Abstract

Recent empirical evidence underscores the vital role of industrial development in fostering structural change and promoting a country's long-run development objectives. Devising sound industrial policy institutions emerges as a key policy option to promote the reallocation of human, physical and financial resources to high value added sectors of the economy (Mbate, 2016). The total factor productivity (TFP) and partial factor productivity (PFP) are the prominent indices for the analysis of industrial development in countries or regions. This study addresses industrial productivity by using these indices. Furthermore, after these indices were estimated, the studied provinces were classified as high-productivity, medium-productivity, low-productivity, and poor-productivity groups through hierarchical clustering. The dispersion rates of all the TFP and PFPs were then shown on a geographical map of Iran. Before the productivity indices are estimated, theoretical and empirical foundations are first reviewed in the following section.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.