133
Views
0
CrossRef citations to date
0
Altmetric
Pages 484-495 | Received 15 Sep 2019, Accepted 24 Jul 2020, Published online: 22 Dec 2020
 

ABSTRACT

This article investigates the influence of land titles on farmers’ perceptions about the ease of conducting three types of land transactions: land sales, leases, and transfers by bequest. A questionnaire survey was conducted in a Brazilian municipality. Results indicate that farmers who have land titles perceive that land sales can be conducted more easily than those who do not have titles. However, perceptions regarding land leases and transfers as bequest were unaffected by the status of titling. This indicate that land titles may be ineffective in stimulating transaction types that are not part of local culture.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 The Programa Bolsa Familia, which disburses monthly stipends to poor families according to the number of children.

Additional information

Notes on contributors

Lucas Bispo de Oliveira Alves

Lucas Bispo de Oliveira Alves is a member of the Department of Civil Engineering, University of Tokyo, Japan.

Shinnosuke Maeda

Shinnosuke Maeda is a member of the Department of Civil Engineering, University of Tokyo.

So Morikawa

So Morikawa is a member of the Department of Civil Engineering, University of Tokyo.

Hironori Kato

Hironori Kato is a member of the Department of Civil Engineering, University of Tokyo.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 274.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.