Lofgren Robinson Ss A
Transcript of Lofgren Robinson Ss A
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3/10/14
PUBLIC SPENDING, GROWTH, AND
POVERTY ALLEVIATION IN SUB-SAHARAN AFRICA:
A DYNAMIC GENERAL EQUILIBRIUM ANALYSIS
Hans Lof!"n
S#"!$an Ro%&nson
In'"!na'&ona( Foo) Po(&*+ R"s"a!*# Ins'&''"
Ma+ ., //0
DRAFT
Paper prepared for presentation at the Seventh Annual Conference on Global Economic
Analysis !"rade Poverty and the Environment# or$ani%ed by the &orld 'an( and the
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Center for Global "rade Analysis and held at "he &orld 'an( head)uarters in
&ashin$ton *+C+ ,une 1-.1 004+
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Ta%(" of Con'"n's
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1 G!o2'#, Po3"!'+, an) P%(&* Po(&*+111111111111111111111111111111111111111111111111111111111111111111111111111111111111111110
41 D+na$&* Po3"!'+ Ana(+s&s: Mo)"( S'!*'!" an) Da'a%as"111111111111111111111111111111111111111111111111115
'ac($round++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++odel Structure+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++1
&ithin.period module++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++13'et2een.period module+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++1
*atabase Structural features of an archetype country in SSA++++++++++++++++++++++++++++++++++++++1-
01 S&$(a'&ons1111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111110
'ase Simulation+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++4
Public Spendin$ Simulations 5eallocation to "ar$et Areas+++++++++++++++++++++++++++++++++++++++++6
Public Spendin$ Simulations E7pansion in "ar$et Areas++++++++++++++++++++++++++++++++++++++++++++Sensitivity Analysis+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++3
61 Con*(s&on1111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111 46R"f"!"n*"s11111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111145
A77"n)&8: S77("$"n'a!+ Ta%("s1111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111110/
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A%s'!a*'
"his study e7plores the impact of $overnment policy on lon$.run $ro2th and poverty in
Sub.Saharan Africa 8SSA9 dra2in$ on insi$hts from cross.country research on the direct
and indirect lin(s bet2een public spendin$ and total factor productivity 8":P9 $ro2th+ethodolo$ically 2e use a dynamic computable $eneral e)uilibrium 8CGE9 model that
is solved for the period 1;.016+ "he model (eeps trac( of the accumulation of ma
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.1 In'!o)*'&on.
"he purpose of this paper is to e7plore the impact of $overnment policies on lon$.
run $ro2th and poverty in Sub.Saharan Africa 8SSA9+ ethodolo$ically 2e analy%e
$ro2th in an archetype SSA country usin$ a dynamic computable $eneral e)uilibrium
8CGE9 model that is an e7tension of the static standard CGE model in =of$ren et al+
8009+ >n addition to incorporatin$ time the model e7tends the earlier static model by
incorporatin$ the influence of economic openness and $overnment spendin$ on factor
productivity+ "he model is applied to a styli%ed database that captures structural
characteristics of the economies of SSA and dra2s on insi$hts from research on the
effects of different public spendin$ policies on economic performance+ "he
economy2ide approach supports analysis of trade.offs and syner$ies bet2een different
public investment strate$ies+
Section provides a brief revie2 of the literature on the determinants of $ro2th
and poverty reduction 2ith an emphasis on the role of public policy 2hich informs the
subse)uent sections of this study+ "he synthesis dra2s on a lar$e body of econometrically
based cross.country analysis+ >n Section 3 the model structure is e7plained and situated
in the conte7t of the literature on dynamic economy2ide policy models+ &e also present
the styli%ed model database and the ability of the model to replicate styli%ed facts fromthe $ro2th and development literature+ >n Section 4 2e present and analy%e a set of
simulations that e7plore the lin(s bet2een $ro2th poverty and $overnment policies+ >n
Section 6 2e summari%e our findin$s and identify hi$h.priority areas for future
research+
1 G!o2'#, Po3"!'+, an) P%(&* Po(&*+4
>n recent decades a considerable research effort has been made to untan$le the
determinants of $ro2th and poverty includin$ public policy+ Althou$h there is a lac( of
consensus on many of its findin$s this body of research nevertheless provides a valuable
1"he authors than( oata% El.Said for professional research assistance+Supplementary information on the database is available on re)uest from the authors+3"his section is a synopsis of =of$ren and 5obinson 80049 available on re)uest from the authors+ "his
documents includes a full set of references+ "he ma
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source for styli%ed facts and parameter estimates that are useful in the construction of a
CGE model and its database+
?ne strand of this literature uses $ro2th accountin$ to disa$$re$ate G*P $ro2th
into factor accumulation and ":P $ro2th+ "he picture that emer$es from this 2or( is that
in SSA avera$e ":P $ro2th has been ne$ative in recent decades+ Across all developin$
countries the ":P share in G*P $ro2th varies but may typically be 33.60 percent+
5ecent research su$$ests that ":P $ro2th may be of increasin$ importance and no2
accounts for the bul( of cross.country $ro2th $aps+ At a more disa$$re$ated level ":P
$ro2th has in recent decades been faster for a$riculture than manufacturin$ in countries
in all re$ions includin$ SSA+
"he econometric literature on $ro2th determinants constitutes a second strand+
"his literature has tried to unravel the determinants of $ro2th typically relyin$ on sin$le.
e)uation cross.country re$ressions of a measure of G*P on a set of potential
determinants selected in li$ht of modern $ro2th theory+ >n recent years this literature
has in some cases been e7tended to time.series analysis analysis at the sin$le.country
level and estimation of simultaneous.e)uation systems+ "he man $eneral the
results indicate that accumulation of labor and physical capital has a robust positive
impact on $ro2th+ &hen physical capital has been disa$$re$ated into private and public
the $ro2th effect has been more consistently positive for private capital+ "his may reflect
that due to corruption and other factors a lar$e share of public investment has not
$enerated public capital as 2ell as the fact that in addition to $ro2th.enhancin$
investments that complement private sector production public investment also has
included $ro2th.retardin$ investments that compete 2ith more efficient private sector
investments+
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:or human capital the evidence is less clear and differs 2idely across studies+
"heoretical $ro2th models 2ith human capital permit increases in human capital per
2or(er to raise labor productivity+ ?n balance the empirical evidence su$$ests that
education 8typically pro7ied by an avera$e level of schoolin$ measure9 has a positive
$ro2th effect 2hereas the macro.level lin(s bet2een health indicators and $ro2th are
less clear+
:rom a policy perspective it 2ould be useful if the analysis could be more
disa$$re$ated and if the analysis of human capital could be e7tended to consider the
impact of public spendin$ as opposed to indicators of education and health status+ "he
analysis in :an and 5ao 80049 2hich 2e 2ill dra2 on in the model.based analysis in
this study responds to these demands+ "hey estimate Cobb.*ou$las production functions
for Africa Asia and =atin America 2ith national G*P as the dependent variable and as
independent variables labor private capital and public capital stoc(s+ "he latter are
disa$$re$ated into a$riculture education health transportation and telecommunication
social security and defense+ "hese $overnment capital stoc( variables 2ere constructed
from past $overnment spendin$ 8both current and capital9 in each functional area+ :or the
most part the coefficient of these determinants 82hich may be interpreted as representin$
elasticities9 had the e7pected si$ns 8positive e7cept for defense9 and most 2ere
si$nificant at the 10 percent level+ "he only coefficients 2ith the !2ron$# si$n 2ere
those for education spendin$ in Africa and =atin America 2hich both had ne$ative si$ns+
Bo2ever for both re$ions the combined mar$inal impact of human capital 8education
and health9 spendin$ 2as positive+ :or Africa the stron$est positive effect 2as for health
spendin$ follo2ed by a$riculture 2hile defense spendin$ has a stron$ ne$ative effect
8:an and 5ao 004 pp+ 14.169+4>n other studies that have used a disa$$re$ated approach
very stron$ $ro2th effects have been identified for investments in transportation and
communications infrastructure+ :or a$riculture the impact of infrastructure investments
may be particularly stron$ $iven that transportation costs often represent a lar$e share of
output prices+
"he $ro2th literature has also addressed aspects of policy and economic
performance that are not readily summari%ed on the basis of $overnment bud$et data+
4"he estimated elasticities of G*P 2ith respect to health and defense are 0+1.0+ and D0+1-.0+1;
respectively+ :or a$riculture the elasticity is around 0+06+
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"here is considerable a$reement that macroeconomic stability often pro7ied by lo2
inflation or a lo2 bud$et deficit relative to G*P has a positive impact on $ro2th+
Althou$h the role of trade has become contentious it seems that on balance an open
trade policy and a stron$ involvement in forei$n trade promote $ro2th+ "his does not
mean that the specific mechanisms are 2ell understood or that openness invariably is
$ro2th promotin$+ ?n the contrary economic structure and domestic policies are li(ely
to have a stron$ conditionin$ impact on the effects of trade liberali%ation and economic
openness+6
"he fact that many cross.country analyses found a ne$ative and si$nificant SSA
dummy has stimulated a search for additional $ro2th determinants 2ith special relevance
for this re$ion+ "he addition of variables indicative of $eo$raphy 8!landloc(edness#9
demo$raphics 8a$e dependency and the $ap bet2een $ro2th in labor force and
population9 and e7ternal factors 8terms.of.trade shoc(s and tradin$ partner $ro2th9 has
eliminated the ne$ative dummy+ :indin$s also su$$est that once these additional $ro2th
determinants are accounted for the mar$inal responses of countries in SSA to chan$es in
their economic environment are no different from those of countries in other re$ions+
"he cross.country re$ression literature stron$ly su$$ests that on avera$e more
rapid G*P $ro2th is associated 2ith more rapid poverty reduction !$ro2th is $ood for
the poor+# "he elasticity of the headcount poverty rate 2ith respect to mean per.capita
consumption is commonly estimated to be bet2een D and D3 2hereas the estimates for
the poverty $ap and s)uared poverty $ap measures are sli$htly hi$her+ Empirical findin$s
su$$est that the effectiveness of $ro2th in reducin$ poverty often is hi$her if $ro2th is
biased in favor of rural areas if initial ine)uality is lo2er and/or if the initial state of rural
development and human resource development is more favorable+ Pro.poor public
e7penditures and land tenure reform can play a role in s(e2in$ the $ro2th benefits in
