RandD and Innovation Empirical Analysis for Tunisian Firms Report as inadecuate




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Abstract

In the context of economic globalization and of the internationalization of RandD activity, innovation is becoming one of the most important assets for corporations in developed and emerging countries as well. The aim of this research is to analyze the main determinants of technological innovation of Tunisian firms on the basis of the innovation survey conducted by Tunisian Ministry of Scientific Research, Technology and Skills Development in 2005. Precisely, we analyze the effects of the external technological factors and In house RandD effort variables on innovation performances of Tunisian firms. We, then attempt to explore these relationships and see if they are affected by other moderator variables linked to exportation intensity and foreign capital share. In our estimation, we utilize the binomial logit model. Our preliminary results show that RandD activity is not the only explanatory factor of the innovation. In addition, Tunisian firms with high export ratio as well as firms with significant foreign capital participation are found to be not innovating since they depend primarily on the innovations conducted abroad.



Item Type: MPRA Paper -

Original Title: RandD and Innovation Empirical Analysis for Tunisian Firms-

English Title: RandD and Innovation Empirical Analysis for Tunisian Firms-

Language: English-

Keywords: Technological Innovation, Technological opportunities, RandD in Developing Countries, Logit Regression with Interactive variables-

Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O55 - AfricaO - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion ProcessesO - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O31 - Innovation and Invention: Processes and IncentivesC - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities-





Author: El Elj, Moez

Source: https://mpra.ub.uni-muenchen.de/18128/







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