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EnergyEconomics74(2018)802–812 ContentslistsavailableatScienceDirect Energy Economics journal homepage: www.elsevier.com/locate/eneco Cap prices or cap revenues? The dilemma of electric utility networks AlrickCampbell CrawfordSchoolofPublicPolicy,TheAustralianNationalUniversity,132LennoxCrossing,Acton,ACT2601,Australia DepartmentofEconomics,TheUniversityoftheWestIndies,MonaCampus,Kingston7,Jamaica A R T I C L E I N F O A B S T R A C T Articlehistory: InthispaperIanalysethebehaviourofamonopolyelectricityproviderthatservesthreedistinctmarkets Received3February2017 underapricecaporrevenuecapplan.Imakecomparisonsintermsoftheireffectsonpricesetting,energy Receivedinrevisedform18July2018 conservation,andsocialwelfare. Accepted27July2018 InadditiontocontraveningtheRamseypricingrule,Ifindthatunderconditionsofinformationasymmetry, Availableonline2August2018 whendemandbecomesmoreelasticormarginalcostincreases,revenuecappriceincreasesarelargerrel- ativetopricecapregulation.Inthisspecificsetting,revenuecappriceincreasescanencourageenergy JELclassification: conservationbutislesslikelytodosowhenmarginalcostislargeinamarketthatismoreelasticrel- D42 ativetoothers.Incontrasttoapricecapplan,theseoverallresultsshowthatrevenuecapschemesare I30 welfare-reducing. L51 Forpublicpolicydecision-makingpurposes,pricecapregulationismoredesirableespeciallyindeveloping L94 economiesthatoftenexperiencesubstantialinflationarypressuresfromglobaloilmarketdevelopments Keywords: butislesssuitablethanrevenuecapregulationwhenelectricitysupplyconstraintsandclimatechangeare Electricity majorpolicyconcerns. Pricecap ©2018ElsevierB.V.Allrightsreserved. Ramsey Revenuecap Welfare 1. Introduction is widely discussed in the literature (see, for example, Wirl, 1995; Sappington and Weisman, 2010). However, proponents of price Public network industries such as electricity markets were cap regulation argue that in contrast to price cap regimes, rev- traditionallygovernedbyrate-of-return(ROR)regulation.However, enuecapregulationincentivisespriceincreasesthatdepartfromthe thisregulatoryapproachwasoftencriticisedforitslackofincentives Ramsey pricing rule, creates output restrictions, and may lead to in minimising costs and tendency to encourage too much invest- major reductionsinsocial welfare(Comnes etal., 1995;Crew and mentincapital(AverchandJohnson,1962;LaffontandTirole,1993; Kleindorfer,1996b;Decker,2009).OtherssuchasDutraetal.(2015) Sappington, 1994). As electricity sectors underwent major market find that price cap regulation induces incentives for supply-side reforms, ROR was eventually replaced with incentive regulation energyefficiencybyreducingnetworklosseswhilebothschemescan schemes to constrain the market power of privatised utilities and beimplementedtoachievethesamelevelofwelfare. encourageefficiency. Theargumentsinsupportofaparticularincentivepricingplan In light of the many incentive schemes that exist, advocates have evolved from a theoretical framework without knowledge of liketheAustralianEnergyRegulator(2013)andtheJamaicaPublic behaviouraldifferencesinpractice.Therefore,Iaimtoreconcilethese Service (2014) claim that replacing price caps with revenue cap arguments by using actual industry parameters to quantitatively regulation will provide greater incentives for cost recovery and assessdifferencesinrevenueandpricecapschemesintermsofprices, investment in energy efficiency and promote energy conservation energy conservation, and welfare. This represents the first known inelectricitymarkets.Theineffectivenessofpricecapregulationin attemptatperformingacomparativeanalysisofbothschemesusing encouraging energy conservation from a demand-side perspective parameterscalibratedwithindustrydata.Itakeademand-sideman- agementfocusanduseafirmoperatingunderaverticallyseparated electricity market structure with a monopoly in the downstream (distributionandretail)segment.Tocapturetheregulator’sproblem E-mail addresses: [email protected], [email protected]. ofinformationasymmetriesrecognisedbyLaffontandTirole(1993), jm. Ialsoaddresscostanddemanduncertainties. https://doi.org/10.1016/j.eneco.2018.07.029 0140-9883/©2018ElsevierB.V.Allrightsreserved. A.Campbell/EnergyEconomics74(2018)802–812 803 Understandingdifferencesbetweeneitherschemehasimportant BasedontheEuropeanBankforReconstructionandDevelopment policy implications. For example, developing countries that gener- (EBRD) definition of sector transition which has five levels, rang- ate a substantial portion of their electricity from imported fuels ing from extensive government control (Level 1) to large-scale are more prone to price instability, and may show a preference privateinvolvement(Level4+),electricityreformmeasuresunder- for price cap regulation to ease inflationary pressures on the local taken in many developing countries can be categorised according economy. This is of particular significance when there is substan- toLevel4.Thisinvolvestheseparationoftheindustryintogener- tialpass-throughtodomesticinflation.However,iftheargumentfor ation,transmission,anddistribution;settingupofanindependent energyconservationholdsforarevenuecap,heightenedsecurityof regulatorwithrulesforcost-effectivetariff-settingformulatedand supplyandclimatechangeconcernsmaynecessitatetheuseofrev- implemented;andsomedegreeofliberalisation(TheEuropeanBank enuecapregulationwhichfavourspriceincreases.Thisisimportant for Reconstructionand Development,n.d.). Thiscouldalso include sinceaclimate-inducedincreaseinelectricitydemandcangiverise separationofthedistributionandretailsegmentsasisthecasein tohigheremissionsduringpeakdemandhours(Chenetal.,2015). manydevelopedcountriessuchasNordicstates. Theseemissionscouldbereducedthroughdemandflexibilityarising fromhigherrenewableenergypenetration,butKroezeetal.(2004) 2.1. Incentiveregulationplans arguethatend-useefficiencyalsohasthepotentialtocreatesubstan- tialreductionsingreenhousegasemissionsindevelopingcountries. Traditionally, rate of return regulation has been the primary Inthisparticularcase,cautionshouldbeexercisedsinceincreased meansofregulatingutilities,wheretheutilityisallowedtorecover pricescouldresultinthesubstitutionofoilandgas-firedgenerat- itscostsandaguaranteedrateofreturn.Thispricingmethodology ingunitsforcheaperandmorecarbon-intensivetechnologiessuch hasbeencriticisedonanumberofgrounds,mostnotablyofwhich ascoal(Xieetal.,2014).Ingeneral,choiceofaspecificschemewill istheincentiveitgivestofirmstoover-investincapitalaswasfirst involvetrade-offsandisdependentonthegoalsofgovernmentand pointedoutbyAverchandJohnson(1962).Thishasledtothedevel- regulators. opmentofvariousincentiveregulationschemes.Commonformsof To test the theoretical arguments about price setting, energy theseschemesthatexistinpracticeincludepricecapregulation,rev- conservation,andsocialwelfareforbothschemes,Iuseaconstrained enuecapregulation,sliding-scaleregulation,yardstickcompetition, optimisation problem similar to Brennan (1989)and De Villemeur andmenuofcontractsregulation.RelativetoRORwhereconsumers et al. (2003), and apply it to