Print ISSN: 2204-1990

Online ISSN: 1323-6903

Keywords : agricultural infrastructure


Methodological bases for assessing the level of innovative development of agriculture and its service infrastructure activities

SAYYORA NASIMOVNA KHAMRAEVA; MUNISA YULCHIYEVNA ALIMOVA

Journal of Contemporary Issues in Business and Government, 2021, Volume 27, Issue 2, Pages 4062-4068
DOI: 10.47750/cibg.2021.27.02.420

The article examines methods for assessing the level of innovative development of agriculture and its ervice infrastructure sectors. In the process of development, the innovative development of the infrastructure that serves it is scientifically justified. Uzbekistan has developed a conceptual model for the formation and development of innovative infrastructure in the agricultural sector, taking into account the conditions and factors of innovation policy. The effectiveness of innovative infrastructure in agriculture is considered in terms of strategic, economic, and social effectiveness, from the point of view of state and territorial authorities, economic entities in agriculture, and entities receiving innovative infrastructure. The methodology for determining the impact of innovative development of agriculture and its service infrastructure on efficiency has also been improved.

Forecasting innovative development of infrastructure providing services to agriculture

SAYYORA NASIMOVNA KHAMRAEVA

Journal of Contemporary Issues in Business and Government, 2021, Volume 27, Issue 2, Pages 4037-4045
DOI: 10.47750/cibg.2021.27.02.416

The article is devoted to the analysis of the innovative development of agriculture and its infrastructure services through mathematical materials and the development of prospects.The results of the multifactor econometric model were developed using statistical data and Eviews software. According to the results of the obtained econometric model, the influence of factors on changes in the volume of infrastructure services provided to agriculture was determined. Also, on the basis of the developed trend models, the forecast parameters of the volume of agricultural infrastructure services, gross agricultural output, the number of machine-tractor parks and zoo-veterinary stations until 2023 were determined.