Cross-country evidence on start-up dynamics:
The report provides a description of start-up dynamics exploiting the richness of the recently collected DynEmp v.2 database. The contribution of new firms in terms of new jobs to the existing workforce can be expressed as a combination of four different elements: the start-up rate; the average size...
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | , |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2015
|
Schriftenreihe: | OECD Science, Technology and Industry Working Papers
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | The report provides a description of start-up dynamics exploiting the richness of the recently collected DynEmp v.2 database. The contribution of new firms in terms of new jobs to the existing workforce can be expressed as a combination of four different elements: the start-up rate; the average size of firms at point of entry; the survival rate; and the average growth rate of survivors. This decomposition shows that the four elements interplay in very different ways, even across economies with similar aggregate start-up contributions. The most homogenous component across countries is the survival rate, which is equal to just above 60% after three years from entry, to about 50% after five years, and to just over 40% after seven years. Furthermore, in most countries the probability of exiting is highest at the age of two, and decreases (linearly) beyond that age. When looking at employment growth of surviving businesses, it is found that the large majority of surviving micro start-ups do not grow; however, the tiny proportion of small start-ups which do grow creates a disproportionate amount of jobs |
Beschreibung: | 1 Online-Ressource (59 Seiten) 21 x 29.7cm |
DOI: | 10.1787/5jrxtkb9mxtb-en |
Internformat
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV047931375 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220413s2015 xx o|||| 00||| eng d | ||
024 | 7 | |a 10.1787/5jrxtkb9mxtb-en |2 doi | |
035 | |a (ZDB-13-SOC)06132163X | ||
035 | |a (OCoLC)1312695101 | ||
035 | |a (DE-599)BVBBV047931375 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-384 |a DE-91 |a DE-473 |a DE-824 |a DE-29 |a DE-739 |a DE-355 |a DE-20 |a DE-1028 |a DE-1049 |a DE-188 |a DE-521 |a DE-861 |a DE-898 |a DE-92 |a DE-573 |a DE-19 | ||
100 | 1 | |a Calvino, Flavio |e Verfasser |4 aut | |
245 | 1 | 0 | |a Cross-country evidence on start-up dynamics |c Flavio Calvino, Chiara Criscuolo and Carlo Menon |
264 | 1 | |a Paris |b OECD Publishing |c 2015 | |
300 | |a 1 Online-Ressource (59 Seiten) |c 21 x 29.7cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a OECD Science, Technology and Industry Working Papers | |
520 | |a The report provides a description of start-up dynamics exploiting the richness of the recently collected DynEmp v.2 database. The contribution of new firms in terms of new jobs to the existing workforce can be expressed as a combination of four different elements: the start-up rate; the average size of firms at point of entry; the survival rate; and the average growth rate of survivors. This decomposition shows that the four elements interplay in very different ways, even across economies with similar aggregate start-up contributions. The most homogenous component across countries is the survival rate, which is equal to just above 60% after three years from entry, to about 50% after five years, and to just over 40% after seven years. Furthermore, in most countries the probability of exiting is highest at the age of two, and decreases (linearly) beyond that age. When looking at employment growth of surviving businesses, it is found that the large majority of surviving micro start-ups do not grow; however, the tiny proportion of small start-ups which do grow creates a disproportionate amount of jobs | ||
650 | 4 | |a Science and Technology | |
650 | 4 | |a Industry and Services | |
700 | 1 | |a Criscuolo, Chiara |4 ctb | |
700 | 1 | |a Menon, Carlo |4 ctb | |
856 | 4 | 0 | |u https://doi.org/10.1787/5jrxtkb9mxtb-en |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-13-SOC | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033312868 |
Datensatz im Suchindex
_version_ | 1818805996160548864 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Calvino, Flavio |
author2 | Criscuolo, Chiara Menon, Carlo |
author2_role | ctb ctb |
author2_variant | c c cc c m cm |
author_facet | Calvino, Flavio Criscuolo, Chiara Menon, Carlo |
author_role | aut |
author_sort | Calvino, Flavio |
author_variant | f c fc |
building | Verbundindex |
bvnumber | BV047931375 |
collection | ZDB-13-SOC |
