chapter 5: returning to labor, capital, land & technical skills how important are these factors...
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Chapter 5: returning to labor, capital, land & technical skills
• How important are these factors in the cost of production?
• What are key variations spatially• How does scale affect our view of these
issues?• Going beyond the text: the issues raised in
this chapter are fundamental to consideration of economic activity for the rest of the quarter
Labor
How important is labor as a location factor for manufacturers?
Lloyd & Dicken – my old textbook: Production workers 25% of value added, All labor 46% of value added
What is value added?
Value added = value of shipments - cost of goods sold
An Example of Value Added: Margi Beyers Pizza/Bread Stone
Wholesale: $16.
Less:
Cost of clay $ 4
Cost of glaze $ 1
Cost of energy $ 2.50
Other overhead (labels) .50
Transport Cost (Raw Material
+ Delivery .50
Capital Charges (kiln, equipment) 1.00
Subtotal $9.50
Value Added $16 - $9.50 $6.50
Wages/VA
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45
Petroleum and coal products
Beverage and tobacco products
Chemical
Food
Paper
Primary metal
Computer and electronic products
Nonmetallic mineral products
Textile product mills
Miscellaneous
Electrical equipment, appliance, and component
Apparel
Transportation equipment
Plastics and rubber products
Textile mills
Machinery
Leather and allied products
Fabricated metal products
Furniture and related products
Wood products
Printing and related support activities
Wages/VA
Wages per dollarof value added
Average = .26
Wages/Shipments
0 0.05 0.1 0.15 0.2 0.25 0.3
Printing and related support activities
Furniture and related products
Fabricated metal products
Miscellaneous
Leather and allied products
Apparel
Wood products
Machinery
Nonmetallic mineral products
Computer and electronic products
Plastics and rubber products
Textile mills
Electrical equipment, appliance, and component
Textile product mills
Paper
Transportation equipment
Primary metal
Food
Chemical
Beverage and tobacco products
Petroleum and coal products
Wages/Shipments
Wages per dollarof shipment
Average = 12%
Production/Total
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Textile mills
Wood products
Primary metal
Textile product mills
Plastics and rubber products
Furniture and related products
Nonmetallic mineral products
Paper
Apparel
Leather and allied products
Food
Fabricated metal products
Transportation equipment
Printing and related support activities
Electrical equipment, appliance, and component
Petroleum and coal products
Machinery
Miscellaneous
Beverage and tobacco products
Chemical
Computer and electronic products
Production/Total
Production workers asa proportion of total Employment
Average = 71%
Labor Costs among regions Production work pay/hour $6.68 to $12.34 in 1983
In 1997 - Low $9.96 South Dakota
- Mean $13.17
- High $17.17 Michigan
• Classic view of wage rate equilibrium:$
QAQB
D
DS
SWA
S
S
D
D
WB
In 2011Low $18.13In Mississippi
High $35.45In D.C., $28.24 in Connecticut
United States (AK & HI Inset)by Column B
17.9 to 25.3 (12)15 to 17.9 (10)
9.9 to 15 (8)8.1 to 9.9 (9)3.2 to 8.1 (12)
1999 Percent Union Members
U.S. Average = 13.9% of Wage & Salary Workers
** *
*
*
**
*
**
**
*
*
**
*
**
* *
* Right towork states
Evidence on Regional Wage Rate Convergence
•Historic movement of blacks from the South to the Industrial North
•Mexican migration into the U.S. today
•Internal movement in the U.S.: job pull
for $?
• Producers ability to move capacity to cheap labor - U.S. shoes, textiles
Social, Environmental
Weber’s Analysis of Low Cost Labor
M1
M2
M3
C
L
W
At W labor costs are $5 per unit output below LIsodapanes - contours of transport cost increase away from L
1 2.5
4
5
Critical Isodapane -Tr. Cost = Labor CostDifferential
Hong Kong Employment Trends
0
200
400
600
800
1000
1200
Job
s in
Th
ou
san
ds
Mining & quarrying
Manufacturing
Electricity & Gas
Construction Sites
Wholesale & retail
Transport, Storage,Communications
F.I.R.E. & BusinessServices
Community & SocialServices
Public Sector
Unionization Rates & Labor Cost Differences
A falling percentage over time:
1983 20.1%
1991 16.1%
1999 13.9%
2007 12.1%
Wage Rates above Non-Union
2006 $23.33 per hour - union
2006 $18.53/week - nonunion
Labor Costs Versus Labor Productivity/Skill as a Factor in Regional Development
Washington State Investment In Human Capital Study
% of companies dissatisfied with employee skills:
(1) Basic- ca. 35%; communication ca. 40%, problem-
solving 48%, work habits - 42%
(2) Educational - difficulty in finding employees:
basic skills below high school: 38%, high school 56%,
job related specialized skills 86%, liberal arts degree 59%,
advanced degree 67%.
