Chris Scott

Can information and communications technology applications contribute to poverty reduction? Lessons from rural India

Information and Communications Technology (ICT) can reduce poverty by improving poor peoples access to education, health, government and financial services. ICT can also help small farmers and artisans by connecting them to markets. It is clear that in rural India -as well as in much of the developing world- realization of this potential is not guaranteed. This paper outlines a simple model to explain why a digital divide may exist between rich and poor. Low-cost access to information infrastructure is a necessary prerequisite for the successful use of ICT by the poor, but it is not sufficient. The implementation of ICT projects needs to be performed by organizations and individuals who have the appropriate incentives to work with marginalized groups. Furthermore, grassroots intermediaries and the involvement of the community are identified as the key factors that foster local ownership and the availability of content and services that respond to the most pressing needs of the poor.

Soft Budgets and Hard Rents: A Note

This note shows how Kornais concept of the soft budget constraint can be decomposed into separate elements of technical inefficiency and relative price distortion. The distinction between r-budget softness and m-budget softness introduced by Gomulka is shown to correspond to the equivalent and compensating variation measures of efficiency loss. It is also argued that budget softness should be viewed as the outcome of a rent-seeking process in which a firms action in the control sphere incurs an opportunity cost in the real sphere. Adopting such a perspective leads to a re-definition of the resource loss associated with budget softness and results in much higher estimates of the social costs of soft budgets than those proposed in the existing literature.