This Economic and Sector Work paper, “Enhancing Agricultural Innovation: How to Go Beyond the Strengthening of Research Systems,” was initiated as a result of the international workshop, “Development of Research Systems to Support the Changing Agricultural Sector,” organized by the Agriculture and Rural Development Department of the World Bank in June 2004 in Washington, DC.

This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.

Communities supported by World Bank rural development projects often cite support for the development of income-generating activities (IGAs) as a critical need. This note identifies some of the core problems encountered by Bank task teams that attempt to respond to this need, outlines the issues involved, and offers suggestions on some of the points that should be kept in mind when designing grant programs for this purpose.

The provision of basic market information is a service that aims to increase the efficiency of agricultural markets and contribute towards overcoming basic issues of market failure based on asymmetrical access to information. However, debate on the need for long-term support to a market information system (MIS) continues. A quantitative and qualitative survey was undertaken to provide a measure of accessibility, usefulness and utility of the current MIS, and to access how this type of service may be financed and improved in the future. 

Innovations generally arise out of a network of actors and relationships and network structure determines how effective networks are at fostering innovation. This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. The prototype method used is based on social network analysis methodology. This paper concludes with a final section to identify lessons learnt and makes recommendations for future research.

The IPMS project proposes to ‘contribute to improved agricultural productivity and production through market-oriented agricultural development, as a means for achieving improved and sustainable livelihoods for the rural population’ in Ethiopia. To accomplish this goal the project supports development and (action) research on innovative technologies, processes and institutional arrangements in three focus areas i.e.