favor of the poor+ >n $eneral these findin$s confirm the notion that there may be
syner$ies bet2een different policies and structural characteristics the conse)uences of
any $iven policy on economic indicators depend on the nature of other policies and
structural characteristics+
6:or e7ample see case studies of "an%ania 8&obst 0019 Fimbab2e 8'autista et al.0039 and
o%ambi)ue 8"arp et al.009+
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>n sum the literature on $ro2th in developin$ countries su$$ests a number of
desiderata for simulation models of developin$ countries+ Such models should be able to
capture a set of styli%ed facts concernin$ the relationships bet2een poverty reduction and
G*P includin$ the roles of labor force $ro2th accumulation of private capital
economic openness and productivity.enhancin$ public spendin$ 8both on a$riculture
human development 8education and health9 and physical infrastructure 8especially
transportation and communications9+ >n addition simulation models should permit the
$overnment to influence economic performance via policies that contribute to economic
openness and enhance private capital accumulation 8for e7ample by raisin$ the incomes
of a$ents 2ith hi$h savin$s9+ odels should also be able to address the trade.offs that are
involved in economic development amon$ other thin$s bet2een private capital
accumulation and $overnment spendin$+
:inally the literature includes a 2ide ran$e of estimates of the impact of different
$overnment interventions and economic openness on $ro2th and poverty+ Given that it
primarily is based on reduced.form models underlyin$ structural mechanisms are
typically left out+ "hus builders of simulation models face the challen$e of e7plorin$ the
conse)uences of alternative estimates of and channels for the lin(s that have been
identified in the econometric literature+
41 D+na$&* Po3"!'+ Ana(+s&s: Mo)"( S'!*'!" an) Da'a%as"
>n this section 2e present a dynamic CGE model and a database that is
representative of an archetype SSA country+ "he model is an e7tension of the static
standard CGE model in =of$ren et al+ 8009+ >ts formulation incorporates insi$hts from
the literature on the potential channels throu$h 2hich different (inds of $overnment
spendin$ influence productivity and economic performance+
&e first situate our model in the literature on dynamic economy2ide policy
models and then describe the model structure and its database+ "he Appendi7 presents
additional information on the database+
;
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Ba*9!on)
"here have been t2o bursts of 2or( on dynamic models in the post.2ar period+
"he first 2or( pro$ram concerned neoclassical $ro2th models startin$ from the
!Solo2.S2an# model and ran from the mid.160s until the late.10s+
"his literaturefocused on the mathematical properties of a variety of optimal $ro2th models 2ith little
empirical 2or(+ "his pro$ram died out in the 1-0s lar$ely as 'arro and Sala.i.artin
816 p+ 19 ar$ue because of its !lac( of empirical relevance+#
"he second burst of 2or( 2hich started in the mid 1;0s 2as based on
!endo$enous $ro2th# models+ Considerable pro$ress has been made in developin$
analytic dynamic models that see( to incorporate the styli%ed facts of lon$.run $ro2th as
it has occurred in the past in the currently developed countries and as it is unfoldin$ in
the less developed countries in the post.2ar period+->n particular the ne2 approach has
sou$ht to !endo$eni%e# the process of technical chan$e in the models lin(in$
productivity $ro2th to factors such as 5* investment capital $ro2th 8human and
physical9 and international lin(a$es throu$h trade+;"he standard approach is to assume
that the economy ma7imi%es some (ind of intertemporal utility function and ma(es
choices re$ardin$ variables li(e the rate of savin$s investment in various (inds of
physical or human capital and investment in !research# or !(no2led$e creation# that
affect !technical chan$e# or !":P $ro2th# 2here research or (no2led$e have
elements of bein$ public $oods+ "hese theoretical models and their empirical
counterparts rely heavily on the mathematics of dynamic optimi%ation and the analysis
of alternative steady.state $ro2th paths 2ith limited discussion of !adn these models a$ents are assumed to optimi%e 2ith perfect foresi$ht and correct
(no2led$e about the forces at 2or( these models all implicitly or e7plicitly embody a
!rational e7pectations# notion of dynamic e)uilibrium+ A$ents $enerally operate in
perfectly competitive mar(ets+ Bo2ever the models are also characteri%ed by (no2led$e
diffusion spillovers and e7ternalities 2hich leads to the failure of competitive mar(ets
:or an e7tensive survey of the neoclassical $ro2th literature in this see 'urmeister and *obell 81-09+-A ma
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to achieve optimality+ "hese mar(et failures affect the behavior of a$ents and hence
$overnment policy can play a si$nificant role in determinin$ lon$.run $ro2th+
&hile the 2or( pro$ram on endo$enous $ro2th models has paid appropriate
attention to the lin(in$ of theory and empirical cross.country analysis the mathematics of
dynamic optimi%ation models constrains the !domain of applicability# of the analytic
$ro2th models+ "hese models must of necessity focus on a very fe2 drivin$ forces and
ma(e very stron$ assumptions about a$ent behavior and the 2or(in$ of mar(ets in order
to remain mathematically tractable+ *evelopin$ countries on the other hand are
characteri%ed by $reat hetero$eneity in initial conditions mar(et structures de$ree of
mar(et inte$ration nature of constraints on a$ent behavior and role of $overnment+
Since the emer$ence of the $ro2th literature there has been a considerable
althou$h narro2in$ $ap bet2een $ro2th theorists and development economists+ >n the
2ords of 'arro and Sala.i.artin !development economists H retained an applied
perspective and tended to use models that 2ere technically unsophisticated but
empirically useful+# >n development economics CGE models have become a commonly
used economy2ide approach+ "hey build on and $enerali%e earlier $enerations of
pro$rammin$ and input.output models most importantly by incorporatin$ endo$enous
prices and usin$ formulations that permit a detailed treatment of households and income
distribution+ "he CGE literature has incorporated features from and contributed to the
$ro2th literature+
"he dynamic CGE literature includes t2o strands dynamic recursive models and
optimal $ro2th models+10>n recursive models all a$ents 8private and public9 ma(e their
decisions on the basis of past and current conditions 2ith no role for for2ard.loo(in$
e7pectations about the future+ A$ents are either myopic so they do not care about the
future or i$norant nobody can or does (no2 anythin$ about the future so all behavior
must be based on information from the past+ Alternatively one can assume that the
economy is on a stable 8balanced9 $ro2th path and hence a$ents can simply assume that
the future 2ill be !li(e# the present and need no other information to behave rationally+
A recursive dynamic model can be divided into a !2ithin.period# module 8in
essence a static CGE model9 and a !bet2een.period# module that lin(s the 2ithin.period
10*ervis et al.81; pp+ 1.1;19 and *iao et al+ 81;9 e7plain the structure of recursive and
intertemporal dynamic models respectively+
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modules by updatin$ selected parameters 8typically includin$ factor supplies population
and factor productivity9 on the basis of e7o$enous trends and past endo$enous variables+
>nformation from past solution can also be used in the bet2een.period modules to
$enerate e7pectations about the future 2hich mi$ht be used to affect a$ent behavior in
later 2ithin.period modules+ *ynamic.recursive models can be and often are solved
recursively the 2ithin.period modules are solved separately in se)uence and the
bet2een.period modules are solved to provide parameters needed for the 2ithin.period
model in the succeedin$ period+
"he second strand of empirical dynamic analysis is 2ith optimal $ro2th models+
"hese may be vie2ed as an applied counterpart to the theoretical neoclassical optimal
$ro2th models used in the endo$enous $ro2th literature+ All a$ents have !rational
e7pectations# and ma(e intertemporally optimal decisions everybody (no2s
everythin$ about the future and they use that information in ma(in$ decisions+ Empirical
models in this tradition solve simultaneously for all variables in all time periods often
loo(in$ for infinite.hori%on steady.state balanced $ro2th paths+
5ecursive models are used e7tensively in empirical policy analysis 2hile
intertemporal optimal $ro2th models that can be solved analytically are more important
in the theoretical literature+ 'oth modelin$ traditions 8as 2ell as many static models9 have
incorporated features hi$hli$hted by the $ro2th literature includin$ endo$enous
determinants of productivity $ro2th+ Since they are to comple7 to solve analytically
CGE models in both traditions have to be solved empirically and are used in simulation
analysis+
>n its current formulation our model belon$s to the class of dynamic.recursive
models a$ents have no (no2led$e about the future+ >n the absence of empirical support
for the assumption that private a$ents act on the basis of perfect foresi$ht a dynamic
recursive formulation is certainly plausible for simulation analysis+ &e do not e7plicitly
specify the factors that prevent private a$ents from reali%in$ intertemporally optimal
patterns of savin$s and investment 8e+$+ mar(et imperfections credit constraints and/or
the belief that any (no2led$e about the future is too uncertain to act on9 but 2e do
e7plore the potential $ains from different policy strate$ies $iven that a$ents do not have
perfect foresi$ht+ "he model is solved for a finite hori%on and is used to e7plore the
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properties of a !$ro2th episode# characteri%ed by initial conditions particular dynamic
forces at 2or( $ro2th lin(a$es a$ent behavior institutional constraints and the len$th
of the time period+11
&e inte$rate the 2ithin.period and bet2een.period modules in one set of
simultaneous e)uations ma(in$ it possible to solve the full model in a sin$le pass for the
plannin$ hori%on+ Apart from bein$ efficient computationally this approach support
implementation non.recursive dynamic models either by addin$ an obf no policy choices are endo$eni%ed the model is !s)uare# and there is only one feasible solution+ >n this
case the addition of the ob
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defines the decisions in each time period and a bet2een.period module 2hich updates
the stoc(s of different endo2ments over time+
>n any $iven time period the e)uations capture the full circular flo2 of payments
includin$ production 8activities producin$ outputs usin$ factors and intermediate inputs9
consumption 8by households and the $overnment9 investment 8private and public9 trade
8both domestic and forei$n9 other $overnment revenue and spendin$ activities as 2ell as
the mar(et e)uilibrium conditions macro balances and dynamic updatin$ e)uations
under 2hich the a$ents operate+
Within-period module
>n essence the 2ithin.period module defines a one.period static CGE model+13>t
includes the first.order conditions for optimal production and consumption decisions
$iven available technolo$y and preferences+ "he technolo$y is defined by a nested t2o.
