OALib Journal期刊
ISSN: 2333-9721
费用:99美元
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中国主要经济区城市工业用地效率的时空差异和收敛性分析
DOI: 10.11821/dlxb201508011, PP. 1327-1338
Keywords: 工业用地,经济区,效率,收敛性,SBM模型,城市,中国
Abstract:
基于SBM模型分析了2002-2012年中国6个主要经济区城市工业用地利用效率的空间差异,然后用Malmquist指数揭示工业用地全要素生产率(Totalfactorproductivity,TFP)的动态变化,并对其做收敛性分析。结果发现珠三角和长三角经济区城市工业用地利用效率较高,但TFP却出现衰退趋势;京津冀、成渝、关中—天水和中原经济区城市工业用地利用效率较低,但TFP却出现增长趋势。各经济区都存在工业用地粗放利用、工业劳动力过剩以及工业经济产出不足的情况。工业用地TFP的收敛性分析表明仅有长三角经济区存在俱乐部收敛现象;各经济区都存在条件收敛。影响变量的估计结果表明,为提高工业用地TFP,长三角经济区需要适当减小工业劳动力和工业产值占总体劳动力和经济产值的比重,珠三角经济区需要提高城市化率,京津冀经济区需要适当提高工业产业层次并积极引导转移工业剩余劳动力,成渝经济区需要适当减小工业劳动力比重;所有经济区都需提高工业用地利用强度。
References
[1] | NationalBureauofStatistics.ChinaStatisticalYearbook.Beijing:ChinaStatisticsPress,2002-2014.[国家统计局.中国统计年鉴.北京:中国统计出版社,2002-2014.]irgr
|
[2] | MinistryofHousingandUrban-RuralDevelopment.ChinaCityConstructionStatisticalYearbook.Beijing:ChinesePlanningPress,2002-2013.[中华人民共和国住房和城乡建设部.中国城市建设统计年鉴.北京:中国计划出版社,2002-2013.]
|
[3] | RicardoD.ThePrinciplesofPoliticalEconomyandTaxation.Beijing:HuaxiaPublishingHouse,2009:30-32.[大卫·李嘉图.政治经济学及赋税原理.北京:华夏出版社,2009:30-32.]
|
[4] | FujitaM,KashiwadaniM.Testingtheefficiencyofurbanspatialgrowth:AcasestudyofTokyo.JournalofUrbanEconomics,1989,25(2):156-192.Thispaperexaminesthelong-runefficiencyoflanddevelopmentinTokyoMetropolitanArea(TMA).Usingadynamicplanningmodelofurbanlanduse,theefficientlanddevelopmentprocessesofTMAarecalculatedundervariousscenariosforthetimeperiod1955–2020.Then,theactualspatialgrowthofTMAforthetimeperiod1955–1980iscomparedwiththeseefficientprocesses.Itisshownthattheactualgrowthprocessisqualitativelyverysimilartotheefficientones;however,theactualgrowthprocessismorespatiallydispersed.Itisalsoshownthatactuallandpricesin1980and1984areconsiderablyhigherinthemiddlesuburbsthanthoseassociatedwiththeefficientprocesses.DOI:10.1016/0094-1190(89)90033-8Elsevier
|
[5] | MattthewsKB.Combiningdeliberativeandcomputer,basedmethodsformulti-objectiveland-useplanning.AgriculturalSystems,2006,87(1):18-37.Thispaperreportstheoutcomesofadeliberativeworkshopcomparingland-useplansproposedbyland-managerordomainexpertswiththosederivedusingacomputer-baseddecisionsupportsystem(DSS).TheDSSintegratesfourmaincomponents,ageographicinformationsystem,land-usesystemssimulationmodels,impactassessmentsandland-useplanningtools.Theland-useplanningtoolsdrawontheothercomponentstogenerateandevaluatealternativepatternsoflanduseandmanagement.Sincetheland-useplanningtoolsarebasedonmulti-objectivegeneticalgorithms(mGAs)itispossibletogeneratearangeofalternativeplansthatdefinethestructureofthetrade-offbetweentheobjectives.Theworkshoptaskedthedelegateswithspecifyingland-useplansthatachievedthebestcompromisebetweentwoobjectivesknowntobenon-commensurableandconflicting.Thenatureofthebestcompromisewasdependentontheirindividualperspectives.Thedelegatesproposedallocationsbothasindividualsandinresearcher-facilitatedsub-groups.ThemGAallocationswerethencomparedwiththosederivedbydelegatesandwerefoundtobebroadlysimilarinperformance.Differencesintherangeofallocationsconsideredfeasiblewereexplainedbythehardandsoftconstraintsonallocationsagreedbetweenthedelegatesandarticulatedwithintheworkshopprocess.ThehypothesisthatpartofthedifferenceinperformancebetweenthemGAanddelegateallocationswasduetothedelegatesblockingtogetherfieldswiththesamelanduseforconvenienceofmanagementwasproved.Theanalysisofthegroupallocationsrevealedthatthedecision-makingprocesshadfailedtoimproveontheindividualallocations.FromtheseresultsitwasconcludedthattherewasapotentialroleformGAbasedland-useplanningtoolsinresearchinginto,anddeliberatingon,thepossibleimpactsofpolicyorotherfactorsaffectingland-usesystems.Itwasfurtherconcludedthatthetoolsshouldnotbeusedinisolationsincetherewastheneedforstake-holderinputstoadequatelydefinetherangeoffeasibleandpracticalland-useplans.Elsevier
|
[6] | HuYueming,XiaoLi,JiangHua,etal.Applicationofanalytichierarchyprocessinstudyonlandusemeasures.JournalofNorthwestA&FUniversity(NaturalScienceEdition),2001,29(3):57-60.BasedoninvestigationandanalysisofthelandusestatusoftheNationalEcologicalExperimentalZoneofZhongshanCity,Thefundamentalprinciplesandmathematicalmodelofanalytichierarchyprocess(AHP)wereappliedinstudiesonlandusemeasures.Landusemeasuresweremarkedoffto4layersofstratagicaltarget,planningstratagem,restrictivefactorandmeasures.Modeloflandusemeasuresandjudgingmatrixweredeveloped,testofcoherencewascarriedout,correspondingweightwascalculated,andlandusemeasuresweresorted.Accodingtothesortingresult,distributionwithreasons,makingoverallplans,optimizinglandusestructure,andimprovingusingratiooflandarethemainmeasurestobeadoptedinthedevelopmentoftheNationalEcologicalExperimentalZoneofZhongshanCity.CNKI[胡月明,肖莉,江华,等.层次分析法在中山市土地利用对策研究中的应用.西北农林科技大学学报(自然科学版),2001,29(3):57-60.]以中山市国家级生态示范区土地利用优化为例,在对其土地利用现状进行调查分析的基础上,运用层次分析法的基本原理和数学模型进行了土地利用对策研究.首先将土地利用对策划分为战略目标、规划战略、制约因素和政策措施4个层次,建立土地利用对策模型和判断矩阵,并作一致性检验,求算出相应的权重,据此对土地利用对策措施进行排序,根据排序结果,认为中山市国家级生态示范区的土地利用主要应采取合理布局,统筹安排各业用地,优化土地利用结构,提高土地利用率等措施.DOI:10.3321/j.issn:1671-9387.2001.03.013Crossref
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[7] | FuBojie,ChenLiding,MaCheng.Theindexsystemandmethodoflandsustainableuseevaluation.JournalofNaturalResources,1997,12(2):112-118.andsustainableusehasbecomeoneofimportantenvironmentissuesintheworld.Itisnecessarytohavetheproperlandusetechnologyandanappropriatemethodforlanduseevaluation.Thispaperdealswiththedevelopmentofanewmethodforlandsustainableuseevaluation.Weattempttocombinetheclassicallandevaluationmethodwiththelandscapeecologymethod.Theclassicallandevaluationmethodemphasizestheabioticfactors,suchassoil,landform,climateandsoon,whilethelandscapeecologymethodpaysmoreattentiontothespatialrelationandprocesses.Inthenewlyproposedevalutionsystem,weselectaseriesoffactorsastheevalutionindices.Someofthefactorsreflectthequality,attributesandtheuseprocessoftheland;othersareecologic,economicandsocialfactorsthatrestrainthelandsustainableuse.Atlast,amodeloflandsustainableuseevaluationisgiven.原文[傅伯杰,陈利顶,马诚.土地可持续利用评价的指标体系与方法.自然资源学报,1997,12(2):112-118.]本文分析了土地利用系统和土地可持续利用的特点,阐述了土地利用的持续性是土地利用适宜性在时间上的扩展,从生态、经济和社会3方面建立了土地可持续利用评价的指标体系。在不同的空间尺度上,土地可持续利用评价的主导因素也不同,从田块—农场—流域或景观—区域或国家—全球,土地利用可持续利用的主要约束因素分别是农业技术—微观经济—生态因子—宏观经济和社会因子—宏观生态因子,依据这一特点,提出了区域土地可持续利用的评价过程。DOI:10.1007/BF02951625原文
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[8] | ZengYi.Studyontheevaluationindexsystemofregionallanduse.LandandResourcesHerald,2005,2(5):23-27.[曾毅.区域土地利用现状体系评价指标体系研究.国土资源导刊,2005,2(5):23-27.]维普
|
[9] | CongMingzhu,OuXiangjun,ZhaoQing,etal.DivisionoflandusedegreeinJiangsuProvincebasedonprincipalcomponentanalysis.GeographicalResearch,2008,27(3):574-582.Onthebasisofreviewingrelatedliteraturesathomeandabroadaboutlandusezoning,throughtheconstructionoftheregionallandusedivisionalcomprehensiveevaluationindexsystem,byusingSPSSsoftwareandprincipalcomponentanalysiswhichisoneofthemultivariatestatisticalmethods,wemadeacomprehensiveevaluationoflanduseextenttakingcountiesandcitiesasunitsinJiangsuProvince.Thecomprehensiveevaluationindexsystemoftheregionallanduseisbuiltupbyselecting25indexesfromthefollowingsixfieldsofregionallanduse:structures,inputs,outputs,ecology,dynamicsandpotential.Onthegroundsofthecomprehensivescoresoflanduse,meanwhilewiththecombinationofspaceexpressionofMAPinfographicalsoftware,theresultsindicatethatthelanduseextentpresentsnotableurban-ruraldifferenceandnorth-southregionalunbalance.Atthesametime,thesyntheticleveloflanduseisrelativelyhighineconomicallydevelopedregionsandthereisagraduallydecreasingtendencyfromsouthtonorthinJiangsuProvince,thegeographicalfeaturesofgradientdifferencesaresignificant.AccordingtotheanalysisoflandusecomprehensivelevelincountiesandcitiesofJiangsuProvince,andconsideringintegratednaturalconditions,characteristicsoflanduseandcontinuityofregionalizationunitsinspaceposition,withtheprinciplethatthenaturalconditionsshouldbeconsistentwiththecharacteristicsofthelandusewithinregionalizationunits,thereforewecandividethelanduseextentintothreefirst-orderlandusezones:JiangNanarea,Yangtze-HuaiheareaandHuaibeiarea.Basedontheprinciplesofphysicalgeographicfeaturesandadjacentdistance,itcanbefurtherdividedintosevensecondaryland原文[丛明珠,欧向军,赵清,等.基于主成分分析法的江苏省土地利用综合分区研究.地理研究,2008,27(3):574-582.]在回顾国内外关于土地利用分区研究的基础上,以县市为研究单元,从土地资源利用的结构、投入、产出、生态、动态和潜力等6个方面,遴选出25个指标,组成区域土地利用分区的综合指标评价体系,借助SPSS软件,利用主成分分析法,对江苏省各县市的土地利用程度进行综合评价。结果表明:江苏省县市土地利用程度呈现明显的城乡差异和南北区域不平衡,经济发达的县市,土地利用的综合水平相对较高,并由南向北逐渐递减,梯度差异地域特征显著;参考综合自然条件、土地利用特点和区划单元空间位置的连续性,将江苏省划分为3个一级土地利用区域,即江南地区、江淮地区和淮北地区;并进一步划分为环太湖地区、宁镇山地丘陵地区、江淮沿江地区、江淮沿海地区、里下河平原地区、淮北沿海地区和沿黄河故道地区等7个二级土地利用区域。原文
