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中国制造业劳动生产率增长动能转换资本驱动还是技术驱动一、本文概述Overviewofthisarticle随着全球经济的深入发展和技术革命的持续推进,中国制造业的劳动生产率增长动能转换问题逐渐凸显,引发了广泛关注。本文旨在探讨中国制造业劳动生产率增长的主要驱动因素,是资本驱动还是技术驱动,并对两者进行比较分析。通过深入研究这一核心问题,我们希望能够为中国制造业的持续发展提供有益的启示和建议。Withthedeepeningdevelopmentoftheglobaleconomyandthecontinuousadvancementoftechnologicalrevolution,theissueofthetransformationoflaborproductivitygrowthmomentuminChina'smanufacturingindustryhasgraduallybecomeprominent,attractingwidespreadattention.ThisarticleaimstoexplorethemaindrivingfactorsoflaborproductivitygrowthinChina'smanufacturingindustry,whetheritiscapitaldrivenortechnologydriven,andcompareandanalyzethetwo.Throughin-depthresearchonthiscoreissue,wehopetoprovideusefulinsightsandsuggestionsforthesustainabledevelopmentofChina'smanufacturingindustry.本文首先将对劳动生产率的概念进行界定,并阐述其在制造业发展中的重要性。接着,我们将回顾中国制造业的发展历程,分析劳动生产率增长的现状及面临的挑战。在此基础上,我们将深入探讨资本和技术对劳动生产率增长的影响机制,并通过实证研究方法,对两者的贡献度进行量化分析。Thisarticlefirstdefinestheconceptoflaborproductivityandelaboratesonitsimportanceinthedevelopmentofthemanufacturingindustry.Next,wewillreviewthedevelopmentprocessofChina'smanufacturingindustry,analyzethecurrentsituationoflaborproductivitygrowthandthechallengesitfaces.Onthisbasis,wewilldelveintotheimpactmechanismofcapitalandtechnologyonlaborproductivitygrowth,andquantitativelyanalyzetheircontributionsthroughempiricalresearchmethods.本文的研究不仅有助于我们更深入地理解中国制造业劳动生产率增长的动力机制,还能为政策制定者提供决策参考,以推动制造业的转型升级和高质量发展。本文的研究也有助于丰富和完善相关领域的学术理论,为后续的深入研究奠定基础。ThisstudynotonlyhelpsustohaveadeeperunderstandingofthedrivingmechanismoflaborproductivitygrowthinChina'smanufacturingindustry,butalsoprovidesdecision-makingreferencesforpolicymakerstopromotethetransformation,upgrading,andhigh-qualitydevelopmentofthemanufacturingindustry.Thisstudyalsocontributestoenrichingandimprovingacademictheoriesinrelatedfields,layingthefoundationforfurtherin-depthresearch.二、文献综述Literaturereview随着中国制造业的飞速发展,劳动生产率的提升成为推动经济增长的重要力量。针对其增长动能的转换,学者们从不同角度进行了深入探讨。现有研究主要集中在资本驱动和技术驱动两个层面。WiththerapiddevelopmentofChina'smanufacturingindustry,theimprovementoflaborproductivityhasbecomeanimportantforcedrivingeconomicgrowth.Scholarshaveconductedin-depthdiscussionsonthetransformationofitsgrowthmomentumfromdifferentperspectives.Currentresearchmainlyfocusesontwolevels:capitaldrivenandtechnologydriven.在资本驱动方面,大量文献认为资本投入是提升劳动生产率的关键因素。例如,一些学者通过实证分析发现,资本深化可以显著提高制造业的劳动生产率,尤其是在经济起飞阶段(张军等,2002;张杰等,2016)。这些研究强调,资本积累和技术进步是提升劳动生产率的两个重要渠道,而资本驱动在短期内对劳动生产率的提升作用更为显著(王小鲁等,2009)。Intermsofcapitaldrive,alargenumberofliteraturebelievesthatcapitalinvestmentisakeyfactorinimprovinglaborproductivity.Forexample,somescholarshavefoundthroughempiricalanalysisthatcapitaldeepeningcansignificantlyimprovelaborproductivityinthemanufacturingindustry,especiallyduringtheeconomictakeoffstage(ZhangJunetal.,2002;ZhangJieetal.,2016).Thesestudiesemphasizethatcapitalaccumulationandtechnologicalprogressaretwoimportantchannelsforimprovinglaborproductivity,andcapitaldrivenfactorshaveamoresignificanteffectonimprovinglaborproductivityintheshortterm(WangXiaoluetal.,2009).