خلاصة:
The synergies for the Iranian regional and national innovation systems among the geographical, technological and organizational distributions of firms were measured. Among the data of 87934 active industrial firms (December 2015), merely 46150 firms could be classified using NACE codes into high-tech, medium-tech and knowledge intensive sectors which in turn geographically divided into five regions. Accordingly, both the T0 and ΔTGTO of Iran at the national level had negative signs (-480.6 and -5.14 mbits, respectively), however all the ΔTGTOs in each separate region was highly positive denoting that national agglomeration significantly adds to the synergy in the system and a highly integrated national innovation system was proposed in Iran. Regions 1 (including Tehran as the capital) as well as region 4 (including Khuzestan which contains enormous oil and gas resources and industries) caused less disturbance to the national synergy compared with the other three regions (ΔTGTOs= +18.1 and +22.2 mbits, respectively). The decomposition of sectorial technologies showed that in contrast to many other countries, especially for west European countries, high-tech manufacturing and knowledge intensive services were the main drives of knowledge-based configuration in the regional economy of Iran, while medium-tech manufacturing tend to uncouple the economy from the regional configuration.
ملخص الجهاز:
lute rnntionn 1 Journal c'J'/nJc'rmufic'n Scienc'e and Munn gement Vol. 16, No. 1, 2018, 203-220 Synergy in the Iranian Innovation Systems at Regional and National Levels In the Triple-Helix Context Hoda Abedi Fahimeh Babalhavaeji PhD Candidate Department of Knowledge Associate Prof.
ir Abstract The synergies for the Iranian regional and national innovation systems among the geographical, technological and organizational distributions of firms were measured.
Beyond the unavoidably advantages of KE in every country (Foray & Lundvall, 1996; Abramowitz & David, 1996), a big question and maybe the most challenging issue in this field is “can something as elusive as the knowledge base of an economy be measuredand/or quantified its extent and composition (Carter, 1996; OECD, 1996)?Accordingly, much time and effort is expended by many national as well as international organizations in an attempt to measure and expand the definition of KE (Carter, 1996; Oxley et al.
Achieving this aim will require solving the following queries: IJISM, Vol. 16, No. 1 January / June 2018 • How is the distribution trend of industrial firms (including three levels of high-tech, medium-tech and knowledge intensive) change in different provinces of Iran?
Triple-helix synergy in the Russian innovation systems at regional, provincial, and national levels was measured in 2015 (Leydesdorff, Perevodchikov & Uvarov, 2015).
These results indicate that KIS favorably affects the synergy between technology, organization, and territory in the techno-economic system of the Iranand its regions or a relatively connection effect from the geographically defined knowledge bases of the economy.