ctrlnum | (ZDB-13-SOC)06132163X (OCoLC)1312695101 (DE-599)BVBBV047931375 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1787/5jrxtkb9mxtb-en |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV047931375</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220413s2015 xx o|||| 00||| eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1787/5jrxtkb9mxtb-en</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-13-SOC)06132163X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1312695101</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047931375</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1028</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-19</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Calvino, Flavio</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Cross-country evidence on start-up dynamics</subfield><subfield code="c">Flavio Calvino, Chiara Criscuolo and Carlo Menon</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Paris</subfield><subfield code="b">OECD Publishing</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (59 Seiten)</subfield><subfield code="c">21 x 29.7cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">OECD Science, Technology and Industry Working Papers</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The report provides a description of start-up dynamics exploiting the richness of the recently collected DynEmp v.2 database. The contribution of new firms in terms of new jobs to the existing workforce can be expressed as a combination of four different elements: the start-up rate; the average size of firms at point of entry; the survival rate; and the average growth rate of survivors. This decomposition shows that the four elements interplay in very different ways, even across economies with similar aggregate start-up contributions. The most homogenous component across countries is the survival rate, which is equal to just above 60% after three years from entry, to about 50% after five years, and to just over 40% after seven years. Furthermore, in most countries the probability of exiting is highest at the age of two, and decreases (linearly) beyond that age. When looking at employment growth of surviving businesses, it is found that the large majority of surviving micro start-ups do not grow; however, the tiny proportion of small start-ups which do grow creates a disproportionate amount of jobs</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Science and Technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industry and Services</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Criscuolo, Chiara</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Menon, Carlo</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1787/5jrxtkb9mxtb-en</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033312868</subfield></datafield></record></collection> |
id | DE-604.BV047931375 |
illustrated | Not Illustrated |
index_date | 2024-07-03T19:34:57Z |
indexdate | 2024-12-18T19:02:45Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033312868 |
oclc_num | 1312695101 |
open_access_boolean | 1 |
owner | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
owner_facet | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
physical | 1 Online-Ressource (59 Seiten) 21 x 29.7cm |
psigel | ZDB-13-SOC |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | OECD Publishing |
record_format | marc |
series2 | OECD Science, Technology and Industry Working Papers |
spelling | Calvino, Flavio Verfasser aut Cross-country evidence on start-up dynamics Flavio Calvino, Chiara Criscuolo and Carlo Menon Paris OECD Publishing 2015 1 Online-Ressource (59 Seiten) 21 x 29.7cm txt rdacontent c rdamedia cr rdacarrier OECD Science, Technology and Industry Working Papers The report provides a description of start-up dynamics exploiting the richness of the recently collected DynEmp v.2 database. The contribution of new firms in terms of new jobs to the existing workforce can be expressed as a combination of four different elements: the start-up rate; the average size of firms at point of entry; the survival rate; and the average growth rate of survivors. This decomposition shows that the four elements interplay in very different ways, even across economies with similar aggregate start-up contributions. The most homogenous component across countries is the survival rate, which is equal to just above 60% after three years from entry, to about 50% after five years, and to just over 40% after seven years. Furthermore, in most countries the probability of exiting is highest at the age of two, and decreases (linearly) beyond that age. When looking at employment growth of surviving businesses, it is found that the large majority of surviving micro start-ups do not grow; however, the tiny proportion of small start-ups which do grow creates a disproportionate amount of jobs Science and Technology Industry and Services Criscuolo, Chiara ctb Menon, Carlo ctb https://doi.org/10.1787/5jrxtkb9mxtb-en Verlag kostenfrei Volltext |
spellingShingle | Calvino, Flavio Cross-country evidence on start-up dynamics Science and Technology Industry and Services |
title | Cross-country evidence on start-up dynamics |
title_auth | Cross-country evidence on start-up dynamics |
title_exact_search | Cross-country evidence on start-up dynamics |
title_exact_search_txtP | Cross-country evidence on start-up dynamics |
title_full | Cross-country evidence on start-up dynamics Flavio Calvino, Chiara Criscuolo and Carlo Menon |
title_fullStr | Cross-country evidence on start-up dynamics Flavio Calvino, Chiara Criscuolo and Carlo Menon |
title_full_unstemmed | Cross-country evidence on start-up dynamics Flavio Calvino, Chiara Criscuolo and Carlo Menon |
title_short | Cross-country evidence on start-up dynamics |
title_sort | cross country evidence on start up dynamics |
topic | Science and Technology Industry and Services |
topic_facet | Science and Technology Industry and Services |
url | https://doi.org/10.1787/5jrxtkb9mxtb-en |
work_keys_str_mv | AT calvinoflavio crosscountryevidenceonstartupdynamics AT criscuolochiara crosscountryevidenceonstartupdynamics AT menoncarlo crosscountryevidenceonstartupdynamics |