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Harvard Business SchoolProfessor Michael E. PorterNational Governors Association Winter MeetingFebruary 26, 2011
Citation preview
1 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Competitiveness:
State and Cluster Economic Performance
Prepared for Governor Susana Martinez
Professor Michael E. Porter National Governors Association Winter Meeting
February 26, 2011
2 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Performance Snapshot
• Education and Knowledge Creation
• Hospitality and Tourism
• Oil and Gas Products and Services
• Entertainment
• Information Technology
Prosperity
Innovation
Productivity
Labor Mobilization
Cluster Strength
Leading Clusters
Position Trend
Top quintile
3rd quintile
4th quintile
2nd quintile
Lowest quintile
3 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
State Comparative Performance
4 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Competitiveness Overall Economic Performance Indicators
Note: Ranks are among the 50 US states plus the District of Columbia. Growth calculated as compound annual growth rate. *Real annual rate.
Prosperity
Cluster
Gross State Product per capita, 2009 Share of State Traded Employment in Strong Clusters, 2008
• In New Mexico: $37,221 Rank: 42 • In New Mexico: 50.0% Rank: 8
• In the US: $46,093 • In the US: 41.8%
• State difference to US: -19.2%
Change in Share of National Employment in Strong Clusters, 1998-2008
Growth in Gross State Product per capita, real annual rate, 1999-2009 • In New Mexico: 0.04% Rank: 25
• In New Mexico: 0.63% Rank: 37 • In the US: -0.06%
• In the US: 0.86%
Share of Employment in Traded Clusters, 1998-2008
• In New Mexico: 24.4% Rank: 46
Productivity • In the US: 27.4%
Gross State Product per labor force participant, 2009 Change in Share of Employment in Traded Clusters, 1998-2008
• In New Mexico: $77,961 Rank: 42 • In New Mexico: -0.9% Rank: 15
• In the US: $92,382 • In the US: -2.2%
• State difference to US: -15.6%
Labor Mobilization
Growth in Gross State Product per labor force participant*, 1999-2009
• In New Mexico: 0.41% Rank: 45 Population, 2009
• In the US: 1.09% • In New Mexico: 2,009,661 Rank: 36
• % of US: 0.65%
Average private wage, 2008
• In New Mexico: $34,734 Rank: 41 Population growth, annual rate, 1999-2009
• In the US: $42,435 • In New Mexico: 1.06% Rank: 17
• State difference to US: -18.1% • In the US: 0.96%
Private wage Growth, annual rate, 1998-2008 Labor Force Participation, 2009
• In New Mexico: 3.63% Rank: 14 • In New Mexico: 61.6 Rank: 46
• In the US: 3.32% • In the US: 65.4
Employment, 2010 (December)
Innovation Output • In New Mexico: 875,985 Rank: 38
• % of US: 0.63%
Patents Per 10,000 Employees, 2009
• In New Mexico: 4.73 Rank: 26 Employment growth, annual rate, 2000-2010 (December)
• In the US: 6.83 • In New Mexico: 0.76% Rank: 8
• In the US: 0.11%
Growth in total patents, annual rate, 1998-2009
• In New Mexico: -1.12% Rank: 27 Unemployment, 2010 (December)
• In the US: 0.23% • In New Mexico: 8.5% Rank: 24
• In the US: 9.4%
Traded establishment formation, annual growth rate, 1998-2008
• In New Mexico: 1.90% Rank: 21 Change in Unemployment, 2000-2010 (December)
• In the US: 1.79% • In New Mexico: 3.6% Rank: 13
• In the US: 5.5%
5 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
$30,000
$35,000
$40,000
$45,000
$50,000
$55,000
$60,000
$65,000
$70,000
-1.0% -0.5% 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0%
U.S. GDP per
Capita: $46,093
High and rising
prosperity versus U.S.
Long Term State Prosperity Performance 1999 to 2009
Notes: Real GDP figures in 2005 chained US dollars from the Bureau of Economic Analysis. Growth rate is calculated as compound annual growth rate. D.C. excluded
U.S. GDP per Capita
Real Growth Rate: 0.86%
Gross Domestic Product per Capita Real Growth Rate, 1999 to 2009
Gro
ss
Do
mes
tic P
rod
uct
pe
r C
ap
ita,
20
09
High but declining
versus U.S.
Low and declining
versus U.S. Low but rising versus U.S.
Illinois
Wyoming
North Dakota
South Dakota
Delaware
Alaska Connecticut
Wisconsin
Nevada
Arizona
New York New Jersey Massachusetts
California
West Virginia
Mississippi
Vermont Oklahoma
Iowa Nebraska
North Carolina
Georgia Florida
Michigan
Idaho South Carolina
Texas
Oregon
Rhode Island Louisiana
Pennsylvania Kansas
New Hampshire
Arkansas
Maine
Colorado
Washington
Virginia
Minnesota
Hawaii Maryland
Alabama Montana Kentucky
New Mexico
Missouri Ohio
Indiana Utah
Tennessee
6 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
$30,000
$35,000
$40,000
$45,000
$50,000
$55,000
$60,000
$65,000
$70,000
-6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0%
Near Term State Prosperity Performance U.S. States, 2007 to 2009
Notes: Real GDP figures in 2005 chained US dollars from the Bureau of Economic Analysis. Growth rate is calculated as compound annual growth rate.
U.S. GDP per Capita
Real Growth Rate: -1.87%
U.S. GDP per
Capita: $46,093
Gross Domestic Product per Capita Real Growth Rate, 2007 to 2009
Gro
ss
Do
mes
tic P
rod
uct
pe
r C
ap
ita,
20
09
Illinois
Wyoming
North Dakota
South Dakota
Delaware
Alaska Connecticut
Wisconsin
Nevada
Arizona
New York New Jersey
Massachusetts
California
West Virginia
Mississippi
Vermont Oklahoma
Iowa
Nebraska
North Carolina
Georgia Florida
Michigan
Idaho South Carolina
Texas
Oregon
Rhode Island
Louisiana
Pennsylvania Kansas
New Hampshire
Arkansas
Maine
Colorado
Washington Virginia
Minnesota
Hawaii Maryland
Alabama
Montana
Kentucky New Mexico
Missouri Ohio
Indiana Utah
Tennessee
High but declining versus U.S.
Low and declining versus U.S. Low but rising versus U.S.
High and rising
prosperity versus U.S.
7 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
State Private Sector Wage Performance 1998-2008
U.S. Average Wage
Growth: 3.32%
U.S. Average
Wage: $ 42,435
Wage Growth (CAGR), 1998-2008
Ave
rag
e W
ag
e,
20
08
High and rising wages
relative to U.S.
Source: Census CBP report; private, non-agricultural employment. Growth is calculated on nominal wage levels.
$30,000
$35,000
$40,000
$45,000
$50,000
$55,000
$60,000
2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% 5.5%
Illinois
Wisconsin
Wyoming
New York
North Dakota
Michigan
Massachusetts Connecticut
New Jersey
Alaska
California
Washington
Delaware Maryland Minnesota
Colorado Texas
Virginia
Indiana
Idaho South Carolina
West Virginia
Mississippi
Tennessee
Hawaii
Ohio
Georgia
New Hampshire
Rhode Island
Louisiana
Oklahoma
New Mexico
Arkansas
South Dakota
Montana
Pennsylvania
Iowa
Maine Kentucky
Alabama
Nebraska Utah
North Carolina
Vermont
Arizona
Nevada Kansas Florida
Missouri
Oregon
High but declining versus U.S.
Low and declining versus U.S. Low but rising versus U.S.
8 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
$60,000
$70,000
$80,000
$90,000
$100,000
$110,000
$120,000
$130,000
$140,000
$150,000
-0.5% 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5%
Long Term State Labor Productivity Performance 1999-2009
Source: Bureau of Economic Analysis. Notes: Growth rate calculated as compound annual growth rate (CAGR).
