This study aims to use the panel models to estimate the impact of 
nanotechnology on economic growth represented in this study by the 
added value of manufacturing, by clarifying between the three models 
represented by the pooled regression model, the fixed effects model, and 
the random effects model. The Haussmann criterion was based on 
choosing the best model by studying two independent variables that affect 
technology. The study included two economic sectors, namely, the 
manufacturing sector and the scientific research sector related to 
nanotechnology, for the period from 2000 to 2022. The study concluded 
that the fixed effects model is better than the pooled regression model and 
the random effects in estimating the relationship between research 
variables related to nanotechnology and industrial development. The study 
concluded that there is a strong positive statistically significant 
relationship between nanotechnology and the added value of 
manufacturing.