Commuting and innovation: Are closer inventors more productive?

Xiao, Hongyu; Wu, Andy; Kim, Jaeho

doi:10.1016/j.jue.2020.103300

Cited by 26 publications

(8 citation statements)

References 63 publications

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“…We confirm the former assumption by our IPO heterogeneity analysis. The latter assumption is supported by existing studies (e.g., Frenkel et al., 2013; Xiao et al., 2021) as we discuss in the Introduction.…”

Section: Methodssupporting

confidence: 84%

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Cash to spend: IPO wealth and house prices

Hartman‐Glaser

Thibodeau

Yoshida

2022

Real Estate Economics

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and UTS Business School for their valuable comments and suggestions. We thank the UCLA Ziman Center for Real Estate's Rosalinde and Arthur Gilbert Program in Real Estate, Finance and Urban Economics and the Penn State Institute for Real Estate Studies for generously funding our research. The data are provided by Zillow through the Zillow Transaction and Assessment Dataset (ZTRAX). More information on accessing the data can be found at http://www.zillow.com/ztrax. The results and opinions are our own and do not reflect the position of Zillow Group.

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Section: Methodssupporting

confidence: 84%

“…(2013) and Xiao et al. (2021) find that knowledge‐workers and inventors strongly prefer a short commuting distance. Also, the 2018 American Community Survey shows that the mean travel time to work is shorter for Mountain View, Palo Alto, Los Altos than the California average.…”

Section: Introductionmentioning

confidence: 98%

Cash to spend: IPO wealth and house prices

Hartman‐Glaser

Thibodeau

Yoshida

2022

Real Estate Economics

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“…Other studies focused on the relationship between geographic distance and innovation (Ma and Liu, 2019). Xiao et al (2020) estimated the causal effect of commuting distance on inventor productivity and found a signifi cant negative effect of commuting distance on inventor productivity; that is, every 10km increase in distance Qiao Wang et al / 60-99, Vol. 30, No.…”

Section: Literature Reviewmentioning

confidence: 99%

Subways and the Diffusion of Knowledge: Evidence from China

Wang

Liu

Zhang

et al. 2022

China and World Economy

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This paper aims to examine the role of the subway network, a typical form of transportation within urban areas, on innovation and knowledge diffusion. Applying the difference‐in‐differences strategy and spatial analysis, we used 1,332 newly opened stations in China from 2000 to 2013 as a quasi‐experiment to identify the local effects of subway expansions. Results suggested that by reducing communication costs and increasing opportunities for interaction, subway construction would bring growth at the district level. Knowledge dissemination would become more active after new stations open. Micro‐level results showed that these positive impacts were highly localized; that is, only those firms located within 1km around stations benefited from the new subway. Moreover, new subways facilitated the flow of knowledge from station to station and assisted firms in acquiring knowledge from more distant technology clusters conveniently.

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“…Another key thought about commuting is the positive impact of commuting flows on creating new workplaces (Russo et al, 2011;Xiao et al, 2021). First, vast commuting flows can make it easy to find appropriate candidates for job vacancies to be filled.…”

Section: Introductionmentioning

confidence: 99%

Commuting, Transportation Flows and the Labor Market in Almaty

Kabdesov

Amagoh²

2022

EJEBS

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Commuting nowadays is a worldwide trend. Due to the urban development, cities become larger creating agglomerations. It leads to broader human mobility. One of the other key thoughts about commuting is the positive impact of commuting flows on creating new workplaces (Russo et. al., 2011; Xiao et. al, 2021). First, vast commuting flows can make it easy to find appropriate candidates for job vacancies to be filled. Secondly, there is a demand for different goods and services in receiving areas created by commuters. Therefore, by means of local demand, new workplaces can be produced. The aim of the study is to analyze the relationship between commuting flows and the creation of new workplaces in Kazakhstan. Both qualitative and quantitative methods are used in the paper. Secondary research is used to provide and compare existing models of commuting impact on the workplaces. Data on the workplaces created in Kazakhstan is collected via the Bureau of National Statistics of the RK. Descriptive statistical methods serve as a visual representation of the collected data. Finally, inferential statistics are used to find the relations between the commuting flows and the creation of new workplaces in Kazakhstan. This study can contribute to existing studies on commuting, especially to studies on urban development in Almaty since commuting is closely related to the urban topic.

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Commuting and innovation: Are closer inventors more productive?

Cited by 26 publications

References 63 publications

Cash to spend: IPO wealth and house prices

Cash to spend: IPO wealth and house prices

Subways and the Diffusion of Knowledge: Evidence from China

Commuting, Transportation Flows and the Labor Market in Almaty

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