Regional impacts of the EU Rural Development Programme: Poland’s food processing sector

REFERENCES

• Abebaw, D., & Haile, M. G. (2013). The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia. Food Policy, 38, 82–91. doi: 10.1016/j.foodpol.2012.10.003
   Web of Science ®Google Scholar
• Arata, L., & Sckokai, P. (2016). The impact of agri-environmental schemes on farm performance in five E.U. member states: A DID-matching approach. Land Economics, 92(1), 167–186. doi: 10.3368/le.92.1.167
   Web of Science ®Google Scholar
• Bakucs, Z., Ferto, I., & Benedek, Z. (2019). Success or waste of taxpayer money? Impact assessment of rural development programs in Hungary. Sustainability, 11(4), 1–23.
   Google Scholar
• Bartova, L. and Hurnakova, J. (2016). Estimation of farm investment support effects: A counterfactual approach. In Proceedings of the International Scientific Conference Quantitative Methods in Economics: Multiple Criteria Decision Making XVIII, pp. 19–24.
   Google Scholar
• Basile, R., Castellani, D., & Zanfei, A. (2008). Location choices of multinational firms in Europe: The role of EU Cohesion Policy. Journal of International Economics, 74(2), 328–340. doi: 10.1016/j.jinteco.2007.08.006
   Web of Science ®Google Scholar
• Becker, S., Egger, P. H., & von Ehrlich, M. (2010). Going NUTS: The effect of EU Structural Funds on regional performance. Journal of Public Economics, 94(9–10), 578–590. doi: 10.1016/j.jpubeco.2010.06.006
   Web of Science ®Google Scholar
• Bia, M., & Mattei, A. (2008). A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score. Stata Journal: Promoting Communications on Statistics and Stata, 8(3), 354–373. doi: 10.1177/1536867X0800800303
   Google Scholar
• Blackwell, M., Iacus, S., King, G., & Porro, G. (2010, February 22). cem: Coarsened exact matching in Stata. Retrieved from http://gking.harvard.edu/files/gking/files/cem-stata.pdf
   Google Scholar
• Brandsma, A., Kancs, D., & Ciaian, P. (2013). The role of additionality in the EU Cohesion Policies: An example of firm-level investment support. European Planning Studies, 21, 838–853. doi: 10.1080/09654313.2012.722928
   Web of Science ®Google Scholar
• Bronzini, R., & De Blasio, G. (2006). Evaluating the impact of investment incentives: The case of Italy’s Law 488/1992. Journal of Urban Economics, 60, 327–349. doi: 10.1016/j.jue.2006.03.005
   Web of Science ®Google Scholar
• Castaño, J., Blanco, M., & Martinez, P. (2019). Reviewing counterfactual analyses to assess impacts of EU rural development programmes: What lessons can be learned from the 2007–2013 ex-post evaluations? Sustainability, 11(4), 1–22. doi: 10.3390/su11041105
   Web of Science ®Google Scholar
• Coppola, G., & Destefanis, S. (2015). Structural Funds and regional convergence: Some sectoral estimates for Italy. In Mussida, C., & Pastore, F. (Eds.), Geographical labor market imbalances (pp. 307–333). Berlin: Springer.
   Google Scholar
• Crescenzi, R., & Giua, M. (2018). One or many Cohesion Policies of the European Union? On the diverging impacts of Cohesion Policy across member states (SERC Discussion Paper No. 230). Spatial Economics Research Centre.
   Google Scholar
• Daly, D., Gorman, I., Lenjosek, G., MacNevin, A., & Phiriyapreunt, W. (1993). The impact of regional investment incentives on employment and productivity. Regional Science and Urban Economics, 23(4), 559–575. doi: 10.1016/0166-0462(93)90047-I
   Web of Science ®Google Scholar
• De Castris, M., & Pellegrini, G. (2016). Neighbourhood effects and propensity score matching (Working Papers No. 0515). Rome: CREI Università degli Studi Roma Tre.
