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Registros recuperados: 147 | |
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Pray, Carl E.. |
This report reviews the impacts of the Asian Maize Biotechnology Network (AMBIONET), organized by the International Maize and Wheat Improvement Center (CIMMYT) with funding from the Asian Development Bank to strengthen the capacity of public maize research institutions in China, India, Indonesia, Philippines, Thailand, and Vietnam to produce high-yielding, disease resistant, stress tolerant maize cultivars. It was found that, during its lifetime (1998-2005), AMBIONET clearly benefited researchers and institutions in participating countries, as well as CIMMYT. In addition, there was good progress toward developing improved cultivars. Asian farmers are just beginning to gain from the work, but their future benefits will likely pay for AMBIONET’s relatively... |
Tipo: Report |
Palavras-chave: Zea mays; Plant breeding; Biotechnology; Breeding methods; Research methods; Disease resistance; Yield increases; Research institutions; China; India; Indonesia; Philippines; Thailand; Viet Nam; Asia; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies; F30; F01. |
Ano: 2006 |
URL: http://purl.umn.edu/56103 |
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Sriboonchitta, Songsak; Chaitip, Prasert; Balogh, Peter; Kovacs, Sandor; Chaiboonsri, Chukiat. |
In our research we examine the behaviour of both Thailand’s and India’s international tourism market by using long-memory analysis. The international tourism market of Thailand combined with seven groups such as East Asia, Europe, The Americas, South Asia, Oceania, Middle East and Africa. Similarly, the international tourism market of India combined with nine countries: USA, UK, Canada, Germany, France, Japan, Malaysia, Australia and Sri Lanka. Moreover, three statistical tests for long-memory process such as R/S test, Modified R/S test and GPH-test are employed to study these markets. The empirical findings in general provide more support for long memory process in international tourism market of Thailand and evidence for short-term dependence in... |
Tipo: Journal Article |
Palavras-chave: Thailand; India; Long-memory process; Tourism Market; Marketing. |
Ano: 2011 |
URL: http://purl.umn.edu/104679 |
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Balogh, Peter; Kovacs, Sandor; Chaiboonsri, Chukiat; Chaitip, Prasert. |
Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on X-12-ARIMA seasonal adjustment and this method was developed by the Census Bureau in the United States. It has been continually improved since the 1960s, and it is used by many statistics agencies and central banks. The secondary data were used to produce forecasts of international tourist arrivals to India for 2007-2010 and also these data were used to produce forecasts of international tourist arrivals to Thailand for 2006-2010. From these period the results confirm that the best forecasting method based on the X-12-ARIMA seasonal adjustment is X-12-ARIMA(0,1,2)(0,1,1), X-12-ARIMA(0,1,1)(0,1,1) and X-12-ARIMA(2,1,0)(0,1,1) for... |
Tipo: Journal Article |
Palavras-chave: India; Thailand; International tourism; X-12-ARIMA; The best forecasting methods; Agricultural and Food Policy; International Development; Research Methods/ Statistical Methods. |
Ano: 2009 |
URL: http://purl.umn.edu/49226 |
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Gorton, Matthew; Sauer, Johannes; Supatpongkul, Pajaree. |
Drawing on the Big Middle theory of retail evolution, an analysis of primary survey data on Thai shopping behavior seeks to understand the relative satisfaction of consumers with wet markets and supermarkets, identifying the factors that affect frequency of visit to, and purchase behavior within, these retail outlets. This provides the basis for engaging in a wider debate on the possibility of a ‘Global Big Middle’ for food retailing. On all salient attributes affecting retail outlet choice, supermarkets perform better than wet markets. However for fresh produce, wet markets continue to account for the majority of expenditure, albeit to a far lesser extent than in previous studies. A bootstrapped bivariate ordered probit model identifies that supermarkets... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Big Middle; Food retailing; Thailand; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; Marketing; D12; L81; P46. |
Ano: 2009 |
URL: http://purl.umn.edu/50332 |
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Butzer, Rita; Mundlak, Yair; Larson, Donald F.. |
Using time-series data spanning three decades, we examine the determinants of sectoral migration in Indonesia, Thailand, and the Philippines. We used a principal-components algorithm to address the problems associated with trended and intercorrelated explanatory variables. Migration rates in the three countries are low relative to other developing countries, with the consequence of persistent intersectoral income differentials. Even so, the rate of migration has been responsive to the income ratios in each country. The migration rates were also affected by the absorbing capacity of nonagriculture, as indicated by several measures. In contrast to other studies, policy variables consisting of indicators of physical and human capital had little impact on... |
Tipo: Journal Article |
Palavras-chave: Agriculture; Indonesia; Labor; Migration; Philippines; Thailand. |
Ano: 2003 |
URL: http://purl.umn.edu/43290 |
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Registros recuperados: 147 | |
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