Complying with greening practices in the new CAP direct payments: An application on Italian specialized arable farms

Land Use Policy

Volumn 61, Issue , 2017, Pages 265-275

  Cortignani, Raffaele ^a   Severini, Simone ^a   Dono, Gabriele ^a  

^a UNIVERSITY OF TUSCIA   (Italy)

Author keywords

First pillar reform; Greening practices; Positive mathematical programming; Reduction of green payments and administrative sanctions

Indexed keywords

ARABLE LAND; COMMON AGRICULTURAL POLICY; COMPLIANCE; LAND USE; NUMERICAL MODEL; POLICY REFORM;

ITALY;

EID: 85000885428     PISSN: 02648377     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landusepol.2016.11.026     Document Type: Article

References (30)

1. Ahmadi, Vosough B., Shrestha, S., Thomson, S.G., Barnes, A.P., Stott, A.W., Impacts of greening measures and flat rate regional payments of the Common Agricultural Policy on Scottish beef and sheep farms. J. Agric. Sci. 153:4 (2015), 676–688.
2. Allen, B., Buckwell, A., Baldock, D., Menadue, H., Maximising Environmental Benefits through Ecological Focus Areas (IEEP report, 2012).
3. Arfini, F., Paris, Q., A positive mathematical programming model for regional analysis of agricultural policies. The Regional Dimension in Agricultural Economics and Policies, EAAE, Proceedings of the 40th Seminar, Ancona (Italy), June 26–28, 1995.
4. Britz, W., van Ittersum, M., Lansink, A.O., Heckelei, T., Tools for integrated assessment in agriculture State of the Art and Challenges. Bio-Based Appl. Econ. 1:2 (2012), 125–150.
5. Buysse, J., Van Huylenbroeck, G., Lauwers, L., Normative positive and econometric mathematical programming as tools for incorporation of multifunctionality in agricultural policy modelling. Agric. Ecosyst. Environ. 120:1 (2007), 70–81.
6. Chiron, F., Princé, K., Paracchini, M.L., Bulgheroni, C., Jiguet, F., Forecasting the potential impacts of CAP-associated land use changes on farmland birds at the national level. Agric. Ecosyst. Environ. 176 (2013), 17–23.
7. Ciliberti, S., Frascarelli, A., A critical assessment of the implementation of CAP 2014–2020 direct payments in Italy. Bio-Based Appl. Econ. 4:3 (2015), 261–277.
8. Cimino, O., Henke, R., Vanni, R., The effects of CAP greening on specialised arable farms in Italy. New Medit. 14:2 (2015), 22–31.
9. Cortignani, R., Dono, G., Simulation of the impact of greening measures in an agricultural area of the southern Italy. Land Use Policy 48 (2015), 525–533.
10. Cortignani, R., Severini, S., A constrained optimization model based on generalized maximum entropy to assess the impact of reforming agricultural policy on the sustainability of irrigated areas. Agric. Econ. 43:6 (2012), 621–633.
11. Hart, K., 2015. Green direct payments: implementation choices of nine Member States and their environmental implications, Institute for European Environmental Policy, September 2015.
12. Heckelei, T., Wolff, H., Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy. Eur. Rev. Agric. Econ. 30:1 (2003), 27–50.
13. Heckelei, T., Britz, W., Zhang, Y., Positive mathematical programming approaches – recent developments in literature and applied modelling. Bio-Based Appl. Econ. 1:1 (2012), 109–124.
14. Howitt, R.E., Positive mathematical programming. Am. J. Agric. Econ. 77:2 (1995), 329–342.
15. Ittersum, M.K., van Ewert, F., Heckelei, T., Wery, J., Olsson, J.A., Andersen, E., Bezlepkina, I., Brouwer, F.M., Donatelli, M., Flichman, G., Olsson, L., Rizzoli, A.E., Wal, A.E., van der Wien, J.E., Wolf, J., Integrated assessment of agricultural systems – a component-based framework for the European Union (SEAMLESS). Agric. Syst. 96:1 (2008), 150–165.
16. Louhichi, K., Ciaian, P., Espinosa, M., Colen, L., Perni, A., Gomez, y Paloma, S., An EU-Wide Individual Farm Model for Common Agricultural Policy Analysis (IFM-CAP). First application to Crop Diversification Policy, (Report EUR 26910 EN, JRC92574 science and policy report, 2015).
17. MIPAAF, 2013. Statistiche agronomiche di superficie, resa e produzione, Bollettino Giugno 2013.
18. Matthews, A., Greening agricultural payments in the EU's common agricultural policy. Bio-Based Appl. Econ. 2:1 (2013), 1–27.
19. Paris, Q., Howitt, R., An analysis of ill-posed production problems using maximum entropy. Am. J. Agric. Econ. 80:1 (1998), 124–138.
20. Pelikan, J., Britz, W., Hertel, T.W., Green light for green agricultural policies? an analysis at regional and global scales. J. Agric. Econ. 66:1 (2014), 1–19.
21. Pupo D'Andrea, M.R., Le scelte italiane di applicazione del primo pilastro della PAC 2014–2020. Agriregionieuropa 38 (2014), 1–6.
22. Schulz, N., Breustedt, G., Latacz-Lohmann, U., ‘Assessing farmers’ willingness to accept greening: insights from a discrete choice experiment in Germany. J. Agric. Econ. 65:1 (2014), 26–48.
23. Shannon, C.E., A mathematical theory of communication. Bell Syst. Tech. J., 27, 1948 pp. 379–423 and 623–656.
24. Solazzo, R., Pierangeli, F., How does greening affect farm behaviour? Trade-off between commitments and santionc in the Northern Italy. Agric. Syst. 149 (2016), 88–98.
25. Solazzo, R., Donati, M., Arfini, F., Cap towards 2020 and the cost of political choices: the case of Emilia-romagna region. Land Use Policy 48 (2015), 575–587.
26. Vankova, K., van der Greft, A., Workshop on Calculation of payments, reductions and administrative penalties. Results: case studies (European Commission, Ref. Ares 3346656, 2015).
27. Villanueva, A.J., Gómez-Limón, J.A., Arriaza, M., Rodríguez-Entrena, M., The design of agri-environmental schemes: farmers’ preferences in southern Spain. Land Use Policy 46 (2015), 142–154.
28. Wąs, A., Majewski, E., Czekaj, S., Impacts of CAP greening on Polish farms. Paper Prepared for Presentation at the EAAE 2014 Congress Agri-Food and Rural Innovations for Healthier Societies, Ljubljana, Slovenia, August 26–29, 2014.
29. Westhoek, H., Van Zeijts, H., Witmer, M., Van den Berg, M., Overmars, K., Van der Esch, S., Van der Bilt, W., Greening the CAP. An analysis of the effects of the European Commission's proposals for the Common Agricultural Policy 2014–2020 (PBL Netherlands Environmental Assessment Agency, 2012).
30. de Frahan, B.H., Buysse, J., Polomé, P., Fernagut, B., Harmignie, O., Lauwers, L., Van Huylenbroeck, G., Van Meensel, J., Positive mathematical programming for agricultural and environmental policy analysis: review and practice. Int. Ser. Oper. Res. Manag. Sci. 99 (2016), 129–154.