level structure 2ith at the top a =eontief a$$re$ation of value.added and an a$$re$ate
intermediate and at the bottom a CES a$$re$ation of primary factors and a =eontief
a$$re$ation of intermediate inputs+ Consumer demand is $iven by the linear e7penditure
system 8=ES9 derived from a ma7imi%ation of a Stone.Geary utility function sub
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"he $overnment earns most of its incomes from direct and indirect ta7es and
spends it on consumption investment and interest payments 8on its forei$n and domestic
debt9+ 5eal $overnment demand 8consumption and investment9 is e7o$enous
disa$$re$ated by function+ Accordin$ to the a$$re$ate investment function of the model
private investment is a fi7ed share of nominal absorption+
All commodities 8domestic output and imports9 enter mar(ets+ :or mar(eted
output the ratio bet2een the )uantities of e7ports and domestic sales is positively related
to the ratio bet2een the correspondin$ supply prices+ "he price received by domestic
suppliers for e7ports depends on the 2orld price the e7chan$e rate transactions costs 8to
the border9 and e7port ta7es 8if any9+ "he supply price for domestic sales is e)ual to the
price paid by domestic demanders minus the transactions cost of domestic mar(etin$
8from the supplier to the demander9 per unit of domestic sales+ >f the commodity is not
e7ported total output $oes to the domestic mar(et+
*omestic mar(et demand is the sum of demands for household mar(et
consumption $overnment consumption private and public investment intermediate
inputs and transactions 8trade and transportation9 inputs+ "ypically domestic mar(et
demands are for a composite commodity that is made up of imports and domestic output+
"he ratio bet2een the demand )uantities for imports and domestic output is a function of
the ratio of their demand prices+ "otal mar(et demand is directed to imports for
commodities that lac( domestic production and to domestic output for non.imported
commodities+ >mport prices paid by domestic demanders are determined by 2orld prices
the e7chan$e rate import tariffs and the cost of a fi7ed )uantity of transaction services
per import unit 82hich covers the cost of movin$ the commodity from the border to the
demander9+14Prices paid by demanders for domestic output include the cost of transaction
services 8in this case reflectin$ that the commodity 2as moved from the domestic
supplier to the domestic demander9+ Prices received by domestic suppliers are net of this
transactions cost+ :le7ible prices e)uilibrate demands for and supplies of domestically
mar(eted domestic output+ >n international mar(ets the small.country assumption is
14ote that these transactions costs are not ad valoremD the rates 8the ratio bet2een the mar$in and the
price 2ithout the mar$in9 chan$e 2hen there are chan$es in the prices of transactions services and/or the
commodities that are mar(eted+
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follo2ed e7port demands and import supplies are infinitely elastic at e7o$enous 2orld
prices+
>n its balance of payments the country receives forei$n e7chan$e in the form of
e7port revenue net transfers to domestic institutions forei$n borro2in$ by the
$overnment 82hich may be ne$ative if the $overnment is repayin$ debt9 forei$n $rants
and forei$n direct investment+ "hese earnin$s are allocated to imports interest payments
on forei$n debt and repatriation of profits to forei$n investors+ Amon$ these
components e7ports imports interest payments and profit repatriation are endo$enous
2hile the rest is e7o$enous in effect imposin$ a fi7ed current account deficit+
:or the three macroeconomic balances of the model $overnment balance savin$s.
investment balance and balance of payments macro closure rules are re)uired for the
model+16"his model incorporates a simple set of assumptions about ho2 macro
ad9 is the numJraire price
inde7 so all chan$es in nominal prices and incomes in simulations are relative to a fi7ed
CP>+
:inally the 2ithin.period bloc( also includes relationships definin$ ":P by
activity and individual factor productivity by factor and activity+ :or each activity t2o
sources of endo$enous chan$e in ":P are covered 8i9 chan$es in the economy.2ide
trade.G*P ratio relative to the base year ratioK1and 8ii9 chan$es in $overnment capital
stoc(s defined by functional spendin$ area+ "hese relationships are captured by various
constant.elasticity functions lin(in$ ":P or the productivity of a specific factor to
16:or a discussion of macro closures in the conte7t of the standard CGE model see =of$ren et al+ 800
pp+ 13.1-9+1"he trade to G*P ratio is defined in real terms usin$ base.year prices on the assumption that ":P is
related to chan$es in real variables not relevant mar(et shares+
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different types of $overnment e7penditure and trade+ "he elasticity parameters are
activity. factor. and function.specific ma(in$ it possible to specify different channels
and ma$nitudes for the productivity effects of different types of $overnment spendin$+
Between-period module
"he bet2een.period module covers the lin(s bet2een time periods+ >t includes
e)uations that define the stoc(s of different assets factors 8land labor and private
capital9 $overnment capital stoc(s and forei$n debt 8held by the $overnment9+ All stoc(s
are associated 2ith specific institutions+ "his information is used to define the shares of
each institution in total income of each factor and the interest payments of the
$overnment to the rest of the 2orld+
=abor and land stoc(s are updated on the basis of e7o$enous trends+ "he
population in each time period is also e7o$enous+ "he accumulation of private and
$overnment capital stoc(s and forei$n $overnment debt is endo$enous+ :or both capital
cate$ories the stoc( in any $iven year depends on past stoc(s ne2 investment and the
depreciation rate+ >n the accumulation e)uation for $overnment capital real investment is
broadly defined to include both current and capital spendin$+ "he stoc( of forei$n debt
depends on past stoc(s and ne2 borro2in$+
"he model is solved annually for the period 1;.016+ Each model solution
$enerates an e7tensive economy2ide set of results coverin$ sectoral household and
macro data in each solution period+ >n our analysis 2e summari%e this information in a
set of indicators includin$ data on macroeconomic $ro2th chan$es in the structure of
production and trade and the evolution of disa$$re$ated household 2elfare and poverty+
"he poverty indicators are computed on the basis of a representative.household
85B9 approach in a separate poverty module+ >n this module the 2ithin.$roup household
distribution is specified by a lo$normal fre)uency function+ "he 1; poverty lines in
rural and urban areas are calibrated to e7o$enous poverty ratesK 2e use a lo$ standard
error of 0+36 for all 5Bs 8household $roups in the model9+ >n the computation of poverty
indicators for each simulation the CGE model feeds the poverty module 2ith simulated
data for mean consumption and CP> for each 5B+1-
1-:or further details and a discussion of alternative approaches to poverty and ine)uality analysis in a CGE
frame2or( see =of$ren et al+ 80039+
1
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Da'a%as": S'!*'!a( f"a'!"s of an a!*#"'+7" *on'!+ &n SSA
"he model database 2hich captures the structural features of an archetype
country in SSA consists of a SA data on labor force and population and various
elasticity parameters for functions specifyin$ production import demand e7port supplyconsumer e7penditures and lin(s bet2een $overnment investment trade and sectoral
total factor productivity+
"he SA 2as constructed on the basis of a database e7tracted from the &orld
*evelopment >ndicators that covered most countries in SSA 8&orld 'an( 0019 and a
disa$$re$ated SA for Fimbab2e dra2in$ on information in other SSA SAs+ 1;As a
first step the &orld 'an( database 2as used to build a acro SA for SSA 8e7cludin$
South Africa9 see "able + "able 3 summari%es part of the information in the acro
SA in a more familiar table format includin$ some additional items and compares the
fi$ures for SSA to all developin$ countries+
>n the construction of the acro SA data for the different countries in the
re$ion 2ere 2ei$hted by G*P share+ Each entry 2as normali%ed to shares of G*P at
mar(et prices+ "ables and 3 indicate that on the spendin$ side private consumption is
the main item -6+6 percent of G*PK out of this 4+6 percent of G*P is home
consumption+ Absorption 8the sum of private and $overnment consumption and
investment9 is 10 percent of G*P 2hich implies a trade deficit of percent+ "otal
forei$n trade 8sum of e7ports and imports9 accounts for close to -0 percent of G*P+
"able 1+ odel disa$$re$ation
Account cate$ory *isa$$re$ation
Activities 8149 A$riculture 89 =ar$e.scale e7port crop small.scale e7port crop
lar$e.scale non.e7port crop small.scale non.e7port crop lar$e.
