文档名：汽车制造业绿色供应链管理对环境绩效的影响研究
摘要：从绿色供应链管理和大数据分析能力视角探讨制度压力对企业环境绩效的影响机理,揭示绿色供应链管理和大数据分析能力在企业环境绩效形成过程的作用.研究结果表明:制度压力对绿色供应链管理实施与大数据分析能力有显著影响;绿色供应链管理与大数据分析能力对企业环境绩效提升有显著影响;大数据分析能力对企业绿色供应链管理实施有显著影响;在制度压力对环境绩效的影响中,大数据分析能力与绿色供应链管理存在部分中介效应.研究结果能够为汽车制造企业重视大数据分析能力建设和绿色供应链管理实践,提高环境绩效提供一定的参考价值.
Abstract：Withtherapiddevelopmentofourcountry'seconomy,thenumberofautomobileowners,drivers,,automobileindustrieshavecontinuedtoincrease.Ithaspromotedtheprogressofautomobilemanufacturingindustryandalsocausedhugeresourceconsumptionandenvironmentalpollution.Limitedresourcesarenolongerabletosupporttheautomobilemanufacturingindustrywithheavilypolluting,energy-consuming,low-utilizationanddominatedbyanextensiveeconomicgrowthmodel.Inordertocontrolcarbonemissionlevels,theChinesegovernmentproposeddualcontroltargetsforcarbonemissionreductionundertheframeworkoftheParisAgreement,thatis,by2030,carbonemissionswillreachapeak,andatthesametime,carbonemissionintensitywilldropby60％to65％comparedwiththatin2005.Thisrequirestheeconomicactivitiesofmanufacturingcompaniestopaymoreattentiontoenvironmentalsustainability,andenvironmentalperformancehasbecomeanimportantindicatorfortheevaluationofgreeneconomicdevelopment.Therefore,manufacturingcompanieswillfaceincreasinginstitutionalpressureandwillgraduallytransformfromtraditionalprofit-centeredproductionmodelstogreen,open,andsymbioticoperatingmodels.Theimplementationofgreensupplychainmanagementbyenterprisesisanimportantstrategyforimprovingtheenvironmentalperformanceofautomobilemanufacturingenterprisesandpromotingtheirsustainabledevelopment.Atthesametime,withthecontinuousemergenceofemergingtechnologiessuchastheInternet,artificialintelligence,andelectrification,theautomobileindustryhasusheredinanewera.Thenewtechnologicalrevolutionwillleadtochangesinthestructureoftheentireautomobileindustry.Newenergyvehiclesandintelligentnetworkconnectivitycarswillgraduallyformanewdevelopmentdirection.Therefore,theabilityofautomobilemanufacturingcompaniestoanalyzebigdataisnotonlythefocusoftheirowntransformationandupgrading,butalsowillopenanewerafortransformationandinnovation,includinginnovativeR&D,production,operations,marketingandmanagementmodels.From"experiencejudgment"to"dataportrait",artificialintelligenceandothertechnologiestooptimizeautomobilemanufacturingprocessesandoperationaldecisionsareapplied,aswellasappliedtoprocurement,materialsupply,qualitycontrolandsuppliermanagementtorealizeself-improvementandoptimizationofthesupplychain.Atthesametime,thestudyintegratesphysicalresources,supplierinventory,contractorders,productioncapacity,transportationcapacityandbigdataoftheentireindustrychaintooptimizetheproductionsystem,maximizethevalueofmaterialresources,furtherimproveproductionefficiency,reduceproductioncosts,andoptimizethesupplychain.Thedistributionsystemquicklyrespondstouser'sneeds,promotesgreensupplychainmanagement,andimprovescorporateenvironmentalperformance.Therefore,asourautomobilemanufacturingindustryfacesrapidindustrialtransformationandupgrading,howcompaniesusebigdataanalysiscapabilitiestoimproveenvironmentalperformancehasbecomethekeytopromotinganewroundofindustrialrevolution.Inthecontextofgreendevelopmentandbigdataanalysispromotingthetransformationandupgradingofthetraditionalautomobilemanufacturingindustry,thisstudyexplorestheimpactmechanismofinstitutionalpressureoncorporateenvironmentalperformancefromtheperspectiveofgreensupplychainmanagementandbigdataanalysiscapabilities,andrevealstherelationshipbetweengreensupplychainmanagementandbigdataanalysiscapabilities.Questionnairesweredesignedtoinvestigateautomobilemanufacturingcompanies,275piecesofvaliddatacollected,andSmartPLS2.0usedtoestablishastructuralequationmodel(PLS-SEM)toanalyze,processandverifythedata.Themainconclusionsofthisarticlearedrawn:first,institutionalpressurehasasignificantimpactontheimplementationofgreensupplychainmanagementandbigdataanalysiscapabilities;secondly,greensupplychainmanagementandbigdataanalysiscapabilitieshaveasignificantimpactonimprovingcorporateenvironmentalperformance;thirdly,bigdataanalysiscapabilitieshaveasignificantimpactontheimplementationofcorporategreensupplychainmanagement;fourthly,asfortheimpactofinstitutionalpressureonenvironmentalperformance,thereisapartialmediatingeffectbetweenbigdataanalysiscapabilitiesandgreensupplychainmanagement.Bystudyingtheinteractionbetweeninstitutionalpressure,bigdataanalysiscapabilities,greensupplychainmanagementandenvironmentalperformance,thestudycanenrichtheconnotationofgreensupplychainmanagement,clarifytheimportantroleofbigdataanalysiscapabilities,andexpandtheroleofbigdata.Thetheoryandapplicationofsupplychaininnovationandoperationsmanagementcanalsoenrichthecontentandmethodsofthemanufacturingenvironmentalgovernancesystem.Inpractice,itprovidesnewideasandmethodsforautomobilemanufacturingcompaniestotransformandupgrade,cultivatebigdataanalysiscapabilities,andimproveenvironmentalperformance.Ithelpsautomobilemanufacturingcompaniesformulateeffectivebigdataanalysisstrategiesandestablishanewdevelopmentmodelofconservation-oriented,low-carboneconomy.Italsohelpstoimprovehumanwell-being,promotesocialjustice,reduceenvironmentaldamage,solvetheproblemofecologicalscarcity,andpromotethesustainabledevelopmentofenterprises.
作者：代应 李晓佳 宋寒 于晓东Author：DAIYing LIXiaojia SONGHan YUXiaodong
作者单位：重庆理工大学管理学院,重庆400054
刊名：重庆理工大学学报 PKU
Journal：JournalofChongqingInstituteofTechnology
年，卷(期)：2024, 38(8)
分类号：F270.70F274F426
关键词：汽车制造业 绿色供应链管理 环境绩效 制度压力 大数据分析
Keywords：automotivemanufacturingindustry greensupplychainmanagement environmentalperformance institutionalpressure bigdataanalysis
机标分类号：F270F426.471C939
在线出版日期：2024年6月27日
基金项目：重庆市教委人文社会科学重点项目，国家自然科学基金汽车制造业绿色供应链管理对环境绩效的影响研究[
期刊论文] 重庆理工大学学报--2024, 38(8)代应 李晓佳 宋寒 于晓东从绿色供应链管理和大数据分析能力视角探讨制度压力对企业环境绩效的影响机理,揭示绿色供应链管理和大数据分析能力在企业环境绩效形成过程的作用.研究结果表明:制度压力对绿色供应链管理实施与大数据分析能力有显著影...参考文献和引证文献
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汽车制造业绿色供应链管理对环境绩效的影响研究 The impact of green supply chain management on environmental performance in automotive manufacturing industry
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