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Doctoral Dissertation Research: Calculated, Constrained, and Co-Opted Decisions: Explaining Agricultural Behavior of Malawian Farmers in Times of Uncertainty

Doctoral Dissertation Research: Calculated, Constrained, and Co-Opted Decisions: Explaining Agricultural Behavior of Malawian Farmers in Times of Uncertainty
博士论文研究:计算、约束和增选决策:解释马拉维农民在不确定时期的农业行为
批准号:
1227812
负责人:
Bram Tucker
金额:
$2.26万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-15 至 2014-01-31

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中文摘要
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英文摘要
University of Georgia doctoral student Joseph W. Lanning, under the guidance of Dr. Bram Tucker, will conduct research that addresses a classic but important debate about how individuals make decisions. Are they rational, economic decision makers who, given certain constraints, carefully calculate costs and benefits or do they make decisions as social actors who are embedded in networks and structures that share low-cost, but potentially flawed, strategies? The research will be conducted among farmers in Malawi who are challenged by persistent hunger, uncertain prices for agricultural inputs, and decreasing soil fertility. Farmers are faced with decisions to invest in hybrid seeds and chemical fertilizer or to use alternatives, like planting legumes, to increase soil fertility and maintain yields. The researcher asks how variation in agricultural behavior among Malawian farmers is explained by (1) economic and environmental constraints, (2) ethno-agricultural knowledge of cause and effect, (3) attitude towards risk, or by (4) a farmer's use of decision-making short cuts such as just imitating what other farmers in their social networks do. The project will begin with a census recording basic demographics and the slope (flat, gentle, steep) of a farmer's primary maize field. A sample of farmers from the census, capturing variation in field slope, will participate in field mapping and semi-structured interviews, focused on economic and environmental constraints. An historical matrix exercise will explore perceptions of agricultural cause and effect relationships, while a small-stakes choice experiment will measure attitudes towards risk. Social network analysis will be used to examine the interactions with and influence of prestigious and successful farmers in each network. This project contributes to the development of decision-making models that unravel the degree to which ecological/economic variables versus social variables influence behavior. Revealing the determinants to investment in agriculture may be instrumental in the design of strategies that promote behaviors that maintain yields while preventing environmental decay or exacerbation of social and economic inequality.
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