Gross Domestic Product per Labor Force Participant Real Growth Rate, 1999-2009
Gro
ss
Do
mes
tic P
rod
uct
pe
r L
ab
or
Fo
rce
Pa
rtic
ipa
nt,
20
09
Highly productive and
productivity rising versus U.S.
High but declining versus U.S.
Low and declining versus U.S. Low but rising versus U.S.
U.S. GDP per Labor Force
Participant Real Growth: 1.09%
U.S. GDP per Labor Force
Participant: $92,382
Illinois
Wyoming
North
Dakota South
Dakota
Delaware
Alaska
Connecticut
Wisconsin
Nevada
Arizona
New York
New Jersey Massachusetts
California
West Virginia
Mississippi
Vermont
Oklahoma
Iowa
Nebraska North Carolina
Georgia
Florida Michigan
Idaho South Carolina
Texas
Oregon Rhode Island
Louisiana
Pennsylvania
Kansas
New Hampshire
Arkansas
Maine
Colorado Washington Virginia
Minnesota
Hawaii
Maryland
Alabama
Montana
Kentucky
New Mexico Missouri
Ohio
Indiana Utah
Tennessee
9 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
$60,000
$70,000
$80,000
$90,000
$100,000
$110,000
$120,000
$130,000
$140,000
$150,000
-8.0% -6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0% 8.0%
Near Term State Labor Productivity Performance 2007-2009
U.S. GDP per Labor Force
Participant Real Growth: -0.97%
U.S. GDP per Labor Force
Participant: $92,382
Gross State Product per Labor Force Participant Real Growth Rate, 2007-2009
Gro
ss
Sta
te P
rod
uct
pe
r L
ab
or
Fo
rce
Pa
rtic
ipa
nt,
20
09
Highly productive and
productivity rising versus U.S.
Source: Bureau of Economic Analysis. Notes: Growth rate calculated as compound annual growth rate (CAGR).
High but declining versus U.S.
Low and declining versus U.S. Low but rising versus U.S.
Illinois
Wyoming
North Dakota South
Dakota
Delaware
Alaska
Connecticut
Wisconsin
Nevada
Arizona
New York
New Jersey Massachusetts California
West Virginia
Mississippi
Vermont
Oklahoma
Iowa
Nebraska North Carolina
Georgia
Florida
Michigan
Idaho South Carolina
Texas
Oregon
Rhode Island
Louisiana
Pennsylvania
Kansas
New Hampshire
Arkansas
Maine
Colorado Washington
Virginia
Minnesota
Hawaii
Maryland
Alabama
Montana Kentucky
New Mexico Missouri Ohio
Indiana Utah
Tennessee
10 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Losing Jobs Gaining Jobs
Long Term State Job Growth 2000 to 2010
Source: Bureau of Labor Statistics
Nu
mb
er
of
Jo
bs 2
01
0
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
8,000,000
9,000,000
-2.0% -1.5% -1.0% -0.5% 0.0% 0.5% 1.0% 1.5% 2.0%
California (15,945,558) Texas (11,202,388)
U.S. Average Growth Rate: 0.11%
New York
Florida
Pennsylvania Illinois
Ohio
Michigan
Virginia
Washington
Arizona
Georgia North Carolina New Jersey
Massachusetts
Indiana
Missouri
Wisconsin
Tennessee Maryland Minnesota
Colorado
Alabama
Mississippi
West Virginia
Delaware Rhode Island Hawaii Maine
Nebraska
Montana Vermont Alaska
Utah Nevada
New Mexico Idaho
New Hampshire
Wyoming
South Dakota North
Dakota
Arkansas Kansas Iowa
Oregon Connecticut
Oklahoma
Kentucky Louisiana
South Carolina
Job Growth Rate (CAGR), 2000-2010
11 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Losing Jobs Gaining Jobs
Near Term State Job Growth 2007 to 2010
Source: Bureau of Labor Statistics
Job Growth Rate (CAGR), 2007-2010
Nu
mb
er
of
Jo
bs 2
01
0
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
8,000,000
9,000,000
-4.0% -3.5% -3.0% -2.5% -2.0% -1.5% -1.0% -0.5% 0.0% 0.5% 1.0%
California (15,945,558) Texas (11,202,388)
U.S. Average Growth Rate: -1.52%
New York
Florida
Pennsylvania
Illinois
Ohio
Michigan
Virginia
Washington
Arizona
Georgia North Carolina
New Jersey
Massachusetts
Indiana Missouri
Wisconsin Tennessee
Maryland
Minnesota
Colorado
Alabama
Mississippi West Virginia
Delaware Rhode Island
Hawaii Maine Nebraska
Montana Vermont Alaska
Utah Nevada
New Mexico Idaho New
Hampshire
South Dakota
North Dakota
Arkansas Kansas
Iowa
Oregon Connecticut Oklahoma
Kentucky Louisiana South Carolina
Wyoming
12 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Long Term State Unemployment Rate 2000 to 2010
Change in Employment Rate, 2000 to 2010
Un
em
plo
ym
en
t R
ate
, 2
01
0
Source: Bureau of Labor Statistics
Unemployment rising
3.0
5.0
7.0
9.0
11.0
13.0
15.0
0.01.02.03.04.05.06.07.08.09.010.0
Nevada
North Dakota
South Dakota
Nebraska
New Hampshire
Vermont
Wyoming Hawaii
Iowa
Kansas
Montana
Alaska Louisiana
Virginia Oklahoma
Minnesota Maine Maryland
Utah Wisconsin
Arkansas New York Texas
Pennsylvania New Mexico Delaware
Massachusetts
Colorado Connecticut
Indiana
Georgia
South Carolina
Rhode Island
Michigan Florida
California
Kentucky Oregon
Mississippi
Washington
West Virginia Idaho
Illinois Alabama
New Jersey U.S. Average
Unemployment Rate: 9.4%
Change in US Average
Employment Rate: 5.5%
Ohio North Carolina
Missouri
Arizona
Tennessee
Below average
unemployment
Higher
unemployment
Above average
unemployment
%
%
%
%
%
%
%
%
% % % % % % % % % %
13 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
3.0
5.0
7.0
9.0
11.0
13.0
15.0
0.01.02.03.04.05.06.07.08.09.010.0
Near Term State Unemployment Rate 2007 to 2010
Change in Employment Rate, 2007 to 2010
Un
em
plo
ym
en
t R
ate
, 2
01
0
Source: Bureau of Labor Statistics
Unemployment rising
U.S. Average
Unemployment Rate: 9.4%
Change in US Average
Employment Rate: 4.4%
Nevada
North
Dakota
South Dakota Nebraska
New Hampshire
Vermont
Wyoming Hawaii Iowa
Kansas
Montana
Alaska Louisiana
Virginia Oklahoma Minnesota
Maine Maryland
Utah Wisconsin
Arkansas New York Texas
Pennsylvania New Mexico Delaware
Massachusetts Colorado
Connecticut
Indiana
Georgia
South
Carolina Rhode Island
Michigan Florida
California
Kentucky Oregon Mississippi
Washington
West Virginia
Idaho Illinois Alabama
New Jersey
Ohio North Carolina
Missouri Arizona Tennessee
Below average
unemployment
Above average
unemployment
%
%
%
%
%
%
%
%
% % % % % % % % % %
14 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
0
2
4
6
8
10
12
14
-5% -4% -3% -2% -1% 0% 1% 2% 3%
Long Term State Patenting Performance U.S. States, 1999 to 2009
Growth Rate of Patenting, 1999 to 2009
Pa
ten
ts p
er
10
,00
0 E
mp
loye
es
, 2
00
9
Source: USPTO, Bureau of Labor Statistics. Note: Growth rate calculated as compound annual growth rate (CAGR). 3,000 patents issued in 2009 =
U.S. average Growth Rate
of Patenting: -0.30%
Arkansas (-6.9%, 0.76) Louisiana (-6.0%, 1.34)
Montana (-5.7%, 1.58)
South Dakota
West Virginia
Alaska
Idaho
Pennsylvania
Mississippi
Washington (+8.0%, 13.53)
Oregon (+4.9%, 10.31)
New Jersey
Ohio
Delaware
Vermont
California
Massachusetts
North Carolina
North Dakota Wyoming
Georgia
Nebraska Maine
Utah
Michigan
Minnesota
Colorado
New Hampshire
Connecticut
Wisconsin
Rhode Island
Kansas
Nevada Virginia
Iowa
Texas Arizona
New York
Illinois
Maryland
Indiana
New Mexico
Florida
Tennessee
Missouri
South Carolina Kentucky
Alabama
Hawaii
Oklahoma
U.S. average Patents per
10,000 Employees: 5.96
High and improving
innovation rate versus U.S.