the electricity network in Jamaica. I bearalltherisks,sinceoperatingandinvestmentcostsarereflected findthatundercertainconditions,relativetopricecapregulation, inpriceincreases,differencesamongincentiveschemesarelargely revenue cap regulation creates conditions for higher and ineffi- explainedbyriskallocationandincentives. cientpricesetting,encouragesenergyconservation,andiswelfare- IntheUnitedKingdomandmanyLatinAmericancountries,price reducing. The remainder of the paper is organised as follows: cap regulation is the preferred form of regulation used to incen- Section2providesabriefoverviewofmarketreformsandvarious tivisecostreductionsandconstrainthemarketpowerofprivatised incentiveregulationschemes.Section3presentsthemainelectric- utilities. Under a price cap, constraints are placed on the path of itypricingmodelsused.InSections4and5,Icalibrateeachpricing pricesforservicesprovidedbyaregulatedfirmduringafixedperiod modelwithparametervaluesthatapproximatethekeycharacteris- oftime.Withpricesconstrained,firmsincreaseprofitsbyreducing ticsoftheregulatedentity,discussthedataused,performanalyses, costorincreasingsales.Therefore,unexpectedcostchangesandvol- and report their results. Section 6 highlightsthe main conclusions umetric risk are borne mostly by the firm. This reduces the moral andpolicyimplicationsofthestudy. hazardproblempresentinmanagerialeffort,butifregulatorshave limitedknowledgeofthefirm’sabilitytoreducecoststhiscanpoten- tially allow the firm to extract significant rent from consumers or 2. Marketreformsandincentiveregulation it can lead to the firm’s detriment (Joskow, 2007). Another draw- back of price caps is the potentialto deterinvestmentand reduce Policymakers inbothdevelopedanddevelopingcountrieshave service quality (Sappington, 2002) as effort is expended at min- long believed that it is most efficient for electricity to be supplied imising cost, though Banerjee (2003) does not find any evidence byasinglefirm.Itisthisthinkingthatgaverisetothecreationof that price cap causes deterioration in service quality. Despite its anaturalmonopolycharactersisedbycommonownershipandsole shortcomings,ArmstrongandVickers(2012)showthatsocialwel- responsibility for electricity generation, transmission and distribu- farecanincreasewhenregulatedfirmsoperateunderapricecapby tionservices.Joskow(1997)postulatesthatutilitieshavemaintained limitingcross-subsidizingpricingbehaviour. this vertically integrated structure because of significant operat- In order to overcome volumetric risk, European countries such ing and investment complementarities that allowed them to ben- asNorwayandSwedenshowapreferenceforrevenuecapregula- efit from economies of scale and scope. However, this traditional tion(Jarvis,2011).Initssimplestform,constraintsareplacedonthe belief is increasingly being challenged. Indeed, many developed regulatedfirm’srevenuesratherthanprices.Hirstetal.(1994)advo- and developing countries have implemented major structural and catedfortheuseofrevenuecapsbasedontheideathattheyprovide regulatory reforms to promote competition within the electricity greaterincentivesfordemand-sidemanagementcomparedtoprice sector. cap regulation. Though both schemes encourage cost reduction, a Large-scalereformmeasuresinelectricitysectorsacrossdevel- price cap encourages higher sales while a revenue cap promotes oped countries dates back to as early as the 1980s. These reform energysavingsthroughflexiblepriceadjustments.Underabinding measureswerelargelyaimedatintroducingprivatesectorpartici- revenuecap,thefirmcanincreaseprofitbyreducingcoststhrough pationandthepromotionofcompetitionthrougheconomicdereg- reductions in output or increasing price. Revenue caps are more ulation. In contrast, the introduction of substantial reforms in the suitableinsituationswherethepositivecovariancebetweencosts electricity sectors of developing countries has been a more recent and sales is low. If tariffs are reflective of the utility’s costs and phenomenon.Itwasnotuntiltheearly1990sand2000sthatsuch demandisinelastic,apricerisewillreducethequantityofelectric- reformswereinitiated.BaconandBesant-Jones(2001)theorizethat ity demanded and total costs, while increasing revenue. With the comparatively,introducingelectricityreformmeasuresindevelop- revenuesoftheutilitycapped,thereductionincostswilltranslate ingcountriesismorechallengingthanindevelopedcountriesand directly into profits. This incentivises price increases for the least everyeffortshouldbemadetoensurethatsuchmeasuresareboth inelasticmarketsegmentsservedbyutilities.Thisideawasadvanced desirableandpoliticallyfeasiblebeforeimplementation. byJamison(2007)andwassimilarlysupportedbyLantz(2008)who 804 A.Campbell/EnergyEconomics74(2018)802–812 emphasizedthatuseofrevenuecapsisa‘badidea’whendetailed deliver.FurtherempiricalevidencebyKopsakangas-Savolainenand information about the firm’s cost function is not available. A rev- Svento (2010) show that menu of contracts regulation provide enue cap may also lead to substantial reductions in social welfare sufficient incentives to solve moral hazard and adverse selection sincetheregulatedfirmislikelytodeviatefromRamseypricingby problems. charginghigherpricestoconsumersasdemandbecomesmoreelas- The preceding discussion provides a comparison of the many tic (Comnes et al., 1995; Crew and Kleindorfer, 1996b). Crew and incentiveregulationschemesthatexistinpractice,butinthisstudy Kleindorfer(1996b)alsoclaimthatrevenuecapsprovideincentives Ionlyanalysedifferencesbetweenpriceandrevenuecapregulation forpriceincreasesthatcouldexceedtheunregulatedmonopolylevel toreconcileargumentsputforwardbyproponentsandopponentsof resultinginsubstantialreductionsinsocialwelfare. bothschemes.However,sinceJamaica’selectricitysectorisusedin Pricecapsarebadatextractinginformationaboutthefirm’sabil- theapplication,Idiscusskeytenetsoftheindustryinmoredetailin itytoreducecostsandcanleadtosupernormalprofits,butprovide thenextsection. goodincentivesformanagerstominimiseproductioncosts–alim- itation of ROR schemes. As a result, sliding-scale regulation serves 2.2. PriceregulationinJamaica asacompromisebetweenpricecapandRORschemes(Lyon,1996). Manyincentiveregulationschemesarehybridinnature,butthegen- Theinitialmotivationbehindstructuralreformmeasuresimple- eral rule is that sliding-scale regulation allows for provisions that mentedinJamaicalargelyresultedfromtheneedtoimprovefinan- redistribute extra rents to customers if the company earns profits cial performance and operational efficiency of government-owned inexcessoftheallowedrateofreturn.Theycanalsobesymmetric enterprises.Thiswasprimarilyseenasanopportunitytorelievetax- – allowing for price increases when the firm is exposed to losses payerburdenandtoimprovetheoperationalefficiencyoftheutility beyondacertainlimit(ParkerandKirkpatrick,2005).Ineithercase, ratherthanagenuinemeanstointroducecompetition.Theprocess downside and upside risks are shared by consumers and the firm. of reform measures undertaken can be broadly divided into three However, information requirements can be substantial relative to categories: (1) private sector participation; (2) structural reforms otherschemes(ParkerandKirkpatrick,2005)andtheutilitymaynot to address the vertical separation of electricity supply functions bemotivatedtopursueefficiencyasstronglywhenexcessprofitsare suchasgeneration,transmissionanddistribution;and(3)regulatory shared(CrewandKleindorfer,1996a). reformsthatcodifybehaviourandprovideincentivesforutilitiesto In terms of yardstick competition, this entails comparing firms operateefficiently. engaged in the same line of business with each other. To infer In 2001, the Government of Jamaica sold 80% of its stake in the efficient cost level, the regulator uses the costs of comparable theJamaicaPublicService–thesoleelectricitysupplierinJamaica. firmsasabenchmark(Shleifer,1985).Asthefirm’spriceandown Majority share ownership is held jointly between Marubeni cost drivers are delinked, this regulatory mechanism provides the Caribbean and Korea East-West Power Company Limited (Jamaica regulated firm with robust incentives to employ optimal effort in Public Service, 2013b). The government of Jamaica retained 19% reducingcostsbelowtheindustryaveragesinceitisthesoleben- whilethefinal1%wasownedbyminorityshareholders.Underthe eficiary of these cost reductions. Some limitations of this model OfficeofUtilitiesRegulation(OUR)Actof1995,regulationandover- include possible collusive behaviour among firms (Potters et al., sight of the sector remains the responsibility of the OUR which 2004) and the difficulty in inferring the efficient cost level when was established in 1997 by an Act of Parliament. Its responsibili- regulatedentitiesoperateinanheterogeneousenvironment(Jarvis, tiesincludetheissuanceandreviewoflicences,reviewoffive-year 2011).Forinstance,itwouldbemisleadingorimpracticaltocom- tariffapplicationsandrequestsforannualincreases,andtheinvesti- parefirmsthatdifferintermsofgeographicallocationandcustomer gationofbreachesbytheelectricityprovider.Inadditiontothis,the base.However,theproblemrelatedtodifferencesinenvironmental OUR issues and reviewsRequests for Proposals (RFPs) for capacity operatingconditionscanbeminimisedbyusingtechniquessuchas additiontotheelectricitygrid(OfficeofUtilitiesRegulation,2004). randomparametersstochasticfrontieranalysis(SFA)andstochastic Jamaica’s electricity generation sector was fully liberalised in non-parametricenvelopmentofdata(StoNED)whichcombinesfea- 2004butmostoftheapproximately820MWofelectricityneeded turesofSFAanddataenvelopmentanalysis(DEA).1 Thisregulatory to meet demand in the country is still generated by the JPS. The approachistypicallyusedalongsideotherschemesandisgenerally majorityofJPS’electricityisgeneratedfromimportedfossilfuel,but applicableindevelopedcountriesthatoftenhaveunbundledmarket it also owns eight hydro-electric plants with capacity of approxi- structures.Norway’sincentiveregulationschemealsohaselements mately25MW.Ofthetotalrequiredcapacityofthecountry,215MW ofyardstickregulation(seeAppendixA). ofcapacityisavailabletothedistributorunderlong-term(20years) LaffontandTirole(1993)arguethatoptimalincentiveschemes power purchase agreements (PPAs) with the four independent shouldbedesignedtoaddresstheprincipal-agentproblemassoci- powerproducers(IPPs). atedwithasymmetricinformation.Theprincipal(regulator)hasfar Eventhoughcompetitionhasbeenintroducedintothegeneration lessinformationabouttheutility’s(agent)operations.Forinstance, segmentandregulatoryentrybarriershavebeeneliminated,theJPS regulatedfirmsarebetterinformedaboutthecostofprovidingelec- retaineditsverticalstructureandcontinuestoperformthefunctions tricity and consumer demand behaviour. Given the positive and ofgeneration,transmission,anddistribution.Onthegenerationside, negativeattributesofthevariousschemesdiscussedpreviously,the anumberofprivateentitiesoperatealongsidethestate-ownedgen- regulator can do even better by presenting firms with a choice of eratortosupplyelectricitytothenationalgridownedandoperated regulatorycontracts(LaffontandTirole,1986,1993).Thisiscalled bythemonopolydistributor(JamaicaPublicService,2013b). ‘menu of contracts’ regulation and induces the optimal behaviour During the 2001 period in which the electricity company was of firms. Such contracts are often complex and require substantial privatised, the OUR introduced price cap regulation to incentivise information,butRogerson(2003)showedthatinareal-worldcon- improvementsinoperationalefficiency.Thespecificformofthecap text, a menu consisting of two simple regulatory contracts (fixed usedis priceorcostofservice)iseasytounderstandandisoftenenoughto capturethemajorityofsurplusthatamorecomplexcontractwould pt=pt−1(1+dI+X+Q+Z) (1) where pt−1 is the non-fuel tariff at the beginning of the price cap 1 Foradetailedexpositionofthesetechniques,seeKuosmanenetal.(2013). period, dI accounts for inflation and exchange rate devaluation, X A.Campbell/EnergyEconomics74(2018)802–812 805 cishaanngeeffisicnietnhceyqtuaarlgietyt,oQfsiesrtvhiceeapllroowvieddedprtiocethaedcjuussttmomenetrst,oanredflZecist where4i =−∂∂pqii,,tt.pqii,,tt istheelasticityofdemandforelectricitywith respecttoelectricitytariffs.Thisfunctionalformassumesthatthere theallowedrateofpriceadjustmentforspecialreasonsnotcaptured willbesomedemandforelectricityirrespectiveofthepriceifk >0. bytheotherelementsoftheformula(OfficeofUtilitiesRegulation, i ThisdemandfunctionisdiscussedinmoredetailinSection4.1. 2004). Under this regime, the non-fuel tariff accounts for all costs Usingtheinversedemandfunctionp (q ),totalvalueVtocon- exceptfuelwhichispassedonfullytocustomers(irrespectiveofthe i,t i,t sumersofconsumptionquantityq istheareaunderthedemand priceoffuel)andissubjecttoheatrateandelectricitydistribution i,t curvegivenas lossadjustments.Itwasoriginallyimplementedforthreeyearswith XandQsettozero.Theideawastoallowtheutilitysometimeto improveefficiencyandgivetheregulatortimetodevelopappropri- (cid:2)n q(cid:3)i,t atemeasuresofXandQbeforetheregimewasfullyimplementedin V(q1,t,...,qn,t)= pi,t(qi,t)dqi,t. (4) June2004andthepricecapperiodextendedtofiveyears. i=1 0 In2014theJPSrequestedthattheOfficeofUtilitiesRegulation changetheexistingpricecapplantoarevenuecap(JamaicaPublic WecanthendetermineconsumersurplusCSbyevaluatingEq.(4) Service, 2014). Without any empirical justification, the electricity overtherange(0,qi,t)andsubstitutingEq.(3)intoitssolutionsuch providerarguedthatarevenuecapwillensurethatsufficientrev- that enuesareearnedtocoverallprudentcostsinadditiontothereturn (cid:2)n oninvestment.Additionally,itadvocatedforarevenuecaponthe CS(p1,t,...,pn,t)=V(q1,t(p1,t),...,qn,t(pn,t))− pi,tqi,t(pi,t) (5) basis that it encourages energy conservation and efficiency. After i=1 ninemonthsofdeliberations,theregulatorrejectedtheproposalin January2015usingtheoreticalargumentssimilartothatofComnes Ontheotherhand,thevalueofproducersurplusPSiscalculated etal.