1.*Why populations are shifting from rural to urban
The Industrial Revolution caused massive urbanization because of its innovations in agriculture, transportation, and production
2.*Different definitions for cities
Cities form because:
There is incentive to be close together
Protection or coercion
Social Interaction
Specialization
Public Good
Inequal Productivity of land
Some land better producing beads, some better at producing shirts
Non-Constant return to scale in exchange
Not equal cost trading 100 items 100 times vs. 100 items 1 time (Transport costs)
Non-constant returns to scale in production
Quantity of item produced per hour is not constant with variations in number of/productivity of workers
Place with a relatively high population density
Census definitions:
Urban area: minimum population = 2,500
Urban population: people living in urban areas
Metropolitan area: at least 50k people
Micropolitan area: 10k to 50k people
Principal city: largest municipality in metro area
Trading Cities
Cities produce specific items, then trade those items for other items they do not produce as efficiently
Economies of scale play a factor
Factory Town
Entice rural workers to move to city by offering wages that are greater than those from the rural market+the extra cost of living for living in the city
Processing Towns
Resource oriented firms
Sugar beets and transport of either sugar from sugar beets or entire sugar beet
3.*What incentives encourage the formation of cities
Requirements for Formation
Agricultural surplus
Urban production to exchange for food
Transportation system for exchange
Benefits of centralized exchange and centralized productions
Market forces that generate cities
Incentives for Formation
Benefits of centralized exchange and centralized productions
Market forces that generate cities
Larger labor pool (can match job and employee skills better)
Gain benefits from exchange of information amongst firms
Share of suppliers
4.*The conditions required for trading cities to form
Assume some workers are more productive.
Incentive to trade
Assume trade has economies of scale
Incentive to be close together
Financial institutions
Writing systems
When comparative advantage is combined with scale economies in exchange
Factory cities develop when there are scale economies in production
DO PRACTICE PROBLEMS ON BB!
5.*The decision of where to process goods
Have to factor in the extra cost of moving the entire weight of harvested good vs. the cost of moving just the processed good
Sugar beets vs. just sugar
Spatial competition among firms generates a market area for each firm and system of cities
Goods are processed near a source if:
The goods tend to lose weight/volume
Sugar cane, dried fruit, ore, maple syrup
Processing costs are cheaper near source
Source is close to coal, hydro electric, cheap labor
Quickness of processing is important
Canned fruits/veggies, wine
Goods are processed centrally if:
When transport costs are relatively low
Computers
When large economies of scale exist
Cars
When large economies from clustering exist
Movies
Goods are processed near consumers if:
When processing increases transport costs
Soda
When face time with consumers is important
Tailored cloths
When time of consumption is important
Meals
6.*Why shared inputs, shared labor pools, shared knowledge and better labor matching encourages firms to cluster
Increases benefits and reduces costs, as well as results in higher productivity
Why do firms locate close to one another?
Localization economies: firms in an industry cluster
Urbanization economies: firms in different industries cluster
Intermediate inputs:
An Example: Dressmakers produce high fashion dresses
Rapid changes in fashion and output: Firms are small & nimble
Scale economies in buttons large relative to demand of single dressmaker
Face time require to design and fabricate buttons to fit dresses
Dressmakers share a button-maker, and cluster to facilitate face time
Labor Pools
Varying demand for each firm: Software & TV programs
Fixed industry-wide demand: zero-sum changes in demand across firms
Example: success of one firm’s GIS software at expense of others
Locational equilibrium: Wage in cluster = expected wage in isolated site = $10
Labor Matching
Firms and workers not always perfectly matched
For example, an experienced accountant working as a cook.
Mismatches require training costs to eliminate skill gap
Larger city generates better matches
Firms and workers not always perfectly matched
For example, an experienced accountant working as a cook.
