Launching with a parachute: The gig economy and new business formation

Barrios, John Manuel; Hochberg, Yael V.; Yi, Hanyi

doi:10.1016/j.jfineco.2021.12.011

Cited by 45 publications

(4 citation statements)

References 46 publications

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Section: Literature Reviewmentioning

confidence: 99%

“…With the rapid development of the sharing economy, over the past few years, research on the social and economic impacts of the sharing economy-including the latter's effects on new car purchases (Guo et al, 2018(Guo et al, , 2019, local entrepreneurial activity (Barrios et al, 2022;Burtch et al, 2018), house prices (Barron et al, 2021;Chu et al, 2021;Ma et al, 2022), crime and personal bankruptcy rate (Nian et al, 2021;Park et al, 2021), especially in relation to incumbents in traditional markets (Berger et al, 2018;Chang and Sokol, 2022;Li and Srinivasan, 2019;Zervas et al, 2017) -has grown significantly. For example, Zervas et al (2017) empirically examined Airbnb's causal impact on the Texas hotel industry, showing that the Airbnb entry reduces hotel revenue.…”

Section: Introductionmentioning

confidence: 99%

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The complementary effect of ride-sharing on public transit: evidence from a natural experiment

Xu,

Huang,

Zhang

et al. 2023

IMDS

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PurposeIdentifying the complementary effects of ride-sharing on public transit is critical to understanding the potential value of growing partnerships between public transit agencies and ride-sharing platforms. The purpose of this paper is to investigate whether and how ride-sharing services complement public transit.Design/methodology/approachTaking advantage of a natural experiment whereby subway Line 2 opened after the entry of ride-sharing services in Xiamen, this study uses a difference-in-differences approach to identify the complementary effects of ride-sharing on public transit based on a proprietary fine-grained trip-level data set from a large ride-sharing platform.FindingsThis study obtained the encouraging finding that ride-sharing has a significant complementary effect on the subway, as the number of ride-sharing pickups and drop-offs at subway stations increased by 130% and 117.9%, respectively, after the subway opening. Moreover, mechanism analysis shows that the complementary effect of ride-sharing services is stronger when connection distance is short (i.e. under 6 km) and when the transportation availability is limited (i.e. at night or in the areas with low transit supply and low population density).Practical implicationsThe findings provide guidelines for promoting cooperation between public transit agencies and ride-sharing platforms to build an efficient and sustainable urban transport system.Originality/valueThis study is the first to examine the complementary effect of ride-sharing services on public transit via unique fine-grained ride-sharing trips data, and further reveal the underlying mechanism behind this effect.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The complementary effect of ride-sharing on public transit: evidence from a natural experiment

Xu,

Huang,

Zhang

et al. 2023

IMDS

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“…We expect that 𝛽 is positive if household heads demonstrating leadership in adolescence are positively associated with the probability of the households participating in entrepreneurial activities. Table 2 presents the estimated coefficients of model (1). In Column (1), we only include year dummies as the control variables.…”

Section: 1mentioning

confidence: 99%

Leadership and Entrepreneurship: Evidence from a Chinese Household Survey

Jiang,

Xiang

2023

Journal of Applied Finance &Amp; Banking

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This study investigates the role of leadership in entrepreneurship. Using data from a representative household survey in China, we find that people who demonstrate leadership in their adolescence are more likely to become entrepreneurs. This finding is robust to controlling various sets of control variables and various forms of fixed effects. Better venture performance, rather than more risk seeking, seems to be a potential mechanism through which leadership is related to entrepreneurship. JEL classification numbers: L26, M13. Keywords: Leadership, Entrepreneurship, Venture Performance.

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“…The sharing economy provides less demanding alternatives to traditional entrepreneurial ventures by allowing individuals to become self-employed. Additionally, the experience of working in the sharing economy could serve as a transitional step toward establishing a new independent business, acting as a catalyst for entrepreneurial aspirations (Barrios et al, 2022;Frenken & Schor, 2017).…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

The impact of taxi drivers’ characteristics on the propensity to do business: Case study from a sharing economy

Rózsa

Zhidebekkyzy

Bilan

et al. 2023

Innovative Marketing

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This paper aims to quantify the impact of selected demographic, financial, and economic factors on the propensity to do business in the taxi sector of the sharing economy. The sample comprised 375 taxi drivers from the Czech Republic and Slovak Republic. Data were collected using the query method via a questionnaire in April 2022. The structure of the respondents is divided into shared taxi service providers (N = 294) and traditional taxi service providers (N = 69). The study selected 14 factors: demographic (4), financial (7), and economic (3). The SEM approach was applied to evaluate the hypotheses. Shared taxi providers have a stronger propensity to do business than traditional taxi drivers. Demographic characteristics of a traditional taxi driver are the most significant factors with a strong influence on the propensity to do business (βS = 0.525 &gt; βT = 0.425). On the other hand, the financial and economic characteristics of shared taxi drivers strongly influence the propensity to do business (βT = 0.565 &gt; βS = 0.212). The characteristics of the enterprise are on the verge of significance in relation to the tendency to do business with shared taxi drivers, as opposed to traditional taxi drivers. For traditional taxi drivers, there is a strong influence of the characteristics of the enterprise on the propensity to do business (βT = 0.476 &gt; βS = 0.026). This study contributes to understanding how participating in sharing economy may stimulate the propensity to do business.

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Launching with a parachute: The gig economy and new business formation

Cited by 45 publications

References 46 publications

The complementary effect of ride-sharing on public transit: evidence from a natural experiment

The complementary effect of ride-sharing on public transit: evidence from a natural experiment

Leadership and Entrepreneurship: Evidence from a Chinese Household Survey

The impact of taxi drivers’ characteristics on the propensity to do business: Case study from a sharing economy

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