This study investigates possible climate change patterns over the period 2040 to 2070 in order to assess the potential economic impacts for crop-livestock integrating and non-integrating farmers in Mzimba district in northern Malawi. Thirty year historical climate data were used with 20 Global Circulation Models (GCM) to generate plausible future climates. Future maize yields then were simulated using the APSIM crop model. The Trade-Off Analysis model for Multi-Dimensional Impact Assessment (TOA-MD) framework was used with the crop model results for economic analysis.

Contract farming has received renewed attention recently as developing economies try to grapple with how to transform the agricultural sector and its associated value chains. This book examines different contract arrangements for selected crops, applying both qualitative and quantitative approaches in order to examine how contract farming affects smallholders and value chain dynamics in Tanzania. Major themes covered in the book include: contract farming policy; contract farming and value chain dynamics; contract farming adoption decisions; contract farming and income diversification. The authors also discuss alternative aspects of contract farming such as trust, conspiracy, empowerment and corporate social responsibility. The book presents original research from case studies conducted in Tanzania on sugarcane, tobacco, sunflower and cotton. These crops have a history of trials and errors with contract farming involving smallholders. Furthermore, they are targeted in national strategies as some of the main crops for establishment and upgrading of agro-industrial activities in Tanzania.