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Global Entrepreneurship Week Policy Survey 2013

Global Entrepreneurship Week is the world’s largest celebration of the innovators and job creators who launch startups that bring ideas to life, drive economic growth and expand human welfare.

During one week each November, GEW inspires people everywhere through local, national and global activities designed to help them explore their potential as self-starters and innovators. These activities, from large-scale competitions and events to intimate networking gatherings, connect participants to potential collaborators, mentors and even investors—introducing them to new possibilities and exciting opportunities.

Millions who had never before considered launching their own ventures soak up advice and inspiration from the likes of Richard Branson, Michael Dell and Muhammad Yunus. Thousands of brand new startups spring to life through bootcamps like Startup Weekend and competitions like Startup Open. Hundreds of universities strengthen connections that help them commercialize research from their labs. Researchers and policymakers engage in discussions around the world to examine the underlying policies necessary to promote entrepreneurial growth. And serial entrepreneurs share their expertise through activities like EO24, run by the Entrepreneurs’ Organization, and practical training courses like FastTrac.

Meanwhile, world leaders and local elected officials alike have embraced the campaign as they look to fuel the economic engine of high-growth startups in their own countries and communities. During 2012 alone, presidents and prime ministers from 20 countries supported Global Entrepreneurship Week while 93 ministers from 54 countries participated by speaking at activities during the Week, filming statements of support or otherwise endorsing the national campaigns in their countries.

GEW is more than just an awareness campaign. It is a platform for connection and collaboration—engaging all players along the entrepreneurship spectrum in strengthening ecosystems around the world.

Firm Formation and Growth Series

The Kauffman Foundation Research Series on Firm Formation and Economic Growth consists of reports that explore the relationship between firm formation and economic growth in the United States from a variety of angles.

The Kauffman Foundation Research Series on Firm Formation and Economic Growth consists of reports that explore the relationship between firm formation and economic growth in the United States from a variety of angles.

The reports in the series include:

Elon Musk, Oprah Winfrey, and Steve Jobs: Who is an Entrepreneurial Role Model?

Role models and imitation are important in entrepreneurship. In an October 2013 paper, “Getting the Bug: Is (Growth) Entrepreneurship Contagious,” we looked at the role of imitation in spurring entrepreneurship. In a related effort, this paper looks at entrepreneurial role models through the lens of which entrepreneurs are most readily identifiable by U.S. residents.

Getting the Bug: Is (Growth) Entrepreneurship Contagious?

The paper presents the results of a survey of 2,000 Americans across the country, asking whether they knew entrepreneurs – both in general and specifically “growth” entrepreneurs whose ventures add more employment and wealth to the economy – and if they themselves were entrepreneurs.

The paper “Getting the Bug: Is (Growth) Entrepreneurship Contagious?” presents the results of a survey of 2,000 Americans across the country, asking whether they knew entrepreneurs – both in general and specifically “growth” entrepreneurs whose ventures add more employment and wealth to the economy – and if they themselves were entrepreneurs.

The data then was analyzed by age, gender, geographic region and income level.

Overall, 36.7 percent of respondents reported knowing an entrepreneur, but only 15.4 percent knew a growth entrepreneur. These differences were more dramatic when evaluated by gender: 24.8 percent of men claimed to know a growth entrepreneur, compared with 12.1 percent of women.

Similar disparities appeared by income level: lower income respondents (annual salary of $24,999 or less) were most likely to know so-called “subsistence entrepreneurs” (48.1 percent), but least likely to know a growth entrepreneur (13.8 percent), while 26.7 percent of higher-income respondents knew growth entrepreneurs.

The survey also examined whether respondents knowing entrepreneurs made them more likely to be entrepreneurs themselves. The results indicate a significant association between knowing an entrepreneur and being one: 37.8 percent of respondents who knew a growth entrepreneur were entrepreneurs themselves, as were 35.5 percent of respondents who knew entrepreneurs overall. Men were more likely to be entrepreneurs if they knew an entrepreneur than were women, in both the growth and overall entrepreneur categories.

