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AIMING HIGHER ANELUN UWCH

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Women are under-represented in self ... (Watson 2003; McMahon 2005) ... staff using business plan (ascribed to Jack or Emma) to explore lending criteria ... – PowerPoint PPT presentation

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Title: AIMING HIGHER ANELUN UWCH


1
AIMING HIGHER ANELUN UWCH THE 3rd PROWESS
INTERNATIONAL CONFERENCE
Prof Sara Carter University of Stirling
2
Gender, Entrepreneurship and Business Finance
The relationship between banks and entrepreneurs
in the UK
  • Professor Sara Carter,
  • Centre for Entrepreneurship,
  • University of Stirling, Scotland
  • The 3rd Prowess Annual International Conference
    8th February 2006, Cardiff

3
Womens Enterprise in the UK
  • Women are under-represented in self-employment
    and business ownership, despite policies to
    increase rates of participation
  • 1995 900,000 self-employed women
  • 7 of economically active women
  • 26 of self-employed population
  • 2005 970,000 self-employed women
  • 7 of economically active women
  • 26 of self-employed population
  • UK SME Ownership
  • 15 women-owned
  • 35 jointly owned by men and women
  • 50 men-owned
  • Treasury goal to increase women-owned businesses
    from 15 to 20

4
Womens Enterprise in USA
  • 10.6 million firms are at least 50 owned by a
    woman or women
  • 48 of all privately-held firms are at least 50
    owned by a woman
  • employ 19.1 million people
  • generate 2.5 trillion in annual sales
  • Growth between 1997-2004
  • growth in number of women-owned firms twice all
    firms (17 v 9)
  • employment expanded at twice rate of all firms
    (24 v 12)
  • number of women-owned firms with employees grew
    by 28, three times growth rate of all firms with
    employees
  • Source Centre for Womens Business Research,
    Washington DC

5
Women Owned Businesses
  • Younger and smaller
  • More likely to be sole traders and start in
    business on their own
  • Lower average sales turnover and less likely to
    be VAT registered
  • More likely to operate from home
  • Lower average employment profile
  • More likely to have additional part-time
    employment
  • Less likely to own more than one business
  • Concentration in traditionally female sectors,
    retail, business services, personal services
  • Relatively lower inflows and potentially higher
    (unexplored) outflows from self-employment

6
Constraints on Womens Enterprise
  • Finance is main constraint affecting womens
    ability to start and grow a business
  • Women start businesses with
  • lower levels of overall capitalisation
  • lower ratios of debt finance
  • 1/3 the starting capital used by men
  • personal savings and informal finance sources
  • no VC and business angel investment
  • Women pay significantly higher margins on term
    loans than male owned businesses 2.9 v 1.9
    over base (Fraser, 2005)
  • Start up capitalization has enduring effect on
    business survival and performance

7
Researching Women and Finance
  • Q. Why is there a bi-modal funding profile?
  • A1. Structural dissimilarities
  • A2. Supply side discrimination
  • A3. Demand side risk aversion
  • Research finds
  • No evidence of bank discrimination
  • (Fay and Williams 1993 Fabowale et al 1995
    Haines et al 1999 )
  • Given same starting resources, women and men
    perform equally well
  • (Watson 2003 McMahon 2005)
  • Residual concerns of unfair treatment by banks
    and perceptions of patronising attitudes, but
    banks now employ women as loan officers

8
New Research Focus
  • The lending criteria used by bank loan officers
  • The lending processes used by bank loan officers
  • The personal constructs held by bank loan
    officers of male and female entrepreneurs
  • The capitalization and performance of male- and
    female-owned businesses
  • The relationship between financial and
    non-financial capitals

9
Supply Side stages 1-3
  • Individual interviews with male and female bank
    lending staff using business plan (ascribed to
    Jack or Emma) to explore lending criteria
  • 2. Focus groups with bank lending staff to
    discuss business plan and lending criteria (3
    male FG, 3 female FG), to explore lending
    processes
  • 3. Post-focus group individual personal
    construct interviews (using Kellys Repertory
    Grid technique), to explore perceptions of
    entrepreneurs

10
Demand Side stages 4-6
  • 4. Telephone interviews with 100 business owners
    (50/50 male/female), business services sector,
    less than 3 years old, central Scotland, for
    comparative analysis of entrepreneurs
  • 5. Depth personal interviews with 30 matched
    pairs of business owners, using structured
    questionnaire (previously developed questions and
    scales), to elicit access and use of various
    capitalization
  • 6. Post interview individual personal construct
    interviews (Kellys Repertory Grid technique)

