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Deciding how to configure relationships with the global economy is a difficult task for policymakers, given the many choices and pressures. The essence of different policy regimes can be brought out by distinguishing between low and high support for industry on the one hand, and between low and high challenge levels on the other. A framework which uses information on marketing and technology gaps to identify ways forward will provide an effective but less complex basis for selecting policy options. Most developing countries have undergone a process of trade liberalisation. The choice is not whether they should integrate into the global economy, but how they should manage the process and help domestic industry compete. Unsurprisingly, there are many viewpoints and interests involved in the debate. A paper in Development Policy Review suggests a way of framing discussions on what kind of industrial policies should be adopted. Industrial policy can either challenge or support entrepreneurs. Enterprises can be supported by giving them access to resources or by protecting them from foreign competition, as in many developing countries from the 1950s onwards. Enterprises are challenged when they have to meet targets to qualify for resources, or by exposure to foreign competition. The Washington Consensus from the 1980s onwards prioritised challenge and neglected support. Finding the right combination is the key to effective policy. The classification of policies by the level of support and challenge provided helps policymakers visualise historical trends and predict what might be appropriate in a particular context. Governments are increasingly interested in strategies that combine challenge and support. But what form this combination should take depends on whether local enterprises face marketing gaps or technology gaps in trying to enter global markets:
Considering the challenge/support provided and the marketing/technology gaps involved allows for a framing of discussions between policymakers, entrepreneurs, advisers and researchers. While such a framework aims to reduce complexity, the author warns against over-simplification:
The framework provides a starting position for identifying the most promising options for the present. Source(s): id21 Research Highlight: 08 June 2008
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