The Global Entrepreneurship Monitor John Orford Eric Wood, Mike - - PowerPoint PPT Presentation

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The Global Entrepreneurship Monitor John Orford Eric Wood, Mike - - PowerPoint PPT Presentation

The Global Entrepreneurship Monitor John Orford Eric Wood, Mike Herrington Carina Fischer March 2004 What is GEM Global survey of entrepreneurship Coordinated by LBS and Babson Launched in 1999 with ten countries Now


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The Global Entrepreneurship Monitor

John Orford Eric Wood, Mike Herrington Carina Fischer March 2004

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What is GEM

  • Global survey of entrepreneurship
  • Coordinated by LBS and Babson
  • Launched in 1999 with ten countries
  • Now includes over 40 countries
  • South Africa joined the study in 2001
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Consortium of national teams

South Africa Spain Sweden Switzerland Thailand Uganda United Kingdom United States Venezuela Korea Mexico Netherlands New Zealand Norway Poland Portugal Russia Singapore Slovenia Finland France Greece Germany Hong Kong Hungary Iceland India Italy Israel Japan Argentina Australia Belgium Brazil Canada Chile China Chinese Taipei Croatia Denmark

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GEM and South Africa

  • South Africa joined the study in 2001
  • Participated in the last three surveys
  • Benchmark study of entrepreneurship in SA
  • Increasingly informs public policy
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South African GEM Research

  • UCT Centre for Innovation and Entrepreneurship

(CIE) is the national team in SA

  • Market research company does survey
  • GEM Global Team compiles international database
  • GEM SA funded by corporations (Liberty, Standard

Bank, and SAB) and government (Khula, DTI)

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Why study entrepreneurship?

  • Entrepreneurship is a key source of

economic change and growth

  • It plays an important role in creating jobs

and income

  • It is a source of new technology, products

and services

  • In Southern Africa could play a role in

empowerment

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Major aims of GEM study

  • Does the level of entrepreneurial activity

vary between countries?

  • Does the level of entrepreneurial activity

affect a country’s rate of economic growth?

  • What factors are associated with higher

rates of entrepreneurial activity?

  • How can national policy enhance

entrepreneurship

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GEM Research Methodology

  • Adult population surveys
  • Random sample of adults, 2,000 or more
  • Identify grass roots entrepreneurial activity
  • National expert interviews
  • Completed by national teams
  • 18-70 per country
  • National expert questionnaires
  • Follows personal interview
  • Standardized national data
  • IMF, World Bank, UN, OECD, etc
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Sources of entrepreneurship

  • New business venture formation

– Start-up phase before operational – New businesses less than 3.5 years – Some innovative and growth oriented most not

  • Investment by established businesses to

achieve innovation and growth

  • A country’s national institutions can support

innovation and growth

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New business formation

  • GEM’s major focus has until now been new

business formation

  • From the adult population surveys we

– Count those involved in start-ups

  • Active, will own, not paid wages for more than three months

– Count those involved in operating new firms

  • Active, do own, paid wages and salaries for 3-43 months
  • Add starts-ups and new businesses together to get

Total Entrepreneurial Activity (TEA) index

– If respondent active in start-up and new firm count once

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TEA Average 2002-3

(persons per 100 adults)

5 10 15 20 25 30 35 Fra Cro Bel Nth Slo Ita SA Spa UK Hun Isr Nor Ire US Chi Bra Kor Arg Tha Uga

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South Africa’s ranking by TEA

22nd 19th 14th SA rank 4.3 x 2.2 x 1.4 x Developing as multiple of SA 4.3 6.5 9.4 TEA South Africa (%) 31 37 29 Countries participating (no.) 1.8 1.6 4.6 TEA Lowest (%) 29.3 18.9 18.7 TEA Highest (%) 18.4 14.2 12.8 Average TEA Developing (%) 8.8 8.0 9.7 Average TEA All GEM (%) 2003 2002 2001

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Firm entrepreneurial activity

  • Measures the prevalence of entrepreneurship

within established firms

  • Entrepreneurial firms are established firms that

expect to:

– Make an innovative change in the market – Add new jobs in the future

  • Compute firm entrepreneurial activity (FEA) index

as a composite of:

– Proportion of established firms that are entrepreneurial – Proportion of total jobs provided by entrepreneurial firms

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FEA index 2002-3

(Firm entrepreneurial activity index)

1 2 3 4 5 France SA Thailand Greece Israel Japan Germany Hungary Ireland Sweden Italy Iceland Finland Canada US HK Venezuela NZ Korea

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TEA & FEA considered jointly

Argentina, Thailand Germany, Greece, Israel, Norway, South Africa, Switzerland Taiwan, Croatia, France, Japan, Netherlands, Poland, Russia

