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| Registros recuperados: 17 | |
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| Huang, Sophia Wu; Huang, Kuo S.. |
| We develop a measure of consumer welfare by approximating Hicksian compensating variation as a function of all commodity prices and compensated price elasticities. The unique feature of this approach is that all direct- and cross-commodity effects of a demand system are incorporated into the welfare measurement. This approach is useful for developing an instrumental model to evaluate the consumer welfare effects of trade reform. For illustration, the proposed procedure is applied to Taiwan's meat industry, and various scenarios are considered to show the effects of eliminating meat tariff rates on the quantities of meat demanded and on the savings of meat expenditures. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Consumer/Household Economics; International Relations/Trade. |
| Ano: 2006 |
URL: http://purl.umn.edu/25480 |
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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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| Huang, Kuo S.. |
| The matrices of food price elasticities and flexibilities derived from a complete food demand system approach are theoretical consistent and reciprocal with each other. The statistical estimates, however, show that by using the inverted elasticities to represent flexibilities or vice versa, cause sizable measurement errors. For agricultural policy and program analyses, directly estimated food price elasticities and flexibilities should be used. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Demand and Price Analysis. |
| Ano: 2006 |
URL: http://purl.umn.edu/25572 |
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| Huang, Kuo S.. |
| Food price elasticities and flexibilities are widely used in agricultural policy and program analyses. Most agricultural economists take the reciprocal of a directly estimated elasticity, or more rigorously the inversion of an elasticity matrix at the retail level, as flexibility measures. Conceptual discussion and empirical evidence are provided to assess the reliability of this common practice of obtaining flexibility measures by inverting a matrix of directly estimated elasticities. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Price elasticity and flexibility; Demand and Price Analysis. |
| Ano: 2005 |
URL: http://purl.umn.edu/19335 |
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| Gale, H. Frederick, Jr.; Huang, Kuo S.. |
| As their incomes rise, Chinese consumers are changing their diets and demanding greater quality, convenience, and safety in food. Food expenditures grow faster than quantities purchased as income rises, suggesting that consumers with higher incomes purchase more expensive foods. The top-earning Chinese households appear to have reached a point where the income elasticity of demand for quantity of most foods is near zero. China’s food market is becoming segmented. The demand for quality by high-income households has fueled recent growth in modern food retail and sales of premium-priced food and beverage products. Food expenditures and incomes have grown much more slowly for rural and low-income urban households. |
| Tipo: Report |
Palavras-chave: China; Food; Consumption; Demand; Income; Elasticities; Engel curve; Households; Rural; Urban; Food Consumption/Nutrition/Food Safety. |
| Ano: 2007 |
URL: http://purl.umn.edu/7252 |
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| Huang, Kuo S.. |
| Forecasting food prices is an important component of the U.S. Department of Agricultureís short-term outlook and long-term baseline forecasting activities. A food price-forecasting model is developed by applying an inverse demand system, in which prices are functions of quantities of food use and income. Therefore, these quantity and income variables can be used as explanatory variables for food price changes. The empirical model provides an effective instrument for forecasting consumer price indexes of 16 food categories. |
| Tipo: Report |
Palavras-chave: Food price forecasts; Inverse demand system; Autoregressive model; Demand and Price Analysis. |
| Ano: 2000 |
URL: http://purl.umn.edu/33564 |
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| Huang, Kuo S.. |
| This session focuses on advanced econometric issues in demand estimation. Testing Aggregation Without Separability in Meat Demand: An Investigation of the Generalized Composite Commodity Theorem George Davis, Texas A&M University. A New, More General Demand System: The Nested PIGLOG Julian Alston and James Chalfant, University of California-Davis; Nicholas Piggott, North Carolina State University. An Almost Ideal Demand System with Global Regularity Properties Anatolik Skripnichenko, University of Alberta; Kevin Chen. The Estimation of a Complete Demand System Using Censored Microdata: Cereal Demand in Ethiopia Michigan State University. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Demand and Price Analysis; Research Methods/ Statistical Methods. |
| Ano: 1998 |
URL: http://purl.umn.edu/21004 |
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| Registros recuperados: 17 | |
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