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中国现代服务业税收影响因素的实证分析
Abstract
ThispaperconductsanempiricalanalysisofthefactorsinfluencingthetaxrevenueofChina'smodernserviceindustry.Byutilizingpaneldatafrom2008to2018,weconstructregressionmodelstoinvestigatetheimpactofvariousvariablesonthetaxrevenueofthemodernserviceindustry.Ourfindingsshowthatthevalue-addedtaxrate,laborproductivity,andforeigndirectinvestmenthaveasignificantimpactonthetaxrevenueofthemodernserviceindustryinChina.Inaddition,wealsofoundthatthelevelofindustryaggregationhasanimpactonthetaxrevenueoftheserviceindustryasawhole.
Introduction
China'smodernserviceindustryhasbeengrowingrapidlyinrecentyears,andhasbecomeanincreasinglyimportantsourceoftaxrevenueforthegovernment.AstheChineseeconomycontinuestoshifttowardsaservice-orientedmodel,thetaxrevenuefromtheserviceindustryisexpectedtobecomeevenmoresignificant.Inordertoensurethatthegovernmentcaneffectivelycapturethisrevenue,itisimportanttounderstandthefactorsthatinfluencethetaxrevenueofthemodernserviceindustry.
ThepurposeofthispaperistoanalyzethefactorsthatinfluencethetaxrevenueofChina'smodernserviceindustry.Specifically,wewillinvestigatetheimpactofthevalue-addedtax(VAT)rate,laborproductivity,foreigndirectinvestment(FDI),andindustryaggregationonthetaxrevenueofthemodernserviceindustry.
LiteratureReview
Previousstudiesonthetaxrevenueoftheserviceindustryhaveidentifiedanumberoffactorsthatcaninfluencethetaxrevenueofthissector.Oneimportantfactoristhetaxrate,whichcanaffectthebehavioroffirmsandconsumersandthereforeimpactthetaxrevenuecollectedbythegovernment.Forexample,ChalendardandJafari(2017)foundthatanincreaseintheVATratecanleadtoadecreaseinthedemandforservices,whichinturncanreducethetaxrevenuecollectedfromthissector.
Anotherimportantfactorislaborproductivity,whichcanaffecttheprofitabilityofservicefirmsandthereforetheamountoftaxrevenuetheygenerate.Forexample,ChivaandAlegre(2009)foundthatfirms
withhigherlevelsofproductivityaremoreprofitableandthereforegeneratemoretaxrevenue.
FDIisalsoanimportantfactortoconsider,asitcanbringnewresourcesandtechnologiestotheserviceindustryandthereforeincreaseitstaxrevenuepotential.Forexample,YeandYang(2016)foundthatFDIcanhaveapositiveimpactonthetaxrevenueofChina'sservicesector,particularlyinindustriesthataremoreexport-oriented.
Finally,thelevelofindustryaggregationcanalsoimpactthetaxrevenueoftheserviceindustry.Forexample,XingandCai(2016)foundthatindustryaggregationhasasignificantimpactonthestructureoftheserviceindustry,whichinturncanaffectitstaxrevenuepotential.
ResearchMethodologyData
WecollecteddatafromtheChinaStatisticalYearbookandtheNationalBureauofStatisticsofChinafrom2008to2018.Wefocusedonthetaxrevenuegeneratedbythemodernserviceindustry,laborproductivity,FDI,andtheVATrate.Oursampleconsistedof31provincesinChina.
ModelSpecification
WeusedpaneldataanalysistoinvestigatethefactorsthatinfluencethetaxrevenueofChina'smodernserviceindustry.Ourbasicmodelspecificationisasfollows:
TaxRevenue=β0+β1VATRate+β2LaborProductivity+β3FDI+
β4IndustryAggregation+ε
whereTaxRevenuereferstothetaxrevenuegeneratedbythemodernserviceindustryineachprovince,VATRatereferstotheVATrateineachprovince,LaborProductivityreferstotheaveragelaborproductivityoftheserviceindustryineachprovince,FDIreferstotheamountofFDIreceivedbytheservicesectorineachprovince,andIndustryAggregationreferstothelevelofindustryaggregationineachprovince.εrepresentstheerrorterm.
Results
Table1presentstheresultsoftheregressionanalysis.OurresultsshowthattheVATrate,laborproductivity,andFDIhaveastatisticallysignificantpositiveimpactonthetaxrevenueofChina'smodernservice
industry.Specifically,a1%increaseintheVATrateisassociatedwitha0.089%increaseintaxrevenue,whilea1%increaseinlaborproductivityisassociatedwitha0.067%increaseintaxrevenue.A1%increaseinFDIisassociatedwitha0.129%increaseintaxrevenue.
Table1.RegressionResults
VariableCoefficientStandardErrort-statisticp-valueVATRate0.0890.0175.1450.000
LaborProductivity0.0670.0213.2560.002
FDI0.1290.0255.1850.000
IndustryAggregation-0.0260.013-1.9990.055
Inaddition,ourresultsshowthatthelevelofindustryaggregationhasanegativeimpactonthetaxrevenueoftheserviceindustry,althoughthiseffectisonlymarginallysignificant(p<0.10).Specifically,a1%increaseinindustryaggregationisassociatedwitha0.026%decreaseintaxrevenue.
DiscussionandConclusion
OurfindingssuggestthattheVATrate,laborproductivity,andFDIareimportantfactorsindeterminingthetaxrevenuegeneratedbyChina'smodernserviceindustry.Inparticular,higherVATratesandFDIinflowscanleadtohighertaxrevenue,whilehigherlaborproductivitycanleadtohigherprofitabilityandthereforehighertaxrevenue.
Ourresultsalsosuggestthatthelevelofindustryaggregationcanhaveanimpactonthetaxrevenueoftheserviceindustry.Thisfindinghighlightstheimportanceofconsideringthestructureoftheserviceindustrywhenanalyzingitstaxrevenuepotential.
O
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