Abstract
All sectors and fields are affected by rapid developments and changes in technology, which greatly affects labour supply and demand, as well as wage levels, productivity and work efficiency in companies and projects, especially in unemployment rates. To diagnose the factors affecting unemployment rates in (5) leading countries in the robotics industry, including (China, Japan, the United States of America, South Korea, and Germany) during the period (2000-2023), a regression was conducted on the unemployment rate as a dependent variable on (3) independent variables (number of robots, population, GDP at constant prices) affecting the unemployment rate for the selected countries using the (Auto Regressive Distributed Lag ARDL) method for each country separately and the (PMG- ARDL) model for the selected countries combined. After that, the selected model was subjected to theoretical, statistical and standard criteria to analyze and evaluate the results
obtained. In general, it was found that robots and GDP have a positive effect in reducing unemployment rates for both the long and short-term periods for all countries, but at varying rates. That is, these two determinants contribute to reducing unemployment rates, while the results showed that the population has a negative effect in reducing unemployment rates, that is, it contributes to increasing unemployment rates for the selected countries. In light of these conclusions, the research proposes several proposals, including that governments, specifically in selected countries, as well as decision-makers and business owners, conduct in-depth studies on the impact of using robots in terms of the principle of economic and social benefit and cost, instead of relying excessively on production and use of robots. It should also take into account current and future economic, social and demographic conditions when making decisions regarding the number and type of robots and the fields and activities in which they are used, to ensure effective benefit for the individual, society and the national economy in general.