VolRC RAS scientific journal (online edition)
07.12.202312.2023с 01.01.2023
Page views
* - daily average in the current month

Journal section "Territorial economy"

Forecasting the Dynamics of Industrial Production Indicators in the Region (Case Study of the Vologda Oblast)

Sokolova O.A., Sidorov M.A.

Volume 10, Issue 2, 2022

Sokolova O.A., Sidorov M.A. (2022). Forecasting the Dynamics of Industrial Production Indicators in the Region (Case Study of the Vologda Oblast). Territorial development issues, 10 (2). DOI: DOI: 10.15838/tdi.2022.2.62.2 URL: http://vtr.isert-ran.ru/article/29482?_lang=en

DOI: 10.15838/tdi.2022.2.62.2

Abstract   |   Authors   |   References
  1. Aitova Yu.S., Oreshnikov V.V. (2017) Use of economic-mathematical modeling in compiling the forecast of development of municipality. Vestnik NGIEI=Bulletin NGIEI, 10(77), 89–99 (in Russian).
  2. Bom P.R.D., Rachinger H. (2019). A kinked meta-regression model for publication bias correction. Res. Synth. Methods, 10(4), 497‒514.
  3. Growiec J. (2018). Factor-specific technology choice. Journal of Mathematical Economics, 77, 1‒14.
  4. Jadhav V., Reddy B.V. Gaddi G.M. (2017). Application of ARIMA model for forecasting agricultural prices. Journal of Agricultural Science and Technology, 19(5), 981–992.
  5. Kashintsev N.P. (2015). Neural network simulation of regional development as a tool of strategic management. Izvestiya VUZov. Seriya “Ekonomika, finansy i upravlenie proizvodstvom”=News of Higher Educational Institutions. The Series “Economics, Finance and Production Management”, 2(24), 141–152 (in Russian).
  6. Khalyava M.A., Erygin Yu.V. (2022). Modeling policy parameters impact modeling on the regional economy. Sotsial’no-ekonomicheskii i gumanitarnyi zhurnal Krasnoyarskogo GAU=Socio-Economic and Humanitarian Journal of the Krasnoyarsk State Agrarian University, 1, 59–72 (in Russian).
  7. Kinyakin V.N, Milevskaya Yu.S. (2014). Some precautions for quality assessment of regression model by means of determination coefficient. Vestnik Moskovskogo universiteta MVD Rossii=Vestnik of Moscow University of the Ministry of Internal Affairs of Russia, 8, 200–204 (in Russian).
  8. Klimenko A.I., Usenko L.N., Kholodova M.A. (2022). Predicting food security of the region in the context of food affordability. Melioratsiya i gidrotekhnika=Law Reclamation and Hydraulic Engineering, 12(1), 264–283. DOI: 10.31774/2712-9357-2022-12-1-264-283 (in Russian).
  9. Liu S., Papageorgiou L.G. (2019). Optimal antibody purification strategies using data-driven models. Engineering, 5(6), 1077‒1092.
  10. Lyaskovskaya E.A. (2022). Economic sustainability of an enterprise in the context of digital economy. Vestnik Yuzhno-Ural’skogo gosudarstvennogo universiteta. Seriya: Ekonomika i menedzhment=Bulletin of the South Ural State University. Ser. Economics and Management, 16(1), 87–99. DOI: 10.14529/em220108 (in Russian).
  11. Marchenko O.V., Burdakova G.I. (2019). Problems of forecasting indicators of socio-economic development of the municipality. BENEFICIUM, 3(32), 52–66 (in Russian).
  12. Mo X., Li H., Zhang L., Qu Z. (2020). A novel air quality evaluation paradigm based on the fuzzy comprehensive theory. Appl. Sci., 10(23), 8619.
  13. Motorin, V.A. (2015). Generalization of initial conditions in benchmarking of economic time-series by additive and proportional denton methods. Iranian Economic Review, 19(3), 251–264.
  14. Noskov S.I. (2022). Constructing a data-driven piecewise linear regression with internal uncertainty for the dependent variable. Vestnik kibernetiki=Proceedings in Cybernetics, 2(46), 61–65. DOI 10.34822/1999-7604-2022-2-61-65 (in Russian).
  15. Noskov S.I., Bychkov Yu.A. (2022). Modification of the continuous form of the maximu consistency method in constructing linear regression. Izvestiya Tul’skogo gosudarstvennogo universiteta. Tekhnicheskie nauki=Izvestiya Tula State University, 5, 88–94 (in Russian).
  16. Oreshnikov V.V., Aitova Yu.S. (2019). Application of economic and mathematical modeling methods when elaborating a municipality development strategy. Voprosy territorial’nogo razvitiya=Territorial Development Issues, 3(48), 1–13 (in Russian).
  17. Rybalkina Z.M., Tuskov A.A. (2018). Industrial development trends in the Russian Fewderation. Regional’naya ekonomika: teoriya i praktika=Regional Economy: Theory and Practice, 16(8), 1563–1575. DOI: 10.24891/re.16.8.1563 (in Russian).
  18. Tomal J.H., Ciborowski J.J.H. (2020). Ecological models for estimating breakpoints and prediction intervals. Ecol Evol, 10(23), 13500‒13517.
  19. Trufanova T.V., Neshchemenko K.D. (2019). Methods of forecasting the exchange rate based on exponential smoothing and Holt models. Vestnik AmGU, 87, 14–17 (in Russian).
  20. Trusova N.S. (2013). Forecasting the investment activity of the region. Sotsial’no-ekonomicheskie yavleniya i protsessy=Social-Economic Phenomena and Processes, 12(058), 119–124 (in Russian).
  21. Uskova T.V. et al. (2013). Sotsial’no-ekonomicheskie problemy lokal’nykh territorii: monografiya [Socio-Economic Problems of Local Territories: Monograph.]. Vologda: ISERT RAN.
  22. Yashin S.N., Soldatova Yu.S. (2015). Analysis of the relationship between stability of innovative development and economic condition of the metallurgical industry enterprises. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo. Seriya: Sotsial'nye nauki=Vestnik of Lobachevsky State University of Nizhni Novgorod. Series: Social Sciences, 3(39), 35–41 (in Russian).

Article views

all: , this year: , this month: , today:

Article downloads

all: , this year: , this month: , today: