1. Regional Data Snapshot
Industry Cluster Analysis
SET Session 1
Northeast Arkansas Economic Development Association

2. 03 01 04 02 Overview Industry Cluster Analysis Industry and Occupation
Table of Contents 03 01
Overview
Industry Cluster Analysis 04 02
Industry and Occupation
Occupations

3. Northeast Arkansas Economic Development Association, AR01
overview

4. Northeast AR Economic Development Association
Overview
Northeast AR Economic Development Association
The Northeast Arkansas Economic Development Association is comprised of 6 Arkansas counties. The region does not have an interstate, but I-55 passes near southeast of Poinsett County. The region is served by various U.S. Highways including U-49, U-62, U- 63, and U-67. Major railroads include BNSF and UP. Black River is the major navigable waterway in the region.
Clay
Craighead
Greene
Lawrence
Poinsett
Randolph
section 01

5. Establishments
Employment by industry 02
industry
and occupation

6. Components of changes in Jobs
Industry and occupation
Components of changes in Jobs
How to Interpret the Accompanying Table
New Startups: A completely new business from births/openings without any affiliation to an existing business.
Spinoffs: New businesses that were spun-off from existing businesses.
Expansions: Existing businesses that have expanded in jobs.
In-migration: Businesses that have moved-in from outside of the county.
Closings: Closure of existing businesses.
Contractions: Existing businesses that have shed/reduced jobs.
Out-migration: Businesses that have moved-out from the county.
Changes in Jobs ( )
Gained by
New Startups
+29,339
Spinoffs
+7,287
Expansion
+16,509
In-migration
+1,038
Lost by
Closings
-33,626
Contractions
-14,407
Out-migration
-1,100
Net change
+5,040
Table: Excel 2-1
section 02
Source: YourEconomy.org
Note: YourEconomy has changed its data source from NETS to InfoUSA on August, Based on the data available, we can only estimate churn based on jobs and not establishments.

7. Establishment Distribution by Stages
Economy
Company stages
An establishment is a physical business location. Branches, standalones and headquarters are all considered types of establishments.
Definition of Company Stages
Self-employed
2-9 employees 3
10-99
employees
employees 4
500+
employees
Establishment Distribution by Stages
Arkansas, 2015
section 03
Source: YourEconomy.org
Note: Based on Edward Lowe’s research,

8. Number of Establishments by Company Stages
Industry and occupation
Establishments
Number of Establishments by Company Stages
2009
2015
Stage
Establishments
Proportion
Stage 0
1,367
15%
1,513
14%
Stage 1
5,811
66%
7,497
69%
Stage 2
1,551
17%
1,658
Stage 3
125 1%
123
Stage 4 12
0.1% 10
Total
8,866
100%
10,801
Table: Excel 2-1
Questions:
What stage businesses have shaped the region’s economic growth in the last 6 years?
Which ones are growing or declining the most?
Which stage of establishments are likely to shape the region’s future economic growth?
section 02
Source: Youreconomy.org database

9. Jobs and Sales Industry and occupation Questions
What establishments are the most numerous based on company stages?
What stages have experienced the largest growth? The greatest decline?
What company stage employs the largest number of people?
What stage captures the most sales?
Which ones have experienced the greatest percentage loss over the period?
Jobs and Sales
Number of Jobs by Company Stages
Year
2009
2015
% Change
Stage 0
1,367
1,938
41.8%
Stage 1
21,960
27,870
26.9%
Stage 2
38,666
39,858
3.1%
Stage 3
21,082
21,622
2.6%
Stage 4
12,795
9,622
-24.8%
Total
95,870
100,910
5.3%
Sales ($Billion, 2015) by Company Stages
Year
2009
2015
% Change
Stage 0
0.30
1.0
238%
Stage 1
5.02
6.7
34%
Stage 2
8.04
9.0
12%
Stage 3
4.47
4.0
-11%
Stage 4
2.54
1.7
-32.9%
Total
20.37
22.40
10%
Table: Excel 2-1
section 02
Source: Youreconomy.org database