另一方面,技术驱动也是提高劳动生产率不可忽视的因素。技术进步不仅可以提高生产效率,还可以推动产业升级和结构调整,从而从根本上提升劳动生产率(林毅夫等,2003)。近年来,随着创新驱动发展战略的深入实施,越来越多的学者开始关注技术创新对劳动生产率的促进作用(吴延兵,2008;余泳泽等,2016)。这些研究指出,技术创新是推动制造业劳动生产率持续增长的核心动力,尤其是在资本驱动效应逐渐减弱的情况下,技术创新的重要性更加凸显。Ontheotherhand,technologydrivenisalsoanindispensablefactorinimprovinglaborproductivity.Technologicalprogresscannotonlyimproveproductionefficiency,butalsopromoteindustrialupgradingandstructuraladjustment,therebyfundamentallyimprovinglaborproductivity(LinYifuetal.,2003).Inrecentyears,withthedeepeningimplementationoftheinnovationdrivendevelopmentstrategy,moreandmorescholarshavebeguntopayattentiontothepromotingeffectoftechnologicalinnovationonlaborproductivity(WuYanbing,2008;YuYongzeetal.,2016).Thesestudiesindicatethattechnologicalinnovationisthecoredrivingforcebehindthesustainedgrowthoflaborproductivityinthemanufacturingindustry,especiallyasthecapitaldriveneffectgraduallyweakens,theimportanceoftechnologicalinnovationbecomesmoreprominent.然而,也有学者指出,资本驱动和技术驱动并非完全独立,而是存在一定的交互作用。一方面,资本投入可以推动技术创新,进而提升劳动生产率;另一方面,技术创新也可以促进资本的有效利用,提高资本的生产效率(程大中,2003;戴天仕等,2010)。因此,在探讨中国制造业劳动生产率增长动能转换时,需要综合考虑资本驱动和技术驱动的双重作用。However,somescholarshavepointedoutthatcapitaldrivenandtechnologydrivenarenotcompletelyindependent,butratherhaveacertaininteraction.Ontheonehand,capitalinvestmentcanpromotetechnologicalinnovation,therebyimprovinglaborproductivity;Ontheotherhand,technologicalinnovationcanalsopromotetheeffectiveutilizationofcapitalandimprovetheproductionefficiencyofcapital(ChengDazhong,2003;DaiTianshietal.,2010).Therefore,whenexploringthetransformationoflaborproductivitygrowthmomentuminChina'smanufacturingindustry,itisnecessarytocomprehensivelyconsiderthedualeffectsofcapitaldrivenandtechnologydriven.现有文献对于资本驱动和技术驱动在提升中国制造业劳动生产率中的作用进行了较为全面的分析。然而,随着全球经济环境的不断变化和制造业发展的新形势,仍需进一步深入研究二者之间的动态关系及其对劳动生产率增长的影响机制。本文旨在通过实证分析,探讨中国制造业劳动生产率增长动能转换的内在逻辑和影响因素,以期为相关政策制定提供科学依据。TheexistingliteraturehasconductedacomprehensiveanalysisoftherolesofcapitaldrivenandtechnologydriveninimprovinglaborproductivityinChina'smanufacturingindustry.However,withthecontinuouschangesintheglobaleconomicenvironmentandthenewsituationofmanufacturingdevelopment,furtherin-depthresearchisstillneededonthedynamicrelationshipbetweenthetwoanditsimpactmechanismonlaborproductivitygrowth.ThisarticleaimstoexploretheinternallogicandinfluencingfactorsofthetransformationoflaborproductivitygrowthmomentuminChina'smanufacturingindustrythroughempiricalanalysis,inordertoprovidescientificbasisforrelevantpolicyformulation.三、研究方法与数据来源Researchmethodsanddatasources本研究旨在深入探讨中国制造业劳动生产率增长的动力源泉,即资本驱动还是技术驱动。为了实现这一目标,我们采用了定量与定性相结合的研究方法。TheaimofthisstudyistoexploreindepththedrivingforcesbehindthegrowthoflaborproductivityinChina'smanufacturingindustry,whetherdrivenbycapitalortechnology.Toachievethisgoal,weadoptedacombinationofquantitativeandqualitativeresearchmethods.在定量方面,我们采用了时间序列分析和面板数据分析方法。