Exploring Digital Technology Industry Clusters Using Administrative and Frontier Data

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Original language	English
Title of host publication	Big Data for Regional Science
Editors	Laurie Schintler, Zhenhua Chen
Place of Publication	Oxford
Publisher	Routledge
ISBN (Electronic)	9781315270838
ISBN (Print)	9781138282186
Publication status	Published - 15 Aug 2017

Name	Routledge Advances in Regional Economics, Science and Policy

Cite this

@inbook{a828d4bc28a04e96b53d4139987655d3,

title = "Exploring Digital Technology Industry Clusters Using Administrative and Frontier Data",

author = "Max Nathan and Anna Rosso",

year = "2017",

month = aug,

day = "15",

language = "English",

isbn = "9781138282186",

series = "Routledge Advances in Regional Economics, Science and Policy",

publisher = "Routledge",

editor = "Laurie Schintler and Zhenhua Chen",

booktitle = "Big Data for Regional Science",

}

Exploring Digital Technology Industry Clusters Using Administrative and Frontier Data. / Nathan, Max; Rosso, Anna.
Big Data for Regional Science. ed. / Laurie Schintler; Zhenhua Chen. Oxford: Routledge, 2017. (Routledge Advances in Regional Economics, Science and Policy).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Exploring Digital Technology Industry Clusters Using Administrative and Frontier Data

AU - Nathan, Max

AU - Rosso, Anna

PY - 2017/8/15

Y1 - 2017/8/15

UR - https://www.routledge.com/Big-Data-for-Regional-Science/Schintler-Chen/p/book/9781138282186

M3 - Chapter (peer-reviewed)

SN - 9781138282186

T3 - Routledge Advances in Regional Economics, Science and Policy

BT - Big Data for Regional Science

A2 - Schintler, Laurie

A2 - Chen, Zhenhua

PB - Routledge

CY - Oxford

ER -