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DEVELOPMENT OF METHODOLOGY FOR STATISTICAL ANALYSIS OF FOOD SECURITY

https://doi.org/10.34023/2313-6383-2015-0-3-17-26

Abstract

In this article is reviewed the methodology of statistical analysis of food security as a means of enabling quantitative and qualitative characteristics of the sustainability of the national food system. Whereas, the author focuses on two sides of it (out of five set out in the «Rome Declaration on World Food Security»): stability, meaning that the national food system develops in an extended reproduction mode; the ability of national food system to minimize the vulnerability to, and impact of, climate and other fluctuations of the food supply of the population in all regions of the country. Sustainable production of basic foodstuffs within the borders of the Russian Federation can be evaluated by the results of the statistical analysis of coordination or asynchronous fluctuations in production by region of the Russian Federation, differences in the conditions of climatic characteristics in time and space. The author examines the dynamics of per capita grain production and its volatility for forty-four years in all regions, territories and republics of the Russian Federation, which, on one hand reflects the pattern in the sustainability of national food system, and, on the other hand, as applied to agriculture as a whole, reflects climatic variations. A system of statistical indicators to measure the level and dynamics of sustainable production in various forms of trends is proposed. Indicators of sustainability trends also indicate the presence of cycles (cycle stability).

About the Author

Vladimir Afanasev
Orenburg state university
Russian Federation


References

1. Афанасьев В.Н. Статистическое обеспечение проблемы устойчивости сельскохозяйственного производства. - М.: Финансы и статистика, 1996. - 320 с.

2. Афанасьев В.Н., Ким И.В. Агроэкономический анализ долговременного изучения климата и оптимизация структуры сельскохозяйственного производства на Южном Урале / Опыт и проблемы обеспечения продовольственной безопасности государства. Секция 2: АПК в системе продовольственной безопасности. Часть 11 / Материалы межрегиональной науч. - практ. конф. - Екатеринбург: изд-во Урал. ГСХА, 1998. С. 41-46.

3. Афанасьев В.Н., Юзбашев М.М. Анализ временных рядов и прогнозирование: Учебник. - М.: Финансы и статистика, 2001. - 228 с.

4. Афанасьев В.Н., Юзбашев М.М. Коэффициент корреляции рангов как показатель устойчивости динамики // Вестник статистики. 1983. № 11.

5. Каяйкина М.С. Статистические методы изучения динамики урожайности (на примере совхозов Ленинградской области). - Л., 1969.

6. Четвериков Н.С. Статистические и стохастические исследования. - М.: Госстатиздат, 1963.

7. Davidson R., MacKinnon J.G. Econometric theory and methods. New York: Oxford University Press, 2004. - 693 p.

8. Greene W.H. Econometric analysis. Fifth edition. New York: Pearson Education International, 2003. - 1026 p.

9. Offutt S., Blandford D. A review of empirical techniques for the analysis of commodity instability. Cornell university agricultural economic research, 83-7, 1983.


Review

For citations:


Afanasev V. DEVELOPMENT OF METHODOLOGY FOR STATISTICAL ANALYSIS OF FOOD SECURITY. Voprosy statistiki. 2015;(3):17-26. (In Russ.) https://doi.org/10.34023/2313-6383-2015-0-3-17-26

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ISSN 2313-6383 (Print)
ISSN 2658-5499 (Online)