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JournalISSN: 1993-3738

African Journal of Agricultural and Resource Economics 

About: African Journal of Agricultural and Resource Economics is an academic journal. The journal publishes majorly in the area(s): Agriculture & Productivity. It has an ISSN identifier of 1993-3738. Over the lifetime, 271 publications have been published receiving 5018 citations. The journal is also known as: Journal africain d'économie agricole des ressources & AFJARE.


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Posted ContentDOI
TL;DR: This paper analyzed determinants of farm-level climate adaptation measures in Africa using a multinomial choice model fitted to data from a cross-sectional survey of over 8000 farms from 11 African countries.
Abstract: This study analyzed determinants of farm-level climate adaptation measures in Africa using a multinomial choice model fitted to data from a cross-sectional survey of over 8000 farms from 11 African countries. The results indicate that specialized crop cultivation (mono-cropping) is the agricultural practice most vulnerable to climate change in Africa. Warming, especially in summer, poses the highest risk. It encourages irrigation, multiple cropping and integration of livestock. Increased precipitation reduces the probability of irrigation and will benefit most African farms, especially in drier areas. Better access to markets, extension and credit services, technology and farm assets (labor, land and capital) are critical for helping African farmers adapt to climate change. Government policies and investment strategies must support education, markets, credit and information about adaptation to climate change, including technological and institutional methods, particularly for poor farmers in the dry areas of Africa.

766 citations

Posted ContentDOI
TL;DR: In this article, the authors examined factors that influence the intensity of market participation among smallholder farmers in Kenya and found that farmers in peri-urban areas sold higher proportions of their output than those in rural areas.
Abstract: Participation in commercial agriculture holds considerable potential for unlocking suitable opportunity sets necessary for providing better incomes and sustainable livelihoods for smallscale farmers. This study examined factors that influence the intensity of market participation among smallholder farmers in Kenya. Data was obtained through a rapid rural appraisal and a household survey. A truncated regression model was applied in the analysis. Results showed that farmers in peri-urban areas sold higher proportions of their output than those in rural areas. Distance from farm to point of sale is a major constraint to the intensity of market participation. Better output price and market information are key incentives for increased sales. These findings demonstrate the urgent need to strengthen market information delivery systems, upgrade roads in both rural and peri-urban areas, encourage market integration initiatives, and establish more retail outlets with improved market facilities in the remote rural villages in order to promote production and trade in high value commodities by rural farmers.

297 citations

BookDOI
TL;DR: In this article, the authors examined the impact of climate change on cropland in Africa using a Ricardian cross-sectional approach in which net revenue is regressed on climate, water flow, soil, and economic variables.
Abstract: This study examines the impact of climate change on cropland in Africa. It is based on a survey of more than 9,000 farmers in 11 countries: Burkina Faso, Cameroon, Egypt, Ethiopia, Ghana, Kenya, Niger, Senegal, South Africa, Zambia, and Zimbabwe. The study uses a Ricardian cross-sectional approach in which net revenue is regressed on climate, water flow, soil, and economic variables. The results show that net revenues fall as precipitation falls or as temperatures warm across all the surveyed farms. In addition to examining all farms together, the study examined dryland and irrigated farms separately. Dryland farms are especially climate sensitive. Irrigated farms have a positive immediate response to warming because they are located in relatively cool parts of Africa. The study also examined some simple climate scenarios to see how Africa would respond to climate change. These uniform scenarios assume that only one aspect of climate changes and the change is uniform across all of Africa. In addition, the study examined three climate change scenarios from Atmospheric Oceanic General Circulation Models. These scenarios predicted changes in climate in each country over time. Not all countries are equally vulnerable to climate change. First, the climate scenarios predict different temperature and precipitation changes in each country. Second, it is also important whether a country is already hot and dry. Third, the extent to which farms are irrigated is also important.

221 citations

Posted ContentDOI
TL;DR: The authors examined the impact of climate change on primary crops grown in Africa and found that farmers shift the crops they plant to match the climate they face and that failure to account for crop switching will overestimate the damages from climate change and underestimate the benefits.
Abstract: This paper examines the impact of climate change on primary crops grown in Africa An innovative approach is presented that bridges the gap between agro-economic and traditional Ricardian models We label it a ‘structural Ricardian model’ It first captures the type of crop a farmer will select and then examines the conditional net revenue of that crop The model is estimated using a sample of over 5000 farmers across 11 countries in Africa The analysis finds that farmers shift the crops they plant to match the climate they face Studies that fail to account for crop switching will overestimate the damages from climate change and underestimate the benefits

192 citations

Posted ContentDOI
TL;DR: This paper used cluster analysis methods to operationalize the concept of livelihood strategies in household data and then uses the resulting strategy-specific income distributions to test whether the hypothesized outcome differences between livelihoods indeed exist.
Abstract: The concept of a livelihood strategy has become central to development practice in recent years. Nonetheless, precise identification of livelihoods in quantitative data has remained methodologically elusive. This paper uses cluster analysis methods to operationalize the concept of livelihood strategies in household data and then uses the resulting strategy-specific income distributions to test whether the hypothesized outcome differences between livelihoods indeed exist. Using data from Kenya’s central and western highlands, we identify five distinct livelihood strategies that exhibit statistically significant differences in mean per capita incomes and stochastic dominance orderings that establish clear welfare rankings among livelihood strategies. Multinomial regression analysis identifies geographic, demographic and financial determinants of livelihood choice. The results should facilitate targeting of interventions designed to improve household livelihoods.

170 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20236
202224
20214
202013
201919
201825