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GEOGRAPHIC UNITS USED FOR SOCIOECONOMIC IMPACT ANALYSIS IN H GUL O XICO GION ANALYSIS IN THE GULF OF MEXICO REGION Allan Pulsipher and Kathy Perry Allan Pulsipher and Kathy Perry Center for Energy Studies Louisiana State University March 22, 2011

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GEOGRAPHIC UNITS USED FOR SOCIOECONOMIC IMPACT

ANALYSIS IN H GUL O XICO GIONANALYSIS IN THE GULF OF MEXICO REGION

Allan Pulsipher and Kathy PerryAllan Pulsipher and Kathy PerryCenter for Energy StudiesLouisiana State University

March 22, 2011

Research QuestionsResearch Questions

1) Do the geographic units being used by BOEMRE for1) Do the geographic units being used by BOEMRE for planning purposes obscure or distort the potential socioeconomic impacts from offshore oil and gas ti it i f th i ti i l d dactivity in some of the regions or counties included 

in the geographic unit?

2) Are there alternative units or approaches that will reduce or avoid such problems?

2

Geographic Units:Geographic Units:

• The 132‐county area identified as the potential affected area for federal offshore activities on the Gulf of Mexico is organized into 

• 13 Economic Areas (EA) and subdivided further into• 13 Economic Areas (EA) and subdivided further into 

• 23 Labor Market Areas (LMA).

From the tip of Florida to the Texas/Mexico borderthrough five states

3

DataData

• Industrial Clusters (17) from IBRC supported by EDA

NAICS E l d i Wh l D 2001 2008• NAICS Employment data via WholeData 2001 to 2008 for oil and gas and associated categories, as well as Travel/Recreation

4

Relative percent difference in location quotients of counties and Economic Areas (2008 energy sector employment) 

5

Relative percent difference in location quotients of counties and Labor Market Areas (2008 energy sector employment) 

6

Some Findings:Some Findings:

• N mero s instances of values calculated for 13• Numerous instances of values calculated for 13 Economic Areas (EAs) obscuring or distorting dimensions of the cluster or industry observable at the level of the 23 Labor Market Areas or 132 counties.

7

Categories of Distortion:Categories of Distortion:

• “Cancelling Out” Some EAs/LMAs are composed of i h diff i h diffcounties that are very different with very different 

proportions of oil and gas activity that EA‐level measures tend to “cancel out.” EGs. TX‐1: Corpus Christi/Brownsville, LA‐3 Baton Rouge/Houma

• “Numerical Dominance” Some EAs/LMAs include counties that are so large relative to the others thatcounties that are so large relative to the others that even extreme concentrations or changes in smaller counties do not influence the unit totals. TX‐3: Houston/Galveston, LA‐1 Lake Charles (travel & recreation).

8

Categories of Distortion - cont.Categories of Distortion cont.

• “Meaningless Averages” Some counties in units are so different in relative importance and concentration that the average for the EA or LMA does not representthat the average for the EA or LMA does not represent any of the members. LA‐4 New Orleans

9

Data source: IBRC

10

Economic Areas—Energy (Fossil/Renewable)

3

Energy & Fossil Fuel Location Quotients  (US) Labor Market Areas 

Lafayette HoumaBrazoria

2

2.5

ent

Houston ‐Galveston

New Orleans

Baton Rouge

Corpus ChristiBeaumont ‐ Port Arthur

Mobile

Lake Charles

Pensacola

Victoria

Panama City1

1.5

Location

 Quo

tie

LQ = 1.2

Miami Tampa‐St. Petersburg

Ft. Myers

Brownsville Sarasota

Biloxi‐GulfportTallahassee

Ocala

Gainesville

y

Lake City

0

0.5

Data source: IBRC

‐20% ‐10% 0% 10% 20% 30% 40% 50%

% Change  in LQ 2001‐2008bubble size = 2008 employment

11

Labor Market Areas—Energy (Fossil/Renewable)

8

Oil and Gas Extraction Location Quotients Economic Areas 

LA‐2

LA‐3LA‐4

TX‐3

5

6

7

tient

LA‐1

TX‐1

TX‐22

3

4

Location

 Quo

AL‐1FL‐1

FL‐2 FL‐3FL‐4 MS‐1

0

1

2

‐150% ‐100% ‐50% 0% 50% 100% 150% 200% 250% 300%

LQ = 1.2

Data source: WholeData, 2008 County Business Patterns

‐150% ‐100% ‐50% 0% 50% 100% 150% 200% 250% 300%

% Employment Change 2001‐2008bubble size = 2008 employment

12

Economic Areas—Oil & Gas Extraction (NAICS 211)

