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我国零售业增长效率研究
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摘要
零售业对国民经济的先导作用日益突显,对国民经济的贡献逐步增大,但是自2012年起,零售业的销售增幅开始低于10%,进入低速增长期,过去靠开店扩张、规模增大获得的粗放发展将被集约发展所替代,零售业的高增长时代即将结束。零售业开始转变发展方式,关键是要从过去追求量的提高到今后重视质的改善,要实现这一转变,提高零售业效率是根本,技术效率、技术进步将助推零售业实现又好又快发展。基于此,本文综合运用现代经济理论和规范的经济学分析工具和方法,在全要素生产率(TFP)研究框架下,理论和实证相结合,深入研究了我国零售业增长的效率问题,进而提出促进零售业增长和效率提升的政策建议。
     论文首先系统阐述了经济增长理论、流通经济理论、零售理论,以及随机前沿模型(SFA)和数据包络分析(DEA)两类效率与生产率测度方法,作为本研究一般性的理论基础和方法工具。然后,从零售业总量增长和结构变化两方面分析了1993—2012年我国零售业的增长现状。从总量方面看,零售业的增加值逐年递增,对GDP的贡献是稳中有升,企业数量和从业人数也稳步增加,且在吸纳社会就业方面的作用越来越重要。从结构方面看,城市零售市场的连锁率高于乡村,我国各地区连锁经营的发展存在显著的区域差异;我国的零售业态主要有超市、百货、便利店、专业店、专卖店、购物中心、仓储会员店、网上商店等多种形式,多数零售企业采取多业态经营;所有制结构方面,外资零售企业的规模增速要高于内资零售企业,利用主成分分析零售业增长力时,发现我国零售业当前的发展还主要是靠规模取胜的,而在劳动力效益、外贸与物流方面还有很大的提升空间。在客观描述零售业增长现状基础上,论文对我国零售业增长的效率进行了实证研究。
     首先,采用超越对数生产函数的随机前沿模型,分析我国零售业的技术效率及其影响因素,在此基础上,检验区域零售业技术效率的收敛性。研究表明,第一,我国零售业平均技术效率还处于比较低的水平,没能充分发挥已有投入和从业人员的全部潜力。第二,技术效率的区域发展不平衡问题严重,东部地区的技术效率显著高于中西部地区,并且各省份之间技术效率的差异也十分明显。第三,当地的物流发展程度、居民消费能力、外商投资情况和人力资本是影响我国零售业技术效率的重要因素。
     其次,采用基于DEA的Malmquist指数方法,分析零售业上市企业的全要素生产率并利用面板回归分析了影响效率的微观因素,研究表明,第一,我国零售业上市公司全要素生产率主要来源于技术效率的变化;第二,从区域层面看,东、中、西部的零售业发展很不均衡,各区的技术效率变化情况都高于技术进步的情况,全要素生产率增长存在显著的区域差异;第三,从业态层面看,60%以上的上市企业为百货超市类,业态比较单一;第四,面板回归结果显示零售业上市公司的效率与无形资产率、股权集中度、存货周转率呈现显著正相关,与资产负债率呈现显著的负相关。
     然后,采用基于数据包络分析(DEA)的Malmquist指数方法详细比较了内外资零售业的效率,并深刻剖析中外零售业效率差别的原因。研究表明,外资零售业TFP增长幅度较大,外资零售业技术进步明显高于内资零售业,成为推动零售业效率提高的主要因素。剖析内外资零售业效率差异的原因主要以美国的零售业为参照,首先,美国的人均消费能力远远高于我国,直接影响了零售业的产出高低,在零售业投入一定的前提下,进而影响到零售业效率的高低;第二,美国的零售业处于产业发展的成熟期,这一时期零售企业各方面经营状况稳定,多业态并存繁荣发展,具有较高的盈利能力和增长效率;而我国的零售业处于产业发展的成长期,各业态之间竞争激烈、经营分散无序、业内缺乏有实力的领袖企业,整体零售业的盈利能力和增长效率都较低;第三,我国零售业的信息化水平远落后于发达国家;第四,我国零售企业总体规模普遍偏小,规模效率低下;其次,我国零售业的连锁化程度低,制约了零售企业的规模化、组织化发展;第六,我国大型超市之间经营的商品品种相似;最后,我国零售业从业人员的学历层次普遍较低。
     最后,选取线上和线下各一家有代表性的零售企业,1号店和永辉超市,对比其效率,并得出三点发展建议供其他企业借鉴,一是培养差异化的竞争优势;二是高效的供应链管理;三是线上线下的融合发展。
     本文的研究表明,尽管我国零售业已经具有技术效率和技术进步双重驱动的增长特征,但是两者的增长都偏低,导致零售业全要素生产率增长缓慢。在今后发展过程中,我国零售业不仅要在体制机制上进行创新,提高对现有资源和技术的利用潜力,促进技术效率的改善;而且要加强技术创新和技术进步,实现零售技术的持续升级。通过效率的改善和技术的提高,促进全要素生产率更快增长。
     鉴于此,本文提出相应的政策建议:第一,提高零售业信息化水平;第二,加强人力资本投资,提高从业人员素质;第三,提高零售企业的组织化水平,促进零售业的规模化发展,提升企业品牌价值;第四,合理规划零售业的营业网点,减少恶性竞争,促进区域协同发展;第五,构建现代物流体系,促进物流业的发展壮大。
The leading role of retail industry on the national economy is gradually growing, andthe contribution to the national economy is gradually increasing, but since2012, salesgrowth of retail industry have begun to less than10%, and entered a period of slow growth,the extensive development through shop expansion and the increase of the scale in the pastwill be replaced by the intensive development, high growth era of the retail industry iscoming to an end. The retail industry has begun to transform the mode of development, thekey is to from the pursuit of quantity in the past to the importance of quality improvementin the future, to achieve this change, improvement of the efficiency of retail industry is thefundamental, technical efficiency, technological progress will be to achieve sound andrapid development and boost retail. Therefore, under the total factor productivity (TFP)framework, Therefore, this paper employs modern economic theories and analysis toolsand methods to theoretically and empirically study on the growth efficiency of China’sretail industry, and then puts forward some policy suggestions to promote the growth andefficiency of the industry.
