The Allocation of Capital in Rural Credit Markets
Understanding how capital flows within rural communities in sub-Saharan Africa can provide important insights on the nature of poverty and the effectiveness of financial intermediation interventions. In this paper, we use unique individual level savings and borrowing data to study the flow of funds within a sample of 104 Ugandan savings groups. We show that poor households borrow from wealthier households, which implies that the marginal benefit of money is decreasing in wealth. The result suggests that savings groups are effective at channeling funds to their poorest members.
This paper is about location decisions of Creative Industries and the role played by existent spatial distribution and agglomeration economies of these kinds of activities in order to analyse their location determinants. Our main statistical source is the REIC (Catalan Manufacturing Establishments Register), which has plant-level microdata on location of new plants. Using Count Data Models, our main results show that location determinants are quite similar between both industries and also both non-creative and creative firms are positively influenced by the specialisation level in Creative Industries of municipalities. Moreover, our results provide evidence that the unobserved â€˜creative milieuâ€™ has a limited impact on attracting firms. Keywords: creative industries, creative milieu, count data models, industrial location, agglomeration economies