Houma

25

Oil and Gas Extraction Location Quotients Labor Market Areas 

Houma

15

20

uotient

LMAs w/ empl. < 25:

Ft. Myers, FLGainesville,  FLLake City, FLMiami, FLOcala, FLPanama City, FL

L f ttNew Orleans

Corpus Christi

Houston‐Galveston

10

Location

 Qu Panama City, FL

Sarasota, FLTallahassee,  FLTampa‐St. Petersburg, FL

Mobile Pensacola

Baton Rouge

Lafayette

Lake Charles

Biloxi‐GulfportBeaumont‐Port ArthurBrazoria

Brownsville

Victoria

0

5

‐150% ‐100% ‐50% 0% 50% 100% 150% 200% 250% 300% 350%

LQ = 1.2

Data source: WholeData, 2008 County Business Patterns

% Employment Change 2001‐2008bubble size = 2008 employment

13

Labor Market Areas—Oil & Gas Extraction (NAICS 211)

16

18

Drilling Oil and Gas Wells Location Quotients Economic Areas 

EA / l i tLA‐2

10

12

14

16

otient

EA w/ no empl. in sector:

FL‐2 (Tallahassee/Lake  City)

LA‐3

TX‐1

4

6

8

Location

 Quo

AL‐1FL‐1FL‐3

FL‐4LA‐1LA‐4

MS‐1

TX‐2 TX‐3

‐2

0

2

200% 100% 0% 100% 200% 300% 400% 500% 600%

LQ = 1.2

‐200% ‐100% 0% 100% 200% 300% 400% 500% 600%

% Employment Change 2001‐2008bubble size = 2008 employment

Data source: WholeData, 2008 County Business Patterns

14

Economic Areas—Drilling Oil & Gas Wells (NAICS 213111)  

23

Drilling Oil and Gas Wells Location Quotients Labor Market Areas 

Houma

Lafayette

Corpus Christi

13

18

otient

Houston‐Galveston

8

Location

 Qu LMAs w/ empl. < 25:

Mobile, ALBiloxi‐Gulfport, MSall Florida LMAs

Baton RougeLake Charles

New Orleans

Beaumont‐Port Arthur

Brazoria

BrownsvilleVictoria

‐2

3

‐200% ‐100% 0% 100% 200% 300% 400% 500% 600% 700%

LQ = 1.2

Data source: WholeData, 2008 County Business Patterns

% Employment Change 2001‐2008bubble size = 2008 employment

15

Labor Market Areas—Drilling Oil & Gas Wells (NAICS 213111)

3

Energy (Fossil/Renewable) Location Quotients (US) Counties in Houston‐Galv/Beaumont‐Pt. Arthur EA

ChambersHarris Jefferson

2

2.5

uotient

Fort Bend GalvestonHardin

Liberty

Montgomery

Orange

Waller1

1.5

Location

 Qu

LQ = 1.2

Austin

Jasperiberty

NewtonOrange

PolkSan Jacinto

Tyler

Washington

0

0.5

‐100% ‐50% 0% 50% 100% 150%

% Change in LQ 2001‐2008bubble size = 2008 employment

Data source: IBRC

16

Houston‐Galveston/Beaumont‐Port Arthur Economic Area (TX‐3)

3.0

Travel and Recreation Location QuotientsLake Charles, LA Parishes (LA‐1)

Calcasieu2.0

2.5

ient

Cameron

1.0

1.5

Location

 Quo

ti

LQ = 1.2

AllenBeauregardJefferson Davis

Vernon

0.0

0.5

‐60% ‐50% ‐40% ‐30% ‐20% ‐10% 0% 10% 20% 30% 40%

Data source: WholeData, 2008 County Business Patterns

60% 50% 40% 30% 20% 10% 0% 10% 20% 30% 40%

% Employment Change 2001‐2008bubble size = 2008 employment

17

Lake Charles Economic Area (LA‐1)

3.5

Energy (Fossil/Renewable) Location Quotients (US) Parishes in Lafayette EA

Acadia

IberiaLafayette

St MartinVermilion

2.5

3

otient

St. MartinVermilion

1

1.5

2

Location

 Quo

LQ = 1.2

Evangeline

St. Landry

0

0.5

‐40% ‐30% ‐20% ‐10% 0% 10% 20% 30% 40% 50% 60%

L

Data source: IBRC

% Change in LQ 2001‐2008bubble size = 2008 employment

18

Lafayette Economic Area (LA‐2)

19

20