10. Top ten industry sector employment growth
Industry and occupation
Top ten industry sector employment growth
NAICS
Description
2009 Jobs
2015 Jobs
Change
Change (%)
State Change (%) 55
Management of Companies and Enterprises
350
503
153
44%
25% 71
Arts, Entertainment, and Recreation
870
1,093
223
26%
14% 53
Real Estate and Rental and Leasing
3,155
3,799
644
20% 4% 72
Accommodation and Food Services
6,350
7,416
1066
17%
12% 62
Health Care and Social Assistance
13,309
15,457
2148
16% 8% 48
Transportation and Warehousing
3,070
3,564
494 6% 61
Educational Services
1,292
1,473
181
19% 44
Retail Trade
11,571
13,039
1468
13% 7% 22
Utilities
272
293 21 52
Finance and Insurance
3,083
3,321
238 3%
Table: Excel 2-2
Questions:
What regional industry sectors have seen the greatest growth?
Did they grow at the same rate as the state?
What factors are causing the growth?
section 02
Source: EMSI Class of Worker (QCEW, non-QCEW, self-employed and extended proprietors)

11. Four industry sector employment decline
Industry and occupation
Four industry sector employment decline
NAICS
Description
2009 Jobs
2015 Jobs
Change
Change (%)
State Change (%) 51
Information
968
887
-81
-8%
-13% 56
Administrative and Support and Waste Management and Remediation Services
6,265
5,852
-413
-7%
21% 42
Wholesale Trade
3,487
3,422
-65
-2% 2% 90
Government
15,077
14,944
-133
-1%
Questions:
How does the industry sector make-up of the region compare to the rest of the state?
Which industry sectors are growing and declining the most in employment?
Table: Excel 2-2
section 02
Source: EMSI Class of Worker (QCEW, non-QCEW, self-employed and extended proprietors)

12. Industry cluster analysis03
Industry cluster analysis
Northeast Arkansas Economic Development Association, AR

13. List of Clusters Industry cluster analysis Advanced Materials
Fabricated Metal Product Manufacturing
Agribusiness, Food Processing & Technology
Energy (Fossil & Renewable)
Forest & Wood Products
Apparel & Textiles
Glass & Ceramics
Arts, Entertainment, Recreation & Visitor Industries
Information Technology & Telecommunications
Biomedical/Biotechnical (Life Sciences)
Machinery Manufacturing
Business & Financial Services
Mining
Chemicals
Primary Metal Manufacturing
Computer & Electronic Product Manufacturing
Printing & Publishing
Transportation & Logistics
Defense & Security
Transportation Equipment Manufacturing
Education & Knowledge Creation
Electrical Equip, Appliance & Component Manufacturing
Goal: To provide a list of the clusters used in the data
This slide lists the overarching clusters used in the data. These are not mutually exclusive.
Note that the Manufacturing Super-cluster contains the following:
Primary Metals
Fabricated Metal Products
Machinery
Computer and Electronic Products
Electrical Equipment, Appliance and Components
Transportation Equipment
Time: 5 minutes
section 03

14. Industry cluster analysis
How to interpret cluster data results The graph’s four quadrants tell a different story for each cluster.
Contains clusters that are more
concentrated in the region but
are declining (negative growth).
These clusters typically fall
into the lower quadrant as
job losses cause a decline
in concentration.
Emerging
Bottom right
(weak but advancing)
Stars
Top right (strong and advancing)
Mature
Top left (strong but declining)
Transforming
Bottom left
(weak and
declining)
Contains clusters that are more
concentrated in the region and are
growing. These clusters are
strengths that help a region
stand out from the competition.
Small, high-growth clusters
can be expected to become
more dominant over time.
Contains clusters that are
under-represented in the
region (low concentration)
and are also losing jobs.
Clusters in this region may
indicate a gap in the workforce
pipeline if local industries anticipate
a future need. In general, clusters in this
quadrant show a lack of competitiveness.
Contains clusters that are
under-represented in the
region but are growing, often
quickly. If growth trends
continue, these clusters will
eventually move into the top right
quadrant. Clusters in this quadrant
are considered emerging strengths
for the region.
section 03
Modified from:

