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| Registros recuperados: 40 | |
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| Muhammad, Andrew; McPhail, Lihong Lu; Kiawu, James. |
| We estimate the demand for imported cotton in China and assess the competitiveness of cotton-exporting countries. Given the assertion that developing countries are negatively affected by U.S. cotton subsidies, our focus is the price competition between the United States and competing exporters (Benin, Burkina Faso, Chad, Mali, India, and Uzbekistan). We further project how U.S. programs affect China’s imports by country. Results indicate that if U.S. subsidies make other exporting countries worse off, this effect is lessened when global prices respond accordingly. If subsidies are eliminated, China’s cotton imports may not fully recover from the temporary spike in global prices. |
| Tipo: Article |
Palavras-chave: China; Cotton; Import demand; Rotterdam model; Subsidies; United States; West Africa; International Relations/Trade; F17; Q11; Q17. |
| Ano: 2012 |
URL: http://purl.umn.edu/123786 |
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| Harri, Ardian; Muhammad, Andrew; Anderson, John D.. |
| Researchers estimating demand systems have often used annual data even though monthly or quarterly data are available. Monthly data may be avoided because with monthly data it becomes more difficult to specify seasonality, autocorrelation is more likely to be significant, and there is a greater chance of finding significant dynamics in demand. This paper shows how to obtain consistent and asymptotically efficient estimates of a demand system using seasonal differenced data. It also shows that several alternative estimators are either inefficient or implausible for demand systems. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Demand and Price Analysis. |
| Ano: 2008 |
URL: http://purl.umn.edu/6427 |
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| Registros recuperados: 40 | |
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