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Commission
of the UE
Genedec
project
(FP6-502184)
Rural Development Policy:
Possible Impact on Agricultural
Productivity in Old and New
Member States
Elisa Montresor
Univeristy of Verona – Italy
Francesco Pecci
University of Verona - Italy
Maria Sassi
University of Pavia - Italy
Importance of the analysis
1. Importance of
the analysis
Fostering and enabling
policy and institutional
environment
Encouraging non-farm
growth activity
Encouraging agricultural
productivity and
competitiveness
Rural
Development Policy
(2007-13)
Strategic priorities
Encouraging sustainable
management of natural
resources
Improving social
well-being, gender
equity, managing risk,
reducing vulnerability
Importance of the analysis
1. Importance of
the analysis
The analysis of the
territorial systems
Relationship between
local agricultural systems and
local socio-economic systems
Policy making
process
Impact of policy sensitive
socio-economic and environmental
variables on agriculture productivity
The Rural
Development Policy,
Modulation and
Cross-compliance
Importance for the old and
new Member States
1. Importance of
the analysis
2. Object of the
analysis
Agricultural territorial
systems within
homogeneous
socio-economic systems
Impact of policy
sensitive socio-economic
environmental variables on
agriculture productivity
The
CAP of
regionalization?
Object
the analysis
Spatial stationary and
non-stationary
parameters
Groups of homogeneous
regions
Data processing chain
1. Importance of
the analysis
2. Object of the
analysis
5. Initial data
set
4. Adjustment
and integration
1. Initial data
set
3. Data
processing
chain
6. AIC +
multicollinearity
8a. Spatial
Stationary
parameters
7. Indicators
for mixed
GWRs
8b. Spatial
Non-stationary
parameters
9.Kohonen SOM
classification
2. PCA
3. Local agricultural
and socio-economic
systems
10. Regionalization
results
1. Importance of
the analysis
Indicators: analytical
framework
2. Object of the
analysis
Environmental, food
safety and animal
welfare standards
3. Data
processing
chain
4. Indicators:
analytical
framework
- Competitiveness
- Environment
andConsumers
Rural
development
Country side Taxpayers
- Quality of life and
Diversification of
Decoupling
Rural areas
Modulation
Cross-compliance and
good practices
Farmers:
- Competitiveness
free to produce what
- Multifunctionality
the market needs
- Sustainability
Single farm
payments
Indicators
1. Importance of
the analysis
205 regions EU-25
2. Object of the
analysis
3. Data
processing
chain
Demographic
features
Innovation and
diversification
4. Indicators
Agricultural
productivity
Socio-economic
context
Environmental
sustainability
Efficiency and
competitiveness
Results: Spatial Non-stationary
Parameters
1. Importance of
the analysis
2. Object of the
analysis
3. Data
processing
chain
1. The variables affecting only locally the agricultural
productivity are not only agricultural but also
socio-economic and environmental variables
4. Indicators
5. Results: Nonstationary
parameters
Farmers age structure
Agricultural environmental
sustainability
Overall Economic
development
Overall and rural labour
market
Infrastructure
Demographic features
1. Importance of
the analysis
2. Object of the
analysis
Results: Cluster analysis
EU-25
Cluster 5 (11) – Economic
development, demographic
structure, social infrastructure,
rural labour market
3. Data
processing
Cluster
chain
3 (58) – Farmer
age structure
4. Indicators
Cluster
6 (21) – Part-time
5. Results:
Nonlabour and farmers age
stationary
parameters structure
5.1. Results:
Cluster
8 (21) – Economic
Cluster
analysis
EU-25
development, labour
market, agricultural
environmental
sustainability
Cluster 7 (44) – Labour
market
Cluster 2 (20) –
economic development,
demographic structure,
infrastructure, rural
labour market and
agricultural
environmental
sustainability
Cluster 4 (18) –
Infrastructures, rural
labour market and
agricultural
environmental
sustainability
Cluster 1 (14) – Labour
market and
infrastructure
1. Importance of
the analysis
2. Object of the
analysis
3. Data
processing
chain
Conclusions
1. Importance of
the analysis
2. Object of the
analysis
3. Data
processing
chain
Relationship between local
agricultural systems and
local socio-economic systems
4. Indicators
5. Results: Nonstationary
parameters
Spatial coherence among
groups of regions sharing
5.1. Results:
Cluster analysis
geographic borders and sometime
EU-25
coincident with the reference
State borders
6. Conclusions
Variables affecting
locally the agricultural
productivity are not only
agricultural but also
socio-economic and
environmental
Great diversity between
clusters in terms of profile