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Title: New Firm Creation: A Global Assessment of National Factors


1
  • New Firm Creation A Global Assessment of
    National Factors
  • VI International Workshop of Research Based on
    GEM
  • Universidad de Granada, Ceuta
  • Ceuta, Spain
  • 29 March 2011
  • Paul D Reynolds
  • Howard Hoffman Distinguished Scholar of
    Management and Entrepreneurship
  • George Washington University
  • PaulDavidsonReynolds_at_gmail.com

2
  • What national factors are associated with
    measures of business creation?

3
National Context Characteristics of the
workforce, national cultural social values,
current levels, structure, and change in economic
activity, structure of business population,
sector focus, centralized national control of
business activity
Personal Context Support for Entrepreneurship,
Potential for Financial Support
  • Personal Attributes
  • Age
  • Gender
  • Education
  • Work Experience
  • Confidence in ability to create buss
  • Fear of failure

Nascent Enterprise
?
New Business
Total Entrepreneurial Activity
4
National Measures of Business Creation
  • Total Entrepreneurial Activity
  • All, Opportunity, Necessity
  • Men, Opportunity, Necessity
  • Women, Opportunity, Necessity
  • High potential Technology Sector, Market Impact,
    Job Growth, Export Oriented
  • Economic Sectors Extractive, Transformative,
    Business Service, Consumer Oriented
  • Nascent Entrepreneurs
  • All, Opportunity, Necessity
  • New Firm Owner/Managers
  • All, Opportunity, Necessity
  • Twenty-three different measures

5
Dependent Variable Sources
  • Detailed APS Data
  • GEM 1998 -2008 Harmonized File
  • Algeria, Jordan, Lebanon, Morocco, Syria, West
    Bank/Gaza, Yemen for 2009
  • Summary Data from GEM Coordination 2009 file
  • All other 2009 countries
  • Total sample
  • 77 countries
  • About 1.1 million cases
  • Harmonized procedures for all transformation
    across all years
  • National values are all years for which data
    available
  • Computed for year, the averaged across the
    years
  • Missing data on some variables for countries
  • Detailed data missing in 2009 GEM aggregate
    file

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7
Necessity Entrepreneurs
  • Across the countries
  • About one-third of the activity
  • Higher proportion among countries with higher
    prevalence rates
  • Tend to be the developing countries
  • Varies over time
  • About 10 change in 12 month follow-up interview
  • From necessity to opportunity
  • New venture looks promising
  • From opportunity to necessity
  • Other work options look less promising
  • To ignore necessity entrepreneurs is to ignore a
    major portion of the phenomena

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10
Prevalence Rates, Selected Firm Births
Type of business activity /100 Adults Corr w/ TEA Overall
TEA Overall 11.5 1.0
Nascent Entrepreneurs 6.6 0.88
New Firm Owner-managers 5.4 0.85
TEA Overall Males 13.5 0.99
TEA Overall Females 9.4 0.97
TEA ventures High Tech Sectors 1.4 0.68
TEA ventures Market impact medium to high 1.6 0.88
TEA Ventures Growth oriented 20 jobs in five years 1.0 0.33
TEA Ventures Export oriented 25 internatl customers 0.8 0.28
TEA ventures extractive sectors 0.6 0.73
TEA ventures transformative 2.4 0.90
TEA ventures business services 1.2 0.27
TEA ventures consumer oriented 4.6 0.97
11
Dependent Variable Frequency Distributions
  • High skewed due to high values for small number
    of countries in the sample
  • Log 10 transform creates normal distributions
  • Log10 used in all regression models
  • Result is normally distributed residuals
  • Indication that data set meets most assumptions
    of the model

12
National Case Weights
  • If weight of one, all countries have equal impact
    on assessment
  • Emphasizes Western European business creation
  • 18 of 75 GEM countries Western European
  • Total sample of 75 countries
  • 3.2 billion persons 18-64 years of age
  • More activity in larger countries
  • Create weights based on proportion of total
    population represented in each country
  • Sum of the weights 75
  • Tonga 0.0015
  • China 21.10, 14,333 times Tonga
  • Population weighted analysis give emphasis to
    developing countries
  • Weights over 1 for Russia, Brazil, Indonesia,
    India, and China
  • Weights over 1 for Germany, Japan, and U.S.

