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Intended for policymakers and scholars, the 15 contributions in this volume are divided into two sections: the first provides six country case studies of the evolving maize economies of Zimbabwe, Zambia, Malawi, Kenya, Ghana, and Nigeria. The second part synthesizes major technological, institutional, and policy issues with chapters on research and extension, soil fertility, seed and fertilizer delivery systems, and marketing and price policy. Paper edition (754-0), $29.95. Annotation copyrighted by Book News, Inc., Portland, OR
Maize is an important food crop in Ghana, accounting for more than 50 percent of the country’s total cereal production. The Ghana Grains Development Project (1979–1997) and the Food Crops Development Project (2000–2008) made major investments to improve maize yield. Despite these efforts, the average maize yield in Ghana remains one of the lowest in the world, much lower than the average for Africa south of the Sahara.
The agricultural production of Indian farmers is investigated using a stochastic frontier production function which incorporates a model for the technical inefficiency effects. Farm-level data from the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) are used. Variables considered in the model for the inefficiency effects include the age and level of education of the farmers, farm size and the year of observation. The parameters of the stochastic frontier production function are estimated simultaneously with those involved in the model for the inefficiency effects. This approach differs from the usual practice of predicting farm-level inefficiency effects and then regressing these upon various factors in a second-stage of modelling. The results indicate that the above factors do have a significant influence upon the inefficiency effects of farmers in two of the three villages considered.
At the same time, many other smallholders are successfully intensifying and succeeding as farm businesses, often in combination with diversification into off-farm sources of income.
"The conference was organized by the three editors of this book and took place on August 15-16, 2012 in Seattle."--Preface.
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.
This book offers an up-to-date review of our current understanding of climate change in the North Sea and adjacent areas, as well as its impact on ecosystems and socio-economic sectors. It provides a detailed assessment of climate change based on published scientific work compiled by independent international experts from climate-related disciplines such as oceanography, atmospheric sciences, marine and terrestrial ecology, using a regional evaluation and review process similar to that of the Intergovernmental Panel on Climate Change (IPCC). It provides a comprehensive overview of all aspects of our changing climate, discussing a wide range of topics including past, current and future climate change, and climate-related changes in marine, terrestrial and freshwater ecosystems. It also explores the impact of climate change on socio-economic sectors such as fisheries, agriculture, coastal zone management, coastal protection, urban climate, recreation/tourism, offshore activities/energy, and air pollution.
Research Paper (postgraduate) from the year 2021 in the subject Agrarian Studies, , language: English, abstract: Farming is the way of life for smallholder farmers of Ethiopian which is characterized with low productivity. Thus poor are failing to achieve rapid economic growth due to food insecurity. Hence the best possible means of achieving economic development is through increasing sustainable allocation resource efficiency. This study employed stochastic frointer approach to assess the levels of efficiency and Tobit model to assess the determinants of efficiency by collecting data from 154 sample household in Gudeya Bila district, western parts of Ethiopia.