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  • 简介:It’sbeenwellrecognizedforthebigroleplayedbyinnovativeruralcooperativefinancialorganizationsintermsofspreadingfarmers’operationrisk,increasingfarmers’income,anddevelopingruraleconomy.However,nosufficientresearchhasbeenconductedregardingthosefactorswhichmayhaveeffectsonthefarmer’swillingnesstoparticipateinthenewruralfinancialorganization.Thispapertriestofilloutthegapofidentifyingvariousfactorswhichmayhavepotentialinfluenceonthefarmer’swillingnesstoparticipateinthenewtypeofruralfinancialcooperatives.Intheprocess,442farmerhouseholdsandsmall-micro-enterprisesaresampledfromthecooperativefinanceexperimentvillagesinPanjinmunicipalityofLiaoningprovince.Thepotentialinfluencingfactorsareclassifiedintofourcategories,includingthefamerhousehold’scharacteristics,financialcooperativereputation,transactioncosts,andservicequality.AdiscreteLogitmodelisusedfortheparameterestimations.Theresultsshowthatmostassumedfactorsdisplaystatisticalsignificanceeffectonthefarmer’swillingnesstotakepartintheruralcooperativefinancingorganizationsbutwithdifferentlevelofsensitivity.Thecauseandeffectarefullydiscussedfollowingbyaddressingpolicyissuesrelatedtotheruralfinancingcooperativereforms.

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  • 简介:Sincethereformandopeningup,thelocalgovernmenthasplayedakeyroleinpromotingtheeconomicandsocialdevelopmentofourcountry,andtheeffectiveimplementationofthelocalgovernmenthasbecomeanimportantresearchtopic.Therefore,basedontheliterature,theobservationmethodofin-depthinterviews,practiceinvestigationandparticipationisadoptedinthispaper,whichfocusesontheimplementationofspecialgroupsofsocialassistancepolicy.Thetheoreticalframeworkofgovernment’rationalchoicerevealsthestatusoflocalgovernmentimplementationpoliciesandbehaviorbehindthemechanismandorganizationalstructure.Thestudyfoundthat:(1)thelocalgovernmentiseasytochooseaquantifiablepolicytoimplement;(2)thereisacoexistencebetweenthelocalgovernmentdepartments;(3)thelocalgovernmentselectivelymeetstheneedsofspecialpersonnel;(4)thelocalgovernment’sseekingpoliticalpromotionandpowerleadstoitsbehavioralienation.

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  • 简介:Companiescandomanybusinessopportunitiesthatdrivethegrowthrateofthecountry’seconomy.Butontheothersideoftherateofeconomicgrowth,visiblesocialgapandenvironmentaldamageoccurred.Therefore,thecompanymustrunitsoperationsbynotonlyfocusontheinterestsofthecompany(shareholder),butalsolookatthesocialandenvironmentalinterests(stakeholder)byimplementinggreenbusinesswhichistheapplicationofcorporatesocialresponsibility(CSR).Thisstudyaimstodeterminetheeffectofprofitability,leverage,andgrowthoncorporatesocialresponsibilitydisclosure(CSRD)ordisclosureoftheimplementationofgreenbusinessoffoodandbeveragecompanieslistedontheIndonesiaStockExchange(BEI)2013to2015whichisthepopulationofthisstudy.Thisgroupofcompaniesistakenastheobjectofresearchbecauseinthoseyearsthegroupofcompaniescontinuestoexperiencegrowthandcontributethelargesttogrossdomesticproduct(GDP)comparedtoothergroupsofcompanies.ThisresearchcanbeinputformanyothercompanieshowconditiononCSRDinfoodandbeverageconditionseenfromfinancialfactors.Thetypeofresearchisdescriptivequantitativewithhypothesistestingandcausalmethod.Theresultofthisresearchprovesthatprofitabilityvariablewithreturnonassets(ROA)indicatorinfluencesignificantlyandpositivelytoCSRD,whileleverageandgrowthdoesnotsignificantlyinfluenceCSRD.

  • 标签: CSRD green BUSINESS PROFITABILITY leverage growth
  • 简介:IntegratedwithGISandremotesensing(RS)technology,asystematicanalysisanditsmethodologyforhuman-settlementssocialenvironmenthasbeenintroduced.Thismethodologyhasbeencalledspatialtrendfieldmodel(STFM).STFM'sapplicationhistoryinthefieldofhuman-settlementssocialenvironmenthasbeendiscussedatfirst.Then,someindexdatamodelshavebeencreatedthroughSTFM,whichincludepopulationdensitytrendfield,humanactivitystrengthtrendfield,city-townspatialdensitytrendfield,urbanizationratiotrendfield,roaddensitytrendfield,GDPspatialdensitytrendfieldandPER-GDPspatialdensitytrendfield.Withallabove-mentionedindexesasinputdata,throughIterativeSelf-OrganizingDataAnalysisTechniquesAlgorithm(ISODATA),thispapermakesaverificationstudyofChongqingmunicipality.TheresultofthecasestudyconfirmsthatSTFMmethodologyiscredibleandhashighefficiencyforregionalhuman-settlementsstudy.

  • 标签: 人类住区 空间密度 社会网络 重庆市 面模型 分析基
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