scale livestoc( small.scale livestoc(
>ndustry 849 inin$ :ood.fiber *omestic manufacturin$ >mport.substitutin$ manufacturin$
Services 849 Construction "rade and transportation Public
services ?ther services
:actors 869 =abor 89 Lns(illed S(illed
1;>:P5> research pro
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Capital
=and 89 =ar$e.scale Small.scale
>nstitutions and
related accounts
819
Bouseholds 5ural upper.income 5ural lo2er.income Lrban
upper.income Lrban lo2er.income
GovernmentAu7iliary $overnment accounts interest paymentsK ta7 accounts
8direct ta7es e7port ta7es import tariffs other indirect ta7es9
5est of the 2orld
Savin$s.>nvestment account 8consolidated9
ote "he model also includes commodities one for each activity e7cept for lar$e.scale e7port crop and
small.scale e7port crop activities 2hich produce the same commodity+
>nvestment 80 percent of G*P9 is financed in rou$hly e)ual shares by private$overnment and forei$n savin$s 8the current.account deficit9+ *ue to a surplus in non.
trade items in the current account the current.account deficit is smaller than the trade
deficit+ Current $overnment operations represent 1 percent of G*P+ ?n the spendin$
side consumption is the main item 814 percent of G*P9+ "he ma
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"able 3+ acro a$$re$ates for SSA and all developin$ countries 1; 8M of G*P at mar(et
prices9
>tem SSAAll developin$
countriesPrivate consumption 8C9 -4+ 1+;
>nvestment 8>9 0+1 3+6
Government consumption 8G9 13+ 14+0
E7ports 8N9 30+ -+1
>mports 89 3+1 +6
Absorption 8O C > G9 10;+ +3
G*P at mar(et prices 8G*POC>GN.9 100+0 100+0
et indirect ta7es 8"9 ;+ 0+4
G*P at factor cost 8OG*P D "9 1+1 +
Source &orld 'an( 80019 and authors@ calculations
to a sli$htly positive trade balance9+ :or the full micro SA see =of$ren 80049K
the appendi7 to the current paper includes tables that sho2 the (ey parts of the database
that are related to income distribution+ "he micro SA 2as built by disa$$re$atin$ the
information in the macro SA startin$ from information in a Fimbab2e micro SA+ >n
addition to the information in the macro SA SSA avera$es for the shares of a$riculturein value.added e7ports and imports 2ere also imposed usin$ &orld 'an( data+1
"ables 4 D summari%e the sectoral structure household income sources livin$
standards and the rural.urban dichotomy of our styli%ed SSA economy+ "able 4 indicates
that the a$ricultural sector dominates employment and accounts for rou$hly half of total
e7ports but only a small part of imports+ A lar$e part of a$ricultural output is e7ported
2hile the share of imports in its final demand is miniscule a$riculture produces a mi7
of traded and non.traded $oods+ "able 6 sho2s ho2 the different representative
household $roups ma(e their livin$ in both rural and urban re$ions upper.income
households earn incomes from s(illed labor and rely more stron$ly on capital income+
5ural households earn income from lar$e.scale and small.scale land respectively+ "he
1"he archetype SA 2as balanced usin$ a cross.entropy estimation techni)ue+ See 5obinson et al+80019+
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"able 4 Economic structure in base year 8M9
Sectoralueadded
?utputEmploy.
mentE7ports
E7port/?utput
>mports>mport/
final demand
8M9
E7port crops 1;+4 11+4 16+ 4+4 + 0+1 1+
?ther crops ;+0 4+ 1+1 1+4 +- 0+3 +-
=ivestoc( 6+6 4+3 0+- 0+4 1+ D D
inin$ 4+0 3+ 1+1 +3 36+; 1+1 11+6
:ood.fiber ;+ 1+4 3+0 3+ 3+ 4+- +-
*omestic manufacturin$ 4+ +3 6+0 1+ 3+- 4+4 1-+- >mport.substitutin$ +1 1+; + 13+0 16+ 6+4 3+6
Construction +4 + + D D D D
"rade and transportation 13+; 16+ 11+3 D D D D
Public services 10+4 ;+6 6+; D D D D ?ther services 14+ 13+4 11+- 4+- 33+ 3+ 3+
"otal 100+0 100+0 100+0 100+0 1+3 100+0 +
A$riculture 3+0 0+6 6-+0 4;+ 40+4 0+4 1+3
on.a$riculture ;+0 -+6 43+0 61+; 10+ + ;+
"otal 100+0 100+0 100+0 100+0 1+3 100+0 +
Source SSA 1; SA+
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"able 6+ Bousehold income sources in base year 8M9
Sources
Bouseholds
Lns(illed
labor
S(illed
laborCapital
=ar$e.
scale land
Small.
scale
land
5est of
the
&orld
et
*omestic
"ransfers
"otal
5ural
Lpper.income + 4;+ 1;+- 3+1 100+0
=o2er.income 6+1 1-+4 10+3 1+3 0+ 100+0
Lrban
Lpper.income 61+4 43+4 +6 +; 100+0
=o2er.income -;+ +0 16+ 100+0
Source =of$ren 80049+
ote et domestic transfers are net transfer receipts from other households and the $overnment+ alue is
only sho2ed in the table 8as income9 if the net is positive+
"able + Bousehold poverty and population data 8M9
Per.capita
income
Bead.count
poverty
rates
Population
shares
Poor
population
shares
5ural
Lpper.income 224.3 0.0 16.4 0.0
=o2er.income 21.9 72.5 49.3 84.4
Lrban
Lpper.income 315.3 0.0 13.7 0.0
=o2er.income 44.3 32.0 20.6 15.6
"otal100.0 42.3 100.0 100.0
5ural 72.5 54.4 65.7 84.7
Lrban 152.7 19.2 34.3 15.6
Source SSA 1; SA+
ote Per.capita income is inde7ed so that the economy2ide avera$e is 100+
income sources of urban households are less diversified especially for lo2.
income $roups 2ho earn almost all of their income from uns(illed labor+ 5ural lo2.
income households have a diversified income profile 2ith uns(illed labor dominatin$ but
also 2ith substantial shares for capital and land+ Accordin$ to "able the national head.
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count poverty rate is 4+3 percent+ 5ural areas 2hich account for some t2o thirds of the
population have lo2er per capita incomes and constitute a lar$e of the poor+
"able - sho2s the empirical ":P lin(a$e elasticities on 2hich the elasticity
parameters for our productivity functions are based+ "he elasticities in the model
productivity functions have been scaled on the basis of the share of base.year economy
represented by the activities or factors to 2hich the productivity effect is directed+0
"able -+ ":P lin(a$e elasticity parametersGovernment
e7penditurecate$ory
":P lin(elasticity value
Standard error of
estimatedelasticity =in(a$e channel
A$riculture 0.052 0.024 ":P in a$riculture
Buman Capital 0.115 n.a. =abor productivity in all non.minin$ sectors
*efense -0.182 0.034 ":P in all non.minin$ sectors
"ransportation 0.021 0.021":P in trade services 8stron$ effect9K ":P in
other non.minin sectors 2ea( effect
?ther 0 n.a. one+
otes Elasticity estimates and t statistics are based on :an and 5ao 80049+ Buman capital is an
a$$re$ation of education and health 2ith the elasticity calibrated to $ive the same G*P $ro2th as 2hen thedisa$$re$ated :an.5ao elasticities are used+ =in(a$e channels are incorporated in the dynamic CGE model+
Appendi7 "ables A+1 and A+ sho2 the central.case values of the elasticities for
trade production and consumption+ >n the process of selectin$ these values econometric
and other model.based studies of SSA 2ere consulted+ &e analy%e the sensitivity of
simulated results to chan$es in trade elasticities+
"he model replicates ma
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01 S&$(a'&ons
&e use the model to e7plore the impact of alternative policies on lon$.run $ro2th
and poverty in SSA+ ?ur startin$ point is a dynamic base simulation that provides a
benchmar( a$ainst 2hich the other scenarios are compared+
Bas" S&$(a'&on
>n the base simulation $overnment demand 8both consumption and investment
and across all functional areas9 $ro2s by 1+ percent per year a rate that is calibrated to
maintain the base.year absorption share for this demand cate$ory+ "he base.year shares
are also maintained throu$hout the simulation period for the other parts of absorption
private investment and household consumption for private investment $iven that this
demand cate$ory also is fi7ed as a share of absorption and for household consumption as
the residual demand type+
ost real macro a$$re$ates includin$ real household consumption $ro2 at
annual rates of bet2een 1+6 and +0 percent+ 8"ables and 10 provide a result summary+9
"his ran$e of $ro2th rates also holds for all a$$re$ate production sectors e7cept minin$
for 2hich %ero $ro2th is imposed 8an assumption that may be seen as reflectin$ a
$overnment decision on the rate of natural resource e7traction9+ "he endo$enous annual
rate of ":P $ro2th is very close to %ero+ Bousehold consumption and the rest of the
economy $ro2 at a rate that is very close to the population $ro2th rate 8 percent9
leavin$ $ro2th in total household per.capita consumption 8our a$$re$ate 2elfare
indicator9 close to %ero 2ith $ro2th rates that are sli$htly positive in rural areas and
sli$htly ne$ative in urban areas+ "he headcount poverty rate 8P09 also remains rou$hly
the same it re$isters a sli$ht increase from 4+3 percent to 4+- percent+ "he poverty
$ap and the s)uared poverty $ap 8P1 and P9 are also unchan$ed+ Given so little chan$e
in poverty measures and mean per.capita consumption the poverty elasticities for the
base simulation contain little information+
