Arbeitspapier

Determinants of specialty rice adoption by smallholder farmers in the Red River Delta of Vietnam

This study addresses factors influencing the adoption of specialty rice variety among smallholder farmers in Vietnam. We used a sample of 336 farmers from the Red River Delta who were interviewed between October and December 2014. We follow the adoption behavior model based on the utility maximization criterion and adopt a two-step approach, starting with a Probit model for determinants of specialty rice adoption before analyzing the intensity of adoption using a Tobit model. Overall, 50% of the probability of specialty rice adoption is explained by the selected independent variables such as: cultivated land, experience in growing rice, and network size. Tobit model estimates show that group membership (such as in agricultural cooperatives, farmer's union, etc.) and possession of a two-wheel-tractor increase the share of land allocation to specialty rice production by 3.4% and 7.8% respectively. Based on the findings manifold social and political implications will be derived.

Sprache
Englisch

Erschienen in
Series: GlobalFood Discussion Papers ; No. 105

Klassifikation
Wirtschaft
Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
Agricultural R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
Urban, Rural, Regional, Real Estate, and Transportation Economics: Household Analysis: General
Thema
Specialty Rice
Adoption
Smallholder Farmers
Network Size
Red River Delta

Ereignis
Geistige Schöpfung
(wer)
Thai Thuy Pham
Dao The Anh
Theuvsen, Ludwig
Ereignis
Veröffentlichung
(wer)
Georg-August-Universität Göttingen, Research Training Group (RTG) 1666 - GlobalFood
(wo)
Göttingen
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Thai Thuy Pham
  • Dao The Anh
  • Theuvsen, Ludwig
  • Georg-August-Universität Göttingen, Research Training Group (RTG) 1666 - GlobalFood

Entstanden

  • 2017

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