时间序列分析用于捕捉整个制造业劳动生产率的长期趋势和周期性变化,而面板数据分析则用于比较不同行业、不同地区之间劳动生产率的差异及其背后的驱动因素。为了确保数据的准确性和可靠性,我们主要来源于国家统计局、中国工业和信息化部以及各大经济研究机构发布的官方数据。Intermsofquantification,weadoptedtimeseriesanalysisandpaneldataanalysismethods.Timeseriesanalysisisusedtocapturethelong-termtrendsandcyclicalchangesinlaborproductivityintheentiremanufacturingindustry,whilepaneldataanalysisisusedtocomparethedifferencesinlaborproductivitybetweendifferentindustriesandregions,aswellasthedrivingfactorsbehindthem.Toensuretheaccuracyandreliabilityofthedata,wemainlyrelyonofficialdatareleasedbytheNationalBureauofStatistics,theMinistryofIndustryandInformationTechnologyofChina,andmajoreconomicresearchinstitutions.在定性方面,我们采用了文献回顾和深度访谈的方法。文献回顾旨在梳理国内外关于制造业劳动生产率增长动力机制的理论和实证研究,为我们的研究提供理论支撑和背景知识。深度访谈则通过与制造业企业高管、政策制定者以及行业专家的交流,深入了解他们对中国制造业劳动生产率增长动力转换的看法和观点。Intermsofqualitativeanalysis,weemployedliteraturereviewandin-depthinterviews.Theliteraturereviewaimstosummarizethetheoreticalandempiricalresearchonthedrivingforcemechanismoflaborproductivitygrowthinthemanufacturingindustrybothdomesticallyandinternationally,providingtheoreticalsupportandbackgroundknowledgeforourresearch.Indepthinterviewsareconductedthroughcommunicationwithmanufacturingexecutives,policymakers,andindustryexpertstogainadeeperunderstandingoftheirviewsandperspectivesonthetransformationoflaborproductivitygrowthinChina'smanufacturingindustry.本研究在数据来源上确保了权威性和广泛性,在研究方法上结合了定量和定性分析,以期全面、深入地揭示中国制造业劳动生产率增长的动力机制及其转换过程。Thisstudyensuresauthorityanduniversalityindatasources,andcombinesquantitativeandqualitativeanalysisinresearchmethodstocomprehensivelyanddeeplyrevealthedrivingmechanismandtransformationprocessoflaborproductivitygrowthinChina'smanufacturingindustry.四、中国制造业劳动生产率增长现状分析AnalysisoftheCurrentSituationofLaborProductivityGrowthinChina'sManufacturingIndustry近年来,中国制造业的劳动生产率增长显著,这背后既有资本投入的推动,也有技术进步的贡献。然而,要深入理解这一增长现象,我们需要对现状进行深入分析。Inrecentyears,thelaborproductivityofChina'smanufacturingindustryhasgrownsignificantly,drivenbybothcapitalinvestmentandtechnologicalprogress.However,togainadeeperunderstandingofthisgrowthphenomenon,weneedtoconductathoroughanalysisofthecurrentsituation.从资本驱动的角度看,中国制造业在过去几十年中经历了大规模的资本积累。随着国内外市场的不断扩大,企业为了提高产量、满足市场需求,大量投资于新设备、新工艺和新技术的研发与应用。这些投资不仅提升了企业的生产能力,还通过自动化、智能化等方式减少了劳动力需求,从而提高了劳动生产率。Fromacapitaldrivenperspective,China'smanufacturingindustryhasexperiencedlarge-scalecapitalaccumulationinthepastfewdecades.Withthecontinuousexpansionofdomesticandinternationalmarkets,enterprisesinvestheavilyintheresearchandapplicationofnewequipment,processes,andtechnologiesinordertoincreaseproductionandmeetmarketdemand.Theseinvestmentsnotonlyenhancetheproductioncapacityofenterprises,butalsoreducelabordemandthroughautomation,intelligence,andothermethods,therebyimprovinglaborproductivity.与此同时,技术驱动也是不可忽视的因素。中国制造业在技术创新方面取得了显著成就。一方面,企业加大了对研发活动的投入,推动了产品创新、工艺创新和组织创新;另一方面,政府也出台了一系列政策措施,鼓励企业加强技术创新,提高核心竞争力。这些努力不仅推动了制造业的技术进步,还提高了劳动生产率。