finance, gender, and the ethics of care: ideas for human finance
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Finance, Gender, and the Ethics of Care: ideas for human finance. Irene van Staveren, Institute of Social Studies, member of SAC FESSUD, Presentation at Annual FESSUD meeting, 17-20 October 2013. - PowerPoint PPT PresentationTRANSCRIPT
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Finance, Gender, and the Ethics of Care:
ideas for human finance
Irene van Staveren, Institute of Social Studies, member of SAC FESSUD,
Presentation at Annual FESSUD meeting, 17-20 October 2013.
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Outline:
I. Gender Trends in Developing Countries
during Financial Crises
II. The Lehman Sisters Hypothesis
III. Caring Finance: Ethics for Financial Reform
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I. Gender Trends in Developing Countries
during Financial Crises
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Methodology: comparative analysis, period 1996-2005
• Crisis countries: 1997: Indonesia, Korea, Malaysia, Philippines and Thailand 1999: Brazil 2001: Argentina 2002: Turkey
• Non-crisis countries: India, Japan, Mongolia, Pakistan, Vietnam, Chile,
Mexico, Egypt
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Change in Maternal Mortality Rate, 1996-2005
-180
-160
-140
-120
-100
-80
-60
-40
-20
0
20
Argentina Brazil Indonesia Korea, Rep.of
Malaysia Philippines Thailand Turkey Average
Crisis countries
Average
Change in Maternal Mortality Rate, 1996-2005
-200
-150
-100
-50
0
50
Chile Egypt India Japan Mexico Mongolia Pakistan Vietnam Average
Non-crisis countries
Average
Average decline: 33 per 100,000 live births
Average decline: 57 per 100,000 live births
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Change in Female/Male Ratio Primary School Enrolment, 1996-2005
-6.00
-5.00
-4.00
-3.00
-2.00
-1.00
0.00
1.00
2.00
3.00
4.00
Argentina Brazil Indonesia Korea,Rep. of
Malaysia Philippines Thailand Turkey Average Crisis countries
Average
Change in Female/Male Ratio Primary School Enrolment, 1996-2005
-5.00
0.00
5.00
10.00
15.00
20.00
25.00
Chile Egypt India Japan Mexico Mongolia Pakistan Vietnam Average
Non-crisis countries
Average
Average decrease: 0.4%
Average increase: 9.7%
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Change in Female/Male Ratio Secondary School Enrolment, 1996-2005
-4.00
-2.00
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
Argentina Brazil Indonesia Korea, Rep. of Malaysia Philippines Thailand Turkey Average
Crisis countries
Average
Change in Female/Male Secondary School Enrolment, 1996-2005
-30.00
-25.00
-20.00
-15.00
-10.00
-5.00
0.00
5.00
10.00
15.00
20.00
25.00
Chile Egypt India J apan Mexico Mongolia Pakistan Vietnam AverageNon-crisis countries
Average
Average increase: 4.4%
Average increase: 10.1%
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Change in Female/Male Completion rate Primary School, 1996-2005
-7.00
-6.00
-5.00
-4.00
-3.00
-2.00
-1.00
0.00
1.00
2.00
Argentina Brazil Indonesia Korea, Rep. of Malaysia Philippines Thailand Turkey Average
Crisis countries
Average
Change in Female/Male Completion rate Primary School, 1996-2005
-6.00
-4.00
-2.00
0.00
2.00
4.00
6.00
8.00
10.00
12.00
Chile Egypt India J apan Mexico Mongolia Pakistan Vietnam Average
Non-crisis countries
Average
Average decrease: 0.95%
Average increase: 3.76%
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Change in the Gender-related Development Index, 1996-2005
-0.04
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
0.12
Argentina Brazil Indonesia Korea, Rep. of Malaysia Philippines Thailand Turkey Average
Crisis countries
Average
Change ni the Gender-related Development Index, 1996-2005
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
Chile Egypt India J apan Mexico Mongolia Pakistan Vietnam Average
Non-crisis countries
Average
Average increase: 5%
Average increase: 11%
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Conclusion part I: gender & crises
• Widening gap for women’s health indicator (maternal mortality rate) for crisis countries
• Widening gap for girls’ relative school enrolment and completion rate for crisis countries
=> financial crises can have disproportionate negative effects on several gender indicators: widening gaps
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II. The Lehman Sisters Hypothesis
“If women had run the financial sector, we would not have found ourselves in this
crisis”
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Survey among Dutch financial professionals
• N = 111
• 67% women, 33% men
• December 2010-January 2011
• LinkedIn snowball method through a group of women financial professionals
• Not representative but exploratory
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21-30
years
31-40
years
41-50
years
51-60
years
61-+
years
Total
Female 6.8 47.3 37.8 8.1 0 100
Male 2.7 43.2 27.0 24.3 2.7 100
Total 5.4 45.9 34.2 13.5 0.9 100
Age differences between men and women (%)
Pearson Chi Square test is statistically significant at the 10% level.
