Shiftβshare analysis is a classic tool in regional geography that decomposes employment change into three interpretable components: the part attributable to overall national growth, the part due to the specific industry mix of the region, and the residual regional shift that reflects local competitive advantage or disadvantage.
The method starts with a baseβperiod employment figure for the region (Eβ°) and projects what the employment would have been if the region had followed the national growth rate (gβ). The difference between this projection and the actual current employment (E) is then split into an industryβmix effect, based on the regionβs share of a fasterβgrowing industry (gα΅’), and a regional shift effect that captures all other local factors.
By quantifying these components, planners can identify whether a regionβs performance is driven mainly by broader economic trends, its industrial structure, or unique local dynamics, informing targeted policy interventions.
What is shift-share analysis?
How does the shift-share analysis start?
What are the three components of shift-share analysis?
Why is shift-share analysis useful in geography?
Can this tool be used for other types of data besides employment?
Results are for informational purposes only and do not constitute professional advice.
