An empirical analysis of the determinants of the Rural Development policy spending for Human Capital
The aim of the paper is twofold: to present a preliminary analysis of the distribution of the Rural Development (RD) expenditure for specific measures related to human capital across EU and to investigate which factors may explain the variation of intensity of spending between the regions. In particular, a descriptive analysis of the budget and of the expenditure for EU 27 will be presented. A linear regression model (OLS) is also presented in order to verify which factors weigh more in determining the spending decisions for the European regions. The analysis is carried out taking into account the EAFRD expenditures for the measures related to human capital for the period 2007-2008 at NUTS2 level.
|Date of creation:||10 Feb 2011|
|Contact details of provider:|| Web page: http://www.eaae.org|
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ags:eaa122:100280. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.