13
Independent Variables Economic Characteristics
Source Yrs TEA r no wt TEA r pop wt
GDP per capita WEO 2009 -.61 -.57
GDP per capita increase WEO 2005-2008 0.08 NS 0.28
Human population increase US Census 1999-2009 0.48 0.39
Income inequality GINI index Solt (2009) 2000-2008 0.61 0.40
14
Independent Variables Structural Features
Source Yrs TEA r no wt TEA r pop wt
Firm size enterprises/ 100 adults GEM 2000-2009 0.71 0.78
Agriculture workers/ all workers World Bank 2000-2007 0.59 0.63
Industry workers/ all workers World Bank 2000-2007 -.42 -.59
Service workers/ all workers World Bank 2000-2007 -.47 -.55
15
Independent Variables Centralized Control of
Economic Activity (1/2)
Source Yrs TEA r no wt TEA r pop wt
Per cent workers in non-private sectors ILO and World Bk 2005 -.42 -.46
Government expenses as percent of GDP Heritage Found 2009 -.49 -.60
Ease of business registration index WB Doing Business 2009 0.52 0.46
Greater commercial legal costs index WB Doing Business 2009 0.29 0.18
16
Independent Variables Centralized Control of
Economic Activity (1/2)
Source Yrs TEA r no wt TEA r pop wt
Recognition of physical property rights index IPR Index Report 2009 -.49 -.40
Recognition of intellectual property rights index IPR Index Report 2009 -.57 -.64
Perceived Corruption Transparency Intal 2005 0.51 0.53
17
Independent Variables Population Capacity for
Business Creation
Source Yrs TEA r no wt TEA r pop wt
Entrepreneurial ready adults prevalence index 3 items GEM 2000-2009 0.70 0.72
Percent 25-44 yrs old persons in population US Census 2007 -.36 -.35
Percent adults with high school degree or more educ Barro Lee 2000 -.35 -.35
Men labor force participation World Bank 2007 0.43 0.60
Women labor force participation World Bank 2007 0.00 NS 0.09 NS
Unemployment rate World Bank 2000-2008 -.03 NS -.12 NS
18
Independent Variables National Cultural and
Social Norms
Source Yrs TEA r no wt TEA r pop wt
Prevalence of Informal Investors GEM 2000-2009 0.70 0.53
Cultural Support for Entrepreneurship 3 items GEM 2000-2009 0.40 0.55
Traditional versus Secular/Rational Values World Values Survey 1981-2006 -.62 -.26
Survival versus Self-Expressive Values World Values Survey 1981-2006 -.13 NS -.24
19
Comments on Correlation Patterns
  • Most correlations about the same regardless of
    weighting
  • Several measures retained despite low
    correlations
  • Female labor force participation
  • Survival versus self-expressive values
  • Unemployment rate

20
RR 0.50 LogTEA RR 0.54
21
Comment on GDP per Capita
  • Widely used as summary measure of the level of
    economic development
  • Quadratic relationship accounts for 50 (or more)
    of variance in level of TEA overall
  • But hard to know how to interpret
  • Assumes all countries have same development
    trajectory
  • Very crude indicator, not clear what national
    features are associated with differences
  • Useless for policy development
  • Actually a measure of outcomes expected from more
    business creation

22
World Values Survey
  • Collected data on 80 countries
  • Data on 64 GEM countries
  • Surveys completed over 5 waves
  • 1981, 1990, 1995, 2000, 2006
  • Two major dimensions, not correlated
  • Traditional versus secular-rational values
  • Emphasis on religion, obedience, respect for
    authority, national pride versus opposite
  • Survival versus self-expressive values
  • Emphasis on economic security, avoiding political
    involvement, care in trusting others versus
    opposite

23
Cultural Values Reinterpreted
  • Traditional focus associated with
  • Focus on work, husband as provider
  • Care of family a major responsibility
  • Respect for authority
  • No expectation of government assistance
  • Increased self-reliance regarding economic status
  • Survival focus associated with
  • Dissatisfaction with income
  • Security, good income a major priority
  • Working hard more important than leisure