(1995)andCrewandKleindorfer(1996b)eventhoughitwas as recentlyapprovedinJanuary2016.Inlightofthissituation,thereg- ulated electric utility in Jamaica serves as a natural case study to (cid:2)n empiricallytestfordifferencesinpricesetting,energyconservation, PS(p1,t,...,pn,t)= [pi,t−ci,t]qi,t(pi,t) (6) andwelfaresinceithadanestablishedpricecapregulatoryregime i=1 that has been in operation since 2001 and now operates under a revenuecapscheme.2 3.1. Ramseypricing 3. Optimisationmodels Thefirst-bestsolutionforpricingelectricityismarginalcostpric- ing because it maximises social welfare. However, marginal cost To examine how price cap regulation compares with revenue pricingwillresultintheregulatedfirmmakingaloss,thusrequir- capregulation,Ifirstpresentabasicmodelofaregulatedfirmthat ingtheregulatortooptforthesecond-bestRamsey(1927)pricing operatesunderaverticallyseparatedmarketstructure.Thisisthen rulewhichmaximisessocialwelfaresubjecttotheconstraintthat followedbythespecificset-upoftheRamsey(1927)pricing,price thefirmbreakeven.Underthispricingrule,thefirmwillincrease cap,andrevenuecapconstrainedoptimisationproblems. prices, above marginal cost, for goods with inelastic demand. In The basic model consists of a regulated firm that has a natural contrast,goodswithhigherelasticitiesofdemandwillhavelower monopolyindownstreamelectricityoperationswhereitisrespon- prices. Ramsey pricing therefore serves as natural benchmark for sibleforretailanddistributionservices.Theregulatedfirmmayor analysing the differences between price and revenue cap schemes may not operate in the upstream segment (electricitygeneration), andisdiscussedfirst. butthisisimmaterialasthefocusisonhowtheregulatorypolicy Formally,aregulatorthatiswell-informedaboutthefirm’scost optioninfluencesfirmbehaviourindownstreamoperations. anddemandstructurewillaimtomaximisesocialwelfaredefined Theregulatednaturalmonopolysuppliesahomogeneousgood– as the sum of consumer surplus CS and producer surplus PS, sub- electricity–toi=1...ndistinctmarkets:residential,commercial, jecttothebreak-evenconstraint.Thus,Ramseypricesmaximisethe andindustrial.Ifc ismarginalcostformarketi,q istheelectricity followingLagrangian: i i soldineachmarket,pi istheretailpriceofelectricityinmarketi, (cid:4) (cid:5) andFiscommonfixedcost;thefirmseekstomaximisetheprofit (cid:2)n functionattimetsuchthat maxL=CS+PS−k [pi,t−ci,t]qi,t(pi,t)−Ft (7) pi,t,k i=1 (cid:2)n pt= [pi,t−ci,t]qi,t(pi,t)−Ft (2) Thefirstorderconditionwithrespecttopriceis i=1 (cid:6) (cid:7) ∂L ∂q ∂q ∂q ∂q To simplify the model, I assume that demand in each market ∂p =pi,t∂pi,t −ci,t∂pi,t −k qi,t+pi,t∂pi,t −ci,t∂pi,t =0 (8) i,t i,t i,t i,t i,t segmentisindependentofeachothersothatthecross-priceelastic- itiesarezero.Residentialconsumers,forinstance,donotusemore SolvingEq.(8)resultsin electricityinresponsetoanincreaseinthepriceofcommercialor (cid:8) (cid:9) industrialelectricitytariffs. k 1 I also assume a constant-elasticity demand function for each li=− 1−k 4i i=1,...,n (9) marketsegmentoftheform qi,t(pi,t)=kipi,t−4i, 0≤4i<1 (3) wsohceiarlewleil=farepiw,tp−i,itclil,tinacnrdeakseiswthheenshpardoofiwtsaprreicreedinudciecdatbinygonheowdomllaurc.h WithRamseyprices,themark-upofpriceovercostisinversely proportionaltothepriceelasticityofdemandineachmarket.This 2 Examplesofothercountriesthatusepriceandrevenuecapregulationschemes impliesthatpricesandmark-upsarehigherinmarketsegmentswith areprovidedinAppendixA. lowerpriceelasticityofdemand(BaumolandBradford,1970).Under 806 A.Campbell/EnergyEconomics74(2018)802–812 theassumptionthatpriceisgreaterthanmarginalcost,wehavethat sinceinefficientproductionpracticeswillonlyreduceprofitswithout k<0.However,ifk = 0,thebreak-evenconstraintisnotbinding generatinganyadditionalwelfare(Brennan,1989). andEq.(9)reducestofirst-bestpricingwherepriceequalsmarginal cost,thatisp = c . 3.3. Revenuecap i,t i,t 3.2. Pricecap If the firm maximises profit in accordance with Eq. (2), the Lagrangianforaregulatedfirmthatissubjecttoarevenuecapis In light of information asymmetries that usually exist between ⎛ ⎞ the regulator and the regulated entity; Laffont et al. (1996) and (cid:2)n (cid:10) (cid:11) (cid:12) (cid:13) (cid:2)n (cid:12) (cid:13) (cid:2)n (cid:12) (cid:13) De Villemeur et al. (2003) argue that the regulator can decentral- L= pi,t−ci,t qi,t pi,t −Ft−k⎝ pi,tqi,t pi,t − pi,t−1qi,t−1 pi,t−1 ⎠ ize Ramsey prices using a global price cap formula that allows i=1 i=1 i=1 (15) the utility to choose its prices when there is uncertainty about thefirm’sdemandandcoststructure.TomovedirectlytoRamsey prices, quantity weights under the price cap must be proportional Differentiatingwithrespecttopi,tgivesthefirstorderconditions toactualquantitiesgeneratedfromtheRamseypricingequationin (cid:8) (cid:9) SecTtioonill3u.1st.ratethemechanicsofthisprocess,IfollowNeu(1993) ∂∂pL =qi,t+pi,t∂∂pqi,t −ci,t∂∂pqi,t −k qi,t+pi,t∂∂pqi,t =0 (16) i,t i,t i,t i,t and assume that the regulated firm maximises profit subject to a global price-cap constraint where the weighted average of price whichcanberewrittenas changes of the n regulated market segments between t − 1 and t 1 mustnotexceedzeroshownby li=(1−k)4i +k i=1,...,n (17) (cid:2)n (pi,t−pi,t−1)wi≤0 (10) whereli= pi,tp−i,tci,t. i=1 Aslongas4i<1,whichisusuallythecasefortheutilityindustry, kwillbegreaterthan1andtherevenuecapdeliverspricesthatsat- wherew istheweightofserviceiintheconsumptionbasket.Note i isfyaninteriorsolution,butdeviatefromtheRamseypricingrule. thattheJamaicancaseinEq.(1)issimilartoEq.(10)exceptthatdI,X, ThiscanbeeasilyseenbyrearrangingEq.(16)sothat Q,andZsettozerotoallowforeaseofcomparisonwiththerevenue cap. p = ci,t4i i=1,...,n (18) CombiningEqs.(2)and(10)givesthefirm’sobjectivefunctionas i,t (1−k)(4i−1) (cid:4) (cid:5) (cid:2)n (cid:2)n Thismeansthatpricesarehigherinmarketswithmoreelastic L= [pi,t−ci,t]qi,t(pi,t)−Ft−k (pi,t−pi,t−1)wi (11) demandandlowerininelasticmarketsastherevenuecapbecomes i=1 i=1 morebinding. where k is the Lagrange multiplier so that differentiating with respecttop givesthefirstorderconditions 4. Calibrationofmodelparameters i,t ∂L ∂q ∂q Tosolvetheconstrainedoptimisationmodels,demandandcost ∂p =qi,t+pi,t∂pi,t −ci,t∂pi,t −kwi=0 (12) parametersareneeded.Inthissection,Idiscusshowthesedemand i,t i,t i,t andcostparametersareestimatedandprovideabriefdescriptionof theinitialdataused. By setting w = q , it is easy to see why the global price cap i i,t satisfiestheinverseelasticityrulewhere 4.1. Estimatingthedemandfunction 1 li=(1−k)4i i=1,...,n. (13) utilFitoyr,eIaacshsuomfethaectohnresteanmta-erklaesttisceitgymdeenmtsasnedrvfuedncbtiyonthoefrtehgeulfaotremd similar to Eq. (3), qi,t(pi,t) = kipi,t−4i. This functional form follows Ingeneral,Eq.(13)isdifferentfromEq.(9)becausethefirmis thespecificationoutlinedinCampbell(2018)whereqisalsoafunc- allowed to earn a profit under a price cap, but if the exogenous tionofincome(y)andtheurbanshareofthepopulation(u).Since weights are proportional to each market’s electricity consumption pisthevariableofinterest,fixedvaluesofyanduareassumedand lveevreifileresatlhisaetdthuendLaegrrRaanmgesemyuplrtiipcilniegrsoufcthhethparticweic=apqc∗i,ot,nosntreairnetadanildy incorporatedintoaconstantki suchthatki = aiyib,tieciui,t.3 Anesti- mate of k is obtained after calibrating the demand function with Ramseyequationarerelatedasfollows: i theknownparametersqi,t,pi,t,and4i.Forsimplification,zerotrans- mission and distribution losses are assumed so that output q of 1 i,t k= i=1,...,n. (14) electricitygeneratedisalsoextractedbyconsumers. (1−k∗) 4.2. Costparameters ∗ wherek istheLagrangemultipliergivenbythesolutiontoEq.