The Political Economy of Project Preparation: An Empirical Analysis of World Bank Projects
Christopher Kilby
No 14, Villanova School of Business Department of Economics and Statistics Working Paper Series from Villanova School of Business Department of Economics and Statistics
Abstract:
In the last few years, numerous econometric studies have unearthed evidence of donor influence over the geographic distribution of funds from international financial institutions (IFIs). Scholars are now beginning to use quantitative methods to delve into the details of donor influence to understand better how IFIs function and to guide institutional reform. The evidence suggests that donors influence both the amount of funds committed (the number and size of loans) and the disbursement of committed funds. This paper advances the literature by applying stochastic frontier analysis to a novel data source to examine factors that affect how quickly World Bank projects proceed from identification to approval, i.e., how long it takes to prepare a project. Accelerated preparation is one explanation for how the World Bank might increase the number of loans to a recipient member country within a fixed time frame, for example in response to that country siding with powerful donor countries on important UN votes or while that country occupies an elected seat on the UN Security Council or the World Bank Executive Board.
Keywords: Donor Influence; Project Preparation; Stochastic Frontier Analysis; United States; UN voting; World Bank (search for similar items in EconPapers)
JEL-codes: F35 F53 F55 O19 (search for similar items in EconPapers)
Date: 2011-07
New Economics Papers: this item is included in nep-cdm, nep-eff, nep-pol and nep-ppm
References: Add references at CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://repec.library.villanova.edu/workingpapers/VSBEcon14.pdf (application/pdf)
Related works:
Journal Article: The political economy of project preparation: An empirical analysis of World Bank projects (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vil:papers:14
Access Statistics for this paper
More papers in Villanova School of Business Department of Economics and Statistics Working Paper Series from Villanova School of Business Department of Economics and Statistics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher Kilby ().