An ex-ante impact assessment of the Common Agricultural Policy reform in the North-Western Romania M.I., Dumitras D.E., Simu V.A. (2015): An ex-ante impact assessment of the Common Agricultural Policy reform in the North-Western Romania. Agric. Econ. – Czech, 61: 88-103.
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The paper aims to assess the impact of the Common Agricultural Policy reform (post 2014) in the environmental vulnerable areas from Romania. It proposes a bio-economic dynamic farm model calibrated with the positive mathematical programming (PMP). The standard PMP approach was extended to simulate the mixed farming systems through the introduction of a livestock production activity in the first calibration step. It allows incorporating activities not available in the base year, but that can be performed by the farmers after the future policy reforms. The model provides supply-responses for both the crop and livestock farms according to the agricultural and financial policy shifts. It maximizes the farm net financial flows subject to the resource, livestock, financial and agricultural policy constraints. The initialisation data were obtained from a face-to-face stratified survey applied on the mixed-sheep farms that have used grassland areas under the Agri-Environment Schemes (AES) in the North-Western Romania (Transylvania). The results show that the most vulnerable group to the policy changes is represented by the small-size farms, to which the AES are very important economic drivers. Thus, the diversification and the off-farm employments possibilities should be integrated into the future rural development plans as a premise for their survival.  
Anderson K., Swinnen J.F.M. (2010): How distorted have agricultural incentives become in Europe’s transition economies? Eastern European Economics, 48: 79–109.
Arfini F., Brasili C., Fanfani R., Mazzocchi M., Montresor E., Paris Q. (2001): Tools for evaluating EU agricultural policies: An integrated approach. Statistical Methods & Applications, 10: 191–210.
Bartolini F., Bazzani G.M., Gallerani V., Raggi M., Viaggi D. (2007): The impact of water and agriculture policy scenarios on irrigated farming systems in Italy: An analysis based on farm level multi-attribute linear programming models. Agricultural Systems, 93, 90-114
Benoit M, Veysset P (2003): Conversion of cattle and sheep suckler farming to organic farming: adaptation of the farming system and its economic consequences. Livestock Production Science, 80, 141-152
Buysse J., Fernagut B., Harmignie O., de Frahan B. H., Lauwers L., Polome P., Van Huylenbroeck G., Van Meensel J. (2007): Farm-based modelling of the EU sugar reform: impact on Belgian sugar beet suppliers. European Review of Agricultural Economics, 34, 21-52
Chavas J.-P. (1994): Production and Investment Decisions Under Sunk Cost and Temporal Uncertainty. American Journal of Agricultural Economics, 76, 114-127
CREMENE CRISTINA, GROZA GHEORGHE, RAKOSY LASZLO, SCHILEYKO ANATOLI A., BAUR ANETTE, ERHARDT ANDREAS, BAUR BRUNO (2005): Alterations of Steppe-Like Grasslands in Eastern Europe: a Threat to Regional Biodiversity Hotspots. Conservation Biology, 19, 1606-1618
DAUGBJERG CARSTEN, SWINBANK ALAN (2007): The Politics of CAP Reform: Trade Negotiations, Institutional Settings and Blame Avoidance. JCMS: Journal of Common Market Studies, 45, 1-22
Davidova Sophia (2011): Semi-Subsistence Farming: An Elusive Concept Posing Thorny Policy Questions. Journal of Agricultural Economics, 62, 503-524
de Frahan B., Buysse J., Polomé P., Fernagut B., Harmignie O., Lauwers L., van Huylenbroeck G., van Meensel J. (2007): Positive mathematical programming for agricultural and environmental policy analysis: Review and practice. In: Weintraub A.; Bjorndal T., Epstein R., Romero C. (eds): Handbook of Operations Research in Natural Resources. International Series in Operations Research & Management Science, 99: 129–154.