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Highschool Specialised
training
BA MA PhD Total
Female 2.7 9.5 13.5 63.5 10.8 100
Male 5.4 13.5 16.2 48.6 16.2 100
Total 3.6 10.8 14.4 58.6 12.6 100
Educational differences between men and women (%)
Pearson Chi Square test is not statistically significant
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< 5,000 5,000 –
10,000
10,000 –
15,000
15,000 –
20,000
20,000 > Total
Female 24.3 59.5 12.2 0.0 4.1 100
Male 21.6 37.8 21.6 5.4 13.5 100
Total 23.4 52.3 15.3 1.8 7.2 100
Income differences between men and women in euro per month (%)
Pearson Chi Square test is statistically significant at the 5% level
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No
bonus
< 10,000 10,000 –
100,000
100,000 –
500,000
Total
Female 32.4 36.5 29.7 1.4 100
Male 27.0 29.7 37.8 5.4 100
Total 30.6 34.2 32.4 2.7 100
Differences in bonus between men and women in euro in 2007 (%)
Pearson Chi Square test is not statistically significant
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No
bonus
< 10,000 10,000 –
100,000
100,000 –
500,000
Total
Female 48.6 31.1 18.9 1.4 100
Male 35.1 21.6 40.5 2.7 100
Total 44.1 27.9 26.1 1.8 100
Differences in bonus between men and women in euro in 2009 (%)
Pearson Chi Square test is statistically significant at the 10% level
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Yes No Total
Female 62.2 37.8 100
Male 70.3 29.7 100
Total 64.9 35.1 100
Self-perceived risk adjustment in volatile markets (%)
Pearson Chi Square test is not statistically significant.
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0
10
20
30
40
50
60
70
80
Very low Low Neutral High Very high
Female 2007
Male 2007
Female 2009
Male 2009
Risk taking before and after the crisis (%)
Pearson Chi Square test is not statistically significant for 2007 but is statistically significant at the 10% level for 2009.
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female male
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female male
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Yes No Total
Female 97.3 2.7 100
Male 81.1 18.9 100
Total 91.9 8.1 100
Should more women be hired at the financial top when they have the same level of education and experience as men? (%)
Pearson Chi Square test is statistically significant at the 1% level
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Yes No Total
Female 86.5 13.5 100
Male 51.4 48.6 100
Total 74.8 25.2 100
Would more female leadership prevent a next crisis? (%)
Pearson Chi Square test is statistically significant at the 1% level
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Conclusion part II: a gender paradox
Even though women’s financial attitudes seem more effective to prevent, or reduce the extent of a crisis, men do not as strongly as women support a higher share of equally qualified women at the top of the financial sector
• Why? Protection of male power? (status quo of gender
disbalance) Strong male believe in a linear positive relationship
between risk and ROI? (rational economic man) Strong male and female belief that women are less good
at calculus and that men are better leaders? (gender stereotyping skills)
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III. Caring Finance: ethics for financial reform
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“thick concepts” on the crisis:
• “hiding risky situations”• “excessive liberalization”• “extremely high bonuses”• “irresponsible loans”• “failing control”, “regulatory capture”• “perverse incentives”, “moral hazard”• “too rosy assessments”• “excessive liquidity related to
consumerism”
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Conventional ethics & finance:
• Utilitarianism: concerned with autonomy and maximizing self-interest contributed to causing the crisis undermined the rules that were put in pace after
the previous crisis
• Deontology: concerned with the right cause of action for everyone was inadequate to prevent the crisis is insufficient to deal with the crisis and reform
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Ethics of care
• Concerned with maintaining relationships and caring for each other’s needs
• Based on women’s moral experiences as care givers, but recognized as a wider human experience => theorized in feminist ethics
• The central value of care is responsibility: contextual (unlike a rule or right) relational (unlike autonomy or personal freedom to
pursue one’s self-interest)
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Ethics of care & the crisis
• Responsibility in financial relationships: long-term perspective for sustaining these
relationships recognition of the importance of context rather
than universal rules
• Reducing risk from the recognition that: finance is vulnerable to a high degree of
uncertainty people may be affected by risk in many ways
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Keynes (formulated by Skidelsky, 2009) on a crisis:
“The cures are not meant to be definitive; they are subject to all sorts of special assumptions and are necessarily related to the particular conditions of the time.”