Mismatches require training costs to eliminate skill gap
Larger city generates better matches
Knowledge
Firms in an industry share ideas and knowledge
Innovations are discussed, improved, and adopted
Knowledge spill over
Skills and technology tend to “spill” outside of firms, even when the firm does not want this to happen.- silicon valley
****Firms will cluster until profit in cluster equals profit as individual
7.*Other non firm factors that encourage large cities
Utility of a worker in a larger city is greater
Joint Labor Supply
Large cities offer better employment opportunities for two-earner families
Metal-processing firms (men) located close to textile mills (women)
Power couples attracted to cities, with better employment matches
Learning Opportunities
Human capital increased by learning through imitation
Urban migrates acquire skills and experience permanent increase in wage
Social Opportunities: Better matches of social interest in large city
8.*How and why city utility changes with city size
Localization and urbanization economies increase productivity & wage
Commute time increases with city size, decreasing leisure time
9.*Why cities have different sizes
Sizes can change due to a new innovation in one city that increases the productivity of the labor force, thus increasing the utility of living in that city
Results in one city growing while others shrink, until utility of living in all cities is equal
New utility is likely somewhere between the utility in the non-innovating city and innovating city immediately after the introduction of the new innovation
Size can be effected by location and nearby geographic features
Water ways/features that promote movement of products can result in the agglomeration of many firms, thus many laborers, creating a Trading City
(Labor multiplier plays a role)?
Cities with industries that have jobs with greater labor multipliers will be larger
Each additional employed individual will require more other individuals to supply the goods/services that they will demand
10.*Shifts in labor supply and labor demand
Labor demand:
Increase demand for export goods
Decrease production cost => decrease output price => increase output
Increase productivity
Decrease tax
Increase public services
Land use policies: accommodate firms seeking expansion or relocation
Labor supply- positive slope
Simplifying assumptions: fixed hours per worker; fixed participation rate
Positive slope: Migration in response to wage differences
Increase in wage attracts workers to the city
Axiom 1: Growing city offer higher wage to offset higher cost of living
Elasticity( living cost, total employment) = 0.20
Elasticity (wage, total employment) = 0.20
Elasticity (labor supply, wage) = 5.0
What causes an increase in Labor supply?
Improve amenities such as environmental quality
Decrease disamenities such as crime
Decrease residential taxes such as property tax or sales tax
Improve residential public services
11.*How environmental policy affects cities
Environmental policy decreases labor demand
Increases production cost of polluting good => increase price
Increase in price => decrease output and labor demand
Improvement in environment increases labor supply
Net effects on total employment logically indeterminate
12.*What determines market value and land rent
Market value: Amount paid to take ownership
Land rent: Periodic payment from user to owner
Axiom 1: Price of land adjusts for locational equilibrium
Each firm earns zero economic profit after paying for land
Variation in freight cost generates variation in land rent
Bid Rent for Urban Land Depends on Accessibility
WTP: Maximum amount for lot large enough for production facility
WTP=Total revenue – non-land costs
Bid rent per hectare = WTP divided by lot size
Bid Rent for Farm Land depends on fertility
WTP for hectare of land= Total revenue – non-land costs
Bid rent per hectare = WTP divided by lot size
Bid Rent for Office Land depends on Accessibility
(Travel Distance West + Travel Distance East) x 2 = Total Travel Distance
Principle of median location: Travel distance minimized at median location
13. *How factor substitution affects the bid-rent curve
Transportation costs change as you move out from the city
This cost is reflected in the decrease in land rent
Bid rent curve becomes more convex as you increase the substitution
People will decide to live in smaller homes as you move closer to the city since prices are greater per sqft
Further increases the number of individuals on a hectare
Bid Rent curve is further convexes
14.*Why and how consumers substitute for housing as housing prices increase
a. Substitute smaller houses as housing prices increases, because it’s too expensive
b. If household that moves closer can afford 1,000 sf, is that the best choice?