     The paper firstly introduces the theory of economic growth, circulation economy andretail industry, and the Stochastic Frontier Approach (SFA) and Data EnvelopmentAnalysis (DEA), so as to provide a general theoretical foundation and methodological toolsfor the research. Then, the growth status of China’s retail industry during1993-2012isanalyzed from two aspects of total amount and structure. From the perspective of totalamount, the retail industry has maintained a relatively high growth rate, The retail industryaccounted for the proportion of GDP and remains stable and absorbs employment in anincreasingly important role. From the perspective of structure, the rate of chain in the cityretail market is higher than that in the rural, regional differences of chain developmentexist in China; retail formats in China mainly contain such as supermarkets, departmentstores, convenience stores, specialty stores, specialty stores, shopping malls, warehouseclub stores, online stores and other forms, the majority of enterprises adopt multi formatretail business; from the perspective of ownership structure, the scale growth of foreignretail enterprises is higher than domestic retail enterprises. Analysis of retail growth byprincipal component analysis shows that the development of China's retail industry atpresent also relys mainly on scale, but the labor efficiency, trade and logistics are still weak.Then, the paper empirically studies on the growth efficiency of China’s retail industry.
     First of all, the paper uses stochastic frontier approach of translog production functionto empirically analyze the technical efficiency changes of China’s retail industry, and discusses its influencing factors, then tests the convergence of the technical efficiency. Theresult shows that, first, the technical efficiency of China’s retail industry is low, and it isstill far from being using the available resources and technologies, Second, there aresignificant regional disparities in technical efficiency. The East has the highest growth rate,followed by the middle, while the west is negative growth. In addition, provincialdifference in TE is also obvious.Third,The local logistics development level, residentsconsumption ability, foreign investment and human capital are important factors toinfluence the technical efficiency of China's retail industry.
     And then, the paper applies DEA-based Malmquist index to estimate the total factorproductivity growth of China’s retail listed corporations, and uses panel regression toanalize the factors that influence the efficiency,the results show that, first, tfp changes inChina's retail industry listed corporation come mainly from the technical efficiency; second,from the perspective of regional, the development of retail industry is unbalanced, thechange of the technical efficiency in various districts is higher than that of the technologyprogress, total factor productivity growth has significant regional differences; third, fromthe perspective of retail formats, more than60%listed companies are department stores,supermarkets; fourth, panel regression results show the efficiency of the retail listingcorporation has a significant positive correlation with intangible assets ratio, ownershipconcentration, stock turnover rate, and shows a significant negative correlation with assetliability ratio.
     Then, the paper compares the productivity of domestic and foreign retail industrybased on DEA-Malmquist productivity index, and deeply analyzes the reasons of domesticand foreign retail efficiency difference. Research shows that, the TFP of foreign retailindustry grows larger, technical progress of foreign retail industry is significantly higherthan that of domestic retail industry, and becomes the main factor to promote the retailindustry. The paper analizes the causes of low efficiency of domestic retail are as follows,first, American per capita consumption capacity is much higher than that in China, whichhas a direct impact on retail output level, this condition affects the retail efficiency; second,American retail industry is in the mature period of industrial development, retailenterprises operate steadily, with higher profitability and growth efficiency; and China'sretail industry is in the growth period of industrial development, retail enterprises operatein disorder,compete fiercely between the format, and lack leadership strength enterprise, sothat the overall profitability and growth efficiency of retail industry is low; Third, theinformatization level of China's retail industry is far behind the developed countries; fourth, the overall scale of retail enterprises in our country is generally small, with low efficiency;fifth, the degree of the chain retail business in our country is low, restricting the scale、organized retail enterprise development; sixth, large supermarkets of our countrycommodity has similar species; finally, record of formal schooling of China's retailindustry practitioners is generally low.
     At last, the online and offline retail enterprises are selected,1shop and Yonghuisupermarket, compares the efficiency of them,and obtains three suggestions for thedevelopment of reference for other enterprises, first is to develop differentiated competitiveadvantage; second is the efficient supply chain management; third is o2o development.