   Google Scholar
• De Dominicis, L. (2014). Inequality and growth in European regions: Towards a place-based approach. Spatial Economic Analysis, 9(2), 120–141. doi: 10.1080/17421772.2014.891157
   Web of Science ®Google Scholar
• Démurger, S., & Wan, H. (2012). Payments for ecological restoration and internal migration in China: The sloping land conversion program in Ningxia. IZA Journal of Migration, 1(10), 1–22.
   Google Scholar
• Desjeux, Y., Dupraz, P., Latruffe, L., Maigne, E., & Cahuzac, E. (2014). Evaluating the impact of rural development measures on farm labour use: A spatial approach. Paper presented at the EAAE 2014 Congress Agri-Food and Rural Innovations for Healthier Societies, Ljubljana, Slovenia, August 26–29, 2014.
   Google Scholar
• Dwyer, J. (2013). Transformation for sustainable agriculture: What role for the second Pillar of CAP? Bio-based and Applied Economics, 2(1), 29–47.
   Google Scholar
• European Commission. (2006). Rural development 2007–2013: Handbook on common monitoring and evaluation framework (Guidance Document). Brussels: Directorate General for Agriculture and Rural Development.
   Google Scholar
• European Commission. (2013). Overview of CAP reform 2014–2020 (Agricultural Policy Perspectives Brief No. 5*). Brussels: European Commission. Retrieved from https://ec.europa.eu/agriculture/sites/agriculture/files/policy-perspectives/policy-briefs/05_en.pdf
   Google Scholar
• European Commission. (2017). CAP implementation: Flexibility given to member states: State of play and perspectives. Luxembourg: Publications Office of the European Union.
   Google Scholar
• European Commission. (2019). Rural development 2014–2020. Agriculture and rural development, European Commission. Retrieved from https://ec.europa.eu/agriculture/rural-development-2014-2020_en
   Google Scholar
• European Court of Auditors (ECA). (2016). Is the Commission’s system for performance measurement in relation to farmers’ incomes well designed and based on sound data? (Special Report No. 01). Luxembourg: European Court of Auditors.
   Google Scholar
• European Network for Rural Development (ENRD). (2015a). State of play of total public and EAFRD expenditure per measure in EU-27. Retrieved from https://enrd.ec.europa.eu/sites/enrd/files/mi_financial_fiche_2015_eu27_0.pdf
   Google Scholar
• European Network for Rural Development (ENRD). (2015b). State of play of total public and EAFRD expenditure per measure in Poland. Retrieved from https://enrd.ec.europa.eu/sites/enrd/files/mi_financial_fiche_2015_pl_0.pdf
   Google Scholar
• European Network for Rural Development (ENRD). (2019). Priority & focus area Summaries. Retrieved from https://enrd.ec.europa.eu/policy-in-action/rural-development-policy-figures/priority-focus-area-summaries_en
   Google Scholar
• Fratesi, U., & Perucca, G. (2014). Territorial capital and the effectiveness of cohesion policies: An assessment for CEE regions. Investigaciones Regionales, 29, 165–191.
   Google Scholar
• Fucilli, V. (2009). Mid-term evaluation of rural development plans in Italy: Comparing models. New Medit, 8(4), 13–21.
   Web of Science ®Google Scholar
• Garrone, M. (2019). Jobs and agricultural policy: Impact of the Common Agricultural Policy on EU agricultural employment. In Essays on EU agriculture, food and the Common Agricultural Policy. PhD dissertation, KU Leuven.
   Google Scholar
• Hagen, T., & Mohl, P. (2009). Econometric evaluation of EU Cohesion Policy: A survey (Discussion Paper No. 09-052). Mannheim: ZEW.
   Google Scholar
• Heckman, J. (1997). Instrumental variables: A study of implicit behavioral assumptions used in making program evaluations. Journal of Human Resources, 32(3), 441–462. doi: 10.2307/146178
   Web of Science ®Google Scholar
• Heckman, J., & Robb, R. (1985). Alternative methods for evaluating the impact of interventions. In Heckman, J., & Singer, B. (Eds.), Longitudinal analysis of labor market data (pp. 156–246). Cambridge: Cambridge University Press.
