### MODELING THE SPECIFIC EMISSION OF СО2 IN AGRICULTURE OF RUSSIAN REGIONS

**DOI 10.32651/239-105**

**Issue № 9,
2023**, article № 15, pages 105-111

Section: **Problems of agroeconomic researches**

**Language:** Russian

**Original language title:** МОДЕЛИРОВАНИЕ УДЕЛЬНОЙ ЭМИССИИ СО2 В СЕЛЬСКОМ ХОЗЯЙСТВЕ РЕГИОНОВ РОССИИ

**Keywords:**
SOIL CARBON DIOXIDE EMISSION, REGIONAL CLIMATE, MULTIFACTOR MODEL, PRODUCTS OF CROP PRODUCTION, SOIL TYPES, AGRICULTURAL LAND CATEGORIES

**Abstract**: *The resulting function in the form of a work of indicative functions of factors on which this function depends is used for modeling, analysis and forecast of the emission of СО2. The well-known equation of Kobba-Douglas is a special case of the resulting resulting function. The multiple index equation used in statistics is a different particular case of this resulting function for indicators of an equal degree of 1. The noted resulting function has the property of unfolding when logarithming into the system of linear algebraic equations, which has a solution in the presence of statistics on each factor in the amount of N values where: N is the number of factors on which the resulting function depends. This is 7-8 times less than the volume of statistical data necessary for compiling a standard multiple regression equation. The models use regional ratios between the estimates of the emission of СО2 per 1 ha of the land area for various types of soils, categories of land and various village and constructures, and hydrothermal parameters of the regions. Unlike our previous studies, the article discusses a modified model taking into account the category of agricultural land in the region: cultivated lands, permanent hayfields and pastures. At the first stage of modeling, the coefficients are searched for the dependence of the assessments of the emission of СО2 on the factors under consideration. At the second stage, tables are filled with evaluations of emission in regions for different cultures, types of soils and categories of land and a standard equation of multiple linear regression is compiled.*

**Authors**:
**Sobolev Oleg Serafimovich**