Regional Innovation and Diversity: Effects of Cultural Diversity, Milieu Affiliation and Qualification Levels on Regional Patent Outputs

Gerd Grözinger; Marlene Langholz-Kaiser; Doreen Richter

doi:10.5771/0935-9915-2017-2-149

Contents
- Chapter Expand | CollapseAuthorsPage
- 147–148 Titelei/Inhaltsverzeichnis 147–148
- 149–174 Regional Innovation and Diversity: Effects of Cultural Diversity, Milieu Affiliation and Qualification Levels on Regional Patent Outputs Gerd Grözinger, Marlene Langholz-Kaiser, Doreen Richter Gerd Grözinger, Marlene Langholz-Kaiser, Doreen Richter 149–174
- 175–203 Expanding the Job Demands-Resources Model to Classify Innovation-Predicting Working Conditions Mareike Adler, Anna K. Koch Mareike Adler, Anna K. Koch 175–203
- 204–226 Leading Resistance to Doing Business as Usual Stefan Gröschl, Patricia Gabaldon Stefan Gröschl, Patricia Gabaldon 204–226
- 227–254 Absenteeism as a Reaction to Harmful Behavior in the Workplace from a Stress Theory Point of View Albert Martin, Wenzel Matiaske Albert Martin, Wenzel Matiaske 227–254
- 255–255 Introduction: Echoes of an Era – A Century of Organisational Studies Wenzel Matiaske Wenzel Matiaske 255–255
- 256–274 100 years of Henri Fayol Søren Voxted Søren Voxted 256–274
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mrev management revue , page 149 - 174

Regional Innovation and Diversity: Effects of Cultural Diversity, Milieu Affiliation and Qualification Levels on Regional Patent Outputs

Autoren

Gerd Grözinger Marlene Langholz-Kaiser Doreen Richter

DOI
- doi.org/10.5771/0935-9915-2017-2-149
- ISSN: 0935-9915
- ISSN online: 1861-9908
Abstract

This paper explores the relationship between regional labour market characteristics and innovation outcomes in the Federal Republic of Germany. In particular, we use regressions to determine how the composition of the regional population - in terms of their human capital endowments, their cultural diversity and their milieu affiliation - influences patent activities. We also test different spatial units in our models to establish which regional level is more appropriate for our analysis.
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