c. Higher price: Higher opportunity cost per square foot housing
d. Consumers substitute other goods for housing, decreasing sf of housing
15.*How introducing time value as a cost to residents affects location decisions
a. Time value is a cost because the further away from employment a person is, the higher the time cost is due to transportation
b. Studies show that consumers value travel time @ 1/3 to ½ wage rate
c. Higher opportunity cost of commuting = steeper housing price curve and bid rent curve
d. Introduction of time cost brings in additional factor of commuting costs, not just gas costs
e. Note: This result conflicts with our observation that low income housing is usually centrally located. What’s going on here?
f. Low income housing in located at the center of a city because it is the leftovers of old residential land as richer individuals more out of the city to the suburbs.
g. “Low income housing households locate close to the center b/c their relatively low housing consumption means they have little to gain by moving outward.” Pg 191
h. Crime and other factors lead to preferences to live outside of the city, which often outweigh the time value cost.
Therefore, low-income housing is usually centrally located even though there is a low time cost, which would seem to increase the value, because other costs such as crime outweigh this benefit
i. Note: This result conflicts with our observation that low income housing is usually centrally located. What’s going on here?
16.*What is occurring at boundries where land use changes type
a. The land at the boundary points becomes more efficient for use in one sector over another.
b. For example, as move out from city center, towards the beltlines and highways, land will become more efficient to be used by manufacturers than offices, which like to be more tightly aggregated.
17.*The advantages of polycentric and monocentric cities
Model of monocentric cities
a. Central export node for freight
b. Horse-drawn wagons for intracity freight
c. Hub-spoke streetcar system for commuting
d. Central information exchange
e. Allow for efficient public transport when population density is greater
Polycentric Cities
f. Personal car ownership had a major effect on the shift to a polycentric city
g. Creates pockets throughout the city that brings local goods closer to consumers
h. Have a barber shop in every neighborhood, instead of all of them in the CBD
i. Reduced commuting costs to get to these goods
j. Land is cheaper
18.*How 18th century technology encouraged the development of monocentric cities
a. Built fix rail systems, like trolleys, that led from the outer parts to the city center.
b. New building techniques were developed that allowed builders to build upward
c. Improved agricultural practices that made that process more efficient. (Farmers produced a surplus of crops/food)
d. Use of coal as a power source, movement away from water powered manufacturing
i. Allowed more factories to be built close to each other
19.*How changes in technology affect bid-rent curves
i. New building techniques increase the height of buildings
1. Increases the number of houses per hectare
2. Increases substitution
ii. New transportation techniques, trucks, highways, flattens the bid rent curve
1. Right side of the curve moves upward
2. Cost of commuting into the city is less, thus the rate of change of the bid rent is less
3. Lower wages b/c travel costs are less and more workers can afford to travel into the city to work
a. This moves the bid rent curve down in addition to the flattening
20.*How sub-centers are formed
i. Sub-center: Area where employment density is at least 25 workers per hectare and total employment is at least 10,000
ii. Infrastructure (roadways, etc .) impacts where they are formed
iii. Problems with a single center
1. Overcrowded
2. Transportation
3. Externalities—pollution, etc.
4. Can be too much clustering—really high wages
iv. Mixed-industrial sub-centers: Started out as low-density manufacturing areas near a transport node (airport, port, or marina) and grew as they attracted other activities.)
