Urban Development and Growth

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    Urban Development and EconomicGrowth in Bangladesh

    Somik LallThe World Bank

    Workshop on Growth & Employment,December 12 2!!"

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    Outline• Bangladesh is predominantl# r$ral b$t rapidl#

    $rbani%ing• &cross co$ntries $rbani%ation is t#picall# seen to

    accompan# and lead economic growth 'economic andinstit$tional trans(ormation)

    • *er(ormance o( individ$al cities is conditioned on locale((orts as well as national + regional circ$mstances

    • ,apid pop$lation growth poses challenges (orproviding cons$mer and prod$cer services

    • What strategies are $se($l (or improving thecontrib$tion o( the $rbani%ation process to economicgrowth-

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    Across countries, urbanization

    accompanies economic transformation

    Urban population (% of total)

    So$rce. World Development /ndicators 2!!1

    !

    1!

    2!

    0!

    !

    "!

    !

    3!

    4!

    15 " 153! 153" 154! 154" 155! 155" 1555

    A g r i c u

    l t u r e

    %

    !

    "

    1!

    1"

    2!

    2"

    0!

    0"

    !

    "

    Labor (orce in agric$lt$re '6 o( total) &gric$lt$re val$e added '6 o( GD*)

    U r b a n

    %

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    And the Importance of agriculture diminishes ascountries get richer

    1!!

    1 !!!

    1! !!!

    1!! !!!

    1 1! 1!!

    Agriculture, value added as percent of GDP, 2000

    P e r c a p

    i t a G

    D P

    , 2 0 0 0

    Bangladesh

    So$rce. World Bank /ndicators '2!!! data)

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    !

    2!

    !

    !

    4!

    1!!

    12!

    1 !

    1 !

    14!

    2!!

    P o p u

    l a t i o n ,

    i l l i o n s

    Total,$ral

    Urban

    So$rce. United 7ations World Urbani%ation *rospects

    Share of urban population is rapidly increasing In angladesh

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    !

    1!

    2!

    0!

    !

    "!

    !

    3!

    4!

    5!1!!

    1 0 " 3 5 11 10 1" 13 15 21 20 2"

    !

    P e r c

    e n

    t " !!!

    1! !!!2! !!!

    8$m$lative r$ral pop$lation b#distance (rom di((erent si%e towns

    So$rce. G/S calc$lations $sing W&,*9+8EG/S data: based on 1551 cens$s (ig$res;*ercentages are likel# to be higher toda# as towns have increased in si%e and asr$ral areas near larger towns have grown (aster than more remote areas;

    And much of the rural population is in close pro!imity tourban centers

    "ini u to#n populationDistanceless than

    $,000 %0,000 20,000

    2 ! 5; 4; 3;4

    $ !24;1 2 ; 2!;

    %0 ! 42;! 32; "5;!%$ ! 5 ; 51; 41;

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    "rbanization has been characterized by #e!cessi$e%concentration in a few agglomerations

    At the other end of the size distribution: 300 other urban areasaccount for only 4 percent of the urban population

    Table 1: Population growth of the largest agglomerations

    City PopulationRank (2000

    Population(2000

    Population(!""0

    Population(!"#0

    Population(!"$0

    Annual%ro&th(!"$0'

    2000haka ! !2300 ))!" 324# !4$4 $*!+

    Chitta,on, 2 3-#! 22)- !333 )"3 -*-+.hulna 3 !42) "$2 )22 3!0 -*!+Ra/shahi 4 !0!) -!$ 23# !0- $*)+

    y1ensin,h - 32# !#" !0# *A* '

    Co1illa ) 30$ !3- !2) #) 4*2+ ote !: Population in thousands ote 2: ata are for a,,lo1erations

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    "rban concentration is consistent withcountries at similar income le$els

    • Dhaka acco$nts (or 026 o( $rban pop$lation• 8oncentration is important (or e((icienc# in earl# stages o(

    development• There is an optimal range o( concentration which varies with

    economic development < increases peaks declines

    Urban concentration in comparator counties (%)

    South Asia Region Per capita Incomes an! area "istoric IncomesCountry Pri1acy Country Pri1acy Country Pri1acy Country Pri1acy

    ndia -*$2 Ca1eroon 22*4# 5ul,aria 20*#4 Colo1bia($-

    20*!)

    Pakistan 2!*"4 on,olia -)*2$ %uate1ala 20*0" 6onduras(#-

    3-*4#

    7ene,al 43*-3 .orea 23*2# Ar1enia("-

    -0*#-

    .yr,yz

    Republic

    4-*-0 6onduras 2$*2- 8urkey ($- 2!*)3

    #ata Source: $#I Tables SI&A

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    8ore=peripher#pattern withDhaka as theprimar# center

    and the portcities '>h$lnaand 8hittagong)as secondar#centers

    'conomic acti itis also concentrate!aroun! ma*or

    agglomerations

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    actors promoting urban concentration

    • 7ational political instit$tions ' – &llocation o( local p$blic e?pendit$res in centrali%ed

    settings. national government ma# (avor one or two citieswhere decision=makers live;

    – @avoritism involving the national government not choosing toinvest s$((icientl# in interregional transport andtelecomm$nications so hinterland cities are less competitivelocations: and

    • 8entral government is directl# responsible (or $rbanand regional development

    • @ail$res o( national land development markets – With limited local (iscal a$tonom# land developers and local

    governments cannot develop alternate locations and spread

    development across the $rban hierarch#;

