An Estimation of Regional Knowledge Production Function: Evidence from Iran

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 458

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شناسه ملی سند علمی:

IRAMOT09_002

تاریخ نمایه سازی: 13 شهریور 1396

چکیده مقاله:

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.

نویسندگان

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