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Productivity-improving technologies date back to antiquity, with rather slow progress until the late Middle Ages. Important examples of early to medieval European technology include the water wheel, the horse collar, the spinning wheel, the three-field system (after 1500 the four-field system—see crop rotation) and the blast furnace.
Productivity is the efficiency of production of goods or services expressed by some measure. Measurements of productivity are often expressed as a ratio of an aggregate output to a single input or an aggregate input used in a production process, i.e. output per unit of input, typically over a specific period of time. [1]
The accounting result is obtained by subtracting the weighted growth rates of the inputs from the growth rate of the output. In this case the accounting result is 0.015 which implies a productivity growth by 1.5%. We note that the productivity model reports a 1.4% productivity growth from the same production data.
The Solow–Swan model or exogenous growth model is an economic model of long-run economic growth.It attempts to explain long-run economic growth by looking at capital accumulation, labor or population growth, and increases in productivity largely driven by technological progress.
A machinist at the Tabor Company, a firm where Frederick Taylor's consultancy was applied to practice, about 1905. Taylorism led to productivity increases, [20] meaning fewer workers or working hours were needed to produce the same amount of goods. In the short term, productivity increases like those achieved by Taylor's efficiency techniques ...
For example, when inputs (labor and capital) increase by 100%, the increase in output is less than 100%. The main reason for the decreasing returns to scale is the increased management difficulties associated with the increased scale of production, the lack of coordination in all stages of production, and the resulting decrease in production ...
Okun's law is an empirical relationship. In Okun's original statement of his law, a 2% increase in output corresponds to a 1% decline in the rate of cyclical unemployment; a 0.5% increase in labor force participation; a 0.5% increase in hours worked per employee; and a 1% increase in output per hours worked (labor productivity).
An explanation of the difference between efficiency and (total factor) productivity is found in "An Introduction to Efficiency and Productivity Analysis". [1] To complicate the meaning, operational excellence , which is about continuous improvement, not limited to efficiency, is occasionally used when meaning operational efficiency.