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Econometric methods for solving problems of analysis and forecasting dynamics of yield of agricultural crops
Author(s) -
Sh Rakhmanov,
Tolibjon Turgunov,
Zokhid Kusharov,
A. A. Mengnorov
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/614/1/012165
Subject(s) - econometric model , agriculture , profitability index , productivity , economics , production (economics) , identification (biology) , yield (engineering) , agricultural productivity , agricultural economics , econometrics , industrial organization , microeconomics , macroeconomics , ecology , botany , materials science , finance , metallurgy , biology
This article is devoted to the use of limited resources in agricultural production, forecasting profitability and productivity, improving the integration of agricultural enterprises, analyzing the results of factors-dependent, using economic-mathematical and econometric (additive, multiplicative and multiple (proportional)) models, econometric studies based on the application of econometric methods for planning and forecasting agro-economic development of agriculture, and also search for new scientific approaches to agroeconomic forecasting. The range of key objectives of agro-economic forecasting is defined, that is, determining the level of satisfaction of demand for agricultural products in the near future, as well as creating an effective production management system and ensuring sustainable economic development, and its relationship with industry and other sectors in the region. The optimal solutions are achieved due to higher economic identification of factors and sources of economic growth, systematic analysis of conditions in the implementation of an integrated approach in economic processes.

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