Angel Financing and the Performance of High‐Tech Start‐Ups

In this paper, we investigate what drives the performance of high‐tech start‐ups receiving angel financing, while taking a closer look at the capabilities (i.e., experience) and investment behavior of business angels (BAs). We exploit a new data set (extracted from Crunchbase), which consists of 1,933 high‐tech start‐ups that received at least one financing round from a BA. The results indicate that the experience of BAs in early stage investments is positively associated with additional receipt of follow‐on rounds of financing and sequential capital injections from venture capitalists (VCs). Later‐stage experience is positively associated with the start‐up's success (i.e., probability to be listed or acquired), but reduces the need for new VCs to invest in the start‐up. Furthermore, we find consistent evidence that start‐ups that combine BA and VC financing experience higher levels of funding amounts, additional VC financing, and an improved likelihood of success. Finally, we find that the co‐localization of BA investors and start‐ups in the same area facilitates the attraction of VC financing.     

The Impact of Relational Capital on the Success of New Business Start‐Ups

This study seeks to highlight the key role played by relational capital in new business start‐ups. Following a review of previous research examining the success factors of new ventures and the role played by intellectual capital, our study sets out to achieve this objective by analyzing the impact of a set of intangible relational assets on the initial success of new business start‐ups. Based on a study of 130 firms, we analyzed six hypotheses regarding the possible positive relationship between the relational capital of a start‐up company and its success in its first few years of business.     

Following the Crowd—Does Crowdfunding Affect Venture Capitalists’ Selection of Entrepreneurial Ventures?

Given the increasing popularity of crowdfunding as a new means to finance entrepreneurial ventures, we assess whether and how crowdfunding campaign‐specific signals that affect campaign success influence venture capitalists’ selection decisions in ventures’ follow‐up funding process. Our study relies on cross‐referencing a proprietary data set of 56,000 crowdfunding campaigns that ran on Kickstarter between 2009 and 2016 with 100,000 investments in the same period from the Crunchbase data set. Drawing on signaling theory and the microfinance literature, our empirical findings reveal that a successful crowdfunding campaign leads to a higher likelihood to receive follow‐up venture capital (VC) financing, and that there exists an inverted U‐shaped relationship between the funding‐ratio and the probability to receive VC funding. Further, we find statistical evidence that an endorsement by the platform provider has a likewise positive impact on the receipt of VC. Contrary to our expectations, word‐of‐mouth volume seems to be a negligible factor when it comes to follow‐up VC financing. Our results support the view that crowdfunding signals are factored into the VC’s funding decision in order to evaluate the potential of entrepreneurial ventures.     

The Impact of Social Capital on the Start‐ups' Performance Growth

This paper analyzes the development of strong and weak ties of social capital between a start‐up and its main customers and its impact on the growth of the start‐up's economic and innovative task performance outcomes. Results confirm that there are different configurations of social capital able to influence the start‐up's performance growth during its life cycle, which are contingent on the selected measures of task performance outcomes. Our findings can offer some interesting reflections in the field of social capital, entrepreneurship, and performance research, raising critical strategic implications for start‐ups in terms of opportunities, resources, and governance.     

The Impact of Human and Social Capital on Entrepreneurs’ Knowledge of Finance Alternatives

Building upon prior research that demonstrates how the limited knowledge of finance alternatives of entrepreneurs may cause suboptimal finance decisions, this paper examines how entrepreneurs’ human and social capital influence their knowledge of finance alternatives. For this purpose, we use survey data from 103 Belgian start‐ups. Results demonstrate that entrepreneurs with a business education and entrepreneurs with experience in accountancy or finance have a broader knowledge of finance alternatives. Having a strong network in the financial community is further positively associated with the knowledge of finance alternatives. However, generic human capital, including higher education, industry experience, and management experience, is almost not related with the knowledge of finance alternatives.     

Voluntary disclosures and peer-to-peer lending decisions: Evidence from the repeated game

This study investigates the effect of voluntary disclosures on lending decisions in the repeated game. Using a unique dataset from a peer-to-peer lending platform,“ppdai” (paipaidai), we document that voluntary disclosures in the repeated game play a stronger role in promoting funding success than those in the one-shot game. We argue that voluntary disclosures improve the bidding activity in the repeated game through which they increase funding success. In addition, the greater impact of voluntary disclosures on funding success in the repeated game only holds for loans without a personal guarantee attribution. Our extended results suggest that the subjective voluntary disclosures in the repeated game have greater information content only when borrowers have a successful borrowing experience. We also point out that voluntary disclosures in the repeated game are associated with a lower probability of default. Our results are robust to the Heckman two-step estimation that addresses the self-selection effect and a specification designed to rule out the alternative explanation from reputation in the repeated game. Our study provides new insights into the real effects of costless, voluntary and unverifiable disclosures on lending decisions.     