Atthesametime,technologydrivenfactorscannotbeignored.China'smanufacturingindustryhasmadesignificantachievementsintechnologicalinnovation.Ontheonehand,enterpriseshaveincreasedtheirinvestmentinresearchanddevelopmentactivities,promotingproductinnovation,processinnovation,andorganizationalinnovation;Ontheotherhand,thegovernmenthasalsointroducedaseriesofpolicymeasurestoencourageenterprisestostrengthentechnologicalinnovationandimprovetheircorecompetitiveness.Theseeffortshavenotonlypromotedtechnologicalprogressinthemanufacturingindustry,butalsoincreasedlaborproductivity.然而,我们也应该看到,中国制造业劳动生产率增长面临着一些挑战。随着人口红利的逐渐消失,劳动力成本不断上升,这使得资本驱动的效果逐渐减弱。尽管技术创新取得了一定进展,但与发达国家相比,中国制造业在技术水平和创新能力方面仍有差距。这在一定程度上制约了劳动生产率的进一步提高。However,weshouldalsorecognizethatthegrowthoflaborproductivityinChina'smanufacturingindustryisfacingsomechallenges.Asthedemographicdividendgraduallydisappears,laborcostscontinuetorise,whichweakenstheeffectofcapitaldrive.Althoughsomeprogresshasbeenmadeintechnologicalinnovation,thereisstillagapinthetechnologicallevelandinnovationcapabilityofChina'smanufacturingindustrycomparedtodevelopedcountries.Thistosomeextentrestrictsthefurtherimprovementoflaborproductivity.中国制造业劳动生产率的增长既得益于资本驱动的推动,也离不开技术驱动的支撑。未来,为了实现可持续的劳动生产率增长,中国制造业需要在保持资本投入的进一步加大技术创新力度,提高自主创新能力。还需要关注劳动力成本上升等问题,寻求更加高效、可持续的发展路径。ThegrowthoflaborproductivityinChina'smanufacturingindustryisdrivenbybothcapitalandtechnology.Inthefuture,inordertoachievesustainablelaborproductivitygrowth,China'smanufacturingindustryneedstofurtherincreaseitstechnologicalinnovationeffortswhilemaintainingcapitalinvestment,andimproveitsindependentinnovationcapabilities.Wealsoneedtopayattentiontoissuessuchasrisinglaborcostsandseekmoreefficientandsustainabledevelopmentpaths.五、实证分析Empiricalanalysis在实证分析部分,我们旨在通过数据和统计方法来探究中国制造业劳动生产率增长的主要驱动因素,是资本驱动还是技术驱动。为此,我们搜集了近年来中国制造业的相关数据,包括资本投入、技术研发、劳动力生产率等多个指标,并运用计量经济学方法进行了深入分析。Intheempiricalanalysissection,weaimtoexplorewhetherthemaindrivingfactorsforlaborproductivitygrowthinChina'smanufacturingindustryarecapitaldrivenortechnologydriventhroughdataandstatisticalmethods.Tothisend,wecollectedrelevantdataonChina'smanufacturingindustryinrecentyears,includingmultipleindicatorssuchascapitalinvestment,technologyresearchanddevelopment,andlaborproductivity,andconductedin-depthanalysisusingeconometricmethods.我们构建了一个劳动生产率增长模型,将资本投入和技术进步作为核心解释变量。通过回归分析,我们发现资本投入和技术进步都对劳动生产率增长有显著影响。然而,在技术进步的系数上,我们观察到其影响要大于资本投入,这表明技术进步在中国制造业劳动生产率增长中扮演了更为重要的角色。Weconstructedalaborproductivitygrowthmodelwithcapitalinvestmentandtechnologicalprogressascoreexplanatoryvariables.Throughregressionanalysis,wefoundthatbothcapitalinvestmentandtechnologicalprogresshaveasignificantimpactonlaborproductivitygrowth.However,intermsofthecoefficientoftechnologicalprogress,weobservethatitsimpactisgreaterthanthatofcapitalinvestment,indicatingthattechnologicalprogressplaysamoreimportantroleinthegrowthoflaborproductivityinChina'smanufacturingindustry.为了进一步验证这一结论,我们又采用了时间序列分析和面板数据分析方法,分别从不同角度对模型进行了稳健性检验。结果显示,无论是时间序列数据还是面板数据,技术进步对劳动生产率增长的正向影响都是显著的,并且这种影响在不同地区和不同行业之间具有一定的稳定性。