An Estimation of Regional Knowledge Production Function: Evidence from Iran
Publish place: Fifth International Conference and Ninth National Conference on Technology Management
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IRAMOT09_002
تاریخ نمایه سازی: 13 شهریور 1396
Abstract:
The present study investigates the contributing factors to innovative output of Iranian provinces, measured by the number of granted Iranian patents to resident applicants. To this end, spatial knowledge production function is estimated by employing Principal Components Analysis (PCA). Total patent per capita and three categories of patents by institutional ownership (i.e. individuals, companies, and universities) are studied, separately as dependent variables. Our results indicate that welfare variables have played a relatively more important role in explaining innovative behaviors at the regional level. However, companies’ innovative behavior is affected more by R&D Investment and Human Capital variables. In addition, our results show the low level of knowledge spillovers across Iranian provinces.
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Authors
Mojgan Samandar
Istituto di Economia, Scuola Superiore Sant Anna, Pisa, Italy
Ali Eshtehardi
Istituto di Economia, Scuola Superiore Sant Anna, Pisa, Italy
Seyed Kamran Bagheri
Istituto di Management, Scuola Superiore Sant Anna, Pisa, Italy
Parya Raoofi
University of Tehran, Tehran, Iran, email