1 resultado para Tire Traction.
em SAPIENTIA - Universidade do Algarve - Portugal
Filtro por publicador
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (5)
- Aston University Research Archive (4)
- Biblioteca de Teses e Dissertações da USP (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (17)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (10)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (5)
- Bibloteca do Senado Federal do Brasil (7)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (26)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- CaltechTHESIS (5)
- Cambridge University Engineering Department Publications Database (21)
- CentAUR: Central Archive University of Reading - UK (11)
- Chapman University Digital Commons - CA - USA (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (31)
- Cochin University of Science & Technology (CUSAT), India (6)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Deakin Research Online - Australia (8)
- Digital Commons - Michigan Tech (2)
- Digital Peer Publishing (6)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (43)
- Greenwich Academic Literature Archive - UK (5)
- Harvard University (11)
- Helda - Digital Repository of University of Helsinki (1)
- Indian Institute of Science - Bangalore - Índia (25)
- Instituto Politécnico de Castelo Branco - Portugal (2)
- Instituto Politécnico do Porto, Portugal (5)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (1)
- National Center for Biotechnology Information - NCBI (3)
- Publishing Network for Geoscientific & Environmental Data (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (17)
- Queensland University of Technology - ePrints Archive (69)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (3)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (212)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Universidad Autónoma de Nuevo León, Mexico (5)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (10)
- Universidad Politécnica de Madrid (19)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (7)
- Universidade Federal do Rio Grande do Norte (UFRN) (32)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (35)
- Université Laval Mémoires et thèses électroniques (2)
- University of Connecticut - USA (4)
- University of Michigan (248)
- University of Queensland eSpace - Australia (3)
- WestminsterResearch - UK (1)
Resumo:
In this work we develop a methodology for the economic evaluation of soil tillage technologies, in a risky environment, and to capture the influence of farmer behaviour on his technology choice. The model has short-term activities, that change with the type of year, and long-term activities, in which sets of traction investment activities are included. Although these activities do not change with the type of year, they lead to different availability of resources for each type of year, since the same tractor has different available fieldwork days under different weather conditions. We prove that the model is sensitive to the greater income variability resulting from the use of alternative technologies and to the balance between income and risk, accounting for the probability of occurrence of each state of nature and giving an investment solution that considers the best production plan for each type of year. (c) 2005 Elsevier B.V. All rights reserved.