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Sundaram-Stukel, Reka; Deininger, Klaus W.; Jin, Songqing. |
We use a survey of small rural enterprises from Tanzania to demonstrate quantitatively the economic importance of this sector and to identify participants' characteristics and obstacles to the sector's expansion and productivity. In stark contrast to most of the findings for the formal sector where taxation and other regulatory constraints were identified as key constraints in most of the countries, infrastructure constraints (but not regulatory obstacles) pose a formidable barrier to rural households' participation in rural non-farm and to investment and increased productivity by existing ones. The fact that such constraints emerge as particularly harmful for small enterprises suggests that policies to improve delivery of the public services in question... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Community/Rural/Urban Development. |
Ano: 2006 |
URL: http://purl.umn.edu/21165 |
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Sundaram-Stukel, Reka; Barham, Bradford L.. |
This paper examines the role of two types of reputation - borrower credit history and productivity - in disequilibrium supply and demand models of loan size dynamics in formal and informal credit markets. Using panel data on Honduran households, full- and partial-information regime switching econometric models yield four principal findings: (1) credit contracts in the formal sector are largely collateral driven and not reputation driven; (2) the informal sector credit contracts are borrower reputation based; (3) the informal sector utilizes positive/negative credit histories in both markets to credibly reward/punish borrowers; and (4) technical efficiency has a positive impact in determining loan size in both sectors on the demand and supply side of the... |
Tipo: Working or Discussion Paper |
Palavras-chave: Research Methods/ Statistical Methods. |
Ano: 2007 |
URL: http://purl.umn.edu/92196 |
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Sundaram-Stukel, Reka. |
In this paper I analyze mobility in rural credit markets. A panel data set of rural Honduran households is used to study credit market transitions; specifically, the dynamic evolution of formal and informal sector participation. Mobility patterns among four different credit market states are analyzed, namely those who have formal sector participation, informal sector participation, participation in both sectors and nonparticipation in rural credit markets. I use a random effects dynamic multinomial logit model which can accommodate unobserved heterogeneity. The main findings are that state dependence plays a significant role in ones ability to borrow. |
Tipo: Conference Paper or Presentation |
Palavras-chave: Agribusiness. |
Ano: 2003 |
URL: http://purl.umn.edu/22081 |
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