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Investments in Agricultural Machinery and Its Efficiency in Ukraine

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  • Stavytskyy Andriy
  • Prokopenko Oleksandra

    (Taras Shevchenko National University of Kyiv, 03022,Kyiv, Vasylkivska str, 90 A, Ukraine)

Abstract

One of the major conditions of effective agriculture production is sufficient farm mechanization. However, the unstable economic situation in Ukraine, combined with bureaucratic problems, an unstable currency exchange rate, and sharply changed trade routes (which has caused major losses to a number of farms and traders working with the Custom Union) created significant obstacles for investing in machinery in Ukraine. It is especially topical for small and medium farms that usually function in poor economic conditions without any adequate access to the credit market. Consequently, Ukrainian agriculture producers often have an inadequate mechanization rate. As a result, the productivity of Ukrainian farms is significantly lower as compared to other countries that have similar natural conditions in terms of temperatures, precipitation and quality of agricultural lands. A no less important problem is the lack of awareness of small and medium farms, which may not realize the effect that investment has in agriculture machinery. Thus, in order to provide specific numbers for potential investors and prove the efficiency of this fund placement, an expected direct economic effect from machinery investment (as an increased profit from higher yield) was estimated. The first step was to define those types of agricultural machinery that have significant impact on the yield and productivity levels for each of the most important crop types: grain, oil crops, vegetables, fruits, etc. Then, an impact of additional investment in various machinery means on crops yield was estimated. Finally, based on fixed prices and a discount rate, an expected additional profit generated by newly purchased machinery on an average farm was estimated. The model proved especially high profitability of investment in such machinery as ploughs, fertilizers spreaders, harvesters, tractors, and machines for irrigation - most of them are paid off (on a land parcel with area around 2000 ha) in three years or less.

Suggested Citation

  • Stavytskyy Andriy & Prokopenko Oleksandra, 2017. "Investments in Agricultural Machinery and Its Efficiency in Ukraine," Ekonomika (Economics), Sciendo, vol. 96(1), pages 113-130, January.
  • Handle: RePEc:vrs:ekonom:v:96:y:2017:i:1:p:113-130:n:7
    DOI: 10.15388/ekon.2017.1.10667
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    References listed on IDEAS

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    1. Wang, Sun Ling & Heisey, Paul & Schimmelpfennig, David & Ball, Eldon, 2015. "Agricultural Productivity Growth in the United States: Measurement, Trends, and Drivers," Economic Research Report 207954, United States Department of Agriculture, Economic Research Service.
    2. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    3. Mathew, Thomas, 1989. "MANOVA in the multivariate components of variance model," Journal of Multivariate Analysis, Elsevier, vol. 29(1), pages 30-38, April.
    4. Singh, Gajendra, 2015. "Agricultural Mechanisation Development in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 70(1), pages 1-19.
    5. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, September.
    6. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
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