Анализ на нагласите на фермерите за предоставяне на агроекологични обществени блага в България
Светозар Иванов, Димитър Николов, Красимир Костенаров
Резюме: В настоящата статия е направен анализ на различни фактори и нагласи на земеделските стопани да предоставят агроекологични обществени блага, извършвайки своята дейност на територията на България. В рамките на проект „Предоставяне на агроекологични обществени блага в земеделието чрез усъвършенстване на договорните отношения“ (ПРАДО) 2022 г. – 2023 г., Институт по аграрна икономика, гр. София, се проведе анкетно проучване. За целите на анализа се използва частично пропорционален логистичен модел. В процеса на анализа, относно възприемането и готовността на земеделските стопани да участват в предоставянето на агроекологични обществени блага, се акцентира върху четири основни типа договори – за постигнати резултати, за колективни действия, верига на стойността и владеене на земята. Получените резултати от изследването показват, че различни фактори като: образование, производство на сертифицирана биологична продукция, размер на обработваемата площ, наемане на земя с намален наем, основна дейност в стопанството и други, оказват положително влияние върху нагласите за участие на земеделските стопани в анализираните четири типа договори.
Ключови думи: агроекология; ОСП; земеделски стопани; иновативни договори
Цитиране: Ivanov, Sv., Nikolov, D., Kostenarov, Kr. (2024). Analysis of farmers attitudes towards providing agroecological
public goods in Bulgaria. Bulgarian Journal of Agricultural Economics and Management, 69(2), 55-67.
Литература: (click to open/close) | Agresti, A. (2010). Analysis of Ordinal Categorical Data, Wiley Series in Probability and Statistics. Wiley. Agresti, A. (2019). An introduction to categorical data analysis. Third edition. Ed. Wiley series in probability and statistics. John Wiley & Sons, Hoboken, N. J. Aslam, U., Termansen, M., & Fleskens, L. (2017). Investigating farmers’ preferences for alternative PES schemes for carbon sequestration in UK agroecosystems. Ecosystem services, 27, 103-112. Bartkowski, B., Droste, N., Ließ, M., Sidemo-Holm, W., Weller, U., & Brady, M. V. (2021). Payments by modelled results: A novel design for agri-environmental schemes. Land Use Policy, 102, 105230. Brant, R. (1990). Assessing proportionality in the proportional odds model for ordinal logistic regression. Biometrics, 1171-1178. Bredemeier, B., Herrmann, S., Sattler, C., Prager, K., van Bussel, L. G., & Rex, J. (2022). Insights into innovative contract design to improve the integration of biodiversity and ecosystem services in agricultural management. Ecosystem Services, 55, 101430. Buis, M., & Williams, R. (2013, July). Using simulation to inspect the performance of a test, in particular tests of the parallel regressions assumption in ordered logit and probit models. In German Stata Users' Group Meetings 2013 (No. 06). Stata Users Group. Clogg, C. C., Shihadeh, E. S. (1994). Statistical Models for Ordinal Variables, Advanced Quantitative Techniques in the Social Sciences. SAGE Publications Inc., Thousand Oaks, United States. de Krom, M. P. (2017). Farmer participation in agri-environmental schemes: Regionalisation and the role of bridging social capital. Land use policy, 60, 352-361. Eichhorn, T., Kantelhardt, J., Schaller, L., et al. (2020a). Deliverable D2.1 Catalogue of descriptive factsheets of all European case studies. Eichhorn, T., Targetti, S., Schaller, L., Kantelhardt, J., Viaggi, D., et al. (2020b). Deliverable D2.4 Report on WP2 lessons learned. Espinosa-Goded, M., Barreiro-Hurlé, J., & Dupraz, P. (2013). Identifying additional barriers in the adoption of agri-environmental schemes: The role of fixed costs. Land Use Policy, 31, 526-535. Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., Helkowski, J. H., Holloway, T., Howard, E. A., Kucharik, C. J., Monfreda, C., Patz, J. A., Prentice, I. C., Ramankutty, N., Snyder, P. K. (2005). Global Consequences of Land Use. Science 309. Franks, J. R. (2011). The collective provision of environmental goods: a discussion of contractual issues. Journal of Environmental Planning and Management, 54(5), 637-660. Franzén, F., Dinnétz, P., & Hammer, M. (2016). Factors affecting farmers' willingness to participate in eutrophication mitigation – a case study of preferences for wetland creation in Sweden. Ecological Economics, 130, 8-15. Fullerton, A. S. (2009). A conceptual framework for ordered logistic regression models. Sociological methods & research, 38(2), 306-347. Gabel, V. M., Home, R., Stolze, M., Birrer, S., Steinemann, B., & Köpke, U. (2018). The influence of on-farm advice on beliefs and motivations for Swiss lowland farmers to implement ecological compensation areas on their farms. The Journal of Agricultural Education and Extension, 24(3), 233-248. Herzon, I., Birge, T., Allen, B., Povellato, A., Vanni, F., Hart, K., ... & Pražan, J. (2018). Time to look for evidence: Results-based approach to biodiversity conservation on farmland in Europe. Land use policy, 71, 347-354. Lall, R., Campbell, M. J., Walters, S. J., Morgan, K., & MRC CFAS Co-operative. (2002). A review of ordinal regression models applied on health-related quality of life assessments. Statistical methods in medical research, 11(1), 49-67. Lastra-Bravo, X. B., Hubbard, C., Garrod, G., & Tolón-Becerra, A. (2015). What