     The paper shows that, although China’s retail industry has technical efficiency andtechnical progress driven characteristics, but the growth of both are slow, so resulting in alow growth rate of total factor productivity. The retail industry should not only makeinnovations in the systems and mechanisms to promote higher technical efficiency; butalso strengthen technical innovation and technical progress to achieve continuousupgrading of retail technology.
     To achieve this, the corresponding policy recommendations are put forward:first,improve the retail industry informatization level; second, strengthen the human capitalinvestment, improve the quality of employees; third, improve the organization level ofretail enterprises; fourth, rational planning of retail outlets, reduce the malignantcompetition; fifth, the construction of modern logistics system, to promote thedevelopment of logistics industry growth.
引文
4马克思,资本论.第1卷[M].北京:人民出版社,1975:131.
    5马克思,恩格斯.马克思恩格斯全集,2版,第30卷[M].北京:人民出版社,1995:40.
    6马克思,恩格斯.马克思恩格斯全集,1版,第46卷(上)[M].北京:人民出版社,1972:388.
    [1]Aigner D J, Lovell C A K, Schmidt P.Formulation And Estimation Of StochasticFrontier Production Models[J].Journal Of Econometrics,1977,6:21-37.
    [2]Aigner,D. J.,C. A. K. Lovell,P. Schmidt.Formulation And Estimation Of StochasticFrontier Production Function Models[J].Journal Of Econometrics,1977(6).
    [3]Andersen P,Petersen N C.A Procedure For Ranking Efficient Units In DataEnvelopment Analysis[J].Management Science,1993,10:1261-1264.
    [4]Anindya SEN, Peter G.C. Estimating The Impacts Of Outlet Rationalization On RetailPrices, Industry Concentration, And Sales: Empirical Evidence From Canadian GasolineMarkets[J]. Journal Of Economics&Management Strategy,2010,8:605-633.
    [5]Anjali Chopra&Chairperson, Determinants Of Customer Satisfaction Of TraditionalAnd Modern Formats In Food And Grocery: The Case Of Indian Retail[J]. InternationalJournal Of Researchincommerce,2013,3:44-51.
    [6]Arrow K J.The Economic Implications Of Learning By Doing[J].The Review OfEconomic Studies,1962,29:155-173.
    [7]Atsuyuki Kato, Productivity, Returns To Scale And Product Differentiation In TheRetail Trade Industry: An Empirical Analysis Using Japanese Firm-Level Data[J]. ScienceBusiness Media,2011,11:345-353.
    [8]Anderson,James,A model of the Distributor’s perspective of distributor-manufacturerworking relationship[J]. Journal of marketing,1990,9:48-67.
    [9]Banker R D, Charnes A, Cooper W W.Some Models For Estimating Technical AndScale Inefficiencies In Data Envelopment Analysis[J].Management Science,1984,30:1078-1092.
    [10]Barro,R,X.Sala-I-Martin.Convergence Across States And Regions[J].Brooking PapersOn Economic Activity,1991,1:107-182.
    [11]Barros,C.P.,Alves,C.An Empirical Analysis Of Productivity Growth In A PortugueseRetail Chain Using Malmquist Productivity Index[J].Journal Of Retailing And ConsumerService,2004,11(5):269-278.
    [12]Barros,C.P.The Measurement Of Efficiency Of Portuguese Seaport Authorities WithDEA[J].International Journal Of Transport Economics,2003,30(3):335-354.
    [13]Barros,Carlos Pestana,Perrigot, Rozenn. Analysing Technical And AllocativeEfficiency In The French Grocery Retailing Industry[J].International Review Of Retail,Distribution&Consumer Research,2008,18(4):361-380.
    [14]Batt,R., Managing Customer Services: Human Resource Practices,Quit Rates AndSales Growth[J].Academy Of Management Journal,2002,45(3):133-145.
    [15]Battese E, Coelli T.A Model Of Technical Inefficiency Effects In Stochastic FrontierProduction For Panel Data[J].Empirical Economics,1995,20:325-332.
    [16]Battese E, Coelli T.Frontier Production Functions, Technical Efficiency And PanelData:With Application To Paddy Farmers In India[J].Journal Of Productivity Analysis,1992,3:153-169.
    [17]Battese E,Coelli T.Prediction Of Firm-Level Technical Efficiency With A GeneralisedFrontier Production Function And Panel Data[J].Australia Journal Of Economics,1988,38:378-399.
    [18]Battese G E,Corra G S.Estimation Of A Production Frontier Model:With ApplicationTo The Pastoral Zone Of Eastern Australia[J].Australian Journal Of AgriculturalEconomics,1977,21(3):169-179.
    [19]Battese,G.E., Coelli, T.J.A Model For Technical Inefficiency Effects In A StochasticFrontier Production Function For Panel Data [J].Empirical Economics,1995(2).
    [20]Baumol W.Productiviy Growth, Convergence And Welfare:What The Long-Run DataShow[J].American Economic Review,1986(76):1072-1085.