Wage Effects of Labour Migration with International Capital Mobility

Wage effects of immigration are investigated in a setting with international capital mobility, which eliminates two‐thirds of the native wage effects of immigration. Without international capital mobility, overall gains from migration in the immigration region are only a small fraction of total losses to native workers, but with perfect international capital adjustment, overall gains are larger than total losses to native workers. Two alternative tax policies to eliminate the negative wage effects of immigration on low‐skilled native workers are evaluated.     

Who Do Start‐Up Firms Imitate? A Study of New Market Entries in the CLEC Industry

Institutional theory contends firms imitate other firms with ideal traits, whereas the strategic groups literature on imitation suggests firms imitate similar firms. We address this debate by studying 1,067 market entries by founder‐managed start‐ups in the U.S. Competitive Local Exchange Carrier industry from 1996 to 2004. In support of the strategic groups literature, start‐ups imitate entry decisions of and gravitate toward markets that are densely populated by other start‐ups. Though start‐ups avoid markets already densely populated by corporate ventures, they imitate the market entries of corporate ventures. Our discussion of these and other findings provide insights for start‐ups navigating new industries.     

Does Founders' Human Capital Matter for Innovation? Evidence from Japanese Start‐ups

Using an original questionnaire survey, this paper explores whether and how founders' human capital affects the innovation outcomes of start‐ups. We found that founders with greater human capital are more likely to yield innovation outcomes. Because certain types of human capital may boost research and development (R&D) investment, which possibly results in innovation outcomes, we estimate the determinants of innovation outcomes by an instrumental variable probit model. Our findings suggest that specific human capital for innovation, such as prior innovation experience, is directly associated with innovation outcomes, whereas generic human capital, such as educational background, indirectly affects innovation outcomes through R&D investment.     

Redistribution of Trade Gains in the Presence of Firm and Worker Heterogeneity

Trade gains are unequally distributed; in particular, low‐ability workers lose out in terms of wages and employment probability. In this paper, we investigate the impact of redistribution schemes on aggregate and disaggregate variables. To this end, we built a trade model with trade unions, heterogeneous firms and workers. Three redistribution schemes are distinguished: unemployment benefits financed by either a wage tax, a payroll tax or a profit tax. We find that: (i) all three redistribution schemes reduce output per capita; (ii) but the marginal reduction is lowest in the wage tax funding scenario; and (iii) If the profit tax is used, labour demand for low‐ability workers increases.     

Tax incentives… or subsidies for business R&D?

We study whether firms’ actual use of R&D subsidies and tax incentives is correlated with financing constraints -internal and external- and appropriability difficulties and investigate whether both tools are substitutes. We compare the use of both policies by SMEs and by large firms and find significant differences both across instruments and across firm size. For SMEs, financing constraints are negatively correlated with the use of tax of credits, while they are positively associated with the likelihood of receiving a subsidy. The use of legal methods to protect intellectual property is positively correlated with the probability of using tax incentives, but not with the use of subsidies. For large firms external financing constraints are correlated with instrument use, but results regarding appropriability are ambiguous. Our findings suggest that (1) direct funding and tax credits are not perfect substitutes in terms of their ability to reach firms experiencing barriers associated to market failures; (2) one size may not fit all in innovation policy when the type or intensity of market failure differs across firm size, and (3) subsidies may be better suited than tax credits to encourage firms, especially young knowledge-based firms, to start doing R&D.     