High and declining
innovation
Low and declining innovation Low and improving innovation
15 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Patents by Organization
Rank Organization Patents
2005-2009
Rank Organization
Patents 2005-2009
1 Sandia Corporation 202 25 Fast Ditch, Inc. 5
2 Los Alamos National Security, Llc 63 27 Microsoft Corporation 4
3 University Of California, The Regents Of 62 27 Itt Manufacturing Enterprises, Inc. 4
4 Science & Technology Corporation At University Of New Mexico 39
27
Genesys Telecommunications Laboratories, Inc. 4
5 Cabot Corporation 36 27 Wavefront Sciences, Inc. 4
5 Xilinx, Inc. 36 27 Sionex Corporation 4
7 United States Of America, Air Force 27 27 Science Medicus, Inc. 4
8 Intel Corporation 13 27 Avistar, Inc. 4
8 Honeywell International Inc. 13 27 Bernardo Footwear, Llc 4
8 Memx, Inc. 13 27 Riccobene Designs Llc 4
8 Inlight Solutions, Inc. 13 36 Becton, Dickinson And Company 3
12 Boeing Company 11 36 Charles Stark Draper Laboratory, Inc. 3
12 Emcore Corporation 11 36 E. I. Du Pont De Nemours And Company 3
12 Knowm Tech, Llc 11 36 Massachusetts Institute Of Technology 3
15 Eastman Kodak Company 10 36 Micron Technology, Inc. 3
15 United States Of America, Department Of Energy 10
36 Motorola, Inc. 3
17 General Electric Company 9 36 Public Service Company Of New Mexico 3
17 Southwest Sciences, Incorporated 9
36 Pageant Technologies, Inc. (Micromem Technologies, Inc.) 3
19 Kestrel Corporation 7 36 Koninklijke Philips Electronics N.V. 3
19 Dharma Living Systems, Inc. 7 36 Pinnacle West Capital Corporation 3
21 Cts Corporation 6 36 Environmental Robots, Inc. 3
21 Miox Corporation 6 36 Accent Optical Technologies, Inc. 3
21 Lumidigm, Inc. 6 36 Nanopore, Inc. 3
21 Arrowhead Center, Inc. 6 36 Santa Fe Science And Technology, Inc. 3
25 New Mexico Tech Research Foundation 5 36 Surfect Technologies, Inc. 3
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
Universities and Research Institutions
Government Organizations
16 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
The Impact of Cluster Mix and Cluster Strength on Wages U.S. States, 2008
State
State Traded Wage versus
National Average
Cluster Mix Effect
Relative Cluster
Wage Effect State
State Traded Wage versus
National Average
Cluster Mix Effect
Relative Cluster
Wage Effect
New York 34,578 5,188 29,390 North Carolina -10,673 -5,131 -5,543
Connecticut 20,008 6,898 13,109 Missouri -10,953 -1,634 -9,319
Massachusetts 17,308 5,191 12,117 Rhode Island -11,089 -1,370 -9,719
New Jersey 12,157 4,638 7,519 Florida -11,780 -1,473 -10,307
California 9,597 121 9,476 Oklahoma -12,225 1,533 -13,758
Maryland 6,435 2,778 3,657 Alabama -12,301 -4,713 -7,588
Washington 4,827 3,058 1,769 Tennessee -13,063 -3,987 -9,076
Virginia 2,550 945 1,605 Vermont -13,095 -2,936 -10,159
Illinois 2,501 -61 2,562 Indiana -13,309 -5,495 -7,814
Alaska 2,386 -3,044 5,431 Nebraska -14,659 41 -14,699
Texas 1,400 2,796 -1,396 Utah -14,947 327 -15,274
Colorado 753 2,292 -1,539 South Carolina -15,256 -5,694 -9,562
Delaware 612 13,346 -12,733 Nevada -15,429 -2,829 -12,600
Louisiana -4,172 573 -4,745 Maine -15,826 -726 -15,100
Minnesota -4,404 43 -4,448 North Dakota -16,437 2,940 -19,378
Wyoming -4,423 1,408 -5,831 Iowa -16,963 -2,602 -14,361
Michigan -4,981 -2,534 -2,447 New Mexico -16,991 -125 -16,866
Pennsylvania -5,182 -1,064 -4,118 Kentucky -17,303 -5,013 -12,291
New Hampshire -6,359 1,224 -7,584 West Virginia -17,357 -4,290 -13,067
Georgia -7,262 -1,923 -5,338 Arkansas -17,616 -5,171 -12,445
Arizona -8,662 1,557 -10,219 Hawaii -18,103 -14,124 -3,980
Kansas -8,828 1,820 -10,648 Idaho -18,636 -1,567 -17,069
Ohio -9,766 -1,436 -8,330 Mississippi -20,859 -6,165 -14,694
Oregon -9,774 -2,355 -7,420 South Dakota -21,211 955 -22,166
Wisconsin -10,479 -3,341 -7,138 Montana -22,488 -3,494 -18,994
Cluster mix: a region’s particular mix of lower and higher average wage clusters
Relative cluster wage: a region’s cluster wage relative to the average national wage in that cluster
The cluster mix and the cluster wage level effects add up to the total difference between a region’s average wage and the
national average wage. On average, the wage level effect is responsible for 76.3% of the total difference in state wages to the
national average.
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17 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Effect of Urban and Rural Areas on Average State Wages U.S. States, 2008
State
Average Overall Wage
Difference to U.S.
Metro-Rural Mix
Relative Metro Wage
Relative Rural Wage State
Average Overall Wage
Difference to U.S.
Metro-Rural Mix
Relative Metro Wage
Relative Rural Wage
New York 15,412 982 14,078 353 Nevada -4,560 815 -5,752 377
Connecticut 10,919 1,013 9,592 315 Louisiana -4,739 -630 -4,764 655
Massachusetts 10,197 1,674 8,333 190 Kansas -5,371 -2,175 -2,535 -661
New Jersey 8,488 1,631 6,765 92 North Carolina -5,505 -1,262 -3,796 -446
Alaska 6,538 -1,438 5,158 2,818 Tennessee -5,992 -538 -4,973 -481
California 5,584 1,476 3,844 265 Florida -6,132 -128 -6,074 70
Illinois 3,427 411 3,277 -261 Indiana -6,225 -630 -5,665 70
Washington 3,013 832 2,122 58 Oklahoma -6,501 -2,030 -4,496 25
Delaware 2,664 -191 2,895 -40 Hawaii -6,583 -1,892 -4,871 179
Maryland 2,201 1,159 775 267 Utah -7,054 169 -7,273 50
Virginia 1,182 509 709 -36 Vermont -7,280 -6,080 -968 -232
Minnesota 1,024 -903 2,130 -202 Nebraska -7,419 -2,652 -3,621 -1,146
Colorado 539 -110 -66 714 Alabama -7,544 -1,206 -5,701 -636
Texas 325 350 -234 209 Maine -7,697 -2,479 -5,243 24
New Hampshire -504 -2,856 924 1,428 Kentucky -7,978 -2,179 -5,285 -515
Pennsylvania -1,184 262 -1,480 34 Iowa -8,096 -3,123 -4,509 -464
Michigan -1,785 -165 -1,576 -44 New Mexico -8,531 -1,843 -6,548 -140
Rhode Island -2,143 1,720 -3,846 -17 South Carolina -9,137 -609 -8,203 -325
Wyoming -2,478 -6,929 -2,304 6,755 Arkansas -9,482 -2,207 -6,283 -992
Georgia -3,136 -120 -2,542 -475 Idaho -9,766 -1,928 -6,872 -966
Ohio -3,925 -224 -3,799 98 North Dakota -9,973 -2,963 -6,607 -403
Arizona -3,962 937 -4,897 -2 West Virginia -10,074 -3,104 -7,013 43
Oregon -4,116 -359 -3,505 -251 South Dakota -10,976 -3,811 -5,475 -1,690
Wisconsin -4,336 -910 -3,419 -7 Mississippi -11,446 -4,569 -5,493 -1,383
Missouri -4,540 -573 -3,103 -865 Montana -11,792 -5,468 -5,495 -829
Note: Data are based on private, non-agricultural employment.
