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SustainableAsset
Valuatior
SAM
ASustainable
AssetValuatioh
ofaNet-Zero
Transport
Strategyin
[ndonesia
TECHNICALREPORT
IISD
InternationalInstitutefor
SustainableDevelopment
◎2024InternationalInstituteforSustainableDevelopment|IISD.org
MichailKapetanakis
NathaliaNino
LiesbethCasier
AndreaM.Bassi
January2024
ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
?2024TheInternationalInstituteforSustainableDevelopment
PublishedbytheInternationalInstituteforSustainableDevelopment.
ThispublicationislicensedunderaCreativeCommonsAttribution-
NonCommercial-ShareAlike4.0InternationalLicense.
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ASustainableAssetValuationofaNet-ZeroTransportStrategy
inIndonesia
January2024
IISD.orgii
ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
Acknowledgements
ThisreportispartofaseriesofSustainableAssetValuation(SAVi)assessmentsonsustainabletransportandmobilityprojectstoraiseawarenessandinformdecision-makersontheuseof
systemicapproachesandsimulationtosupportthetransformationtowardsustainablemobility.
Moreabouttheproject:
/savi/using-systemic-approaches-and-simulation
-to-support-transformation-toward-sustainable-mobilityl
ISDwouldliketothankAchmadZackyAmbadar,AgitaPutri,GemmaBurhanudin,
NameeraMoerdaning,MaulanaIchsanGituri,MarvinStolz(GIZ),andGiacomoPontara(BMZ)fortheircommentsandreview.
WearegratefulforthefinancialsupportoftheGermanFederalMinistryforEconomicCooperationandDevelopment(BMZ)
&ooperation
DEUTSCHEZUSAMMENARBEIT
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
ExecutiveSummary
PurposeofThisAssessmentandtheSustainableAssetValuationMethodology
TheSustainableAssetValuation(SAVi)assessmentofIndonesia'snet-zerotransportstrategyisoneofaseriesthatfocusesonquantifyingtheeconomic,social,andenvironmental
outcomesofsustainabletransportprojectsandstrategies.
Theseriesaimstoenhanceawarenessofsustainabletransportinfrastructureinvestments
andadvisedecision-makersontheimportanceofusingasystemicapproachwhenassessing
mobilityinvestments.Allstudiesintegratetheeconomicvaluationofsocialandenvironmentalimpacts,suchashealthandCO2emissions,tounderscoretheirsignificanceinthetransportinvestmentdecision-makingprocess.
SAViisamethodologythatofferspolicy-makersandinvestorsanall-encompassingandcustomizedanalysisoftheirinfrastructureprojectsandportfolios,consideringcosts,
benefits,risks,andexternalitiesthatareoftendisregardedintraditionalvaluations.
ThefollowingarethekeycomponentsofaSAViassessment:
?acombinationofsystemsthinkinganddifferentmodellingmethodologies,
suchasspatialmodelling,systemdynamicsmodelling,andfinancialmodelling.
?acustomizedapproachtoeachindividualinfrastructureproject,portfolio,orpolicy,tailoredtotheirspecificneedsandrequirements.
?aco-creationprocessthatinvolvesdecision-makersandstakeholders,adoptingamultistakeholderapproachthatallowsfortheidentificationofmaterialrisksandopportunitiesuniquetoeachprojectoralternative.Thisfostersdecision-makers'andstakeholders'abilitytotakeasystemicapproachtoinvestments,thereby
increasingthelikelihoodoftheresults'uptake,use,andimpact.
?ananalysisbasedonproject-leveldata(whereavailable),theSAVidatabase(derived
fromaliteraturereviewanddatafrompreviousSAViapplications),andbest-in-classclimatedatafromtheEUCopernicusClimateDateStore(builtintoallSAVimodels).
