Brazilian Soybean Production
Emergy Analysis With an Expanded Scope
Bibliographic Data
| ID | 20359443 |
|---|---|
| Authors | Enrique Ortega (0000-0002-9067-4337), Otávio Cavalett (0000-0003-4805-2881), Robert Bonifácio (0000-0003-3071-2378), Marcos Djun Barbosa Watanabe (0000-0001-9818-7405, Universidade Estadual de Campinas (UNICAMP)), Marcos Watanabe (State University of Campinas, Brazil) |
| Year | 2005 |
| Volume | 25 |
| Issue | 4 |
| Pages | 323-334 |
| Publication date | 2005-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Bulletin of Science Technology & Society (JOURNAL) |
| Journal identifiers | ISSN: 0270-4676 • E-ISSN: 1552-4183 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0270467605278367 |
| OpenAlex | W2160711446 |
| Language | EN |
| Citations received | 2 |
| References cited | 9 |
This article offers the results of emergy analysis used to evaluate four different soybean production systems in Brazil that were divided into two main categories: biological models (organic and ecological farms) and industrial models (green-revolution chemical farms and herbicide with no-tillage farms). The biological models show better environmental, economical, and social performance indicators; however, at the national level, discussion of transgenic soybean seed release considers only industrial models without any mention of biological models. Classic emergy analysis shows biological options are the better alternatives but does not explain why decisions taken by farmers and government in Brazil were in opposition to these options. New research is proposed to identify and quantify the external forces that strongly interfere in the definition of public policy for soybean production. New parameters are proposed to enrich emergy methodology: Renewability of each input was considered in emergy calculations and negative externalities were included as additional services
Agricultural science · Biology · Business · Economics · Emergy · Externality · Microeconomics · Sustainability · Tillage · Computer Science · Environmental Science · Sustainability and Ecological Systems Analysis · Sustainable Agricultural Systems Analysis · Sustainable Development and Environmental Policy · Ecology
| Citations per year | 0.1 |
|---|---|
| Citation span | 2006 - 2022 (17) |
| Highly cited | No |