规制经济学在电信定价中的应用

华中科技大学硕士学位论文规制经济学在电信定价中的应用姓名：黄布橹申请学位级别：硕士专业：概率论与数理统计指导教师：万建平20060401I1994LaffontIIAbstractProfessorLaffontandProfessorTirolefoundedtheNewRegulatoryeconomicsbyusingGametheory,informationeconomicsmechanismdesigningtoanalyzeregularoryproblemsThemostnotablecharacteristicofNewRegulatoryeconomicsistoleadtheincentiveproblemintotheanalysisoftheregulatoryproblemsolvetheregulatoryproblemasanoptimalmechanismdesigningproblemThenewtechnologyrevolutionisdeeplychangingthetraditionaltelecommunicationconceptandsystemThetelecommunicationindustryisfacingahithertounknowntransformthepaceofopeningthemarketandleadingintocompetitionisnotablyspeedingupThedegreeoftelecommunicationregulatoryrevolutionisnotablydeepenedThetelecommunicationindustryisnotnaturalmonopolyindustryanylongerHencetheformertheoryresearchandpolicysuggestionbasedonnaturalmonopolysuppositionshouldberevisedThispaperattemptstoanalyzethepricefixingmechanismofthederegulatedandcompetingtelecommunicationindustryItfirstanalyzestwocompetingoperators’gameabouttheaccesspriceusers’callingpriceitloosenstheequilibriumexistenceconditiontheaccesspriceequalsthemarginalaccesscostItprovestheequilibriumwillexistwhentheaccesspriceistendtothemarginalaccesscostandgivestheequilibriumsolutionItthenanalyzestheoperator’sdecisionundertheseveraloperatingkindsinthetelecommunicationmarketwithoutreceivechargetheregulatoryorcontractedreceivechargemarketdecidedreceivechargetheexistenceofpricediscriminationItincludesameaningfulresult:networkbasedpricediscriminationmaybreakdowntheinterconnectionofthenetworksKeywords:EconomicsofinformationNewregulatoryeconomicsGametheoryEquilibriumPriceAccessingpriceCallingpriceReceivingprice_____111.1[1]2070[2]adverseselection,(moralhazard)[3]1.22[4]exante(expost)(adverseselection)(moralhazard)(action)(knowledge)(hiddenaction)(hiddeninformation)(agent)(principal)1(moralhazardwithhiddenaction)2moralhazardwithhiddeninformation33adverseselection4signalingmodel5screeningmodel[5]1participationconstraint2incentivecompatibilityconstraint1.34[6][7]1111[8]11151510105813[9]6[10]1.41.4SCeβ=−(1.1)β0e≥CβettC+()eψ''''''0,0,0ψψψ≥(0)0ψ='(0)0ψ=()Uteψ=−(1.2)00U≥(1.3)1(1)λ+0λ70.3λ≈(1)()WStCUλ=−+++(1)[()]SCeUλψλ=−++−(1.4)S()Ceψ+10U=()teψ=min[()]eeeβψ−+'*()1eψ=β()tCCα=−*e()Ceψ+α**()()eeαβψ=−+β[,]ββ−−()Fβ()fβ/fF8()tC{(),()(),()[()][()]}eCeUtCCββββββψββ=−=−−β[()]EWβ[]Eiβ()0Uβ≥β(1.5)()tCeCeβ=−()max{()()}cUtCCβψβ=−−(1.6)'[()]dUedψββ=−(1.7)(1.7)(1.6)(1.5)β−()0Uβ−≥'(1.5)'(1.5)(1.7)β()eββ{(),()}max[()]((1){()[()]}())()eUEWSCeUfdβββλβψβλβββ−−=−++−∫ii'(1.5)(1.7)β'''1()[()]1[()]1()Feefβψβψβλβ=−+(1.8)*()eeβ−=()eβ9(1.8)()tC[,]dβββ−()eβ()fdββ'1[()]eψβ−1dββ−''[()]edψββ(1.7)[,]dβββ−−()Fβ'''(1){1[()]}()()[()]efdFedλψβββλβψββ+−=(1.8)CRR()tCCRR()()Ceβββ=−(1.2)'(1.5)(1.7)'()[()]()[()][()]teUeexdxβββψββψβψ−=+=+∫βCRR()tCCRR'0t''0tCRR()tCCRR[11]()tbbCα=−αbβ'()[()]beβψβ=(1.9)10()eβ(1.8)βb(1.8)(1.9)β−1b=1b(1.8)(1.9)CRRβCeβε=−+ε0ε1.5[12]61161101players122(actions)13(information)2124(strategies)222211212125(payoffs)6610011026(outcome)1267(equilibrium)[13][14]1212122161021210121266166**12(,)aa******112112212212(,)(,),(,)(,)UaaUaaUaaUaa≥≥12,aa12,UU[15]1322.1PCS2020ADSLMANCAP7SS7780014900[16]2070MCISprintAT&T[17]CAP80CAPLECCAP50POPCATVCAPLAN15NYNEX440PacificTelesisSBC430AT&TMcCawBOCCAPWorldcomMFS230MFS50[18]SprintAT&TBT162.217[19]AT&T1984AT&T7RBOC80AT&TMCISprint1833.1Ramsey-Boiteux0[20]MarcelBoiteux1956FrankRamsey1927RamseyRamsey19RamseyRamseyRamsey-Boiteux1Ramsey-BoiteuxRamsey-BoiteuxRamsey-Boiteux[21]kkpkqkηkck[/]/[/]kkkkkdqdpqpη=−20n1,,kn=⋅⋅⋅1(,,)nqqq=⋅⋅⋅1(,,)nppp=⋅⋅⋅1(,,)kknqDpp=⋅⋅⋅[/]/[/]kkkkkDpDpη=−∂∂kkqkp[/]/[/]kkkkkdDdpDpη=−1()nkkkRqpq==∑1(,,)nCqq⋅⋅⋅0k1,,ncc⋅⋅⋅101(,,)nnkkCqqkcq=⋅⋅⋅=+∑()SqkkSpq∂=∂Ramsey-Boiteuxmax{()()}qSqCq−()()0RqCq−≥Ramsey-Boiteuxmax{()()}qRqCq−**()()()()SqCqSqCq−≥−Ramsey-Boiteux1/λkq1()0njkkjkkjkppcqpcqλ=∂−++−=∂∑11kkkkpcpλλη−=+kklkl21kRamsey-BoiteuxRamsey-BoiteuxRamseyBoiteux[22]Ramsey-BoiteuxRamsey-BoiteuxRamsey-Boiteux3.2Ramsey-Boiteux[23]1(,,)nxxx=⋅⋅⋅[24][25]221nkkkxpp−=≤∑max{()()}qRqCq−νkq110nnjjkkjjjjkkpppcqxqqν==∂∂−+−=∂∂∑∑xq(1/)1λν≡−Ramsey-Boiteuxk1,,kn=⋅⋅⋅kkxk[26]Ramsey-Boiteuxp−0kcq()Vqθθ()Tq()qθ()[()][()]UVqTqθθθθ=−θ()Gθ[,]θθ−−()gθ()/[1()]gGθθ−(1)λ+0{[()][()]}()(1){()[()]}()VqTqdGcqkTqdGθθθθθθθθλθθθ−−−−−−++−∫∫()[()][()]UVqTqθθθθ≡−230max((1){[()]()}())()VqcqkUdGθθλθθθλθθ−−+−−−∫()[()]UVqθθ=i()0qθ≥i(3.1)()0Uθ≥θ(3.2)(3.1)(3.2)'()()()qpTqθθ==()1()()1()pqcGpqgλθλθθ−−=+q()pqq*()1[()]qqDpGpθ≡−*()qpθ*'*()[()]qqqpVppθθ=0()()qxqpqdqπ−≤∫q−*0[()]{1[()]}qqpqcGpdqθ−−−∫***1[()][()][()]()qqqdGppqcgpxqdpθθθµ−−−=24***1[()]()()[()]qqqGpxqpqcdgpdpθµθθ−−−=**qqddppθθ=()1[()](){1}()()[()]1[()]pqcGpxqpqqgpGpθµθθθ−−=−−π1/(1)µλ=+()1[()]xqGqθ=−[27]01121[,],[,],,[,]nnqqqqqq−⋅⋅⋅0,nqqqq−−≡≡[,]qq−−q()Tq0p0q11010[()()]/[]pTqTqqq=−−10qq−22121[()()]/[]pTqTqqq=−−21qq−0nkkkxpp−=≤∑kNkq1()kkkkxNqq−=−[28]125Ramsey-Boiteux23456726Ramsey8Ramsey3.327Ramsey2844.1[29][30][31]Laffont[32]4.2i=12[33]1a[34]229f0c1c012ccc=+01cc+a010ccacac++=+−jαjijαi0()jcacα+−ipii()iiqDp=η11()11quqηη−=−'()uqpqpη−=⇔={}(1)()max()1qpVpuqpqηη