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[10] | GaoDeshan,HuangYun,LiuLiu,etal.StudyonurbanlandintensiveuseinWanzhouDistrict.JournalofAnhuiAgriculturalScience,2007,35(8):2350-2351.Urbanlandintensiveusewasanextremelyessentialquestionforurbansustainabledevelopment.BasedontheactualsituationofWanzhoudistrictinChongqing,appraisabletargetswereselectedandevaluationsystemofurbanlandintensiveuseinWanzhouwasestablished.Furthermore,theintensivedegreeofWanzhouwasevaluated.Comparativeresearchwascarriedoutbyselecting9citiesfromthenationwhichhadsimilarscaleandpopulationasWanzhoudistrict.CNKI[高德山,黄云,刘鎏,等.重庆市万州区城市土地集约利用研究.安徽农业科学,2007,35(8):2350-2351.]维普
|
[11] | LeiGunaghai,LiuYouzhao,LuXiaoping.Drivingforcesandspace-temporalvarianceofurbanlanduseintensityin13citiesofJiangsuProvince.ResourcesandEnvironmentintheYangtzeBasin,2009,18(1):7-13.High-efficientandintensiveuseofurbanlandisanessentialrequestforsustainableurbandevelopment.Basedonconnotationofintensivelanduseandtheevaluationprincipleofintensivedeploymentofcityland,thispaperestablishesasetofscientificandpracticalindexsysteminevaluatingtheintensiveutilizationofcityland,andconductsademonstrationanalysisin13citiesofJiangsuProvincebythewayofmultifactorcomprehensiveevaluation,rankcorrelationcoefficientandclusteranalysis.Duringthelasttenyearsfrom1997to2006,theurbanlanduseintensityhadincreasedinallcites,butvariedinamplitudeandmodeindifferentcities.UrbanlanduseintensitywasdescendingsharplyfromthesouthernandthemiddletothenorthernpartofJiangsuProvince,inwhichNanjingwasthetiptopandSuqianwasthelowest.Finally,thispaperanalysesthedrivingforceswhichcausedthisphenomenonofspace-temporalvarianceofurbanlanduseintensity,suchasregionaleconomicenvironment,economicdevelopmentlevel,urbanfunctions,propertiesandscale,etc.原文[雷广海,刘友兆,陆效平.江苏省13城市土地利用集约度时空变异及驱动因素.长江流域资源与环境,2009,18(1):7-13.]城市土地的高效集约化利用是城市可持续发展的客观要求。从城市土地集约利用的内涵入手,依据城市土地集约利用评价的原则,从土地利用投入水平、土地利用程度、土地利用效率、土地利用生态环境质量等方面构建了一个具有三级层次结构的城市土地集约利用度评价的指标体系,并在此基础上采用多因素综合评价,秩相关系数和聚类分析的方法以江苏省13个地级市为例进行了实证分析,结果表明:(1)1997~2006年,江苏省13城市土地利用集约度都得到了提高,但是提高的幅度和方式不同;(2)不同城市,苏南、苏中和苏北之间城市土地利用集约度呈现出明显的城市和地域差异,其中,省会南京最高,苏北的宿迁最低。最后,对造成这种时空差异的现象从区域经济环境、经济发展水平、城市性质职能与规模等方面进行了驱动力分析。。DOI:10.3969/j.issn.1004-8227.2009.01.002原文
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[12] | CharnesA,CooperWW.Programmingwithlinearfractionalfunctions.NavalResearchLogisticsQuarterly,1962(15):181-185.
