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Tag: bivariate probit model

Climate variability and post-harvest food loss abatement technologies: evidence from rural Tanzania

This paper focuses on improved storage and preservation technologies as an adaptation strategy in response to climate change. We also study the trade-off between improved cereal storage technologies and the preservation techniques among rural households in Tanzania. We find that climate variables significantly influence farmers’ choice of improved storage technologies and preserving decisions. Using a bivariate probit model, we find that modern storage technologies and preservation measures are substitutes. Farmers can significantly reduce annual costs associated with preservation by adopting (usually long lasting) modern storage facilities.

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Scimago Journal & Country Rank

 

 

 

 

  • Scopus SJR (2022): 0.27
  • Scopus CiteScore (2022): 2.0
  • WoS Journal Impact Factor (2022): 1.2
  • WoS Journal Citation Indicator (2022): 0.45
  • ISSN (electronic): 2063-0476
  • ISSN-L 1418-2106

 

Impressum

Publisher Name: Institute of Agricultural Economics Nonprofit Kft. (AKI)

Publisher Headquarters: Zsil utca 3-5, 1093-Budapest, Hungary

Name of Responsible Person for Publishing:        Dr. Pal Goda

Name of Responsible Person for Editing:             Dr. Attila Jambor

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The publication cost of the journal is supported by the Hungarian Academy of Sciences.

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