Measurement and Sources of Economies of Scope: A Primal Approach
AbstractScope economies (reflecting the benefit of a multioutput firm) have been defined by Baumol, Panzar, and Willig in the context of cost functions. This paperuses Luenberger's shortage function to develop a general measure of scope economies directly from the underlying technology. The analysis applies under complete as well as partial specialization. Our primal measure of economies of scope is decomposed into four additive parts: one measuring complementarity, one reflecting economies of scale, one reflecting convexity of the technology, and one reflecting the role of catalytic outputs. This decomposition appears useful and helps generate valuable insights into the economics of specialization.
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Bibliographic InfoArticle provided by Mohr Siebeck, Tübingen in its journal Journal of Institutional and Theoretical Economics.
Volume (Year): 163 (2007)
Issue (Month): 3 (September)
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Web page: http://www.mohr.de/jite
Postal: Mohr Siebeck GmbH & Co. KG, P.O.Box 2040, 72010 Tübingen, Germany
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- Briec, Walter & Kerstens, Kristiaan, 2009.
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- Kerstens, Kristiaan & Van de Woestyne, Ignace, 2009. "Negative Data in DEA: A Simple Proportional Distance Function Approach," Working Papers 2009/04, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
- Chavas, Jean-Paul & Kim, Kwansoo, 2010. "Economies of diversification: A generalization and decomposition of economies of scope," International Journal of Production Economics, Elsevier, vol. 126(2), pages 229-235, August.
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