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https://elib.bsu.by/handle/123456789/291852Полная запись метаданных
| Поле DC | Значение | Язык |
|---|---|---|
| dc.contributor.author | Pranevich, A. F. | |
| dc.contributor.author | Khatskevich, G. A. | |
| dc.date.accessioned | 2023-01-13T09:38:35Z | - |
| dc.date.available | 2023-01-13T09:38:35Z | - |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – Pp. 172-175. | |
| dc.identifier.isbn | 978-985-881-420-5 | |
| dc.identifier.uri | https://elib.bsu.by/handle/123456789/291852 | - |
| dc.description.abstract | In this article, we consider dynamic three-factor production functions. Notions of Hicks neutral technological progress of the first (second, third) type for dynamic three-factor production functions are introduced. Analytical forms of dynamic three-factor production functions with Hicks neutral technological progress of the first (second, third) type are described. The results may be useful in economic modeling of production at the regional and country levels | |
| dc.description.sponsorship | This research was supported by Belarusian State Program of Scientific Research ”Society and Humanitarian Security of the Belarusian State” (Project ”Development and application of econometric models for the development of small and medium-sized enterprises in regions for the analysis and forecasting of production and export of goods and services”, No. GR 20211753) | |
| dc.language.iso | en | |
| dc.publisher | Minsk : BSU | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика | |
| dc.title | Dynamic three-factor production functions with hicks-neutral technological progress | |
| dc.type | conference paper | |
| Располагается в коллекциях: | 2022. Computer Data Analysis and Modeling: Stochastics and Data Science | |
Полный текст документа:
| Файл | Описание | Размер | Формат | |
|---|---|---|---|---|
| 172-175.pdf | 300,07 kB | Adobe PDF | Открыть |
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