   Google Scholar
• Hirano, K., & Imbens, G. W. (2004). The propensity score with continuous treatments. In Gelman, A., & Meng, X.-L. (Eds.), Applied Bayesian modeling and causal inference from incomplete-data perspectives (pp. 73–84). Chichester: Wiley InterScience.
   Google Scholar
• Iacus, S. M., King, G., & Porro, G. (2009). Cem: Software for coarsened exact matching. Journal of Statistical Software, 30(9), 1–27. doi: 10.18637/jss.v030.i09
   PubMed Web of Science ®Google Scholar
• Kancs, D., & Siliverstovs, B. (2016). R&D and non-linear productivity growth. Research Policy, 45(3), 634–646. doi: 10.1016/j.respol.2015.12.001
   Web of Science ®Google Scholar
• Kirchweger, S., & Kantelhardt, J. (2015). The dynamic effects of government-supported farm-investment activities on structural change in Austrian agriculture. Land Use Policy, 48, 73–93. doi: 10.1016/j.landusepol.2015.05.005
   Web of Science ®Google Scholar
• Kirchweger, S., Kantelhardt, J., & Leisch, F. (2015). Impacts of the government-supported investments on the economic farm performance in Austria. Agricultural Economics – Czech, 8, 343–355.
   Web of Science ®Google Scholar
• Kuhfuss, L., & Subervie, J. (2018). Do European agri-environment measures help reduce herbicide use? Evidence from viticulture in France. Ecological Economics, 149, 202–211. doi: 10.1016/j.ecolecon.2018.03.015
   Web of Science ®Google Scholar
• Louhichi, K., Espinosa, M., Ciaian, P., Perni, A., Vosough Ahmadi, B., Colen, L., & Gomez y Paloma, S. (2018). The EU-wide individual farm model for Common Agricultural Policy analysis (IFM-CAP v.1: Economic Impacts of CAP Greening. EUR 28829 EN). Luxembourg: European Commission, Joint Research Centre, Publications Office of the European Union.
   Google Scholar
• Mack, G., Fîntîneru, G., & Kohler, A. (2018). Do rural development measures improve vitality of rural areas in Romania? AgroLife Scientific Journal, 7(2), 82–98.
   Web of Science ®Google Scholar
• Maynou, L., Saez, M., Kyriacou, A., & Bacaria, J. (2014). The impact of Structural and Cohesion Funds on Eurozone convergence, 1990–2010. Regional Studies, 50(7), 1127–1139. doi: 10.1080/00343404.2014.965137
   Web of Science ®Google Scholar
• Medonos, T., Ratinger, T., Hruška, M., & Špička, J. (2012). The assessment of the effects of investment support measures of the rural development programmes: The case of the Czech Republic. Agris on-Line Papers in Economics and Informatics, 4(4), 35–48.
   Google Scholar
• Michalek, J. (2012a). Counterfactual impact evaluation of EU rural development programmes – Propensity score matching methodology applied to selected EU member states, Vol. 1: A micro-level approach. Luxembourg: Publications Office of the European Union.
   Google Scholar
• Michalek, J. (2012b). Counterfactual impact evaluation of EU rural development programmes – Propensity score matching methodology applied to selected EU member states, Vol. 2: A regional approach. Luxembourg: Publications Office of the European Union.