15. Level of Specialization
Industry cluster analysis
Mature Clusters
Electrical Equip, App & Com Mfg. (3.55; 836)
Glass & Ceramics (1.7; 297)
Forest & Wood Products (1.14; 1,798)
Fabricated Metal Product Mfg. (1.04; 883)
Biomedical/Biotechnical (1.03; 8,538)
Star Clusters
Transportation Equipment Mfg. (4.17; 3,919)
Machinery Manufacturing (2.95; 2,002)
Agribusiness, Food Processing & Tech (2.76; 8,703)
Chemicals (1.89; 2,422)
Mining (1.17; 373)
Transportation & Logistics (1.02; 3,519)
Level of Specialization
Percent Growth in Specialization
Transforming Clusters
Primary Metal Manufacturing (0.91; 209)
Energy (Fossil & Renewable) (0.66; 3,845)
IT & Telecommunications (0.57; 2,416)
Defense & Security (0.48; 2,141)
Printing & Publishing (0.44; 790)
Business & Financial Services (0.43; 5,840)
Apparel & Textiles (0.25; 196)
Emerging Clusters
Advanced Materials (0.97; 3,043)
Education & Knowledge Creation (0.55; 1,375)
Arts, Ent, Rec & Visitor Industries (0.46; 1,986)
Computer & Electronic Product Mfg. (0.16; 99)
Table: Excel 3-1
section 03
NOTE: The first number after each cluster represents the number of total jobs (full and part time jobs by place of work) in that cluster in the region in The clusters are sorted in decreasing order by location quotient as shown in the bubble chart.

16. Bubble Chart: What to Look at First
Quadrant Location
Size of Location Quotient
Percentage Change in Last 5 Years
Number of Employees
Bubble Chart: What to Look at First
Start with clusters located in the STARS quadrant
See if the MATURING clusters might have a good chance of growing again
Determine if EMERGING clusters are likely to grow in strength
Avoid clusters that are “TRANSFORMING”
Focus on clusters with an LQ of 1.2 or higher
Clusters with high LQs represent economic activities in which the region is competitive relative to the U.S.
REMEMBER: Clusters only capture industries that have the likelihood of exporting goods and services.
The horizontal line (the x-axis) shows the percentage growth or decline of a cluster over a five-year period.
Make sure to examine the SIZE and DIRECTION of that change.
Dramatic declines in a cluster with a an LQ of 1.2 or higher could be a difficult one to resurrect.
The size of the bubble refers to the number of people employed in that cluster.
It may be worthwhile to focus on clusters that are both competitive and that employ a good number of people.
Goal: To better understand how to interpret the bubble chart
Use this slide to interpret the bubble chart handout of all of the possible clusters in the region (Page 7 of the Targeted Industry Cluster Handout). Have the team ensure that the industries listed as stars, emerging, mature, and transforming, align with the handout. Have the team identify those clusters with larger Location Quotients (LQ) as well as those clusters with large employment.
Time: 4 minutes
section 03

17. Industry cluster bubble chart
Industry and occupation
Industry cluster bubble chart
Transforming
Emerging
Mature
Star
Table: Excel 3-1
Note: Label includes cluster name, LQ in 2015, and Employment in 2015.
section 03
Source: EMSI Class of Worker (QCEW, non-QCEW, self-employed and extended proprietors)

18. The Manufacturing Super-Cluster
Please note that this is not a cluster that a SET region should select. Rather, focus on the manufacturing sub-clusters that are important to that super-cluster.
Manufacturing Super-Cluster
Computer & Electronic Product Manufacturing
Electric Equipment, Appliances & Component Manufacturing
Fabricated Metal Product Manufacturing
Machinery Manufacturing
Primary Metal Manufacturing
Transportation Equipment Manufacturing