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
Metro-rural mix: average wage impact from a state’s relative proportion of metro and rural regions
Relative metro wage: average wage impact from state relative performance in metro regions
Relative rural wage: average wage impact from state relative performance in rural regions
On average 66.3% of the average wage gap in a state is due to the metro wage effect.
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18 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Composition of the New Mexico Economy
and Cluster Performance
19 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Composition of Regional Economies, United States
Local Clusters
• Serve almost
exclusively the
local market
• Not exposed to
cross-regional
competition for
employment
71.7% of
employment
61.8% of income
3.5% of patents
27.4% of
employment
37.3% of income
96.4% of patents
Traded Clusters
• Serve markets in other
regions and countries
• Free to choose location
• Exposed to competition
from other regions
Source: Michael E. Porter, Economic Performance of Regions, Regional Studies (2003); Updated via
Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School (2008)
Resource-based Clusters
• Location determined by
resource availability
• <1% of income,
employment, and patents in
the U.S.
20 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Overall Composition of the New Mexico Economy, 2008
NM 24.0%
NM 75.1%
NM 0.9%
US 27.4%
US 71.7%
US 0.9%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Traded Clusters Local Clusters Natural EndowmentDependent
Perc
en
t o
f To
tal
Pri
va
te E
mp
loym
en
t
Note: Data throughout this section of the report are based on private, non-agricultural employment.
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
21 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Composition of the New Mexico Economy Employment by Traded Cluster, 2008 Rank in US
Note: Ranks are among the 50 US states plus the District of Columbia. Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
Employment, 2008
436081
88162258375386404
442445494630649669723
8748811,2241,3231,3231,603
1,9151,9221,9351,9982,168
3,2313,622
4,2114,8075,168
8,5978,886
11,783
16,70419,819
22,40824,302
0 5,000 10,000 15,000 20,000 25,000 30,000
Sporting, Recreational and Children's Goods 47Tobacco 25
Biopharmaceuticals 48
Apparel 45Textiles 44
Motor Driven Products 43Aerospace Engines 30
Leather and Related Products 39Communications Equipment 41
Construction Materials 43
Prefabricated Enclosures 39Furniture 42
Lighting and Electrical Equipment 38Heavy Machinery 44
Plastics 46Automotive 45
Medical Devices 39Production Technology 45
Chemical Products 41Forest Products 40
Metal Manufacturing 42Agricultural Products 35
Jew elry and Precious Metals 13
Building Fixtures, Equipment and Services 43Pow er Generation and Transmission 33
Aerospace Vehicles and Defense 26Publishing and Printing 43Analytical Instruments 32
Transportation and Logistics 46
Distribution Services 44Processed Food 42
Financial Services 45Information Technology 29
Entertainment 31Heavy Construction Services 36
Oil and Gas Products and Services 7
Hospitality and Tourism 34Education and Know ledge Creation 30
Business Services 36
New Mexico overall employment rank = 37
22 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
0.0%
0.5%
1.0%
1.5%
2.0%
-0.45% -0.25% -0.05% 0.15% 0.35% 0.55%
Change in New Mexico share of National Employment, 1998 to 2008
Ne
w M
ex
ico
’s n
ati
on
al
em
plo
ym
en
t s
ha
re, 2
00
8
Employees 4,500 =
Composition of the New Mexico Economy Specialization by Traded Cluster, 1998 to 2008
New Mexico Overall
Share of US Traded
Employment: 0.47%
Overall change in the New Mexico
Share of US Traded Employment:
+0.04%
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
Added Jobs
Lost Jobs
Employment
1998-2008
Oil and Gas Products and
Services (+0.29%, 2.92%)
Jewelry and Precious
Metals
Power Generation
and Transmission Information
Technology
Entertainment
Hospitality and Tourism
Heavy
Construction
Services
Education and
Knowledge
Creation
Aerospace
Vehicles and
Defense
Forest Products
Aerospace
Engines
Apparel
Analytical
Instruments
Financial
Services Medical
Devices
Transportation
and Logistics
23 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
0.0%
0.1%
0.2%
0.3%
0.4%
0.5%
0.6%
-0.15% -0.10% -0.05% 0.00% 0.05% 0.10% 0.15%
Change in New Mexico share of National Employment, 1998 to 2008
Ne
w M
ex
ico
’s n
ati
on
al
em
plo
ym
en
t s
ha
re, 2
00
8
Employees 4,500 =
Composition of the New Mexico Economy Specialization by Traded Cluster, 1998 to 2008 (continued)
New Mexico Overall
Share of US Traded
Employment: 0.47%
Overall change in
the New Mexico
Share of
US Traded
Employment:
+0.04%
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
Added Jobs
Lost Jobs
Employment
1998-2008
Financial
Services
Distribution
Services Transportation
and Logistics
Automotive
Motor Driven
Products
Biopharmaceuticals
Analytical
Instruments Agricultural
Products
Business
Services
Furniture
Heavy Machinery Communication
Equipment
Textiles
Plastics
Metal
Manufacturing Production
Technology
Construction
Materials
Leather and
Related Products Processed
Food
Building Fixtures,
Equipment and Services
Chemical
Products
Lighting and Electrical
Equipment
Prefabricated
Enclosures
Publishing
and Printing
24 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Job Creation by Traded Cluster 1998 to 2008
Jo
b C
rea
tio
n,
19
98
to
20
08
-4,000
-2,000
0
2,000
4,000
6,000
8,000
10,000E
du
ca
tio
n a
nd
Kn
ow
led
ge
Cre
atio
n
Bu
sin
ess S
erv
ice
s
Oil a
nd
Ga
s P
rod
ucts
an
d S
erv
ice
s
Ho
sp
ita
lity
an
d T
ou
rism
He
avy C
on
str
uctio
n S
erv
ice
s
Ae
rosp
ace
Ve
hic
les a
nd
De
fen
se
Pro
ce
sse
d F
oo
d
Fo
rest P
rod
ucts
Pu
blish
ing
an
d P
rin
tin
g
En
tert
ain
me
nt
Bu
ild
ing
Fix
ture
s, E
qu
ipm
en
t a
nd
Se
rvic
es
Ag
ricu
ltu
ral P
rod
ucts
Pre
fab
rica
ted
En
clo
su
res
Le
ath
er
an
d R
ela
ted
Pro
du
cts
Lig
htin
g a
nd
Ele
ctr
ica
l E
qu
ipm
en
t
Pla
stics
Pro
du
ctio
n T
ech
no
log
y
Sp
ort
ing
, R
ecre
atio
na
l a
nd
Ch
ild
ren
's G
oo
ds
Co
nstr
uctio
n M
ate
ria
ls
Te
xtile
s
He
avy M
ach
ine
ry
Ch
em
ica
l P
rod
ucts
Me
tal M
an
ufa
ctu
rin
g
Bio
ph
arm
ace
utica
ls
Fu
rnitu
re
Mo
tor
Dri
ve
n P
rod
ucts
Ae
rosp
ace
En
gin
es
Co
mm
un
ica
tio
ns E
qu
ipm
en
t
Info
