Gauger, Felix ; Strych, Jan-Oliver ; Pfnür, Andreas (2021)
Linking real estate data with entrepreneurial ecosystems: Coworking spaces, funding and founding activity of start-ups.
In: Data in Brief, 2021, 37
doi: 10.26083/tuprints-00019432
Artikel, Zweitveröffentlichung, Verlagsversion
 | Es ist eine neuere Version dieses Eintrags verfügbar. |
Kurzbeschreibung (Abstract)
This data article describes a panel dataset that combines flexible office space market data with entrepreneurial data, such as founding and funding of ventures in 47 European cities. One adaption of new ways of working are coworking spaces. They are shared working environments that offer office space and intangible resources, such as knowledge sharing, collaboration and networking. Access to flexible office space for self-employed, start-ups, and corporates is a key resource for businesses. Covid-19 has shown that space provision is becoming more flexible and ventures increasingly use scalable space instead of long-term lease agreements for office space or than owning it. Deskmag counts 18,700 coworking spaces worldwide in the year of 2018 with 1.65 million coworkers and high future growth expectations after COVID-19 [1].
Data were collected through two sources. Data about coworking spaces were collected through a web scraper crawling for coworking spaces within a city as of December 31, 2018. Those data were manually enriched by real estate and economic variables, such as the office high prime rent and office market size. Data about the funding and founding of ventures were obtained through using the database Crunchbase, including all start-ups in a city with their type of funding (including: seed, venture capital, private equity, debt convertibles and others) and their financing rounds. The Crunchbase database lists mostly young firms, commonly called start-ups and small medium enterprises (SME), and their financing with external funding. It includes firms that have needed or might need funding in the near future, or have already got funding. Hence, it is possible to relate spatial clusters with entrepreneurial activity and analyze for example the influence of (flexible) office markets on founding activity.
This dataset enables researchers and practitioners to further explore important questions regarding the nexus between the real estate industry, entrepreneurship behavior, start-ups and regional clusters. Due to the scarcity of publicly available quality flexible office space market data, the dataset detailed in this article may play a relevant role to be ready to be used by researchers and practitioners. Funding data can be used for regional analysis, growth development, or any other economic issues.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Gauger, Felix ; Strych, Jan-Oliver ; Pfnür, Andreas |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Linking real estate data with entrepreneurial ecosystems: Coworking spaces, funding and founding activity of start-ups |
| Sprache: | Englisch |
| Publikationsjahr: | 2021 |
| Publikationsdatum der Erstveröffentlichung: | 2021 |
| Verlag: | Elsevier |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Data in Brief |
| Jahrgang/Volume einer Zeitschrift: | 37 |
| Kollation: | 6 Seiten |
| DOI: | 10.26083/tuprints-00019432 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/19432 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung aus gefördertem Golden Open Access |
| Kurzbeschreibung (Abstract): | This data article describes a panel dataset that combines flexible office space market data with entrepreneurial data, such as founding and funding of ventures in 47 European cities. One adaption of new ways of working are coworking spaces. They are shared working environments that offer office space and intangible resources, such as knowledge sharing, collaboration and networking. Access to flexible office space for self-employed, start-ups, and corporates is a key resource for businesses. Covid-19 has shown that space provision is becoming more flexible and ventures increasingly use scalable space instead of long-term lease agreements for office space or than owning it. Deskmag counts 18,700 coworking spaces worldwide in the year of 2018 with 1.65 million coworkers and high future growth expectations after COVID-19 [1]. Data were collected through two sources. Data about coworking spaces were collected through a web scraper crawling for coworking spaces within a city as of December 31, 2018. Those data were manually enriched by real estate and economic variables, such as the office high prime rent and office market size. Data about the funding and founding of ventures were obtained through using the database Crunchbase, including all start-ups in a city with their type of funding (including: seed, venture capital, private equity, debt convertibles and others) and their financing rounds. The Crunchbase database lists mostly young firms, commonly called start-ups and small medium enterprises (SME), and their financing with external funding. It includes firms that have needed or might need funding in the near future, or have already got funding. Hence, it is possible to relate spatial clusters with entrepreneurial activity and analyze for example the influence of (flexible) office markets on founding activity. This dataset enables researchers and practitioners to further explore important questions regarding the nexus between the real estate industry, entrepreneurship behavior, start-ups and regional clusters. Due to the scarcity of publicly available quality flexible office space market data, the dataset detailed in this article may play a relevant role to be ready to be used by researchers and practitioners. Funding data can be used for regional analysis, growth development, or any other economic issues. |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-194323 |
| Zusätzliche Informationen: | Keywords: Coworking space; Office market; WeWork; Entrepreneurial clusters; Start-up activity; Funding rounds; Entrepreneurial activity; Regional entrepreneurial cluster; New work |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 300 Sozialwissenschaften > 330 Wirtschaft |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Immobilienwirtschaft und Baubetriebswirtschaftslehre |
| Hinterlegungsdatum: | 03 Sep 2021 12:26 |
| Letzte Änderung: | 13 Sep 2021 10:05 |
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| Suche nach Titel in: | TUfind oder in Google |
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