یادگیری برای یادگرفتن و رشد بهره وری: شواهدی از یک کارخانه مونتاژ ماشین جدید
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|12314||2013||9 صفحه PDF||سفارش دهید||8490 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Omega, Volume 41, Issue 2, April 2013, Pages 336–344
This paper models learning by experience beyond the experience curve, including the possibility of “learning to learn”: the pace of learning increases over time by building on what has already been learned. We compare the extended deterministic learning model with Jovanovic and Nyarkos'  stochastic learning. The theoretical models are tested with data on the total factor productivity of a car-assembly plant in its first months of operation. We find that the deterministic “mixed learning model”, where the speed of learning is equal to a constant plus a learning to learn effect, is the one that best fits the empirical data. The mixed learning model results in a time pattern of total factor productivity growth, first increasing and later decreasing, different from the always decreasing rate of growth of the learning curve, opening new perspectives on the study of learning by experience.
Productivity, or the rate at which input quantities are turned into outputs, has received much attention at the macro (as determinant of differences in the per capita income of countries ), at the firm (as explanatory of differences in competitiveness and profitability of firms ), and at the operational level (explaining differences in efficiency and costs across production units ). The bulk of recent productivity research has concentrated on explaining the observed differences in productivity levels across firms within and between industries and countries (Syverson , for a review). Much less is known, however, on what determines the time path of productivity for an individual production unit, even though macro productivity growth comes from the aggregation of efficiency gains at the production unit level.
نتیجه گیری انگلیسی
Productivity growth (increasing output produced, at a higher rate than the rate of increase in the quantity of inputs used in production) is viewed as the main driver of economic prosperity, so there is much ongoing research seeking a better understanding of the sources of productivity growth over time. Solow's  ground-breaking paper, pointing to evidence that the aggregate output of an economy tends to grow at a higher rate than growth in aggregated inputs, identified the difference between the two growth rates as a “residual”. Gaining a better understanding of this residual, and of the factors that lead to sustainable growth, has been the concern of a great deal of research since the 1950s.