Linear Programming Models for Firm and Industry Performance

作者: Sung-Ko Li , Rolf Fare , Rolf Färe , Shawna Grosskopf

DOI: 10.2307/3440372

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摘要: Programming models of technology are enjoying a revival in several strands literature. One such strand is the growing literature devoted to assessment firm performance based on work Farrell (1957) and later popularized by Charnes, Cooper Rhodes (1978) under name data envelopment analysis (DEA); for an early programming model, see Boles (1966). A second seeks model industry production function associated with Johansen (1972), Fbrsund Hjalmarsson (1987) Aigner Chu (1968). third uses techniques as nonparametric tests regularity conditions production; Afriat Hanoch Rothschild Diewert Parkan (1983) Varian (1984). purposes this paper examine relationship between first two areas, i.e., performance. In order compare models, we restate them general form, ignore issues functional form. Examination these primal dual form reveals that approach constructs from but allows (hypothetical) reallocation aggregate resources across firms yield function. The also construct all sample/industry, do not allow inputs firms. This suggests natural hybrid: which both specific can be reallocated firms.' unfolds follows. We begin presenting stylized version production.

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