(7) andq∗i,t isRamseyquantityweight.Thus,thepricesinducedbythe Up-to-datemarginalcostdataarenotpubliclyavailable,butthe globalpricecapareoptimalandarethesameasthosegivenbythe JamaicaPublicService(2014)publishesdataontotalvariablecost RamseysolutiontoEq.(7). exclusive of the fuel component. Since the original data does not With 0 < k < 1, the global price cap moves towards Ramsey pricesaskincreasesandtheconstraintbecomesmorebinding.Thus, thepricesandquantitiesderivedmaximisewelfaresubjecttoprices 3 Theconstanttermisaiwhilebiandciaretherespectivecoefficientsofincome notexceedingthecap.Thisencouragescost-minimisingbehaviour andtheurbansharevariableforeachmarket. A.Campbell/EnergyEconomics74(2018)802–812 807 give any information about the variable cost attributable to each Marginalcost,measuredinUS$perkWh,is0.2710,0.2735,and customerclass,themarginalcostforelectricityinmarketiattimet 0.2413 for the residential, commercial, and industrial segments, isapproximatedas respectively.The fixed cost estimatefor JPS is US$413millionand is also obtained from Jamaica Public Service (2014). It represents (cid:18) ci,t= ni=1VqNsFi,ti,t×vi,t +FQCtt (19) ampapirnolyxiimncaltuedlyes89d%eporfecthiaeticoonm,cpoasntyo’sfctoatpailtanl,oann-fdueplucrochstass.eTdhpisocwoesrt fromindependentpowerproducers. whereVNFi,tisthevariablenon-fuelcost,FCtisthetotalfuelcost,Qt istheaggregateelectricitysold,qs istheamountofelectricitysold 5. Analysisanddiscussion i,t tocustomerblocki,andvi,tistheallocationfactorforeachblock. FollowingasimilarapproachbyJamaicaPublicService(2014),a Using the solution and functions provided in the previous uniformfuelchargeFCt/Qtisascribedtoeachcustomerblock.Tocal- sections,pricesandquantitiesarecalculatedforthepricecapand culatetheallocationfactorforeachblock,Iassumethatthevariable revenue cap schemes for the three markets served by the utility non-fuelcostcanbeallocatedbasedontheshareoftotalenergyand provider.Recallthatinthecaseofthepricecap,theweightsapplied demandchargeforeachblock.Marginalcostswerecomputedacross to Eq. (10) are based on the quantities obtained from maximizing thetwelveblocksofconsumersandsimpleaveragestakenforthe Eq. (7). I also calculate the social welfare changes associated with threemaincustomersegments. eachschemeusing2013tariffsasthebenchmarkcase. 4.3. Data 5.1. Prices,output,andwelfarechanges Iuse2013datafortheJPSwhichcurrentlyservestwelveblocksof The price estimates of the constrained optimisation problems customers.Theseblockshavebeenreclassifiedintothreemaincus- are reported in Table 2 for both regulatory options. For compari- tomersegments:residential(Rate10),commercial(Rate20/40),and sonpurposes,Ialsoincludethemarginalcostestimatesandoriginal industrial (Rate 50). Each rate class has different customer blocks. tariffsfor2013. For example, Rate 10 may include customers that consume below ThreekeyfindingsemergefromTable2.Firstly,prevailingtariffs 100kWhpermonthandthosethatconsumeabovethatlimit.Except foreachcustomersegmentinJamaicacontravenetheinverseelas- forthedemandelasticitiesobtainedfromCampbell(2018),themain ticityrulewhichrequiresthemark-upofpriceovermarginalcostto sourceofthedatausedisJamaicaPublicService(2013a). beinverselyproportionaltotheelasticitiesofdemand.Forexample, Table1showstheinitialdataonelectricityprices(tariffs),quanti- residential consumers are most responsive to price changes, but ties,priceelasticitiesofdemand,andmarginalcostsfortheregulated paidthehighestrateforelectricityin2013whencomparedtothe firm attributable to each customer segment, as well as total fixed othercustomergroups.Inasimilarapplicationtoutilitynetworks costs. The average unit price of electricity is denominated in US$ inFinland,Kopsakangas-Savolainen(2004)alsofoundthatprevail- andcalculatedastotalrevenueattributabletoeachcustomerclass ingelectricitypriceswerenotefficientlyset.Secondly,optimalprice divided by their respective sales volume. In 2013, residential cus- setting–apricecapbasedonRamseyweights–wouldrequirean tomersconsumedapproximately996GWhofelectricityatanaver- increaseinpriceforthecommercialandindustrialcustomersof37% agepriceofUS$0.3891perkWh.Commercialcustomerswerebilled and12%,respectively;andadropinpriceforresidentialcustomers for1366 GWhatUS$0.3640perkWhwhilethesmallestcustomer (27%).Inthissituationtheinverseelasticityruleissatisfiedsincethe class, industrial customers, was billed 605GWh at US$0.3030 per pricemark-upislowestintheleastinelasticresidentialmarket.This kWh. alsoimpliesthatexistingconsumersinthecommercialandindus- The absolute value of the price elasticity of demand for each trial markets are being cross-subsidized by residential consumers. customer segment is 0.82, 0.15, and 0.25, respectively. Campbell Finally,pricesunderarevenuecapcontravenetheinverseelastic- (2018)derivedtheselong-runpriceelasticityofdemandestimates ity rule. Specifically, residential prices would be approximately 13 over the period 1970 to 2014 using the bounds testing approach timeslargerthanexistingtariffswitha43%declineand13%increase tocointegration.Themodelheestimatedwastestedforparameter observedinthecommercialandindustrialmarkets,respectively.For constancy and passed a range of diagnostics tests covering serial thecommercialsegment,pricealsofallbelowmarginalcostunder correlation,normality,functionalform,andheteroscedasticity. therevenuecap. Table1 Initialdatausedinconstrainedoptimisationmodelsa. Variables Coefficient Residential Commercial Industrial Constant(inmillions) ki 459 1174 449 Originaltariff(US¢/kWh) pi,t 38.91 36.40 30.30 Originalquantity(GWh) qi,t 996 1366 605 Demandelasticity 4i 0.82 0.15 0.25 Marginalcost(US¢/kWh) ci,t 25.83 26.05 24.82 Commonfixedcost(US$,inmillions) Ft 413 a Datafor2013areusedfortariff,quantity,marginalcost,andfixedcost. Table2 Tariffcomparisonundertheoptimalpricecapandrevenuecapschemesa. Markets Demandelasticities Marginalcosts Originaltariffs Optimalpricecaptariffs Optimalpricecap(%D) Revenuecaptariffs Revenuecap(%D) Residential 0.82 25.83 38.9 28.3532 −27.1126 500.2171 1185.905 Commercial 0.15 26.05 36.4 50.7287 36.83469 19.5422 −43.3364 Industrial 0.25 24.82 30.3 35.0512 12.21385 35.1699 12.51907 a Marginalcosts,originaltariffs,optimalpricecaptariffs,andrevenuecaptariffsareinUScentsperkWh.Tariffchangesarebasedoncomparisonwith2013tariffs. 