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Spatial Distribution of Growth and Inequality:The case of Israeli cities
Malka Antonio and Daniel Shefer
January 2010
Center for Urban and Regional Studies
Technion
Conflict (?) between two objectives
1. Induce growth
2. Reduce inequality
Competing or complementing objectives?
Equality
Gro
wth
Substitute
Equality
Gro
wth
Complementary
Research questions
Is there a spatial relationship between growth and inequality?
What are the factors that affect the spatial distribution of growth?
Does diversity have a role in the growth/inequality dynamic?
What is the spatial relationship between growth and inequality in Israel?
Growth is affected by: Innovation, specialization, trade The New Economic Geography
Growth – average income, population growth Distance from Tel Aviv
Human capital – education Entrepreneurship – self-employment ICT (Information and Communication
Technology) specialization Unemployment Inequality
The cyclical, self-reinforcing relationship between growth and inequality is mediated by diversity
Inequality Growth
Diversity
Increase
Decrease
Diversity
Diversity creates dynamic places (Jacobs) The Creative Class Economy (Florida) Quasi-fixed factors (World Development
Report, 2009) Ease of entry (Chinitz) Monopolistic competition (a la Chamberlin) –
Differentiated products/services and city size (Quigley)
Hypotheses
Diversity increases growth Growth increases inequality Diversity increases inequality within cities
and decreases inequality between cities/regions
Distance from the center affects income, education, entrepreneurship, population growth, unemployment
Empirical analysis
Stage I General trends for 2006
Spatial analysis
Stage II Growth and inequality over time Spatial ICT activities
The relationship between growth factors:
- Income- Education- Entrepreneurship – self-employment - Socio-economic rank
t = 12.742, b1 = 133.2, R2 = .76
Income vs. education
3,000
5,000
7,000
9,000
11,000
30.0 40.0 50.0 60.0 70.0 80.0Percent of students with high-standard degree
Ave
rag
e in
com
e
Localities
Modiin-M-R
Jerusalem
Kiryat Gat
t = 15.842, b1 = 0.125, R2 = .82
Socio-economic rank vs. education
0
2
4
6
8
10
30.0 40.0 50.0 60.0 70.0 80.0
Percent students with high-standard degree
So
cio
-eco
n r
ank
Localities
Modiin-M-R
Netivot
t = 7.817, b1 =- 0.004, R2 = .53
Rate of self-employment vs. average income
0.010.020.030.040.050.060.0
3,000 5,000 7,000 9,000 11,000
Average income
Sel
f-em
plo
ymen
t p
er 1
,000
Localities
Modiin-M-R
Eilat
Tel Aviv
- Gini coefficient - Income
The relationship between growth and inequality:
t = 10.010, b1 = 1.86E-05, R2 = .65
Gini coefficient vs. average income
0.3
0.35
0.4
0.45
0.5
0.55
3,000 4,000 5,000 6,000 7,000 8,000 9,000 10,000 11,000
Average income
Gin
i co
effi
cien
t
Localities
Modiin-M-Rt
Maale Adumim
Jerusalem
Tel Aviv
The spatial distribution of growth:
- Income- Population growth- Socio-economic rank - Self-employment- Unemployment
t = -4.20 , b1 = -17.65 , R2 = .25
0.01542925Total
2921
(15.57)8
(13.43)51-184 km
258)13.43(
17)11.57(
0-50 km
TotalIncome <6,000
NISIncome >6,000
NIS2
Average income vs. distance from TA
2,000
4,000
6,000
8,000
10,000
12,000
0 50 100 150 200
Distance (km from TA)
Av
era
ge
in
co
me
Localities
Modiin-M-R
Mevaseret Zion
Haifa
t = -3.322, b1 = -0.013, R2 = .18
Population growth vs. distance
-1.00.01.02.03.04.05.06.07.08.0
0 50 100 150 200
Distance (km from TA)
Po
pu
lati
on
gro
wth
Localities
Bat Yam Haifa
Modiin-M-R
Maale Adumim
Beit Shemesh
Nes Ziona
0-50 km51-184 kmTotal
Rank 6-919(12.50)
8(14.50)
27
Ranks 1-56(12.50)
21(14.50)
27
Total 2529540.001
2t = -3.625, b1 = -0.015, R2 = .20
Socio-economic rank vs. distance from TA
0
2
4
6
8
10
0 50 100 150 200Distance (km from TA)
So
cio
-eco
no
mic
ran
k
Non-metropolitan Metropolitan TA
I
IV III
II
Haifa
LodRamle
t = -5.717, b1 =- 0.119, R2 = .38
Rate of self-employment vs. distance
0.0
10.0
20.0
30.0
40.0
50.0
60.0
0 50 100 150 200
Distance (km from TA)
Sel
f-em
plo
ymen
t p
er 1
,000
Localities
Beit ShemeshBnei Brak
t = 5.330, b1 = 0.028, R2 = .35
Rate of unemployment vs. distance
13579
111315
0 50 100 150 200
Distance from TA
Un
em
plo
ym
ne
t p
er
1,0
00
Localities
Jerusalem
Zafed
The spatial distribution of inequality
- Gini coefficient- Distance
t = -3.655, b1 = -0.0003, R2 = .20
Gini coefficient vs.distance
0.3
0.35
0.4
0.45
0.5
0.55
0 50 100 150 200
Distance (km from TA)
Gin
i c
oe
ffic
ien
t
Localities
Haifa
Ramle
Zafed
Ramat Hasharon
Discussion
Increase growth
Decrease inequality
Developed economy X
Developing economy X
Income per capita
Ineq
ualit
y
• Growth and inequality (between countries)
Growth and inequality (between regions, within a country)
Increase
growth
Decrease inequality
Central
region X
Peripheral regions X
Conclusions The impact of inequality depends on scale –
within and between cities/regions Policy recommendations
Investment in transport infrastructure - Improves labor accessibility to the center Attracts firms to the periphery Induces spatial economic integration
Earmark location specific incentive programs to help distressed cities in the center as well as in the periphery