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This book primarily attempts to detect the trend in the present upshots of global warming temperature data. It has been done through the estimation of the long memory fractional parameter, using simulation technique. The study also investigates empirically the impact of global warming on global agricultural production. The simulation-result exhibits a non-trend behavior of global warming that produces a contradictory outcome of profound uncertainties against the case of true world temperature data trend. The results of empirical investigations assert that in the late 21st century unabated global warming would have a negative impact on global agricultural production in the aggregate and the impact could be severe if carbon fertilization benefits do not materialize, especially if water scarcity limits irrigation. In addition, if warming would not halt in the 2080s, but would continue on a path toward still higher global temperatures in the 22nd century, agricultural damage could be more severe. The study also shows that the composition of agricultural effects is likely to be seriously unfavorable to developing countries with the most severe losses in Africa, Latin America and India.
About the author
Mohammad A. Ashraf, profesor asistente, United International University (UIU), Bangladesh: recibió un título de B.Sc. (Hons.) En Economía Agrícola, Universidad Agrícola de Bangladesh (BAU) y Maestría en Economía, Universidad de Ottawa (uOttawa), Canadá. Actualmente, investigador de doctorado, Universidad del Norte de Malasia (UUM).