Other survey findings include:

  • People in the U.S. Northeast were more likely to know entrepreneurs overall than in other areas of the country, with 43.1 percent reporting knowing an entrepreneur. However, respondents in the U.S. West were most likely to report knowing a growth entrepreneur specifically (18.2 percent) than people in other geographic regions.
  • Younger respondents (ages 25-34) had an edge over other age groups in knowing growth entrepreneurs (20.2 percent), while respondents ages 45-54 were most likely to know an entrepreneur in general (48.6 percent).

How Can I Create My Favorite State Ranking?

State economic rankings, though popular with think tanks, policymakers, media and even some academics, cannot be taken at face value, according to this article.

The article, published online by the Journal of Applied Research in Economic Development, points out that such rankings typically are subjective and provide little meaningful information, despite their pervasiveness.

For example, the Small Business and Entrepreneurship Council’s Small Business Survival Index – one of more than a dozen state rankings touted across the country – is based on factors such as taxes, health care costs, minimum wage level and the presence of right-to-work laws. However, this measures government costs without factoring in benefits generated by government, such as infrastructure and small business development centers.

The authors point out that Kauffman Foundation research has been used as the basis for ranking states, most notably on the rate of entrepreneurial activity, formalized in the Kauffman Index of Entrepreneurial Activity. This is an index based on data from the U.S. Census Bureau and Bureau of Labor Statistics, and it has never intended to be used to claim that one state or another is “better” for entrepreneurs.

Forthcoming Kauffman research, the article says, shows that many rankings fail even to correlate with company owners’ business climate perceptions. Further, the proliferation of state rankings can lead policymakers and economic development consultants to misuse them, either celebrating a conveniently positive ranking or initiating efforts to address a poor ranking, when neither action is based on valid economic indicators.

The authors conducted a series of exercises to demonstrate how such rankings can be manipulated. The exercises were based on eight state-level indicators related to innovation and entrepreneurship:

  • Self-employment rate
  • Kauffman Index of Entrepreneurial Activity
  • Business startup rate
  • Ratio of science and engineering bachelor degree holders to the total population
  • Patents per science and engineering workforce
  • Venture capital investment over Gross State Product
  • Research and development expenditures
  • Number of high-growth Inc. 500 firms

The indicators were chosen because they typically are used to measure entrepreneurship and innovation, two vital indicators for every state’s economic health. But after employing several analyses, the researchers found that most of the eight indicators were only modestly correlated, if at all.

To prove the point, the authors invite readers to create their own state rankings. Demonstrating that rankings can be developed in ways that favor any given state, the Kauffman researchers created a simulation analysis with randomly generated weights, which revealed that, among 1,000 different scenarios, five states were eligible to be No. 1, 16 were eligible for the Top Five and 22 could be ranked in the Top 10.

The subjectivity and limitations of state economic rankings led to four observations, according to the article:

  • Policymakers should not rely on a single indicator to gauge economic conditions.
  • Aggregating indicators does not provide solutions because indicators are highly variable.
  • Policymakers should not focus on improving their states’ rankings because the rankings lack meaning.
  • Rather, they should employ a scorecard approach, which does not create a normative, quantified measure, but descriptively assesses various conditions of each state.

Entrepreneurial Confidence Survey Brief: Kauffman/LegalZoom Q2 2013 Survey

In this, the second quarter 2013 release of the Kauffman/LegalZoom Startup Confidence Index, startup business owners’ confidence reached the highest level since the study was initiated in first quarter 2012.

Business owners’ confidence in achieving greater profitability over the next 12 months saw an overall increase driven primarily by the 31–40 and 60-plus age groups, with 91 percent and 76 percent, respectively, either somewhat or very confident. Younger entrepreneurs – those 18–30 years old – remain more certain about their businesses’ future profitability than older entrepreneurs, with 93 percent either somewhat or very confident in their prospects.

The second-quarter survey included several new questions that provided insights into respondents’ characteristics and their companies’ profiles. As expected, businesses in the study were very small, with 87 percent having just one to four employees, including the owner. However, 37 percent of young businesses said they plan to hire employees, and an astonishing 69.5 percent of the startup owners anticipate having six or more employees within the next five years.

Mirroring their optimism for their companies’ profits in the year ahead, entrepreneurs’ faith in the economy shot up. Seventy-four percent said they believe the economy will improve or stay the same over the next 12 months, a jump of 10 percent over the first-quarter survey.

