Food security risk in Ukraine: assessment and forecast

Keywords: food security, integral index, food security risk, risk of reduction, forecast, elasticity index.


Purpose. The paper’s purpose is to analyze and predict the food security index in Ukraine and to estimate the risk level of its reduction.

Methodology / approach. The following models are used for forecasting: the Holts two-parameter model – to forecast the dynamics of caloric content of the daily diet and integral food security index; the ARIMA model – for modeling the food economic affordability. The autocorrelation function structure analysis is used to determine the adequacy of the models. The article discusses the procedure of assessing food security risk based on the properties of the econometric forecast error. The annual data of Ukraine were used for assessing the forecasts for the time interval between 1995 and 2018.

Results. The paper presents the results of predicting the food security index in the context of macroeconomic instability. The trend (deterministic) and random components for the level of calorie consumption are revealed. The forecast of food availability is presented. The forecast estimates of the Food Security Index of Ukraine for the period up to 2022 are considered. The assessment of price elasticities, household incomes and inflation for basic food products is made. As a result of assessing the level of macroeconomic instability, the structural elements of food security for Ukraine were identified. The article assesses the dynamics of changes in consumption of certain commodity items of foodstuff as components of food security. There is a creation of an alternative methodology for forecasting individual economic indices in the absence of stable trends in the economy of the country based on the use of econometric analysis proposed in the research. It substantiates the use of multi-step methods of forecasting economic indices. It is proved that the integrated forecast of the food security index of Ukraine is in satisfactory state and shows a slight upward trend during the period 2020–2022, but the risks of a decline in the integral index are somewhere beyond satisfactory.

Originality / scientific novelty. The results of the individual food security indices forecast, and the integral Food Security Index of Ukraine analysis it is possible to state a satisfactory condition that is unlikely to change in the near future. The alternative forecasting method for individual economic parameters in conditions of the unstable national economy trends is firstly proposed.

Practical value / implications. The reported forecast values indicate a decrease in the adequacy of consumption for most foodstuffs. This is most pronounced for the consumption of products of animal origin, which are far from the norm. The non-structural forecasts indicate current trends in the state of food security, which will persist if the impact on the food system by the general state of the country's economy remains unchanged. The main results of the study can be used to estimate the food affordability risks and risks of health deterioration for the population.


Alekseeva, Y. (2015), Measures of state regulation of food security. Efficacy Public Administration, vol. 42, рр. 100–107.

Bahorka, M. (2019), Formation of the ecological-economical management of ecologization of agrarian production. Agricultural and Resource Economics, vol. 5, no. 1, pp. 5–18, available at:

Chan, N. H. (2010), Time series applications to finance with R and S-Plus, 2nd ed, John Wiley & Sons, Hoboken, New Jersey, USA.

Ericksen, P. J., Ingram, J. S. I., and Liverman, D. M. (2009), Food security and global environmental change: emerging challenges. Environmental Science & Policy, vol. 12, is. 4, pp. 373–377.

FAO (2006), Food safety risk analysis. A guide for national food safety authorities. FAO food and nutrition, FAO, Rome, Italy, available at:

FAO (2020), The state of food security and nutrition in the world 2020. Transforming food systems for affordable healthy diets, available at:

Fischer, G., Shah, M. and Velthuizen, H. (2002), Report of the “Climate change and agricultural vulnerability”. International Institute for Applied Systems Analysis, Johannesburg, RSA, available at:

GFSI (2019), Global food security index 2019. Strengthening food systems and the environment through innovation and investment, available at:

Gregory, P., Ingram, J. and Brklacich, M. (2005), Climate change and food security. Philosophical Transactions of the Royal Society Biological Sciences, vol. 360, is. 1463, pp. 2139–2148.

Havas, K. and Salman, M. (2011), Food security: its components and challenges. International Journal of Food Safety, Nutrition and Public Health, vol. 4, is. 1, pp. 4–11.

Hazell, P. and Wood, S. (2008), Drivers of change in global agriculture. Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 363, is. 1491, pp. 495–515.

Ingram, J. (2011), A food systems approach to researching food security and its interactions with global environmental change. Food Security, vol. 3, pp. 417–431.

Ingram, J. (2020), Nutrition security is more than food security. Nature Food, vol. 1, is. 2.

Johnson, A., Boehlje, M. and Gunderson, M. (2017), Agricultural credit risk and the macroeconomy: determinants of farm credit Mid-America PD migrations. Agricultural Finance Review, vol. 77, is. 1, pp. 164–180.

Jones, A., Ngure, F., Pelto, G. and Young, S. (2013), What are we assessing when we measure food security? A compendium and review of current metrics. Advances in Nutrition: An International Review Journal, vol. 4, is. 5, pp. 481–505.

Kadiyevskyy, V. and Klymenko, N. (2014), Systemic vision of ecological and economic interaction of land use factors in modern agrosphere. Actual Problems of Economics, vol. 152, is. 2, pp. 313–320.

Kaletnik, G., Shubravska, O., Ibatullin, M. et al. (2019), Features of Food Security of the Country in Conditions of Economic Instability. International Journal of Management and Business Research, vol. 9, is. 4, pp. 176–186.

Ledolter, J. (2011), Prediction and forecasting in Encyclopedia of Statistical Sciences. John Wiley & Sons, Inc., USA.

Parry, M., Rosenzweig, C., Iglesias, A., Fischer, G. and Livermore, M. (1999), Climate change and world food security: a new assessment. Global Environmental Change, vol. 9, pp. 51–67.

Pingali, P., Alinovi, L. and Sutton, J. (2005), Food Security in complex emergencies: enhancing food system resilience. Disasters, vol. 29, spec. is. 1: Food security in complex emergencies, pp. S5–S24.

Report of the World Food Summit (1996) Food and agriculture organization of the United Nations, 13–17 November 1996. FAO, Rome, Italy, available at:

Skrypnyk A., Klymenko, N., Talavyria, M., Goray, A. and Namiasenko, Y. (2019), Bioenergetic potential assessment of the agricultural sector of the Ukrainian economy. International Journal of Energy Sector Management, vol. 14, no. 2, pp. 468–481.

State Statistics Service of Ukraine (2019), Sil's'ke hospodarstvo Ukrainy 2018. Statystychnyj zbirnyk [Agriculture of Ukraine 2018. Statistical yearbook], State Statistics Service of Ukraine, Кyiv, Ukraine.

Vasylieva, N. (2018), Assessment of regional food security in Ukraine. Efektyvna ekonomika, vol. 7, available at:

Wiesmann, D. (2006), A Global Hunger Index: measurement concept, ranking of countries, and trends. FCND Discussion Paper 212. International Food Policy Research Institute, USA. 121 p.

World Food Summit (1996), Rome Declaration on World Food Security, available at: Food_Security_Cocept_Note.pdf.

How to Cite
Voronenko, I., Skrypnyk, A., Klymenko, N., Zherlitsyn, D., & Starychenko, Y. (2020). Food security risk in Ukraine: assessment and forecast. Agricultural and Resource Economics: International Scientific E-Journal, 6(4), 63-75.

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