
Urban Economics Consultant
We are often asked by local governments and regional bodies how to understand the competitive and non-competitive industries of a region. In addition to using Location Quotients (read our previous blog on using LQs) to understand the dominance of different industries, shift-share analysis can provide a more detailed understanding of what’s driving competitive changes of industries in a region.
To make this analysis easier for economic development practitioners, a shift-share analysis tool is now included within economy.id.
Related insights:
Using shift-share analysis
While Location Quotients help identify the industries increasing or declining in importance over time, it cannot identify whether this is due to local factors or macro trends. This is where shift share analysis comes in. Shift-share analysis is a technique used to break the growth or decline in an industry into three components to help understand what is driving the change.
The three change components of shift-share analysis are commonly known as:
To understand what the different components mean we can look at the shift share analysis of the Coffs Harbour economy between 2009/10 and 2014/15. If we consider employment in Construction, we would have expected employment to have increased by 240 jobs. This is a combination of +219 jobs because NSW’s economy grew overall during this period, and +21 jobs because Construction was growing faster than the state average growth rate. However, Construction employment in Coffs Harbour actually increased by 1,721 jobs. Therefore, we assume that some regional factors led to the sector growing much greater than expected during the period, by approximately 1,482 jobs (1,721 – 240).
Looking purely at the regional competitive effect, we can see that growth in construction and agriculture, forestry and fishing were well above trend. Increases in healthcare, hospitality, manufacturing and logistics based employment were also greater than what would’ve been expected given macro trends. In contrast, professional services, other services and retail experienced job losses in this period which went against state trends. Some sectors, like Rental, Hiring and Real Estate Services, experienced employment increases but growth was lower than that experienced at a state level (therefore resulting in a negative regional competitive effect).
Digging deeper – local knowledge
There is no substitute for local area knowledge. Location quotient and shift-share analysis can highlight areas of competitive advantage/disadvantage or industries with above trend growth/decline but it takes extra research, or on the ground experience, to interpret the results. For example, people living in Coffs Harbour would know that the Pacific Highway upgrades have driven a large boost in construction employment during this period. However, the analysis can sometimes spring surprises or even just illustrate just how weak or strong certain sectors are compared to benchmark regions. It can also reveal whether some sectors are in danger of losing their competitive position.
Check out the shift-share analysis tool under the Economic tools menu in economy.id.
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