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
Net-ZeroTransportStrategyinIndonesia
Indonesiaisanemergingeconomythathasreliedheavilyontransportationtopromoteits
economicdevelopment.Asaconsequence,transport(particularlyroadtransport)isthemost
energy-intensivesectorinthecountry—andoneofthemostpolluting(G20Insights,2022).
TransformingthetransportsectorinIndonesiaisthereforecrucialforreducingGHGemissionsandimprovingenergyefficiency(EryWijayaetal.,2021).TodecarbonizethetransportsectorinIndonesia,itisnecessarytoadoptanapproachthatinvolvestheelectrificationoftransport,coupledwithasignificantshareforrenewableenergyinelectricitygenerationandashiftfromindividual,motorizedtransportmodestopublicandnon-motorizedmodes(BAPPENAS,
2021).Forthepurposesofthisassessment,airandmarinetransportinfrastructurewerenotconsidered.Thisassessmentconsistsofthefollowingelements:
?fourbroadtransportinterventions:vehicleelectrification,investmentinpublictransportnetworks,teleworking,anddecarbonizationoftheelectricitysupply.
?threemainnet-zerotransportscenarios:onescenarioconsistingofinvestmentinpublictransportsystems,onescenarioconsistingofprivatevehicleelectrification,andonemixedscenariocombiningboth.Thesescenariosalsoincludeassumptionsrelatedtoteleworkinganddecarbonizationoftheelectricitysupplyfortransport.
?twoadditionalsecondaryscenariosrepresentingasensitivityanalysisofprivatevehicleelectrificationanddecarbonizationoftheelectricitysupplyfortransport.
?anintegratedcost-benefitanalysis(CBA)thatincludesthevaluationofdifferentindicatorsincludingthreemaininvestmentsandcosts,fouraddedbenefits,
andsixavoidedcostsovera30-yeartimehorizon.
Findings
TableES1showstheresultsoftheintegratedCBAofthenet-zerostrategyinIndonesiaforthethreemainscenariosthatwereassessedwiththeSAVimodel.
Scenario3,whichcombinesalltransportinterventions,resultsinthehighestpositive
outcomesacrossallindicatorsandanetbenefitofIDR6,926.03trillion(USD450.1billion)until2050.Thesecond-mostpositivenet-zerotransportscenarioisScenario2,whichshowsacumulativenetbenefitofIDR5,905.54trillionUSD383.8billion.Scenario2assumesa
100%rateofprivatevehicleelectrificationpoweredby100%renewableenergy.Scenario1assumesinvestmentinelectricpublictransportsystemsandteleworkingonly,andresultsinacumulativenetbenefitofIDR1,949.02trillion(USD126.7billion).
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
TableES1.Integratedcost-benefitanalysis(discountedcumulativevaluesforthethreemainnet-zerotransportscenarios),inIDRtrillion
IntegratedCBA(discountedat11.33%and3.5%)
Scenario1.
Investment
inpublic
transport
system
Scenario2.
100%Privatevehicle
electrification—
100%
renewableenergy
Scenario3.
Mixednet-zero
transportscenario—
100%
renewableenergy
2022–2050
2022–2050
2022–2050
Investmentandoperationcosts
8,176.31
6,086.40
13,431.53
Investmentinpower
generation
40.59
1,400.98
1,392.17
Investmentinrenewablecapacity
13.48
1,299.51
1,290.18
Operationsand
maintenance(O&M)costsofrenewablecapacity
3.95
316.17
314.57
Investmentin
non-renewablecapacity
15.54
-139.24
-137.27
O&Mcostsof
non-renewablecapacity
7.62
-75.46
-75.31
Investmentinnon-
motorizedtransport(NMT)infrastructure:Avoid
3,104.56
0.00
3,104.56
Investmentinbusrapidtransit(BRT)andmassrapidtransit(MRT)
infrastructure:Shift
5,031.17
0.00
5,031.17
InvestmentinBRT
infrastructure
3,510.47
0.00
3,510.47
InvestmentinMRT
infrastructure
1,520.70
0.00
1,520.70
Investmentinelectric
vehicles:Improve
0.00
4,685.43
3,903.63
Investmentinelectriccars
0.00
4,309.84
3,591.33
O&Mcostsofelectriccars
0.00
148.19
122.47
Investmentinelectricbuses
0.00
61.94
51.67
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
IntegratedCBA(discountedat11.33%and3.5%)
Scenario1.