24
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25
World Region Classification
Region GDP/Capita lt 20,000 GDP/Capita lt 20,000
North America, Oceania AU, CA, NZ, US
Western EU, Israel AT, BE, DE, FI, FR, DE, GR, IS, IL, IE, IT, NL, NO, PT, ES, SE, SW, UK
Central, Eastern EU BA, HR, KZ, LV, MK, PL, RO, RU, RS CZ, HU, SI
Asia CH, IN, ID, MY, PH, TH, TO HK, JP, KR, SG, TW
Middle East, North Africa DZ, EG, IR, JO, LB, MA, SY, TN, TR, PS, YE SA, AE
Latin America, Caribbean AR, BO, BR, CL, CO, DO, EC, GT, JM, MX, PA, PE, UY, VE
Sub-Sahara Africa AO, ZA, UG
26
World Regions
  • Major basis for replacing missing values for
    Independent Variables ONLY
  • Many cross national data sets are incomplete
    for smaller, low income countries
  • Missing value replace with mean value for world
    region cells
  • Not much of a problem for North America, Oceania
    or Western Europe, Israel
  • Not used for any GEM based measures

27
Linear Additive Regression Model Outcomes (1/3)
Dependent Variable Weighted by Population Weighted by Population
Explained Variance Significant Variables
TEA Overall n75 87.9 7
TEA Opportunity n75 87.2 8
TEA Necessity n75 86.9 6

Nascent Overall n765 82.3 5
Nascent Opportunity n74 75.0 5
Nascent Necessity n74 78.7 5

New Firm Overall n74 92.9 7
New Firm Opportunity n74 92.0 7
New Firm Necessity n74 86.2 5
28
Linear Additive Regression Model Outcomes (2/3)
Dependent Variable Weighted by Population Weighted by Population
Explained Variance Significant Variables
TEA High Tech Sector n73 63.3 5
TEA Market Impact n74 71.6 4
TEA Job Growth n74.3 80.5 6
TEA Export Oriented n74 66.0 7

TEA Extractive n73 85.8 7
TEA Transformative n73 86.9 6
TEA Business Service n73 63.4 5
TEA Consumer Oriented n73 85.1 4
29
Linear Additive Regression Model Outcomes (3/3)
Dependent Variable Weighted by Population Weighted by Population
Explained Variance Significant Variables
TEA Male All n75 82.5 5
TEA Male Opportunity n75 84.5 7
TEA Male Necessity n75 79.9 5

TEA Female All n75 88.7 8
TEA Female Opportunity n75 86.5 8
TEA Female Necessity n75 81.7 7
30
National Features in Models 1/2
Variable description Negative Positive Total
National Index Readiness for Entrepreneurship 18 18
All enterprises/100 Persons 18-64 Yrs Old 15 15
Percent Women 15-64 Yrs in Labor Force2007 13 13
Prevalence of informal investors /100 Persons 13 13
Traditional vs. Secular/Rational Values 10 10
Per cent Total Population 25-44 Yrs old 9 9
Income Inequality 2000-2008 Average 9 9
Business Start Regulation Index (Ratio) 5 1 6
Percent HS Degree or more 15 years 5 5
Per cent change GDP per capita 2003-08 1 4 5
National Index of Support for Entrepreneurship 2 3 5
Per cent government workers 3 2 5
31
National Features in Models 2/2
Variable description Negative Positive Total
Percent Men 15-64 Yrs in Labor Force2007 2 2 4
Unemployment Rate Avg 2000-2008 3 1 4
Physical property rights recognition Index 4 4
GDP per Capita PPP International Dollars 2009 3 3
Survival vs self-expressive values 1 2 3
Per cent agricultural workers 2009 2 2
Costs for commercial legal costs Index 2 2
Gov spending as per cent of GDP 1 1 2
Annual Pop Growth 1999-2009 (Avg) 1 1 2
Per cent service workers 2009 1 1
Intellectual property rights recognition Index 1 1
Perceived corruption index 2005 1 1
Per cent industry workers 2009 not included
32
Ranking of Major Categories
  • Population Capacity for Business Creation 21/23
    models
  • Readiness for Entrepreneurship 18
  • Percent women in the labor force 13
  • Percent population 25-44 years of age 9
  • National Cultural and Social Support 19/23
    models
  • Prevalence of informal investors 13
  • Emphasis on traditional values 10
  • Structural Features of the Economy 17/23 models
  • Presence of small enterprises 15
  • Centralized Control of Economic Activity 14/23
    models
  • Business Start Regulation Index 5/1
  • Per cent of all workers in government 2/3
  • Economic Characteristics 13/23 models
  • Income inequality 9
  • Per cent change GDP per capita 1/4
  • GDP per Capita 3

33
World Regions Business Creation
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37
Global Regions and Business Creation Factors
No America, Oceania Western EU Central, Eastern EU Hi Inc Central, Eastern EU Lo Inc Asia, Hi Inc MENA, Hi Inc MENA, Lo Inc Asia, Low Inc Latin America Sub-Sahara Africa
Number of countries 4 18 3 9 5 2 10 7 14 3