    [21]Bernard A.B.,Jones C.J.Comparing Apples To Oranges Productivity Convergence AndMeasurement Across Industries And Countries[J].The American Economic Review,1996,86(5):1216-1238.
    [22]Borensztein E, Ostry J.D.Accounting For China’s Growth Performance[J]. AmericanEconomic Review,1996,86(2):224-228.
    [23]Browersox Donald J.,Closs David J.,Cooper M.Bixby.Supply Chain LogisticsManagement[M].Mcgraw&Hill Companies Inc,2002.
    [24]Brown J,Robert F.Lusch And Carolyn Y. Nicholson.Power And RealationshipCommitment:Their Impact On Marketing Channel Member Performance[J].Journal OfRetailing,1995,71(4):363-392.
    [25]Charnes, A.,Cooper, W. W.,Rhodes, E. Measuring The Efficiency Of Decision MakingUnits [J].European Journal Of Operational Research,1978,2(6):429-444.
    [26]Cheng Z,Chenghong Z.Design And Simulation Of Demand Information Sharing In ASupply Chain[J].Economic Management,2007,15(1):32-46.
    [27]Chow G,Anloh L.Accounting For Economic Growth In Taiwan And Main-LandChina:A Comparative Analysis[J].Journal Of Comparative Economics,2002,30(3):507-530.
    [28]Chung-Chi Hsieh,Cheng-Han Wu.Coordinated Decisions For Substitutable Products InA Common Retailer Supply Chain[J].European Journal Of Operational Research,2009,196(1):273-288.
    [29]Coelli,T.A Guide To DEAP Version2.1:A Data Envelopment Analysis (Computer)Program[J].Center For Efficiency And Productivity Analysis (CEAP) Working Paper,96(08).
    [30]Craig C E, Harris R C.Total Productivity Measurement At The Firm Level[J].SloanManagement Review,1973,14(3):13-29.
    [31]Danison E F.Why Growth Rates Differ:Post-War Experience In Nine WesternCountries[J].Washington Brookings Institution,1967.
    [32]Davis Hiram S.Productivity Accounting[M].University Of Pennsylvania Press,1955
    [33]Doms,M. E.,Jarmin,R. S. And Klimek,S. D.,Information Technology Investment AndFirm Performance In US Retail Trade[J].Economics Of Innovation And New Technology,2004,13(3):67-75.
    [34]Fare R, Grosskopf S, Norris M, Zhang Z.Productivity Growth, Technical Progress AndEfficiency Change In Industrialized Countries[J].American Economic Review,1994,84:66-83.
    [35]Farrell M J.The Measurement Of Production Efficiency[J].Journal Of Royal StatisticalSociety, Series A,General,1957,120(3):253-281.
    [36]Fernandes A.M.Structure And Performance Of The Service Sector In TransitionEconomies[J].Economics Of Transition,2009,17(3):467-501.
    [37]Foster,L.,Haltiwanger,J.And Krizan,C.J.,Market Selection,Reallocation AndRestructuring In The US Retail Trade Sector In The1990s[J].Review Of Economics AndStatistics,2006,88(4):112-134.
    [38]GAAITZEN J. DE VRIES, Small Retailers In Brazil: Are Formal Firms Really MoreProductive?[J]. Journal Of Development Studies,2010,9:1345-1366
    [39]Geyskens Inge,Steenkamp Jan-Benedict E.M.Economic And Social Satisfaction:Measurement And Relevance To Marketing Channel Relationships[J].Jouranal OfRetailing,2000,76(1):11-32.
    [40]Good, W.S.,Productivity In The Retail Grocery Trade[J].Journal Of Retailing,1984,60:81-97.
    [41]Gordon,R.Productivity In The Transportation Sector[R].NBER Working Paper,1993
    [42]Gouyette Claudine,Sergio Perelman.Productivity Convergence In OECD ServiceIndustries[J].Structure Change And Economic Dynamics,1997,8:279-295.
    [43]Higon,D.A.,Bozkurt,O.,Clegg,J.Grugulis,I.,Salis,S.,Vasilakos,N. And Williams,A. M.,The Determinants Of Retail Productivity: A Critical Review Of The Evidence[J].Internationaljournal Of Management Reviews,2010,12(2):45-67.
    [44]Huangy., Meng X.China’s Indusrial Growth And Efficiency:A Comparison BetweenThe State And TVE Sectors[J].Journal Of The Asia Pacific Economy,1999,2(1):101-121.
    [45]Ingene, Charles A.Labor Productivity In Retailing[J].Journal Of Marketing,1982,46(4):75-90.
    [46]Ingene,C. A., Labor Productivity In Retailing [J]. Journal Of Marketing,1982,46(2).
    [47]Jan Van Dalen,Johan Koerts,A. Roy Thurik.The Measurement Of Labour ProductivityIn Wholesaling[J]. International Journal Of Research In Marketing,1990,7(1):21-34.
    [48]Jefferson G. H., Rawski T. G., Zheng Y.Chinese Industrial Productivity:Trends,Measurement Issues And Recent Developments[J].Journal Of Comparative Economics,1996,23(2):146-180.