v. Mixed-service sub-centers: like traditional downtowns, provide a wide range of services, and many functioned as independent centers before they were absorbed into the metropolitan economy
vi. Specialized-manufacturing sub-centers: include old manufacturing areas as well as newer areas near airports that produce aerospace equipment
vii. Service-oriented sub-centers: Employ workers in service activities such as medical care, entertainment, and education
viii. Specialized entertainment sub-centers: Employ workers in television and film
21.*The relationship between city age and the spatial patterns of cities
i. Cities used to benefit from centralization, so cities with older growth are more centralized
ii. Newer cities have greater degree of decentralization and subcenters (LA)
1. Lower commuting costs
2. Government subsidies promote movement out of the city (Suburbs)
iii. Older cities built on the concept of monocentric city (NY)
1. Based on old transportation techniques
iv. After 1970s, it was less beneficial to be centralized so office space began moving to the suburbs, resulting in less centralization in newer growth cities, and more urban sprawl
1. Before 1970s: Suburban activities were paper-processing
2. New information technology reduced centralization advantages
v. Urban sprawl became even more prominent due to:
1. Lower commuting costs and higher income
2. Culture: Higher density among Asians and Immigrants
3. Government Policies:
a. Congestion: Under-pricing of commuting encourages long commutes
b. Mortgage subsidies: Increase housing consumption
c. Under-pricing of fringe infrastructure
d. Zoning: Minimum lot sizes to exclude high-density housing
22.*Why sky scrapers tend to be too tall
i. Competition to be the tallest will result in too much money spent on skyscrapers due to inefficiencies.
ii. Marginal principle: Increase height as long as MB > MC
iii. Profit-maximizing height: MB = MC
iv. Implications:
1. Large gap between tallest and second tallest; observed in real cities
2. Wasteful competition dissipates profit
a. Look at graph—maximum benefit is where marginal cost=marginal benefit
b. Higher than that, less benefit is realized, and it is inefficient
23.*The factors that communities tend to segregate on
When people want different levels of local public goods segregation by preferences is useful.
When taxes are based on a trait that varies between people, segregation by that trait is useful.
24.*How segregation improves the public goods problem
-Segregation allows cities and neighborhoods to get exactly what they want and produce products that are in demand for the neighborhood. Such as if the neighborhood is segregated and they want a park but not a movie theater they can put money into parks instead of a movie theater.
-When people want different levels of local public goods segregation by preferences is useful
25.*Why rent premium may be different for different socio-demographic groups
26.*Why some neighborhoods become segregated and some become mixed
Racial Segregation: byproduct of income segregation: small contribution
Minimum lot size zoning excludes low-income households
Racial steering (reflecting prejudice) reduces access of black households
Public housing concentrates low-income households
Low-crime neighborhood increases with income → income segregation
Demand for school spending increases with income
27.*Why schools have a broad distribution in performance
-based on income in the parents of the students who attend the demand for certain things will vary.
-With more income, graduation, support, going on to college, all increases
-With lower income higher drop out rates and crime which will result in a cycle where education is not the highest priority
28.*Policy responses to the view of homelessness as a problem with individuals
Individual problems: addiction, abuse, mental illness, and income shock
Structural problems: lack of low income housing, unemployment, great depression analogy
-Decrease incentive to be homeless (police enforcement, fewer services, private response)
-Address Individual issues (treat mental illness, provide addiction counseling, job training, provide housing conditional on individual’s behavior) → low success rate at changing behavior
-Address structural issues (high housing costs lead to high homeless, high rental vacancies lead to low homeless)
29.*Policy responses to the view of homelessness as a problem with the housing market
Providing subsidies increases demand
Public housing lowers price, leads to less private provision of housing
Housing assistance reduces the incentive to work
-Housing policy should be location specific:
Areas with high vacancies are more appropriate for vouchers
Areas with inelastic supply are more appropriate for supply subsidies
30.*The draw backs of both demand and supply responses to the housing problem
Demand Side: housing subsidies (tax write offs) rent vouchers
Supply Side: public housing, subsidize low income housing providers
31.*The economic and sociological approach to explaining crime
Economic: Criminals respond to incentives
Crime reduced by increasing costs (police and prisons)
Crime reduced by increasing returns to lawful activities (schools)
Sociological: crime is caused by environment and culture
32.*The main sources of the cost of crime
Half of the cost of visible crime is from punishment
Est. total cost is 250 billion annually
Corporate and white collar crime
Costs are difficult to estimate
Health care fraud exceeds 100 billion annually
-Transfer of wealth (tax fraud, theft)
-Destruction of wealth (property damage, psychological trauma)
-Failure to create wealth (low investment in high crime areas)
33.*Why some crime may be better than no crime (and the assumptions behind this)
-There will money that is spent on education to increase students graduating and not dropping out, the benefit is lower incarceration and victim costs
-Socially efficient quantity of crime, marginal victim cost equals marginal prevention cost, crimes are more costly to prevent than to experience.
