{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/69875"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/69875","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Economic Impact of Commercial Application of Biotechnology on Selected Crops","abstract":"Embargo set by: Seth Robbins for item 70041 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","abstract_html":"Embargo set by: Seth Robbins for item 70041 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","abstract_has_math":false,"creators":["Florkowski, Wojciech Jan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Agricultural Economics","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-15T20:29:05Z","date_published":"2014-12-15T20:29:05Z","updated_at":"2026-07-22T22:26:01Z","subjects":["Economics, Agricultural"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(UMI)AAI8701488"],"render_values":[{"text":"(UMI)AAI8701488","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/69875","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Florkowski, Wojciech Jan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-12-15T20:29:05Z","10000-01-01","1986"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Economics, Agricultural"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/69875","(UMI)AAI8701488"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Embargo set by: Seth Robbins for item 70041 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","282 p.","A small number of studies concerning the effects of agricultural biotechnology have been published. They provide a limited amount of information to potential investors allocating resources to different areas of biotechnology research. The lack of detailed analysis of biotechnology's impact on agriculture is, in part, due to the lack of information about when specific biotechnological advances will occur. Therefore a survey of scientists was conducted in order to predict when various agricultural biotechnologies will become available, the expected change in yield, the change in input use, and the patentability of the new technology.","The information gathered by the survey was used in specifying a price-endogenous linear programming model of the United States field crop sector. The objective function of the model maximized the total producer and consumer welfare, subject to the resource constraints. The resource constraints included the amount of land available in each land capability class in 10 agricultural production regions in the United States, commodity balances, and demand convexity constraints.","The benchmark model was validated by comparison with the 1982 actual as well as the long term levels of acreage harvested, output and price. It was then used for predicting the impact of the commercial application of the twelve technologies.","Solutions were obtained which predicted shifts in land allocation among regions, changes in quantities supplied, and changes in prices. The effect of each biotechnology on producer and consumer surplus varies but the net effect of each is always an increase in total welfare.","Made available in DSpace on 2014-12-15T20:29:05Z (GMT). No. of bitstreams: 1 8701488.pdf: 8896871 bytes, checksum: 74574ce66becb07ad71be9a4bc5956db (MD5) Previous issue date: 1986","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1986."]},{"key":"dc:title","label":"Title","values":["Economic Impact of Commercial Application of Biotechnology on Selected Crops"]}]}],"canonical_facts":{"dc:creator":["Florkowski, Wojciech Jan"],"dc:date":["2014-12-15T20:29:05Z","10000-01-01","1986"],"dc:description":["Embargo set by: Seth Robbins for item 70041 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","282 p.","A small number of studies concerning the effects of agricultural biotechnology have been published. They provide a limited amount of information to potential investors allocating resources to different areas of biotechnology research. The lack of detailed analysis of biotechnology's impact on agriculture is, in part, due to the lack of information about when specific biotechnological advances will occur. Therefore a survey of scientists was conducted in order to predict when various agricultural biotechnologies will become available, the expected change in yield, the change in input use, and the patentability of the new technology.","The information gathered by the survey was used in specifying a price-endogenous linear programming model of the United States field crop sector. The objective function of the model maximized the total producer and consumer welfare, subject to the resource constraints. The resource constraints included the amount of land available in each land capability class in 10 agricultural production regions in the United States, commodity balances, and demand convexity constraints.","The benchmark model was validated by comparison with the 1982 actual as well as the long term levels of acreage harvested, output and price. It was then used for predicting the impact of the commercial application of the twelve technologies.","Solutions were obtained which predicted shifts in land allocation among regions, changes in quantities supplied, and changes in prices. The effect of each biotechnology on producer and consumer surplus varies but the net effect of each is always an increase in total welfare.","Made available in DSpace on 2014-12-15T20:29:05Z (GMT). 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