(3) Key needs - in Training Programs, and in types of
training provided.
Local Examples of Labor Force Programs
•Washington State Workforce Board
• Puget Sound Regional Council Prosperity Partnership
• WorkSource Oregon
•Idaho Workforce Development Training Program
Geographer’s New Views of Labor and Regional Advantage
• Storper’s vision of “untraded interdependencies” as regional assets
• Economic Sociology:
- Institutionalism; embeddedness; structure and social reproduction; networks; other key factors?
Thomas Friedman – NYT Reporter
• Advocate of globalization, but also the need for labor force development here in the U.S. in the face of this trend
• His recent book was on the NYT best-seller list
• He editorialize for support for an ex-M.I.T. president-headed report called “Rising Above the Gathering Storm.”
Link: www.nationalacademies.org
Friedman’s Ten Flatteners:•Outsourcing•Offshoring•Open- Sourcing•Insourcing•Supply Chaining•In-forming (search engines)•The Internet•Fall of the Berlin Wall•Netscape’s Public Offering•Work Flow Software•The Steroids (Digital, Mobile, Personal and Virtual)
He argues together they have allowed unparalleled collaboration
Friedman Concludes about the U.S.: “The flattening of the world is moving ahead apace, and barring war or some catastrophic terrorist event, nothing is going to stop it. But what can happen is a decline in our standard of living, if more Americans are not empowered and educated to participate in a world where all the knowledge centers are being connected. We have within our society all the ingredients for American individuals to thrive in this world, but if we squander those ingredients, we will stagnate.” (Friedman 2005, pp. 305-306).
• Clearly, offshoring business services is intimately tied to
other ongoing forms of restructuring• It provides challenges and opportunities for advanced
economies as well as developing countries• There are significant research opportunities• There are also many policy challenges
Capital Sources: Startup versus Later in Firm LifeStartup: Personal Sources, “mattress money,” “Business Angels,” Venture capital, IPO’s, and business loans
After Startup: Internal retention of profit, (further) stock offerings
reliance on formal capital markets
Selling out, being acquired to obtain capital
for expansion
The Circular Model of Capital Flow
Stock of ProductiveCapacity
IndustrialOutput
BusinessIncome(Value Added)
Payments toHouseholds
Final ConsumerDemand
“Savings”
Investment
“Savings” - retained earnings, household savings, institutionalinvestors, international capital sources
•Interest rates•Tax policy & public investment
U.S. Capital Investment Trends
2006 Capital Stock Per Employee$0 $200,000 $400,000 $600,000 $800,000 $1,000,000 $1,200,000
Furniture
Wood Products
Apparel and leather
Printing
Miscellaneous
Febricated Metals
Plastics and rubber
Electrical equipment
Textiles
Food, beverage and tobacco
Transportation Equipment
Nonmetallic Mineral products
Machinery
Paper
Computer and electronic products
Primary metals
Chemicals
Petroleum
Mean: $149,776
Manufacturing Capital and Wages Per Worker 2006
$0
$200,000
$400,000
$600,000
$800,000
$1,000,000
$1,200,000
$1,400,000
Fu
rnit
ure
Wo
od
Pro
du
cts
Ap
par
el a
nd
lea
ther
Pri
nti
ng
Mis
cell
aneo
us
Feb
rica
ted
Met
als
Pla
stic
s an
d r
ub
ber
Ele
ctri
cal
equ
ipm
ent
Tex
tile
s
Fo
od
, b
ever
age
and
tob
acco
Tra
nsp
ort
atio
n E
qu
ipm
ent
No
nm
etal
lic
Min
eral
pro
du
cts
Mac
hin
ery
Pap
er
Co
mp
ute
r an
d e
lect
ron
icp
rod
uct
s
Pri
mar
y m
etal
s
Ch
emic
als
Pet
role
um