808 A.Campbell/EnergyEconomics74(2018)802–812 The preceding evidence aligns with the views of Crew and thesensitivityofthepricecapandrevenuecapmodelstochangesin Kleindorfer(1996b)whosupportpricecapsandbelievethatdemand- thedemandelasticityandmarginalcostparameters.Ialsoexamine side management policies based on revenue caps are inefficient. differencesbetweenapricecapbasedonRamseyquantityweights Underarevenuecap,largeincreasesinpricewillleadtoareduction andtheuseofpastquantitieswhentheregulatorcannotpredictthe inelectricitysoldtothemorepricesensitiveresidentialcustomers. Ramseyquantitieswithcertainty. Aselectricityusefalls,totalcostsfallmorethanthedeclineinrev- enues.Thisleadstoanoverallincreaseintheutility’sprofits.Infact, 5.2.1. Impactofdemandelasticitychanges theutilitymaybemoreinclinedtomovetowardspeak-loadpricing Thesizeofdemandelasticitiescanhavevariedeffectsonrelative to induce residential consumers to shift their consumption to the prices,quantities,andwelfareundereachscheme.Todemonstrate, off-peakperiodwheremarginalcostislower.Inthiscase,itisableto I decrease residential demand elasticity threefold and show the generatethemajorityoftherevenuefromcommercialandindustrial impact of 100 linearly-spaced values over the range of 0.27 and customersthatcontinuetoconsumeinthepeakperiod.Ingeneral, 0.82,whileholdingallothervariablesconstant.Fig.1showsthatas theutilityhasanincentivetominimiseitsfixedcharges,soitisnot demandbecomesmoreelasticforresidentialcustomers,pricefalls hardtounderstandwhysuchaschemeislikelytounderminenew slowlyforthatcustomersegmentunderapricecapbutrisesmore investmentincapacity.Withoutadditionalinvestments,thiscould sharplyunderarevenuecap.Thistrendisreversedforthecommer- alsoreducetheincentivefortheutilitytomoveto100%electricity cialandindustrialsegments,butpricesstarttoriseunderarevenue coverage(MinistryofEnergyandMining,2009),thusconflictingwith capwhenelasticityincreasesbeyondacertainpoint. Jamaica’s2030NationalDevelopmentPlan. The sub-plot in Fig. 1 for electricity sold shows strong sup- Thepricechangesassociatedwiththetwoschemesalsohavesig- port for the energy conservation view under a revenue cap since nificant implications for energy conservation and societal welfare. totalelectricitysalesdeclineasresidentialconsumersbecomemore Table3showsthattotalelectricityconsumptionrisesby7%under responsivetopricechanges.Incontrast,salesincreaseunderaprice thepricecapscheme,butfallsbyabout26%underarevenuecap. capsincetheutilityhasagreaterincentivetoencourageelectricity Thissupportstheconservationistsviewofarevenuecap.However, consumption.Thisshowsthatalthougharevenuecaptransfersvol- this ignores the possible price shock consumers are exposed to if umeriskawayfromtheutilitytoconsumers,itcomesattheexpense actualdemandislessthanforecasted,andtheutilitylosesrevenue. ofmajorpriceshocksandlargereductionsinsocialwelfare. Under a price cap, the utility would be forced to make the neces- Ingeneral,welfarepercustomerundertherevenuecapisalways saryinvestmenttoreducelossesandincreasesales,butthereisno negativeanddeclinesovertheentirerangeofelasticityvalues.These guaranteeunderarevenuecapsincenewinvestmentssendsignals overallresultsshowastrongpreferenceforpricecapregulationwith ofhigherX-factorefficiencyrequirementsinthefuture.Underarev- atendencyforwelfaretoincrease. enuecap,theutilitywouldsimplyrecoverthelossesinthenextprice reviewbycharginghigherprices.Indevelopingcountries,transmis- sionanddistributionlossesareamajorsourceofinefficiencymaking 5.2.2. Impactofcostchanges demandtargetsmoredifficulttoachieve.Forexample,databythe The generation and distribution of electricity requires large USEnergyInformationAdministration(2016)showedthattransmis- investmentsininfrastructuresuchaspoles,transformers,distribu- sionanddistributionlossesin2013was26%forJamaicacompared tionlines,andsystemupgradestominimiselosses.Asaresult,the to2%,8%,and8%incountrieslikeTrinidadandTobago,Norway,and marginal cost of supplying electricity to residential communities theUK,respectively. with low population density could be quite high relative to other Theimpactonsocialwelfare,calculatedasthesumofthechanges sectors,butregulatorsdonothavepreciseinformation.Inthiscase, inconsumerandproducersurpluses,isalsodepictedinTable3.With the utility could exploit the limited knowledge of the regulator. 0.6millioncustomeraccountsin2013,thedeclineinsocialwelfare Giventhecomparativelylargerdemandelasticityoftheresidential underarevenuecapwouldapproximatetoUS$1328percustomer market,itisusefultodemonstratethebehaviouraldifferencesofthe peryearwhileUS$14wouldbegainedunderapricecap.Thisresult priceandrevenuecapschemeswhenitbecomesmoreexpensiveto is supported by Raineri and Giaconi (2005), who find evidence of supplyelectricitytothatparticularmarket. highersocialwelfareintheChileanelectricitydistributionnetwork To undertake the numerical analysis, I simulate marginal cost when optimal Ramsey weights are used with the price cap. These changesbyanalysingtheeffectsofalinearthreefoldincreasefromits general findings suggest that the revenue cap scheme is welfare- currentlevelof25.83US¢to77.49US¢fortheresidentialcustomer reducing and presents the price cap scheme as a better option for segmentonly,whileholdingallotherparametersfixed.Theresults regulators. arepresentedinFig.2. Asitbecomesmoreexpensivetosupplyelectricitytoresidential 5.2. Behaviouraldifferencesunderasymmetricinformation customers,thetariffincreasesunderbothschemes,butataslower rateunderthepricecapplan.Forcommercialandindustrialtariffs, LaffontandTirole(1993)arguedthatthepresenceofinformation asteadydeclineisobservedunderbothschemes,butthepricecap asymmetries mean that regulators generally have limited knowl- planhasthefasterrateofdeclineforcommercialcustomerswhen edge about a regulated firm’s operations. In this section, I explore marginalcostincreasesbeyondacertainpoint. Bylookingatthesheermagnitudeoftotalelectricitysold,arev- enuecapseemslikethebetterregulatoryoptionintermsofenergy conservation since the total amount of electricity sold is lower at Table3 Output,consumersurplus,producersurplus,andtotalwelfarechangesunderthe everymarginalcostpointunderarevenuecap.However,astheslope optimalpricecapandrevenuecapschemes.a ofthecurvesinFig.2demonstrate,totaloutputincreasesundera Variables Optimalpricecap Revenuecap revenue cap and decreases under a price cap suggesting that the argumentforenergyconservationislessconvincingathigherlevels Totaloutputsold(%D) 6.971 −25.6751 DCS(US$/customer) −164.677 −1723.94 ofmarginalcost.Ifhighermarginalcostsarereflectiveofadditional DPS(US$/customer) 178.6976 395.7574 investments that target improvements in the energy efficiency of DW(US$/customer) 14.02057 −1328.18 generatingunits,thisisconsistentwiththeviewofDutraetal.