reported in this study 8treatin$ each simulation as an observation9+:or the simulations that $enerate si$nificant chan$es in mean per.capita consumption and the headcount
poverty rate the elasticity is typically bet2een D1+6 and D+0 values that are 2ell 2ithin the ran$e observed
in the literature 8Easterly 000 p+ 149+ "he elasticities for the poverty $ap and the s)uared poverty $ap arealso in line 2ith e7pectations+
4
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P%(&* S7"n)&n S&$(a'&ons: R"a((o*a'&on 'o Ta!"' A!"as
"he assumptions for the non.base simulations are presented in "able ;+ "he
results for the first set are summari%ed alon$ 2ith results for the base simulation in
"ables and 10+ "hese simulations all involve reallocatin$ $overnment demand into
alternative priority areas 2hile (eepin$ the real $ro2th of total $overnment demand
constant+ Lnless other2ise noted in year 819 10 percent of total $overnment
spendin$ is moved from 2hat is classified as !other# 82hich has no productivity effects9
into one or more priority areas i+e+ a reallocation that in the base year corresponds to 1+
percent of G*P or 10 percent of $overnment demand+ After this $overnment demands in
all functional areas $ro2 at the same annual rate across all $overnment functions 81+
percent9+ >n the first e7periment AG5> $overnment spendin$ is reallocated to
a$riculture in 1 raisin$ its share of G*P 0+ to +; percent+ "his intervention has a
positive impact on overall economic performance and poverty reduction+ Annual $ro2th
in most macro a$$re$ates increases by around 0+4 percent+ As e7pected annual
a$ricultural G*P $ro2th increases more rapidly 8by 0+ percent9 2hile the terms of trade
for a$riculture relative to non.a$riculture deteriorates+ "he terminal.year poverty
headcount rate is five percenta$e points lo2er than for the base scenario+ "his scenario
reinforces the pro.rural trends of the base scenario+ >n rural areas per.capita consumptionre$isters a positive $ro2th rate and the rural poverty headcount rate declines sli$htly
compared to 1;+3
>n 1; $overnment spendin$ on transportation and communication 2as similar
in si%e to a$ricultural spendin$+ >n the second e7periment "5S spendin$ in this area in
1 increases from 0+; to + of G*P+ Given a lo2er elasticity the a$$re$ate effect of
e7pandin$ $overnment spendin$ in this area is 2ea(er inducin$ an overall $ro2th
"able ;+ Assumptions for non.base simulations
Simulation name *escription
3>n this scenario neither poverty nor per.capita consumption chan$e much compared to 1;+ As a resultthe recorded poverty elasticities are not informative+
6
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AG5> shift in $overnment spendin$ from !other# to a$riculture
"5S shift in $overnment spendin$ from !other# to transportation
BCAP shift in $overnment spendin$ from !other# to human capital
*E: shift in $overnment spendin$ from !other# to defense
AG."5.BCshift in $overnment spendin$ from !other# to a$riculture transportation and human
capitalAG5> e7pansion in $overnment spendin$ on a$riculture 2ith domestic financin$
"5S e7pansion in $overnment spendin$ on transportation 2ith domestic financin$
BCAP e7pansion in $overnment spendin$ on human capital 2ith domestic financin$
AG5>: e7pansion in $overnment spendin$ on a$riculture 2ith forei$n $rant financin$
"5S: e7pansion in $overnment spendin$ on transportation 2ith forei$n $rant financin$
BCAP: e7pansion in $overnment spendin$ on human capital 2ith forei$n $rant financin$
"5S.E=shift in $overnment spendin$ from !other# to transportation 2ith a$$re$ate ":Pelasticity of a$riculture
BCAP.E=
shift in $overnment spendin$ from !other# to human capital 2ith entire productivity
$ain to uns(illed labor
*EP5.03 reduction of public capital stoc( depreciation rate from 6 percent to 3 percent
AG5>.B> same as AG5> but 2ith hi$h 8doubled9 trade elasticities
AG5>.=? same as AG5> but 2ith lo2 8halved9 trade elasticities
otes >n all public.spendin$ simulations e7pansion or reallocation refers to a chan$e in 1
correspondin$ to 10 percent of 1; $overnment demand 8or 1+ percent of G*P9+ Startin$ from 1 all$overnment demand areas $ro2 at a uniform annual real rate of 1+ percent+ Lnless other2ise noted 2e
use the elasticities in "able -
e7pansion and a decline in headcount poverty that is sli$htly less than half as
stron$ as for AG5>+ Compared to AG5> the sectoral pattern of $ains is more even
includin$ a considerably smaller $ro2th $ain for a$riculture+ Performance accordin$ to
per.capita consumption and the different poverty indicators is more positive than under
the base scenario but less positive than for AG5>+
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"able + Scenarios for reallocation of public spendin$ summary results
1; 'ASE AG5> "5S BCAP *E: AG."5.BC
Annual $ro2th rates 1;.016 8M9
Absorption 4+3- 1+;3 +1- 1+ +01 0+03 +0-
Bousehold consumption 341+ 1+;; +31 +04 +1 .0+6 +1
Gov+ consumption inv@ment ;6;+0 1+1 1+1 1+1 1+1 1+1 1+1
Private investment 4+1 1+4 1+- 1+6- 1+1 0+11 1+
E7ports 13--+60 1+-3 +3 1+0 1+- .0+-- +0
>mports 1-;4+-; 1+- +13 1+- 1+;4 .0+0- 1+
5eal e7chan$e rate 100+00 0+06 .0+1 0+06 0+0 .0+1 0+0
A$ric/non.a$ric terms of trade 100+00 0+1 .0+66 0+3 0+; .0+11 0+0;
"otal G*P 8at factor cost9 416;+3 1+0 +- +04 +1 .0+14 +1-
A$riculture 13+11 1+- +;6 +13 +1; .0+34 +3
inin$ 1+64 0+00
?ther industry 3;+1; 1+ 1+1 1+;0 1+;4 .0+14 1+;-
Government services 430+4 +06 +0; +14 +1 0+3 +1
?ther services 113+11 +1- + +3- +60 .0+44 +4
":P inde7 100+00 .0+01 0+ 0+11 0+1; .1+-- 0+
"otal factor income 416;+3 1+; + +00 +06 .0+1- +1
Private capital 1;-3+- 1+-- +1 1+; +01 0+03 +0
=and 3-+;- 3+44 3+ 3+ 3+ 0+1 3+
=o2 s(illed labor 643+ 1+-1 +11 1+;- 1+;6 .0+66 1+3
Bi$h s(illed labor 13-+0 1+63 1+ 1+ 1+6 .0+4 1+
Percenta$e point deviations from 1; values
5atios to G*P 8M9
>nvestment 0+11 0+30 .0+14 0+1 0+13 +3; 0+06
Government e7penditure 3+ 0+10 .0+4 .0+01 .0+0; +4- .0+1-
Private savin$ +;; 0+66 0+6- 0+30 0+01 4+3 0+11
Government savin$ +1 .0+ .0+61 .0+41 .0+13 .6+3- .0+1;
:orei$n savin$ -+04 0+44 .0+0 0+ 0+6 +; 0+1
Poverty headcount rate 8P09 4+31 0+3 .4+0 .1+0 .+4 0+3 .3+14
otes All )uantity variables are in real terms+ >ncome variables are deflated by the consumer price inde7 8CP>9+ "he
real e7chan$e rate is price level deflatedK the price inde7 used is the CP>+
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"able 10+ Scenarios for reallocation public spendin$ 2elfare indicators
1; 'ASE AG5> "5S BCAP *E: AG."5.BC
Annual $ro2th rates 1;.016 8M9
Bousehold consumption per capita
5ural upper income 66+30 0+14 0+64 0+3 0+46 .+6 0+60
5ural lo2er income 0+1; 0+1 0+;3 0+3- 0+4 .+06 0+6
Lrban upper income ;04+-; .0+ 0+0 .0+14 .0+11 .+66 .0+04
Lrban lo2er income 113+6- .0+31 0+11 .0+1- .0+1 .+3; .0+0
Avera$e all households 64+1 .0+0; 0+34 0+0 0+1 .+4 0+3
5ural 1;3+1 0+16 0+1 0+33 0+4 .+40 0+6
Lrban 30+0 .0+30 0+0 .0+16 .0+1 .+6 .0+06
Percenta$e point deviations from 1; values
Poverty headcount P0
"otal 4+31 0+3 .4+0 .1+0 .+4 0+3 .3+14
5ural 64+3- .1+1 .+3- .3+3- .4+60 1-+6 .6+6
Lrban 1+0 3+30 .1+0 1+;0 +10 +40 0+0
Elasticity .0+-0 .1+;0 .+6 .1+4 .1+3 .1+;;
Poverty $ap P1
"otal 11+6 .0+0; .+1 .0+3 .1+ 13+; .1+
5ural 16+ .0+6 .3+0; .1+- .+6 16+;0 .+0
Lrban 3+ 0+0 .0+ 0+4; 0+64 10+04 0+
Elasticity 0+6 .3+0 .6+4; .4+11 .3+4- .3+6-
S)uared poverty $ap P
"otal 4+- .0+0 .1+00 .0+4; .0+6 ;+01 .0+-
5ural 6+6 .0+ .1+4- .0+; .1+0 +4 .1+6
Lrban 1+06 0+31 .0+10 0+1- 0+1; 4+33 0+0
Elasticity 1+60 .3+; .-+1 .6+0 .6+43 .4+-
otes Bousehold consumption is real per capita consumption+ Elasticities for P0 P1 and P are the ratios
bet2een the percent chan$e in the poverty indicator and the percent chan$e in a$$re$ate per capitaconsumption+
>n the BCAP simulation the G*P share of $overnment e7penditure on health and
education e7pands from 3+ percent to 6+; percent 8i+e+ a much smaller relative increase
in spendin$ in the tar$eted area relative to the simulations AG5> and "5S9+ "he $ro2th
rate of G*P $oes from 1+ percent in the base run to +1 percent a moderate increase+
"he poverty headcount falls by + percenta$e points relative to the terminal.year value
for the base simulation 2ith the lar$est percenta$e point decline in rural areas+ Bo2ever
compared to the scenario AG5> poverty declines less stron$ly every2here+
Accordin$ to the empirical estimates of the ":P lin(a$e elasticities the impact of
defense spendin$ on G*P is very ne$ative+ "his relationship should be vie2ed as
capturin$ not only the opportunity cost of the resources allocated to defense but also
other factors that are associated 2ith hi$h defense spendin$ such as 2ars civil strife and
;
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an unfavorable business climate+ "he scenario *E: assumes an increased allocation of
$overnment e7penditure to defense amountin$ to about 1+; percent of G*P 8from 0+
