This paper is devoted to the construction of an econometric model for China's regions and the identification of the most significant factors for predicting the investment attractiveness of China's regions. Having determined the volume of investment in the region as an indicator of its investment attractiveness, a statistical analysis of the relationship between the volume of investment in the region and 10 indicators that characterize the socio-economic situation of the region, identified a group of statistically most significant indicators.This group includes the following factors: average per capita cash income in the current year, the cost of fixed assets in the current year, the amount of work performed by the type of activity "Construction" in the current year.
Original languageRussian
Pages (from-to)423-427
Journal ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ
Volume7
Issue number1
StatePublished - 2020
Externally publishedYes

    Research areas

  • gradual regression, investment attractiveness of regions, model, regression analysis, инвестиционная привлекательность регионов, модель, постепенная регрессия, регрессионный анализ

ID: 78568854