Le présent rapport concerne l’évaluation finale du projet «Intégration de la résilience climatique dans la production agricole et pastorale pour la sécurité alimentaire dans les zones rurales vulnérables à travers l’approche des champs-écoles des producteurs» (GCP/NER/043/LDF) financé par le Fonds pour l’environnement mondial (FEM) et exécuté conjointement par l’Organisation des Nations Unies pour l'alimentation et l'agriculture (FAO) et le Gouvernement du Niger de 2015 à 2021.
This study uses 344 women and men survey respondents involved in conservation agriculture (CA) and small-scale irrigation schemes (SSIS) as data sources for examining the effect of gendered constraints for adopting climate-smart agriculture amongst women in three areas in Ethiopia. Qualitative and quantitative data collections were applied using survey, in-depth interviews and focus group discussions. Quantitative data were analyzed using descriptive statistics, Pearson's chi-square test and binary logistic regression using statistical software for the social sciences (SPSS) version 24.
Agriculture remains the mainstay of Indian economy and major source of livelihood of rural household, predominantly by small and marginal farmers, and securing the food and nutritional security. This paper describes the reality of small and marginal farmers in India. These farmers face several problems of credit, input supply, proper linkage with market as so on. Women farmers are lagging behind in adopting the drudgery reduction technologies followed by health and nutrition of farm families.
At present, agricultural policies in Kenya often ignore specific target groups because there is a lack of contextual information on farmers’ specific socio-economic conditions. The aim of this study was to fill this knowledge gap by answering the following research questions: 1. What determines the adaptive capacity of AIV farmers in Kenya? 2. How does access to capital assets differ by farming household characteristics and between the selected areas? 3. What are the AC levels of AIV farmers in the selected zones of Kenya? 4.
In this study the farmers were first asked to answer two sets of statements related to views on climate change and experiences on changes so far in their own farm or nearby locations.
The EU rural development policy has addressed challenges related to climate change in agriculture by introducing public voluntary schemes, which financially support the adoption of climate-smart agricultural practices. Several factors, most of which are non-financial ones, drive adoption and continuation of these schemes by farmers. Despite the importance of these factors, only a few studies explore their role in the European context. This paper contributes to filling this gap from a twofold perspective.
Literature is scanty on how public agricultural investments can help reducing the impact of future challenges such as climate change and population pressure on national economies. The objective of this study is to assess the medium and long-term effects of alternative agricultural research and development investment scenarios on male and female employment in 14 African countries. The authors first estimate the effects of agricultural investment scenarios on the overall GDP growth of a given country using partial and general equilibrium models.
Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders.
ecause the climate has been rapidly changing and undermining the sustainability of the agriculture sector, Agricultural Extension and Rural Advisory Services (AERAS) need to rethink their contemporary roles and initiatives. Although enhancing agricultural innovation is considered a key process to increase farm income and ensure sustainability under complex climate-affected development conditions, little is known how AERAS can support the process in the said context. A broad range of literature was reviewed and a deductive coding approach was followed to analyze the literature.