About this table

Description	15-item entrepreneurial-ecosystem quality ratings (skills, support, networking, culture, corruption, etc.), 1-7 scale, individual survey respondents across cities in 10 countries
Reference	Audretsch DB, Belitski M, Cherkas N (2021) Entrepreneurial ecosystems in cities: The role of institutions. PLoS ONE.
DOI	10.1371/journal.pone.0247609
Licence	CC BY 4.0
Source data	https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0247609.s002

Size and shape

Responses	26,301
Respondents	1,849
Items	15
Response categories	7
Responses per respondent	14.224
Responses per item	1753.400
Density	0.948
Longitudinal	FALSE

Classification

sample	Workplace
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	Entrepreneurial ecosystem survey (Audretsch, Belitski & Cherkas 2021)
Mean words per item	15.400
Mean characters per item	105.200
Mean characters per response	4.286
Flesch-Kincaid grade level	15.013

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, audretsch_2021_entrepreneurial_ecosystems.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`age`
`cov_city`	Covariate	`city`
`cov_country`	Covariate	`country`
`cov_gender`	Covariate	`female`
`cov_higheducation`	Covariate	`higheducation`
`cov_occupation`	Covariate	`occupation`

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("audretsch_2021_entrepreneurial_ecosystems")

# Python
pip install irw

import irw
df = irw.fetch("audretsch_2021_entrepreneurial_ecosystems")

How to cite

@article{Audretsch_2021, title={Entrepreneurial ecosystems in cities: The role of institutions}, volume={16}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0247609}, DOI={10.1371/journal.pone.0247609}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Audretsch, David Bruce and Belitski, Maksim and Cherkas, Nataliia}, editor={Rozylowicz, Laurentiu}, year={2021}, month=Mar, pages={e0247609} }

Version and provenance

IRW version	v569
Redivis dataset	item_response_warehouse_4 v13.0
Redivis dataset DOI	10.57761/w8zx-td92
Manifest pin for this IRW version	v13.0
Metadata source	irw_meta v43.0