(2015) a Thechangeineachvariableisthedifferencebetweenvaluesattheoriginalprices whofindsthatpricecapsincentivisesupply-sideenergyefficiencyby andthenewpricescalculatedforeachscheme. minimisingnetworklosses.However,inmyparticularsetting,itis A.Campbell/EnergyEconomics74(2018)802–812 809 Residential tariff - US$/kWh 109 Total output sold - kWh 109 0.36 6 3.2 3 0.34 2.8 4 3.1 0.32 2.6 2 3 0.3 2.4 0.28 0 2.9 2.2 0 20 40 60 80 100 0 20 40 60 80 100 Commercial tariff - US$/kWh Welfare - US$/customer 0.52 0.3 20 0 0.5 0.25 10 -500 0.48 0.2 0 -1000 0.46 0.15 -10 -1500 0 20 40 60 80 100 0 20 40 60 80 100 Industrial tariff - US$/kWh 0.355 0.5 0.35 0.45 0.345 0.4 0.34 0.35 0.335 0.3 0 20 40 60 80 100 Fig.1. Impactofresidentialelasticityofdemandchanges.Dashedlinerepresentspricecap(leftaxis)andsolidlineisrevenuecap(rightaxis).Plotsarebasedonresidential demandelasticitychanges(holdingallothervariablesconstant)with100pointslinearlyspacedbetweenandincluding0.27and0.82. thecostpass-throughtohigherend-userpricesthatforceconsumers it is possible to improve welfare when a two-part tariff scheme is toconserveenergy. applied.Theinclusionoftheaccessfeeallowstheusagechargeto Thewelfaresub-plotinFig.2providestwointerestinginsights. besetequaltothefirm’smarginalcost.Therefore,theaccessfeefor First,overtherangeofmarginalcostvalues,thecurvesforwelfare eachcustomerclassshouldbesettoreflectthedifferencebetween percustomerareconvexinshape.Second,welfareisalwayslarger price and marginal cost. This approach is justified as long as high underthepricecapandpositiveinmostcases,butisalwaysnegative access fees do not prevent some customers from participating in undertherevenuecap. the market (Sappington and Sibley, 1992). However, the inelastic natureofelectricitydemandissuchthatallcustomersarelikelyto participate. 5.2.3. Demanduncertainty Laffontetal.(1996)demonstratethattomovedirectlytoRamsey prices,quantityweightsunderthepricecapmustbeproportionalto 6. Conclusionandpolicyimplications actualquantitiesgeneratedunderRamseypricing,givenconditions of information symmetry. However, if the regulator cannot accu- In this paper I have used actual data for a monopoly distribu- ratelypredicttheRamseyquantityweights,itmayopttowait,and torofelectricityinJamaicatoexploreperformanceunderpricecap set wi = qi,t−1 in Eq. (10) so that the weights are based on the andrevenuecapregulationandmakecomparisonsintermsoftheir consumptionbasketinthepreviousperiod. effectsonpricesetting,energyconservation,andsocialwelfare.In TheresultsofthisexercisearedetailedinTable4andshowsthat themajorityofsituationsanalysed,theresultsrevealapreference ifthegivenelasticityestimatesrepresentprecisedemandinforma- forpricecapregulation. tion,whichtheutilityislikelytohave,socialwelfarepercustomer Ifoundthatincontrasttoapricecapplan,arevenuecapscheme wouldincrease.Specifically,thethirdcolumnofTable4showsthat generates prices that depart from the Ramsey pricing rule with if demand is known with certainty, social welfare per customer striking differences in magnitudes observed. A revenue cap sup- improves to US$17.71 when compared to the US$14.02 generated ports the views of energy conservationists, but is less convincing under the Ramsey optimal price cap. If welfare improvement is of whenresidentialdemandbecomesmoreelasticsincetotalelectric- primary interest to regulators, this result implies that it would be ityconsumptionincreasesatafasterratecomparedtothepricecap. morebeneficialtosocietyifthepricecapregimeismaintainedand The conservation argument also loses support at higher levels of demand elasticities are used to discriminate among the different marginal cost becauseof thetendencyfor totaloutputtoincrease customersegments. ataslowerrateunderarevenuecapanddecreaseatafasterrate Two-part tariffs can be easily incorporated into this particular under a price cap. This means that a price cap could potentially scenariobyallowingtheelectricutilitytodiscriminatewithincus- encourage energy conservation at relatively higher marginal cost tomerclassesbyusingafixedaccessfeeandausagecharge,instead becauseofadditionalutilityinvestmentsthatarereflectedinend- ofusinguniformprices.Kopsakangas-Savolainen(2004)showsthat userprices.Furthermore,Ialsofindthatincontrasttothepricecap, 810 A.Campbell/EnergyEconomics74(2018)802–812 Residential tariff - US$/kWh 109 Total output sold - kWh 109 1 12 3.2 2.26 0.8 10 3 2.24 0.6 8 2.8 2.22 0.4 6 2.6 0.2 4 2.4 2.2 0 20 40 60 80 100 0 20 40 60 80 100 Commercial tariff - US$/kWh Welfare - US$/customer 0.508 0.2 150 -1250 100 0.506 0.18 -1300 50 0.504 0.16 -1350 0 0.502 0.14 -50 -1400 0 20 40 60 80 100 0 20 40 60 80 100 Industrial tariff - US$/kWh 0.351 0.4 0.3505 0.35 0.35 0.3 0.3495 0.349 0.25 0 20 40 60 80 100 Fig.2. Impactofresidentialmarginalcostchanges.Dashedlinerepresentspricecap(leftaxis)andsolidlineisrevenuecap(rightaxis).Plotsarebasedonresidentialmarginal costchanges(holdingallothervariablesconstant)with100pointslinearlyspacedbetweenandincluding25.83and77.49UScents. theinefficientpricesettingencouragedunderarevenuecapscheme rates of inflation than developed countries, an electricity provider reducessocialwelfareorgeneratesrelativelylargerwelfarelosses. thatincursfuelcoststhataresensitivetooilpricesdeterminedin Therefore, when information asymmetries are present, a revenue worldmarketswillpassthesecostsontocustomers.Thepricecap capschemeislikelytoresultinmoredevastatingeffectsonsocial isnotimmunetothisproblem,butasbothschemesreflectchanges welfare. Since demand uncertainty generally poses a problem for in input costs, nominal prices will rise faster under a revenue cap regulators,furthergainsinwelfareareachievableunderapricecap scheme.Therefore,arevenuecapcanhavemoredamagingeffectson ifquantityweightsfromthepreviousyearareusedintheregulatory theoveralleconomysincehigherelectricitypricesfeedthroughto process. furtherinflation.Althoughtheultimateperformanceofanyscheme From a policy perspective there are certain situations that dependsonthequalityofinformationandthepotentialforwelfare arguablyfavourtheuseofaparticularscheme,especiallyindevel- gains,thedecisiontoimplementshouldalsoconsiderthepotential opingcountries.Forinstance,ifthereareclimatechangeconcerns, trade-offsamongthegoalsofpolicymakers. thehigherpriceelasticityofresidentialelectricitydemandimplies Despite the intuitive nature of these results, there are a few thatthereisthepotentialtousethepriceinstrumentunderarev- shortcomings.Iassumedanenvironmentofzerotransmissionand enuecaptoreduceelectricityconsumption,thoughthismaybeless distributionlosses,butlossescanbesubstantial,especiallyindevel- effectivewhenmarginalcostishigh.Furthermore,iftheelectricity opingcountries.Likewise,thestaticsettingexaminedassumesthat network is supply-constrained then a revenue cap is more con- thefirm’stechnologyrequirementsarefixedandthereisnodynamic ducivetousingpricestobalancesupplywithdemandandavoiding interplaybetweentheregulatorandthefirm.Nonetheless,oneofthe poweroutages.Asdevelopingcountriesgenerallysufferfromhigher benefitsofincentiveregulationschemesisthatovertimeregulators learnmoreaboutthefirm’sabilitytoreducecosts.Itisalsodifficultto determineiftheseresultscanbegeneralisedtounbundledmarkets Table4 especiallywherecompetitionexistsinwholesaleandretailmarket Demanduncertaintyandpricecapregulationa. segments.However,integrationoftheseissuesintofutureresearch Variables Optimalpricecap Pricecap(knowndemand) wouldrevealmoreevidenceaboutaparticularscheme’sdesirability. Residentialtariff(%D) −27.1126 −15.7037 Commercialtariff(%D) 36.8347 13.2751 Acknowledgments Industrialtariff(%D) 12.2139 4.7144 Totaloutputsold(%D) 6.9719 3.8426 IwishtoexpressmysinceregratitudetoDavidStern,PaulBurke, DWelfare/customer(US$) 14.0206 17.7125 andanonymousrefereesfortheirusefulandinsightfulcomments.I a Pricecap(knowndemand)usesquantityweightsfromthepreviousperiod(2012) wouldalsoliketothanktheparticipantsatthe2015International