The effects of Total Factor Productivity on Employment in Iranian Manufacturing Industries

The purpose of this paper is to evaluate the effect of total productivity factors on employment in Iran's industrial sectors using Autoregressive distributed lag and error correction model over the period 1996-2016. In modeling, industries are categorized into three groups of low-technology, Medium Low Technology, and Medium High Technology industries. The results show a significant and negative impact of total factor productivity on employment in Total industries and Medium High Technology industries that means meaning that the increase in total productivity factors in short and long term reduces total employment of Medium High Technology industries. In addition, total factor productivity has a negative effect on employment in low Technology and Medium Low Technology, meaning that increasing productivity in both the short and long run reduces employment in low-tech and medium-low industries. According to the results, increasing the skill and Workforce expertise and new Machinery can lead to increased productivity in the employment of Iranian industries.