Abstract
Growing food shortage encourage businesses to increase yields, mainly through extensive capacity building. However, this path often leads to a negative impact on the environment and does not consider social issues. Increasing yields requires the implementation of strategies for sustainable agricultural development and intensification of production. Selecting such strategies at the level of agricultural enterprises requires their classification and analysis. The purpose of the study is to group agrarian enterprises in Kharkiv Oblast and identify clusters with high potential for the implementation of alternative strategies for sustainable intensification. Based on the concept proposed by J. Pretty, the study classifies enterprises by the ecological and economic, socio-economic and environmental dimensions on the basis of such factors as crop diversity, depreciation, organic fertiliser application, labour costs, use of mineral fertilisers, fuel materials per hectare of land. Data from 514 agricultural production enterprises in Kharkiv Oblast in 2019 and 510 enterprises in 2020 were used for the categorisation. The data were processed through a cluster analysis method using specialised Microsoft Excel and SPSS21 software. The study presents an algorithm for choosing strategies for sustainable development and sustainable intensification of agricultural enterprises based on cluster analysis. Classification of enterprises by the level of diversity of agricultural crops, application of organic fertilisers, labour costs, application of mineral fertilisers, depreciation level, fuel materials per hectare of land allowed identifying agricultural enterprises that have the greatest potential to implement sustainable intensification practices from the proposed alternatives. The introduction of integrated pest management tools has been suggested for companies that consume significant amounts of mineral fertilisers and fuels and lubricants. The practical significance of the findings lies in providing recommendations for selecting sustainable intensification strategies depending on the level of enterprise yields, the amount of mineral fertiliser and fuel and lubricants used, the diversity of crops, etc
Keywords
sustainable development, sustainable development strategies, cluster analysis, one-way ANOVA, agriculture, Kharkiv oblast
References
1. State Statistics Service of Ukraine. (2020). Ukraine’s foreign trade 2020: Statistical collection. Kyiv: Derzhstat.
2. Official website of the State Statistics Service of Ukraine. (n.d.). Retrieved from http://www.ukrstat.gov.ua/.
3. Ministry of Economics of Ukraine. (2020). Infographics on the general results of exports of goods and services of Ukraine in 2020. Retrieved from http://surl.li/butxs.
4. Pandey, R.K., Crawford Jr., T.W., & Maranville, J.W. (2002). Agriculture intensification and ecologically sustainable land use in Niger: A case study of evolution of intensive systems with supplementary irrigation. Journal of Sustainable Agriculture, 20(3), 33-55.
5. Burney, J.A., Davis, S.J., & Lobell, D.B. (2010). Greenhouse gas mitigation by agricultural intensification. Proceedings of the National Academy of Sciences of the United States of America, 107, 12052-12057.
6. Official website of Department of Statistics in Kharkiv region. (n.d.). Retrieved from http://kh.ukrstat.gov.ua/.
7. Strapchuk, S.I., & Mykolenko, O.P. (2021). Factors of sustainable intensification in agriculture of Ukraine on the example of enterprises of Kharkiv region. Scientific Bulletin of Mukachevo State University. Series “Economics”, 8(3), 9-17.
8. Rockström, J., & Sukhdev, P. (2016). How food connects all the SDGs – Stockholm Resilience Centre. Retrieved from https://www.stockholmresilience.org/research/research-news/2016-06-14-how-foodconnects-all-the-sdgs.html.
9. Law of Ukraine No. 9015 “On the Strategy of Sustainable Development of Ukraine until 2030”. (2018, August). Retrieved from https://zakon.rada.gov.ua/laws/show/722/2019#Text.
10. European Commission. (2019). Annual sustainable growth strategy 2020. Retrieved from https://commission.europa.eu/publications/2020-european-semester-annual-sustainable-growth-strategy_en.
11. Jackson, T. (2009). Prosperity without growth economics for a Finite Planet. London: Earthscan.
12. Pretty, J.N. (2006). Agroecological approaches to agricultural development. Retrieved from https://openknowledge.worldbank.org/handle/10986/9044.
13. Pretty, J., Benton, T.G., Bharucha, Z.P., Dicks, L.V., Flora, C.B., Godfray, H.C., & Wratten, J.S. (2018). Global assessment of agricultural system redesign for sustainable intensification. Nature Sustainability, 1(8), 441-446.
14. Reganold, J.P., & Wachter, J.M. (2016). Organic agriculture in the twenty-first century. Nature Plants, 2(2), article number 15221. https://doi.org/10.1038/nplants.2015.221.
15. Ponisio, L.C., M’Gonigle, L.K., Mace, K.C., Palomino, J., Valpine, P., & Kremen, C. (2015). Diversification practices reduce organic to conventional yield gap. Proceedings of the Royal Society, 282, article number 1799. https://doi.org/10.1098/rspb.2014.1396.
16. Bidogeza, J.C., Berentsen, P.M., De Graaff, J., & Oude Lansik, A.G. (2009). A typology of farm households for the Umatara province in Rwanda. Food Security, 1(3), 321-335.
17. Nguyen, C.D., & Duong, T.H. (2018). A fast and efficient K-means algorithms. Database System, 11, 27-45.
18. Lattin, J., Carroll, D., & Green, P. (2005). Analyzing multivariate data (2nd ed.). Pacific Grove: Thomson Brooks/Cole.
19. Kobrich, C., Rehman, T., & Khan, M. (2003). Typification of farming systems for constructing representative farm models: Two illustrations of the application of multi-variate analyses in Chile and Pakistan. Agricultural Systems, 76(1), 141-157.
20. Shaner, D.L. (2014). Herbicide handbook (10th ed.). Lawrence: WSSA.
21. Giller, K.E., Tittonell, P., Rufino, M.C., Van Wijk, M.T., Zingore, S., Mapfumo, P., Adjei-Nsiah, S., Herrero, M., Chikowo, R., Corbeels, M., & Rowe, E.C. (2011). Communicating complexity: Integrated assessment of trade-offs concerning soil fertility management within African farming systems to support innovation and development. Agricurtural Systems, 104(2), 191-203.
22. Agriculture 2050 starts here and now. (2011). Retrieved from https://agridurable.top/wp-content/uploads/2017/06/86_l-agriculture-de-2050-commence-maintenant-vf-anglais-19012011.pdf.
23. Kassam, A., Friedrich, T., Shaxson, F., & Pretty, J. (2009). The spread of conservation agriculture: Justification, spread and uptake. International Journal of Agricultural. Sustainability, 7, 292-320.
24. Pingali, P., & Raney, T. (2005). From the green revolution to the gene revolution: How will the poor fare? Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO-ESA), 5-9, 1-15.
25. Skene, K., & Murray, A. (2017). Sustainable economics: Context, challenges and opportunities for the 21st century practitioner. London: Routledge.
26. Tilman, D., Balzer, C., & Hill, J. (2011). Global food demand and the sustainable intensification of agriculture. Proceedings of the National Academy of Sciences, 108, 20260-20264.
27. Engelken, M., Römer, B., Drescher, M., Welpe, I.M., & Picot, A. (2016). Comparing drivers, barriers, and opportunities of business models for renewable energies. Renewable and Sustainable Energy Reviews, 60, 795-809.
28. Tirivayi, N., Knowles, M., & Davis, B. (2016). The interaction between social protection and agriculture: A review of evidence. Global Food Security, 10, 52-62.
29. Maslii, N., Demianchuk, M., & Zhadanova, Yu. (2020). The mechanism for ensuring the system of balanced consumption and production. Scientific Horizons, 23(9), 57-67. doi: 10.48077/scihor.23(9).2020.57-67.