insteadoftheRamseyquantityweightswhichareusedfortheoptimalpricecap.The Association of Energy Economists (IAAE) Conference in Turkey for changeineachvariableisthedifferencebetweenvaluesattheoriginalpricesandthe newpricescalculatedforeachscheme. theirvaluablefeedbackandcomments. A.Campbell/EnergyEconomics74(2018)802–812 811 AppendixA. Casestudiesofpriceandrevenuecapschemes where pt−1 is the price of electricity at the beginning of the price cap period, CPI is the annual rate of inflation and X is the off- Inthefollowingsection,Iprovidethreecasestudyexamplesof set to inflation (annual real price increase or decrease) result- other countries that have applied cap regulation to their electric- ing from productivity changes in the electricity industry. This itynetworks.Ifocusonissuesrelatedtoprivatization,structureof ‘RPI − X(cid:4) formula was applied to electric utilities in five-year reg- theindustry,andthespecificpartoftheindustrytowhichincentive ulatory periods in which Ofgem specified the maximum rates a schemesareapplied. utility could charge for its services. The UK currently uses the RIIO(Revenue=Incentives+Innovation+Outputs)modelwhichis seenasanextensionofpricecapregulation. A.1. TrinidadandTobago TheTrinidadandTobagoElectricityCommission(T&TEC)isthe A.3. Norway soleretailerofelectricityinTrinidadandTobagoandhasfullrespon- sibilityforthedesign,construction,operation,andmaintenanceof LiketheUK,competitioninNorway’selectricitysectorhasbeen thecountry’selectricaltransmissionanddistributionnetwork,but encouraged through vertical separation. In 2012, installed capac- the ownership structure differs in the sense that T&TEC is wholly itywasapproximately32,283MWwithapproximately35%coming ownedbythegovernmentofTrinidadandTobago(McGuire,2007). from hydro power (US Energy Information Administration, 2016). EventhoughTrinidadandTobago’selectricitysectorwasopened Statnett–Norway’stransmissionsystemoperator,anditsover155 up to competition in 1993 to attract foreign investment, the net- electricitydistributioncompaniesoperateunderarevenuecapintro- workisstillverticallyintegrated.Variouslegislationswereamended duced by the Norwegian Water Resources and Energy Directorate whichallowedT&TECtoformcompanies,holdshares,andoperate (NVE)in1997(NorwegianWaterResourcesandEnergyDirectorate, itsgenerationandtransmissionanddistributionsegmentsindepen- 2014).Itsetsanupperlimitforrevenuesintendedtocoverthenet- dently (Ministry of Energy and Energy Affairs, 2013). The state- work’scostssuchasoperationandmaintenanceofthegrid,andearn ownedT&TECretainsmajorityownershipinPowerGen–thelargest areasonablereturnoncapitalinvested.Theannualcapisbasedon generator, while Trinity Power and Trinidad Generation Unlimited 40%costrecoveryanda60%costnorm.Asimplifiedversionofthe (TGU)areprivatelyowned.Together,allthreeIPPshaveaninstalled revenuecapformulais capacityofapproximately2289 MW.Ofthistotal,PowerGenpro- dTGucUe.s 1344 MW and the rest is produced by Trinity Power and Rt=0.4Ct−2+0.6Ct∗−2 (A.3) The Regulated Industries Commission (RIC) was established in 2001 to supervise the operations of the two generators – Trinity where Rt is the revenue cap in year t and Ct−2 is the two-year lag PowerandPowerGen;andT&TEC.IncentiveregulationinTrinidad on the cost base for each network operator. C∗ is the cost norm t−2 andTobagoisintheformofarevenuecap: foreachnetworkcompanyderivedthroughbenchmarkingwithlocal andregionalutilities,andotherinternationaltransmissionoperators inthecaseofStatnett.Statnett’scostnormisderivedfromthe2012 Rt=Rt−1[1+(CGA×CUST)+(RPI−X)]+Z (A.1) e3GRIDstudywhichanalysedthecostefficiencyof22transmission systemoperatorsinEurope. where Rt−1 is the authorised revenue for time t − 1, RPI is the annualchangeinprices,Xisthereductioninpricesimposedbythe regulator,Zisacostpass-throughvariable,CUSTistheannualchange References inthenumberofcustomers(ortheannualchangeinoutput),and CGAisacustomergrowthfactorwhichcanbeexpressedinpercent- Armstrong,M.,Vickers,J.,2012.Consumerprotectionandcontingentcharges.J.Econ. age terms. In Trinidad and Tobago, this fixed revenue cap regime Lit.50(2),477–493. tookeffectinJune2006andcoveredafive-yearregulatoryperiod Regulator,AustralianEnergy,2013.AERResponsetoProductivityCommissionFur- (RegulatedIndustriesCommission,2006). ther Information Request. Australian Energy Regulator. Retrieved from URL https://www.aer.gov.au/system/files/AER%20response%20to%20Productivity% 20Commission%20further%20information%20request%20-%2022%20February%2- A.2. UnitedKingdom 02013.pdf. Averch,H.,Johnson,L.L.,1962.Behaviorofthefirmunderregulatoryconstraint.Am. Econ.Rev.52(5),1052–1069. Prior to 2010, the United Kingdom pioneered the use of price Bacon, R., Besant-Jones, J., 2001. Global electric power reform, privatization, and capregulationandapplieditforover20yearsafterwide-scalepri- liberalizationoftheelectricpowerindustryindevelopingcountries.Annu.Rev. EnergyEnviron.26(1),331–359. vatization and decoupling of state-owned network utilities in the Banerjee,A.,2003.Doesincentiveregulation‘cause’degradationofretailtelephone late1980sandearly1990s.In1999,theOfficeofGasandElectric- servicequality?Inf.Econ.Policy15(2),243–269. ityMarkets(Ofgem)wasestablishedasthekeyoversightbodyfor Baumol,W.J.,Bradford,D.F.,1970.Optimaldeparturesfrommarginalcostpricing.Am. Econ.Rev.60(3),265–283. theindustryafteramergerbetweentheOfficeofEnergyRegulation Brennan,T.J.,1989.Regulatingbycappingprices.J.Regul.Econ.1(2),133–147. (Offer)andtheOfficeofGasRegulation(Ofgas).Theindustryconsists Campbell,A.,2018.Priceandincomeelasticitiesofelectricitydemand:evidencefrom ofover436generatingfacilitiesandover70electricityretailerswith Jamaica.EnergyEcon.69, 19–32. Chen,Y.,Hobbs,B.F.,Ellis,J.H.,Crowley,C.,Joutz,F.,2015.Impactsofclimatechangeon establishedcompetitioninbothsegments(Mandel,2014).Installed powersectorNOxemissions:along-runanalysisoftheUSmid-Atlanticregion. capacity was estimated at approximately 93,784MW in 2012 (US EnergyPolicy84, 11–21. EnergyInformationAdministration,2016).Thetransmissionsystem Comnes,G.,Stoft,S.,Greene,N.,Hill,L.,1995.Performance-basedRatemakingfor operator–NationalGridCompany(NGC),andthedistributionseg- Electric Utilities: Review of Plans and Analysis of Economic and Resource Planning Issues. Vol. I. Oak Ridge National Laboratory, Oak Ridge, TN, and ment are regulated as natural monopolies and both are subject to UniversityofCalifornia,Berkeley. pricecapregulationunderOfgemoversight.Thepricecapsetsthe Crew,M.A.,Kleindorfer,P.R.,1996a.IncentiveregulationintheUnitedKingdomand maximumbaserevenuetheregulatedbusinessescanearnforeach theUnitedStates:somelessons.J.Regul.Econ.9(3),211–225. Crew,M.A.,Kleindorfer,P.R.,1996b.Pricecapsandrevenuecaps:incentivesanddis- yearoftheregulatoryperiod.Thepricecaptakestheform incentivesforefficiency. In:Crew,M.A.(Ed.),PricingandRegulatoryInnovations UnderIncreasingCompetition. Springer.,pp.39–52. DeVillemeur,E.B.,Cremer,H.,Roy,B.,Toledano,J.,2003.Optimalpricingandprice-cap pt=pt−1(1+RPI−X) (A.2) regulationinthepostalsector.J.Regul.Econ.24(1),49–62.

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