Since 2014
Link between R&D intensity and market concentration: analysis of Brazilian corn and soybean seed markets
Rivista di Economia Agraria
View Archive Info| Field | Value | |
| Title |
Link between R&D intensity and market concentration: analysis of Brazilian corn and soybean seed markets
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| Creator |
Figueiredo Silva, Felipe; Department of Agricultural Economics, University of Nebraska – Lincoln
Braga, Marcelo Jose; Departamento de Economia Rural, Universidade Federal de Viçosa - UFV Garcia, Joao Carlos; Empresa Brasileira de Pesquisa Agropecuária, EMBRAPA - Brazil |
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| Subject |
market concentration; R&D; seeds markets
L130 |
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| Description |
Innovation in the Brazilian seed markets is one of the main driver of the Brazilian agricultural expansion during the last decades. However, these markets also experienced a market reconsolidation in the form of a market concentration. In this paper, we test the hypothesis that there is an inverse relationship between innovations and market structure at the seed market. We use a Generalized Method of Moments model applied to a theoretical framework that allowed us to determine the direction of this relationship. Our results suggested that this link depends on market characteristics, such as the introduction of genetically modified organisms (GMO). For corn (soybean), we find a positive (negative) relationship between these factors that has become negative (positive) in the period post-GMO introduction.
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| Publisher |
Firenze University Press
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| Contributor |
—
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| Date |
2018-11-06
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — — |
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| Format |
application/pdf
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| Identifier |
http://www.fupress.net/index.php/rea/article/view/24078
http://www.fupress.net/index.php/rea/article/download/24078/21659 10.13128/REA-24078 |
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| Source |
Rivista di Economia Agraria; Vol 73, No 2 (2018); 105-124
Italian Review of Agricultural Economics; Vol 73, No 2 (2018); 105-124 2281-1559 0035-6190 |
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| Language |
eng
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| Relation |
10.13128/REA-24078
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| Rights |
The authors retain all rights to the original work without any restrictions.License for Published ContentsThis work is distribuited with Creative Commons Attribuzione 4.0 Internazionale. You are free to copy, distribute and transmit the work, and to adapt the work. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).Licence scheme | Legal codeLicense for MetadataActa published articles metadata are dedicated to the public domain by waiving all publisher's rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.Licence scheme | Legal code
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