institutional framework of in action against land degradation

While econometric and spatial data are increasingly helpful to quantify and locate the extent and costs of land degradation, there is still little understanding of the contextual factors that determine or influence the land users' practices that aggravate or counteract land degradation. In this chapter, we take an institutional economic approach to analyse the persistence of degrading practices, the low adoption of sustainable land management (SLM), or the eventual organisational reaction to land degradation. The chapter reviews four examples of land degradation in different contexts to reveal the multiple driving forces and contextual factors. We then propose a conceptual framework to better understand the incentive structure and factors determining the land users' decision making. A layered analysis of the social phenomena is applied, following Williamson (2000). The chapter shows how actions at different layers can help improve land management. The chapter concludes with practical recommendations for the institutional economic analysis of land degradation

Effects of social network factors on information acquisition and adoption of improved groundnut varieties: the case of Uganda and Kenya

Univ Talca, Dept Agr Econ, Talca, Chile. Bravo-Ureta, BE (Bravo-Ureta, Boris E.)Social networks play a significant role in learning and thus in farmers' adoption of new agricultural technologies. This study examined the effects of social network factors on information acquisition and adoption of new seed varieties among groundnut farmers in Uganda and Kenya. The data were generated through face-to-face interviews from a random sample of 461 farmers, 232 in Uganda and 229 in Kenya. To assess these effects two alternative econometric models were used: a seemingly unrelated bivariate probit (SUBP) model and a recursive bivariate probit (RBP) model. The statistical evaluation of the SUBP shows that information acquisition and adoption decisions are interrelated while tests for the RBP do not support this latter model. Therefore, the analysis is based on the results obtained from the SUBP. These results reveal that social network factors, particularly weak ties with external support (e.g., researchers, extension agents, etc.), partially influence information acquisition, but do not influence adoption. In Uganda, external support, gender, farm size, and geographic location have an impact on information acquisition. In Kenya, external support and geographic location also have an impact on information acquisition. With regard to adoption, gender, household size, and geographic location play the most important roles for Ugandan farmers, while in Kenya information from external sources, education, and farm size affect adoption choice. The study provides insight on the importance of external weak ties in groundnut farming, and a need to understand regional differences along gender lines while developing agricultural strategies. This study further illustrates the importance of farmer participation in applied technology research and the impact of social interactions among farmers and external agents