Building service businesses in Africa: Introducing the business builder model

The success of Silicon Valley has served as a driving force for entrepreneurs and investors worldwide. Many have attempted to create their own version in developing markets by setting up Silicon Valley‐style tech incubators. In recent years, Africa has seen an influx of these start‐up incubators, which has resulted in an emergence of major tech hubs in different parts of the continent. These areas have taken on names synonymous with the booming tech industry: Cape Town in South Africa is known as the Silicon Cape, Nairobi in Kenya as the Silicon Savannah, and Lagos, Nigeria as the Silicon Lagoon. Despite the influx and success of some of these incubators, there is also a multitude of examples where success and longevity are rare. The lifespan of these start‐ups are short and they seldom realize any profit. Limited access to capital markets, poor infrastructure, and weak regulatory environment are just a few reasons cited for this. Although there is a multitude of articles and publications that feature success cases and reasons behind propelling success, there are far fewer that focus on failures. As such, with this article we aim to shed light on the various reasons why these businesses fail by analyzing the literature and demonstrating them with real‐world examples of both successes and failures in the market. Using the information analyzed, we then propose a solution for successfully investing in tech startups in the developing world, the business builder model.     

Estimating the Benefits of Individual Retirement Accounts: A Comparison to Capital Gains Investments

This paper compares the benefits of investing funds in an IRA account to the benefits of investing funds in a long-term capital gains investment. The comparison is motivated because IRA funds, although they can be placed in a long-term capital gains account, are ultimately taxed at ordinary income tax rates. IRA funds cannot receive the favorable long-term capital gains tax treatment. Following previous work by Collins, gain factors are computed for IRA accounts vs. long-term capital gains accounts. In most cases the gain factors are larger than one, although much smaller than when the alternative investment is a typical savings account. Gains factors are, however, universally less than one for premature withdrawal of the IRA.     

Capital structure decision making: A model for family business

Most theoretical and empirical studies of capital structure focus on public corporations. Only a limited number of studies on capital structure have been conducted on small-to-medium size enterprises (SMEs), and this deficiency is particularly evident in investigations into factors that influence funding decisions of family business owners.Theory indicates that there is a complex array of factors that influence SME owner-managers' financing decisions. Recent family business literature suggests that these processes are influenced by firm owners' attitudes toward the utility of debt as a form of funding as moderated by external environmental conditions (e.g., financial and market considerations).A number of other factors have been shown to influence financing decisions including culture; entrepreneurial characteristics; entrepreneurs' prior experiences in capital structure; business goals; business life-cycle issues; preferred ownership structures; views regarding control, debt–equity ratios, and short- vs. long-term debt; age and size of the firm; sources of funding for growth; attitudes toward debt financing; issues relating to independence and control; and perceived risk and attitudes toward personal risk.Although these factors have been identified, until now there does not appear to have been any attempts to develop empirically-based models that show relationships between these factors and family business owners' financing decisions. Utilizing theories derived from divergent disciplines, this study develops an empirically tested structural equation model of financing antecedents of family businesses. Participants of our study involved a random sample of 5000 business owners who were mailed a 250-item Australian Family and Private Business questionnaire developed specifically for this investigation.Notably, our findings reveal that firm size, family control, business planning, and business objectives are significantly associated with debt. Small family businesses and owners who do not have formal planning processes in place tend to rely on family loans as a source of finance. However, family businesses in the service industry (e.g., retailers and wholesalers) are less likely to use family loans as are those owners who are planning to achieve growth through new products or process development. Use of capital and retained profits is likely for family businesses planning to achieve growth through an increase in sales but less is likely for family businesses in the manufacturing sector and lifestyle firms. In addition, debt and family loans are negatively related to capital and retained profits. Equity is a consideration for owners of large businesses, young firms, and owners who plan to achieve growth through increasing profit margins. However, equity is less likely to be a consideration for older family business owners and owners who have a preference for retaining family control.Our findings suggest that the interplay between multiple social, family, and financial factors is complex. In addition, our findings indicate the importance of utilizing theories that also help to explain behavioral factors (e.g., owners' needs to be in control) that affect financial structure decision-making processes. Practitioners and researchers should consider the dynamic interplay among business characteristics (e.g., size or industry), behavioral aspects of business financing (e.g., business objectives), and financial factors (e.g., gearing levels) when working with and researching family enterprises.     

Trade Liberalisation and Capital Spending by US Manufacturers

This is the first paper to study the impact of long‐term tariff reductions on capital spending by US manufacturers. We investigate fluctuations in investment for approximately 400 different four‐digit industries during the period 1974–2005. Our results indicate that the dismantling of tariff and quota protection has had a stimulatory effect on US manufacturing investment, despite the relatively low average tariff rate that existed at the start of our sample period. However, our findings reveal that reductions in input tariffs rather than output tariffs were the source of this effect, suggesting that better access to foreign inputs rather than increased foreign competition at the output level served as the primary stimulus for increased US manufacturing investment.     

