Forecast of Development of the Agricultural Sector and the Economy of Kirovohrad Region in Terms of Climate Change

The purpose of the article is to develop and substantiate a model for predicting the dynamics of the gross regional product of the Kirovograd region, which assumes an assessment of the state of development of agricultural production and the volume of development of capital investments in agriculture, forestry and fisheries. The peculiarity of forecasting at the regional level is the need to take into account the available innovative potential, exogenous, and endogenous factors of influence. For forecasting, it is advisable to identify an analytical dependence, to construct a regression space-time model. The factors of development of the agrarian sector of the economy that affect the dynamics of the gross regional product are determined. The forecast of the gross regional product has been carried out, taking into account the analysis of the impact of the volume of development of capital investments in agriculture and the variability of agricultural production in the face of climate change. By results of researches on the basis of application of a method of econometric modeling the methodical approach to construction of model of forecasting of a total regional product is developed. The essence of the proposed approach is based on a combination of multifactor forecasting methods and the production function tool.