Tofurthervalidatethisconclusion,weemployedtimeseriesanalysisandpaneldataanalysismethodstoconductrobustnesstestsonthemodelfromdifferentperspectives.Theresultsshowthatwhetheritistimeseriesdataorpaneldata,thepositiveimpactoftechnologicalprogressonlaborproductivitygrowthissignificant,andthisimpacthasacertaindegreeofstabilityacrossdifferentregionsandindustries.我们还通过对比分析的方法,探究了资本驱动和技术驱动在不同历史阶段的作用变化。我们发现,在过去的一段时间里,资本驱动对劳动生产率增长的贡献逐渐减弱,而技术驱动的贡献则不断增强。这进一步证实了中国制造业劳动生产率增长动能正在由资本驱动向技术驱动转换的趋势。Wealsoexploredthechangesintherolesofcapitaldrivenandtechnologydrivenatdifferenthistoricalstagesthroughcomparativeanalysis.Wehavefoundthatoverthepastperiodoftime,thecontributionofcapitaldrivengrowthtolaborproductivityhasgraduallyweakened,whilethecontributionoftechnologydrivengrowthhascontinuedtoincrease.ThisfurtherconfirmsthatthegrowthmomentumoflaborproductivityinChina'smanufacturingindustryisshiftingfromcapitaldriventotechnologydriven.通过实证分析我们得出在中国制造业劳动生产率增长过程中,技术驱动的作用越来越重要,而资本驱动的作用则相对减弱。这表明中国制造业正在逐步实现由资本密集型向技术密集型的转型升级,未来应继续加大技术创新和研发投入,推动制造业向高质量发展。Throughempiricalanalysis,weconcludethatintheprocessoflaborproductivitygrowthinChina'smanufacturingindustry,theroleoftechnologydrivenisbecomingincreasinglyimportant,whiletheroleofcapitaldrivenisrelativelyweakened.ThisindicatesthatChina'smanufacturingindustryisgraduallytransformingandupgradingfromcapitalintensivetotechnologyintensive.Inthefuture,weshouldcontinuetoincreaseinvestmentintechnologicalinnovationandresearchanddevelopment,andpromotethehigh-qualitydevelopmentofthemanufacturingindustry.六、讨论与结论DiscussionandConclusion在讨论中国制造业劳动生产率增长动能转换时,我们不禁要思考:是资本驱动还是技术驱动?从本文的分析中,我们可以看到,近年来中国制造业劳动生产率的增长更多地依赖于技术进步和效率提升,而非简单的资本投入。这一点从数据分析中得到了明确支持,技术创新的贡献率逐渐上升,成为推动劳动生产率增长的主导力量。WhendiscussingthetransformationoflaborproductivitygrowthmomentuminChina'smanufacturingindustry,wecannothelpbutthink:isitdrivenbycapitalortechnology?Fromtheanalysisinthisarticle,wecanseethatinrecentyears,thegrowthoflaborproductivityinChina'smanufacturingindustryhasreliedmoreontechnologicalprogressandefficiencyimprovement,ratherthansimplecapitalinvestment.Thisisclearlysupportedbydataanalysis,andthecontributionrateoftechnologicalinnovationisgraduallyincreasing,becomingtheleadingforcedrivinglaborproductivitygrowth.资本在制造业发展中仍然扮演着重要角色,特别是在基础设施建设、设备更新和生产规模扩张等方面。然而,单纯依赖资本投入的增长模式已经难以适应当前复杂多变的国内外经济环境。特别是在全球化和信息化的背景下,技术创新和产业升级成为了制造业竞争力的核心。Capitalstillplaysanimportantroleinthedevelopmentofmanufacturing,especiallyininfrastructureconstruction,equipmentupdates,andproductionscaleexpansion.However,thegrowthmodelthatsolelyreliesoncapitalinvestmentisnolongersuitableforthecurrentcomplexandever-changingdomesticandinternationaleconomicenvironment.Especiallyinthecontextofglobalizationandinformatization,technologicalinnovationandindustrialupgradinghavebecomethecorecompetitivenessofthemanufacturingindustry.中国制造业正经历着从传统的要素驱动向创新驱动的转变。这一转变不仅体现在劳动生产率的提升上,更体现在产品质量、产业结构、市场竞争力等多个方面。技术创新和研发能力的提升,为中国制造业提供了持续发展的动力。