percent to +4 percent9+ "he results are very detrimental for $ro2th and poverty reduction+
"he G*P $ro2th rate turns ne$ative chan$in$ from 1+ percent in the base run to .0+1
percent and the terminal.year poverty headcount rate is 0 percenta$e points hi$her than
for the base simulation almost a 60 percent increase in poverty+ Avoidin$ civil strife and
the disruptions associated 2ith hi$her defense e7penditures is clearly very important+
"he final simulation AG."5.BC tests the impact of a simultaneous increase in
the three areas of $overnment spendin$ for 2hich positive effects 2ere reported above
a$riculture transportation and human capital+ >n each area spendin$ is set to increase by
around 1+ percent of G*P in the base year at the e7pense of the area of !other#
$overnment spendin$ for 2hich spendin$ declines drastically bet2een 1; and 1
from 10+- to 6+1 percent of G*P+ "he resultin$ $ro2th acceleration is positive but 2ea(er
than 2hen reallocated spendin$ e7clusively is channeled to a$riculture 8AG5>9+ "he
terminal.year headcount poverty rate is +- percenta$e points lo2er than under the base
simulation+ "he $ains in consumption and poverty reduction are limited to rural
households 2hereas the urban households e7perience a small loss+
P%(&* S7"n)&n S&$(a'&ons: E87ans&on &n Ta!"' A!"as
"he precedin$ set of public e7penditure simulations all assumed that the$overnment reallocated spendin$ from non.productive areas+ Alternatively the
$overnment may increase spendin$ relyin$ either on domestic or forei$n financin$+ "he
second set of simulations involves e7panded spendin$ of the same ma$nitude and in the
same three areas a$riculture transportation and human capital as in the precedin$
simulations but 2ithout accompanyin$ cuts in spendin$ on other unproductive areas+ "he
results are summari%ed in "ables 11 and 1+
>n the first three simulations 8AG5> "5S and BCAP9 this spendin$
e7pansion is financed from domestic resources re)uirin$ the allocation of additional
private resources to finance domestic private investment+ A comparison bet2een the
"able 11+ Scenarios for e7pandin$ public spendin$ summary results
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'ASE AG5> "5S BCAP AG5>: "5S: BCAP:
Annual $ro2th rates 1;.016 8M9
Absorption 1+;3 +1- 1+ +01 +36 +11 +14
Bousehold consumption 1+;; +1 1+0 1+; +3 +10 +14
Gov+ consumption inv@ment 1+1 +4; +4; +4; +4; +4; +4;
Private investment 1+4 1+-; 1+6 1+6 1+- 1+- 1+-3
E7ports 1+-3 +3 1+1 1+; + 1+- 1+;>mports 1+- +13 1+;0 1+;4 +3 +00 +00
5eal e7chan$e rate 0+06 .0+1 0+06 0+0 .0+4 .0+06 .0+03
A$ric/non.a$ric terms of trade 0+1 .0+0 0+1- 0+ .0+4 0+16 0+1
"otal G*P 8at factor cost9 1+0 +- +06 +1 +33 +10 +1-
A$riculture 1+- +;1 +0; +13 +;1 +0 +16
inin$ 0+00 0+00
?ther industry 1+ 1+; 1+-6 1+- 1+ 1+;4 1+;
Government services +06 +3; +43 +60 +44 +4; +66
?ther services +1- +1 +34 +4; +30 +4 +66
":P inde7 .0+01 0+ 0+1 0+1; 0+; 0+11 0+1;
"otal factor income 1+; +- +00 +06 +34 +0- +11
Private capital 1+-- +13 1+0 +0 +0 1+ +0- =and 3+44 3+; 3+6; 3+;1 3+- 3+6 3+;
=o2 s(illed labor 1+-1 +04 1+;0 1+-; +0 1+4 1+0
Bi$h s(illed labor 1+63 +0 1+-3 1+ +1 1+;1 1+-0
Percenta$e point deviations from 1; values
5atios to G*P 8M9
>nvestment 0+30 0+3- 0+- 0+ 0+6; 0+; 0+-
Government e7penditure 0+10 0+13 0+6- 0+61 .0+0; 0+3- 0+36
Private savin$ 0+66 +3; +13 1+;1 0+6- 0+6 0+6
Government savin$ .0+ .1+;1 .1+-1 .1+40 .1+- .1+ .1+3;
:orei$n savin$ 0+44 .0+0 0+30 0+6 1+;0 +0 1+1
Poverty headcount rate 8P09 0+3 .+6- 0+64 .0+0 .6+40 .+06 .+34
otes All )uantity variables are in real terms+ >ncome variables are deflated by the consumer price inde7 8CP>9+ "hereal e7chan$e rate is price level deflatedK the price inde7 used is the CP>+
results in "ables 11 and sho2s that a$$re$ate spendin$ e7pansion leads to smaller
increases in a$$re$ate household consumption and final.year poverty headcount rates that
are around t2o percenta$e points hi$her+ >n t2o areas 8a$riculture and human capital9
the poverty rate still declines compared to the final.year base value 2hereas for the third
area 8transportation 2hich has the lo2est productivity elasticity9 poverty increases as a
result of increased $overnment spendin$+ "hese results indicate that unless it is
sufficiently productive e7panded public spendin$ has ne$ative effects on economic
performance+ At a more disa$$re$ated level the chan$es in rural and urban household
"able 1+ Scenarios for e7pandin$ public spendin$ 2elfare indicators
'ASE AG5> "5S BCAP AG5>: "5S: BCAP:
Annual $ro2th rates 1;.016 8M9
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Bousehold consumption per capita
5ural upper income 0+14 0+3- 0+16 0+; 0+-1 0+3 0+4;
5ural lo2er income 0+1 0+ 0+1 0+30 0+-0 1+0; 0+6;
Lrban upper income .0+ .0+0 .0+6 .0+1 0+1- .0+04 .0+06
Lrban lo2er income .0+31 0+0 .0+- .0+ 0+1 .0+- .0+10
Avera$e all households .0+0; 0+1 .0+0 0+0 0+43 0+14 0+1
5ural 0+16 0+44 0+1 0+; 0+-1 0+46 0+60
Lrban .0+30 .0+0 .0+6 .0+3 0+1 .0+16 .0+0
Percenta$e point deviations from 1; values
Poverty headcount P0
"otal 0+3 .+6- 0+64 .0+0 .6+;3 .0+3 .3+04
5ural .1+1 .3+-6 .0+-6 .1+;- .;+6 .4+;- .6+6
Lrban 3+30 .0+30 3+00 3+00 .1+0 -+60 1+0
Elasticity .0+-0 .1+-1 .1+3 .1+40 .1+;4 .0+0 .1+4
Poverty $ap P1
"otal .0+0; .1+4 0+03 .0+30 .+6; .0+- .1+66
5ural .0+6 .1+; .0+36 .0+; .3+-; .+ .+61
Lrban 0+0 .0+06 0+- 0+;3 .0+ +10 0+
Elasticity 0+6 .3+04 .0+31 .-+6- .+ .+-- .3+4
S)uared poverty $ap P
"otal .0+0 .0+0 .0+0 .0+1 .1+1 .0+4- .0+-
5ural .0+ .0+1 .0+1- .0+44 .1+- .1+11 .1+1
Lrban 0+31 .0+0 0+ 0+ .0+10 0+-6 0+10
Elasticity 1+60 .3+; 0+6 .1+ .3+-; .4+4; .4+;3
otes Bousehold consumption is real per capita consumption+ Elasticities for P0 P1 and P are the ratiosbet2een the percent chan$e in the poverty indicator and the percent chan$e in a$$re$ate per capita
consumption+
consumption $ro2th are similar+ Bo2ever $iven that the non.poor rural
population is relatively close to the poverty line rural poverty rates are relativelysensitive to small chan$es in household consumption $ro2th+
>n the ne7t three simulations 8AG5>: "5S: and BCAP:9 this spendin$
e7pansion is accompanied by an e7pansion in forei$n $rants that maintains total savin$s
at a level sufficient to finance an unchan$ed absorption share for private investment+4A
comparison bet2een the results across the different scenarios in "able 11 sho2s that the
availability of forei$n financin$ has a salutary impact on household consumption and
poverty reduction+ "his is e7pected since it permits the country to enn 1 the year of the spendin$
e7pansion forei$n $rants
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percent9+ After this they decline $radually in the final year e7ceedin$ the base.year
value by some 1+6.+0 percent of G*P+ "his increased inflo2 of forei$n resources
$enerates a sli$ht appreciation of the real e7chan$e rate for the period as a 2hole at an
annual rate of 0+1 percent+
S"ns&'&3&'+ Ana(+s&s
"he final set of simulations e7plores the sensitivity of the results to alternative
values for model parameters that are particularly uncertain and may be important in the
conte7t of the current set of simulations productivity elasticities and lin(a$es
depreciation rates for public capital stoc(s and trade elasticities+ "he results are
summari%ed in "ables 13 and 14+
"he first t2o simulations analy%e the sensitivity of the results to chan$es in public
e7penditure elasticities+ "he estimated ":P lin(a$e elasticity for public e7penditure on
transportation is modest relative to some other empirical findin$s 8cf+ Bulten 1 and
Easterly and 5ebelo 13 pp+ and 149 + >n the simulation "5S.E= 2e set the
transportation elasticity at the level of the a$ricultural elasticity 8an increase that
corresponds to around 1+6 standard deviations9+ Apart from this the simulation is
identical to the earlier transportation scenario 8"5S9+ Compared to the base simulation
the impact is a modest acceleration in a$$re$ate G*P $ro2th 8by 0+3 percenta$e points
2ith stron$er $ains 2ithin services and a$riculture9 and a stron$ $ain in povertyreduction as the final.year rate is 6+; percenta$e points belo2 the 1; level+ Compared
to the scenario 2here spendin$ is reallocated to a$riculture 8AG5>9 a$$re$ate $ro2th is
very similar 8but sli$htly stron$er9+ As opposed to the a$ricultural scenario under this
ne2 scenario terms of trade shifts in favor of a$riculture 2hile the distribution of factor
incomes shifts in favor of land and to a lesser e7tent uns(illed labor+ Given the fact that
a disproportionate share of the rural population is near poor this distributional shift is
pro.poor reducin$ the final.year national headcount poverty rate by 1+ percenta$e
points more than for AG5>+ Since the urban poverty rate does not chan$e this decline is
entirely due to 2hat happens to rural poverty+
"able 13+ Sensitivity analysis summary results
'ASE "5S.E= BCAP.E= *EP5.03 AG5> AG5>.B> AG5>.=?
