References
- Antle, J. M., Jones, J. W., & Rosenzweig, C. E. (2017). Next generation agricultural system data, models and knowledge products: Introduction. Agricultural Systems, 155, 186–190. https://doi.org/https://doi.org/10.1016/j.agsy.2016.09.003
- Antonelli, M., Siciliano, G., Turvani, M. E., & Rulli, M. C. (2015). Global investments in agricultural land and the role of the EU: Drivers, scope and potential impacts. Land Use Policy, 47, 98–111. https://doi.org/https://doi.org/10.1016/j.landusepol.2015.04.007
- Balbi, S., Prado, A. d., Gallejones, P., Geevan, C. P., Pardo, G., Pérez-Miñana, E., Manrique, R., Hernandez-Santiago, C., & Villa, F. (2015). Modeling trade-offs among ecosystem services in agricultural production systems. Environmental Modelling & Software, 72, 314–326. https://doi.org/https://doi.org/10.1016/j.envsoft.2014.12.017
- Berger, T., & Troost, C. (2014). Agent-based modelling of climate adaptation and mitigation options in agriculture. Journal of Agricultural Economics, 65(2), 323–348. https://doi.org/https://doi.org/10.1111/1477-9552.12045
- Candel, J. J. L., Breeman, G. E., Stiller, S. J., & Termeer, C. J. A. M. (2014). Disentangling the consensus frame of food security: The case of the EU common agricultural policy reform debate. Food Policy, 44, 47–58. https://doi.org/https://doi.org/10.1016/j.foodpol.2013.10.005
- Ciutacu, C., Chivu, L., & Andrei, J. V. (2015). Similarities and dissimilarities between the EU agricultural and rural development model and romanian agriculture. Challenges and perspectives. Land Use Policy, 44, 169–176. https://doi.org/https://doi.org/10.1016/j.landusepol.2014.08.009
- Clark, M., & Tilman, D. (2017). Comparative analysis of environmental impacts of agricultural production systems, agricultural input efficiency, and food choice. Environmental Research Letters, 12(6), 064016–064011. https://doi.org/https://doi.org/10.1088/1748-9326/aa6cd5
- Czyżewski, A., & Smędzik-Ambroży, K. (2015). The efficiency of the agricultural sector in Poland in the light output-input model. Management, 19(1), 113–125. https://doi.org/https://doi.org/10.1515/manment-2015-0009
- Czyżewski, A., & Grzelak, A. (2018). Application of the input-output model for structural analysis on the example of the agricultural sector in Poland. Management, 22(2), 285–298. https://doi.org/https://doi.org/10.2478/manment-2018-0037
- Czyżewski, B., Matuszczak, A., Polcyn, J., Smędzik-Ambroży, K., Staniszewski, J., et.al. (2020). Deadweight loss in environmental policy: The case of the European Union member states. Journal of Cleaner Production, 260, 121064–121013., https://doi.org/https://doi.org/10.1016/j.jclepro.2020.121064
- European Commission. (2018). Eurostat 2018 - Agriculture, Forestry and Fishery Statistics 2018 Edition. edited by Edward Cook. 2018th ed. Luxembourg: Publications Office of the European Union. https://doi.org/https://doi.org/10.2785/668439.
- Eurostat. (2019). “Agri-Environmental Indicators.” eurostat datbase, https://ec.europa.eu/eurostat/statistics-explained/index.php/Agri-environmental_indicators.
- “Economic Accounts for Agriculture - Values at Constant Prices.” 3.4.11b-20190314-e2667-ESTAT_LINUX_PRODDATA-EXPLORER_PRODmanaged23, 2019. https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=aact_eaa07&lang=en.
- Feher, A., Goșa, V., Raicov, M., Haranguș, D., & Condea, B. V. (2017). Convergence of Romanian and Europe Union Agriculture – Evolution and prospective assessment. Land Use Policy, 67, 670–678. https://doi.org/https://doi.org/10.1016/j.landusepol.2017.06.016
- Fraisse, C., Andreis, J. H., Borba, T., Cerbar, V., Gelcer, E., Pavan, W., Pequeno, D., Perondi, D., Shen, X., Staub, C., Uryasev, O., & Wagner, A. P. (2016). AgroClimate - Tools for managing climate risk in agriculture. Agrometeoros, 24(1), 121–129. https://doi.org/https://doi.org/10.31062/agrom.v24i1.24887
- Fritz, S., See, L., Bayas, J. C. L., Waldner, F., Jacques, D., Becker-Reshef, I., Whitcraft, A., Baruth, B., Bonifacio, R., Crutchfield, J., Rembold, F., Rojas, O., Schucknecht, A., Van der Velde, M., Verdin, J., Wu, B., Yan, N., You, L., Gilliams, S., … McCallum, I., et al. (2019). A comparison of global agricultural monitoring systems and current gaps. Agricultural Systems, 168, 258–272. https://doi.org/https://doi.org/10.1016/j.agsy.2018.05.010
- Lanz, B., Dietz, S., & Swanson, T. (2018). Global economic growth and agricultural land conversion under uncertain productivity improvements in agriculture. American Journal of Agricultural Economics, 100(2), 545–569. https://doi.org/https://doi.org/10.1093/ajae/aax078
- Lemaire, G., Franzluebbers, A., Carvalho, P. C. d F., & Dedieu, B. (2014). Integrated crop–livestock systems: Strategies to achieve synergy between agricultural production and environmental quality. Agriculture, Ecosystems & Environment, 190, 4–8. https://doi.org/https://doi.org/10.1016/j.agee.2013.08.009.
- Popescu, A., Alecu, I. N., Dinu, T. A., Stoian, E., Condei, R., & Ciocan, H. (2016). Farm structure and land concentration in Romania and the European Union’s Agriculture. Agriculture and Agricultural Science Procedia, 10, 566–577. https://doi.org/https://doi.org/10.1016/j.aaspro.2016.09.036
- Popescu, G. H., Nicoale, I., Nica, E., Vasile, A. J., & Andreea, I. R. (2017). The influence of land-use change paradigm on Romania’s agro-food trade competitiveness—An overview. Land Use Policy, 61, 293–301. https://doi.org/https://doi.org/10.1016/j.landusepol.2016.10.032
- Schwab, K. (2018). The global competitiveness report 2018. World Economic Forum Reports 2018, 1, 1–671. ISBN-13:978-92-95044-73-9.
- Vlontzos, G., & Pardalos, P. M. (2017). Assess and prognosticate green house gas emissions from agricultural production of EU Countries, by implementing, DEA window analysis and artificial neural networks. Renewable and Sustainable Energy Reviews, 76, 155–162. https://doi.org/https://doi.org/10.1016/j.rser.2017.03.054
- Zeverte-Rivza, S., Nipers, A., Pilvere, I. (2017). Agricultural production and market modelling approaches. In Roceedings of the 2017 International Conference “ECONOMIC SCIENCE fOR RURAL DEVELOPMENT,” 267–274.