{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/72814"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/72814","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Developing a Farm Income Projection Model for Illinois farms to determine advantages of the Agricultural Act of 2014's farm safety net options","abstract":"The Farm Income Projection Model is intended to model the effects of the new provisions in the Agricultural Act of 2014, particularly in the farm safety net area, on the financial statements of case farms located throughout Illinois. The Farm Income Projection Model is detailed, and can be made to accurately represent a specific size grain farm located in all counties in the state of Illinois. The model produces financial statements for a five year projection. These statements include budgets, balance sheets, income statements, cash flows, and capital repayment capacities. The results from the model are dependent on the several inputs including farm size, location, crops planted, base acres, expense adjustments, yields, prices, crop insurance products, and Farm Bill policies. Specific case grain farms were selected to include a variety of locations, sizes, and rotations that are run with price scenarios and compare the different Agricultural Act of 2014 choices.","abstract_html":"The Farm Income Projection Model is intended to model the effects of the new provisions in the Agricultural Act of 2014, particularly in the farm safety net area, on the financial statements of case farms located throughout Illinois. The Farm Income Projection Model is detailed, and can be made to accurately represent a specific size grain farm located in all counties in the state of Illinois. The model produces financial statements for a five year projection. These statements include budgets, balance sheets, income statements, cash flows, and capital repayment capacities. The results from the model are dependent on the several inputs including farm size, location, crops planted, base acres, expense adjustments, yields, prices, crop insurance products, and Farm Bill policies. Specific case grain farms were selected to include a variety of locations, sizes, and rotations that are run with price scenarios and compare the different Agricultural Act of 2014 choices.","abstract_has_math":false,"creators":["Kelly, Patrick"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Agricultural & Applied Econ","degree_department":null,"school":null,"contributors":["Schnitkey, Gary"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-01-21T19:48:27Z","date_published":"2015-01-21T19:48:27Z","updated_at":"2026-07-22T22:26:07Z","subjects":["Farm Income","Excel Projection Model","Agricultural Act of 2014","Farm Bill","Farm Safety Net","Financial Statements"],"languages":["en"],"rights":["Copyright 2014 Patrick Kelly"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/72814","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Schnitkey, Gary"]},{"key":"dc:creator","label":"Author","values":["Kelly, Patrick"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-01-21T19:48:27Z","2014-12","2015-01-21"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural & Applied Econ"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["Farm Income","Excel Projection Model","Agricultural Act of 2014","Farm Bill","Farm Safety Net","Financial Statements"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2014 Patrick Kelly"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/72814"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The Farm Income Projection Model is intended to model the effects of the new provisions in the Agricultural Act of 2014, particularly in the farm safety net area, on the financial statements of case farms located throughout Illinois. The Farm Income Projection Model is detailed, and can be made to accurately represent a specific size grain farm located in all counties in the state of Illinois. The model produces financial statements for a five year projection. These statements include budgets, balance sheets, income statements, cash flows, and capital repayment capacities. The results from the model are dependent on the several inputs including farm size, location, crops planted, base acres, expense adjustments, yields, prices, crop insurance products, and Farm Bill policies. 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