| Abstrakt: |
ABSTRACT Extreme events such as floods present major challenges for water governance in many parts of the world. Following two rounds of disastrous floods in 2010 and 2011, the need for a change in Pakistan's approach to dealing with floods has been highlighted in the literature. However, scant attention has been given to the nature of an alternative framework and the mechanism for driving a change towards it. This research aims to provide a better understanding of how Pakistan can cope with future flood challenges by examining the role of learning processes in facilitating a change towards an adaptive governance framework that is considered useful for dealing with complex issues in an uncertain environment. Key informant interviews and document analysis are used to examine characteristics of the current regime, analyse the influence of learning processes on flood governance dynamics, and identify barriers and bridges to change. Study findings show that state actors continue to dominate flood governance. However, the actor network in emergency flood management has broadened, with increasing participation by non-state actors. Single-loop learning, limited to routine improvements, is predominant among state actors in preventive management. A few state and non-state actors in emergency management exhibit double-loop learning reflected by their reframing of problems and incorporation of new information. However, in the absence of any triple-loop learning associated with a paradigm change, the overall impact of learning processes in facilitating a transition towards more adaptive approaches to flood governance has been limited. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment [ABSTRACT FROM AUTHOR] |
