Abstract
It was proved in the article that labor productivity at agricultural enterprises grew during the investigated period and the basis for such a trend was the rise of production volumes. Studies show that a decrease in the number of workers at agricultural enterprises is expected and based on the assumption that current trends will continue. The cost of staff retention per worker increased by 3 times but still constituted a tiny share of current expenditures and a small percentage of company income was spent on these needs. The basic wage plays the main role in the structure of the labor wage fund at agro enterprises while the amount of bonuses fund is negligible which does not stimulate employees to improve the results of their activities. Among positive changes in the material stimulation of agrarians, it can be mentioned a steady tendency to increase both nominal and real wages; an increase in its relative weight in relation to both the average level of payment in the national economy and the minimum social standards; the absence of wages debts. On the other hand, among the negative characteristics material stimulation personnel of Ukranian agrarian enterprises there are relatively low wages and the weakness of the incentive effect additional wages fund. It is determined that the projected level of labor productivity in gross production in 2020 will vary from 212.4 to 605.4 thousand UAH per employee. Prediction in case of wages showed that nominal wages per month can be in the range between 10329.33 and 15628.07 UAH in 2020.
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References
Bevers, S., McCorkle, D., Hanselka, D.: Farm and Ranch Personnel Management. The Texas A&M System. https://agecoext.tamu.edu/wp-content/uploads/2013/10/rm8-1.pdf (2013)
Sajbidorova, M., Lusňakova, Z., Dobisova, M.: Management of human resources in agricultural sector enterprises. Slovak university of agriculture in Nitra. https://spu.fem.uniag.sk/mvd2016/proceedings/en/articles/s3/sajbidorova_dobisova_lusnakova.pdf (2016)
Berde, C.: Human resource management in Hungarian agriculture. Jahrbuch der Österreichischen Gesellschaft für Agrarökonomie 15, 157–164. https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2005/05_Berde.pdf (2006)
Bitsch, V.: Personnel Management Research in Agribusiness. Michigan State University. https://ifama.org/resources/files/2009-Symposium/1067_paper.pdf (2009)
Syniaieva, L.V., Bocharova, N.O.: Motivation as a function of administrative management and a component of the local system of personnel management. In: Sinyaeva, L.V. (ed) Melitopol Collection of scientific works of Tavria State Agrotechnological University (economic sciences) vol. 1(29), pp. 127–130. http://nbuv.gov.ua/UJRN/znptdau_2015_1_26 (2015)
Petryshyn, L.: Improvement of processes of formation and use of personnel of agricultural enterprises as a factor of their economic behavior. Scientific Herald of Uzhgorod National University, Issue 16, part 2, pp. 65–68. http://www.visnyk-econom.uzhnu.uz.ua/archive/16_2_2017ua/16.pdf (2017)
Restuccia, D., Tao Yang D., Zhu, X.: Agriculture and aggregate productivity: a quantitative cross-country analysis. J. Monet. Econ., 55(2), 234–250. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.561.4853&rep=rep1&type=pdf (2008)
Dharmasiri, L.M.: Measuring agricultural productivity using average productivity index (API). In: International Conference in XXVI th Indian Geographers, Bhopal, January 2006. https://www.researchgate.net/publication/248390836_MEASURING_AGRICULTURAL_PRODUCTIVITY_USING_AVERAGE_PRODUCTIVITY_INDEX_API (2006)
Gutierrez, L.: Why is agricultural labour productivity higher in some countries than others? Agricultural Economics Review, Greek Association of Agricultural Economists, 3(1), 1–15. https://ideas.repec.org/a/ags/aergaa/26431.html (2002)
Boghean, C., State, M.: Analysis of the factors affecting the average labour productivity variation in agriculture, forestry and fishing in Romania. USV Ann. Econ. Public Adm. 13(2)(18), 35–41. https://ideas.repec.org/a/scm/usvaep/v13y2013i2(18)p35-41.html (2013)
Zenka, J., Zufan, P., Krticka, L., Slach O.: Labour productivity of agricultural business companies and cooperatives in the Czech Republic: a micro-regional level analysis. Morav. Geogr. Rep. 4/2015, 23, 14–25. https://www.researchgate.net/publication/288839584_Labour_productivity_of_agricultural_business_companies_and_cooperatives_in_the_Czech_Republic_A_micro-regional_level_analysis (2015)
Novotna1, M., Volek, T.: The Significance of farm size in the evaluation of labour productivity in agriculture. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis Number 1, 2016, 64, 333–340. https://acta.mendelu.cz/media/pdf/actaun_2016064010333.pdf (2016)
Bin, P., Vassallo M.: The growth path of agricultural labor productivity in China: a latent growth curve model at the prefectural level. Econ., MDPI, Open Access J. 4(3), 1–20. https://ideas.repec.org/a/gam/jecomi/v4y2016i3p13-d73090.html (2016)
Polyzos, S., Arabatzis G.: Labor productivity of the agricultural sector in Greece: determinant factors and interregional differences analysis. Discuss. Pap. Ser. 11(12), 209–226. https://www.researchgate.net/publication/228638610_Labor_productivity_of_the_agricultural_sector_in_Greece_determinant_factors_and_interregional_differences_analysis (2006)
Herrendorf, B., Schoellman, T.: Why Is Agricultural Labor Productivity so Low in the United States? https://www.economicdynamics.org/meetpapers/2011/paper_1087.pdf (2011)
Andreica, M.E., Aparaschivei, L., Cristescu, A., Cataniciu N.: Models of the minimum wage impact upon employment, wages and prices: the romanian case. http://www.wseas.us/e-library/conferences/2010/Iasi/MCBEC/MCBEC-14.pdf (2010)
Ponomarenko, I.V.: Average Monthly Wage Forecast in Ukraine. Global and national problems of the economy, Mykolaiv V.O.Sukhomlynskyi National University, Issue 13, pp. 951–964. http://global-national.in.ua/archive/16-2017/190.pdf (2016)
Blanchard, O., Katz, L.F.: Wage dynamics: reconciling theory and evidence. Am. Econ. Rev. 89, 69–74. https://www.nber.org/papers/w6924 (1999)
Oliskevych, M.O.: Econometric analysis of the interrelations between labor market indicators in Ukraine Regional Business Economics and Management, vol. 2, pp. 24–29. http://nbuv.gov.ua/UJRN/Rbetu_2013_2_6. (2013)
Dupliak, O.M, Yedlichko, A.O.: Analysis approaches to modeling and forecasting wage. scientific herald of Uzhgorod National University, Series: International Economic Relations and World Economy, 6(1), 117–119. http://nbuv.gov.ua/UJRN/Nvuumevcg_2016_6%281%29_28 (2016)
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Prus, Y., Yavorska, T., Voronianska, O., Petryha, O. (2019). Analyses of Personnel Usage at Agricultural Enterprises. In: Nadykto, V. (eds) Modern Development Paths of Agricultural Production. Springer, Cham. https://doi.org/10.1007/978-3-030-14918-5_53
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