文档名：人工智能对能源强度的影响评估
摘要：在工业4.0时代,工业机器人的应用在促进经济发展、优化社会分工和提高劳动生产率等方面展现出重要作用.能源和环境问题日益严峻,并且人工智能的发展需要消耗大量的能源,探究不同经济体工业机器人的应用对能源强度的影响具有重要意义.根据2006—2019年全球35个国家的工业机器人库存数据,运用双向固定效应模型(FE)和随机效应模型(RE)、逐步回归法等实证方法,考察工业机器人对能源强度的影响.结果表明:工业机器人的应用和能源强度间存在显著的"倒U型"关系,即当工业机器人的应用尚未超过临界值时,对降低能源强度具有抑制作用;当工业机器人的应用超过特定临界值时,工业机器人的应用才会对降低能源强度产生促进作用.进一步研究发现,现阶段能源强度的降低主要是由于总产出的增加,而不是能源消耗总量的减少.研究客观分析了人工智能的发展对能源强度的影响效应,为政府规划人工智能发展提供政策参考,有利于促进经济与环境的协调发展.
Abstract：Withtheprogressofinformationtechnologyandthetransformationofsocialproductionandlifestyle,wehaveofficiallyenteredtheeraofIndustry4.0.AsenergyisaninherentcomponentandkeydrivingforceofIndustry4.0,governmentsaroundtheworldaregraduallyfocusingonmanagingandmonitoringenergyconsumption,optimizingenergycombinationsasmuchaspossibletopromotethecoordinationdevelopmentofeconomicandenvironmentalwhentheydevelopartificialintelligence.Asarepresentativeofartificialintelligencetechnology,industrialrobotshavepenetratedintovariousproductionandlifefieldssuchasindustry,civilian,andmilitaryduetotheirstrongtechnicality,highefficiency,andwideapplicability.Theynotonlypromotetheimprovementofproductionefficiencyandeconomicgrowth,butalsoinjectstrongimpetusintotheprosperityanddevelopmentofthecountry.Reviewingpreviousliteratures,wefoundthatresearchesonindustrialrobotsmainlyfocusontheimpactonproductionefficiencyandeconomicdevelopment,includingsustainableeconomicdevelopment,incomedistribution,andinfluenceinthelabormarket,whilethereisrelativelylittleinvestigationoftheimpactonenergyintensity.Meanwhile,althoughresearchesabouttheimpactofartificialintelligenceonenergyintensityhaveachievedcertainsuccess,therearealsosomeshortcomings.Forexample,moststudiesfocusonindividualstudiesindevelopedcountries,andthereisrelativelylittleliteraturethatstudiesdevelopedanddevelopingcountriesfromaglobalperspective;Furthermore,thereisnoconsensusintheacademiccommunityontheimpactofartificialintelligenceonenergyintensityandtotalenergyconsumption,andquantitativeresearchesontheimpactandmechanismofartificialintelligenceonenergyintensitystillneedtobefurtherenriched.Comparedwiththepreviousresearches,thisarticleexpandsthecontentofexistingliteratures.Firstly,basedontheexistingtheories,thisarticlecollecteddataontheinstallationofindustrialrobotsfrom35majoreconomiesworldwide,andanalyzedtheimpactofindustrialrobotsonenergyintensityatdifferentlevelsofeconomicdevelopmentfromtheperspectivesofdevelopedanddevelopingcountries.Secondly,variablessuchasenergystructure,capitalintensity,industrialization,andforeigntradeareintroducedintotheanalysisframeworkascontrolvariables,andtheempiricalresultsoffixedeffectsandrandomeffectsmodelsareusedtoensuretheaccuracyoftheconclusions.Thirdly,theimpactmechanismofartificialintelligenceonenergyintensityisstudiedbyexaminingtheinfluenceofindustrialrobotsoncapitalintensity,GDP,andenergyconsumption.Thisarticleexploresandteststheaboveissuesbyusingrelevantdataof35majoreconomiesfrom2006to2019.Throughouttheentireresearchprocess,empiricalmethodssuchasfixedeffects(FE)andrandomeffects(RE)wereusedtoanalyzetheimpactofindustrialrobotsonenergyintensity,andstabilitytests,endogeneitytests,andheterogeneitytestswereconductedtoensuretheaccuracyofempiricalresultsfrommultipledimensions.Theempiricalresultshaveproventhattheapplicationofindustrialrobotshelpstoimproveenergyefficiency.Specifically,firstly,theapplicationofindustrialrobotscanreduceenergyintensity.Theapplicationofindustrialrobotsformsan"invertedU-shaped"effectonenergyintensity.Whentheapplicationofindustrialrobotshasnotexceededthecriticalvalue,ithasaninhibitoryeffectonreducingenergyintensity.Whenitexceedsaspecificcriticalvalue,itwillpromotethereductionofenergyintensity.Secondly,thedecreaseinenergyintensityismainlyduetoanincreaseintotaloutput,ratherthanadecreaseintotalenergyconsumption.Thatis,whenthenumberofindustrialrobotsincreases,thegrowthrateinindustrialgrossdomesticproductandpercapitaGDPisgreaterthanthatinenergyandpercapitaenergyconsumption.Thirdly,althoughartificialintelligencecanreduceenergyintensity,itsimpactonenergyintensityvariesbetweendevelopinganddevelopedcountries.Thestudyobjectivelyanalyzedtheimpactofthedevelopmentofartificialintelligenceonenergyintensity,andtheresultsoftheinvestigationcanprovidepolicyreferenceforthegovernmenttoplanthedevelopmentofartificialintelligence,andpromotetheharmoniousdevelopmentofeconomyandenvironment.However,therearealsosomeresearchlimitations.Wehavenotexploredtherelevantimpactfromanindustryperspective.Infutureresearch,themechanismoftheimpactofindustrialrobotsonindustrialenergyintensitycanbefurtherexploredfromanindustryperspectivebasedontheenergyconsumptioncharacteristicsofindustrialsubindustries.
作者：祝红飞 张协奎 Author：ZHUHongfei ZHANGXiekui
作者单位：广西大学工商管理学院广西南宁530004广西大学经济学院,广西南宁530004
刊名：重庆理工大学学报 PKU
Journal：JournalofChongqingInstituteofTechnology
年，卷(期)：2024, 38(8)
分类号：F416F49
关键词：人工智能 工业机器人 能源强度 能源结构 工业化
Keywords：artificialintelligence industrialrobot energyintensity energystructure industrialization
机标分类号：TP242.2P467S162
在线出版日期：2024年6月27日
基金项目：广西高校人文社会科学重点研究基地珠江-西江经济带发展研究院科学研究基金项目人工智能对能源强度的影响评估[
期刊论文] 重庆理工大学学报--2024, 38(8)祝红飞 张协奎在工业4.0时代,工业机器人的应用在促进经济发展、优化社会分工和提高劳动生产率等方面展现出重要作用.能源和环境问题日益严峻,并且人工智能的发展需要消耗大量的能源,探究不同经济体工业机器人的应用对能源强度的影响具...参考文献和引证文献
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人工智能对能源强度的影响评估 Assessment of the impact of artificial intelligence on energy intensity
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