Artikel

Empowering women through microcredit in bangladesh: An empirical study

The present study was carried out to identify the determinants of microcredit accessibility by rural women households and its impact on rural women empowerment in Bangladesh. A face-to-face survey was conducted during 2018, interviewing 300 women households in two locations in Bangladesh. Descriptive statistics and econometric modeling were used to achieve the objectives. The results of the study showed that the higher annual income inversely related with the accessibility to the microcredit program, whereas family size (P < 0.05) was positive and significantly influenced the accessibility to the microcredit program. The empirical results indicate that borrowers of microcredit have greater control over their own savings. The regression outcome also exposes that microcredit has a positive and significant impact on enhancing participation in household decision making process and women's legal awareness. The study suggested that microcredit providers in Bangladesh should be encouraged to review their program planning and redesign loan products by putting more emphasis on higher income group women.

Sprache
Englisch

Erschienen in
Journal: International Journal of Financial Studies ; ISSN: 2227-7072 ; Volume: 7 ; Year: 2019 ; Issue: 3 ; Pages: 1-11 ; Basel: MDPI

Klassifikation
Wirtschaft
Thema
microcredit
accessibility
women’
s empowerment
logit regression
Bangladesh

Ereignis
Geistige Schöpfung
(wer)
Debnath, Dalia
Rahman, Md. Sadique
Acharjee, Debasish Chandra
Latif, Waqas Umar
Wang, Linping
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2019

DOI
doi:10.3390/ijfs7030037
Handle
Letzte Aktualisierung
10.03.2025, 11:43 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

  • Debnath, Dalia
  • Rahman, Md. Sadique
  • Acharjee, Debasish Chandra
  • Latif, Waqas Umar
  • Wang, Linping
  • MDPI

Entstanden

  • 2019

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