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[13] | WuDewen,MaoHanying,ZhangXiaolei.AssessmentofurbanlanduseefficiencyinChina.ActaGeographicaSinica,2011,66(8):1111-1121.[吴得文,毛汉英,张小雷.中国城市土地利用效率评价.地理学报,2011,66(8):1111-1121.]原文
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[14] | SongJitao,SongJiqiang,SongDunjiang.Discriminatedanalysisfortheefficiencyofurbanlandusestructure.ChinaLandScience,2006,20(6):9-15.ThepurposeofthisstudyistoprovidereferencetorationaladjustmentofurbanlandusestructurebyapplyingtheDEAmodelinurbanlandusestructureanalysis.Thecharacteristicsofurbanlandusestructureanditsrelationstourbanareaswereanalyzed.MethodsofDEAandprobabilitywereemployed.Theresultsindicatethatlandusestructureefficiency(LUSE)islowonthewholeandcitieswithdifferentgradesshowdiverseefficiencyandthereturntoscaleprofit.Theinfluenceoflandusetypesonrelativeefficiencyvariesalotandshowdifferentintensitiesandcharacteristicincitieswithdifferentgrades.Itisconcludedthatthereexistsrelativelyreasonablelandusestructureincitieswithdifferentgrades.Crossref[宋吉涛,宋吉强,宋敦江.城市土地利用结构相对效率的判别性分析.中国土地科学,2006,20(6):9-15.]研究目的:介绍DEA模型在土地利用结构效率分析中的应用,分析城市土地利用结构效率的特点及与城市规模之间的关系,为中国城市合理的土地利用结构及其调整方向提供借鉴。研究方法:采用DEA(数据包络法)进行相关系数的计算,通过概率的基本原理挖掘多目标的信息。研究结果(:1)整体上中国城市土地利用结构效率偏低,规模收益报酬处于递减状态,不同等级的城市表现出完全不同的相对效率和规模收益报酬递增/减规律。(2)不同土地利用类型对相对效率的影响差异较大,并在不同等级的城市内表现出不同的影响强度和个性。研究结论:不同等级的城市存在相对合理的土地利用结构状态。DOI:10.3969/j.issn.1001-8158.2006.06.002Crossref
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[15] | WuJun.TFPgrowthandconvergenceacrossChina'sindustrialeconomyconsideringenvironmentalprotection.TechnologyandEconomyResearchonQuantitativeEconomics,2009(11):17-27.ThispaperappliesMalmquist-LuenbergerindexmethodtomeasureanddecomposeChina'sindustrialTFPduring1998~2007accountingforenvironmentalprotection,andexamineitsconvergence.Themajorconclusionsareasfollows:Underenvironmentalrestrictions,thewesternregionhasthehighestTFPgrowthrateandfluctuation,whilethecentralregionhasthelowestTFPgrowthrateandfluctuation.Theeasternregionisthemainregionwholeadstechnicalinnovation.IndustrialTFPgrowthinallregionsaremainlyderivedfromtechnicalprogress.Boththeeasternandthewesternregionhaveclub-convergence,butthecentralregionjustshowsconditionalconvergence.CNKI[吴军.环境约束下中国地区工业全要素生产率增长及收敛分析.数量经济技术经济研究,2009(11):17-27.]本文通过Malmquist-Luenberger指数将环境因素纳入全要素生产率(TFP)分析框架,测算分析了环境约束下中国1998~2007年地区工业TFP增长及其成分,并对其收敛性进行了检验。测算结果显示,环境约束下西部地区工业TFP增长最快且波动幅度较大,中部地区增长最慢且较为平稳,东部地区则均介于二者之间;各地区工业TFP增长均主要源自技术进步;东部地区是推动环境技术创新的主要地区。收敛性分析则进一步表明东部和西部地区工业TFP存在俱乐部收敛现象,而中部地区仅存在条件收敛。CNKI
