' Such pressure raises a question: how does a policy entrepreneur or reformer find a new solution and scale it up when dealing with complexity? This is the subject we address in the current paper, which is the fifth in a series on 'how to' do problem driven iterative adaptation (PDIA) (Andrews et al. 2015, 2016a, 2016b, 2016c).

The paper focuses on building broad agency solutions in the process of identifying problems and finding and fitting contextually appropriate solutions. The broad agency is, in our opinion, a most effective mechanism to ensure scaling and dynamic sustainability in the change process. As with other working papers on this topic, the contents here do not offer all answers to those asking questions about how to do development effectively. It closes by reflecting on the importance of 'you' (the reader, and ostensibly part of a policy change or reform team somewhere) using this and the other ideas as heuristics to rethink and reorient how you work—but with your own signature on each idea.

Development and state building processes are about change. Change is, however, elusive in many contexts. In prior work, we have offered problem driven iterative adaptation (PDIA) as an approach to tackle wicked hard change challenges. This is our fourth practical working paper on ‘how’ to do PDIA. The working paper addresses questions about authority, given that authority is needed to make change happen—especially in hierarchical government settings. This authority is often difficult to attain, however. It is seldom located in one office of person, and is often harder to lock-in with complex challenges, given that they commonly involve significant risk and uncertainty and require engagement by many agents responding to different kinds of authority. Every effort must be taken to address such challenges, and efforts should include an explicit strategy to establish an appropriate authorizing environment. This working paper suggests ideas to adopt in this strategy, with practical exercises and examples to help the reader apply such ideas in her or his own work.

Many of the challenges in international development are complex in nature. They involve many actors in uncertain contexts and with unclear solutions. Our work has proposed an approach to addressing such challenges, called Problem Driven Iterative Adaptation (PDIA). This paper is the most recent in a series intended to show how one can do PDIA, building on the first paper, "Doing Problem Driven Work." The current paper addresses a key part of the approach one moves to once a problem has been identified, performing real-time experimental iterations. This is intended as a practical paper that builds on experience and embeds exercises for readers who are actually involved in this kind of work.

In many nations today the state has little capability to carry out even basic functions like security, policing, regulation or core service delivery. Enhancing this capability, especially in fragile states, is a long-term task: countries like Haiti or Liberia will take many decades to reach even a moderate capability country like India, and millennia to reach the capability of Singapore. Short-term programmatic efforts to build administrative capability in these countries are thus unlikely to be able to demonstrate actual success, yet billions of dollars continue to be spent on such activities. What techniques enable states to "buy time" to enable reforms to work, to mask non-accomplishment, or to actively resist or deflect the internal and external pressures for improvement? How do donor and recipient countries manage to engage in the logics of "development" for so long and yet consistently acquire so little administrative capability? We document two such techniques: (a) systemic isomorphic mimicry, wherein the outward forms(appearances, structures) of functional states and organizations elsewhere are adopted to camouflage a persistent lack of function; and (b) premature load bearing, in which indigenous learning, the legitimacy of change and the support of key political constituencies are undercut by the routine placement of highly unrealistic expectations on fledging systems. We conclude with some suggestions for sabotaging these techniques.

We divide the 102 historically developing countries (HDCs) into those with ‘very weak’, ‘weak’, ‘middle’, and ‘strong’ state capability. Analyzing the levels and recent growth rates of the HDCs’ capability for policy implementation reveals how pervasively “stuck” most of them are. Only eight HDCs have attained strong capability, and since most of these are small (e.g., Singapore, UAE), less than 100 million (or 1.7%) of the roughly 5.8 billion people in HDCs currently live in high capability states. Almost half (49) of these countries have very weak or weak capability, and thus their long-run pace of acquiring capability is also very slow. Alarmingly, three quarters of these countries (36 of 49) have experienced negative growth in state capability in recent decades, while more than a third of all countries (36 of 102) have low and (in the medium run at least) deteriorating state capability. At current rates, the ‘time to high capability’ of the 49 currently weak capability states and the 36 with negative growth is obviously “forever”. But even for the 13 with positive growth, only three would reach strong capability by the end of the 21st century at their current medium run growth.

We often observe that more successful efforts to establish complex state capabilities are problem driven; focused relentlessly on solving a specific, attention-grabbing problem. This is the first principle of Problem Driven Iterative Adaptation, which we are introducing in pieces in a series of working papers over the coming months. The current working paper starts with a discussion about why problems matter as entry points to complex state capability building challenges. It then offers practical ideas and tools to help those trying to use problems to foster change (given the need to construct problems, deconstruct problems and then promote problem driven sequencing). The working paper should help readers who wonder why we emphasize problems as entry points and positive motivators of change (we don’t agree that problems demotivate or disempower) and how we work practically to define and tackle problems.

Many reform initiatives in developing countries fail to achieve sustained improvements in performance because they are merely isomorphic mimicry—that is, governments and organizations pretend to reform by changing what policies or organizations look like rather than what they actually do. The flow of development resources and legitimacy without demonstrated improvements in performance, however, undermines the impetus for effective action to build state capability or improve performance. This dynamic facilitates 'capability traps' in which state capability stagnates, or even deteriorates, over long periods of time despite governments remaining engaged in developmental rhetoric and continuing to receive development resources. How can countries escape capability traps? We propose an approach, Problem-Driven Iterative Adaptation (PDIA), based on four core principles, each of which stands in sharp contrast with the standard approaches. First, PDIA focuses on solving locally nominated and defined problems in performance (as opposed to transplanting pre-conceived and packaged "best practice" solutions). Second, it seeks to create an 'authorizing environment' for decision-making that encourages 'positive deviance' and experimentation (as opposed to designing projects and programs and then requiring agents to implement them exactly as designed). Third, it embeds this experimentation in tight feedback loops that facilitate rapid experiential learning (as opposed to enduring long lag times in learning from ex post "evaluation"). Fourth, it actively engages broad sets of agents to ensure that reforms are viable, legitimate, relevant and supportable (as opposed to a narrow set of external experts promoting the "top down" diffusion of innovation).