Upload
others
View
4
Download
0
Embed Size (px)
Citation preview
Introduction to Regional Input-Output Model
2007. 8. 21.
서울대학교 농경제사회학부
안 동 환
Introduction
Local Economic ImpactLocal industry changes
• Industry expansion, Industry contractionLocal microeconomic changes
• Firm relocation, Firm expansion, Firm closureLarge projects
• Construction projectsRegional multiplier analysis
The impacts of industrial changes on a regional economy, throughan assessment of the linkages between firms and factor inputs.
• The regional trade patterns • The regional industrial structure
Approaches• Economic Base Model• Keynesian Multiplier• Input-Output Model• …
Total employment (T) = Basic (B) + non Basic (N)basic sector Industries whose markets are national or global (export-base industry). non-basic sector Industries that sells almost of all their output to local consumers.
The performance of non-basic sector is determined by the performance of the local economy as a whole.
N = nT (n = the strength or sensitivity of the linkage between the local economy, T and the locally oriented activities, N)
T = B + nT (T/B = 1/(1-n) : economic base multiplier)Application: ΔT = [1/(1-n)]ΔB the increase in total employment generated by an increase in export (basic sector) employment.
Economic base model
Income = Aggregate Demand Y = C (Consumption) + I (Investment) + G (Gov. Exp.)
+ X (Export) – M (Import)C=a+bY, M=c+dY
Y = a + b(1-t)Y + I + G + X – c – d(1-t)Y Y = (a – c + I + G + X) / [1 – (b - d)(1-t)]
Keynesian multiplier k=1/[(1-(b-d)(1-t)]An exogenous increase in I of $1 will increase Y by k=1/[1-(b-d)(1-t)].b-d : marginal propensity to consume locally produced good
Application: ΔY = Δ(a –c + I + G + X)/[1- (b–d)(1-t)]
Keynesian Regional Multiplier
Why Input-Output Analysis?
Macro Economics ?Micro Economics ?Structure of economy!!Industrial interdependence and interaction!!
The IO model is centered on the idea of inter-industry transactions, that is industries use the products of other industries to produce their own products.
Quesnay, 1758; Walras, 1874; Leontief, 1936 (Nobel Prize in 1973).
Inter-industry Transactions
Outputs from one industry become inputs to another.
e.g. Automobile producers use steel, glass, rubber, and plastic products to produce automobiles.
• When you buy a car, you affect the demand for glass, plastic, steel, etc.
e.g. Policy increasing the demand for cars vs. the demand for housing
Wages & Salaries
Households buy the output of business: final demand or Yi
BusinessesHouseholdsGoods & Services
Consumption Spending
LaborBusinesses
Businesses purchase from other businesses to produce their own goods / services: xij (output of industry i sold to industry j)
Households sell labor & other inputs to business as inputs to production
Household and Industry
Purchasing sectors
Final demand (Y)
C E
Total output
Z1c Z1E
Z2E
Selling sectors
Payment sectors
Z3E
L1 L2 L3 Lc LI LG LE CFactor inputs(value added)
KE
ME
E
Z2c
X1
X2
X3
I
G
E
Z3c
Kc
Mc
C
1 2 3 I G
1 Z11 Z12 Z13 Z1I Z1G
2 Z21 Z22 Z23 Z2I Z2G
3 Z31 Z32 Z33 Z3I Z3G
K1 K2 K3 KI KG
Imports M1 M2 M3 MI MG
Total outlay X1 X2 X3 I G
Transactions and National Accounts
X1 = Z11 + Z12 + … + Z1n + Y1X2 = Z21 + Z22 + … + Z2n + Y2… … … … … …
Xn = Zn1 + Zn2 + … + Znn + Yn
C: Personal consumption
I: Investment
G: Government expenditure
E: Export
Wage
Interest, land rent
Taxes
Production technology, production functionx = f(z) = Min {k1z1, k2z2, …, knzn}
Technical coefficientaij = zij / xj (i.e. xj = zij / ajj )
• aij : technical coefficient• zij : input flow from i to j• xj : output of j
zij = aij xj
Leontief technologyxj = Min {z1j/a1j, z2j/a2j, …, znj/anj}
No factor substitution
z2j
z1j
xj =1
xj =2
xj =3
Leontief Technology
X1 = a11X1 + a12X2 + … + a1nXn + Y1
X2 = a21X1 + a22X2 + … + a2nXn + Y2
… … … … … …Xn = an1X1 + an2X2 + … + annXn + Yn
1-a11 a12 … a1n X1 Y1
a21 1- a22 … a2n X2 Y2
… … … … … = …an1 an2 … 1-ann Xn Yn
(I-A)X = Y
Input-Output Model
X1 = Z11 + Z12 + … + Z1n + Y1X2 = Z21 + Z22 + … + Z2n + Y2
… … … … ……Xn = Zn1 + Zn2 + … + Znn + Yn
zij = aij xj
(I-A)X=Y or X = (I-A)-1 Y Input-Output Model
X: total output vectorY: final demand vector
• Household• Investment• Government• Export
A: technical coefficient (aij) matrixΔX = (I-A)-1ΔY How to use for impact analysis??
