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Registros recuperados: 11 | |
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Huang, Kuo S.. |
The gross-output multifactor productivity index for U.S. food manufacturing grew 0.19 percent per year between 1975 and 1997. This productivity growth is low when compared with an estimate of 1.25 percent per year for the whole manufacturing sector. Low investment in research and development (R&D) could be one reason. Although productivity has been relatively low, food manufacturing output has grown significantly at 1.88 percent over the last two decades. Indeed, the expansion of combined factor inputs provided significant impetus to food manufacturing output. Food manufacturing is materials-intensive, and declining real producer prices of crude food and feedstuffs fueled the expansion of input utilization and drove down prices of processed foods paid... |
Tipo: Report |
Palavras-chave: Food manufacturing; Multifactor productivity; Labor productivity; Agribusiness; Productivity Analysis. |
Ano: 2003 |
URL: http://purl.umn.edu/33557 |
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Lambert, Dayton M.; McNamara, Kevin T.; Beeler, Megan I.. |
Food manufacturing site selection is determined by infrastructure, agglomeration, product and input markets, labor markets, and fiscal attributes of local communities. This article examines how these factors influence location decisions across the rural-urban continuum in the lower forty-eight states of the U.S. Negative binomial regression and spatial clustering methods are used to forecast new food processor location patterns at the county level, 2000-2004. Remote rural areas are at a comparative disadvantage with respect to attracting food processors, but non-metropolitan counties with economic links to urban core areas may be attractive investment sites for footloose, supply, and demand-oriented food manufacturers. |
Tipo: Conference Paper or Presentation |
Palavras-chave: Firm location; Food manufacturing; Negative binomial regression; Spatial clustering; Community/Rural/Urban Development; R1; R3. |
Ano: 2007 |
URL: http://purl.umn.edu/9706 |
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Registros recuperados: 11 | |
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