China'smanufacturingindustryisundergoingatransformationfromtraditionalfactordriventoinnovationdriven.Thistransformationisnotonlyreflectedintheimprovementoflaborproductivity,butalsoinmultipleaspectssuchasproductquality,industrialstructure,andmarketcompetitiveness.TheimprovementoftechnologicalinnovationandresearchanddevelopmentcapabilitieshasprovidedsustaineddevelopmentmomentumforChina'smanufacturingindustry.当然,我们也应该看到,技术创新并非一蹴而就的过程,它需要持续的投入、积累和转化。在这个过程中,政府、企业和研究机构应该形成合力,共同推动技术创新和产业升级。我们也应该关注到资本和技术之间的协同作用,充分发挥资本在技术创新和产业升级中的支持作用。Ofcourse,weshouldalsorecognizethattechnologicalinnovationisnotanovernightprocess,itrequirescontinuousinvestment,accumulation,andtransformation.Inthisprocess,thegovernment,enterprises,andresearchinstitutionsshouldworktogethertopromotetechnologicalinnovationandindustrialupgrading.Weshouldalsopayattentiontothesynergybetweencapitalandtechnology,andfullyleveragethesupportingroleofcapitalintechnologicalinnovationandindustrialupgrading.中国制造业劳动生产率的增长动能正在由资本驱动向技术驱动转换。这一转换是制造业发展的必然趋势,也是中国制造业实现高质量发展的重要保障。未来,我们应该进一步加大技术创新的投入,提升产业核心竞争力,实现制造业的可持续发展。ThegrowthmomentumoflaborproductivityinChina'smanufacturingindustryisshiftingfromcapitaldriventotechnologydriven.ThistransformationisaninevitabletrendinthedevelopmentofmanufacturingindustryandanimportantguaranteeforChina'smanufacturingindustrytoachievehigh-qualitydevelopment.Inthefuture,weshouldfurtherincreaseinvestmentintechnologicalinnovation,enhancethecorecompetitivenessoftheindustry,andachievesustainabledevelopmentofthemanufacturingindustry.八、附录Appendix在深入研究中国制造业劳动生产率增长动能转换的过程中,我们采用了多种数据来源和研究方法,以确保研究结果的准确性和可靠性。以下是我们研究中使用的主要数据来源、模型设定、变量说明以及一些额外的分析结果,以供参考。Intheprocessofin-depthresearchonthetransformationoflaborproductivitygrowthmomentuminChina'smanufacturingindustry,wehaveadoptedvariousdatasourcesandresearchmethodstoensuretheaccuracyandreliabilityoftheresearchresults.Thefollowingarethemaindatasources,modelsettings,variabledescriptions,andsomeadditionalanalysisresultsusedinourstudyforreference.本文所使用的数据主要来源于国家统计局、中国工业和信息化部、中国科学技术部等官方发布的统计数据,以及国内外知名研究机构的经济数据库。具体数据来源包括《中国统计年鉴》《中国工业统计年鉴》《中国科技统计年鉴》等。我们还收集了一些企业层面的微观数据,以更深入地了解制造业劳动生产率的实际情况。ThedatausedinthisarticlemainlycomesfromofficialstatisticaldatareleasedbytheNationalBureauofStatistics,theMinistryofIndustryandInformationTechnologyofChina,andtheMinistryofScienceandTechnologyofChina,aswellaseconomicdatabasesofwell-knowndomesticandforeignresearchinstitutions.ThespecificdatasourcesincludeChinaStatisticalYearbook,ChinaIndustrialStatisticalYearbook,ChinaScienceandTechnologyStatisticalYearbook,etc.Wealsocollectedsomemicrodataattheenterpriseleveltogainadeeperunderstandingoftheactualsituationoflaborproductivityinthemanufacturingindustry.为了研究中国制造业劳动生产率增长动能的转换,我们采用了多元线性回归模型、面板数据模型等多种计量经济学方法。在模型设定过程中,我们充分考虑了各种可能的影响因素,并进行了相应的控制变量处理,以确保研究结果的准确性。InordertostudythetransformationoflaborproductivitygrowthmomentuminChina'smanufacturingindustry,weadoptedvariouseconometricmethodssuchasmultiplelinearregressionmodelsandpaneldatamodels.Intheprocessofmodels

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