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Investments in R&D in Monopolistic Competitive Trade Model. / Bykadorov, Igor.

Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings. ред. / Alexander Kononov; Michael Khachay; Valery A. Kalyagin; Panos Pardalos. Springer Gabler, 2020. стр. 170-183 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12095 LNCS).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Bykadorov, I 2020, Investments in R&D in Monopolistic Competitive Trade Model. в A Kononov, M Khachay, VA Kalyagin & P Pardalos (ред.), Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 12095 LNCS, Springer Gabler, стр. 170-183, 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, Novosibirsk, Российская Федерация, 06.07.2020. https://doi.org/10.1007/978-3-030-49988-4_12

APA

Bykadorov, I. (2020). Investments in R&D in Monopolistic Competitive Trade Model. в A. Kononov, M. Khachay, V. A. Kalyagin, & P. Pardalos (Ред.), Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings (стр. 170-183). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12095 LNCS). Springer Gabler. https://doi.org/10.1007/978-3-030-49988-4_12

Vancouver

Bykadorov I. Investments in R&D in Monopolistic Competitive Trade Model. в Kononov A, Khachay M, Kalyagin VA, Pardalos P, Редакторы, Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings. Springer Gabler. 2020. стр. 170-183. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-49988-4_12

Author

Bykadorov, Igor. / Investments in R&D in Monopolistic Competitive Trade Model. Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings. Редактор / Alexander Kononov ; Michael Khachay ; Valery A. Kalyagin ; Panos Pardalos. Springer Gabler, 2020. стр. 170-183 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{354e5d0ced5647e595a160b2e3f52437,
title = "Investments in R&D in Monopolistic Competitive Trade Model",
abstract = "We study a monopolistic competition model in the open economy case. The utility of consumers are additive separable. The producers can choose technology (R&D) endogenously. We examine the local comparative statics of market equilibrium with respect to trade costs (of iceberg type). Our main finding is the following: increasing trade costs has opposite impacts on mass of firms and productivity. Moreover, we study the cases of small trade costs and symmetric (on numbers of consumers) countries.",
keywords = "Comparative statics, Dixit-Stiglitz-Krugman model, Endogenous choice of technology, Market equilibrium",
author = "Igor Bykadorov",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-49988-4_12",
language = "English",
isbn = "9783030499877",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Gabler",
pages = "170--183",
editor = "Alexander Kononov and Michael Khachay and Kalyagin, {Valery A.} and Panos Pardalos",
booktitle = "Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings",
address = "Germany",
note = "19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020 ; Conference date: 06-07-2020 Through 10-07-2020",

}

RIS

TY - GEN

T1 - Investments in R&D in Monopolistic Competitive Trade Model

AU - Bykadorov, Igor

PY - 2020/1/1

Y1 - 2020/1/1

N2 - We study a monopolistic competition model in the open economy case. The utility of consumers are additive separable. The producers can choose technology (R&D) endogenously. We examine the local comparative statics of market equilibrium with respect to trade costs (of iceberg type). Our main finding is the following: increasing trade costs has opposite impacts on mass of firms and productivity. Moreover, we study the cases of small trade costs and symmetric (on numbers of consumers) countries.

AB - We study a monopolistic competition model in the open economy case. The utility of consumers are additive separable. The producers can choose technology (R&D) endogenously. We examine the local comparative statics of market equilibrium with respect to trade costs (of iceberg type). Our main finding is the following: increasing trade costs has opposite impacts on mass of firms and productivity. Moreover, we study the cases of small trade costs and symmetric (on numbers of consumers) countries.

KW - Comparative statics

KW - Dixit-Stiglitz-Krugman model

KW - Endogenous choice of technology

KW - Market equilibrium

UR - http://www.scopus.com/inward/record.url?scp=85087749828&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-49988-4_12

DO - 10.1007/978-3-030-49988-4_12

M3 - Conference contribution

AN - SCOPUS:85087749828

SN - 9783030499877

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 170

EP - 183

BT - Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings

A2 - Kononov, Alexander

A2 - Khachay, Michael

A2 - Kalyagin, Valery A.

A2 - Pardalos, Panos

PB - Springer Gabler

T2 - 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020

Y2 - 6 July 2020 through 10 July 2020

ER -

ID: 24735956