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| Ball, V. Eldon; Lovell, C.A. Knox; Luu, H.; Nehring, Richard F.. |
| Agricultural production is known to have environmental impacts, both adverse and beneficial, and it is desirable to incorporate at least some of these impacts in an environmentally sensitive productivity index. In this paper, we construct indicators of water contamination from the use of agricultural chemicals. These environmental indicators are merged with data on marketed outputs and purchased inputs to form a state-by-year panel of relative levels of outputs and inputs, including environmental impacts. We do not have prices for these undesirable by products, since they are not marketed. Consequently, we calculate a series of Malmquist productivity indexes, which do not require price information. Our benchmark scenario is a conventional Malmquist... |
| Tipo: Journal Article |
Palavras-chave: Environmental impacts; Productivity growth; Environmental Economics and Policy. |
| Ano: 2004 |
URL: http://purl.umn.edu/30911 |
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| Murtough, Greg; Appels, David; Matysek, Anna; Lovell, C.A. Knox. |
| "Greenhouse Gas Emissions and the Productivity Growth of Electricity Generators" by Greg Murtough, David Appels, Anna Matysek, and C. A. Knox Lovell, was released on 18 December 2001. This paper develops and applies a measure of productivity growth that can incorporate unpriced environmental impacts. The methodology builds on the established technique of data envelopment analysis and is applied to one of the more significant environmental issues facing Australia - greenhouse gas emissions from electricity generation. The main finding of the paper is: productivity growth estimates for electricity generators can change significantly when allowance is made for greenhouse gas emissions. The paper develops an innovative statistical technique for incorporating... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Environmental Economics and Policy. |
| Ano: 2001 |
URL: http://purl.umn.edu/31917 |
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| Mosheim, Roberto; Lovell, C.A. Knox. |
| This study uses a new dataset based on the 2000 Agricultural Resource Management Survey, the most recent national survey of dairy producers in the United States. A shadow cost function is employed to decompose and analyze economic efficiency and scale economies. The study details the development of the data employed in the analysis and focuses on the estimation of scale relationships across farms in different regions and of different sizes. Preliminary results point to important scale economies and suggest that surviving small farms are on average more economically efficient but can exploit scale economies to a much lesser degree than larger farms. The preferred specification of the cost function does not show a region of decreasing returns to scale. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Industrial Organization. |
| Ano: 2006 |
URL: http://purl.umn.edu/21440 |
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