Arbeitspapier

Medidas Antidumping e poder de mercado na América Latina

This text aims to provide evidence regarding the adverse effects of anti-dumping measures on the competitive market strategies in different sectors of economic activity. To map firms' strategic behaviour, as well as the evolution of their market power, our empirical model consists of estimating the Lerner index as a mark-up measure. To reach our goal, we use the Orbis database, with firm-level data between 2006 and 2014. Such measures are generated considering a time window in which industries achieved antidumping protection and had their exports punished in foreign markets. On average, our results suggest a positive relationship between anti-dumping barriers and the increase in firms' market power. This pattern proves to be especially greater for Latin America when compared to other emerging economies. Moreover, the effects on market power are more substantial in the long run and, depending on the specification of the country set, null in the short run.

Sprache
Portugiesisch

Erschienen in
Series: Texto para Discussão ; No. 2651

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Firm Behavior: Empirical Analysis
Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
Trade Policy; International Trade Organizations
Thema
antidumping
Lerner's index
market competition
market power

Ereignis
Geistige Schöpfung
(wer)
Lourenço, Lucas dos Santos
Silveira, Douglas Sad
Oliveira, Glauco Avelino Sampaio
Ereignis
Veröffentlichung
(wer)
Instituto de Pesquisa Econômica Aplicada (IPEA)
(wo)
Brasília
(wann)
2021

DOI
doi:10.38116/td2651
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Lourenço, Lucas dos Santos
  • Silveira, Douglas Sad
  • Oliveira, Glauco Avelino Sampaio
  • Instituto de Pesquisa Econômica Aplicada (IPEA)

Entstanden

  • 2021

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