11
1. Lending Criteria
  • Similar criteria used to assess male and female
    business plans
  • Male applicants questioned more on the business
    proposition, financial history, and personal
    characteristics
  • Female applicants questioned more on whether
    sufficient research undertaken
  • Some differences in criteria by male and female
    loan officers
  • Male loan officers focused more on commitment of
    applicant (esp. when female)
  • Female loan officers focused more on marital
    status of applicant (esp. when male), meeting
    applicant to make sure they fit the plan
  • Searching for proxies that indicate
    trustworthiness and business acumen
  • Evidenced by gut instinct and feeling
  • Individualised decision making of bank loan
    officers
  • one guy could fund a project, another would
    reject it

12
2. Lending Processes
  • Female loan officers
  • The business plan, size of loan, terms of loan,
    difficulty in accessing good deals from
    introducers and brokers
  • I did actually get a deal from an accountant and
    it was absolute rubbish. He gave me the rubbish
    one that nobody would do I know he has access to
    so many good quality clients and he doesnt give
    me many of those (female)
  • All we do really is we put the whole proposal
    together and then it gets emailed off to the
    credit team. The decision lies with them
    (female)
  • Male loan officers
  • Rapport with applicant, gut instinct, developing
    relationship with credit sanctioners
  • You assume if you put something in, there will
    be someone in that team will pick it up and you
    do have a working relationship with them (male)
  • The bank is here to make money, so we need to do
    deals. So, thats why when we talk about
    negotiation its a realisation of the need to
    generate income (male)

13
3. Personal Constructs
  • Wide range of constructs held by bank officers,
    focused on character
  • 1st Round Tests
  • Statistically significant gender differences
    observed in 20 / 325 constructs
  • (10 male, 10 female)
  • 2nd Round Tests
  • Detailed multivariate analyses confirmed no
    evidence of systematic gender differences in
    constructs held by bank loan officers of business
    owners
  • No gender differences (21/35 grids)
  • Unsystematic differences on some constructs
    (13/35) (6 female, 7 male)
  • Systematic differences but not construct
    differences (1/35) (1 male)
  • Systematic and construct differences (0/35)

14
4. Capitalization and Performance of Male and
Female Entrepreneurs
  • Sex differences after controls for sector,
    business age and location
  • Capitalization Male mean 18.6k, Female mean
    6.4k. More women (21) than men (5) used external
    finance. But, 17/21 women had external investment
    under 500, 4/5 men had external investment over
    1,000
  • Industry focus men more likely to work in
    management and business consultancy, women in
    business services
  • Ownership 90 women, 66 men started as sole
    traders, men more likely to start with co-owning
    spouse and also to employ spouse in firm
  • Size men twice as likely to employ additional
    staff, more likely to report higher sales
    turnover, more likely to serve company clients
    rather than individuals

15
5. Relationship between Financial and
Non-Financial Capitals
  • Human capital
  • Educational qualifications identical
  • Age women mean 41 v men mean 51
  • Work experience women mean 11 years v mean 22
    years
  • Gross household income identical
  • Earnings prior to start-up women mean 32.3k v
    men mean 46.3k
  • Social capital
  • Women active weak-tie networkers, but dependent
    on friends and family
  • Men strong locally-embedded ties within industry
    sector
  • Symbolic capital
  • Credibility problems affect 30 women vs no men

16
Initial Conclusions
  • Clear capitalization performance differences by
    men and women entrepreneurs
  • No deliberate discrimination by banks
  • Focus on character of loan applicants is
    integral to lending process
  • But, gender differences in lending decisions are
    subtle, engrained and unconscious
  • Loan officers negotiate outcomes that suit
    their world view
  • Gender continues to be an important, but hidden
    variable in acquisition of debt finance
  • Different experiences of male and female bank
    loan officers
  • Importance of internal networking and
    negotiations (often as a male dynamic) as an
    unspecified and unseen element of the lending
    process
  • Difficulties of women in accessing deals
  • Supply-side and demand side factors interact to
    co-produce the lending decision the aspirations
    and expectations of women entrepreneurs and the
    perceptions of bank lending staff of women
    business-owners and female-type businesses
    both affect the loan decision

17
Gender, Entrepreneurship and Business Finance
The relationship between banks and entrepreneurs
in the UK
  • Professor Sara Carter,
  • Centre for Entrepreneurship,
  • University of Stirling, Scotland
  • The 3rd Prowess Annual International Conference
    8th February 2006, Cardiff
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