Agricultural Technology, Productivity and Poverty in Madagascar

By B. Minten, Christopher B. Barrett. 2008

441 citations recorded by the source corpus.

Subfields: General Agricultural and Biological Sciences, Soil Science

View Paper: https://www.semanticscholar.org/paper/5cb32701f60ed864ac4f50599a62b61006d3bc74

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In General Agricultural and Biological Sciences

In Soil Science

Citations in the corpus

Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar (2014, background): “These range from high-level transformations (such as changes in agricultural policies, economic development policies, poverty reduction strategies, public safety nets, market reforms, institutional arrangements and governance structures; [5,8,12,14,18,27]) to more local-level actions, which aim to d”
Agricultural Productivity and Poverty Reduction: Linkages and Pathways (2011, positive): “Minten and Barrett (2008) find similar evidence in Madagascar with regard to rice, which is largely nontradable due to high marketing and transport costs.”
Adoption and continued use of improved maize seeds: Case study of Central Ethiopia (2010, background): “One effective way to increase agricultural productivity is through wider adoption of new farming technologies (Minten and Barrett, 2008).”
Tradeoffs and Complementarities in the Adoption of Improved Seeds, Fertilizer, and Natural Resource Management Technologies in Kenya (2016, background): “In addition, agricultural technologies can contribute to poverty reduction, by raising the incomes of farm households and, in some cases, providing new employment opportunities for landless laborers (Winters et al., 1998; De Janvry and Sadoulet, 2001; Minten and Barrett, 2008; Noltze et al., 2013).”
The impact of agricultural cooperatives membership on the wellbeing of smallholder farmers: empirical evidence from eastern Ethiopia (2017, background): “…productivity is important for enhancing farmer livelihood, reducing rural poverty, and increasing food security (Shiferaw et al. 2014; Zeng et al. 2015; Asfaw et al. 2012; Kassie et al. 2011; Becerril and Abdulai 2010; Alene et al. 2009; Minten and Barrett 2008; Evenson and Gollin 2003).”
Evaluating the impact of improved maize varieties on food security in Rural Tanzania: Evidence from a continuous treatment approach (2014, positive): “In sub-Saharan Africa, where questions are often raised about the adoption and impact of agricultural technology, quantitative evidence of the relationship between agricultural technology and household welfare is scarce (Minten and Barrett 2008).”
Green Revolution in Sub-Saharan Africa: Implications of Imposed Innovation for the Wellbeing of Rural Smallholders (2016, background): “…as the only pathway to long-term and pro-poor economic development in SSA, by driving growth in the wider economy and allowing for absorption of excess labor through growth in the rural nonfarm economy (Adelman, 1984; Collier & Dercon, 2014; Diao, Hazell, & Thurlow, 2010; Minten & Barrett, 2008).”
Adoption of Modern Agricultural Production Technologies by Farm Households in Ghana: What Factors Influence their Decisions? (2012, background): “…instance David and Otsuka, 1994; Datt and Ravallion, 1998a, 1998b; DeJanvry and Sadoulet, 2002; Evenson and Gollin, 2003; Moser and Barrett, 2003; Minten and Barrett, 2008; among others) is an indication that improved technology adoption for agricultural transformation and poverty reduction is…”
Market inefficiencies and the adoption of agricultural technologies in developing countries 1 (2013, background): “Minten and Barrett (2008) show that farmers are most likely to take on a new crop variety if they have other sources of stable income to offset the risk of experimentation.”
Spatial integration at multiple scales: rice markets in Madagascar (2009, neutral): “This is consistent with other recent studies that find considerable isolation of parts of rural Madagascar entail significant welfare costs (Razafindravonona et al. 2001, Minten and Barrett 2008, Stifel forthcoming).”
Reconsidering Conventional Explanations of the Inverse Productivity-Size Relationship (2009, background): “Yield on the average plot was about 3.7 metric tons of rice per hectare, considerably higher than the national average of about 2.1 metric tons per hectare (Minten & Barrett, 2008).”