Bank vs. Bond Finance

Author(s):  
Wolfgang Breuer ◽  
Benjamin Quinten ◽  
Astrid J. Salzmann

This chapter enhances the growing research field of Cultural Finance by analyzing the relationship between cultural value types—in particular, Autonomy and Embeddedness—and the corporate debt choice of either bank or bond financing. The authors derive their hypotheses from a slight modification and re-interpretation of the Chemmanur and Fulghieri (1994) approach of “relationship lending.” Referring to the importance of specific human capital investments and individuals' future orientation, they show that firms in autonomy cultures tend toward bank finance, whereas firms in embeddedness cultures show a preference for financing by issuing bonds. In a cross-country analysis with 71 countries, the authors find empirical evidence for their established hypotheses.

2020 ◽  
Vol 12 (1) ◽  
pp. 125-155 ◽  
Author(s):  
Michael Waldman ◽  
Ori Zax

In a world characterized by asymmetric learning, promotions can serve as signals of worker ability, and this, in turn, can result in inefficient promotion decisions. If the labor market is competitive, the result will be practices that reduce this distortion. We explore how this logic affects human capital investment decisions. We show that, if commitment is possible, investments will be biased toward the accumulation of firm-specific human capital. We also consider what happens when commitment is not possible and show a number of results including that, if investment choices are not publicly observable, choices are frequently efficient. (JEL D82, J24, J31, M12, M51)


2006 ◽  
Vol 96 (3) ◽  
pp. 811-831 ◽  
Author(s):  
Etienne Wasmer

Human capital investments are not independent of the aggregate state of labor markets: frictions and slackness of the labor market raise the returns to specific human capital investments relative to general investments. We build a macroeconomic model with two pure strategy regimes. In the pure G-regime, workers invest in general skills. This occurs when they face high turnover labor markets and in the absence of employment protection. The pure 5-regime in which workers invest in skills specific to their job appears when employment protection is high enough. Implications for a characterization of Europe-United States differences are provided in conclusion.


2021 ◽  
Vol 12 ◽  
Author(s):  
Dana K. Donohue ◽  
Juan Bornman

The purpose of this research was to explore the relationship between university students’ perceptions of the overall quality of instruction (PQI) they experienced since COVID-19 and their academic well-being. This relationship was examined in the context of a moderated moderation with students’ household income and the cultural value of power distance (PD), which measures the extent to which less powerful members of an organization expect and accept that power is unequally distributed. Two countries with societally moderate levels of PD (South Africa and the United States) were assessed. Moderated moderations between PQI, income, and PD were found for the academic well-being of students from both the United States and South Africa. The patterns of interactions were in some ways similar and other ways different, highlighting the complexity of how students may react to potential stressors in their academic environment. Potential explanations and implications of these results are discussed.


Author(s):  
M. Anastacia Mamabolo ◽  
Myres Kerrin ◽  
Tumo Kele

<strong>Background:</strong> Entrepreneurs need entrepreneurial skills to run their businesses. Skills can come from various sources, and the usage of the sources of skills can vary according to the different entrepreneurship phases.<p><strong>Aim:</strong> Adopting a human capital theory perspective, this study determined the specific human capital investments as sources of skills needed by entrepreneurs across the different entrepreneurship phases. The sources of skills included work experience, formal education, entrepreneurship education and entrepreneurship experience.</p><p><strong>Setting:</strong> Entrepreneurs at the different entrepreneurship phases which are nascent (entrepreneurs with ventures less than 3 months in existence), new business (entrepreneurs with ventures with more than 3 months but less than 3.5 years in existence) and established business (entrepreneurs with ventures more than 3.5 years in existence).</p><p><strong>Method:</strong> The study employed a survey research design. An online questionnaire was used to collect the data.</p><p><strong>Results:</strong> The results show that the sources of skills are used differently across the entrepreneurship phases. As entrepreneurs start businesses, in the nascent phase, the use of human capital investments (especially formal education) as a source of skills declines, thus creating a need to acquire more entrepreneurship-specific investments. In addition to acquiring skills from human capital investments, entrepreneurs learn skills from people in their social networks and self-taught skills which are used differently across the different entrepreneurship phases.</p><p><strong>Conclusion:</strong> The findings indicate that the human capital investments are dynamic and change over time as the entrepreneurship phases unfold. Because there are different sources of skills for each entrepreneurship phase, entrepreneurs need to be treated according to their phases.</p>


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jason Jabbari ◽  
Stephen Roll ◽  
Sam Bufe ◽  
Yung Chun

PurposeIn this paper, the authors explore the relationship that slack resources and technology-mediated human capital investments can have on individuals’ entrepreneurial intentions. Focusing on human capital investments that individuals make through education and work, the authors analyze the relationship among formal online learning opportunities, informal skill development in the gig economy and entrepreneurial intentions.Design/methodology/approach Leveraging a novel dataset that merges administrative tax data with a survey of over 8,528 low- and moderate income (LMI) households, this study uses machine learning and propensity score weighting to examine the likelihood that individuals who make these technology-mediated human capital investments will have increased odds of entrepreneurial intentions when compared to similar individuals who do not make these investments.Findings The authors find that both partaking in online learning and working in the gig economy are significantly associated with increased odds of entrepreneurial intentions. Furthermore, through a variety of robustness and mechanism checks, the authors find that technology-mediation is an important factor in these relationships and that informal skill development and career preparation is one way in which gig employment influences entrepreneurial intentions.Research limitations/implications As the study’s data come from a cross-sectional survey, the authors cannot make causal inferences about the relationship between online learning, gig employment and entrepreneurial intentions. Thus, future research should explore sources of longitudinal data.Practical implications This study has practical implication for individuals and policymakers that seek to increase entrepreneurship among LMI households.Originality/value Despite a wealth of research on the relationships among slack resources, technology and innovation at the firm level, there is little of this research at the individual level – especially among LMI individuals. The authors begin to fill this important gap.


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