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Economic Analysis of Grain Product Metrics

Author

Listed:
  • Uteulin, Valentin
  • Lukhmanova, Gulnar
  • Lemechshenko, Olessya
  • Bleutayeva, Kulzhamal
  • Murzabekova, Baglan

Abstract

The study aims to analyse the key factors affecting grain production in Kazakhstan to develop recommendations for improving the efficiency and sustainability of the agricultural sector. Statistical methods and econometric modelling techniques were used, including the least squares method with heteroscedasticity and autocorrelation robust errors and autoregression with external factors for time series analysis. These methods were used to estimate the impact of various internal and external factors on the gross grain harvest. The analysis demonstrated that grain yields depend on a variety of factors, such as innovations in agricultural technology, climatic conditions and economic policy. The identified factors were grouped with measurable indicators for each, which became the basis for building models. The study determined that the autoregressive model is more suitable for describing the impact on the dependent variable – grain harvest. The most influential indicators are yields and research and development costs. The results of the study can be used to adjust agricultural policy and strategies for agricultural development in Kazakhstan. Proposals for optimising land use and integrating modern agricultural technologies will increase productivity and reduce the impact of negative factors.

Suggested Citation

  • Uteulin, Valentin & Lukhmanova, Gulnar & Lemechshenko, Olessya & Bleutayeva, Kulzhamal & Murzabekova, Baglan, . "Economic Analysis of Grain Product Metrics," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 17(2).
    • Handle: RePEc:ags:aolpei:364707
    DOI: 10.22004/ag.econ.364707
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    References listed on IDEAS

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    1. Mistry, Malcolm N. & Wing, Ian Sue & De Cian, Enrica, "undated". "Simulated vs. Empirical Weather Responsiveness of Crop Yields: U.S. Evidence and Implications for the Agricultural Impacts of Climate Change," EIA: Climate Change: Economic Impacts and Adaptation 263480, Fondazione Eni Enrico Mattei (FEEM).
    2. Ayan Orazov & Liudmila Nadtochii & Kazybay Bozymov & Mariam Muradova & Araigul Zhumayeva, 2021. "Role of Camel Husbandry in Food Security of the Republic of Kazakhstan," Agriculture, MDPI, vol. 11(7), pages 1-16, June.
    3. Larisa Marmul & Liudmyla Levaieva & Natalya Runcheva, 2020. "Investment in environmentalization and comprehensive programs for development of the grain industry," University Economic Bulletin, Hryhorii Skovoroda University in Pereiaslav, Faculty of Financial, Economic and Vocational Education, issue 46, pages 31-37, September.
    4. Wang, Zhaozhi & Zhang, T.Q. & Tan, C.S. & Xue, Lulin & Bukovsky, Melissa & Qi, Z.M., 2021. "Modeling impacts of climate change on crop yield and phosphorus loss in a subsurface drained field of Lake Erie region, Canada," Agricultural Systems, Elsevier, vol. 190(C).
    5. Olena Serhiienko & Maryna Tatar & Lidiya Guryanova & Olena Shapran & Mykhailo Bril, 2023. "Improvement of Financial Instruments of the Agricultural Sector and Food Security Efficiency Increasing," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 115-142.
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