    [49]Jochen Hartwig,Productivity Growth In Service Industries: Are The TransatlanticDifferences Measurement-Driven?[J].Review Of Income And Wealth,2008,9:494-505.
    [50]Jondrow J, C A K Lovell, I S Materov,P Schmidt.On The Estimation Of TechnicalInefficiency In The Stochastic Frontier Production Function Model[J].Journal OfEconometrics,1982,19:233-238.
    [51]Johnson Jean L,strategic integration in industrial distribution channels[J].Journal ofAcademy of Marketing Science,1999,27:4-18.
    [52]Jorgenson,Dale W., Zvi Grillches.The Explanation Of Productivity Change[J].ReviewOf Economic Studies,1967,34:249-283.
    [53]Jorgenson,Dale.Productivity,Volume1:Postwar U.S.Economic Growth [M].MIT Press,Cambridge,MA,1995.
    [54]K. Baby&C.A Visalakshi, Foreign Direct Investment And Retailing In India-IssuesAnd Concerns[J]. International Journal Of Research In Commerce,2012,2:108-113.
    [55]Kalirajan K P, Obwona M B, Zhao S.A Decomposition Of Total Factor ProductivityGrowth:The Case Of China’s Agricultural Growth Before And After Reform[J].AmericanJournal Of Agriculturaleconomics,1996,78(2):331-338.
    [56]Kartinah Ayupp And William Kong. The Impact Of Task And OutcomeInterdependence And Self-Efficacy On Employees’ Work Motivation: An Analysis Of TheMalaysian Retail Industry[J]. Asiapacific Business Review,2010,1:123-142.
    [57]Konopa, Leonard J.An Analysis Of Some Changes In Retailing Productivity Between1948And1963[J].Journal Of Retailing,1968,44(3):57-67.
    [58]Kumbhakar SC.Production Frontiers, Panel Data And Time-Varying TechnicalInefficiency[J].Journal Of Econometrics,1990,46:201-211.
    [59]Lai Ngun Sun, Robert Kay. Development Of A Retail Life Cycle: The Case Of HongKong’s Department Store Industry [J]. Asia Pacific Business Review,2009,1:107–121.
    [60]Liu Yang,Wu Yu Hua.Empirical analysis on TFP change in Chinese logisticsindustry:A nonparametric Malmquist index approach [J]. Chinese BusinessReview,2007,6(4):35-40.
    [61]Lambert D.K., E.Parker.Productivity In Chinese Provincial Agriculture[J].Journal OfAgricultural Economics,1998,49(3):378-392.
    [62]Liu Z.The Comparative Performance Of Public And Private Enterprises[J].Journal OfTransportation Economics And Policy,1995,9:263-274.
    [63]Lucas R.On The Mechanics Of Economic Development[J].Journal Of MonetaryEconomics,1988,22:3-42.
    [64]Mankiw N G, Romer D, Weil D N.A Contribution To The Empirics Of EconomicGrowth[J].The Quarterly Journal Of Economics,1992(107):407-437.
    [65]Maudos J,Pastor J Manuel,Swrrano L.Human Capital In OECD Countries:TechnicalChange,Efficiency And Productivity[J].International Review Of Applied Economics,2003(10):419-435.
    [66]Meeusen W, J Van Den Broeck.Efficiency Estimation From Cobb-Douglas ProductionFunctions With Composed Error[J].International Economic Review,1977,18(2):435-444.
    [67]Min H.,Joo S.J.Benchmarking The Operational Efficiency Of Third Party LogisticsProviders Using Data Envelopment Analysis[J].Supply Chain Management,2006,11(3):259-265.
    [68]Mitsuru Sunada,Measuring The Cost Of Living Index, Output Growth, AndProductivity Growth In The Retail Industry: An Application To Japan [J]. Review OfIncome And Wealth,2010,12:667-692.
    [69]Moreno, Justo De Jorge. Productivity Growth, Technical Progress And EfficiencyChange In Spanish Retail Trade (1995-2004): A Disaggregated Sectoral Analysis[J].International Review Of retail, Distribution&Consumer Research,2008,18(1):87-103.
    [70]Nicholas Oulton.Must The Growth Rate Decline?Baumol’s Unblanced GrowthRevisited[R].Bank Of England,1999.
    [71]Nishimizu M, Page J M.Total Factor Productivity Growth, Technological Progress AndTechnicalEfficiency Change:Dimensions Of Productivity Change In Yugoslavia,1965-78[J].Economic Journal,1982,92:920-936.
    [72]Oum,T.,M. Tretheway,W. Waters.Concepts, Methods And Purposes Of ProductivityMeasurement In Transportation[J].Transportation Research Part A:Policy And Practice,1992,26(6):493-505.
    [73]Peccei,R. And Rosenthal,P.,Delivering Customer-Oriented Behavior Through Em-powerment:An Empirical Test Of HRM Assumptions [J]. Journal Of Management Studies,2001,38(6):89-102.
    [74]Ratchford,B. T. And Brown J. R.,A Study Of Productivity Changes In FoodRetailing[J]. Marketing Science,1985,4(3):101-119.