   Google Scholar
• Michalek, J., Ciaian, P., & Kancs, D. (2014). Capitalization of the single payment scheme into land value: Generalized propensity score evidence from the European Union. Land Economics, 90(2), 260–289. doi: 10.3368/le.90.2.260
   Web of Science ®Google Scholar
• Michalek, J., Ciaian, P., & Kancs, D. (2016). Investment crowding out: Firm-level evidence from northern Germany. Regional Studies, 50(9), 1579–1594. doi: 10.1080/00343404.2015.1044957
   Web of Science ®Google Scholar
• Michalek, J., Ciaian, P., & Pokrivcak, J. (2018). The impact of producer organizations on farm performance: The case study of large farms from Slovakia. Food Policy, 75, 80–92. doi: 10.1016/j.foodpol.2017.12.009
   Web of Science ®Google Scholar
• Mitze, T., Paloyo, A., & Alecke, B. (2012). Quasi-experimental methods in empirical regional science and policy analysis: Is there a scope for application? (Ruhr Economic Papers No. 367). RWI – Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
   Google Scholar
• Nilsson, N. (2017). Productivity effects of CAP investment support: Evidence from Sweden using matched panel data. Land Use Policy, 66, 172–182. doi: 10.1016/j.landusepol.2017.04.043
   Web of Science ®Google Scholar
• Olper, A., Raimondi, V., Cavicchioli, D., & Vigani, M. (2014). Do CAP payments reduce farm labour migration? A panel data analysis across EU regions. European Review of Agricultural Economics, 41(5), 843–873. doi: 10.1093/erae/jbu002
   Web of Science ®Google Scholar
• Petrick, M., & Zier, P. (2011). Regional employment impacts of Common Agricultural Policy measures in Eastern Germany: A difference-in-differences approach. Agricultural Economics, 42(2), 183–193. doi: 10.1111/j.1574-0862.2010.00509.x
   Web of Science ®Google Scholar
• Piattoni, S., & Polverari, L. (2016). Handbook of Cohesion Policy in the EU. Cheltenham: Edward Elgar.
   Google Scholar
• Pufahl, A., & Weiss, C. R. (2009). Evaluating the effects of farm programmes: Results from propensity score matching. European Review of Agricultural Economics, 36, 79–101. doi: 10.1093/erae/jbp001
   Web of Science ®Google Scholar
• Rodríguez-Pose, A., & Fratesi, U. (2004). Between development and social policies: The impact of European Structural Funds in Objective 1 regions. Regional Studies, 38, 97–113. doi: 10.1080/00343400310001632226
   Web of Science ®Google Scholar
• Salvioni, C., & Sciulli, D. (2018). Rural development policy in Italy: The impact of growth-oriented measures on farm outcomes. Agricultural Economics (Zemědělská Ekonomika), 64(3), 115–130. doi: 10.17221/73/2016-AGRICECON
   Web of Science ®Google Scholar
• Slavin, R., & Smith, D. (2009). The relationship between sample sizes and effect sizes in systematic reviews in education. Educational Evaluation and Policy Analysis, 40, 215–229.
   Google Scholar
• Smith, J., & Todd, P. (2004). Does matching overcome Lalonde’s critique of nonexperimental estimators? Journal of Econometrics, 125(1–2), 305–353. doi: 10.1016/j.jeconom.2004.04.011
   Web of Science ®Google Scholar
• Stuart, E. A. (2010). Matching methods for causal inference: A review and a look forward. Statistical Science, 25, 1–21. doi: 10.1214/09-STS313
   PubMed Web of Science ®Google Scholar
• Udagawa, C., Hodge, I., & Reader, M. (2014). Farm level costs of agri-environment measures: The impact of entry level stewardship on cereal farm incomes. Journal of Agricultural Economics, 65, 212–233. doi: 10.1111/1477-9552.12043
   Web of Science ®Google Scholar
• Wells, A. R., Hamar, B., Bradley, C., Gandy, W. M., Harrison, P. L., Sidney, J. A., … Pope, J. E. (2013). Exploring robust methods for evaluating treatment and comparison groups in chronic care management programs. Population Health Management, 16(1), 35–45. doi: 10.1089/pop.2011.0104
   PubMed Web of Science ®Google Scholar
• Winters, P., & Rubio, S. S. (2010). Evaluating the impact of regional development programs: Impact-evaluation guidelines (Technical Notes No. IDB-TN-157). Inter-American Development Bank.
   Google Scholar