THE EFFICIENCY FORECAST OF RURAL HUMAN RESOURCES USE BY THE DATA ENVELOPMENT ANALYSIS APPROACH

Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 14 ISSUE 4
Written by Dorel MIHAI, Ion DONA

The structure of rural human resources (from agriculture, industry, constructions) represents the most important production factor in order to achieve economic growth (high GDP). In terms of efficiency, it is more important to assess the way in which the combination of human resources between these three branches contributes to GDP formation. To do this assessment for the period 2013-20120, we applied the nonparametric method of DEA (Data Envelopment Analysis). This method enables ranking regions based on a series of inputs (rural population occupied in agriculture, industry and constructions) and outputs (rural gross domestic product). The data regarding the rural human resources are retrieved from the Amigo data base, the rural GDP Eurostat and the analysis was performed by MAXDATA 6.3 Beta program. The results revealed that, by 2020, if maintaining the 2006-2013 trends, the average technical efficiency will decrease by 5.4%, only the Central and the South-West regions will be performing well and the North-East and North-West regions will become more inefficient. Our results reveal that, in the majority of regions, there is a clear need to reduce the population from agriculture, to increase the population from industry and constructions, and to increase de productivity, to ensure real economic growth.

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Dorel MIHAI, Ion DONA 2014, THE EFFICIENCY FORECAST OF RURAL HUMAN RESOURCES USE BY THE DATA ENVELOPMENT ANALYSIS APPROACH. Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 14 ISSUE 4, PRINT ISSN 2284-7995, 165-168.


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Copyright 2012. To be cited: Scientific Papers. Series “Management, Economic Engineering in Agriculture and Rural Development“
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