This paper examines different practical methods for stakeholders to analyse power dynamics in multi-stakeholders processes (MSPs), taking into account the ambiguous and uncertain nature of complex adaptive systems. It reflects on an action learning programme which focused on 12 cases in Africa and Asia put forward by 6 Dutch development non-governmental organizations (NGOs).
The Sourcebook is the outcome of joint planning, continued interest in gender and agriculture, and concerted efforts by the World Bank, FAO, and IFAD. The purpose of the Sourcebook is to act as a guide for practitioners and technical staff inaddressing gender issues and integrating gender-responsive actions in the design and implementation of agricultural projects and programs. It speaks not with gender specialists on how to improve their skills but rather reaches out to technical experts to guide them in thinking through how to integrate gender dimensions into their operations.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).
The advancement of agriculture sector in one region cannot be separated from the role of agricultural extension in the region. To cover the deficiency of agricultural extension agents, self-supporting extension agents are recruited from farmers or private parties. This study aims to analyze the role of self-supporting instructors in improving farmer institutions and analyze factors related to the role of self-supporting extension agents in improving farmer institutions.
This research aimed to figure out the attitude and readiness of agriculture extension officers in using the Information and Communication Technology. Data collection was done through a survey with total sample 60 respondents. Data gained were primary data from questionnaire filling by respondents who were all extension officers in Food Security and Extension Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test.
The publication reviews forty years of development experience and concludes that donors and partner countries alike have tended to look at capacity development as mainly a technical process, or as a transfer of knowledge or institutions from North to South.
This note is part of the Global Good Practices Initiative, which aims to provide information about extension approaches and methods in easy-to-understand formats. It focuses on Innovation Platforms, examining in particular two case studies: the Ghana Oil Palm platform and the Research Into Use (RIU) programme in Tanzania.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.
This paper draws on data collected during 12 months of fieldwork in Northern Ghana. The fieldwork researched two communities in two districts of Northern Ghana and three Agricultural Development Agencies (ADA); Savanna Agricultural Research Institute (SARI), the Ministry of Food and Agriculture (MOFA) and World Vision Ghana (WVG). Data collection was achieved through formal surveys, Focus Group Discussions (FGDs) and observations. A total of 120 individual interviews were conducted for the formal survey guided by the questionnaire.