Investment
inpublic
transport
system
Scenario2.
100%Privatevehicle
electrification—
100%
renewableenergy
Scenario3.
Mixednet-zero
transportscenario—
100%
renewableenergy
2022–2050
2022–2050
2022–2050
O&Mcostsofelectricbuses
0.00
12.75
10.55
Investmentinelectric
chargers
0.00
152.70
127.62
Addedbenefits
470.48
1,407.75
1,792.33
RealGDP
228.24
1,407.75
1,550.09
-Publicrevenue
34.24
211.16
232.51
-Disposableincome
193.99
1,196.52
1,317.50
RevenuesfromBRT
operation
222.82
0.00
222.82
RevenuesfromMRT
operation
8.02
0.00
8.02
Benefitsfromphysical
activity
11.40
0.00
11.40
Avoidedcosts
9,654.85
10,584.19
18,565.23
Internalcombustionengine(ICE)vehicles
0.00
4,226.68
3,527.21
InvestmentinICEcars
0.00
4,000.77
3,339.99
O&McostsofICEcars
0.00
164.43
135.96
InvestmentinICEbuses
0.00
51.92
43.36
O&McostsofICEbuses
0.00
9.56
7.91
Energycost
229.12
859.09
970.30
Airpollution
788.33
2,140.80
2,395.51
Airpollutionfromenergyconsumption
824.10
1,746.56
1,999.38
Airpollutionfrompowergeneration
-35.77
394.25
396.13
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
IntegratedCBA(discountedat11.33%and3.5%)
Scenario1.
Investment
inpublic
transport
system
Scenario2.
100%Privatevehicle
electrification—
100%
renewableenergy
Scenario3.
Mixednet-zero
transportscenario—
100%
renewableenergy
2022–2050
2022–2050
2022–2050
CO2emissions
545.19
3,263.15
3,500.80
Noisepollution
645.05
94.47
724.25
Accidents
7,447.16
0.00
7,447.16
Cumulativenetbenefits(undiscounted)
2,609.32
23,622.33
23,225.01
Cumulativenetbenefits(discounted)
1,949.02
5,905.54
6,926.03
Benefit-costratio
1.24
1.97
1.52
Source:Authors’calculations.
Despitetheconsiderableinvestmentsaimedatreachingnet-zerointhetransportsectorin
Indonesiaby2050,thereisapositivereturnforthecountryinallscenarios.ForScenarios2and3,morethan35%ofthesocietalbenefitsareconnectedtoavoidedaccidents,reducedairandnoisepollution,andlowerCO2emissions.ThisillustratestheimportanceofincludingandvaluingthisbenefitinCBAsoftransport-relatedinterventions.
Thebenefit-costratio(BCR)ofthenet-zerotransportscenariosisalsocalculated.TheBCRdeterminestheoverallvalueformoneyofaproject.Itillustratesthereturnforeveryunit
(inIDR)investedbycomparingtheproject’stotalbenefits(includingavoidedcosts)with
thetotalcosts.Scenario2providesthemostattractiveBCR,with1.97IDRforevery1IDRinvested.Thisisbecausetheinvestmentcostsrelatedtopublictransportinterventions,whichareincludedintheothertwoscenarios,aremuchhigher.Somebenefitsofpublictransport,suchastimesavingsandwideraccesstomobilityoptions,couldnotbequantifiedforthe
purposesofthisassessmentbutdoprovideadditionalsocietalbenefits.ThebenefitsofScenarios1and3are,therefore,likelyanunderestimation.