Annual $ro2th rates 1;.016 8M9
Absorption 1+;3 + 1+ +0 +1- +1 +0-
Bousehold consumption 1+;; +3 +10 +1- +31 +3 +-
3
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Gov+ consumption inv@ment 1+1 1+1 1+1 1+1 1+1 1+ 1+;
Private investment 1+4 1+-3 1+61 1+6 1+- +0 1+;
E7ports 1+-3 + 1+;4 +0- +3 +41 +
>mports 1+- +0 1+-4 1+1 +13 +1- +0
5eal e7chan$e rate 0+06 0+06 0+10 0+0 .0+1 .0+01 .0+60
A$ric/non.a$ric terms of trade 0+1 0+ .0+0 0+0 .0+66 .0+33 .1+11
"otal G*P 8at factor cost9 1+0 +34 +14 +1 +- +30 +1
A$riculture 1+- +4 +4- +36 +;6 +;4 +;4
inin$ 0+00 0+00 0+00
?ther industry 1+ +03 1+-4 1+;- 1+1 1+ 1+-;
Government services +06 +33 +11 +1 +0; +10 +00
?ther services +1- +- +3 +46 + + +13
":P inde7 .0+01 0+3- 0+ 0+1 0+ 0+ 0+
"otal factor income 1+; +30 +01 +11 + +; +4
Private capital 1+-- +1 1+ +06 +1 +0 +
=and 3+44 4+0 3+4- 3+4 3+ 4+00 3+6
=o2 s(illed labor 1+-1 +1; 1+1- 1+ +11 +1 1+1
Bi$h s(illed labor 1+63 1+3 1+1 1+; 1+ +0- 1+;4
Percenta$e point deviations from 1; values
5atios to G*P 8M9
>nvestment 0+30 .0+0 0+6 0+0 .0+14 .0+31 0+0
Government e7penditure 0+10 .0+4 0+0 .0+1 .0+4 .0+3 .0+1
Private savin$ 0+66 .0+1 0+- 0+13 0+6- 0+64 0+-
Government savin$ .0+ 0+1 .0+;- .0+0 .0+61 .0+0 .0+3
:orei$n savin$ 0+44 0+00 0+3 0+14 .0+0 .0+6 .0+0
Poverty headcount rate 8P09 0+3 .6+;3 .0+3 .3+04 .4+0 .4+6 .3+66
otes All )uantity variables are in real terms+ >ncome variables are deflated by the consumer price inde7 8CP>9+ "hereal e7chan$e rate is price level deflatedK the price inde7 used is the CP>+
"he second simulation in "ables 13 and 14 BCAP.E= repeats the reallocation of
spendin$ in favor of human capital 8as for the simulation BCAP9 2ith an ad AG5>.B> AG5>.=?
Annual $ro2th rates 1;.016 8M9
Bousehold consumption per capita
5ural upper income 0+14 0+-1 0+3 0+4; 0+64 0+66 0+6
5ural lo2er income 0+1 0+-0 1+0; 0+6; 0+;3 0+;3 0+;
33
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Lrban upper income .0+ 0+1- .0+04 .0+06 0+0 0+11 0+06
Lrban lo2er income .0+31 0+1 .0+- .0+10 0+11 0+16 0+0
Avera$e all households .0+0; 0+43 0+14 0+1 0+34 0+3 0+31
5ural 0+16 0+-1 0+46 0+60 0+1 0+ 0+6
Lrban .0+30 0+1 .0+16 .0+0 0+0 0+1 0+06
Percenta$e point deviations from 1; values
Poverty headcount P0
"otal 0+3 .6+;3 .0+3 .3+04 .4+0 .4+6 .3+66
5ural .1+1 .;+6 .4+;- .6+6 .+3- .+-6 .6+6
Lrban 3+30 .1+0 -+60 1+0 .1+0 .1+60 .0+30
Elasticity .0+-0 .1+;4 .0+0 .1+4 .1+;0 .1+;6 .1+66
Poverty $ap P1
"otal .0+0; .+6; .0+- .1+66 .+1 .+- .1+-1
5ural .0+6 .3+-; .+ .+61 .3+0; .3+6 .+6;
Lrban 0+0 .0+ +10 0+ .0+ .0+3; .0+06
Elasticity 0+6 .+ .+-- .3+4 .3+0 .3+11 .+-4
S)uared poverty $ap P
"otal .0+0 .1+1 .0+4- .0+- .1+00 .1+0 .0+;
5ural .0+ .1+- .1+11 .1+1 .1+4- .1+66 .1+6
Lrban 0+31 .0+10 0+-6 0+10 .0+10 .0+13 .0+0
Elasticity 1+60 .3+-; .4+4; .4+;3 .3+; .3+3 .3+6
otes Bousehold consumption is real per capita consumption+ Elasticities for P0 P1 and P are the ratios
bet2een the percent chan$e in the poverty indicator and the percent chan$e in a$$re$ate per capita
consumption+
Production e7pansion in a$riculture s2itches terms of trade a$ainst this sector+
"he final.year poverty rate is 1+ percenta$e points hi$her and the absolute value of the
poverty elasticity is D0+ as compared to D1+ for the BCAP scenario+ "hese results
reflect the role of the demand side in determinin$ the distribution of $ains from hi$her
productivity+
:inally economic performance is stron$ly influenced by the efficiency 2ith
2hich public spendin$ is mana$ed an aspect that is reflected in the rate at 2hich public
capital depreciates+ >n the literature assumptions about depreciation rates vary 2idely+6
>n the scenario *EP503 2e reduce the depreciation rate for public capital from 6 percent
to 3 percent+ Compared to the base scenario G*P $ro2th $oes up by around 0+3 percent
and final.year poverty is more than three percenta$e points lo2er+ >n orders of
ma$nitude these $ains are similar to those of the precedin$ scenarios 2here public
spendin$ 2as s2itched to different tar$et areas+
:inally 2e carried out the full set of simulations 2ith three alternative sets of
trade 8Armin$ton and CE"9 elasticities in additional to the central case 82hich 2as
6:or e7ample in the literature on developin$ countries the rates used by *essus and Berrera 81 p+ 149and Arndt et al+ 8001 pp+ 1.139 are 4 percent and -+6 percent respectively+
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reported above9 a hi$h and a lo2 case for 2hich every elasticity 2as doubled and halved
respectively+"o illustrate the impact of chan$in$ elasticity assumptions the last three
columns of "ables 13 and 14 sho2 the summary and 2elfare results for the scenario 2ith
a reallocation of public spendin$ in favor of a$riculture under the three alternative
elasticity assumptions+ "he central case results 8AG5>9 2ere reported in "ables and 10
2hereas the results for the hi$h and lo2 elasticity cases 8AG5>.B>9 and 8AG5>.=?9 have
not been reported before+ "he ma9 real private investment 82hich in this model is
sensitive to chan$es in the price inde7 for investment $oods relative to the CP>9 and
a$ricultural and non.a$ricultural terms of trade 8here the ratio bet2een a$ricultural and
non.a$ricultural producer prices9+ As e7pected the hi$h.elasticity economy sho2s a
sli$htly stron$er performance+ Bo2ever the ma
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?ur base simulation prot may also 2ell be that the
econometric estimates 2hich are based on noisy historical data for a period 2here many
countries 2ere under$oin$ chan$es in their economic and political systems and some
2ere involved in armed conflict do not provide parameter values that 2e can confidentlyuse in pro
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human capital accumulation it is important that the frame2or( used can consider not
only a$$re$ate returns and productivity effects but also distributional aspects manifested
in relative price chan$es 8includin$ the terms of trade bet2een a$riculture and non.