TEA Overall 10.3 5.1 5.0 6.4 5.1 6.4 10.8 14.8 17.6 18.5

Personal readiness -- -- ---
Small businesses -- -- - - --
Working women --- ----
Informal Investors - - - -
Traditional values -- -- -- --
Percent young adults ----
Income inequality - -- -- - -
Registration costs -- - - - ---
HS graduates -- - - - ---
Cultural support - -- - -
Government workers - - -- -
38
Policy Implications
  • No best policies will fit all situations
  • Improving capacity of individuals to pursue
    business creation
  • Takes resources, but might be done quicklyin a
    generation
  • Focus on training and education
  • Changing national cultural, social norms
  • Deserves attention, but a long term project
  • Decentralize economic decision making
  • Can change some features quickly (business
    registration)
  • But reflects basic social contract, political
    philosophy underlying the entire society, hard to
    adjust
  • Economic characteristics, economic structure
  • Basically the consequence or more business
    creation
  • May be difficult to adjust, consequence of
    business creation

39
Research Lacuna
  • Longitudinal Studies of Business Creation
  • Available in nine countries
  • Only one in a developing country (China) and that
    in urban areas
  • Provide a wealth of information about the nature
    of and success associated with the start-up
    process
  • Difficult to design, relatively expensive, and
    require a research team commitment for 4-6 years

PANEL STUDIES IN DEVELOPING COUNTRIES WOULD MAKE
A MAJOR CONTRIBUTON
40
Selected References
  • http//www.gemconsortium.org
  • http//www.psed.isr.umich.edu.
  • Barro, Robert J . and Jong-Wha Lee. 2000.
    International Data on Educational Attainment
    Updates and Implications. Cambridge, MA Harvard
    University, Center for international Development.
    Working Paper 42.
  • Bosma, Niels and Jonathan Levie. 2010. Global
    Entrepreneurship Monitor 2009 Executive Report.
    Global Entrepreneurship Research Association.
  • Gartner, W.B., K.G. Shaver, N. M. Carter, and P.
    D. Reynolds (Eds). (2004). Handbook of
    Entrepreneurial Dynamics The Process of Business
    Creation. Thousand Oaks, CA Sage Publications.
  • Inglehart, Ronald and Christian Welzel. 2005.
    Modernization, Cultural Change and Democracy. New
    York, Cambridge University Press.
  • La Porta, Rafael, Florencio Lopez-de-Silanes, and
    Andrei Shleifer. 2008. The Economic Consequences
    of Legal Origins. Journal of Economic Literature
    46(2)285-332.
  • Reynolds, Paul D. (2007). New Firm Creation in
    the U.S. A PSED I Overview. Hanover, MA now
    Publishers, Inc.
  • Reynolds, Paul D. (2010) MENA Region
    Entrepreneurship. Cairo, Egypt International
    Development Research Centre Report.
  • Reynolds, Paul, Niels Bosma, Erkko Autio, Steve
    Hunt, Natalie De Bono, Isabel Servais, Paloma
    Lopez-Garcia, and Nancy Chin. (In 2005) Global
    Entrepreneurship Monitor Data Collection Design
    and Implementation 1998-2003. Small Business
    Economics 24 205-231.
  • Reynolds, Paul D. and Richard T. Curtin. (2008).
    Business Creation in the United States Entry,
    Startup Activities and the Launch of New
    Ventures. Chapter 8 in U.S. Small Business
    Administration. The small Business Economy A
    Report to the President. Washington, DC U.S.
    Government Printing Office (in press).
  • Reynolds, Paul D. and Richard Curtin (2008).
    Business Creation in the United States Panel
    Study of Entrepreneurial Dynamics II Initial
    Assessment. Foundations and Trends in
    Entrepreneurship. V(3)155-307.
  • Reynolds, Paul D. and Richard T. Curtin (Eds).
    (In press). New Business Creation An
    International Perspective. New York City, NY
    Springer.  
  • Reynolds, Paul D. and Richard T. Curtin (Eds).
    (2009). New Firm Creation in the United States
    Preliminary Explorations with the PSED II Data
    Set. New York City, NY Springer.  
  • Solt, Frederick. 2009. Standardizing the World
    Income Inequality Database. Social Science
    Quarterly. 90(2)231-242.
  • World Bank. 2009a. Doing Business 2010. New York
    Palgrave MacMillan.
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