@article{Marconi:149913,
      recid = {149913},
      author = {Marconi, Valentina and Raggi, M. and Viaggi, D.},
      title = {A spatial econometric approach to assess the impact of  RDPs agri-environmental measures on the use of Nitrogen in  agriculture: the case study of Emilia-Romagna (Italy)},
      address = {2013-06},
      number = {1052-2016-85930},
      pages = {20},
      year = {2013},
      abstract = {Agriculture is the main source of nitrogen loading (EEA,  2012) and is the sector with the largest remaining emission  reduction potential (Sutton et al., 2011). Furthermore,  surpluses of nitrogen are forecast to grow in the next  decade (FAO, 2008). The objective of this study is to  evaluate the determinants of the use of nitrogen inputs in  agriculture, and the effects of RDP implementation in  Emilia-Romagna on preventing nitrate pollution through a  spatial econometric regression model.
Firstly, we carried  out an estimation of both inorganic and organic nitrogen  input in agriculture at the municipality scale for year  2000 and 2010..Secondly, we performed a Moran’s statistics  and a LISA (Local Indicators of Spatial Association;  Anselin, 1995) analysis in order test the data for local  spatial autocorrelation. Finally, in order to provide a  quantitative evaluation of the application of the  agri-environmental measures on the impact of farming  systems on water quality, we constructed two spatial  regression models: INORGANIC AND ORGANIC. Spatial  dependence was included to the regressions (OLS) through  spatial lag and spatial error.
The INORGANIC model explains  more than 70% of the dependent variable and suggest that  participation to the measure 214 is not likely to be  important for explaining the reduction of the Inorganic  Nitrogen in the municipalities of Emilia Romagna.  Significant variables are farm’s size, population density,  location in NVZs and share of certified organic surface on  the UAA. The same regressors could not explain the  dependent variable in the case of the ORGANIC model.
The  availability of better estimation of changes in nitrogen  inputs, such as the calculation at the farm scale, would be  an important component to allow for a more robust use of  spatial econometrics in RDP evaluation related to Nitrogen  reduction.},
      url = {http://ageconsearch.umn.edu/record/149913},
      doi = {https://doi.org/10.22004/ag.econ.149913},
}