a$riculture9+ A dynamic CGE model provides a $ood frame2or( for incorporatin$ the
lin(a$es that economic theory and empirical analysis consider important+ Such models
enable analysts to simulate the effects of different estimated lin(a$e elasticities and
incorporate different analytic specifications that theory indicates mi$ht be important+
3-
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R"f"!"n*"s
Arndt C+ S+ 5obinson :+ "arp+ 001+ !Parameter Estimation for a Computable General
E)uilibrium odel A a7imum Entropy Approach# *iscussion Paper 40 "rade
and acroeconomics *ivision+ &ashin$ton *+C+ >:P5>+
A$hion P+A+ and P+ Bo2itt+ 1;+ Endo$enous Gro2th "heory+ Cambrid$e A >"Press+
'arro 5+ N+ Sala.i.artin+ 16+ Economic Gro2th+ e2 Qor( cGra2.Bill+
'autista 5+ + + "homas I+ uir.=eresche and B+ =of$ren+ 003+ acroeconomic
5eforms and A$riculture "o2ards E)uitable Gro2th in Fimbab2e+ 5esearch5eport 1;+ &ashin$ton *+C+ >:P5>+
'urmeister E+ and 5+ *obell+ 1-0+ athematical "heories of Economic Gro2th+
acillan 1-0+
*ervis I+ ,+ de elo and S+ 5obinson+ 1;+ General E)uilibrium odels for
*evelopment Policy+ e2 Qor( Cambrid$e Lniversity Press+
*essus S+ and 5+ Berrera+ 1+ =e role du capital public dans la croissance des pays endJveloppement au cours des annJes ;0# Centre de *Jveloppement de l@?C*E+
*ocuments "echni)ues o+ 116+
*iao N+ E+ Qeldan and "+ =+ 5oe+ 1;+ A Simple *ynamic Applied General
E)uilibrium odel of a Small ?pen Economy "ransitional *ynamics and "radePolicyJournal of Economic Development 3819 --.101
*umont ,+.C+ 1+ =a contribution des facteurs humains R la croissance Lne revue de
littJrature des Jvidences empiri)ues+ *>A=. LniversitJ Paris >N.*auphine+
Easterly &+ 000+ "he Effect of >nternational onetary :und and &orld 'an( Pro$ramson Poverty+ imeo+ &ashin$ton *+C+ &orld 'an(+
Easterly &+ and S+ 5ebelo+ 13+ :iscal policy and economic $ro2th An empirical
investi$ation+ &or(in$ Paper o+ 44+ Cambrid$e A ational 'ureau of
Economic 5esearch+
:an S+ and + 5ao+ 004+ Public Spendin$ in *evelopin$ Countries "rends*etermination and >mpact+ >n Coady *+ S+ :an A+ Gulati B+ =of$ren S+
5obinson and + 5ao+ Public E7penditures Gro2th and Poverty in *evelopin$
Countries >ssues ethods and :indin$s+ *raft 5eport of Synthesis +
&ashin$ton *+C+ >:P5>
Bulten C+ 5+ 1+ >nfrastructure capital and economic $ro2th Bo2 2ell you use it maybe more important than ho2 much you have+ &or(in$ Paper 6;4-+ Cambrid$e
A ational 'ureau of Economic 5esearch+
Iu%nets S+ 1+ odern Economic Gro2th 5ate Structure and Spread+ e2 BavenQale Lniversity Press+
=of$ren+ 004+ An Archetype Social Accountin$ atri7 for Sub.Saharan Africa 1;+
imeo+ &ashin$ton *+C+ >:P5>
3;
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=of$ren B+ 5+ =+ Barris and S+ 5obinson 2ith assistance from + El.Said and +
"homas+ 00+ A Standard Computable General E)uilibrium 8CGE9 odel inGAS+ icrocomputers in Policy 5esearch ol+ 6+ &ashin$ton *+C+ >:P5>+
=of$ren B and S+ 5obinson+ 004+ Gro2th Povertym and Public Policy A Selective
5evie2 ?f "he =iterature+ imeo+ &ashin$ton *+C+ >:P5>
=of$ren B+ S+ 5obinson and + El.Said+ 003+ !Poverty and >ne)uality Analysis in aGeneral E)uilibrium :rame2or( "he 5epresentative Bousehold Approach# pp+
36.33- in eds+ :ranois 'our$ui$non and =ui% A+ Pereira da Silva+ "he >mpact
of Economic Policies on Poverty and >ncome *istribution Evaluation "echni)ues
and "ools+ &orld 'an( and ?7ford Lniversity Press &ashin$ton *+C+ and e2Qor(+
?@Connell S+ A+ and '+ ,+ dulu+ 000+ Africa@s $ro2th e7perience A focus on sources
of $ro2th+ imeo+
5obinson S+ A+ CattaTeo and + El.Said+ 001+ !Lpdatin$ and Estimatin$ a SocialAccountin$ atri7 Lsin$ Cross Entropy ethods+#Economic Systems Research
ol+ 13 o+ 1 pp+ 4-.4+"arp :+ C+ Arndt B+ "arp ,ensen S+ 5obinson and 5+ Beltber$+ 00+ :acin$ the
*evelopment Challen$e in o%ambi)ue An Economy2ide Perspective+5esearch 5eport 1+ &ashin$ton *+C+ >:P5>+
"emple ,+ 1+ !"he e2 Gro2th Evidence#Journal of Economic Literature ol+ 3-
o+ 1 pp+ 11.16+
"homas + and 5+ + 'autista+ 1+ A 11 Social Accountin$ atri7 for Fimbab2e+
"rade and acroeconomics *ivision *iscussion Paper 3+ &ashin$ton *+C+>:P5>+
&obst Peter+ 001+ Structural Adntersectoral Shifts in "an%ania A
Computable General E)uilibrium Analysis+ 5esearch 5eport 11-+ &ashin$ton
*+C+ >:P5>+
&orld 'an(+ 001+ &orld *evelopment >ndicators+ &ashin$ton *+C+ &orld 'an(+
3
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A77"n)&8: S77("$"n'a!+ Ta%("s
40
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"able A+1+ "rade and production elasticities
alue
AddedE7port >mport
=ar$e.scale e7port crop 0+4 1+ 0+ Small.scale e7port crop 0+4 1+ 0+
=ar$e.scale other crop 0+4 1+3 0+-
Small.scale other crop 0+4 1+3 0+-
=ar$e.scale livestoc( 0+4 1+3
Small.scale livestoc( 0+4 1+3
inin$ 0+; 1+ 0+
:ood.fiber 0+; 1+3 0+
*omestic manufacturin$ 0+; 0+ 1+3
>mport.substitutin$ manufacturin$ 0+; 0+ 1+3
Construction 0+;
"rade and transportation 0+;
Public services 0+;
?ther services 0+; 0+; 1+3
Source =iterature estimates and authors@ assessment
"able A++ Bousehold e7penditure elasticities for consumption of mar(eted commodities
5ural Lrban
Lpper.income
=o2er.income
Lpper.income
=o2er.income
?ther crops 0+6 0+; 0+4 0+;
=ivestoc( 1+1 1+ 1+
:ood.fiber 0+6 0+; 0+4 0+;
*omestic manufacturin$ 1+3 1+ 1+ 1+
>mport.substitutin$ manufacturin$ 1+3 1+ 1+ 1+
"rade and transportation 1+3 1+ 1+ 1+
Public services 1+3 1+ 1+ 1+
?ther services 1+3 1+ 1+ 1+
Source =iterature estimates and authors@ assessment+
ote Elasticities for home.consumed $oods are the same as for their mar(eted
counterparts+
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"able A3+ :actor value shares 2ithin sector 8M9
:actors
Activities
Lns(illed
labor
S(illed
laborCapital
=ar$e.
scale
land
Small.
scale
land
"otal
=ar$e.scale e7port crop +3 3;+- 6+ 33+1 100+0 Small.scale e7port crop 63+; 1+; +4 100+0
=ar$e.scale non.e7port crop 3+- 4+4 1+ 60+3 100+0
Small.scale non.e7port crop 1+3 1+4 1-+3 100+0
=ar$e.scale livestoc( 4+ 3-+- 6-+- 100+0
Small.scale livestoc( + 30+; 100+0
inin$ 3+6 4+3 -+ 100+0
:ood.fiber +3 16+ -;+6 100+0
*omestic manufacturin$ 0+ +; 4+3 100+0
>mport.substitutin$ manufacturin$ 3+3 31+; 4+ 100+0
Construction 14+ 6;+3 +; 100+0
"rade and transportation 16+- 3+ 4-+4 100+0
Public services 6+ 6+; 34+3 100+0
?ther services 16+4 33+4 61+ 100+0
"otal 13+1 3+ 46+1 -+ 1+0 100+0
A$riculture 1-+- + -+3 4+; 3+ 100+0
on.a$riculture 10+ 36+- 63+4 100+0
Source SSA 1; SA+
4
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"able A4+ :actor value shares across sectors 8M9
:actors
Activities
Lns(illed
labor
S(illed
laborCapital
=ar$e.
scale
land
Small.
scale
land
"otal
=ar$e.scale e7port crop 3+0 1+ +- -0+6 1+ Small.scale e7port crop + 0+ 43+4 1+6
=ar$e.scale non.e7port crop 1+3 3+4 + +6 4+
Small.scale non.e7port crop 16+; 1+ 6+ 3+4
=ar$e.scale livestoc( 0+ + 3+ +6
Small.scale livestoc( 1+0 +1 3+0
inin$ 1+1 3+0 +4 4+0
:ood.fiber 4+ 4+0 16+0 ;+
*omestic manufacturin$ -+; 4+4 6+3 4+
>mport.substitutin$ manufacturin$ +3 ;+; 13+1 +1
Construction +; 4+3 1+4 +4
"rade and transportation 1+6 16+6 14+6 13+;
Public services 4+- 1;+; -+ 10+4
?ther services 1-+6 16+1 1+ 14+
"otal 100+0 100+0 100+0 100+0 100+0 100+0
A$riculture 43+3 + 1+4 100+0 100+0 3+0
on.a$riculture 6+- -3+; ;0+ ;+0
Source SSA 1; SA+
"able A6+ :actor income distribution across households in base year 8M9
:actors
Bouseholds
Lns(illed
labor
S(illed
laborCapital
=ar$e.
scale
land
Small.
scale
land
"otal
5ural
Lpper.income 33+1 4+ ;+- 3;+1
=o2er.income 46+0 4+6 100+0 +
Lrban Lpper.income + 4-+ 13+3 44+4
=o2er.income 66+0 1+4 ;+3
"otal 100+0 100+0 100+0 100+0 100+0
Source SSA 1; SA+