34.*How the rational person decides whether to commit a crime
Utility function U($)=($)^1/2
Expected utility % of not getting caught ($if you don’t get caught)^1/2 + %if you get caught($ you loose)^1/2
35.*Some limitations to the model of the rational criminal
-People generally risk averse: need more than $44 to offset risk of -$36
-People tend to prefer certainty to risk
-The utility of a gamble is the expected value of the utility, not the utility of the expected value
36.*Why the elasticity of crime with respect to severity of punishment is relatively low
-longer prison term increases crime cost, shifting MC curve upward
-Elasticity close to zero
-Harden criminal, prison schooling, criminals tend to be short sited
37.*The main roles of incarceration
Longer prison term increases crime cost, shifting MC (Supply) upward
Elasticity close to zero
Longer prison term causes offsetting changes
Harden criminal: lower anguish cost shifts MC (supply) downward
Prison Schooling: skill acquisition shifts MC downward
Criminal tend to be short sited
Incapacitation?
Take criminals out of circulation
Mixed results: each prisoner would have committed 0-17 crimes
Marginal benefits and costs of incarceration (BELOW)
38.*Why average benefit of incapacitation may be higher than the marginal benefit of incapacitation
-Marginal benefit: $15,000 avoided crime
-Excludes benefits of reduced fear and proactive measures
-Marginal cost: $36,000 in facility cost and opportunity cost
39.*How congestion pricing works
Benefits: Decrease in trip time from reduced volume; reduction of other taxes
Costs: Tax for drivers; lost consumer surplus for former drivers
-Congestion tax improves efficiency of urban economy
1. Modal Substitution: switch to carpool, transit, bike
2. Time to Travel: switch to off-peak travel
3. Travel Route: switch to less congested route
4. Location Choice: change residence or workplace, cutting distance
40.*How congestion pricing affects individual and city wellbeing
Improves efficiency of urban economy
Consider two-city region with fixed population
41.*How congestion pricing affects behavior
Modal substitution
Time of travel
Travel route
Location choices
42.*How Gasoline taxes affect behavior
Encourages modal substitution (1) and location choices (4)
Does not affect time of travel (2) or route (3)
Applies to driving on uncongested road (other than small carpool effect)
Addresses pollution, carbon and road wear externalities
43.*Policy responses to automobile air pollution
Economic approach: tax- marginal external cost
Monitoring device allows direct charge for emissions
One-time pollution tax depends on expected emissions, but not mileage
44.*Why safety policies such as seatbelt laws have unintended consequences
Small reduction in death rates
Higher collision rates
Increased injury and death rates for pedestrians and bicyclists
45.*The factors that affect the demand for mass transit
Time Cost Elasticities
-Line-haul time (in-vehicle time)
- Access time (walk and wait time)
Opportunity cost of transit time
Non-commuting trips: more elastic demand in general
46.*Why and when heavy rail eventually becomes more effective than bus service
Heavy Rail may be best choice for New York and Chicago, ridership below threshold
Mainline: riders require other mode for access
Widely spaced stations: improves line-haul at expense of access time
High access cost of BART limits its advantage over autos
-Bus System: headway (time between buses), space between stops
47.*Why it makes sense to subsidize mass transit (ignoring externalities)
Fixed costs generate negatively sloped average cost
Economies of volume: more frequent service and lower time cost
Marginal principle: MB (from demand) = MC
Efficient pricing generates deficit