TY - JOUR
T1 - Drivers and indicators of the EU rural development expenditure mix across space: Do neighbourhoods matter?
AU - Camaioni, B.
AU - Coderoni, Silvia
AU - Esposti, R.
AU - Pagliacci, F.
PY - 2019
Y1 - 2019
N2 - This paper analyses the 2007–2013 Rural Development Programmes’ expenditure mix within the EU-27 space.
Its major novelty consists in using indicators and methods combining a high level of expenditure disaggregation
across both regions and measures to assess the drivers of the expenditure mix at a more local level. At the
adopted scale of analysis, the rurality degree of any region, the rurality of the neighbours and their respective
expenditure patterns are explicitly considered. Results suggest that more rural regions spend more funds as
expected, but their expenditure mix, and the share of agro-environmental payments in particular, also depends
on the characteristics of the neighbouring space, thus confirming the presence of spatial dependence in spending
patterns and the need of its explicit consideration in any ex-post expenditure assessment
AB - This paper analyses the 2007–2013 Rural Development Programmes’ expenditure mix within the EU-27 space.
Its major novelty consists in using indicators and methods combining a high level of expenditure disaggregation
across both regions and measures to assess the drivers of the expenditure mix at a more local level. At the
adopted scale of analysis, the rurality degree of any region, the rurality of the neighbours and their respective
expenditure patterns are explicitly considered. Results suggest that more rural regions spend more funds as
expected, but their expenditure mix, and the share of agro-environmental payments in particular, also depends
on the characteristics of the neighbouring space, thus confirming the presence of spatial dependence in spending
patterns and the need of its explicit consideration in any ex-post expenditure assessment
KW - Agro-environmental payments
KW - Dirichlet regression models
KW - Rurality indicators
KW - Spatial dependence
KW - Agro-environmental payments
KW - Dirichlet regression models
KW - Rurality indicators
KW - Spatial dependence
UR - http://hdl.handle.net/10807/153070
U2 - 10.1016/j.ecolind.2019.105505
DO - 10.1016/j.ecolind.2019.105505
M3 - Article
SN - 1470-160X
SP - 1
EP - 9
JO - Ecological Indicators
JF - Ecological Indicators
ER -