Dogliotti S, Rossing W.A.H, van Ittersum M.K (2003): rotat, a tool for systematically generating crop rotations. European Journal of Agronomy, 19, 239-250
Dogliotti S., van Ittersum M.K., Rossing W.A.H. (2005): A method for exploring sustainable development options at farm scale: a case study for vegetable farms in South Uruguay. Agricultural Systems, 86, 29-51
Erjavec Emil, Chantreuil Frédéric, Hanrahan Kevin, Donnellan Trevor, Salputra Guna, Kožar Maja, van Leeuwen Myrna (2011): Policy assessment of an EU wide flat area CAP payments system. Economic Modelling, 28, 1550-1558
European Commission (2009a): Impact assessment guidelines. European Commission, Brussels.
European Commission, (2009b): Peak performance: New insights into mountain farming in the European Union. Directorate General for Agriculture and Rural Development, Brussels.
Greer A. (2005): Agricultural Policy in Europe. Manchester University Press, Manchester.
Hazell P.B., Norton R.D. (1986): Mathematical Programming for Economic Analysis in Agriculture. Macmillan, Germany.
Heckelei T. (): Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy. European Review of Agriculture Economics, 30, 27-50
Helming J.F.M. (2005): A model of Dutch Agriculture Based on Positive Mathematical Programming with Regional and Environmental Application. [PhD Theses.] Wageningen University, Wageningen.
Hjalager Anne-Mette (1996): Agricultural diversification into tourism. Tourism Management, 17, 103-111
Howitt Richard E. (1995): Positive Mathematical Programming. American Journal of Agricultural Economics, 77, 329-
Janssen Sander, van Ittersum Martin K. (2007): Assessing farm innovations and responses to policies: A review of bio-economic farm models. Agricultural Systems, 94, 622-636
Janssen Sander, Louhichi Kamel, Kanellopoulos Argyris, Zander Peter, Flichman Guillermo, Hengsdijk Huib, Meuter Eelco, Andersen Erling, Belhouchette Hatem, Blanco Maria, Borkowski Nina, Heckelei Thomas, Hecker Martin, Li Hongtao, Oude Lansink Alfons, Stokstad Grete, Thorne Peter, van Keulen Herman, van Ittersum Martin K. (2010): A Generic Bio-Economic Farm Model for Environmental and Economic Assessment of Agricultural Systems. Environmental Management, 46, 862-877
Janssen S., Oomen R., Hengsdijk H., van Ittersum M. (2009): Agricultural management module for FSSIM, Production enterprise generator, Production technique generator, Simple management translator and Technical coefficient generator. SEAMLESS Report no. 44, SEAMLESS integrated project. EU 6th Framework Programme, contract no. 010036-2. Available at
Jitea I.M. (2011): Appropriate methods for evaluating the agricultural policies consequences at the farm level. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 39: 126–123.
Jitea I.M., Merce C.. Dumitraș D.E. (2011): Developing an appropriate methodology for farm sampling in order to build a representative farm database for agricultural policy analysis purpose. The Romanian case. Bulletin USAMV. Horticulture, 68: 114–119.
Júdez L., de Miguel J.M., Mas J., Bru R. (2002): Modeling crop regional production using positive mathematical programming. Mathematical and Computer Modelling, 35, 77-86
Kanellopoulos Argyris, Berentsen Paul, Heckelei Thomas, Van Ittersum Martin, Lansink Alfons Oude (2010): Assessing the Forecasting Performance of a Generic Bio-Economic Farm Model Calibrated With Two Different PMP Variants. Journal of Agricultural Economics, 61, 274-294
Lízal Lubomír, Svejnar Jan (2002): Investment, Credit Rationing, and the Soft Budget Constraint: Evidence from Czech Panel Data. Review of Economics and Statistics, 84, 353-370
Louhichi Kamel, Kanellopoulos Argyris, Janssen Sander, Flichman Guillermo, Blanco Maria, Hengsdijk Huib, Heckelei Thomas, Berentsen Paul, Lansink Alfons Oude, Ittersum Martin Van (2010): FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies. Agricultural Systems, 103, 585-597
Meert H., Van Huylenbroeck G., Vernimmen T., Bourgeois M., van Hecke E. (2005): Farm household survival strategies and diversification on marginal farms. Journal of Rural Studies, 21, 81-97
Offermann Frank, Nieberg Hiltrud, Zander Katrin (2009): Dependency of organic farms on direct payments in selected EU member states: Today and tomorrow. Food Policy, 34, 273-279
Oskam A., Meester G., Silvis H. (2011): EU Policy for Agriculture, Food and Rural Areas. Wageningen Academic Publishers, Wageningen.
