Reflections on Sustainable Development Planning in the Agricultural Industry

  • Aigul TLESOVA Faculty of Economics Makhambet Utemisov West Kazakhstan State University, Kazakhstan
  • Saule PRIMBETOVA Faculty of Economics Makhambet Utemisov West Kazakhstan State University, Kazakhstan
  • Aigul KAZAMBAYEVA Faculty of Economics Zhangir khan West Kazakhstan Agrarian-Technical University, Kazakhstan
  • Saltanat YESSENGALIYEVA Faculty of Economics Zhangir khan West Kazakhstan Agrarian-Technical University, Kazakhstan
  • Farida MUKHAMBETKALIYEVA Faculty of Economics Makhambet Utemisov West Kazakhstan State University, Kazakhstan

Abstract

In the past few years, we have experienced a transition from the decades-long period of falling real prices of grains, and food more generally, to a new market environment in which commodity and food prices are higher, more volatile and more highly influenced by petroleum prices.


The problems of reaction for price volatility, both in the short- and long-run, are complex and multifaceted. Looking back at the 2007/08 crisis, countries responded through a spectrum of policies, but were largely unprepared, resulting in ad hoc and short-term mechanisms. Countries maintaining food reserves used these to intervene directly in the market to stabilize domestic prices. Many food importing countries reduced import tariffs, while several surplus producing countries limited, or even banned, exports in order to avoid food shortages and further domestic price increases. For whatever actions governments consider taking, it is always important to keep in mind the full set of policy measures, the wider risks and possible responses for the targeted population. The following suggests that choosing appropriate policies requires a deeper understanding of the issues at stake.


This paper analyses the various theoretical approaches to the planning of agricultural and food areas of Kazakhstan. The authors consider that the method of forecast scenarios is the most effective one.

References

[1] Armstrong, D. 2006. Long-term Forecasting: Principles and Techniques. London. 172-174.
[2] Belov, A. 2011. System forecasting of corporate structures development. Moscow. 65-69.
[3] Drucker, P. 2001. Management tasks in the 21st century. Williams. 272.
[4] Drucker, P. 2007. Management in the society of the future. Williams. 224.
[5] Fedoseev, B., and Garmash, A. 2010. Economic and mathematical methods and applied models. Moscow. 391
[6] Kenzheguzin, M., and Dodonov, V.Yu. 2009. Factor-target regulation of the economy (conceptual approaches). Almaty. 112.
[7] Kenzheguzin, M., and Kosmambetova, R. 2012. Factor-directed regulation of the economy: theory, methodology, mechanism. Almaty. 268.
[8] Medvedev, A. 2010. Methods of socio-economic forecasting. Moscow. 112-115.
[9] Mintsberg, G. 2011. Guidance on strategic positioning. St. Petersburg. 99-112.
[10] Morozova, T., and Pikulkina, V. 2010. Forecasting and planning in market conditions. Moscow. 163-171.
[11] Remi, P., and Emirson, K. 2006. Prediction and strategic planning: principles and practice of corporate governance. Minsk. 107-112.
[12] Statistical data on the development of agriculture. Available at: http://www.agr.gs.Ca
[13] Statistical data on the development of agriculture. Available at: http://www.fas.Usda.gov/grain
[14] Statistical data on the production of the main crops of agriculture. Available at: http://faostat.fao.org/site
[15] Steinbruner, R. 2006. Forecasting: Judgment under Uncertainty. Bloomington: Indiana University Press. 79-82.
[16] The main directions of monetary policy of the National Bank of Kazakhstan for 2017. Available at: www.nationalbank.kz
Published
2018-09-11
How to Cite
TLESOVA, Aigul et al. Reflections on Sustainable Development Planning in the Agricultural Industry. Journal of Environmental Management and Tourism, [S.l.], v. 9, n. 3, p. 591-598, sep. 2018. ISSN 2068-7729. Available at: <https://journals.aserspublishing.eu/jemt/article/view/2266>. Date accessed: 23 nov. 2024. doi: https://doi.org/10.14505//jemt.9.3(27).19.