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    <abstract>A new econometric model to forecast industrial robot penetration is proposed. This model consists of the following three components: (1) Application of a &quot;learning curve&quot; for industrial robot prices; (2) Application of an extended production function taking account of industrial robot population effects; (3) Introduction of a demand function for &quot;augmented equivalent labor force&quot;, in order to integrate the above two components. 

The validation of the proposed model was made for the penetration of advanced industrial robots in the Japanese manufacturing industry. 

The forecasts of I.R. penetration by this model were compared with the simple logistic curve model and also with the forecasts by JIRA (Japan Industrial Robot Association).</abstract>
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