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
$80,000
$90,000
Capital/Worker
Earnings/worker
Net Stock Private Fixed Assets Per Employee - 2007
0 500000 1000000 1500000 2000000 2500000 3000000
Farm employment
Forestry, fishing
Mining
Utilities
Construction
Manufacturing
Wholesale trade
Retail trade
Transportation and warehousing
Information
Finance and insurance
Real estate and rental and leasing
Professional, scientific, and technical services
Management of companies and enterprises
Administrative and waste services
Educational services
Health care and social assistance
Arts, entertainment, and recreation
Accommodation and food services
Other services, except public administration
Manufaturers' Ratio of Inventories to Shipments
0
0.5
1
1.5
2
2.5
1965 1970 1975 1980 1985 1990 1995 2000
Evidence of long-term reductions in capital tied up in inventoriesdue to better logistics in the product delivery system
Manufacturers’ Ratio of Inventories to Shipments
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Impact of theGreat Recession
Regional Differences in the Availability of Capital
QAQB
Interest Rate
DA
SA
DBSB
Capital Flows respond to interregional/international variations in interest rates, but:
1. Lender conservatism2. Institutional impediments3. Structural differences
Capital Mobility• Immobility of physical capital
• High level (potentially) of mobility for monetary capital, but:
(A) institutional impediments - nations, trading blocs, currencies
(B) industrial differences - firm size, age,
business concept
(C) public policies - incentives such as tax write-offs, lower interest rates
(D) new forms of integration (IT networks),
new types of securitization (e.g. REIT’s) & use of Modern Portfolio Theory
Spatial Variations in the Cost of Capital
• Historic fragmentation of capital markets
• Much more integration now, but still:A: “herding and fleeing” in commercial real estate markets
B: internationalization of markets yet institutional/cultural variations in practices
C: changes in investor culture: IPO’s & .com
phenomena
Managerial and Technical Skills:Corporate Headquarters
• The concentration of these in a few very large cities
• Synergistic interactions at the top of the corporate hierarchy
• Decentralization of these headquarters
• Structural relationship between headquarters location and location of R&D facilities – historic geographic co-location
Borchert’s Changes
in Industrial
Headquarters
Patents As Indicators of Technical Knowledge Effort
Change in State Level Distribution of Patents
Distribution in cities has gotten more unequal inrecent years, largely due tobig changes in the West.
The big gainers have beenDriven by Boise,Rochester NY, Austin-San Marcos, Burlington,Ft. Collins-Loveland, And Rochester MN
Technical Knowledge
•Fundamental to any type of production system
•Constantly changing - Schumpeter’s view of the “process of creative destruction” -
– invention: autonomous vs. induced– innovation: widespread adoption of inventions– product versus process change
•The R&D Process in manufacturing–patents as indicators of success at invention
2008 U.S. R&D Sources of Funds
Source: Statistical Abstract of the United States 2012
Fed. Govt26%
Industry67%
Univ/College3%
Non-Profit3%
Non-Fed Govt.1%
Historic Sources of R&D – U.S.0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
Fed. Govt
Industry
Univ/College
Non-Profit
Non-Fed Govt.
R&D Objective Use of Funds 2008
Source: Statistical Abstract of the United States 2012
Defense Related
15%
Space Related
1%
Other84%
Use of R&D Funds – U.S.
