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Economic transformation can be measured through production/value-added measures and trade-based measures. Production-based measures include: (1) sector value added and employment data, to show productivity gaps between sectors; and (2) firm-level productivity measures, to examine average productivity levels of firms within one sector.
The evolution of four forms of capital (Indicated in Fig. 1) accompanies all economic transformations. Transformation is quite different from accompanying cyclical recessions and crises, despite the similarity of manifested phenomena (unemployment, technology shifts, socio-political discontent, bankruptcies, etc.).
Three sectors according to Fourastié Clark's sector model This figure illustrates the percentages of a country's economy made up by different sector. The figure illustrates that countries with higher levels of socio-economic development tend to have less of their economy made up of primary and secondary sectors and more emphasis in tertiary sectors.
The reciprocal transformation, some power transformations such as the Yeo–Johnson transformation, and certain other transformations such as applying the inverse hyperbolic sine, can be meaningfully applied to data that include both positive and negative values [10] (the power transformation is invertible over all real numbers if λ is an odd ...
An example would be a factory increasing its saleable product, but also increasing its CO 2 production, for the same input increase. [2] The law of diminishing returns is a fundamental principle of both micro and macro economics and it plays a central role in production theory .
The standard logistic function is the logistic function with parameters =, =, =, which yields = + = + = / / + /.In practice, due to the nature of the exponential function, it is often sufficient to compute the standard logistic function for over a small range of real numbers, such as a range contained in [−6, +6], as it quickly converges very close to its saturation values of 0 and 1.
Affine transformation (Euclidean geometry) Bäcklund transform; Bilinear transform; Box–Muller transform; Burrows–Wheeler transform (data compression) Chirplet transform; Distance transform; Fractal transform; Gelfand transform; Hadamard transform; Hough transform (digital image processing) Inverse scattering transform; Legendre ...
Hotelling's lemma is a result in microeconomics that relates the supply of a good to the maximum profit of the producer. It was first shown by Harold Hotelling, and is widely used in the theory of the firm.