WhilefromaBCRperspective,Scenario2looksmostattractive,thenetbenefitsofScenario3remainthelargestforsociety.PrivatevehicleelectrificationalonewillnotaddressissuesofcongestioninurbanareasinIndonesia.Congestionandthevalueoftimelosthaveanegativeimpactontheeconomy.
TableES2showstheinvestmentcosts,addedbenefits,avoidedcosts,andBCRsofa
sensitivityanalysisofScenario2.InScenario2a,weconsideralowershareofprivatevehicleelectrification(20%),whileinscenario2b,weconsidera100%shareofprivatevehicle
electrificationwithnoinvestmentsinthecurrentenergymix.
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TableES2.IntegratedCBAresultsandBCRsofthesensitivityanalysisofScenario2(secondaryscenarios)
IntegratedCBA(discounted;overa30-yeartimehorizon)
Scenario2.100%privatevehicle
electrification—100%renewableenergy
Scenario2a.
20%privatevehicleelectrification—100%renewableenergy
Scenario2b.
100%privatevehicle electrification—currentenergymix
Investmentand
costs(trillionIDR)
6,086.40
1,838.43
4,562.05
Addedbenefits
(trillionIDR)
1,407.75
1,031.72
183.37
Avoidedcosts
(trillionIDR)
10,584.19
4,572.07
6,597.62
Netbenefits
5,905.54
3,765.36
2,218.94
BCR
1.97
3.05
1.49
Source:Authors’calculations.
TheBCRforScenario2aamountsto3.05,whichishigherthantheBCRofScenarios2(1.97)or2b(1.49).TheresultsofScenarios2aand2barepredominantlyaffectedbytheavoidedcostsgeneratedbytheshifttowardrenewableenergy,notbytheextentofuptakeofprivatevehicleelectrification.Thisunderlinestheimportanceofintegratingnet-zero
transportstrategiesintoeffortsandpoliciesaimedatdecarbonizingtheenergysectorandviceversa.Net-zeroambitionsintransportcannotbeachievedwithoutthe
decarbonizationoftheenergysector.
Overall,theanalysisstronglysuggeststhatanet-zerotransportstrategycombiningan“avoid,shift,andimprove”approachwillbemoresuccessfulinachievingnet-zeroby2050whiledeliveringthelargestbenefitstosociety.
TheSAViassessmentresultscanbeconsideredbenchmarkvaluesforpolicy-makersandpublicinfrastructureplanners.Integratedassessments,suchasthisoneconductedusingtheSAVimethodology,canhelpmakeastrongercasefornet-zerotransportstrategies
atthenationallevel.TableES3indicateshowdifferentstakeholdersanddecision-makerscanusetheresultsofthisassessmenttomakemoreinformeddecisions.
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
TableES3.Howdifferentstakeholdersanddecision-makerscanusetheresultsoftheSAViassessmentofthenet-zerotransportstrategyinIndonesia
Stakeholder
Roleintheproject
Howthestakeholdercanusetheresultsoftheassessment
Government
Design,
implementation,
andfinanceofthe
net-zerotransport
strategyinIndonesia
Regionalandnationalgovernmentscanuse
theassessmentresultstoraiseawareness
andjustifyinvestmentsandsupportfor
sustainabletransportprojectsandstrategies,aswellasmaketheseassessmentsastandardrequirementforinvestmentdecisions.
Private
sector/
industry
Projectdevelopers
Businessesandprivatesectorentitiescanusetheassessmentresultsforadditionaladvocacyforsustainabletransportprojectsandnet-zerotransportstrategies,aswellasforidentifyingnewopportunitiesforinvestment.
Donorsand
funders
Fundingfor
sustainabletransportprojectsandnet-zerotransportstrategies
Donorscanincludetheassessmentresultsintheirreportingprocessestoshowtheimpactsoftheirinvestments.Theassessmentresults
canalsobeusedforawarenessraisingofthebenefitsofnet-zerotransportstrategies,withtheultimateaimofmakingtheseassessmentsaformalrequirement.
