Women empowerment through microfinance: Twenty year historical data analysis of selected microfinance institutions in NCR and CALABARZON

The research is aimed to determine whether women empowerment can be quantified and manifested by using only secondary data from three microfinance institutions in the NCR and Region IV-A from the period of 1999 to 2018. Secondary data alone was tested since most studies that the researchers encounte...

Full description

Saved in:
Bibliographic Details
Main Authors: Bala, Bianca Erica D., Chu, Cristina Mae Y., Chu, Paolo Tristan L., Wee, Dustinmico S.
Format: text
Language:English
Published: Animo Repository 2021
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etdb_finman/8
https://animorepository.dlsu.edu.ph/context/etdb_finman/article/1012/viewcontent/Bala4.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etdb_finman-1012
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etdb_finman-10122021-06-22T05:39:37Z Women empowerment through microfinance: Twenty year historical data analysis of selected microfinance institutions in NCR and CALABARZON Bala, Bianca Erica D. Chu, Cristina Mae Y. Chu, Paolo Tristan L. Wee, Dustinmico S. The research is aimed to determine whether women empowerment can be quantified and manifested by using only secondary data from three microfinance institutions in the NCR and Region IV-A from the period of 1999 to 2018. Secondary data alone was tested since most studies that the researchers encountered approached the topic using a combination of primary and secondary data. Panel regression was used to give the viewers a rough visualization of the data that was obtained from the MIX market and STL decomposition using Loess was used in this study to be able to fill in the missing values in the data by representing it with a dot. In order to measure women empowerment by the use of secondary data, the retention rate was used to be a proxy variable for women empowerment, and panel data regression analysis using fixed effects was used to determine the significant variables. Results show that there are 3 significant variables which are Loans Outstanding Enterprise, Delinquency (1 Month), and Delinquency (More than 6 Months). Also, it shows that the 3 variables are negatively correlated with the retention rate. This paper would conclude that measuring women empowerment through microfinance is not a black and white approach since there are other factors that can possibly affect the results itself such as data insufficiency. 2021-01-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdb_finman/8 https://animorepository.dlsu.edu.ph/context/etdb_finman/article/1012/viewcontent/Bala4.pdf Financial Management Bachelor's Theses English Animo Repository Microfinance--Philippines Businesswomen--Philippines Finance and Financial Management
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Microfinance--Philippines
Businesswomen--Philippines
Finance and Financial Management
spellingShingle Microfinance--Philippines
Businesswomen--Philippines
Finance and Financial Management
Bala, Bianca Erica D.
Chu, Cristina Mae Y.
Chu, Paolo Tristan L.
Wee, Dustinmico S.
Women empowerment through microfinance: Twenty year historical data analysis of selected microfinance institutions in NCR and CALABARZON
description The research is aimed to determine whether women empowerment can be quantified and manifested by using only secondary data from three microfinance institutions in the NCR and Region IV-A from the period of 1999 to 2018. Secondary data alone was tested since most studies that the researchers encountered approached the topic using a combination of primary and secondary data. Panel regression was used to give the viewers a rough visualization of the data that was obtained from the MIX market and STL decomposition using Loess was used in this study to be able to fill in the missing values in the data by representing it with a dot. In order to measure women empowerment by the use of secondary data, the retention rate was used to be a proxy variable for women empowerment, and panel data regression analysis using fixed effects was used to determine the significant variables. Results show that there are 3 significant variables which are Loans Outstanding Enterprise, Delinquency (1 Month), and Delinquency (More than 6 Months). Also, it shows that the 3 variables are negatively correlated with the retention rate. This paper would conclude that measuring women empowerment through microfinance is not a black and white approach since there are other factors that can possibly affect the results itself such as data insufficiency.
format text
author Bala, Bianca Erica D.
Chu, Cristina Mae Y.
Chu, Paolo Tristan L.
Wee, Dustinmico S.
author_facet Bala, Bianca Erica D.
Chu, Cristina Mae Y.
Chu, Paolo Tristan L.
Wee, Dustinmico S.
author_sort Bala, Bianca Erica D.
title Women empowerment through microfinance: Twenty year historical data analysis of selected microfinance institutions in NCR and CALABARZON
title_short Women empowerment through microfinance: Twenty year historical data analysis of selected microfinance institutions in NCR and CALABARZON
title_full Women empowerment through microfinance: Twenty year historical data analysis of selected microfinance institutions in NCR and CALABARZON
title_fullStr Women empowerment through microfinance: Twenty year historical data analysis of selected microfinance institutions in NCR and CALABARZON
title_full_unstemmed Women empowerment through microfinance: Twenty year historical data analysis of selected microfinance institutions in NCR and CALABARZON
title_sort women empowerment through microfinance: twenty year historical data analysis of selected microfinance institutions in ncr and calabarzon
publisher Animo Repository
publishDate 2021
url https://animorepository.dlsu.edu.ph/etdb_finman/8
https://animorepository.dlsu.edu.ph/context/etdb_finman/article/1012/viewcontent/Bala4.pdf
_version_ 1767195987323912192