This report analyses the experiences and lessons from three World Bank-Supported watershed development projects in the Indian states of Karnataka, Himachal Pradesh, and Uttarakhand.5 The primary reason for the analysis was to guide the development and execution of new watershed programs in India, including new Bank-supported state-level operations in Uttarakhand and Karnataka, and a proposed national project now under preparation.
The Webinar with Universities on Capacity Development for Agricultural Innovation - Bringing System-wide Change in Asia-Pacific took place on 16 November 2017, 13:00hrs (CET) under the Tropical Agriculture Platform (TAP) hosted by the Food and Agriculture Organization of the United Nations (FAO). The Asia-Pacific Association of Agricultural Research Institutions (APAARI) organized and moderated the webinar, with support from FAO, the Global Confederation of Higher Education Associations for Agricultural and Life Sciences (GCHERA) and Global Forum for Agricultural Research (GFAR).
In the Amazon, slash and burn is the most common technique used by American-Indians, small farmers and even big ranches to transform forests into rural landscapes. The basis of food subsistence for diverse populations (rice, corn and bean), slash and burn is also a must for the plantation of cocoa, coffee, palms and pastures. The Amazonian rural landscape is currently dominated by pastures, occupying around 80 % of the deforested surface.
This paper briefly reviews three conceptual frameworks: namely, the national agricultural research system (NARS), the agricultural knowledge and information system (AKIS) and the agricultural innovation system (AIS) concepts. Next, the paper reviews the definition of ‘innovation’ and proposes that agricultural innovation can occur at four different but interlinked domains.
Research-based evidence on the adoption of climate-smart agricultural practices is vital to their effective uptake, continued use and wider diffusion. In addition, an enabling policy environment at the national and regional levels is necessary for this evidence to be used effectively. This chapter analyzes a 4-year period of continuous policy engagement in East Africa in an attempt to understand the role of multi-stakeholder platforms (MSPs) in facilitating an enabling policy environment for climate change adaptation and mitigation.
What are key characteristics of rural innovators? How are their experiences similar for women and men, and how are they different? To examine these questions, this study draw on individual interviews with 336 rural women and men known in their communities for trying out new things in agriculture. The data form part of 84 GENNOVATE community case studies from 19 countries. Building on study participants’ own reflections and experiences with innovation in their agricultural livelihoods, we combine variable-oriented analysis and analysis of specific individuals’ lived experience.
The world’s population is likely to reach 9 billion by the middle of this century. The Food and Agriculture Organization of the United Nations (FAO) believes that 60 per cent more food will be needed by 2050 to sustain all these people. Where possible, this food should be produced where it is needed – in developing countries.
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.
The purpose of this research was designed to investigate the impact of e-Agriculture on farmers of Bangladesh. Empowerment is stratified as economic, family and social, political, knowledge and psychological empowerment. Data were collected in Bhatbour Block of Dhighi union under Sadar Upazila of Minikganj District. Data were collected in two phases from the same group of respondents (in August, 2013 and September, 2015). Two sample t test and step-wise multiple regression method were used for analysis.
In this chapter, it is applied the CGPE model to analyzing the performance of policy processes with respect to the production of efficient policy choices. Within the CGPE approach participation of stakeholder organizations is modeled in two ways. First, as classical lobbying influence and second as informational influence within a model of political belief formation.