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[16] | GuoGuancheng,XiongQiang.StudyontheurbanindustriallanduseefficiencyanditsinfluencingfactorsinChina.ChinaLandScience,2014,28(4):45-52.原文[郭贯成,熊强.城市工业用地效率区域差异及影响因素研究.中国土地科学,2014,28(4):45-52.]研究目的:对中国各省2005—2010年城市工业用地效率变化状况及其影响因素进行实证分析。研究方法:采用数据包络分析(DEA)测算全国各省2005—2010年城市工业用地效率,在此基础上,运用混合模型和固定效应模型分析全国城市工业用地效率的影响因素。研究结果:(1)城市工业用地效率差异大且呈现下降的趋势;(2)各省的城市工业用地效率变异系数呈现扩大趋势;(3)影响城市工业用地效率的主要因素是工业行业规模、土地市场化水平、工业行业对外开放程度、工业行业集聚程度。工业行业产权结构对城市工业用地效率并不具有显著影响,而工业行业技术水平和工业行业结构对城市工业用地效率的影响还需进一步检验。研究结论:城市工业用地效率差异大,变化复杂,受多种因素共同影响,未来的政策应当提高土地市场化水平,注重工业行业的规模化经营,努力提升工业行业科技水平及开放化程度,并合理规划好工业园区或开发区,促进工业行业发挥集聚效应,最终提升工业用地效率。DOI:10.3969/j.issn.1001-8158.2014.04.007原文
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[17] | XiongQiang,GuoGuancheng.StudyontheefficiencydifferenceofcityindustriallandproductionacrossprovincesinChina.ResourcesScience,2013,35(5):910-917.[熊强,郭贯成.中国各省区城市工业用地生产效率差异研究.资源科学,2013,35(5):910-917.]本文选取城市工业用地面积、城市工业资本投入、城市工业从业员工人数和城市工业总产值为评价指标,运用DEA模型和Malmquist指数分解法,对比分析了2003年-2009年期间,中国29个省际城市工业用地生产效率差异以及全要素生产率的变化。研究发现:①东中西部城市工业用地生产效率水平总体较低,而中西部地区历年来又都低于全国平均水平;②城市工业用地纯技术效率较低,是影响综合效率的主要因素;③城市工业用地普遍存在规模效率递减的趋势;④城市工业用地普遍存在较高的投入冗余率的情况;⑤全国大部分地区的全要素生产率指数都呈现上升趋势,西部地区上升速度较显著。加快产业转型升级,加大科技投入,贯彻集约利用土地政策,促进企业用地规模最优化是实现工业用地效率提升的必由之路。万方
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[18] | FengChangchun,LiuSijun,LiRongwei.Evaluationofprefecture-levelcityindustriallandefficiencyinChina.ModernCityResearch,2014,(4):45-49.Thispaperanalyzedtheurbanindustriallandefficiencyin262citiesacrossChinabasedonDEAmodel.Theresultsareasfollows:1)Theinput-outputefficiencyofurbanindustriallandislowbylargeandappearshighintheeastandlowinthemidandwest,highinbigcitiesandlowinsmallcities,highindevelopedareaandlowintraditionalindustrialandminingcities.2)Themostimportantfactorcontributingtolowinput-outputefficiencyofurbanindustriallandislowprofitofindustrialenterprisesabovedesignatedsize,andtheinputredundancyofcapital,landandlaborcomesnext.3)Thescaleefficiencyofindustriallanduseinmostofthecitiesisrising.Moreover,thescaleefficiencyofbigcitiestendstoreduceandthesmallcitiesareopposite.CNKI[冯长春,刘思君,李荣威.中国地级及以上城市工业用地效率评价.现代城市研究,2014,(4):45-49.]
