Consulta: creatorFacets:"Ma,   Xingliang"
Registros recuperados: 4
Data/hora: 16/06/2024 06:36:41

A Structural Estimation of the Demand for Corn Seed in the U.S.
Provedor de dados: 31
Autores: Ma,   Xingliang; Shi,   Guanming.
Tipo: Conference Paper or Presentation
Palavras-chave: Crop Production/Industries; Demand and Price Analysis; Production Economics.
Ano: 2010
URL: http://purl.umn.edu/61765

Effect of Prices, Traits and Market Structure on Corn Seeding Density
Provedor de dados: 31
Autores: Mitchell,   Paul D.; Shi,   Guanming; Ma,   Xingliang; Lauer,   Joseph G.
Recent agronomic research finds that economically optimal seeding densities have likely increased for many Midwestern corn farmers as a result of genetic improvements including new GM traits such as Bt corn and herbicide tolerance.  We derive a per acre demand model for hybrid seed corn to examine the determinants of corn seeding densities and estimate the model using a large data set of individual farmer seed corn purchases.  Current results identify factors other than prices affecting farmer corn seeding densities.  Among these factors are the GM trait of the seed corn, measures of the local seed corn market structure, seed purchase source and intended end use.  We interpret these effects in terms of information effects—farmers with more/better access to...
Tipo: Conference Paper or Presentation
Palavras-chave: Hybrid seed corn; Bt corn; Herbicide tolerance; Herfindahl index; Corn borer; Rootworm; Hyperbolic yield model; Agribusiness; Crop Production/Industries; Farm Management; Industrial Organization; Production Economics; D2; D21; Q1; Q12.
Ano: 2009
URL: http://purl.umn.edu/49520

A Dynamic Adoption Model with Bayesian Learning: Application to the U.S. Soybean Market
Provedor de dados: 31
Autores: Ma,   Xingliang; Shi,   Guanming.
Agricultural technology adoption is often a sequential process. Farmers may adopt a new technology in part of their land first and then adjust in later years based on what they learn from the earlier partial adoption. This paper presents a dynamic adoption model with Bayesian learning, in which forward-looking farmers learn from their own experience and from their neighbors about the new technology. The model is compared to that of a myopic model, in which farmers only maximize their current benefits. We apply the analysis to a sample of U.S. soybean farmers from year 2000 to 2004 to examine their adoption pattern of a newly developed genetically modified (GM) seed technology. We show that the myopic model predicts lower adoption rates in early years than...
Tipo: Conference Paper or Presentation
Palavras-chave: Technology adoption; Bayesian learning; Structural estimation; Agribusiness; Agricultural and Food Policy; Crop Production/Industries; Industrial Organization; Production Economics; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; Risk and Uncertainty; Teaching/Communication/Extension/Profession.
Ano: 2011
URL: http://purl.umn.edu/104577

GM Vs. Non-GM: A Survival Analysis of Hybrid Corn Seed in the U.S.
Provedor de dados: 31
Autores: Ma,   Xingliang; Shi,   Guanming.
Tipo: Conference Paper or Presentation
Palavras-chave: Crop Production/Industries; Production Economics.
Ano: 2010
URL: http://purl.umn.edu/61764