ΔY: change in final demandΔX: change in total output
Input-Output Model
Zij Purchases
Sales X1 X2 X3 Final consumers
Total Output
X1 - - 70 30 100X2 20 - 80 100 200X3 20 80 - 200 300Factor inputs 40 110 140 - 290
Imports 20 10 10 30 70
Total input 100 200 300 360 960
Making trade flow table (transaction table)
Example
aij = zij / xj Purchases
Sales X1 X2 X3 Final consumers
X1 - - 0.23 0.08
X2 0.20 - 0.27 0.28
X3 0.20 0.40 - 0.56
Factor inputs 0.40 0.55 0.47 -
Imports 0.20 0.50 0.03 0.08
Total input 1.00 1.00 1.00 1.00
Making technical coefficients
Example
Example
Increase in final demand in sector X3 : 1000First round
Sector X1: 0.23*1000 =230 Sector X2: 0.27*1000 =270Sector X3:
Second roundSector X1: Sector X2: 230(X1)*0.2=46Sector X3: 230(X1)*0.2=46, 270(X2)*0.4=108
Third roundSector X1: 0.23*154(X3) =35Sector X2: 0.27*154(X3) =42, 0.4*46(X2)=18Sector X3:
Fourth roundSector X1:Sector X2: 0.2*35(X1) =7Sector X3: 0.2*35(X1) =7 , 0.4*60(X2)=24
Ripple effects….
X1 X2 X3
X1 - - 0.23
X2 0.20 - 0.27
X3 0.20 0.40 -
dZij Purchases
Sales X1 X2 X3 Final consumers
Total Output
X1 - - 282 - 282
X2 56 - 322 - 378
X3 56 151 - 1000 1207
Factor inputs 113 207 563 -
Imports 56 19 40 -
Total input 282 378 1207 1000 1867
Multiplier = 1867/1000 = 1.867
Example
Input-Output Analysis
Economic impactsdirect impact change in final demandindirect impact change required for direct impactinduced impact change result from household expenditure change
Open vs. Closed Open : household exogenous Type IClosed : household endogenous Type II
Open (Type I) Model
A : n X nTotal impact = Direct impact + Indirect impact
aa1111 aa1212 …… aa1n1n
A = aA = a2121 aa2222 …… aa2n2n
…… …… …… ……aan1n1 aan2n2 …… aannnn
Closed (Type II) Model
AC : (n+1) X (n+1)
aa1111 aa1212 …… aa1n1n aa1,n+11,n+1
AAC = a= a2121 aa2222 …… aa2n2n aa2,n+12,n+1
…… …… …… …… ……aan1n1 aan2n2 …… aannnn aan,n+1n,n+1
aan+1,1n+1,1 aan+2,2n+2,2 …… aan+1,nn+1,n aa1,n+11,n+1
= A HC
HR h
Closed (Type II) Model
HR : household input coefficients to the original n sectors an+1,j = Zn+1,j / Xj
Zn+1,j : j sector’s purchases of labor an+1,j : the value of household services (labor) used per dollar’s worth of j’s output
HC : consumption coefficients from the original n sectors ai,n+1 = Zi,n+1 / Xi
Zi,n+1 : the value of sector i’s sales to households
Total impact = Direct impact + Indirect impact + Induced impact
Limitations of Input-Output Model
Requirement for regional data : transactions
Stability of input coefficients
Constant returns to scale
Constant multipliers
No price effects
Regional Input-Output Model
National Model vs. Regional Model
Single-region vs. Multi-region Model
Data and Steps
Regional Coefficient
National technical coefficient A is available.
For regional model, we need a regional matrix showing inputs from firms in the region to production in that region.
Regional technical coefficient AR
Although the technology in region R is the same as in the nation, national technical coefficient A must be modified so as to indicate only the inputs of locally produced goods in local production.