rma
tio
n T
ech
no
log
y
Me
dic
al D
evic
es
Tra
nsp
ort
atio
n a
nd
Lo
gis
tics
Dis
trib
utio
n S
erv
ice
s
Je
we
lry a
nd
Pre
cio
us M
eta
ls
An
aly
tica
l In
str
um
en
ts
Po
we
r G
en
era
tio
n a
nd
Tra
nsm
issio
n
Fin
an
cia
l S
erv
ice
s
Au
tom
otive
Ap
pa
rel
To
ba
cco
Net traded job creation,
1998 to 2008:
+19,538
Indicates expected job creation
given national cluster growth.*
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director. * Percent change in national benchmark times starting regional employment. Overall traded job creation in New Mexico, if it matched national benchmarks, would be +16602
25 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
$0 $20,000 $40,000 $60,000 $80,000 $100,000 $120,000 $140,000
FootwearPrefabricated Enclosures
Fishing and Fishing ProductsLighting and Electrical Equipment
TobaccoAerospace Engines
Power Generation and TransmissionHospitality and Tourism
TextilesEntertainment
Motor Driven ProductsFurniturePlastics
Jewelry and Precious MetalsEducation and Knowledge Creation
BiopharmaceuticalsProcessed Food
Agricultural ProductsBuilding Fixtures, Equipment and Services
AutomotiveSporting, Recreational and Children's Goods
Leather and Related ProductsApparel
Construction MaterialsTransportation and Logistics
Forest ProductsCommunications Equipment
Publishing and PrintingAerospace Vehicles and Defense
Information TechnologyChemical Products
Heavy MachineryMetal Manufacturing
Heavy Construction ServicesDistribution Services
Business ServicesProduction Technology
Medical DevicesAnalytical Instruments
Financial ServicesOil and Gas Products and Services
New Mexico Wages by Traded Cluster vs. National Benchmarks
Wages, 2008
New Mexico average
traded wage: $41,712
l Indicates average
national wage in
the traded cluster.
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
U.S. average traded
wage: $57,706
26 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Employment in Highest Wage Clusters, 2008
Total private, non-agricultural employment in New Mexico: 640,894.
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
= 12.2 % of
total private
employment
27 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Furniture Building
Fixtures,
Equipment &
Services
Fishing &
Fishing
Products
Hospitality
& Tourism Agricultural
Products
Transportation
& Logistics
New Mexico Cluster Portfolio, 2008
Plastics
Oil &
Gas
Chemical
Products
Biopharma-
ceuticals
Power
Generation &
Transmission
Aerospace
Vehicles &
Defense
Lightning &
Electrical
Equipment
Financial
Services
Publishing
& Printing
Entertainment
Information
Tech.
Communi
cations
Equipment
Aerospace
Engines
Business
Services
Distribution
Services
Forest
Products
Heavy
Construction
Services
Construction
Materials
Prefabricated
Enclosures
Heavy
Machinery
Sporting
& Recreation
Goods
Automotive
Production
Technology Motor Driven
Products
Metal
Manufacturing
Apparel
Leather &
Related
Products
Jewelry &
Precious
Metals
Textiles
Footwear
Processed
Food
Tobacco
Medical
Devices
Analytical
Instruments Education &
Knowledge
Creation
LQ > 4
LQ > 2
LQ > 1.
LQ, or Location Quotient, measures the state’s share in cluster employment relative to its overall share of U.S. employment.
An LQ > 1 indicates an above average employment share in a cluster.
28 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
-1.0% -0.5% 0.0% 0.5% 1.0% 1.5% 2.0%
Change in Share of National Employment, 1998 to 2008
Nati
on
al
em
plo
ym
en
t s
hare
, 2
00
8
Employees 1,200 =
New Mexico Share of US Oil
and Gas Products and Services
Employment: 2.92% Change in New Mexico Share of
US Oil and Gas Products and
Services Employment: +0.29%
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
Added Jobs
Lost Jobs
Employment
1998-2008
New Mexico Oil and Gas Products and Services Cluster, 1998-2008 Specialization by Subcluster
Oil and Gas
Exploration and
Drilling
Hydrocarbons
Pipeline Transportation
Petroleum
Processing
Oil and Gas Machinery
29 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Top 50 Subclusters by National Employment Share, 2008
Rising national employment share
Declining national employment share
Subcluster Cluster Employment
Employment
Rank in U.S.
Employment
Share in U.S.
Change in
Employment
Share in U.S.
1998-2008
1 Oil and Gas Exploration and Drilling Oil and Gas Products and Services 11,060 7 3.5% -0.6%
2 Hydrocarbons Oil and Gas Products and Services 3,443 7 3.2% 0.5%
3 Pipeline Transportation Oil and Gas Products and Services 1,066 10 2.7% 1.7%
4 Research Organizations Education and Knowledge Creation 18,371 14 2.4% -0.1%
5 Jewelry and Precious Metals Products Jewelry and Precious Metals 1,845 10 2.4% -0.6%
6 Electronic Components and Assemblies Information Technology 3,925 12 2.3% 0.0%
7 Processed Dairy and Related Products Processed Food 1,159 14 2.0% 1.2%
8 Entertainment Venues Entertainment 7,195 19 1.7% -0.3%
9 Electric Services Power Generation and Transmission 1,750 31 1.4% -0.8%
10 News Syndicates Publishing and Printing 122 14 1.3% 0.7%
11 Communications Services Information Technology 4,372 23 1.3% -0.3%
12 Search and Navigation Equipment Analytical Instruments 1,750 22 1.2% 0.3%
13 Costume jewerly Jewelry and Precious Metals 60 21 1.1% -1.2%
14 Switchgear Lighting and Electrical Equipment 375 26 1.1% 0.2%
15 Petroleum Processing Oil and Gas Products and Services 750 21 1.1% 0.1%
16 Optical Instruments Analytical Instruments 175 20 1.0% 0.2%
17 Irrigation Systems Agricultural Products 347 24 1.0% -0.3%
18 Accommodations and Related Services Hospitality and Tourism 15,707 28 1.0% 0.1%
19 Facilities Support Services Business Services 2,400 27 1.0% -1.4%
20 Final Construction Heavy Construction Services 8,274 31 1.0% 0.2%
21 Mobile Homes Prefabricated Enclosures 375 21 0.9% 0.7%
22 CeramicTile Heavy Construction Services 60 21 0.9% 0.2%
23 Tourism Attractions Hospitality and Tourism 1,856 26 0.9% 0.6%
24 Oil and Gas Machinery Oil and Gas Products and Services 385 8 0.9% 0.3%
25 Concrete, Gypsum and Other Building Products Building Fixtures, Equipment and Services 386 34 0.9% -0.3%
30 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Top 50 Subclusters by National Employment Share, 2008 (continued)
Rising national employment share
Declining national employment share
Subcluster Cluster Employment
Employment
Rank in U.S.
Employment
Share in U.S.
Change in
Employment
Share in U.S.
