Learning-by-exporting vs. self-selection in Ecuadorian manufacturing firms: Evidence from different industry classifications

Camino‐Mogro, Segundo; Ordeñana, Xavier; Vera-Gilces, Paúl

doi:10.1080/09638199.2022.2094451

Cited by 5 publications

(14 citation statements)

References 68 publications

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“…Again, importing firms engaged in innovative industries have the largest gains from importing. Also, we find strong persistence in 26 This evidence is similar to the results found by Camino-Mogro et al (2022), who suggest that firms that operate in innovative sectors are likely to have higher static and dynamic effects in productivity because of exporting than firms involved in less innovative sectors. the evolution of productivity in all the industries: ρ ranges from .844 to .858.…”

Section: Scale-intensivesupporting

confidence: 85%

“…Following Rodrigue (2008), Camino-Mogro and and Camino-Mogro et al (2022), we take logarithms of our production function 7 and include discrete import and export variables, which suggests the use of imported intermediates and the decision to export in the production process. The relevant expression to be estimated is:…”

Section: Empirical Model and Estimation Methodsmentioning

confidence: 99%

“…The main indicator for considering the firm's past import activities an additional state variable in the firm's import decision is the existence of sunk costs linked to importing intermediates (Máñez-Castillejo, Mínguez Bosque, et al, 2020;Kasahara & Lapham, 2013). In addition, the underlying hypothesis that justifies including x it as an additional state variable is that the contemporaneous export decision at time t is not reversible once the productivity shock occurs, and also that the past export decision affects the law of motion of productivity (Camino-Mogro et al, 2022;. Therefore, the demand function of the material is given as Zhang (2017) in section 3.4 and Máñez-Castillejo, Rochina-Barrachina and Sanchis (2020) in section 3.2 mention other reasons why it is necessary to include the import and export decisions as state variables and the past export and import decisions in the endogenous Markov process.…”

Section: Empirical Model and Estimation Methodsmentioning

confidence: 99%

“…Camino-Mogro et al (2022) use a similar approach for testing the learning-by-exporting hypothesis. Moreover, this approach is only used as a robustness of our main specification in Equations (1) and (2).…”

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confidence: 99%

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Do imports of intermediate inputs generate higher productivity? Evidence from Ecuadorian manufacturing firms

Camino‐Mogro

Carrillo‐Maldonado

2022

World Economy

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Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license.Following a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail.Note that link provided above includes additional terms and conditions of the license.The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the Inter-American Development Bank, its Board of Directors, or the countries they represent.

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Section: Scale-intensivesupporting

confidence: 85%

Section: Empirical Model and Estimation Methodsmentioning

confidence: 99%

Section: Empirical Model and Estimation Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Do imports of intermediate inputs generate higher productivity? Evidence from Ecuadorian manufacturing firms

Camino‐Mogro

Carrillo‐Maldonado

2022

World Economy

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“…Thus, when firms export, they innovate, that in turn, causes positive variations in productivity for both the manufacturing sector and the services sector (De Fuentes et al ., 2019). Exports allow companies to have greater availability of economic resources, to be more competent and productive (Camino-Mogro et al ., 2022; Martins et al ., 2018). Through exports, economies of scale can be exploited and boosted.…”

Section: Literature Reviewmentioning

confidence: 99%

Productivity determinants in the service industry: differences between high and low knowledge intensive sectors

Guevara-Rosero

Carrión-Cauja²,

Simbaña-Landeta³

et al. 2023

ARLA

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PurposeThe service industry has become an important sector for the economic growth, particularly in developing countries. In this context, the aim of this article is to compare the productivity determinants across firms operating in low and high knowledge intensity service sectors (low knowledge intensive sectors (LKIS) and high knowledge intensive sectors (HKIS)) in Ecuador.Design/methodology/approachThe authors use a two-step estimation method. The firm productivity is estimated in the first step and the productivity determinants in the second step. To achieve the objective, the authors use an unbalanced panel database on the financial statements from formal Ecuadorian firms for the period 2007–2018.FindingsThe authors’ results show that LKIS firms are slightly more labor-intensive compared to HKIS firms. Productivity determinants are similar across HKIS and LKIS firms, except for exports and market concentration. HKIS firms are more productive when the competition level is low, indicating that higher market power is associated with higher productivity. The influence of taxes on productivity depends on firm size. Small and medium-sized firms are more negatively affected than large firms.Practical implicationsTaxes should be designed considering the size of the companies, since these could affect their productivity. Thus, lower taxes to small and medium firms may reduce firm size inequality. In addition, the acquired knowledge of HKIS should be spread to other firms becoming a positive externality instead of an entry barrier.Originality/valueDespite the productivity determinants of the service sector has been recently explored, in contrast to the manufacturing sector, individual and contextual determinants are less identified. In this paper the authors use a large set of firm characteristics that might affect productivity in service firms.

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Exports, productivity and capital intensity: Evidence for Brazilian firms

Casagrande,

Hidalgo,

Feistel

2024

Structural Change and Economic Dynamics

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Learning-by-exporting vs. self-selection in Ecuadorian manufacturing firms: Evidence from different industry classifications

Cited by 5 publications

References 68 publications

Do imports of intermediate inputs generate higher productivity? Evidence from Ecuadorian manufacturing firms

Do imports of intermediate inputs generate higher productivity? Evidence from Ecuadorian manufacturing firms

Productivity determinants in the service industry: differences between high and low knowledge intensive sectors

Exports, productivity and capital intensity: Evidence for Brazilian firms

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