    [75]Reifschnieder D, Stevenson R.Systematic Departures Form The Frontier:A FrameworkFor TheAnalysis Of Firm Inefficiency[J].International Economic Review,1991,32:715-723.
    [76]Renuka Mahadevan.Sources Of Output Growth In Singapore’s Services Sector[J].Empirical Economics,2000,25:495-506.
    [77]Richard B. Freeman, Alice O. Nakamura, Wal-Mart Innovation And Productivity:AViewpoint[J].Canadian Economics Association,2011,5:486-508.
    [78]Romer P M. Increasing Returns And Long-Run Growth[J].Journal Of PoliticalEconomy,1986,94(5):1002-1037.
    [79]Rubio,R. S. And Ruiz,F. M.: An Empirical Analysis Of Productivity Growth In RetailServices: Evidence From Spain[J]. International Journal Of Service Industry Management,2007,18(10):13-43.
    [80]Ruttan V.W.Can Economic Growth Be Sustained?A Post-Malthusian Perspective[J].Population And Development Review,2002,28(1):1-12.
    [81]Samuelson P A, Nordhaus W D.Economics[M].Mcgraw-Hill,1992.
    [82]Schmidt P, Sickles R E.Production Frontiers And Panel Data[J].Journal Of BusinessAnd Economic Statistics,1984,2:367-374.
    [83]Seller-Rubio R,Mas-Ruiz F.An Empirical Analysis Of Productivity Growth In RetailService:Evidence From Spain[J].International Journal Of Service Industry Management,2007,18(1):52-69.
    [84]Solow R M.A Contribution To The Theory Of Economic Growth[J].Quarterly JournalOf Economics,1956,70:65-94.
    [85]Solow R M.Techanical Change And The Aggregate Production Function[J].Review OfEconomics And Statistics,1957,39(3):154-155.
    [86]Solow R.M. Technical Change And The Aggregate Production Function [J].Review OfEconomics And Statistics,1957(39).
    [87]Stoops,G. T.,A Model And Measurement Approach For Studying Retail Productivity[J].Journal Of Retailing,1988,64(3):87-99.
    [88]Tanskanen.Kari.Vendor Managed Category Management—An Outsourcing Solution InRetailing[J].Journal Of Purchasing And Supply Management,2003(4):165-175.
    [89]Thomas, R.R., Barr, R.S., Cron, W.L., Slocum, J.A Process For Evaluating Retail StoreEfficiency:A Restricted DEA Approach[J].International Journal Of Research In Marketing,1998,15:4-18.
    [90]Tongzon J.Efficiency Measurement Of Selected Australian And Other InternationalPorts Using Data Envelopment Analysis[J].Transportation Research Part A,2001,35:113-128.
    [91]Triplett A.E.,Barry P.B.“Bamoul’s Disease” Has Been Cured:It And MultifactorProductivity In U.S Services Industries[C].Prepared For The Texas A&M Conference,2002.
    [92]Triplett J.Economics Statistics, The New Economy, And The Productivity SlowDown[R].Brookings Institution Working Paper,1999.
    [93]Vasanthakumar N. Bhat, Productivity In The Retail Industry:Does Insider OwnershipOf Shares Matter?[J]. Applied Financial Economics Letters,2008,4:121–125.
    [94]Villiamson,O.E.,A resource-based view of the firm[]Strategic ManagementJournal,1984,12(5):89-96.
    [95]Wang Yan,Yudong Yao.Sources Of China’s Economic Growth,1952-1999: Incor-porating Human Capital Accumulation[R].World Bank Working Paper,2001.
    [96]Wolfl A.Productivity Growth In Service Industries And Assessment Of Recent PatternsAnd The Role Of Measurement[R].STI Working Paper,2003.
    [97]Wu Yanrui.Is China’s Economic Growth Sustainable? A Productivity Analysis[J].China Economic Review,2000(11):278-296.
    [98]Young A.Gold Into Base Metals:Productivity Growth In The People’s Republic OfChina During The Reform Period[J].The Journal Of Political Economy,2000(111):1220-1261.
    [99]Young A.The Razor’s Edge:Distortions And Incremental Reform In The PeopleRepublic Of China[J]Quarterly Journal Of Economics,2000,115(4):1091-1135.
    [100]Zhou G.,Min H.,Xu C.,Cao Z.Evaluating The Comparative Efficiency Of ChineseThird-Party Logistics Providers Using Data Envelopment Analysis[J].International JournalOf Physical Distribution&Logistics Management,2008,38(4):262-279.
    [101]布鲁诺·兰纳,提高零售效率的方法[N]中华合作时报2013年2月22日.
    [102]曹跃群,唐静.第三产业全要素生产率增长及其收敛性分析[J].山西财经大学学报,2010(6):52-58.
    [103]陈丰龙,徐康宁.本土市场规模与我国制造业全要素生产率[J]我国工业经济,2012(5):44-56.
    [104]陈己寰.零售学[M].暨南大学出版社,2003.
    [105]陈奕奕,刘成昆.我国零售业公司价值特征影响因素研究[J].商业经济与管理,2013(1):5-13.
    [106]崔婧.苏宁探路O2O模式[J].我国经济和信息化2013(1):58-60.
