This Could Be the Start of Something Big: Looking for the...
Transcript of This Could Be the Start of Something Big: Looking for the...
Manuel Pastor 1/11/2011
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This Could Be the Start of Something Big:
Looking for the New America
Manuel Pastor
January 2011January 2011
La Conyuntura vs. the Long-run
We tend to think about short-term politics and economicspolitics and economics . . .
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La Conyuntura vs. the Long-run
We tend to think about short-term politics and economicspolitics and economics . . .
La Conyuntura vs. the Long-run
We tend to think about short-term politics and economicspolitics and economics . . .
. . . But we better look long-term as well.
If we do, three trends –demographic change, economic transition, and shifting nature of leadership – stand out as key
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Change is Gonna Come . . .
Leading the U.S. in Demographic ChangeCalifornia's Changing Demographics, 1980-2000
5.3% 9.2%11.3%90%
100%
67 1%
7.5%
7.0%
6.5%
19.4%
26.0%
32.6%
40%
50%
60%
70%
80%
67.1%57.2%
47.1%
0%
10%
20%
30%
1980 1990 2000
Anglo African American Latino Asian Pacific Other
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Immigration as a Factor
And currently . . .
Immigrants are:
• One in three L.A. County residents
• 46 percent of the LA County workforce
• Children of immigrants are 64 t f ll LA C t hildpercent of all LA County children
• Of the children of immigrant parents, nearly ninety percent are US citizens
Source: PERE analysis of 2006 ACS data
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Foreign Born Population by Census Tract
Ancestry & Migration
Chinese, 5.0%
Filipino, 4.8%
Other, 3.3%
Migrated Over 30 Years AgoLos Angeles County
Other Latin American, 11.6%
Western European, 9.7%
Korean, 3.2%
Salvadoran, 3.1%
Other Eastern European, 2.9%
Guatemalan, 1.8%Japanese, 1.7%
Armenian, 1.5%
Other Asian, 1.4%
Asian Indian, 1.0%
Other Middle Eastern, 1.0%Other, 8.5%
Source: PERE analysis of 2005 and 2006 ACS data
Mexican, 44.6%
Vietnamese, 0.9%
Iranian, 0.9%
African, 0.6%
Russian, 0.6%Taiwanese, 0.4%
South Asian, 0.2%
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Ancestry & Migration
Korean, 6.0%
Guatemalan, 5.3%
Salvadoran, 4.8%
A i 3 4%
Migrated within the Last 10 YearsLos Angeles County
Other Latin
Filipino, 7.1%
Chinese, 7.1%
Korean, 6.0% Armenian, 3.4%
Other, 3.3%
Western European, 2.7%
Asian Indian, 2.5%
Japanese, 2.1%
Other Asian, 1.9%
African, 1.6%
Iranian, 1.4%
Other Eastern Other, 14.0%
Source: PERE analysis of 2005 and 2006 ACS data
Mexican, 36.3%
American, 9.5% European, 1.4%
Other Middle Eastern, 1.3%
Vietnamese, 1.2%
Russian, 1.2%
Taiwanese, 1.0%South Asian, 0.9%
Ancestry & Migration
Korean, 6.0%
Guatemalan, 5.3%
Salvadoran, 4.8%
A i 3 4%
Migrated within the Last 10 YearsLos Angeles County
Other Latin
Filipino, 7.1%
Chinese, 7.1%
Korean, 6.0% Armenian, 3.4%
Other, 3.3%
Western European, 2.7%
Asian Indian, 2.5%
Japanese, 2.1%
Other Asian, 1.9%
African, 1.6%
Iranian, 1.4%
Other Eastern Other, 14.0%
Source: PERE analysis of 2005 and 2006 ACS data
Mexican, 36.3%
American, 9.5% European, 1.4%
Other Middle Eastern, 1.3%
Vietnamese, 1.2%
Russian, 1.2%
Taiwanese, 1.0%South Asian, 0.9%
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Ancestry & Migration
Chinese, 7.1% Korean, 6.0%
