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基于PLS回归的造纸上市公司经营绩效影响因素探析 Title:AnalysisofFactorsAffectingtheOperatingPerformanceofListedPaperCompaniesBasedonPLSRegression Abstract: ThepurposeofthispaperistoexaminethefactorsthatinfluencetheoperatingperformanceoflistedpapercompaniesusingPartialLeastSquare(PLS)regression.Acomprehensivereviewofrelevantliteratureonfinancialperformanceandkeydeterminantsofpaperindustryperformancewasconducted.ThePLSregressionmethodwasutilizedtoanalyzeadatasetconsistingoffinancialdataandotherrelevantvariablesofselectedlistedpapercompanies.Thefindingsindicatethatfactorssuchastechnologyinnovation,marketcompetition,andcorporategovernancesignificantlyinfluencetheoperatingperformanceoflistedpapercompanies.Theresultsofthisstudyprovideimportantinsightsforpractitionersandpolicymakersinthepaperindustry. 1.Introduction Thepaperindustryplaysacrucialroleintheglobaleconomy.Withintheindustry,listedpapercompaniesarefacedwithcompetitivepressures,technologicaladvancements,andincreasingenvironmentalconcerns.Therefore,itisimportanttounderstandthekeydeterminantsofacompany'soperatingperformancetomakeinformeddecisionsanddevelopstrategiesforsustainablegrowth.Thispaperaimstoinvestigatethefactorsthatinfluencetheoperatingperformanceoflistedpapercompanies. 2.LiteratureReview Thissectionprovidesacomprehensivereviewoftheliteratureonfinancialperformanceandthekeydeterminantsofpaperindustryperformance.Previousstudieshaveidentifiedvariousfactorsthatinfluenceacompany'sfinancialperformance,includingtechnologicalinnovation,marketcompetition,andcorporategovernance.Thesefactorshavebeenfoundtohavebothdirectandindirecteffectsonoperatingperformance. 3.ResearchMethodology ThisstudyutilizesthePLSregressionmethodtoanalyzethefactorsaffectingtheoperatingperformanceoflistedpapercompanies.PLSregressionisapowerfultoolforanalyzingcomplexrelationshipsbetweenvariableswithsmallsamplesizes.Itallowsfortheidentificationofbothdirectandindirecteffectsofindependentvariablesonthedependentvariable. 4.DataAnalysisandResults Thedatasetusedinthisstudy