    [107]丁俊发.流通创新驱动的十大对策[J].我国流通经济,2013(2):12-15.
    [108]丁俊发.流通经济学概论[M].北京:我国人民大学出版社,2012.
    [109]丁宁、周经、丁华.流通创新与制造业全要素生产率提升[J]经济问题探索,2013(7):61-66.
    [110]董承华,刘国辉.信息技术提升流通业效率的路径研究[J].北京工商大学学报,2013(3):31-34
    [111]杜丹清.现代流通产业经济学[M].杭州:浙江工商大学出版社,2008.
    [112]杜昕然,中美两国零售百强比较分析[J].北京工商大学学报,2012(1):29-33
    [113]段永瑞.数据包络分析[M].上海:上海科学普及出版社,2006.
    [114]樊秀峰,王美霞,我国零售企业经营效率评价与微观影响因素分析——基于22家百强零售上市公司的实证[J].西北大学学报,2011(5):26-31
    [115]方虹,冯哲,彭博,我国零售上市公司技术进步的实证分析[J].我国零售研究,2009(1):57-66
    [116]傅晓霞,吴利学.技术效率、资本深化与地区差异——基于随机前沿模型的我国地区收敛分析[J].经济研究,2006(10):55-56.
    [117]高丽丽,夏洪胜,基于DEA模型的计算机应用服务业上市公司效率的实证分析[J].科技管理研究,2012(10):132-135
    [118]谷彬.我国服务业技术效率测算与影响因素实证研究——来自历史数据修订的史实证据[J].统计研究,2009(8):63-70.
    [119]顾国建等.超级市场零售管理[M].上海,立信会计出版社,2000.
    [120]顾乃华,李江帆.我国服务业技术效率区域差异的实证分析[J].经济研究,2006(1):46-56.
    [121]顾乃华.1992—2002年我国服务业增长效率的实证分析[J].财贸经济,2005(4):85-90.
    [122]顾乃华.我国服务业、工业增长效率对比及其政策内涵[J].财贸经济,2006(7):3-9.
    [123]顾乃华.我国服务业发展的效率特征及其影响因素——基于DEA方法的实证研究[J].财贸研究,2008(4):60-67.
    [124]郭冬乐,宋则,王诚庆,冯雷.商业经济学[M].北京:经济科学出版社,1999.
    [125]郭立宏,张武康,基于DEA模型的我国百货零售上市公司效率及生产率研究[J].西安理工大学学报,2011(1):121-125
    [126]郭娜,以超市为零售终端的生鲜蔬菜流通渠道效率[J].我国流通经济,2013(1):17-21
    [127]郭庆旺,贾俊雪.我国全要素生产率的估算:1979—2004[J].经济研究,2005(6):51-60.
    [128]韩清,朱平芳,郭蓉,企业技术效率的影响分析[J].统计研究,2011(10):65-75
    [129]韩晓燕,翟印礼.我国农业生产率的地区差异与收敛性研究[J].农业技术经济,2005(6):52-57.
    [130]何德旭,姚战琪.加快发展现代服务业的几个问题[J].财贸经济,2008(5):5-10.
    [131]赫伯特·C·格鲁伯,迈克尔·A·沃克.《服务业的增长:原因与影响》[M].上海:上海三联书店,1993.
    [132]洪涛.2012-2013年我国流通业回顾与展望[J].我国市场,2013(7):67-71
    [133]洪涛.流通产业经济学[M].北京:经济管理出版社,2007.
    [134]洪涛.流通基础产业论[M].北京:经济管理出版社,2004.
    [135]胡鞍钢,刘生龙.交通运输、经济增长及溢出效应——基于我国省际数据空间经济计量的结果[J].我国工业经济,2009(5):5-14.
    [136]黄国雄.流通新论[J].商业时代,2003(4):13-14.
    [137]霍杰.服务业自由化对制造业全要素生产率的影响[J]商业研究,2012(8):108-113.
    [138]江小涓,李辉.服务业与我国经济:相关性和加快增长的潜力[J].经济研究,2004(1):4-15.
    [139]蒋萍,谷彬.我国服务业TFP增长率分解与效率演进[J].数量经济技术经济研究,2009(8):44-56.
    [140]荆林波,我国流通业效率实证分析和创新方向[J].我国流通经济,2013(1):13-17
    [141]雷蕾.零售业上市公司全要素生产率增长的实证研究[J]北京工商大学学报,2013年(6):20-26.
    [142]李飞,王高.我国零售业发展历程[M].北京:社会科学文献出版社,2006.
    [143]李飞.我国流通业变革关键问题研究[M].北京:经济科学出版社,2012.
    [144]柳思维、高觉民.贸易经济学[M].北京:高等教育出版社,2010.
    [145]李敬泉.日本超市业发展机制探讨[J].我国流通经济,2013(1):28-33.
    [146]李骏阳,余鹏.对我国流通效率的实证分析[J].商业经济与管理,2009(11):14-20.
    [147]林文益.贸易经济学[M].北京:我国财政经济出版社,1995.