The percentage of entrepreneurs expecting steady or increased consumer demand over the next year also rose to its highest number since inception of the index, from 71 percent in first quarter to 83 percent in second quarter.

Startup owners ages 18–30 expressed 91 percent confidence that consumer demand would hold or increase, and were the most optimistic of any age group.

The Kauffman Foundation sponsors the Startup Confidence Index surveys in conjunction with LegalZoom, a leading national provider of online legal solutions and legal plans to young companies.

The second-quarter findings are based on 1,742 responses to a nationwide, July 2013 survey distributed via email to LegalZoom customers who formed their entities within the last six months. The Index is conducted quarterly to gauge entrepreneurial confidence.

2013 Q2 Kauffman LegalZoom Startup Confidence Infographic

Path-Dependent Startup Hubs – Comparing Metropolitan Performance: High-Tech and ICT Startup Density

This paper finds that Kansas City and other areas viewed as “new” startup hubs actually have been fostering a culture of entrepreneurship for some time. Many of these cities have a history of strong technology sectors or experienced strong growth among technology startups over the past two decades.

The paper, “Path-Dependent Startup Hubs – Comparing Metropolitan Performance: High-Tech and ICT Startup Density,” says that a strong regional or local culture of technology entrepreneurship is not a recent phenomenon, contrary to the opinions of many. The top 10 cities in 2010 also ranked among the top 20 cities two decades earlier.

However, some cities, like Kansas City, which ranked No. 3 in high-tech startup growth among large metropolitan areas between 1990 and 2010, are surprising.

The analysis shows that many cities’ recent adoption of new entrepreneurship programs is more an indication of the underlying strength of the region and its base of talent on which those programs can build than it is a cause of startup activity.

Cities such as Kansas City, Seattle, Portland and Boise “all owe their emerging entrepreneurial ecosystems to many years of spinoffs and entrepreneurial spawning,” the white paper says.

Research universities and other postsecondary institutions are important for metropolitan entrepreneurship, but are not the sole cause in spurring such activity. Instead, the most fertile source of entrepreneurial spawning is “the population of existing companies, which has implications for economic policymaking and economic development strategies,” the white paper notes. The white paper confirms – at least impressionistically – the importance of spinoff activity for fostering vibrant entrepreneurial cultures. It cites research showing that the “peak age” for entrepreneurs ranges from about 35 to 45.

“Entrepreneurs come from somewhere – this seems obvious,” the white paper says. But that observation “runs against the prevailing stereotype that entrepreneurs are, or should be, recent college grads or college dropouts. That ‘somewhere’ usually is a previous job in a big company or at an institution, such as a university, which helps explain the age distribution of entrepreneurs.”

However, the paper warns, regions should be careful in turning these observations into policy. While spinoffs are important for tech startup growth, such a strategy could be wrongly interpreted as supporting traditional economic development strategies of tax incentives for big companies.

How Do Business Owners Perceive The State Business Climate? Using Hierarchical Models to Examine Business Climate Perception and State Rankings

State business climate rankings are popular and can be influential in policymaking. Past academic studies have criticized those rankings for being based on some subjective criteria and on state-level data.

This paper proposes, first, that a business climate is an individual perception, and second, that a business climate is a case-specific condition depending on industries and stages of firm development.

Thus, it is critical to measure the business climate at the decentralized, individual level.

We employ a newly released survey of over 3,600 small business owners and conduct hierarchical models to control both individual and state variables, and to examine within and between state covariates.

Regression results demonstrate that most state rankings are null even for individual perception of business climate, and in fact some rankings are negatively associated.

Moreover, contrary to the conventional understanding, personal income, corporate income, and sales taxes are not reflected in the perception, but property taxes are.

These findings suggest a need for fundamental reconsideration of how policymakers use business climate rankings.

Tech Starts: High-Technology Business Formation and Job Creation in the United States

High-tech startups are a key driver of job creation throughout the United States, according to research by technology policy coalition Engine and the Ewing Marion Kauffman Foundation. Though they start lean, new high-tech companies grow rapidly in the early years, adding thousands of jobs along the way.

