Production balance of the regional economy

The article is devoted to the creation of the material block of the Leontief input-output model. Its purpose is to reflect the activities of both production and trade enterprises, i.e., objects that create real GDP within each region of a particular territorial entity (including the entire economy of the Russian Federation). This activity involves the production/import of products on the territory of the region by all industries and its distribution among both manufacturing and commercial enterprises to ensure their functioning. In addition to displaying the trade part of these commodity flows, the novelty of the model is to take into account public procurement, the use, along with the standards of specific consumption of material resources/goods not only in production but also in trade. Formal relationships have also been developed between investment in scientific and technical development and the growth/reduction of resource costs for the production/sale of a unit of production. The model indicators are made up of parts - contributions from production and trade while having a multi-aspect representation, data sets of which are formed by annual, regional and industry sections, decomposed respectively into months, districts and corporations. This allows you to generate the necessary time series for calculations using hypercube data technology and implement them using 4GL generation languages. The model has relations that determine the desired values of its variable parameters based on economic growth including the saturation of the regional market with the products of the industry, an indicator of which is its consumption by the service sector. This indicator is greater than zero in the case of covering the needs of all other economic entities in the region and less than or equal to zero otherwise.

input-output model, direct cost coefficients, industry, service consumption sector, unit costs, share of technological overspending, share of technological savings

1. Schaffer W. A. Regional Impact Models. Morgantown: West Virginia University, 1999, 88 p. [Papers of the regional research Institute]

2. Pan H., Kohler J. Technological change in energy systems: Learning curves, logistic curves and input-output coefficients // Ecological economics, Amsterdam: Elsevier. 2007. P. 749-758.

3. Poole E. A Concise Description of Statistics Canada's Input-Output Models // Research Note of Canadian Journal of Regional Science. 1995. V. 18. P. 255-270.

4. Brocker J., Kancs A., SchUrmann С., Wegener M. Methodology for the assessment of spatial economic impacts of transport projects and policies // Reports of the Institute for spatial planning. University of Dortmund. 2002. V. 54. 95 p.

5. Bayerl N, Fritz O., Hierlander R., Streicher G. Exports, Services and Value Added - A National, International and Regional Analysis for Austria // FIWO Research Report № 008. Export of Services & Competitiveness. Wien: Austrian Institute of Economic Research, 2008. 93 p.

6. Forconi E., Maranzana С. A Multi-region Multi-sector model for the evaluation of Demographic and Economic Scenarios // Proc. SAS European Users Group International (SEUGI), 1998. P. 86-92.

7. de Vet B, Nijmeijer H. Constructing regional supply and use tables // A chapter in Book “Understanding and interpreting economic structure” / ed. by Sonis M., Hewings G. J. D., Maddan M., Kimura Y. Springer, 1999. P. 237-263.

8. NWT Input-Output Model: An Overview // Government of the Northwest Territories. Yellowknife: NWT Bureau of Statistics, 2006, 15 p.

9. Sargento A. L. M. Interregional trade estimation and input-output modelling based on total use rectangular tables // Regional input-output tables and models (Faculty of economics). University of Coimbra, 2009. 345 p.

10. Aydogu§ O, Deger Q., Qali§kan E. T., GUrel G. A Regional Input-Output Model for Izmir // Working Papers in Economics № 13/02. Project funded by IZKA (Izmir Kalkinma Ajansi, Izmir Development Agency). Izmir: Ege University, 2013. 26 p.

11. Ragwitz M, Schade W., BreitschoPf B, Walz R., Helfrich N., Rathmann M, Resch G., et all. The impact of renewable energy policy on economic growth and employment in the European Union: Final report. Karlsruhe: Ege University, 2013. 26 p.

12. Perese K. Input-output model analysis: Pricing carbon dioxide emissions // Working Paper Series (Tax Analysis Division). Washington: Congressional Budget Office, 2010. 43 p.

13. Cui C. X., Ha S. J., Hewings G., Turner K. Input-output analyses of the pollution content of intra-and inter-national trade flows // Stirling Economics Discussion, Paper № 08. Stirling Management School, University of Stirling, 2011. 32 p.

14. Gemechua E. D., Butnara I., Llopb M., Sangwonc S., Castells F. CO2 emissions embodied in international trade: A multiregional Input-output model for Spain // Center for Research in Industrial Economics and Public Economics (CREIP), collection documents the work of the department economics, Working paper № 16. Tarragona: Rovira i Virgili University, 2013. 24 p.

15. Druckman A., Bradley P., Papathanasopoulou E., Jackson T. Measuring progress towards carbon reduction in the UK // Ecological Economics. 2008. V. 66 (1). P. 594-604.

16. Meng B., Peters G., Wang Z. Tracing CO2 Emissions in Global Value Chains // Office of economics, working paper № 2014-12A. Washington: U.S. International Trade Commission, 2014. 77 p.

17. Hartner M. Methodology to estimate energy conservation potentials along the supply chains of products using input-output analysis // Report for Basque Institute of Competitiveness. Bilbao: University of Deusto, 2012. 20 p.

18. Arbex M., Perobelli F. S. Solow meets Leontief: Economic growth and energy consumption // Energy Economics. 2010. V. 32 (1). P. 43-53.

19. Avelino A. F. T., Hewings G. J. D., Guilhoto J. J. M. EPSIM - An integrated sequential interindustry model for energy planning: evaluating economic, electrical, environmental and health dimensions of new power plants // Munich Personal RePEc (Research Papers in Economics). Paper № 54370. Urbana-Champaign: University of Illinois. 27 p.

20. Lutz Ch., Meyer B., Wolter M. I., Giljum S. The GINFORS Model in the MOSUS Project: Model Description and Baseline Projection // International Journal of Global Environmental Issues. 2006. V. 5. P. 144-174.

21. Blam Yu. Sh., Buzulutskov V. F., Mashkina L. V., Kuleshov V. V., Suslov N. I. Methods for analyzing and forecasting complex hierarchical structures: systematic approach // System modeling and analysis of meso- and microeconomic objects. Novosibirsk: Institute of Economics and Industrial Engineering, 2014. P. 5-39.