Civilsocietyorganizations
Consultationwith
governmenton
sustainabletransportprojectsandnet-zerotransportstrategies
Civilsocietyorganizationscanusethe
assessmentresultstoconductmoretargetedadvocacyforsustainabletransportprojects
andtoraiseawarenessoftheirvalue
tosociety.
Source:Authors.
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
Abbreviations
BMZ
GermanFederalMinistryforEconomicCooperationandDevelopment
BCR
benefit-costratio
BRT
busrapidtransit
CBA
cost-benefitanalysis
CLD
causalloopdiagram
CO2
carbondioxide
GHG
greenhousegasemissions
ICE
internalcombustionengine
IDR
Indonesianrupiah
MRT
massrapidtransit
NDC
nationallydeterminedcontributions
NMT
non-motorizedtransport
NOx
nitrogenoxides
O&M
operationandmaintenance
PM
2.5
particulatematterwithadiameteroflessthan2.5micrometres
RPJMN
NationalMedium-TermDevelopmentPlan
SAVi
Sustainableassetvaluationtool
VSL
valueofastatisticallife
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
Glossary
Benefit-costratio:Aratiothatdeterminestheoverallvalueformoneyofaproject.Itillustratesthereturnforeveryunit(USDorIDR)investedbycomparingaproject’stotalbenefitswiththetotalcosts.
Causalloopdiagram:Aschematicrepresentationofkeyindicatorsandvariablesofthesystemunderevaluationthatshowsthecausalconnectionsbetweenthemandcontributestotheidentificationoffeedbackloopsandpolicyentrypoints.
Discounting:Afinanceprocesstodeterminethepresentvalueofafuturecashvalue.
Indicators:Parametersofinteresttooneorseveralstakeholdersthatprovideinformationaboutthedevelopmentofkeyvariablesinthesystemovertimeandtrendsthatunfoldunderspecificconditions(UnitedNationsEnvironmentProgram[UNEP],2014b).
Methodology:Thetheoreticalapproach(es)usedforthedevelopmentofdifferenttypesofanalysistoolsandsimulationmodels.Thisbodyofknowledgedescribesboththeunderlyingassumptionsusedaswellasqualitativeandquantitativeinstrumentsfordatacollectionandparameterestimation(UNEP,2014).
Modelvalidation:Theprocessofassessingthedegreetowhichmodelbehaviour(i.e.,numericalresults)isconsistentwithbehaviourobservedinreality(i.e.,nationalstatistics,establisheddatabases)andtheevaluationofwhetherthedevelopedmodelstructure(i.e.,equations)isacceptableforcapturingthemechanismsunderlyingthesystemunderstudy(UNEP,2014b).
Netbenefits:Thecumulativeamountofmonetarybenefitsaccruedacrossallsectorsandactorsoverthelifetimeofinvestmentscomparedtothebaseline,reportedbytheinterventionscenario.
Scenarios:Expectationsaboutpossiblefutureeventsusedtoanalyzepotentialresponsestothesenewandupcomingdevelopments.Consequently,scenarioanalysisisaspeculativeexerciseinwhichseveralfuturedevelopmentalternativesareidentified,explained,and
analyzedfordiscussiononwhatmaycausethemandtheconsequencesthesefuturepathsmayhaveonoursystem(e.g.,acountryorabusiness).
Simulationmodel:Modelscanberegardedassystemicmapsinthattheyaresimplifications
ofrealitythathelptoreducecomplexityanddescribe,attheircore,howthesystemworks.Simulationmodelsarequantitativebynatureandcanbebuiltusingoneorseveralmethodologies(UNEP,2014b).
