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Industry Clusters: Part of Indiana's Strategic Planning Toolkit
These have been tough economic times for Indiana and the Midwest. But Indiana has been through tough economic times before. In 1985, after a particularly severe recession, Gov. Orr and the Indiana General Assembly established an entity for charting Indiana’s economic future, the Indiana Economic Development Council (IEDC). Since then, the council has worked with communities throughout Indiana to develop and implement a series of economic development plans.
This year the IEDC, in partnership with the Indiana Department of Commerce, has embarked on a new phase of planning to help assess the Indiana economy. The process began in May and will continue through the end of this year, culminating in a roadmap for Indiana and its regions (see sidebar on the planning process).
Editor’s Note: The following is an excerpt from the preliminary state-level cluster analysis developed for the IEDC by Christine Nolan, area educator in Purdue University’s Cooperative Extension Service. This cluster analysis is only one of the many parts to the entire planning process.
Preliminary Identification of Indiana’s Clusters
Several studies have already taken place in Indiana, resulting in the early targeting of four clusters for further development: life sciences, 21st century logistics, advanced manufacturing and information technology.
The IEDC analysis (1) builds upon the previous definition of clusters and introduces a number of new clusters in an attempt to present regions with an expanded range of choices and knowledge regarding their comparative advantages.
Methods for Analyzing the Cluster Data
Location Quotients: Location quotients show where clusters and industry sectors in particular localities are more strongly represented than they are in the nation as a whole. (2) If a cluster’s location quotient is greater than one, it means the locality is more specialized in those industries than the nation and is likely producing for export as well as local consumption. Note that, in this context, the term “specialized” means more concentrated in a state or region than in the nation as a whole.
The dynamics of specialization are also measured by comparing year-to-year changes in the location quotients. The clusters are then sorted according to a method developed by the Boston Consulting Group to show which are more or less specialized than the nation and whether they are increasing or decreasing in their degree of specialization. This sorting process results in four categories of clusters:
- Stars: specialized, with increasing specialization
- Mature: specialized, with decreasing specialization
- Emerging: unspecialized, with increasing specialization
- Transforming: unspecialized, with decreasing specialization
In Figure 1, each industry cluster is located in one of these four quandrants. The vertical axis of the chart shows specialization (or concentration), while the horizontal axis indicates whether specialization is increasing or decreasing.Click for larger image
Different policy approaches are appropriate for the clusters according to which category they fall into. For example, “emerging” clusters and industries present targets of opportunity for future development, as they are currently increasing in strength and importance in the local economy, even if they are not yet specialized. “Emerging” clusters and industries will have different needs than those that are “stars” or “mature.” (Note: No “mature” industry clusters currently exist at the statewide level.)
Shift-Share Analysis: Location quotients do not give a full picture of how the composition of local employment differs from national patterns or explain how the performance of the local economy differs from that of the nation. Shift-share analysis, on the other hand, seeks to explain changes in an economy by decomposing actual changes that have occurred into three main sources:
- National Share: The influence of national growth or
decline on an industry or cluster. The change in national employment is applied
to the change in local employment in the industry or cluster.
- Industry Mix: The rate of growth in each industry at
the national level. As with the national component, the change in employment
by the industry overall is applied to the change in local employment in the
industry. A large, positive number in the industry mix (also known as industry
share) column tells us that a locality has the good fortune to possess a
favorable share of industries that are growing at the national level.
- Regional Shift: The national share and the industry share reveal the changes that would have occurred in the local economy if it corresponded exactly to national and industrial structure and trends. When these two shares are subtracted from the actual shift in employment, a residual change remains. This change, the “regional shift,” reveals the effects on local employment of factors that are special to Indiana. The regional shift (also known as regional share) effect tells us that certain industries enjoy advantages (or disadvantages in the case of declines) from the regional economy and from factors such as labor force skills, access to transportation, excellent supply chains and efficient service delivery.
This relationship is summarized:
Change of Employment in Industry – National Share – Industry Mix = Regional Shift.
In shift-share analysis, industries with the largest regional share effect on growth and a positive industry share are said to be the best targets for economic development efforts. The same holds true for industry clusters, but there are some additional considerations since the industries in a cluster often perform differently.
Advanced Manufacturing in Indiana
Between 1998 and 2003, Indiana lost 51,052 jobs in its advanced manufacturing cluster. This is not surprising since the manufacturing sector as a whole was hard-hit in the recent nationwide recession. Despite these losses, the advanced manufacturing cluster in Indiana increased in specialization compared to the nation. The reason for this is likely to be the even faster decrease in the cluster size at the national level. Indiana has a weak regional share advantage in advanced manufacturing.
Of the seven industry clusters in Indiana that were specialized (according to 2003 data), the degree of specialization was highest in advanced manufacturing, chemicals and advanced materials. The remaining clusters were only weakly concentrated in the state, although the advanced logistics and earth products clusters showed a strong rate of growth in employment between 1998 and 2003. Advanced logistics was the only specialized cluster in Indiana showing a competitive advantage in both industry mix and regional shift shares of growth.
Indiana’s “emerging” clusters in 2003 included arts and entertainment, environmental technology and educational services. Of these three, arts, entertainment, recreation and visitor industries had the strongest rate of growth in specialization between 1998 and 2003, while environmental technology had the strongest rate of employment growth. Both the arts and the environmental technology clusters had positive rates in the share of industry mix and regional shift, indicating a competitive advantage in these two clusters.
Five of the state’s clusters fell into the “transforming” category, meaning that they suffered decreases in both employment and specialization when compared to the United States. Decreases occurred in three clusters that support other business and industry: advanced business services, information technology, and information, communications and media. As these clusters are important for the health and capacity of other state driver industries, it will be important for Indiana to examine the causes of their declines.
It is noteworthy that Indiana has a smaller proportion of its employment in professional and technical services and information services than do some neighboring states. These sectors are both key components of the advanced business services cluster, a cluster that is increasingly important to the local capacity to produce the technologically advanced and knowledge-based services to support the driver industries required in the new global economy.
- The data presented are preliminary. Input from local experts and business leaders during the planning process will be essential in enhancing both data and analysis for regional use.
- Location Quotient = (R1/R2)/(N1/N2), where:
R1 = Regional Employment in Industry X
R2 = Total Regional Employment
N1 = National Employment in Industry X
N2 = Total National Employment
If LQ < 1, Region is less specialized in industry X and needs to import goods to satisfy local demand.
If LQ = 1, Region produces just enough in industry X to satisfy local demand.
If LQ > 1, Region is more specialized in industry X and exports goods to other regions.
Area Educator, Purdue University Cooperative Extension Service and the Indiana Economic Development Council