Previous Kauffman research has shown that new and young firms are responsible for net job creation, not small businesses in general. This report contrasts business and job creation dynamics in the entire U.S. private sector with the innovative high-tech sector – defined here as the group of industries with very high shares of employees in the STEM fields of science, technology, engineering and math. These differences are highlighted at the national level, as well as detailing regions throughout the country where high-tech startups are being formed each year.

High-tech firm births were 69 percent higher in 2011 than in 1980, and drilling down within high-tech to isolate just the ICT sector (Information and Communications Technology), new firm births grew by 210 percent. At the same time, private-sector business creation was down 9 percent.

The report also finds that high-tech startups are springing up at a higher rate than all private-sector businesses. Relative to their share of firms in the economy, high tech is 23 percent more likely, and ICT as a segment of high tech is 48 percent more likely, than the private sector as a whole to witness a new business formation.

What’s more, these high-tech startups are becoming increasingly geographically diverse, while the opposite is true for new businesses across the economy generally.

Top 10 Metro Areas for High-Tech Startup Density:

  1. Boulder, Colo.
  2. Fort Collins-Loveland, Colo.
  3. San Jose-Sunnyvale-Santa Clara, Calif.
  4. Cambridge-Newton-Framingham, Mass.
  5. Seattle, Wash.
  6. Denver, Colo.
  7. San Francisco, Calif.
  8. Washington-Arlington-Alexandria, DC-Va.-Md.
  9. Colorado Springs, Colo.
  10. Cheyenne, Wyo.

The report used data from the Business Dynamics Statistics (BDS) series, which is compiled by the U.S. Census Bureau and tracks the annual number of new businesses (startups and new locations) from 1976 to 2011. More information about the BDS can be found at the U.S. Census Bureau. The BDS represents the gold standard of business creation data. In contrast to other indicators that lump employer firms (those coming into existence with employees) together with non-employers and self-employment, the BDS tracks only employer companies. It also allows researchers to separate firms (unique businesses) from establishments (multiple locations of single firms, such as a new Starbucks location) and make important advances in data collection and policymaking.

The Evolution of Entrepreneurship in Kansas City: A Visual Approach to Analyzing Entrepreneurial Development

A newly created map of Kansas City’s entrepreneurial community points to nearly a dozen firms and institutions that have spawned a majority of the metro region’s information technology and life sciences companies.

Based upon research funded by the Ewing Marion Kauffman Foundation and conducted by Professor Heike Mayer of the University of Bern in Switzerland, the new data visualization depicts Kansas City’s entrepreneurial development over the past 50-plus years.

The new “Kansas City Tech Galaxy” poster map visualizes data on the entrepreneurial heritage, or genealogy, of nearly 600 firms and institutions in the region. The founders and principals of 214 Kansas City tech companies responded to an online survey Mayer conducted in late 2012 and early 2013. That data was supplemented by secondary research on another 368 area firms. Most respondents can be categorized as small businesses.

Mayer recognizes the initial map may not show the full extent of spinoffs and entrepreneurial development in the Kansas City region and encourages local companies to provide continued input. A form is available to collect responses.

Marion Laboratories, MRI Global, Sprint, the University of Kansas and the University of Missouri-Kansas City—all founded before the 1970s—have yielded the most spinoff tech companies in the region. Another five firms that originated from the 1970s on—Cerner, Innovative Software, Perceptive Software, Proteon Therapeutics and Archer Technologies—have brought about four or more spinoffs each.

An executive summary provides additional data that was captured in the survey, including founders’ responses to questions on company financing, sources of news business ideas, relationships with area universities, and advantages and disadvantages to operating a tech business in the Kansas City region. Findings of note include:

  • 70 percent of Kansas City entrepreneurs used personal savings to launch their startups, while just 9.4 percent accessed venture capital.
  • Respondents gave mentors who give advice the highest rating (52.5 percent) as sources of new ideas for Kansas City entrepreneurs; customers and users followed at 43.8 percent.
  • Key advantages of the region include informal local access to innovative people, ideas and technologies, as well as supportive local entrepreneurship organizations and initiatives.
  • On the negative side, respondents cited difficulties in accessing capital locally, as well as local shortages of technology, marketing and sales talent.