Guatemalan, 5.3%
Salvadoran, 4.8%
A i 3 4%
Migrated within the Last 10 YearsLos Angeles County
Other Latin
Filipino, 7.1%
Armenian, 3.4%
Other, 3.3%
Western European, 2.7%
Asian Indian, 2.5%
Japanese, 2.1%
Other Asian, 1.9%
African, 1.6%
Iranian, 1.4%
Other Eastern Other, 14.0%
Source: PERE analysis of 2005 and 2006 ACS data
Mexican, 36.3%
American, 9.5% European, 1.4%
Other Middle Eastern, 1.3%
Vietnamese, 1.2%
Russian, 1.2%
Taiwanese, 1.0%South Asian, 0.9%
Ancestry & Migration
Korean, 6.0% Guatemalan, 5.3%Salvadoran, 4.8% Armenian, 3.4%
Migrated within the Last 10 YearsLos Angeles County
Other Latin
Filipino, 7.1%
Chinese, 7.1%
Other, 3.3%
Western European, 2.7%
Asian Indian, 2.5%
Japanese, 2.1%
Other Asian, 1.9%
African, 1.6%
Iranian, 1.4%
Other Eastern Other, 14.0%
Source: PERE analysis of 2005 and 2006 ACS data
Mexican, 36.3%
American, 9.5% European, 1.4%
Other Middle Eastern, 1.3%
Vietnamese, 1.2%
Russian, 1.2%
Taiwanese, 1.0%South Asian, 0.9%
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Ancestry & Migration
Korean, 6.0%Guatemalan, 5.3%
Salvadoran, 4.8% Armenian, 3.4%
Migrated within the Last 10 YearsLos Angeles County
Other Latin
Filipino, 7.1%
Chinese, 7.1%
Other, 3.3%Western
European, 2.7%
Asian Indian, 2.5%
Japanese, 2.1%
Other Asian, 1.9%
African, 1.6%
Iranian, 1.4%
Other Eastern Other, 14.0%
Source: PERE analysis of 2005 and 2006 ACS data
Mexican, 36.3%
American, 9.5% European, 1.4%
Other Middle Eastern, 1.3%
Vietnamese, 1.2%
Russian, 1.2%
Taiwanese, 1.0%South Asian, 0.9%
Los AngelesGlendale
South Central Area: Overview
Inglewood
Glendale
Montebello
South Central
Compton
Santa Ana
Long Beach
N
Scale equals: 1 to 450,000d:/data/GISCA/scag_js_02.apr - field: 2000 counties - view: South Central - layout: SouthCentral_overview
County Boundaries
Los Angeles City Boundaries
South Central Area Boundaries
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South Central High School Demographics 1981-1982 School Year
7% 10%
31%
7%2%1% 1%1%2%
99%91% 90%
98%93%
42%
57%
68%
Crenshaw Washington Prep Jefferson Jordan Locke Manual Arts Fremont
OtherLatinoAfrican American
30%
1% 1%
South Central High School Demographics 2004-2005 School Year
44%
92%
80% 80%88%
63%
70%
55%
7%
20%
37%
20%12%
Crenshaw Washington Prep Jefferson Jordan Locke Manual Arts Fremont
OtherLatinoAfrican American
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San Diego
San Diego
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San Diego
San Diego
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San Diego
San Diego
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California Looking Forward, 2000-2050California Demographic Projections, California Department of Finance
6.5% 6.7% 6.7% 6.6% 6.5% 6.4%90%
100%
Multirace
32.6%
38.7%43.0%
46.8% 50.4% 53.6%
11.0% 12.0% 12.7% 12.8% 12.5% 12.1%
40%
50%
60%
70%
80%
nt
of
To
tal
Po
pu
lati
on
American Indian
Black
Pacific Islander
Asian
47.1%39.2%
33.7%29.5%
26.1% 23.3%
0%
10%
20%
30%
2000 2010 2020 2030 2040 2050
Year
Per
cen
Hispanic
White
California Looking Forward, 2000-2050California Demographic Projections, California Department of Finance
60,000,000
Multirace
30,000,000
40,000,000
50,000,000
To
tal
Po
pu
lati
on
American Indian
Black
Pacific Islander
Asian
0
10,000,000
20,000,000
2000 2010 2020 2030 2040 2050
Year
T
Hispanic
White
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The Future is Now . . .