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    Implications of urban concentration(positi$es)

    • Bene(its (rom economies o( scale andagglomeration

    • Economic trans(ormation with large cities

    leading man$(act$ring + ind$strialrepresentation – Dhaka and 8hittagong have over seven times the national

    representation o( emplo#ment in garments and machiner#; – 8o=location o( b$siness and (inancial services boost (irm

    level per(ormance• Thick labor markets• Aigher $alit# o( li(e (or residents as these cities can

    do better in proving local p$blic goods and services

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    Implications of e!cessi$e urbanconcentration (costs)

    • Aigh prices (or immobile (actors 'land andho$sing)

    • Aigh comm$ting costs 'leading to a

    segmented labor market) along withcongestion and poll$tion diseconomies• Canagement (ail$res lead to bottlenecks in

    in(rastr$ct$re and service provision thereb#increasing prod$ction costs

    • This translates into lower wel(are and overalleconomic per(ormance

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    M i c r o g r a m / m 3

    *C2;" &verage

    0

    50

    100

    150

    200

    250

    300

    350

    1 2 / 2

    5 / 2 0

    0 2

    1 2 / 2

    7 / 2 0

    0 2

    1 2 / 2

    9 / 2 0

    0 2

    1 2 / 3

    1 / 2 0

    0 2

    1 / 2 /

    2 0 0 3

    1 / 4 /

    2 0 0 3

    1 / 6 /

    2 0 0 3

    Dhaka was ranked as one o( the most poll$ted cities inthe World b$t *C2;" concentrations have declined b#

    16 beca$se o( Two Stroke *haseo$t

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    Low satis(action with p$blic services

    Table 1: Satisfaction with Ser ices (% of sur e e! househol!s)

    Services Dhaka Chittagong Khulna Rajshahi

    Police 2 0 1 2

    Land Registration 2 1 10 4

    Transport 7 3 19 6

    Electricity Services 8 2 12 2

    !diciary 8 1 2 "

    #ealt$ %are 11 4 18 9

    &ar'age (isposal 1" 10 12 10

    Se)erage*

    Sanitation

    17 16 11 16

    Ed!cation 21 " 28 12

    (rin+ing ,ater 27 9 11 8

    7ource: Proshikha (2002

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    Does the distorted $rban s#stem translateinto lost opport$nities (or economic growth-

    • The central link between concentration and economicper(ormance revolves aro$nd economies o( scale;

    • /( cities are too small reso$rces co$ld be spread toothinl#+evenl# across cities and scale economies arenot e((icientl# e?ploited;

    • Aowever i( reso$rces are over=concentrated in oneor two e?cessivel# large cities this raises costs o(prod$ction o( goods and lowers the $alit# o( $rbanservice provision;

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    Table 1: The 'ffect on Annual 'conomic +rowth Rates of Urban ,oncentration

    The optimal!egree of urban

    primac

    oss in growth ratefrom e-cessi eprimac (one

    stan!ar! !e iation)

    +rowth effect of a onestan!ar! !e iation increasein roa! !ensit in a countr

    with e-cessi e primac9o& inco1e (:!!00 *!- *$! *23

    ediu1 inco1e(:4"00

    *2- !*) *)#

    6i,h inco1e(:!3400

    *23 !*) *)#

    8he table looks at a 1ediu1 size country ''national urban population of 22 1illion* u1bers for countries &ithurban populations of up to -0')0 1illion are si1ilar* 8he first colu1n calculates the de,ree of urban pri1acy that1a;i1izes ,ro&th rates and steady state inco1e leuite ti,ht (standard error of *0!# * 8he ,ro&th losses of e;cessi

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    Growth implications (or Bangladesh• /n 2!!! Urban pop$lation o( 0" million: income per capita '1543

    **) o( aro$nd 21!!;• &t this income level and $rban scale Bangladesh sho$ld have

    an optimalF primac# val$e o( aro$nd 21 percent;• /n practice primac# is 02 percent == 11 percent points higher

    than optimal val$es;• Based on AendersonFs estimates primac# in Bangladesh is

    more than 2 standard deviations higher that the optimal range;• &t this income range and $rban scale one standard deviation

    increase (rom optimal val$es red$ces growth b# 1 percent; &lower bo$nd estimate o( moving (rom two standard deviationsabove optimal val$e to the optimal val$e wo$ld increase GD*per capita growth rates b# at least 2 percent points;

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    Aow do we improve the contrib$tion o( the$rbani%ation process to economic growth-

    • & proving anage ent of the largestagglo erations

    • Dhaka 'and other ma or cities) will contin$e to attractrapid pop$lation growth $nless other $rban centersbecome viable investment decisions;

    • *er(ormance o( ma or agglomerations need to beenhanced

    – /nstit$tional re(orm –

    *rovision o( serviced land – Enhancement o( own so$rce reven$es• /nvestments in inter regional in(rastr$ct$re to de=

    concentrate standardi%ed man$(act$ring

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    Aow do we improve the contrib$tion o( the$rbani%ation process to economic growth-

    • Developing alternate locations• Enhance the abilit# o( *o$rashavas to provide local

    services that are val$ed b# local resident 'b$t how-)

    • BCD@ ma# be a $se($l vehicle (or local in(rastr$ct$reimprovements

    • There ma# however be adverse wel(areconse $ences i( reso$rces are spread too thinl# orlarge cities are starved in order to stim$late smallercenters