19. Manufacturing sub-cluster bubble chart
Industry and occupation
Manufacturing sub-cluster bubble chart
Transforming
Emerging
Mature
Star
Table: Excel 3-1
Note: Label includes cluster name, LQ in 2015, and Employment in 2015.
section 03
Source: EMSI Class of Worker (QCEW, non-QCEW, self-employed and extended proprietors)

20. For your region Industry and occupation Mature Industries
Five industry clusters in the NAEDA region is in the Matured stage: Electrical Equip, App & Comp Mfg.; Glass & Ceramics; Forest & Wood Prod.; Fabricated Metal Product Mfg.; and Biomedical/Biotech. The mature industries are relatively concentrated, but its growth is trending downward. It is worth noting, however, that the Region may find it worthwhile to invest in efforts to shore up the concentration of these industries.
Transforming Industries
Transforming clusters capture the mix of industries that are experiencing relative decline and limited export capability. In the Region, Primary Metal Mfg.;
Energy; IT & Telecom; Defense & Security; Printing & Publishing; Business & Financial Services; and Apparel & Textiles. Seven industry clusters are all Transforming clusters. Any amount of growth in these industries would require relatively large investments.
Star Industries
Star industry clusters are highly concentrated, exporting and still experiencing growth in the region. Six Star industry clusters in the NAEDA region are Transportation Equip Mfg.; Machinery Mfg.; Agribusiness, Food Process & Tech; Chemicals; Mining; and Transportation & Logistics.
These clusters indicate that they have a little more jobs concentration in the region compared to the U.S.
Emerging Industries
Industry clusters that may be poised for future growth are classified as “Emerging.” There are four Emerging clusters in total in the NAEDA region: Advanced Materials; Education & Knowledge Creation; Arts, Entertainment, Recreation & Visitor Industries; and
Computer & Electronic Product Mfg.
section 03
Source: EMSI Class of Worker (QCEW, non-QCEW, self-employed and extended proprietors)

21. Top occupations
STEM occupations 04
occupations

22. Top five occupations in 2015
Industry and occupation
Top five occupations in 2015
Questions:
What are the education and skill requirements for these occupations?
Do the emerging and star clusters align with the top occupations?
What type salaries do these occupations typically provide?
Chart: Excel 3-1
section 04
Source: EMSI Class of Worker (QCEW, non-QCEW, self-employed and extended proprietors)

23. Science, Technology, Engineering & Math
Industry and occupation
Science, Technology, Engineering & Math
1,535
1,509
-1.7%
Change
2015
2009
Job change in STEM occupations
NAEDA, AR
Rest of Arkansas
36,739
3.8%
35,409
Questions:
How do STEM jobs compare to the state?
What has been the trend of STEM jobs over time?
How important are STEM jobs to the region’s Star and Emerging clusters?
section 04
*Note: STEM and STEM-related occupation definitions from BLS (2010)
Source: EMSI Class of Worker (QCEW, non-QCEW, self-employed and extended proprietors)

24. Report Contributors This report was prepared by the Purdue Center for Regional Development, in partnership with the Southern Rural Development Center and USDA Rural Development, in support of the Stronger Economies Together program.
Report Authors
Bo Beaulieu, PhD
Indraneel Kumar, PhD
Andrey Zhalnin, PhD
Data Analysis
Ayoung Kim
Andrey Zhalnin, PhD
Indraneel Kumar, PhD
Report Design
Tyler Wright
This report was supported, in part, by grant from the USDA Rural Development through the auspices of the Southern Rural Development Center. It was produced in support of the Stronger Economies Together (SET) program.

25. May 2017 For more information, please contact: Dr. Bo Beaulieu,
PCRD Director: Or
The Purdue Center for Regional Development (PCRD) seeks to pioneer new ideas and strategies that contribute to regional collaboration, innovation and prosperity.
May 2017