1998-2008
26 Equipment Distribution and Wholesaling Heavy Construction Services 1,391 37 0.9% -0.2%
27 Subcontractors Heavy Construction Services 808 34 0.8% 0.0%
28 Engineering Services Business Services 7,659 33 0.8% 0.0%
29 Specialty Foods and Ingredients Processed Food 1,592 34 0.8% 0.2%
30 Leather products Leather and Related Products 104 30 0.7% 0.2%
31 Photographic Services Publishing and Printing 90 27 0.7% 0.4%
32 Agricultural Products Agricultural Products 774 29 0.7% 0.1%
33 Entertainment Equipment Entertainment 185 31 0.7% 0.2%
34 Coated Fabrics Leather and Related Products 60 28 0.7% 0.6%
35 Clay and Vitreous Products Building Fixtures, Equipment and Services 63 32 0.7% 0.3%
36 Turbines and Turbine Generators Power Generation and Transmission 175 26 0.7% 0.7%
37 Aircraft Aerospace Vehicles and Defense 1,823 21 0.7% 0.6%
38 Cut and Crushed Stone Construction Materials 250 36 0.6% 0.1%
39 Lighting Fixtures Lighting and Electrical Equipment 185 32 0.6% 0.6%
40 Tourism Related Services Hospitality and Tourism 1,771 37 0.6% 0.2%
41 Mining Machinery Heavy Machinery 64 21 0.6% 0.1%
42 Cigarettes Tobacco 60 6 0.6% 0.6%
43 Intermediate Chemicals and Gases Chemical Products 940 32 0.6% 0.2%
44 Aircraft Engines Aerospace Engines 375 30 0.5% -0.3%
45 Paper Products Forest Products 435 32 0.5% 0.3%
46 Pumps Metal Manufacturing 175 35 0.5% 0.5%
47 Professional Organizations and Services Business Services 8,763 37 0.5% 0.3%
48 Candy and Chocolate Processed Food 271 32 0.5% -0.1%
49 Farm Management and Related Services Agricultural Products 424 35 0.5% 0.1%
50 Motors and Generators Motor Driven Products 198 27 0.5% 0.4%
31 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
7,350
8,312
9,632
11,644
11,722
14,487
15,180
19,662
21,092
29,563
31,214
35,415
53,115
66,654
70,239
85,035
0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000
Local Industrial Products and Services 37
Local Education and Training 36
Local Utilities 40
Local Entertainment and Media 36
Local Household Goods and Services 37
Local Personal Services (Non-Medical) 38
Local Logistical Services 37
Local Financial Services 39
Local Food and Beverage Processing and Dist 39
Local Community and Civic Organizations 36
Local Motor Vehicle Products and Services 37
Local Retail Clothing and Accessories 37
Local Commercial Services 40
Local Real Estate, Construction, and Develo 36
Local Hospitality Establishments 37
Local Health Services 39
New Mexico Employment by Local Cluster 2008
Employment, 2008
Rank in US
Note: Ranks are among the 50 US states plus the District of Columbia. Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
New Mexico overall employment rank = 37
32 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
New Mexico Job Creation by Local Cluster 1998 to 2008
Jo
b C
rea
tio
n, 1
99
8 t
o 2
00
8
-2,000
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000L
oca
l H
ea
lth
Se
rvic
es
Lo
ca
l H
osp
ita
lity
Esta
blish
me
nts
Lo
ca
l R
ea
l E
sta
te,
Co
nstr
uctio
n, a
nd
De
ve
lo
Lo
ca
l R
eta
il C
loth
ing
an
d A
cce
sso
rie
s
Lo
ca
l C
om
mu
nity a
nd
Civ
ic O
rga
niz
atio
ns
Lo
ca
l C
om
me
rcia
l
Se
rvic
es
Lo
ca
l M
oto
r V
eh
icle
Pro
du
cts
an
d S
erv
ice
s
Lo
ca
l P
ers
on
al S
erv
ice
s
(No
n-M
ed
ica
l)
Lo
ca
l L
og
istica
l S
erv
ice
s
Lo
ca
l F
ina
ncia
l S
erv
ice
s
Lo
ca
l H
ou
se
ho
ld G
oo
ds
an
d S
erv
ice
s
Lo
ca
l In
du
str
ial P
rod
ucts
an
d S
erv
ice
s
Lo
ca
l E
nte
rta
inm
en
t a
nd
Me
dia
Lo
ca
l F
oo
d a
nd
Be
ve
rag
e P
roce
ssin
g
an
d D
ist
Lo
ca
l U
tilitie
s
Lo
ca
l E
du
ca
tio
n a
nd
Tra
inin
g
Net local job creation,
1998 to 2008:
+ 85,795
Indicates expected job creation
given national cluster growth.*
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director. * Percent change in national benchmark times starting regional employment. Overall local job creation in New Mexico, if it matched national benchmarks, would be +71,344
33 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
$0 $10,000 $20,000 $30,000 $40,000 $50,000 $60,000 $70,000 $80,000
Local Hospitality Establishments
Local Retail Clothing and Accessories
Local Community and Civic Organizations
Local Personal Services (Non-Medical)
Local Food and Beverage Processing and Dist
Local Entertainment and Media
Local Household Goods and Services
Local Motor Vehicle Products and Services
Local Education and Training
Local Logistical Services
Local Real Estate, Construction, and Develo
Local Financial Services
Local Commercial Services
Local Health Services
Local Industrial Products and Services
Local Utilities
New Mexico Wages by Local Cluster vs. National Benchmarks
Wages, 2008
New Mexico average
local wage: $31,331
l Indicates average
national wage in
the local cluster.
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
U.S. average local
wage: $36,911
34 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Appendix:
Chart Descriptions, Interpretation, and Sources
35 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
State Snapshot The snapshot chart summarizes the relative performance of a state on levels and trends in five key
measures. The circles in the chart indicate quintile of performance as shown in chart legend.
1. Prosperity: State GDP per capita and 10-year trend
2. Productivity: Average private wage and 10-year trend
3. Labor Mobilization: Total labor force as a share of civilian population and 10-year trend
4. Innovation: Utility patents per 10,000 workers and 10-year trend
5. Cluster Strength:
• A “strong cluster” is identified by relative employment rank in the top 20% across all states. A
state’s “cluster strength” is in turn the state’s total share of traded employment in these strong
clusters.
• A positive trend in cluster strength is indicated by a state’s increasing national cluster share
across these strong clusters.
Leading Clusters: A listing of the state’s strong clusters is included. A state may have more than five strong
clusters; the top five by employment size in the state are shown in this section.
36 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Components of Regional Economies
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
A state’s or region’s economy can be divided into traded clusters, local clusters, and natural endowment
industries:
Traded clusters include those industries that compete across regions, and which tend to concentrate in
particular locations. Traded clusters are the engines of regional economic competitiveness. While they
account for only about a third of employment, they achieve the highest wages and productivity levels and
drive demand for localized businesses.
Local clusters involve activities serving almost exclusively the local market. Local clusters are present in
every region in roughly the same proportions. They employ the majority of people in any regional economy,
so their efficiency is critical for competitiveness in traded clusters. However, they cannot prosper over the
long run without success in the traded clusters.
Natural Endowment-dependent industries concentrate at natural resource sites. They account for a small
and declining share of national employment but can be relatively high wage.
The Cluster Mapping Project data presented in this report focuses primarily on traded clusters, though it
contains some information about other categories of industries. The performance of traded clusters holds
the key to present and future competitiveness.
37 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Employment by Traded Cluster
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
Within the broad category of traded clusters, a state’s economy can be divided into individual clusters.
Clusters are geographically proximate groups of interconnected companies and associated institutions in a
particular field, linked by commonalities and complementarities. Examples include automotive producers in
Michigan and Ohio, information technology in Silicon Valley, and money management in Boston.
The 41 traded clusters (and their 264 component subclusters) utilized in the Cluster Mapping Project were
developed using statistical analysis of the actual patterns of business location in the U.S. economy.
Clusters and subclusters are listed at the end of this appendix.
Interpretation:
This chart gives total employment in the state economy by each traded cluster.
