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Registros recuperados: 6
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TECHNOLOGICAL PERFORMANCE IN MEAT PROCESSING AND IMPLICATIONS FOR POLICY AgEcon
Xia, Yin; Buccola, Steven T..
We develop a general model of processing cost, output demand, and factor demand in the U.S. meat processing industries, allowing for capital quasi-fixity and imperfectly competitive pricing. The model is used to analyze the sources and nature of size economies and technical change in the meat sector.
Tipo: Conference Paper or Presentation Palavras-chave: Industrial Organization; Livestock Production/Industries.
Ano: 2000 URL: http://purl.umn.edu/21862
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Privatization of Agricultural Biotechnology Research at U.S. Universities AgEcon
Xia, Yin; Yuan, Yiyong.
The recent upsurge of privatization of university research, particularly in biotechnology, has attracted considerable attention. In the present study, we develop a structural model in knowledge production function framework to assess the impacts of university patenting and licensing on university research and on the downstream research which builds on university proprietary technologies to develop commercial agricultural biotech products.
Tipo: Conference Paper or Presentation Palavras-chave: Research and Development/Tech Change/Emerging Technologies.
Ano: 2005 URL: http://purl.umn.edu/19276
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Public Investment Policy in Life-Science Research AgEcon
Wang, Chenggang; Xia, Yin; Shoemaker, Robbin A.; Buccola, Steven T..
The article presents a dynamic model of research investment. This model allows us to examine three important channels through which public investment policy can affect the private sector's research investment, that is, the productivity, replacement, and wage effects. Two alternative empirical approaches are introduced to implement the model. Through a unified examination of the productivity, replacement, and wage effects, the empirical estimation of this model will provide insight into whether public-sector research investment crowds in or crowds out private-sector research investment.
Tipo: Conference Paper or Presentation Palavras-chave: Research and Development/Tech Change/Emerging Technologies.
Ano: 2006 URL: http://purl.umn.edu/21330
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ARE BASIC SCIENCE AND BIOTECHNOLOGY COMPLEMENTARY ACTIVITIES? AgEcon
Xia, Yin; Buccola, Steven T..
Enhancing agricultural productivity depends greatly on the management of information flows between basic and applied research. A framework is developed to examine the mutual relationship between molecular biological research and agricultural biotechnology innovations. Preliminary results provide a basis for university decision-making in both the short and long run.
Tipo: Conference Paper or Presentation Palavras-chave: Research and Development/Tech Change/Emerging Technologies.
Ano: 2001 URL: http://purl.umn.edu/20575
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UNIVERSITY BASIC RESEARCH AND APPLIED AGRICULTURAL BIOTECHNOLOGY AgEcon
Xia, Yin.
I examine the effects of R&D inputs on the subset of life-science outputs which demonstrably has influenced later technology, as evidenced by literature citations in agricultural biotechnology patents. Universities are found to be a principal seedbed for cutting-edge technology development. A university's life-science research budget strongly affects its technology-relevant life-science output as well as graduate education.
Tipo: Conference Paper or Presentation Palavras-chave: Research and Development/Tech Change/Emerging Technologies.
Ano: 2004 URL: http://purl.umn.edu/20187
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Productivity of Nanobiotechnology Research and Education in U.S. Universities AgEcon
Xia, Yin.
The National Science Foundation (NSF) estimates that nanotechnology will become a trillion-dollar industry by 2015 and that 800,000 workers will be needed in this field in the United States. Nanobiotechnology ― the interface of nanotechnology and the life sciences ― is one of the most active and promising application frontiers in nanotechnology. To assess the productivity of basic and applied research and education in this field, I construct a structural model composed of a system of three equations which respectively represent the productions of a university’s scientific publications, patents, and graduate training outputs. The model is estimated using a unique data set on thirty universities that participated in nanobiotechnology during the 1990-2005...
Tipo: Conference Paper or Presentation Palavras-chave: Nanotechnology; Graduate education; University research; Productivity; Productivity Analysis; Research and Development/Tech Change/Emerging Technologies.
Ano: 2009 URL: http://purl.umn.edu/49442
Registros recuperados: 6
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