The following contents were included in this newsletter (April–June 2014): the International Institute of Tropical Agriculture (IITA) held a two-day workshop on Engagement of Youth Entrepreneurship for Agricultural Transformation in Africa, from 28-30 May at IITA, Ibadan, Nigeria; cassava processing factory was established at the IITA Kalambo station in DR. Congo; project coordinator visits sites to evaluate project activities in Tanzania; stories on cassava, rice, wheat and maize were detailed.
Although the benefits of genetically modified (GM) crops have been well documented, how do farmers manage the risk of new technology in the early stages of technology adoption has received less attention. We compare the total factor productivity (TFP) of cotton to other major crops (wheat, rice, and corn) in China between 1990 and 2015, showing that the TFP growth of cotton production is significantly different from all other crops. In particular, the TFP of cotton production increased rapidly in the early 1990s then declined slightly around 2000 and rose again.
Past studies showing that barriers to farmers’ adaptation behaviors are focused on their socio-economic factors and resource availability. Meanwhile, psychological and social considerations are sparingly mentioned, especially for the related studies in developing countries. This study investigates the impact of psychological factors and social appraisal on farmers’ behavioral intention to adopt adaptation measures for the aforementioned reason, due to climate change and not to anthropogenic climate change.
Agricultural production is a crucial and fundamental aspect of a stable society in China that depends heavily on the climate situation. With the desire to achieve future sustainable development, China’s government is taking actions to adapt to climate change and to ensure food self-sufficiency.
The challenge of food security in Nigeria hinges on several factors of which poor technical efficiency is key. Using a stochastic frontier framework, we estimated the technical efficiency of agricultural households in Nigeria and tested for the significance of mean technical efficiency of food-secure and food-insecure agricultural households. We further assessed the determinants of agricultural households’ inefficiencies within the stochastic frontier model and adopted a standard probit model to assess the determinants of households’ food security status.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
In many countries of the world, technology plays a leading role in the transformation of businesses. This study adopts a survey of literature in agriculture sector and gives certain recommendations which are evolved after descriptive analysis of literature. After systematic review of literature in Chinese, Pakistani and Nigerian context, our paper describes that agricultural policy and agricultural funding are connected to many problems in agriculture field and needs social and strategic steps to be taken particularly in Nigeria.
In the context of an exponential rise in access to information in the last two decades, this special issue explores when and how information might be harnessed to improve governance and public service delivery in rural areas. Information is a critical component of government and citizens’ decision-making; therefore, improvements in its availability and reliability stand to benefit many dimensions of governance, including service delivery.
Fall Armyworm (Spodoptera frugiperda), or FAW, is an insect native to tropical and subtropical regions of the Americas. In the absence of natural controls or good management, it can cause significant damage to crops. It prefers maize, although it can feed on more than 80 additional species of crops including rice, sorghum, millet, sugarcane, vegetable crops and cotton.
Rapid appraisal of agricultural innovation systems (RAAIS) is a participatory, diagnostic tool for integrated analysis of complex agricultural problems. RAAIS facilitates interaction between different groups of stakeholders in collecting and analysing data. The poster briefs what RAAIS is, when to use it, what is available and where it has been used.