Systemdynamics:AmethodologydevelopedbyForresterinthelate1950s(Forrester,
1961)tocreatedescriptivemodelsthatrepresentthecausalinterconnectionsbetweenkey
indicatorsandindicatetheircontributiontothedynamicsexhibitedbythesystemaswellastotheissuesbeinginvestigated.Thecorepillarsofthesystemdynamicsmethodarefeedbackloops,delaysandnonlinearityemergingfromtheexplicitcapturingofstocksandflows
(UNEP,2014b).
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
TableofContents
1.0Introduction 1
1.1AchievingNet-ZeroinIndonesia 1
1.2AchievingNet-ZerointheTransportSectorinIndonesia 2
1.3PurposeofaSustainableAssetValuationoftheNet-ZeroTransport
StrategyinIndonesia 5
2.0Methodology 6
2.1SystemMapping 6
2.2SummaryofIndicatorsValuedbytheSAViAssessment 9
2.3DiscountRates 11
2.4Limitations 11
3.0ScenariosandAssumptions 12
3.1ValuationMethodologiesfortheInvestmentandCosts,AddedBenefits
andAvoidedCosts 16
4.0Results 26
4.1IntegratedCost-BenefitAnalysis 26
4.2Benefit-to-CostRatiosFromDifferentPerspectives 35
4.3DetailedDiscussionofAddedCostsandAvoidedBenefits 36
5.0DiscussionandConclusion 44
6.0References 45
AppendixA.SAViAssessmentandtheIV2045Model 48
AppendixB.UndiscountedIntegratedCost-BenefitAnalysis 49
AppendixC.MainAssumptionsandDataSourcesUsed
fortheSystemDynamicsModel 52
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
ListofFigures
Figure1.Causalloopdiagramforthenet-zerotransportstrategyinIndonesia 8
Figure2.Numberofelectriccarspernet-zeroscenario 19
Figure3.Numberofelectricbusespernet-zeroscenario 19
Figure4.Netbenefitsofthethreescenarios(discountedat11.3%and3.5%) 26
Figure5.AddedbenefitsandavoidedcostsofScenario3 37
Figure6.Investmentcosts,revenues,addedbenefits,andavoidedcosts
acrossthethreemainscenarios 38
Figure7.Totalgreenjobscreated 39
Figure8.Transport-relatedCO2emissions 42
ListofTables
TableES1.Integratedcost-benefitanalysis(discountedcumulativevalues
forthethreemainnet-zerotransportscenarios),inIDRtrillion vi
TableES2.IntegratedCBAresultsandBCRsofthesensitivityanalysis
ofScenario2(secondaryscenarios) ix
TableES3.Howdifferentstakeholdersanddecision-makersusetheresults
oftheSAViassessmentofthenet-zerotransportstrategyinIndonesia x
Table1.Causalrelationsandcausality 7
Table2.Investments,costs,addedbenefitsandavoidedcosts 9
Table3.Benefit-costratiosconsideredintheSAViassessmentofthe
net-zerotransportstrategyinIndonesia 10
Table4.Descriptionofthescenariossimulatedinthenet-zerotransport
strategySAViassessment 12
Table5.Summaryofthescenariossimulatedinthenet-zerotransport
strategySAViassessment 13
Table6.Net-zerotransportscenario1:Investmentinpublictransportsystems 14
Table7.Net-zerotransportScenario2:Privatevehicleelectrification,
includingsensitivityanalyses2aand2b 15
Table8.Net-zerotransportScenario3:Mixed 15
Table9.Powergenerationtechnologiesandtheircostpermegawattby2030 17
Table10.Lengthofpublictransportnetworks 18
Table11.Healthcostofairpollution 23
Table12.CO2emissionfactorperenergysource 23
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
Table13.Noisecostperv-kmbytransportmode 24
Table14.Costofaccidentpertransportmode 25
Table15.IntegratedCBA(discountedvaluesat11.33%and3.5%
