{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/64358"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/64358","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Risk Aversion and Adoption of Conservation Agriculture Practices in Eastern Uganda","abstract":"Many poor farmers, especially in Africa, have not adopted recent farming innovations to improve their yields. One theory is that poor farmers are risk averse and therefore do not invest in high risk high return innovations and that risk averse farmers will only adopt larger innovations if they experience success with small ones. Risk preferences were measured in two districts in Uganda (Tororo and Kapchorwa) where adoption of agricultural innovations has been slow, and where a program is underway to encourage use of conservation agriculture practices (CAPs) to reduce soil erosion and sequester carbon. An ordered lottery selection was used to measure risk preferences and an ordered probit model was estimated. Thirty five percent of a random sample of 200 farmers in Tororo (and fifty three percent of 200 farmers in Kapchorwa) made lottery choices that implied severe or extreme risk aversion. However there was no indication that risk preferences correlate with willingness to adopt new technologies (such as CAPs). Neither wealth nor previous success with technology adoption were found to correlate with farmers' risk preferences.","abstract_html":"Many poor farmers, especially in Africa, have not adopted recent farming innovations to improve their yields. One theory is that poor farmers are risk averse and therefore do not invest in high risk high return innovations and that risk averse farmers will only adopt larger innovations if they experience success with small ones. Risk preferences were measured in two districts in Uganda (Tororo and Kapchorwa) where adoption of agricultural innovations has been slow, and where a program is underway to encourage use of conservation agriculture practices (CAPs) to reduce soil erosion and sequester carbon. An ordered lottery selection was used to measure risk preferences and an ordered probit model was estimated. Thirty five percent of a random sample of 200 farmers in Tororo (and fifty three percent of 200 farmers in Kapchorwa) made lottery choices that implied severe or extreme risk aversion. However there was no indication that risk preferences correlate with willingness to adopt new technologies (such as CAPs). Neither wealth nor previous success with technology adoption were found to correlate with farmers' risk preferences.","abstract_has_math":false,"creators":["Weixler-Landis, Barry"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Agricultural and Applied Economics","degree_department":"Agricultural and Applied Economics","school":null,"contributors":[],"advisors":[],"committee_chairs":["Norton, George W."],"committee_members":["Alwang, Jeffrey R.","Bosch, Darrell J."],"year":2014,"date_issued":"2014-07-03","date_published":"2014-07-03","updated_at":"2026-07-22T22:18:44Z","subjects":["Partial Risk Aversion","Ordered Lottery Selection","Ordered Probit"],"languages":[],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["8329"],"render_values":[{"text":"8329","href":null,"code":true}]},{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:3135"],"render_values":[{"text":"vt_gsexam:3135","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/64358","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Norton, George W."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Alwang, Jeffrey R.","Bosch, Darrell J."]},{"key":"dc:contributor.department","label":"Department","values":["Agricultural and Applied Economics"]},{"key":"dc:creator","label":"Author","values":["Weixler-Landis, Barry"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2015-12-26T07:00:12Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2015-12-26T07:00:12Z"]},{"key":"dc:date.issued","label":"Date","values":["2014-07-03"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural and Applied Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Partial Risk Aversion","Ordered Lottery Selection","Ordered Probit"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["8329"]},{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:3135"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/64358"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Many poor farmers, especially in Africa, have not adopted recent farming innovations to improve their yields. One theory is that poor farmers are risk averse and therefore do not invest in high risk high return innovations and that risk averse farmers will only adopt larger innovations if they experience success with small ones. Risk preferences were measured in two districts in Uganda (Tororo and Kapchorwa) where adoption of agricultural innovations has been slow, and where a program is underway to encourage use of conservation agriculture practices (CAPs) to reduce soil erosion and sequester carbon. An ordered lottery selection was used to measure risk preferences and an ordered probit model was estimated. Thirty five percent of a random sample of 200 farmers in Tororo (and fifty three percent of 200 farmers in Kapchorwa) made lottery choices that implied severe or extreme risk aversion. However there was no indication that risk preferences correlate with willingness to adopt new technologies (such as CAPs). 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One theory is that poor farmers are risk averse and therefore do not invest in high risk high return innovations and that risk averse farmers will only adopt larger innovations if they experience success with small ones. Risk preferences were measured in two districts in Uganda (Tororo and Kapchorwa) where adoption of agricultural innovations has been slow, and where a program is underway to encourage use of conservation agriculture practices (CAPs) to reduce soil erosion and sequester carbon. An ordered lottery selection was used to measure risk preferences and an ordered probit model was estimated. Thirty five percent of a random sample of 200 farmers in Tororo (and fifty three percent of 200 farmers in Kapchorwa) made lottery choices that implied severe or extreme risk aversion. However there was no indication that risk preferences correlate with willingness to adopt new technologies (such as CAPs). 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