Low FEA

Brazil, India Australia, Canada, Denmark, Iceland, Ireland, Hungary, Singapore, Spain, UK, US Belgium, Finland, Italy, Sweden

Medium FEA

Chile, Korea, NZ, Uganda, Venezuela China, Mexico Hong Kong, Slovenia

High FEA High TEA Medium TEA Low TEA

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Five ordinal groupings

Taiwan, Croatia, France, Netherlands, Japan, Poland, Russia 7 Low Belgium, Finland, Germany, Greece, Israel, Italy, Norway, South Africa, Sweden, Switzerland 10 Below Average Argentina, Australia, Canada, Denmark, Hong Kong, Hungary, Iceland, Ireland, Slovenia, Spain, Singapore, Thailand, UK, US 14 Average Brazil, China, India, Mexico 4 Above Average Chile, South Korea, NZ, Uganda, Venezuela 5 Highest

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Economic impact of new business formation

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Jobs provided by new firms

(Log scale, Annual jobs provided in 2003, ‘000)

9 40 42 48 61 78 80 93 93 103 113 131 159 162 163 189 219 311 319 417 508 583 619 623 627 745 806 836 1,050 1,188 1,213 1,440 1,645 2,539 2,640 2,876 3,393 4,367 10,497 16,989 83,921 1 10 100 1000 10000 100000

Iceland Croatia Singapore HK Norway Ireland Portugal Switzerland Greece SA Chinese Taipei Spain Poland Argentina Japan Uganda Germany Mexico Russia US China

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Percentage of jobs provided by new firms

2 4 6 8 10 12 14 16 France Finland Sweden Singapore Denmark Italy Netherlands UK Germany Poland Canada Russia Greece Iceland Ireland NZ Argentina US China Venezuela Percent of national employment

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TEA and national economic growth

TEA 2000-2004 and GDP growth lagged one year

r = 0.45 5 10 15 20 25 30 35

  • 4
  • 2

2 4 6 8 10 % Growth in GDP, local currency, constant prices TEA necessity (per hundred adults)

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Country Groups and Projected Growth

Percent Growth GDP 2003-2004 [IMF Forecast] Countries Ordinal Group Taiwan, Croatia, France, Netherlands, Japan, Poland, Russia Belgium, Finland, Germany, Greece, Israel, Italy, Norway, South Africa, Sweden, Switzerland Argentina, Australia, Canada, Denmark, Hong Kong, Hungary, Iceland, Ireland, Slovenia, Spain, Singapore, Thailand, UK, US Brazil, China, India, Mexico Chile, Korea, NZ, Uganda, Venezuela 3.2 % Low 2.2 % Below Average 3.4 % Average 4.9 % Above Average 5.2 % Highest

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Entrepreneurship and economic growth

  • Entrepreneurial activity related to subsequent

national economic growth

– Moderate, positive, statistically significant association

  • Necessity entrepreneurship TEA association higher

than opportunity entrepreneurship TEA

– Poor countries more necessity entrepreneurship – Poor countries grow faster than rich countries

  • High TEA without subsequent growth is rare
  • Causal mechanism remains obscure
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Selected aspects of entrepreneurial activity

  • Stage of development
  • Motivation
  • Gender
  • Age
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Start-ups and new firms

(Per hundred adults)

5 10 15 20 25 30 35 France Croatia Japan HK Italy Holland Belgium Slovenia Sweden SA Singapore Germany Denmark UK Greece Spain Finland Norway Switzerland Canada Ireland China Iceland Australia US Brazil NZ Chile Argentina Venezuela Uganda Start-up New firm

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Start-up and new firm rates

(Per hundred adults)

11.1 5.2 2.7 8.5 4.1 2.0 2 4 6 8 10 12 Developing GEM SA Start-ups New firms

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Necessity and opportunity

(Per hundred adults)

5 10 15 20 25 30 35

France Croatia Japan Italy Hong Kong Netherlands Belgium Slovenia Sweden South Africa Singapore Germany Denmark United Kingdom Finland Spain Greece Switzerland Norway Canada Ireland Iceland United States Australia China Brazil New Zealand Chile Argentina Venezuela Uganda

Opportunity Necessity

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Relative importance of necessity

(Percent of necessity and opportunity)

59 73 66 41 27 34 0% 25% 50% 75% 100% Developing GEM SA Opportunity Necessity

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Township entrepreneurs in SA

Informal 88%

  • 58% earn less than R2,000
  • 35% have matric or higher
  • Average of 0.8 employees
  • Ave loan needed: R1,000
  • 18% have own vehicle
  • 8% have fixed premises
  • 34% have land line
  • 42% cell phone