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[19] | ToneK.Aslacks-basedmeasureofefficiencyindataenvelopmentanalysis.EuropeanJournalofOperationalResearch,2001,130(3):498-509.Inthispaper,wewillproposeaslacks-basedmeasure(SBM)ofefficiencyinDataEnvelopmentAnalysis(DEA).Thisscalarmeasuredealsdirectlywiththeinputexcessesandtheoutputshortfallsofthedecisionmakingunit(DMU)concerned.Itisunitsinvariantandmonotonedecreasingwithrespecttoinputexcessandoutputshortfall.Furthermore,thismeasureisdeterminedonlybyconsultingthereference-setoftheDMUandisnotaffectedbystatisticsoverthewholedataset.Thenewmeasurehasacloseconnectionwithothermeasuresproposedsofar,e.g.,Charnes–Cooper–Rhodes(CCR),Banker–Charnes–Cooper(BCC)andtheRussellmeasureofefficiency.Thedualsideofthismodelcanbeinterpretedasprofitmaximization,incontrasttotheratiomaximizationoftheCCRmodel.Numericalexperimentsshowitsvalidityasanefficiencymeasurementtoolanditscompatibilitywithothermeasuresofefficiency.DOI:10.1016/S0377-2217(99)00407-5Elsevier
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[20] | F?reR,GrosskopfS.Characteristicsofapollutingtechnology:Theoryandpractice.JournalofEconometrics,2005,126(2):469-492.Weuseaquadraticdirectionaloutputdistancefunctiontomeasurethetechnicalefficiencyof209electricutilitiesthatproduceelectricityandapollutingbyproduct,SObefore(1993)andafter(1997)implementationofPhaseIregulationsoftheacidrainprogram.WealsoestimatetheshadowpriceofSOandtheoutputelasticityofsubstitutionbetweenelectricityandSOandfindthatelectricutilitiescanreduceemissionsby4000–6000tonsbyreducinginefficiency,theshadowpriceofSOincreasesfrom1993to1997,andthattheelasticityofsubstitutionindicatesthattheabilitytotradereductionsinelectricityproductionforreductionsinSOemissionsbecamemoredifficultbetween1993and1997.DOI:10.2139/ssrn.394342ElsevierCrossref
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[21] | ZhouP,AngBW.Linearprogrammingmodelsformeasuringeconomy-wideenergyefficiencyperformance.EnergyPolicy,2008,36(8):2901-2906.Dataenvelopmentanalysis(DEA)hasrecentlygainedpopularityinenergyefficiencyanalysis.AcommonfeatureofthepreviouslyproposedDEAmodelsformeasuringenergyefficiencyperformanceisthattheytreatenergyconsumptionasaninputwithinaproductionframeworkwithoutconsideringundesirableoutputs.However,energyuseresultsinthegenerationofundesirableoutputsasby-productsofproducingdesirableoutputs.Withinajointproductionframeworkofbothdesirableandundesirableoutputs,thispaperpresentsseveralDEA-typelinearprogrammingmodelsformeasuringeconomy-wideenergyefficiencyperformance.Inadditiontoconsideringundesirableoutputs,ourmodelstreatdifferentenergysourcesasdifferentinputssothatchangesinenergymixcouldbeaccountedforinevaluatingenergyefficiency.Theproposedmodelsareappliedtomeasuretheenergyefficiencyperformancesof21OECDcountriesandtheresultsobtainedarepresented.DOI:10.1016/j.enpol.2008.03.041Elsevier
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[22] | Sala-I-MartinXX,Regionalcohesion:Evidenceandtheoriesofregionalgrowthandconvergance.EuropeanEconomicReview,1996,40(6):1325-1352.
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[23] | YuRengang.Petty-Clarktheoremreview.DynamicEconomics,1996(8):63-65.PDF[于刃刚.配第—克拉克定理评述.经济学动态,1996(8):63-65.]配第——克拉克定理的基本内容早在17世纪,威廉.配第就指出:随着经济的发展,工业将比农业占有更重要的位置,而商业又将比工业占有更重要的位置。1935年,费雷又进一步指出:生产结构的变化表现为各种人力、物力资源将不断地从第一产业转向第二产业,再从第二产业转向第三产业,即使政府进行干预也无法阻止这一进程。CNKI
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[24] | JinBei,LuTie,DengZhou.TransformationandupgradingofChina'sindustrialstructure:Process,issuesandtrends.ChinaIndustrialEconomy,2011(2):5-15.CNKI[金碚,吕铁,邓洲.中国工业结构转型升级:进展、问题与趋势.中国工业经济,2011(2):5-15.]CNKI
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