Regression analysis is used to investigate the impact of tech investment on U.S. regional productivity from 1990 to 2016. Using four S-Curve characteristics, we explain tech investment’s negative impact on regional productivity in the early investment stage. This is followed by rapidly increasing tech investment and significant regional productivity impact further along the S-Curve. As regional productivity approaches the top of the curve, tech investment results in diminishing returns. This signals the need to jump the S-Curve in search of new technological innovation to resuscitate tech investment and productivity gains. The S-Curve analysis indicates tech investment’s impact is contextual and depends on the position on the SCurve. This understanding of tech investment’s impact on regional productivity at various points on the curve has implications for regional and global development.
Grant, Delvin and Yeo, Benjamin, "Technology investment Impact on Regional Productivity: Empirical Evidence of S-Curve Characteristics" (2019). GlobDev 2019. 1.