90%
100%
Ethnic Composition by Age for California, 2008
40%
50%
60%
70%
80%
Other or Mixed Race
0%
10%
20%
30%
0‐18 18‐39 40‐64 >65
Asian Pacific
Latino
African American
Non‐Hispanic White
The Future is Now . . .
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Demographics and State Capital Spending Adjusted for Income250
cap
ita
As Is the Underinvestment . . .
100
150
200
nd
ing
cap
ital
ou
tlay
s ad
just
ed f
or
per
ce
(100
= a
vera
ge
of
U.S
. sta
tes)
0
50
0% 5% 10% 15% 20% 25% 30% 35% 40%
percent age/ethnic difference
Per
cap
ita
stat
e sp
enin
com
e
Demography and Economic Inclusion
Dramatic crack in the economy, with significant policy attentionwith significant policy attention to the Great Recession
With skyrocketing unemployment, foreclosures and budget issues, the short-term focus makes sense
But looking long-term, another set of worries emerges around the distribution of opportunity
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The Challenge of Inequality . . .
25%
Income Distribution in the U.S., 1917‐2007
10%
15%
20%
percent of income
0%
5%
1917
1920
1923
1926
1929
1932
1935
1938
1941
1944
1947
1950
1953
1956
1959
1962
1965
1968
1971
1974
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
Top 1% (incomes above $398,900 in 2007)
Top 5‐1% (incomes between $155,400 and $398,900)
Top 10‐5% (incomes between $109,600 and $155,400)
Source: Emmanuel Saez, Striking It Richer: The Evolution of Top Incomes in the United States (Update : August 5, 2009).
The Challenge of Inequality . . .
$80 000
$90,000
Figure 3‐1. U.S. Resident Median Family Income 1947‐2007(in 2007 Dollars)
$40,000
$50,000
$60,000
$70,000
$80,000
Latino
Asian and Pacif ic Islander
White
Non-Hispanic White
$0
$10,000
$20,000
$30,000
1947 1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 2002 2007
Black
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Putting It Together
Unequal Unequal
Deregulated
Disconnected
So the new story emerging in our book: equity is key to growth
What’s the Evidence?
Utilizing weighted regression approach to 341 metro areas in the U.S. 1990-2000
P it i f ti fPer capita income as a function of:(+)regional education
(-) manufacturing concentration
(+)central city presence
(-) previous income
(?)region of U S(?)region of U.S.
(-) measure of inequity, including ratio of city to suburb poverty, concentration of poverty, income distribution, black-white segregation
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And From the Federal Reserve
Federal Reserve of Cleveland studies almost 120 mid-size regionsstudies almost 120 mid size regions, looking for factors that predict regional prosperity
Usual suspects: skilled workforce, quality of life, industrial decline
Unusual suspects: income inequality, racial exclusion, concentration of poverty – and they’re highly significant
It’s a Broader Story
Underinvestment in each other makes us less competitive as a nation
Social tensions over who Social tensions over who will gain and who will lose make us less likely to cohere on what we need to do to thrive
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And a Broader Conversation
We set out in the book to generate a catalog of best practices for
But when we talked to leaders, the conversation was not about zoning regs, tax-sharing, or policy per se
combining equity & economic growth
Instead, it was about reframing a local and national conversation about social equity and who we are as a people, a region, a country
Metros offer new scale for doing well and doing good, fusing competitive-
Starting at Home . . .
good, fusing competitiveness and inclusion
Configuration of metropolitan space and opportunity has become center – from racial justice to spatial justicejustice to spatial justice
Metros offer new opportunities to bridge difference face-to-face, race-to-race, space-to-space
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Leadership and Governance
Need to rethink our cherished beliefs
Need to innovate not just for efficiency but for effectiveness
Need to think about inside and outside skills and strategies
efficiency but for effectiveness
Need to govern not manage & lead by example not position
How Do We Lead in These Times?
Understanding the distinction between diversity – and justice
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How Do We Lead in These Times?
Understanding the distinction between diversity and justice
Understanding the importance of policy, advocacy and organizing
How Do We Lead in These Times?
Understanding the distinction between diversity and justice
Understanding the importance of policy, advocacy and organizing
Understanding the need for unexpected alliances, and new collaborations
Understanding that collaboration and conflict can go together
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Can We Meet Our Challenges?
Can We Meet Our Challenges?