Single region vs. Many region model
Single region model regional technical coefficients AR
regional supply percentages (or regional purchase coefficients)
Many region modelInterregional modelMultiregional model
Single region model
1. Survey interregional trade ZijRR :
Regional input coefficients ARR
2. Using national technical coefficients A:Regional technical coefficients AR
= P (Regional supply percentages or regional purchase coefficients; diagonalized) * A
Regional Input Coefficient
aijRR = zij
RR / XjR
aijLL = zij
LL / XjL
ij from i sector to j sectorRR from R region to R regionLL from L region to L region
ARR : regional input coefficient for RALL : regional input coefficient for L
∆XR = (I-ARR)-1 ∆YR
∆XL = (I-ALL)-1 ∆YL⎥⎥⎥
⎦
⎤
⎢⎢⎢
⎣
⎡
=LLLLLL
LLLLLL
LLLLLL
LL
aaaaaaaaa
A
333231
232221
131211
Regional supply percentages
the percentage of the total required outputs from each sector that could be expected to originate within the region (or RPC: Regional Purchase Coefficient)
pjR = (Xj
R – EjR) / (Xj
R – EjR + Mj
R)(Xj
R – EjR) : locally produced amount of good j
available in region R(Xj
R – EjR + Mj
R) : total amount of good j available in region R, either produced locally or imported
Regional Technical Coefficient
aijR = zij
·R / XjR
ij from i sector to j sector·R from all regions to R region
AR = PA XR = (I-PA)-1 YR
P: diagonal matrix created from pjR
∆XR = (I-PA)-1 ∆YR
Many Region Model
1. Interregional I-O model (IRIO)Survey interregional trade Zij
RR Regional input coefficients ARR
2. Multiregional I-O model (MRIO)Regional technical coefficient AR
• Interregional trade coefficient CiRL
• LQ aijRR = aij
N*LQiR if LQ <1
aijN if LQ>1
• RAS for updating AR
Non-survey technique
Interregional Model
region L R
region sector 1 2 3 1 2
1 Z11LL Z12
LL Z13LL Z11
LR Z12LR
2 Z21LL Z22
LL Z23LL Z21
LR Z22LR
3 Z31LL Z32
LL Z33LL Z31
LL Z32LL
1 Z11RL Z12
RL Z13RL Z11
RR Z12RR
2 Z21RL Z22
RL Z23RL Z21
RR Z22RRR
L
Interregional trade, flows of goods Interregional trade, flows of goods
Interregional ModelRegional input coefficient
aijLL = zij
LL / XjL
aijLR = zij
LR / XjR
aijRL = zij
RL / XjL
aijRR = zij
RR / XjR
• ij from i sector to j sector• LR from L region to R region
⎥⎥⎦
⎤
⎢⎢⎣
⎡= RRRL
LRLL
ZZZZ
Z
⎥⎥⎥
⎦
⎤
⎢⎢⎢
⎣
⎡
=LLLLLL
LLLLLL
LLLLLL
LL
aaaaaaaaa
A
333231
232221
131211
⎥⎥⎥
⎦
⎤
⎢⎢⎢
⎣
⎡
=LRLR
LRLR
LRLR
LR
aaaaaa
A
3231
2221
1211
⎥⎥⎥
⎦
⎤
⎢⎢⎢
⎣
⎡
= RLRLRL
RLRLRL
RL aaaaaa
A 232221
131211
⎥⎥⎥
⎦
⎤
⎢⎢⎢
⎣
⎡
= RRRR
RRRR
RR aaaa
A 2221
1211
Interregional Model
LLRLRLLLLLLL YZZZZZX 112111312111 +++++=
LRLRRLRLLLLLLLLLL YXaXaXaXaXaX 12121113131121111 2 +++++=
⎥⎥⎦
⎤
⎢⎢⎣
⎡=⎥⎥⎦
⎤
⎢⎢⎣
⎡
⎪⎭
⎪⎬⎫
⎪⎩
⎪⎨⎧
⎥⎥⎦
⎤
⎢⎢⎣
⎡−⎥⎦
⎤⎢⎣
⎡R
L
R
L
RRRL
LRLL
YY
XX
AAAA
II0
0
Interregional trade coefficient
CiRL = zi
RL / TiL
TiL : total shipment of i into L from all of the
regionsCi
RL : the proportion of all of good i used in L that comes from R
Multiregional Model
⎥⎦
⎤⎢⎣
⎡= LL
LLL
aaaa
A2221
1211 ⎥⎦
⎤⎢⎣
⎡= RR
RRR
aaaa
A2221
1211
⎥⎦
⎤⎢⎣
⎡= LR
LRLR
cc
C2
1
00
⎥⎦
⎤⎢⎣
⎡= RR
RRRR
cc
C2
1
00
⎥⎦
⎤⎢⎣
⎡= LL
LLLL
cc
C2
1
00
⎥⎦
⎤⎢⎣
⎡= RL
RLRL
cc
C2
1
00
⎥⎦
⎤⎢⎣
⎡= R
L
AA
A0
0
⎥⎦
⎤⎢⎣
⎡=
RRRL
LRLL
CCCC
C
⎥⎦
⎤⎢⎣
⎡=
R
L
XX
X ⎥⎦
⎤⎢⎣
⎡=
R
L
YY
Y
Multiregional Model
RLRLLLRRLRLLLL YCYCXACXACI +=−− )(RRRLRLRRRRLLRL YCYCXACIXAC +=−+− )(
RLRLLLRRLRLLLLL YCYCXACXACX +++=RRRLRLRRRRLLRLR YCYCXACXACX +++=
CYXCAI =− )(
CYCAIX 1)( −−=