Artikel

Gender differences in willingness to pay for capital-intensive agricultural technologies: The case of fish solar tent dryers in Malawi

Gender differences in fish processors' willingness to pay for a group-owned fish solar tent dryer (FSTD) are being assessed by using the double hurdle model. Willingness to pay (WTP) responses from 382 randomly selected fish processors were elicited through a bidding game in a contingent valuation method. The findings show that the average probability that fish processors will be willing to pay was 74% (76% for females and 72% for males). Furthermore, the average level of WTP was US$29.45 (US$26.46 for females and US$33.51 for males). Females have a lower level of WTP than men because of their low endowment with assets that can assist them such as education, access to markets and productive assets. In view of these findings, the paper concludes that female fish processors have a higher probability of being willing to pay than male fish processors, but the levels of WTP are lower for female processors. The study suggests that when organising the community into cooperatives is possible, WTP for capital-intensive technologies can be assessed as contributions of individuals to the total cost of the technologies although the common property characteristic is suspected to lower the level of willingness to pay.

Sprache
Englisch

Erschienen in
Journal: Agricultural and Food Economics ; ISSN: 2193-7532 ; Volume: 6 ; Year: 2018 ; Issue: 1 ; Pages: 1-15 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Thema
Fish postharvest losses
Fish solar tent dryer
Willingness to pay
Contingent valuation
Double hurdle model
Malawi

Ereignis
Geistige Schöpfung
(wer)
Chiwaula, Levison S.
Chirwa, Gowokani Chijere
Binauli, Lucy S.
Banda, James
Nagoli, Joseph
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2018

DOI
doi:10.1186/s40100-018-0096-2
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

  • Artikel

Beteiligte

  • Chiwaula, Levison S.
  • Chirwa, Gowokani Chijere
  • Binauli, Lucy S.
  • Banda, James
  • Nagoli, Joseph
  • Springer

Entstanden

  • 2018

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