| 000 | 01889cam a2200253 4500500 | ||
|---|---|---|---|
| 005 | 20251214033302.0 | ||
| 041 | _afre | ||
| 042 | _adc | ||
| 100 | 1 | 0 |
_aOuakil, Hicham _eauthor |
| 700 | 1 | 0 |
_aLiouaeddine, Mariem _eauthor |
| 700 | 1 | 0 |
_aHosni, Mohamed _eauthor |
| 700 | 1 | 0 |
_aSaadi, Ayoub _eauthor |
| 245 | 0 | 0 | _aPublic Support, R&D and Firm Innovation in Developing Countries: The Case of Morocco |
| 260 | _c2027. | ||
| 500 | _a79 | ||
| 520 | _aThe allocation and effectiveness of public subsidies for R&D and innovation are crucial issues for firms and policymakers. This study has two main objectives: first, to identify the determinants of access to public funding for R&D and innovation within firms; second, to quantitatively assess the causal impact of this support on firms’ R&D and innovation activities. We used data from the 2019 World Bank survey of 1,096 Moroccan firms (www.enterprisesurveys.org) and applied two econometric approaches. For the first objective, we resorted to logistic regression based on a probit model. The results show that competitive firms, those investing in ICT, and those that employ graduates are more likely to receive public financial support. For the second objective, we used Propensity Score Matching (PSM) to control for selection bias and endogeneity. The results show that government financial support significantly favors the innovation inputs and outputs of Moroccan firms.JEL Classification: C54, H81, L2, O3. | ||
| 690 | _aFirm R&D and Innovation | ||
| 690 | _aImpact Assessment | ||
| 690 | _aProbit Model | ||
| 690 | _aPropensity Score Matching (PSM) | ||
| 690 | _aPublic Support | ||
| 786 | 0 | _nJournal of Innovation Economics & Management | Prépublicatio | 2027-01-03 | p. I190-XXX | |
| 856 | 4 | 1 | _uhttps://shs.cairn.info/revue-journal-of-innovation-economics-2025-0-page-I190?lang=en&redirect-ssocas=7080 |
| 999 |
_c1575706 _d1575706 |
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