The Impact of Financial Constraints on Innovation: What Can Be Learned from a Direct Measure?

Savignac, Frédérique

doi:10.2139/ssrn.1694507

Cited by 150 publications

(218 citation statements)

References 138 publications

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“…However barriers to innovation are challenging to interpret depending on the firm's degree of engagement in innovation. The more firms engage in innovation, the better they are at identifying and characterizing the importance of the barriers they encounter during the innovation process (Galia and Legros 2004;Mohnen et al 2008;Savignac 2008). None of the existing empirical studies in the CDM tradition has included barriers to innovation as independent variables affecting either the decision to engage in innovation or the innovation intensity of a firm.…”

Section: Variablesmentioning

confidence: 99%

Determinants of Innovation and Productivity in the Service Sector in Mexico

Fuentes

Dutrénit

Santiago³

et al. 2015

Emerging Markets Finance and Trade

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Based on survey data about firms in Mexico this paper investigates the determinants of innovation, and the linkages between innovation and productivity in the services sector. We applied a three-stage Crépon-Duguet-Mairesse (CDM) econometric model; the use of manufacturing firms as benchmark helped to better appreciate our findings. The paper identified that a series of structural, performance, and behavioral factors increase a firm's propensity to invest in innovation, but some differences arise between services and manufacturing firms. Intensive investment in innovation leads to superior innovation performance, while innovation output has a positive impact on labor productivity.JEL classification: L8, O12, O14, O31, O33, O38, O40

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Section: Variablesmentioning

confidence: 99%

Determinants of Innovation and Productivity in the Service Sector in Mexico

Fuentes

Dutrénit

Santiago³

et al. 2015

Emerging Markets Finance and Trade

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“…However, once they are treated as endogenous, their effect can become negative as one would expect them to be (see Savignac, 2008;Tiwari et al, 2008) as examples in the case of financial constraints).…”

mentioning

confidence: 99%

Using Innovation Surveys for Econometric Analysis

Mairesse

Mohnen

2010

Handbook of the Economics of Innovation

293

173

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After presenting the history, the evolution and the content of innovation surveys, we discuss the characteristics of the data they contain and the challenge they pose to the analyst and the econometrician. We document the two uses that have been made of these data: the construction of scoreboards for monitoring innovation and the scholarly analysis of various issue related to innovation. In particular we review the questions examined and the results obtained regarding the determinants, the effects, the complementarities, and the dynamics of innovation. We conclude by suggesting ways to improve the data collection and their econometric analysis. JEL: O30, O50, C35, C81,

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“…The dual-control-group approach addresses the difference in effects between innovation willing firms (recipients-control group 1) versus innovation non-willing firms (recipients versus control group 2), and it is in line with Savignac's (2008) approach to address potential problems of endogeneity of obstacles and propensity to innovate. Table 2 presents descriptive statistics of recipients and non-recipients by functional upgrading, inter-sectoral upgrading, and the critical variables used in the regressions presented in Tables 4 and 5.…”

Section: Estimation Resultsmentioning

confidence: 99%

“…A bi-probit Heckman approach (Greene, 2014) is used, where a recursive model is simultaneously estimated for two equations: selection and structural (Savignac, 2008) 6 to measure the likelihood of firms achieving functional and/ or inter-sectoral upgrading in GVCs.…”

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confidence: 99%

Public support for business innovation in Mexico: a cross-sectional analysis

2016

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Public support for business innovation in Mexico: a cross-sectional analysis. Regional Studies. This paper explores the impact of government support in Mexico on the likelihood of firms achieving functional and/or inter-sectoral upgrading in global value chains (GVCs). Employing a unique dataset, regression analysis was undertaken to estimate the predicted probabilities of firms upgrading in GVCs considering their regional location. The results suggest that firms located in Mexico City are more likely to achieve functional upgrading vis-à-vis northern firms. Additionally, the presence of a research and development laboratory is crucial if firms are to engage in upgrading. There was no evidence that government support affects the likelihood of firms achieving functional and/or inter-sectoral upgrading. RÉSUMÉLe soutien gouvernemental en faveur de l'innovation en entreprise au Mexique: une analyse transversale. Regional Studies. Ce présent article examine l'impact du soutien gouvernemental au Mexique sur la possibilité que les entreprises réalisent une mise à niveau fonctionnelle et/ou intersectorielle aux chaînes de valeur mondiales. Employant un ensemble de données original, une analyse de régression est faite pour estimer la probabilité que les entreprises qui modernisent leurs chaînes de valeur mondiales remettent en question leur localisation régionale. Les résultats laissent supposer que les entreprises situées à Mexico sont plus susceptibles de réaliser une mise à niveau fonctionnelle par rapport aux entreprises du nord. En outre, la présence d'un laboratoire de recherche et de développement est essentielle si les entreprises sont à investir dans la mise à niveau. Rien ne prouve que le soutien gouvernemental influence la possibilité que les entreprises réalisent une mise à niveau fonctionnelle et/ou intersectorielle. MOTS-CLÉSpolitique en faveur de l'innovation en entreprise; pays en voie de développement; mise à niveaux aux chaînes de valeur mondiales; analyse par groupe témoin double; hétérogénéité régionale RESUMENApoyo público para la innovación empresarial en México: un análisis transversal. Regional Studies. En este artículo analizamos qué efecto tienen los apoyos gubernamentales en México para que las empresas tengan más posibilidades de lograr una mejora funcional y/o intersectorial en las cadenas globales de valor. A partir de una base de datos propia, llevamos a cabo un análisis de regresión para calcular las probabilidades de mejora de las empresas en las cadenas globales de valor tomando en consideración su ubicación regional. Los resultados indican que las empresas ubicadas en la ciudad de México tienen más probabilidades de conseguir mejoras funcionales en comparación con las empresas del norte. Asimismo la presencia de un laboratorio de investigación y desarrollo en las empresas es fundamental para asegurar dichas mejoras. No hay indicios de que el apoyo gubernamental afecte significativamente a la probabilidad de que las empresas consigan mejoras funcionales y/o intersectoriales....

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The Impact of Financial Constraints on Innovation: What Can Be Learned from a Direct Measure?

Cited by 150 publications

References 138 publications

Determinants of Innovation and Productivity in the Service Sector in Mexico

Determinants of Innovation and Productivity in the Service Sector in Mexico

Using Innovation Surveys for Econometric Analysis

Public support for business innovation in Mexico: a cross-sectional analysis

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