Abstract:
Based on the systematization of relevant problems in the agricultural sector of Kazakhstan
and other countries, the purpose of the research is to aid in the development and implementation of a
methodology for the econometric analysis of sustainability, the classification of economic growth, and
an alternative strategy for gross value added depending on time phases with time lags of 0, 1, and
2 years, and on the gross fixed capital formation in the agricultural sector of Kazakhstan. The research
has used a variety of quantitative techniques, including the logistic growth difference equation,
applied statistics, econometric models, operations research, nonlinear mathematical programming
models, economic modeling simulations, and sustainability analysis. In the work on three criteria:
equilibrium, balanced and optimal growth, we have defined the main trends of growth of Gross
added value of agriculture, hunting and forestry. The first, depending on the time phases, the
second, depending on the Gross fixed capital formation transactions for equilibrium growth, for the
growth of an alternative strategy, for the endogenous growth rate and the growth of exogenous flows.
And we also received a classification of the trend of Productive, Moderate and Critical growth for
the agricultural industry depending on the correlated linkaged industry of the national economy
of Kazakhstan. The results of this work can be used in data analytics and artificial intelligence,
digital transformation and technology in agriculture, as well as in the areas of sustainability and
environmental impact.
