Methodological Approaches to the Formation of the Applied Models for Panel Data Analysis to Forecast the Resource Region Economic Development under Conditions of Spatial Asymmetry (Exemplified by the Krasnoyarsk Territory)
Bibliographic Data
| ID | 2974060 |
|---|---|
| Authors | Natalia V Nepomnyaschaya (Siberian Federal University), Anna R Semenova (Siberian Federal University, corresponding author) |
| Year | 2016 |
| Pages | 2632-2639 |
| Publication date | 2016-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Siberian Federal University Humanities & Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 1997-1370 • E-ISSN: 2313-6014 |
| Publisher | Siberian Federal University (PUBLISHER • RU) |
| DOI | 10.17516/1997-1370-2016-9-11-2632-2639 |
| OpenAlex | W2558628896 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
Through the example of the Krasnoyarsk Territory, the longitudes formation for forming and \nprocessing of the dynamic information decision-making database on the basis of the panel regional \nstudies of the economic indicators for the representative at the subregional level samples, based on \nthe official statistical information available on the portal of the Territorial Authority of the Federal \nState Statistics Service for the Krasnoyarsk Territory, is studied in the article. This approach gives \nan opportunity to study spatial development of the economy of the region as a whole as well as its \nindividual components – the municipalities, and to assess the effect of individual administrative \ndecisions influence on the level of the region development and system changes. This paper gives a \nrationale for the use of the panel data analysis techniques by the means of the regression model with \ndeterministic effects for forecasting economic growth of the region under conditions of the spatial \nasymmetry, and the obtained adequate model is presented
Asymmetry · Econometrics · Economic geography · Economics · Geography · Panel data · Physics · Regional science · Resource (disambiguation · Computer Science · Engineering and Environmental Studies · Environmental Sustainability and Technology · Geochemistry and Geologic Mapping
| Citations per year | 0.14 |
|---|---|
| Citation span | 2019 - 2019 (1) |
| Highly cited | No |