基于超效率SBM-ESDA模型工业生态效率及影响因素解析-豆柴文库

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基于超效率SBM-ESDA模型工业生态效率及影响因素解析
Title:AnalysisofIndustrialEco-efficiencyandInfluencingFactorsbasedontheSuperEfficiencySBM-ESDAModel
Abstract:
Industrialeco-efficiencyisacrucialmeasureforevaluatingtheoverallperformanceandsustainabilityofindustrialproductionprocesses.Togaininsightsintothefactorsinfluencingindustrialeco-efficiency,thispaperappliestheSuperEfficiencySlack-BasedMeasure-EfficiencyScaleDEA(SBM-ESDA)model,whichtakesintoconsiderationboththetechnicalefficienciesofindividualunitsandtheslackvariablesreflectingexternalenvironmentalfactors.Theproposedmodelallowsforacomprehensiveanalysisofindustrialeco-efficiencyanditsinfluencingfactors.
Introduction:
Industrialproductionhassignificantlycontributedtoeconomicdevelopment,butithasalsoresultedinadverseenvironmentalimpacts.Maintainingabalancebetweeneconomicgrowthandenvironmentalsustainabilityisofparamountimportance.Industrialeco-efficiency,asanessentialindicator,providesinsightintohowresourcesareusedmoreefficientlywhileminimizingenvironmentalimpacts.Thisstudyaimstoanalyzeindustrialeco-efficiencyandidentifythecrucialfactorsthataffecteco-efficiencyperformanceinindustries.
Methodology:
TheSuperEfficiencySBM-ESDAmodelisemployedtoanalyzeindustrialeco-efficiencyandinfluencefactors.TheSBMmodelissuitableforevaluatingindustrialeco-efficiencyduetoitscapabilityinconsideringmultipleinputsandoutputs.Additionally,theESDAtechniqueallowsfortheidentificationofinfluentialfactors.Thedatausedinthisstudyconsistsofvariousindustries'performanceindicatorsandtheircorrespondinginputandoutputvariables.
ResultsandDiscussion:
TheresultsobtainedfromapplyingtheSuperEfficiencySBM-ESDAmodeluncoveredcriticalfindings.Firstly,theindustrialeco-efficiencylevelsvariedsignificantlyacrossdifferentindustries.Someindustriesachievedhighereco-efficiencyduetotheiradoptionofadvancedtechnology,whileotherslaggedbehindduetoobsoleteproductionprocesses.Secondly,theinfluentialfactorsaffectingeco-efficiencyperformancewereidentified.Thesefactorsincludedtechnologicalinnovation,