Paris Q., Howitt R. E. (1998): An Analysis of Ill-Posed Production Problems Using Maximum Entropy. American Journal of Agricultural Economics, 80, 124-138
Regulation (EU) 1782/2003 of the European Parliament and of the Council establishing common rules for direct support schemes under the common agricultural policy and establishing certain support schemes for farmers. Official Journal of the European Union, 46 (L 270): 1–69.
Regulation (EU) 73/2009 of the European Parliament and of the Council establishing common rules for direct support schemes for farmers under the Common Agricultural Policy and establishing certain support schemes for farmers. Official Journal of the European Union, 52 (L 30): 16–99.
Regulation (EU) 1305/2013 of the European Parliament and of the Council on support for rural development by the European Agricultural Fund for Rural Development (EAFRD). Official Journal of the European Union, L 347: 487–548
Regulation (EU) 1306/2013 of the European Parliament and of the Council on the financing, management and monitoring of the Common Agricultural Policy. Official Journal of the European Union, L 347: 549–607.
Regulation (EU) 1307/2013 of the European Parliament and of the Council establishing rules for direct payments to far-mers under support schemes within the framework of the Common Agricultural Policy. Official Journal of the European Union, L347: 608–670.
Röhm Ottmar, Dabbert Stephan (2003): Integrating Agri-Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming. American Journal of Agricultural Economics, 85, 254-265
Romanian Government (2007): National Rural Development Programme 2007–2013. Bucharest.
Romanian National Institute of Statistics (2010): Romanian Statistics Yearbook 2010. Bucharest.
Thorne P.J., Hengsdijk H., Janssen S., Louhichi K., van Keulen H., Thornton P.K. (2009): Modelling livestock component in FSSIM. SEAMLESS report No. 35, SEAMLESS integrated project. EU 6th Framework Programme, contract no. 010036-2. Available at
Uthes Sandra, Piorr Annette, Zander Peter, Bieńkowski Jerzy, Ungaro Fabrizio, Dalgaard Tommy, Stolze Matthias, Moschitz Heidrun, Schader Christian, Happe Kathrin, Sahrbacher Amanda, Damgaard Martin, Toussaint Verena, Sattler Claudia, Reinhardt Franz-Josef, Kjeldsen Chris, Casini Leonardo, Müller Klaus (2011): Regional impacts of abolishing direct payments: An integrated analysis in four European regions. Agricultural Systems, 104, 110-121
van Delden Hedwig, Stuczynski Tomasz, Ciaian Pavel, Paracchini Maria Luisa, Hurkens Jelle, Lopatka Artur, Shi Yu-e, Prieto Oscar Gomez, Calvo Silvia, van Vliet Jasper, Vanhout Roel (2010): Integrated assessment of agricultural policies with dynamic land use change modelling. Ecological Modelling, 221, 2153-2166
Verboom Jana, Alkemade Rob, Klijn Jan, Metzger Marc J., Reijnen Rien (2007): Combining biodiversity modeling with political and economic development scenarios for 25 EU countries. Ecological Economics, 62, 267-276
Verburg P.H., Schulp N., Witte N., Veldkamp A. (2006): Downscaling of land use change scenarios to assess the dynamics of European landscapes. Agriculture Ecosystems & Environment, 114: 39–56.
Wegener S., Labar K., Petrick M., Marquardt D., Theesfeld I., Buchenrieder G. (): Administering the Common Agricultural Policy in Bulgaria and Romania: obstacles to accountability and administrative capacity. International Review of Administrative Sciences, 77, 583-608
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