=> not deontology but ethics of care …
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Two case studies of caring finance in the Netherlands
• Open interview with two bankers at a treasury and documentary research
• Participant observation, interview on a farm, and price data collection & basic calculation
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Contingent, cooperative capital
• Rabobank: large cooperative bank, AAA
• Senior Contingent Note (SCN) issued in 2010: value of the bond does not appear on the balance
sheet unless the bank’s equity capital ratio falls below 7%
in that case the bank’s core capital will be strengthened because the bank receives 75% of the value of the outstanding SCNs (“bail-in”)
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High demand
• 10 year fixed rate Senior Contingent Note
• annual coupon of 6.875%
• twice oversubscribed (London, NY, Frankfurt)
• generated 1.25 billion euro
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Caring dimensions:
• Responsibility towards tax payers: no need for bail-out
• Responsibility towards financial sector stability: incentive to keep risk levels low and capital-equity ratio high
• Less risk for moral hazard because there are no shareholders demanding high quarterly profits
• BUT: not demanded by members but developed by financial whizz-kids
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Crowd funding for a green future
• Organic milk farm (diary, meat, cheese)
• ‘Boer-zoekt-buur’ crowdfunding by 30 consumers, 250 euro each, in exchange for 6 vouchers of 50 euro to be spent annually
• Products: meat, diary, nuts, ice cream, night in the haystack with farmers breakfast
• 50% financed through crowdfunding
• => ROI = 3% annually
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Additional benefits for farmers:• No pay back in money: saves money for other
expenditures
• Pay back in products ensures the farmers fixed minimum demand Increased volume sold
=> helping to attain economies of scale.
• Personal relationships -> ambassadors
• Personal commitment -> pool of voluntary labour & management advise
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Additional benefits for ‘neighbours’
• Known origin of organic food
• Opportunities to get involved (adoption iof a cow, voluntary farm labour’ dancing cow event)
• Price advantage of products: 30%
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Social returns
• Green energy production
• Network supporting transition to a green economy
• Low risk due to Transparency Relationship building Reduced volatility in ROI and farm sales
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Weaknesses
• Administrative burden for farmers: transaction costs (but cheaper than bank fees …)
• Low transactability of debt & returns: localness
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Conclusion part III: caring finance
• Caring finance helps to reduce financial risk
• Caring finance is complementary to regular finance and can reap “normal” ROI
• Caring finance has already started ….
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Sources:
• ‘Caring Finance Practices’, Journal of Economic Issues 47 (2), 2013, pp. 419-425.
• with Ricardo Crespo, ‘Would We have had this Crisis if Women had been Running the Financial Sector ?’, Journal of Sustainable Finance and Investment 1 (3-4), 2012, pp. 241-250.
• ‘The Lehman Sisters Hypothesis: an Exploration of Literature and Bankers’, ISS Working Paper no. 545, June 2012. The Hague: Institute of Social Studies.
• ‘Gender Trends in Developing Countries During Financial Crises’, ISS Working Paper no. 511, The Hague: Institute of Social Studies of Erasmus University Rotterdam, 2010, 20 pp.
• ‘Post-Keynesianism meets Feminist Economics’, Cambridge Journal of Economics 34 (6), 2010, pp. 1123-1144.
• ‘Caring for Economics’ in Ananta Giri (ed.), Creative Social Research: Rethinking Theories and Methods. Lanham: Lexington (imprint of Rowman and Littlefield), 2004, pp. 83-111.