Formal 12%

  • 25% earn less than R2,000
  • 73% have matric or higher
  • Average of 7.2 employees
  • Ave loan needed: R10,000
  • 67% have own vehicle
  • 45% have fixed premise
  • 67% have landline
  • 83% have cell phone
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Entrepreneurial activity by gender

TEA by gender, 2003 survey

10 20 30 40 50 60 70

France Croatia Japan Italy HK Netherlands Belgium Slovenia Sweden SA Singapore Germany Denmark UK Spain Greece Finland Switzerland] Norway Canada Ireland Iceland China Australia US Brazil NZ Chile Argentina Venezuela Uganda

TEA female TEA male

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Entrepreneurial activity by age

Average TEA 2001-3, countries in 2003 survey

5 10 15 20 25 30 35

HK Croatia Belgium Slovenia Japan Netherlands Sweden France Singapore Finland Germany Spain UK SA Greece Denmark Switzerland Italy Norway Ireland Canada Iceland] China US Australia Argentina Brazil NZ Chile Venezuela Uganda

18-24 25-44 45-64

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Why does SA perform so poorly and what can be done

  • Education and training
  • Financial support
  • Policy lessons
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South Africa has low scores on all GEM measures

1.1 2.0 1.9 FEA (index score) 2.4 7.5 5.3 New firm jobs (% total jobs) 2.0 8.5 4.1 New firms (# per 100) 2.7 11.1 5.2 Start-ups (# per 100) 4.3 18.4 8.8 TEA (# per 100) South Africa Developing country average GEM average

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TEA for younger men

(Per hundred males aged 18-45)

5 10 15 20 25 30 SA Arg Bra Ind Mex

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TEA by perception of own skills

(Per hundred males aged 18-44, 2001)

7 26 5 10 15 20 25 30 Do not believe they have the skill to start a business Believe they have the skill to start a business

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Perception of own skills for start-up

(% males, 18-44, who believe they have start-up skills, 2001)

35 58 64 66 67 10 20 30 40 50 60 70 80 SA Ind Bra Mex Arg

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Education and training

  • Believing you have the skills for a start-up is the most

powerful predictor of opportunity entrepreneurial activity

  • Evidence that this is linked to problems in the schooling

system

  • South African experts have identify education as the main

environmental weakness inhibiting entrepreneurship in SA

  • Evidence that teaching entrepreneurship enhances learners

perceptions of their skills to start a business

  • Need for change in the schooling system so that it develops

skills and attitudes necessary for entrepreneurial success

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Financial support

  • Lack of financial support is often

raised as a major obstacle for entrepreneurship

  • Our research suggests two counter-

arguments

– Not a problem peculiar to SA – Evidence that SMMEs in SA do get bank loans if practice sound financial management

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Expected sources of start-up finance

(Proportion of start-up entrepreneurs)

10 20 30 40 50 60 70 Own savings Friends and family Financial institutions South Africa GEM average Developing countries

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Financial management in SMMEs

  • Significant proportion

SMMEs distressed

  • Probability of distress

influenced by financial management

– Cash book – Record of accounts receivable – Keeping a record of inventory – Active debtor management

Percent businesses distressed by implementation of the four financial management practices

20 40 60 80 100 None Some All

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Access to finance by SMMEs

  • Banks can

distinguish firms with sound financial management

  • Banks willing to

lend to these firms

Percent of firms succesful with loan application

20 40 60 80 Debtor management No debtor management

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Access to financial support

  • High probability of financial distress in

SMMEs due to lack of financial management capacity

  • Access to finance linked to financial

management

  • A need for widespread delivery of

training in financial management

  • Lending in the absence of capacity

development is ill-advised

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Policy lessons

  • Four areas of importance:

– Public policy must prioritise entrepreneurship – Expand the pool of potential entrepreneurs – Raise the capacity of existing entrepreneurs – Improve the environment for existing entrepreneurs

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Policy lessons for South Africa

  • Make entrepreneurship a top public

policy priority

– High level political support – Regulatory review – Subject other policies to the test “what will this policy mean for small and medium enterprise promotion”

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Policy lessons for South Africa

  • Expand the pool of entrepreneurs

– Focus on youth – Role of education

  • General
  • Entrepreneurship
  • Perception of own skills
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Policy lessons for South Africa

  • Skills development in existing

businesses

– Formal enterprises

  • Financial management skills

– Informal enterprises

  • Life skills
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Policy lessons for South Africa

  • Environment for entrepreneurship

– Systematize recognition of property rights – Enhance access to institutional finance – Improve efficiency of government – Reduce the impact of crime

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Thank You www.gsb.uct.ac.za/cie joorford@gsb.uct.ac.za