2015
DOI: 10.1111/rode.12147
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Firms' Innovation, Public Financial Support, and Total Factor Productivity: The Case of Manufactures in Peru

Abstract: Based upon an adjusted Crepon-Duguet-Mairesse (CDM) model, this paper analyzes the relationship between investment intensity, public financial support, innovation, and total factor productivity (TFP) for a sample of manufacturing firms of Peru with data obtained from the 2004 survey of science, technology, and innovation (STI) activities. The estimation of the model indicates that large firms are more likely to invest in STI activities and firms' size increases the probability of producing technological inovat… Show more

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Cited by 21 publications
(30 citation statements)
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“…Further, unlike our work, Goedhuys et al. () assume that the productivity term in the production function specification is just an idiosyncratic shock, while Tello () and Arbeláez and Torrado () assume that an exogenous Markov process governs this term. Hence, we are not conscious of any study for Latin American countries using TFP with an endogenous Markov process.…”
Section: Introduction and Literature Reviewmentioning
confidence: 79%
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“…Further, unlike our work, Goedhuys et al. () assume that the productivity term in the production function specification is just an idiosyncratic shock, while Tello () and Arbeláez and Torrado () assume that an exogenous Markov process governs this term. Hence, we are not conscious of any study for Latin American countries using TFP with an endogenous Markov process.…”
Section: Introduction and Literature Reviewmentioning
confidence: 79%
“…Some exceptions (from Table ) that account for some dynamics in the relationship between innovation and productivity are Arza and López () and Chudnovsky, López, and Pupato (), for Argentina, and Cassoni and Ramada (), for Uruguay, who exploit the panel dimension of their data. Also, Alvarez, Bravo‐Ortega, and Navarro () and Benavente and Bravo (), for Chile, Arbeláez and Torrado (), for Colombia, and Tello (), for Peru, who consider possible delayed effects of innovation outputs on productivity. However, to the best of our knowledge, we are only aware of three studies that use TFP measures to analyze the relationship between innovation outputs and productivity in Latin America.…”
Section: Introduction and Literature Reviewmentioning
confidence: 99%
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“…In the same path, Wanzenböck, Scherngell, and Fischer (2013) show that once companies receive subsidies to innovation, the likelihood of abandoning their innovation projects decreases, the cooperative behavior increases, and the knowledge transfer flows become more visible. At the same time, Tello (2015), Busom and Vélez-Ospina (2017), and Jiang et al (2018) show that companies receiving subsidies tend to increase their propensity to innovate. However, the literature on the effects of subsidies on behavioral additionality is not widely disseminated, and generally, literature about innovation subsidy focuses on the input additionalities of innovation (Dimos & Pugh, 2016).…”
Section: Literature Reviewmentioning
confidence: 97%
“…Heckman (1979) proposes a two-step method (also called the Heckman correction, Heckman's lambda or the Heckit method) to solve this problem and it has been widely used. Many scholars (Berthélemy, 2006;Tebaldi & Kim, 2010;Lianos & Pseiridis, 2011;Tello, 2015;Qian, Wang, & Zheng, 2016) adopt this method or its extension in migration studies. The Heckit method first builds a probit model to estimate the binary decision (stay or migrate) and derive a correction parameter called the inverse Mills ratio (IMR or lambda).…”
mentioning
confidence: 99%