TERRITORIAL DISTRIBUTION OF THE RURAL DEVELOPMENT SUPPORTS FOR

Supports for the rural micro-enterprises played a significant role in the EU rural development policy in the 2007 - 2013 programming period. Among the rural development measures proposed by the EU, the measure 312 focused especially on the rural micro-enterprises, and it was included in the Nation...

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Bibliographic Details
Main Author: BALLA EMESE
Format: Article
Language:English
Published: Academica Brâncuşi 2015-08-01
Series:Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
Subjects:
Online Access:http://www.utgjiu.ro/revista/ec/pdf/2015-04/06_Balla%20Emese.pdf
Description
Summary:Supports for the rural micro-enterprises played a significant role in the EU rural development policy in the 2007 - 2013 programming period. Among the rural development measures proposed by the EU, the measure 312 focused especially on the rural micro-enterprises, and it was included in the National Rural Development Programme 2007 – 2013 of Romania. Recent data show, that only less than half of the projects submitted was selected for financing and contracts concluded cover only about 70 % of the total value of these projects. The aim of this study is to analyze the territorial distribution of the supports provided under the measure 312 in Romania. The source of data is the selection reports published on the website of the Rural Investment Funding Agency. Firstly, a county level analysis is carried out, in order to see which counties of the country were able to obtain more financing. In the second step, the results of a settlement-level analysis are presented. We created a map which shows by communes the value of the total supports obtained by the micro-enterprises under the measure 312. As the results show, high discrepancies exist between the counties and settlements regarding the value of the supports. Analyses refering to the disparities in the distribution confirm this observation. Finally, a correlation analysis is carried out based on settlement data, and it proves that the total value of the supports obtained under the measure 312 positively correlates with the population, surface and development level of the communes.
ISSN:1844-7007
1844-7007