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ЖУРНАЛЫ // Сибирские электронные математические известия // Архив

Сиб. электрон. матем. изв., 2022, том 19, выпуск 2, страницы 835–851 (Mi semr1543)

Эта публикация цитируется в 1 статье

Вычислительная математика

Nonlinear input-output balance and Young duality: analysis of Covid-19 macroeconomic impact on Kazakhstan

A. Boranbayeva, N. Obrosovabcd, A. Shananincdb

a Nazarbayev University, 53 Kabanbay Batyr Ave., 010000, Astana, Kazakhstan
b Moscow Center for Fundamental and Applied Mathematics, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991, Moscow, Russian Federation
c Federal Research Center «Computer Science and Control» of Russian Academy of Sciences, Vavilov Street 44/2, 119333, Moscow, Russian Federation
d Moscow Institute of Physics and Technology (State University), Institutskiy per. 9, 141701, Dolgoprudny, Moscow region, Russian Federation

Аннотация: We discuss the possibilities of the new approach to the inter-industry linkages modeling for the analysis of regional macroeconomic effects of Covid-19. Our approach is based on the mathematical framework of nonlinear input-output balance that allows to find the equilibrium point in the set of industry inputs and prices by solving the primal nonlinear resource allocation problem and the Young dual problem of prices formation. We identify and calibrate the model on the base of aggregated official input-output statistics of Kazakhstan. Given the scenario conditions for primal factors prices and final consumption in the economy the model allows to evaluate the new competitive equilibrium in the production network. The advantage of the model is non-linearity of balances and technologies that allows substitution of industry inputs. In the case of technologies with constant elasticity of substitution (CES) we apply the model to analysis of macroeconomic responses of the Kazakhstan economy to the Covid-19 pandemic.

Ключевые слова: resource allocation problem, Young duality, Covid-19 macroeconomic shocks, input-output table, supply network.

УДК: 519.86

MSC: 46N10

Поступила 17 октября 2022 г., опубликована 11 ноября 2022 г.

Язык публикации: английский

DOI: 10.33048/semi.2022.19.070



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