forthenet-zerotransportscenarios),IDRtrillion 27
Table16.IntegratedCBA(discountedvaluesat3.5%forthe
net-zerotransportscenarios),IDRtrillion 30
Table17.IntegratedCBA(discountedvaluesforthenet-zerotransport
Scenario2,includingsensitivityanalysisofScenarios2aand2b),IDRtrillion 32
Table18.BCRsfromdifferentperspectivesandacrossallnet-zero
transportscenarios(discountedat11.33%and3.5%) 36
Table19.CumulativevaluesofrealGDPbenefitsacrossmainnet-zero
transportscenarios(discountedat11.33%),IDRtrillion 39
Table20.CumulativevaluesofBRTandMRTrevenuesacrossmain
net-zerotransportscenarios(discountedat11.33%),IDRtrillion 40
Table21.Cumulativevaluesofhealthbenefitsfromincreasedphysicalactivity
acrossmainnet-zerotransportscenarios(discountedat3.5%),IDRtrillion 40
Table22.Cumulativevaluesofavoidedcostsofconventionalvehiclesacross
mainnet-zerotransportscenarios(discountedat11.33%),IDRtrillion 41
Table23.Cumulativevaluesofavoidedenergycostsacrossmainnet-zero
transportscenarios(discountedat11.33%),IDRtrillion 41
Table24.Cumulativevaluesofavoidedcostsofairpollutionrealacross
mainnet-zerotransportscenarios(discountedat3.5%),IDRtrillion 42
Table25.CumulativevaluesofavoidedcostsofCO2emissionsacross
mainnet-zerotransportscenarios(discountedat3.5%),IDRtrillion 42
Table26.Cumulativevaluesofavoidednoisepollutioncostsacrossmain
net-zerotransportscenarios(discountedat3.5%),IDRtrillion 43
Table27.Cumulativevaluesofavoidedcostsofaccidentsacrossmain
net-zerotransportscenarios(discountedat3.5%),IDRtrillion 43
TableB1.Integratedcost-benefitanalysis(CBA)(undiscountedvalues
forthenet-zerotransportscenarios),IDRtrillion 49
TableC1.OverviewofkeyassumptionsusedintheSAViassessment
ofthenet-zerotransportstrategyinIndonesia 52
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ASustainableAssetValuationofaNet-ZeroTransportStrategyinIndonesia
1.0Introduction
1.1AchievingNet-ZeroinIndonesia
Indonesiaistheworld’sfourthlargestcountry,withapopulationof273million.Thecountryisexposedtosignificantclimatechangerisks,experiencinghighairpollutionlevelsand
havingmuchofitspopulationlivinginlow-lyingareasthatarepronetoflooding.Inaddition,Indonesia’spopulationandurbanizationratesareexpectedtoincreasesignificantlyinthe
comingdecades,theformerbyabout20%until2050(WorldBank,2019).Atthesametime,thecountryhasanareaof1,905millionkm2,includingapproximately18,000islands,and
thushasaverystrongpotentialforrenewableenergy,including40%oftheworld’spotentialforgeothermalenergy(KPMG,2021).
AlthoughtheIndonesiangovernmenthassetatargetofnet-zeroby2060,itisexpectedthatemissionswillincreaseformanysectorsoverthenextfewyears(KPMG,2021).AnincreaseinGHGemissionswillhavedamagingeffectsonIndonesia’seconomy.Onerecentanalysisshowsthatiftheworldis2.0–2.6°Cwarmerby2050,evenifcurrentpledgesunderthe
ParisAgreementaremet,Indonesia’sGDPcoulddiminishby16.7%–30.2%duetoclimatechangeimpacts(ReSwissInstitute,2021).Actionstoachievenet-zeroinIndonesiacanenddependencyonvolatilefossilfuelmarkets,whileatthesametimeprotectingtheextremelyvaluablenaturalcapitalofthecountry.
Importantly,in2020Indonesiaofficiallyadoptedt
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