|
|
|
| Registros recuperados: 10 | |
|
| |
|
| |
|
| |
|
|
| Alam, Mohammad Jahangir; Buysse, Jeroen; Begum, Ismat Ara; Nolte, Stephan; Wailes, Eric J.; Van Huylenbroeck, Guido. |
| The paper analyzes the impact of trade liberalization and changes in world prices of agricultural commodities in Bangladesh using single country CGE model. Since the agricultural sector is sensitive to overall employment, household welfare and food security, the analysis focuses on the changes in agricultural production, consumption, household income and welfare. The results show that trade liberalization increases the welfare of all household groups while world market price increases decrease welfare. It means that although trade liberalization generates a welfare increase for households but this is dependent on the relative level of world commodity prices. Our results are based on the analysis of aggregate household groups, so it may be of future... |
| Tipo: Presentation |
Palavras-chave: Static; CGE; Trade policy; World prices; Agricultural commodities; Bangladesh; Agricultural and Food Policy; Demand and Price Analysis; Food Security and Poverty; International Development; International Relations/Trade. |
| Ano: 2012 |
URL: http://purl.umn.edu/123724 |
| |
|
| |
|
|
| COSTA,Olívia Bueno da; MATRICARDI,Eraldo Aparecido Trondoli; PEDLOWSKI,Marcos Antonio; COCHRANE,Mark Alan; FERNANDES,Luiz Cláudio. |
| ABSTRACT Although soybean production has been increasing in the state of Rondônia in the last decade, soybean planted area has been estimated indirectly using secondary datasets, which has limited understanding of its spatiotemporal distribution patterns. This study aimed to map and analyze spatial patterns of soybean expansion in Rondônia. We developed a classification technique based on Spectral Mixture Analysis (SMA) derived from Landsat imagery and Decision Tree Classification to detect and map soybean plantations in 2000, 2005, 2010, and 2014. The soybean classification map showed 93% global accuracy, 23% omission and 0% of commission errors for soybean crop fields. The greatest increases of soybean cropped area in the state of Rondônia were observed... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Brazilian Amazon; Tropical deforestation; Land-use and land-cover change; Geoprocessing; Agricultural commodities. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672017000100029 |
| |
|
| |
|
|
| Naanwaab, Cephas B.; Yeboah, Osei-Agyeman. |
| This paper examines the effects of the North American Free Trade Agreement on agricultural commodity trade using extensive data. The data cover agricultural exports and imports between the U.S. and NAFTA partners over the extended period of 1989-2010. The commodities covered in our analyses include; corn, soy bean, cotton, wheat, fresh vegetables, poultry, dairy products, and red meats. Since the signing of the agreement, U.S. total agricultural commodity trade with NAFTA members has increased three-fold from $18 billion in 1994 to $61 billion in 2010. A partial equilibrium model, in which we derive each trading partner's excess demand and excess supply, is used to study the impact of NAFTA on trade, controlling for other trade-inducing variables such... |
| Tipo: Presentation |
Palavras-chave: NAFTA; Agricultural commodities; Trade; Partial equilibrium analysis; Agribusiness; Agricultural and Food Policy; Crop Production/Industries; International Relations/Trade; Marketing. |
| Ano: 2012 |
URL: http://purl.umn.edu/119730 |
| |
|
| |
|
|
| Ott, Herve. |
| The present paper attempts to find empirical evidence on volatility in the grain sector (wheat, corn and soybean). The first challenge is to measure volatility. Intra-year volatility, inter-year volatility in level and return, also conditional volatility are defined and then calculated. The second challenge is to determine which factors impact volatility. The results show that depending on how volatility is measured, factors driving volatility are very different regarding their quantitative importance. Low stock to use ratio drives up mostly intra-year volatility but only moderately inter-year volatility and has almost no impact on conditional volatility. In contrast, a well functioning international market (trade flows without restriction) lowers... |
| Tipo: Presentation |
Palavras-chave: Volatility; Agricultural commodities; Risk and Uncertainty; C26; C32; Q11. |
| Ano: 2012 |
URL: http://purl.umn.edu/122486 |
| |
| Registros recuperados: 10 | |
|
|
|