drives farmers’ participation in EU agri-environmental schemes? Results from a qualitative meta-analysis. Environmental Science & Policy, 54, 1-9. Long, J. S., & Freese, J. (2006). Regression models for categorical dependent variables using Stata (Vol. 7). Stata press. Manyise, T., & Dentoni, D. (2021). Value chain partnerships and farmer entrepreneurship as balancing ecosystem services: Implications for agri-food systems resilience. Ecosystem Services, 49, 101279. Matzdorf, B., Kaiser, T., & Rohner, M. S. (2008). Developing biodiversity indicator to design efficient agri-environmental schemes for extensively used grassland. Ecological Indicators, 8(3), 256-269. McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109-127. Mccullagh, P., Nelder, J. A. (1989). Generalized Linear Models. Chapman and Hall/CRC. McKelvey, R. D., & Zavoina, W. (1975). A statistical model for the analysis of ordinal level dependent variables. Journal of mathematical sociology, 4(1), 103-120. Micha, E., Areal, F. J., Tranter, R. B., & Bailey, A. P. (2015). Uptake of agri-environmental schemes in the Less-Favoured Areas of Greece: The role of corruption and farmers’ responses to the financial crisis. Land Use Policy, 48, 144-157. Nyström, M., Jouffray, J. B., Norström, A. V., Crona, B., Søgaard Jørgensen, P., Carpenter, S. R., ... & Folke, C. (2019). Anatomy and resilience of the global production ecosystem. Nature, 575(7781), 98-108. Pe’er, G., Finn, J. A., Díaz, M., Birkenstock, M., Lakner, S., Röder, N., Kazakova, Y., Šumrada, T., Bezák, P., Concepción, E. D., Dänhardt, J., Morales, M. B., Rac, I., Špulerová, J., Schindler, S., Stavrinides, M., Targetti, S., Viaggi, D., Vogiatzakis, I.N., Guyomard, H. (2022). How can the European Common Agricultural Policy help halt biodiversity loss? Recommendations by over 300 experts. Conservation letters. Peterson, B., & Harrell Jr., F. E. (1990). Partial proportional odds models for ordinal response variables. Journal of the Royal Statistical Society: Series C (Applied Statistics), 39(2), 205-217. Prager, K. (2015). Agri-environmental collaboratives for landscape management in Europe. Current Opinion in Environmental Sustainability, 12, 59-66. Prager, K., Matzdorf, B., Dutilly, C., Andersen, E., Barghusen, R., Bredemeier, B., ... & Turkelboom, F. (2020). Key concepts to investigate agri-environmental contracts–shared conceptual framework. Rose, D., Keating, C., & Morris, C. (2018). Understand how to influence farmers’ decision-making behaviour. Agriculture and Horticulture Development Board. Available online: https://ahdb. org. uk/knowledge-library/unde rstand-how-to-influence-farmers-decision-making-behaviour. Schaller, L., Eichhorn, T., Kantelhardt, J., et al. (2020). Deliverable D2.3 Report on European in-depth case studies. Špur, N., Šorgo, A., & Škornik, S. (2018). Predictive model for meadow owners’ participation in agri-environmental climate schemes in Natura 2000 areas. Land use policy, 73, 115-124. Targetti, S., Raina, N., VIaggi, D., Eichhorn, T., Schaller, L., Kantelhardt, J., Kurttia, M. (2022). Final report on experiences from outside the EU. Tseng, T.-W. J., Robinson, B. E., Bellemare, M. F., BenYishay, A., Blackman, A., Boucher, T., Childress, M., Holland, M. B., Kroeger, T., Linkow, B., Diop, M., Naughton, L., Rudel, T., Sanjak, J., Shyamsundar, P., Veit, P., Sunderlin, W., Zhang, W., Masuda, Y. J. (2020). Influence of land tenure interventions on human well-being and environmental outcomes. . Nature Sustainability, 4(3), 242-251. Verburg, P. H., Schulp, C. J. E., Witte, N., & Veldkamp, A. (2006). Downscaling of land use change scenarios to assess the dynamics of European landscapes. Agriculture, Ecosystems & Environment, 114(1), 39-56. Walder, P., & Kantelhardt, J. (2018). The environmental behaviour of farmers–capturing the diversity of perspectives with a Q methodological approach. Ecological Economics, 143, 55-63. Westerink, J., Jongeneel, R., Polman, N., Prager, K., Franks, J., Dupraz, P., & Mettepenningen, E. (2017). Collaborative governance arrangements to deliver spatially coordinated agri-environmental management. Land Use Policy, 69, 176-192. White, B., & Hanley, N. (2016). Should we pay for ecosystem service outputs, inputs or both? Environmental and Resource Economics, 63, 765-787. Williams, R. (2006). Generalized ordered logit/partial proportional odds models for ordinal dependent variables. The stata journal, 6(1), 58-82. Williams, R. (2016). Understanding and interpreting generalized ordered logit models. The Journal of Mathematical Sociology, 40(1), 7-20. Winship, C., & Mare, R. D. (1984). Regression models with ordinal variables. American sociological review, 512-525. Yee, T. W. (2010). The VGAM package for categorical data analysis. Journal of Statistical Software, 32, 1-34. Zhang, W., Ricketts, T. H., Kremen, C., Carney, K., & Swinton, S. M. (2007). Ecosystem services and dis-services to agriculture. Ecological economics, 64(2), 253-260. Zimmermann, A., & Britz, W. (2016). European farms’ participation in agri-environmental measures. Land use policy, 50, 214-228. European Environment Agency. (2021). Abundance and distribution of selected species in Europe.
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| Дата на публикуване: 2024-06-28
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