The adverse effects of political instability on innovation systems: The case of Mexico's wind and solar sector
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DOI: 10.1016/j.technovation.2024.103083
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Cited by:
- Leogrande, Angelo & Drago, Carlo & Mallardi, Giulio & Costantiello, Alberto & Magaletti, Nicola, 2024.
"Patenting Propensity in Italy: A Machine Learning Approach to Regional Clustering,"
MPRA Paper
123081, University Library of Munich, Germany.
- Leogrande, Angelo & Drago, Carlo & Mallardi, Giulio & Costantiello, Alberto & Magaletti, Nicola, 2024. "Patenting Propensity in Italy: A Machine Learning Approach to Regional Clustering," SocArXiv nftv3, Center for Open Science.
- Leogrande, Angelo & Drago, Carlo & Mallardi, Giulio & Costantiello, Alberto & Magaletti, Nicola, 2024. "Patenting Propensity in Italy: A Machine Learning Approach to Regional Clustering," SocArXiv nftv3_v1, Center for Open Science.
- Tatyana Semenova & Juan Yair Martínez Santoyo, 2025. "Determining Priority Areas for the Technological Development of Oil Companies in Mexico," Resources, MDPI, vol. 14(1), pages 1-27, January.
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Keywords
Innovation systems; Functions of innovation systems; Sectoral innovation system; Political instability; Solar and wind technology;All these keywords.
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