A theoretical framework for data-economising appraisal procedures with applications to rural development planning
The paper's objective is to construct a general framework which will increase the useful data, while reducing the cost of data collection in developing countries. The search for useful principles proceeds from the economics of information, via Karl Popper's principle of error reduction, and the use of information cybernetics in public decision-making, to the design of more cost-effective models of development processes, and the significance of alternative hierarchical administrative structures for the utility obtained from primary data.