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The Impact of Microfinance on
Factors Empowering Women:
Regional and Delivery Mechanisms
in India’s SHG Programme
Ranjula Bali Swain, Department of Economics,
Uppsala University & Södertörn University, Stockholm
(with Fan Yang-Wallentin, Department of Statistics, Uppsala
University)
IFPRI Seminar, Washington D.C,
20 July 2015
1
• Objective
• Literature and past research
• Self Help Groups Bank Linkage program
(SBLP)
• Econometric Estimation
• Results
1. Outline
2
Investigate how the regionally imbalanced
microfinance development and type of delivery
mechanisms (linkage models) have resulted in
significant differences in the process of women
empowerment in India?
•Location (south states, other states)
•Type of group linkage
Group maturity (comparing old and new with control)
Different education categories (uneducated, primary, secondary or
higher education)
2. Research Objective
3
• Household Bargaining literature (Browning &
Chiappori 1998; Karlan & Yin 2006; Armadariz &
Morduch 2005; Duflo 2003)
• Autonomy & Decision making (Anderson &
Eswaran 2005; Goetz & Gupta 1996)
• Political & Social Inclusion (Armedariz &
Morduch 2010; Dijkstra 2002; Beteta 2006)
• Large body of empirical literature
3. Literature
4
• Does Microfinance (SHG) Empower Women?
(Bali Swain and Wallentin, 2009) – Yes, significant
empowerment (25% more) of SHG treated group
as compared to control group
• Within Microfinance (SHG) which factors are
more empowering? (Bali Swain and Wallentin,
2012) – Economic factor is the most empowering.
Greater autonomy and social attitudes have a
significant impact on women empowerment
Related Earlier Work
5
Economics of Development Lecture 3 6
Self Help Group Bank Linkage
Programme 6
By 31 March 2010
about 7 million savings-linked Self Help
Groups (SHG)
more than 4.9 million credit linked SHGs
covering 97 million poor households under
microfinance program.
4. SHG Bank Linkage Program
7
Empowerment of women is interpreted as a
process in which women challenge the existing
norms and culture, to effectively improve their well
being (Bali Swain 2007, Bali Swain and Wallentin
2009, Bali Swain and Wallentin 2012).
Efficiency improving activities (existing gender
norms) ; community development activities – not
necessarily empowering the women
Women empowerment – multi-locational (Johnson,
Kabeer )
Women Empowerment
8
• Structural Equation Model
Measurement model: measures latent factors that have an
impact on women empowerment using observable indicators
Structural model: use factor loadings of the latent factors to
measure the impact on the latent women empowerment
variables
Estimation: Robust maximum likelihood (RML) method
Statistical package: LISEL
See Path Diagram
5. Estimation Strategy
9
Structural Equation Model
10
SIAS Data:
5 states
659 households
5. Results
12
Differential impact in States
13
Covariance matrix of independent variables
and women empowerment
for the SHG members
14
 Southern States women empowerment of
women through economic factors
 Other States – significant correlation between
women empowerment and autonomy in
women’s decision-making & network;
communication & political participation
respectively
 No differential causal impact of different
delivery (linkage) methods on empowerment
Impact is Differential!
15
Thank you for your attention!
Ranjula.Bali@nek.uu.se
16

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[Gender Methods Seminar] The Impact of Microfinance on Factors Empowering Women: Regional and Delivery Mechanisms in India's SHG Programme

  • 1. The Impact of Microfinance on Factors Empowering Women: Regional and Delivery Mechanisms in India’s SHG Programme Ranjula Bali Swain, Department of Economics, Uppsala University & Södertörn University, Stockholm (with Fan Yang-Wallentin, Department of Statistics, Uppsala University) IFPRI Seminar, Washington D.C, 20 July 2015 1
  • 2. • Objective • Literature and past research • Self Help Groups Bank Linkage program (SBLP) • Econometric Estimation • Results 1. Outline 2
  • 3. Investigate how the regionally imbalanced microfinance development and type of delivery mechanisms (linkage models) have resulted in significant differences in the process of women empowerment in India? •Location (south states, other states) •Type of group linkage Group maturity (comparing old and new with control) Different education categories (uneducated, primary, secondary or higher education) 2. Research Objective 3
  • 4. • Household Bargaining literature (Browning & Chiappori 1998; Karlan & Yin 2006; Armadariz & Morduch 2005; Duflo 2003) • Autonomy & Decision making (Anderson & Eswaran 2005; Goetz & Gupta 1996) • Political & Social Inclusion (Armedariz & Morduch 2010; Dijkstra 2002; Beteta 2006) • Large body of empirical literature 3. Literature 4
  • 5. • Does Microfinance (SHG) Empower Women? (Bali Swain and Wallentin, 2009) – Yes, significant empowerment (25% more) of SHG treated group as compared to control group • Within Microfinance (SHG) which factors are more empowering? (Bali Swain and Wallentin, 2012) – Economic factor is the most empowering. Greater autonomy and social attitudes have a significant impact on women empowerment Related Earlier Work 5
  • 6. Economics of Development Lecture 3 6 Self Help Group Bank Linkage Programme 6
  • 7. By 31 March 2010 about 7 million savings-linked Self Help Groups (SHG) more than 4.9 million credit linked SHGs covering 97 million poor households under microfinance program. 4. SHG Bank Linkage Program 7
  • 8. Empowerment of women is interpreted as a process in which women challenge the existing norms and culture, to effectively improve their well being (Bali Swain 2007, Bali Swain and Wallentin 2009, Bali Swain and Wallentin 2012). Efficiency improving activities (existing gender norms) ; community development activities – not necessarily empowering the women Women empowerment – multi-locational (Johnson, Kabeer ) Women Empowerment 8
  • 9. • Structural Equation Model Measurement model: measures latent factors that have an impact on women empowerment using observable indicators Structural model: use factor loadings of the latent factors to measure the impact on the latent women empowerment variables Estimation: Robust maximum likelihood (RML) method Statistical package: LISEL See Path Diagram 5. Estimation Strategy 9
  • 14. Covariance matrix of independent variables and women empowerment for the SHG members 14
  • 15.  Southern States women empowerment of women through economic factors  Other States – significant correlation between women empowerment and autonomy in women’s decision-making & network; communication & political participation respectively  No differential causal impact of different delivery (linkage) methods on empowerment Impact is Differential! 15
  • 16. Thank you for your attention! Ranjula.Bali@nek.uu.se 16