0% 20% 40% 60% 80% 100%
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
Defense related
Space related
Other
Composition of R&D Effort 2008
Source: Statistical Abstract of the United States 2012
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Federal
Industry
Universities & Colleges
Other Non-profits
Basic Research
Applied Research
Development
Performance Sector, R& D United States 1999
Source: Statistical Abstract of the United States, 2000
Federal
Industry-Federal
Industry-Industry
Industry FFRDC
University-Federal
University-NonFed Govt
University-Industry
University-University
University-Nonprofits
University FFRDC
NonProfit-Federal
NonProfit-Industry
NonProfit-FFRDC
Nonprofit FFRDC
67.1%
7%
8.1%
University 13.9%
N.P2.6%
Performance Sector R&D U.S. 2008
Source: Statistical Abstract of the United States 2012
6%
6%
85%
0%
0%0%0%
0% 0% 1%0%
1%
0%
1%
Federal
Industry-Federal
Industry-Industry
Industry FFRDC
University-Federal
University-nonfederal
University-Industry
University-University
University-Nonprofit
University-FFRDC
OtherNP-Federal
Other NP Industry
Other NP - Nonprofit
Nonprofit FFRDC
Washington R&D by Users of Funds
Source: NSF 2012 D – data not disclosed NA – data not available for this yearIndexed ranks are against Gross State Product, which controls size of state economies
Performer and Sources of Funds $ Millions 2008 Rank $
Used 2008 Rank
Indexed
2000 Rank $
Used
1993 Rank $
Used United States Sources: Total Used $16,696 5 6 8 11 A. Federal Government: Total Used (1) $258 18 24 14 21 B. Business: Total Used (2) $13,876 5 3 7 9 Federal Sources $717 14 13 D 8 Business Sources (3) $13,159 5 2 D 10 C. Universities and Colleges: Total Used(4) $1,058 14 34 14 14 Federal Sources $721 14 25 11 10 Non-federal Government Sources $61 17 32 35 32 University & College Sources $156 22 40 22 NA Business Sources $81 13 11 11 14 Non-Profit Sources $39 25 38 27 NA D. Non-Profits: Total Used (5) $1,504 4 4 4 5 Nonprofit FFRDC $1,137 4 4 4 NA Other Nonprofits $367 4 6 7 NA E. State Internal (6) NA NA NA NA
R&D $
0 5000 10000 15000 20000
Chemicals
Petroleum
Machinery
Electrical Equipment
Motor Vehicles
Aircraft & Missiles
Professional & Scientific Instruments
Other Industries - $40.9 billionSource: Statistical Abstract of the United States, 1998
R&D as a % of Sales - 20080.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0
Scientific R&D
Computer & electronic Mfg.
Software
Aerospace Mfg.
Architecture & Engineering
Chemical Mfg.
Internet & data processing
Computer systems design
Information
All Manufacturing
All Industries
Machinery Mfg.
Electrical Eq. Mfg.
All Nonmanufacturing
Motor Vehicle Mfg.
Nonmetallic Mineral Mfg.
Fabricated Metals Mfg.
Paper Mfg.
Plastic & Rubber Mfg.
Food Mfg.
Primary Metals Mfg.
Technical Knowledge
Spatial Concentration of R&D activity Mobility and Availability of Technical
Knowledge in Space
Regional Consequences of R&D Effort
Research at the UW - Impacts on local industrial development
United States (AK & HI Inset)by Column Q
7,000 to 44,000 (10)3,000 to 7,000 (9)1,500 to 3,000 (10)
500 to 1,500 (9)0 to 500 (11)
United States Total R&D 1998 $ Billions
Alabama in this group
Data notDisclosed
United States (AK & HI Inset)by Column Q
1.77 to 5.98 (9)0.91 to 1.77 (10)0.58 to 0.91 (9)0.26 to 0.58 (11)0.1 to 0.26 (10)
United States Location Quotients All R&D 1998
AL inthis group
Not Disclosed
United States (AK & HI Inset)by Column Q
0.7 to 51.3 (16)0.6 to 0.7 (2)0.4 to 0.6 (9)0.2 to 0.4 (5)0 to 0.2 (17)
United States Location Quotients Federal R&D 1998
1.192.84
United States (AK & HI Inset)by Column Q
1.58 to 5.46 (8)0.82 to 1.58 (11)0.57 to 0.82 (9)0.16 to 0.57 (10)0 to 0.16 (11)
United States Location Quotients Industry R&D 1998
0.27D
United States (AK & HI Inset)by Column Q
1.25 to 4.5 (8)1.05 to 1.25 (11)0.88 to 1.05 (10)0.64 to 0.88 (9)0.3 to 0.64 (11)
United States Location Quotients Universities R&D 1998
1.101.34
United States (AK & HI Inset)by Column Q
1.2 to 25.2 (19)0.9 to 1.2 (2)0.75 to .9 (5)0.5 to .75 (3)0 to 0.5 (20)
U.S. Location Quotients Federally Research Funded R&D 1998
.61.52
United States (AK & HI Inset)by Column B
2,900 to 18,900 (11)1,300 to 2,900 (10)
700 to 1,300 (6)300 to 700 (12)
0 to 300 (12)
United States # Patents 1999
United States (AK & HI Inset)by LQ-Patents
1.38 to 2.93 (10)0.95 to 1.38 (10)0.55 to 0.95 (11)0.38 to 0.55 (7)0.23 to 0.38 (13)
Location Quotient Patents Per Capita 1999