Project: |
ADVANCED-EVAL |
Contact: |
Nana Zarnekow |
Start: |
08/2007 |
End: |
2011 |
Finance: |
EU-Projekt ADVANCED-EVAL |
Content: |
The derivation of ex-post and ex-ante
evaluation tools that combine innovative econometric methods, i.e.
propensity score matching, double difference methodology and generalized
matching approaches. Comparison of different approaches measuring
quality of life and deduction of a quality of life index, recognizing
features of rural regions. Furthermore, the relation between migration
behavior and the regional quality of life is investigated. A Rural
Development Index (RDI) is developed and estimated which allows
assessment of an overall impact of RD programmes at the regional level
(ex-ante and ex-post applications). |
Region: |
Poland and Slovakia |
Publications: |
-
Christian H. C. A. Henning and Nana Zarnekow: Applied Generalized Matching for Ex-ante Evaluation of RD-Policies: A Critical Assessment.
-
Jerzy Michalek and Nana Zarnekow: Construction and Application of the Rural Development Index to Analysis of Rural Regions in Poland and Slovakia.
ADVANCED-EVAL Working Paper WP3-4, Institute of Agricultural Economics, University of Kiel, Germany 2009
-
Jerzy Michalek and Nana Zarnekow: Empirical Measurement of Quality of Life in Rural Areas in Slovakia Using the RDI.
ADVANCED-EVAL Working Paper Series Regional Report RR3-1 [D 4a],
Institute of Agricultural Economics, University of Kiel, Germany 2008
-
Jerzy Michalek and Nana Zarnekow and Zdeno Stulrajter and Leszek Klank: Cartographic and Statistical Analysis of RDI in Poland and Slovakia.
ADVANCED-EVAL Working Paper Series Regional Report RR3-2 [D 11],
Institute of Agricultural Economics, University of Kiel, Germany 2008
|
Keywords: |
Rural Development, Ex-Ante and Ex-Post Evaluation, Matching, Quality of Life |
Approach: |
Area of research are �applied and agricultural
economics�; different matching techniques are applied for ex-ante and
ex-post evaluation of rural development programmes. Spatial econometric
techniques serve to investigate the relation of migration behavior and
regional quality of life; furthermore, the data envelopment analysis is
used to receive technical efficiency values which result in a quality of
life measure. |
Data acquisition: |
Census-Data |