Employment by cluster gives a more detailed profile of the activities in the state economy that make up the
job base. It can be used to understand the importance of the health of various groups or industries on the
overall prosperity of the region. z
Also shown on the chart are employment ranks for
each cluster versus those in the 50 U.S. states plus
D.C. Ranks above the region’s overall share of
national employment are an indication of cluster
specialization in the state and are highlighted on the
chart.
38 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Specialization by Traded Cluster
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
While other charts in this report focus on absolute employment and changes in employment, the
Specialization chart shows the region’s competitive position by traded cluster.
The size of each cluster “bubble” is proportional to the number of jobs in the region.
The location of each cluster bubble on the chart identifies a cluster’s relative performance in the US
economy:
• Clusters on the top half of the chart have local employment levels that are more than
proportionate to the region’s overall employment. These are clusters in which the region is
relatively specialized.
• Clusters on the right half of the chart are growing employment at a faster rate than the national
average for those clusters. These are clusters in which the region is gaining position in terms of
relative employment.
When present, a gray shaded area on the chart indicates that further detail is available on a second version
of the chart immediately following the current page.
Strong and growing position
Cluster is growing faster
The region’ share
of cluster employment Strong and growing
position
than the US average
relative to its size
39 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Specialization by Subcluster
Strong and growing position
Subcluster is growing faster than average for the cluster
High share of national employment relative to average for the cluster
Strongest and fastest growing positions
The specialization by subcluster chart is interpreted similarly to the specialization chart for all traded clusters.
Additional insight on particular cluster strengths and trends in cluster composition can be observed.
Please note that only one or a few subcluster charts were included in this report. Specialization charts and
other data for all subclusters are available online at the Cluster Mapping Project reached from
www.isc.hbs.edu.
40 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Job Creation by Traded Cluster
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
This chart shows the overall net change in traded jobs in the state over the period from 1998 to 2008 and the
net gain or loss by traded cluster. The clusters are arranged in order of net jobs created. The blue bars
provide benchmarks for job creation based upon rates of growth in the cluster throughout the U.S.
Interpretation:
This chart allows a state to identify its biggest job generators and job losers among traded clusters over the
last decade. A few clusters often account for a large majority of the overall employment gain. Clusters with
job losses are a cause for concern. It is helpful to compare job performance with the policy priorities a region
has set.
Comparison of job growth relative to the U.S. benchmarks provides insights into the strengths and
weaknesses in the region’s economy and shifts in the region’s competitive position. A region might not be
participating in a cluster which is surging nation-wide; or a region might be gaining market position in an
important cluster.
41 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Wages by Traded Cluster
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
The state’s clusters are listed in order by average wage. The yellow bars show the benchmark average
wage for the cluster nationally. The average wage across all traded clusters in the region is indicated by the
green dashed line.
Wages are a direct measure of a cluster’s productivity and competitiveness. Clusters that are exceptionally
productive (the value of output produced per unit of labor) can sustain higher wages.
Note: The wages for some clusters may not be reported due to data suppression in the underlying
government reports. When few employers in an industry are present in a given region, wage and precise
employment figures are omitted to protect the confidentiality of the data.
Benchmark lines provide a comparison to wages in the cluster across the U.S.
42 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Employment in Highest Wage Clusters
The ten highest wage traded clusters in the state are shown in decreasing order, with the width of the
columns proportional to the number of workers in each cluster. The area of each cluster is thus equivalent to
the overall wage sum the cluster generated in the state.
The chart displays how the average wage in the state’s traded clusters is built up by highest
wage clusters. Some high wage clusters may have a small impact on overall wage levels because of their
small size, the case in some high wage clusters. Some large, high wage clusters are often those in services.
The comparison to the U.S. average wages by cluster (on the previous chart) gives an initial benchmark to
evaluate the composition of average wages in the state economy. States can increase wages in two different
ways: (1) increase the employment in high wage clusters relative to low wage clusters and/or (2) increase
the state’s relative wages in given clusters. In practice, the second effect dominates as the explanation for
why state wages differ.
43 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Cluster Portfolio
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
Cluster Linkages
Our research on clusters, in addition to deriving a model of 41 distinct traded clusters, provides a measure
for the the strength of the links between these traded clusters. The strength of these links is summarized
visually in the portfolio diagram below by the relative positioning and overlapping of cluster circles.
Location Quotient (LQ)
The Location Quotient is a ratio measure of the concentration of a cluster in a state relative to that state’s
average share of employment in the U.S. traded economy. So, LQ is a measure of a cluster's level of
concentration within a state, with an LQ > 1 indicating higher than average concentration in that state.
Interpretation
Using Location Quotient as the measure of cluster concentration in the state, we overlay the state’s cluster
portfolio on the model of cluster linkages with three color levels as below. The pattern of a state’s portfolio
relative to the cluster linkages will often indicate paths of opportunity for development in clusters.
44 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Top Subclusters by National Employment Share
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
This chart selects the sub-clusters in the region with the highest National Employment Shares. The
subclusters are grouped by cluster and ordered by subcluster National Employment Share.
Sub-clusters with a high share of national employment may form the basis for developing a competitive
position in a cluster. Strengths in a breadth of related sub-clusters are an indication of an established
position in a cluster.
45 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Patents by Organization
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
This table lists by organization the top patent recipients in the region for the most recent five-year
period. Patents are assigned to regions according to the inventor’s address of residence. In the case of
multiple inventors from different locations, the patent is assigned fractionally to each region. Universities and
research institutes are highlighted in blue and government agencies in green.
Interpretation:
Patenting is the best single measure of innovation output. States and regions with a healthy level of
innovation tend to have patents originating from a variety of corporations across a number of fields as well as
significant patenting from universities and research institutes. Concerns about innovative capacity arise
when the patenting rate is low, patents originate principally from a government agency, or patenting is
dominated by only a few large firms.
Defining the Appropriate Region Massachusetts in BEA Economic Areas
46 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
A Note on Regions
The political boundaries of a state often encompass many distinct regional economies or portions of
larger regional economies. A comprehensive approach to economic development should reflect both the
distinct economies within a state as well as the often strong linkages to economies in neighboring states.
The map on the following page shows the intersection of the state with the Economic Areas defined by
the U.S. Bureau of Economic Analysis (BEA.) We find that the Economic Areas are a very meaningful unit of
geography for exploring the specialization and linkages in the U.S. economy. BEA's 179 economic areas
cover the entire U.S. and define the relevant regional markets surrounding metropolitan or micropolitan
statistical areas. They consist of one or more economic nodes - metropolitan or micropolitan statistical areas
that serve as regional centers of economic activity - and the surrounding counties that are economically
related to the nodes.
Please note that while this report has focused exclusively on the state, the website of the Cluster
Mapping Project reached from www.isc.hbs.edu provides similar data and analyses for all Economic Areas
(and Metropolitan Areas) in the U.S.
Note: There are 177 Economic Areas in the continental U.S. and one each for Alaska and Hawaii.
47 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Defining the Appropriate Region New Mexico in BEA Economic Areas
Source: Prof. Michael E. Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Richard Bryden, Project Director.
Data from Bureau of Economic Analysis 2010.
Santa Fe-Espanola, NM
Albuquerque, NM
Farmington, NM
Amarillo, TX
Pueblo, CO
El Paso, TX
Midland-Odessa, TX
Phoenix-Mesa-Scottsdale, AZ
48 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
Traded Clusters and Subclusters in the US Economy
See http://www.isc.hbs.edu/cmp/help.html for Excel listing.
Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
Aerospace Engines Chemical Products Furniture M etal M anufacturing Processed FoodAircraf t Engines Int ermediat e Chemicals and Gases Furnit ure Fabricat ed Met al Product s Milk and Frozen Dessert s
Precision Met al Product s Packaged Chemical Product s Wood Mat erials and Product s Met al Alloys Baked Packaged Foods
Ot her Processed Chemicals Furnishings Primary Met al Product s Cof f ee
Aerospace Vehicles and Defense Ref ract or ies Tableware and Kit chenware Precision Met al Product s Processed Dairy and Relat ed Product s
Aircraf t Leat her Tanning and Finishing Fast eners Meat and Relat ed Product s and Services
Missiles and Space Vehicles Ammunit ion Heavy Construction Services Wire and Springs Flour
Def ense Equipment Special Packaging Final Const ruct ion Met al Processing Specialt y Foods and Ingredient s
Treat ed Garment s Subcont ract ors Iron and St eel Mills and Foundries Milling
Agricultural Products Primary Const ruct ion Mat erials Nonf errous Mills and Foundries Candy and Chocolat e
Farm Management and Relat ed Services Communications Equipment CeramicTile Met al Furnit ure Malt Beverages
Soil Preparat ion Services Communicat ions Equipment Equipment Dist r ibut ion and Wholesaling Environment al Cont rols Paper Cont ainers and Boxes
Irr igat ion Syst ems Elect r ical and Elect ronic Component s Fabricat ed Met al St ruct ures and Piping Pumps Met al and Glass Cont ainers
Packaging Specialt y Of f ice Machines Explosives Saw Blades and Handsaws Food Product s Machinery
Fert ilizers General Indust r ial Machinery
Agricult ural Product s Construction M aterials Heavy M achinery Laundry and Cleaning Equipment Production TechnologyWine and Brandy Tile, Brick and Glass Const ruct ion Machinery Met al Armament s Machine Tools and Accessories
Cigars Plumbing Fixt ures Farm Machinery Process Equipment Sub-syst ems and Component s
Milling and Ref ining Wood Product s Railroad Equipment and Rent al M otor Driven Products Hoist s and Cranes
Cut and Crushed St one Mining Machinery Mot ors and Generat ors Process Machinery
Analytical Instruments Gum and Wood Chemicals Machinery Component s Bat t er ies Indust r ial Pat t erns
Laborat ory Inst rument s Rubber Product s Valves and Pipe Fit t ings Mot orized Equipment Fabricat ed Plat e Work
Opt ical Inst rument s Ref r igerat ion and Heat ing Equipment Indust r ial Trucks and Tract ors
Process Inst rument s Distribution Services Hospitality and Tourism Appliances Ball and Roller Bearings
Search and Navigat ion Equipment Merchandise Wholesaling Tourism At t ract ions Specialized Pumps
Elect ronic Component s Apparel and Accessories Wholesaling Tourism Relat ed Services Specialized Machinery Publishing and PrintingCat alog and Mail-order Wat er Passenger Transport at ion Tires and Inner Tubes Publishing
Apparel Food Product s Wholesaling Accommodat ions and Relat ed Services News Syndicat es
Men's Clot hing Farm Mat erial and Supplies Wholesaling Boat Relat ed Services Oil and Gas Products and Services Signs and Advert ising Specialt ies
Women's and Children's Clot hing Transport at ion Vehicle and Equipment Dist r ibut ion Ground Transport at ion Oil and Gas Machinery Phot ographic Services
Hosiery and Ot her Garment s Hydrocarbons Phot ographic Equipment and Supplies
Accessories Education and Knowledge Creation Information Technology Oil and Gas Explorat ion and Drilling Radio, TV, Publisher Represent at ives
Knit t ing and Finishing Mills Educat ional Inst it ut ions Comput ers Oil Pipelines Print ing Services
Research Organizat ions Elect ronic Component s and Assemblies Pet roleum Processing Print ing Input s
Automotive Educat ional Facilit ies Peripherals Oil and Gas Trading Paper Product s
Mot or Vehicles Pat ent Owners and Lessors Sof t ware Wat er Freight Transport at ion Services Specialt y Paper Product s
Aut omot ive Part s Supplies Communicat ions Services Inked Paper and Ribbons
Aut omot ive Component s Plastics Of f ice Equipment and Supplies
Forgings and St ampings Entertainment Jewelry and Precious M etals Plast ic Mat erials and Resins
Flat Glass Video Product ion and Dist r ibut ion Jewelry and Precious Met al Product s Plast ic Product s Sporting, Recreational and Children's GoodsProduct ion Equipment Recorded Product s Cost ume jewelry Paint s and Allied Product s Sport ing and At hlet ic Goods
Small Vehicles and Trailers Ent ert ainment Equipment Cut lery Synt het ic Rubber Games, Toys, and Children's Vehicles
Ent ert ainment Relat ed Services Collect ibles Mot orcycles and Bicycles
Biopharmaceuticals Ent ert ainment Venues Power Generation and TransmissionBiopharmaceut ical Product s Leather and Related Products Elect r ic Services TextilesHealt h and Beaut y Product s Financial Services Leat her product s Turbines and Turbine Generat ors Fabric Mills
Cont ainers Deposit ory Inst it ut ions Fur Goods Transf ormers Specialt y Fabric Mills
Securit ies Brokers, Dealers and Exchanges Coat ed Fabrics Porcelain, Carbon and Graphit e Component s Specialt y Fabric Processing
Building Fixtures, Equipment and Services Insurance Product s Relat ed Product s Elect ronic Capacit ors Text ile Machinery
Plumbing Product s Healt h Plans Accessories Yarn and Thread Mills
Drapery Hardware Risk Capit al Providers Prefabricated Enclosures Carpet s and Rugs
Fabricat ed Mat erials Invest ment Funds Lighting and Electrical Equipment Recreat ional Vehicles and Part s Wool Mills
Heat ing and Light ing Real Est at e Invest ment Trust s Light ing Fixt ures Mobile Homes Fibers
Furnit ure and Fit t ings Passenger Car Leasing Elect r ic Lamps Trucks and Trailers Finishing Plant s
Clay and Vit reous Product s Bat t er ies Casket s Specialt y Apparel Component s
Floor Coverings Fishing and Fishing Products Swit chgear Elevat ors and Moving St airways Women's and Children's Underwear
St eam and Air-condit ioning Fish Product s Elect r ical Part s Of f ice Furnit ure Tire Cord and Fabrics
St one and Tile Work Fishing and Hunt ing Met al Part s Household Ref r igerat ors and Freezers
Wood Cabinet s, Fixt ures and Ot her Product s Processed Seaf oods Aluminum Processing TobaccoConcret e, Gypsum and Ot her Building Product s M edical Devices Cigaret t es
Footwear Surgical Inst rument s and Supplies Ot her Tobacco Product s
Business Services Foot wear Dent al Inst rument s and Supplies Tobacco Processing
Management Consult ing Specialt y Foot wear Opht halmic Goods Specialt y Packaging
Online Inf ormat ion Services Foot wear Part s Medical Equipment
Comput er Services Diagnost ic Subst ances Transportation and LogisticsComput er Programming Forest Products Biological Product s Air Transport at ion
Phot ocopying Paper Product s Bus Transport at ion
Market ing Relat ed Services Paper Mills Marine Transport at ion
Prof essional Organizat ions and Services Paper Indust r ies Machinery Ship Building
Engineering Services Pref abricat ed Wood Buildings Transport at ion Arrangement and Warehousing
Laundry Services Wood Part it ions and Fixt ures Trucking Terminal
Facilit ies Support Services Airport s
Bus Terminals
49 NGA 2011 – New Mexico– Rich Bryden Copyright © 2011 Professor Michael E. Porter
About This Report
This report was prepared in conjunction with Prof. Michael E. Porter’s presentation before the National
Governors Association Winter Meeting on February 26, 2011. It draws on data and analysis from the Cluster
Mapping Project and other sources at the Institute for Strategy and Competitiveness, Harvard Business
School; Richard Bryden, Project Director. Additional information may be found at the website of the Institute
for Strategy and Competitiveness, www.isc.hbs.edu. None of this information may be duplicated,
disseminated or copied without express written consent from the Institute for Strategy and Competitiveness.
This report is available electronically at http://www.isc.hbs.edu/stateprofiles.htm.