Microfinance Performance and Social Capital: A Cross-Country Analysis

In recent years, the microfinance industry has received a substantial amount of cross-border funding from both public and private sources. This funding reflects the increasing interest in microfinance as part of a more general trend towards socially responsible investments. In order to be able to secure sustained interest from these investors, it is important that the microfinance industry can show evidence of its contribution to reducing poverty at the bottom of the pyramid. For this, it is crucial to understand under what conditions microfinance institutions (MFIs) are able to reduce poverty. This paper contributes to this discussion by investigating the relationship between the extent to which social capital formation is facilitated within different societies and the financial and social performance of MFIs. This focus on social capital formation is important, because in many cases MFIs use group loans with joint liability to incentivize asset-poor borrowers to substitute the lack of physical collateral by their social capital. Hence, the success of a large part of the loan relationship between MFIs and their borrowers depends on the social capital those borrowers can bring into the contract. We carry out a cross-country analysis on a dataset containing 100 countries and identify different social dimensions as proxies for how easy social capital can be developed in different countries. We hypothesize that microfinance is more successful, both in terms of their financial and social aims, in societies that are more conducive to the development of social capital. Our empirical results support our hypothesis.     

Financing the entrepreneurial decision: an empirical approach using experimental data on risk attitudes

This paper empirically examines the role of personal capital in the entry decision for US high-technology entrepreneurs. Our innovative approach utilizes both survey data and data from economics-based field experiments, which enables us to elicit and control for the risk attitudes of individual entrepreneurs in the study. Empirical findings suggest that (1) Small Business Innovation Research (SBIR) grants, (2) credit cards, and (3) earnings from a salaried job are among the most important sources of funds for entrepreneurs in their decision to start up a firm. Our findings support Evans and Jovanovic (Journal of Political Economy 97(4):808–827, 1989) in that wealth appears to have a positive impact on the probability of starting up a firm, even when controlling for risk attitudes; however, risk attitudes do not appear to have a strong role to play in the entry decision overall. Policy implications suggest that firm start-ups are dependent on access to capital in both initial and early stages of development, and that government funding, including SBIR grants, is an important source of capital for potential and nascent high-technology entrepreneurs.     

Startup Success Factors in the Capital Attraction Stage: Founders’ Perspective

Only a small percentage of startups attract capital from venture capital investors. To determine the factors which owners of startups consider the most important for attracting seed venture investments, the founders of 40 startups in Latvia and Russia were questioned. The researchers compared organizational and financial factors’ importance for two groups of entrepreneurs: those who succeeded and those who failed in attracting funding. The results of the study indicate certain differences between the viewpoints of founders and investors regarding success factors. Based on the factor and regression analysis, the authors developed a model to forecast success in capital attraction.     

How On‐the‐Job Embeddedness Influences New Venture Creation and Growth

This study aims to answer why some employees choose to start their own ventures, whereas others choose to seek jobs in other organizations after leaving their current employment. Drawing insights from knowledge‐based view and social capital theory, we examine the impact of on‐the‐job embeddedness on the decision of employee entrepreneurship, industry choice, and new venture growth. We argue that on‐the‐job embeddedness provides key resources for employees to start new ventures and grow them. We test our hypotheses with Panel Study of Entrepreneurial Dynamics (PSED) data. Our results show that on‐the‐job embeddedness increases the probability of employees becoming entrepreneurs. Once they decide to become entrepreneurs, those employees with high on‐the‐job embeddedness are more likely to start new ventures in the industry in which they worked before. Moreover, employees' on‐the‐job embeddedness has a positive impact on new venture growth.     

Distributional Effects of Public Investment when Wealth and Classes are Back

In developed economies, wealth inequality is high, while public capital is underprovided. Here, we study the impact of heterogeneity in saving behavior and income sources on the distributional effects of public investment. A capital tax is levied to finance productive public capital in an economy with two types of households: high income households who save dynastically and middle income households who save for retirement. We find that inequality is reduced the higher the capital tax rate is and that low tax rates are Pareto‐improving. There is no clear‐cut trade‐off between efficiency and equality: middle income households’ consumption is maximal at a capital tax rate that is higher than the rate which maximizes high income households’ consumption.