Second in a series of six sessions on cluster identification and prioritization. Content produced by Excel Regional Solutions for the Center for Cluster Development. This session discusses the primary quantitative tool to ID clusters: location quotients.
Agenda
- Calculating and interpreting Location Quotients
- Data sources for LQs
- Problems with relying on LQ alone for cluster IDs
Recording & Slides
The video has a password to protect the privacy of participant discussion. Contact info [at] excelregions.com if you believe you should have access to the video.
Slides for the session can be downloaded here [pdf].
Feedback
Please provide your feedback on this session at: https://forms.gle/9dmSZ3QH3MnCSsjk8
We will use this information to improve future offerings of the course and to adjust later sessions to netter meet this cohort’s needs.
For Next Session
- Brainstorm potential clusters in your region that are outside of standard NAICS codes
- List your region’s key stakeholders for the economy
- Key businesses & executives
- Chambers / trade associations
- Policymakers & regulators
- Funders & investors
- Economic development, workforce organizations
Background
- Pominova, M., Gabe, T., & Crawley, A. (2022). The stability of location quotients. The Review of Regional Studies, 52, 296-320. https://rrs.scholasticahq.com/article/66197-the-stability-of-location-quotients.pdf.
- Capturing the Next Innovation Economy, Brookings Institution, 2018. https://www.brookings.edu/wp-content/uploads/2017/09/pittsburgh_es.pdf.
- Detroit Regional Partnership, Exploring the Mobility & Automotive Industry Cluster, https://www.detroitregionalpartnership.com/mobility-auto-industrycluster/.