    [148]刘秉镰,余泳泽.我国物流业地区间效率差异及其影响因素实证研究——基于数据包络分析模型及托宾模型的分析[J].我国流通经济,2010(9):18-21.
    [149]刘苏,万涛等.我国批发零售业宏观营销效率因子分析[J].统计与决策,2013(5):61-63
    [150]刘向东,张小军,石明明.我国流通产业增长方式的转型——基于流通增长方式转换模型的实证分析[J].管理世界,2009(2):167-169.
    [151]刘兴凯,张诚.我国服务业全要素生产率增长及其收敛分析[J].数量经济技术经济研究,2010(3):55-67.
    [152]刘兴凯.我国服务业全要素生产率阶段性及区域性变动特点分析——基于1978-2007年省际面板数据的研究[J].当代财经,2009(12):80-87.
    [153]刘易斯.经济增长理论[M].上海:上海人民出版社,1997.
    [154]刘勇,汪旭晖.对全国30个地区零售行业效率的分析[J].统计与决策,2007(9):75-77.
    [155]刘子峰.论流通产业的战略性地位[J].财贸研究,2005(2):39-45.
    [156]吕叔春.复制沃尔玛[M].北京:金城出版社,2011.
    [157]吕延方,王冬.承接外包对我国制造业全要素生产率的影响[J]数量经济技术经济研究,2010(11):66-83.
    [158]吕玉明,吕庆华,中美网络零售业比较与我国网络零售业发展路径研究[J].宏观经济研究,2013(4):100-106.
    [159]马克思.资本论,第一卷[M].北京:人民出版社,1975.
    [160]马龙龙.流通产业政策[M].北京:清华大学出版社,2005.
    [161]马龙龙.生产性服务业与地区经济增长[J].经济理论与经济管理,2011(4):55-63.
    [162]马龙龙.论城乡一体化进程中市场体系建设[J].价格理论与实践,2010(11):22-24.
    [163]冉净斐,文启湘.流通战略产业论[J].商业经济与管理,2005(6):10-19.
    [164]宋则,常东亮,丁宁.流通业影响力与制造业结构调整[J].我国工业经济,2010(8):5-14.
    [165]宋则.流通产业地位和效能需要重新看[J].我国经贸导刊,2003(19):37-42.
    [166]孙文经,河北省零售业全要素生产率实证研究[D].河北大学硕士学位论文,2013.
    [167]孙晓华,王呁、郑辉. R&D溢出对我国制造业全要素生产率的影响——基于产业间、国际贸易和FDI三种溢出渠道的实证检验[J]南开经济研究,2012(5):18-35.
    [168]覃一冬、屈炜怡.知识外溢与我国制造业全要素生产率———基于DEA的经验分析[J]中央财经大学学报,2013(4):56-62.
    [169]田刚,李南.我国物流业技术进步与技术效率研究[J].数量经济技术经济研究,2009(2):76-87.
    [170]田泽勇、江可申.我国制造业全要素生产率增长的差异化路径分析[J]统计与决策,2013(24):59-61.
    [171]汪小勤,姜涛.基于农业公共投资视角的我国农业技术效率分析[J].我国农村经济,2009(5):79-86.
    [172]汪旭晖,徐健.服务效率、区域差异与影响因素:零售业上市公司证据[J].改革,2009(1):97-104.
    [173]汪旭晖,徐健.基于超效率CCR-DEA模型的我国物流上市公司效率评价[J].财贸研究,2009(6):117-124.
    [174]王俊.流通业对制造业效率的影响——基于我国省级面板数据的实证研究[J].经济学家,2011(1):70-77.
    [175]王珂.辽宁省零售业发展水平综合评价[D].辽宁大学硕士学位论文,2013.
    [176]王丽敏.我国传统零售业的电子商务应用研究[J].对外经贸,2013(6):65-67.
    [177]王先庆,房永辉.流通业成为“先导性产业”的约束条件和成长机制[J].广东商学院学报,2007(6):25-29.
    [178]王小鲁,樊纲,刘鹏.我国经济增长方式转换和增长可持续性[J].经济研究,2009(1):4-16.
    [179]王志刚,龚六堂,陈玉宇.地区间生产效率与全要素生产率增长分解(1978-2003)[J].我国社会科学,2006(2):55-66.
    [180]卫海英,骆紫薇,现代服务业技术效率区域差异的实证分析[J].商业经济与管理,2012(1):73-84.
    [181]吴国华.提高流通效率是个系统工程[J].我国连锁,2013(5):12-13.
    [182]夏春玉.现代商品流通:理论与政策[M].大连:东北财经大学出版社,1998.
    [183]肖怡.零售学[M].北京,高等教育出版社,2003.4.
    [184]谢千里,罗斯基,张轶凡.我国工业生产率的增长与收敛[J].经济学(季刊),2008,7(3):809-826.
    [185]徐宏毅,欧阳明德.我国服务业生产率的实证研究[J].工业工程与管理,2004(5):73-76.
    [186]徐宏毅.服务业生产率与服务业经济增长研究[D].华中科技大学博士学位论文,2004.
    [187]颜鹏飞,王兵.技术效率、技术进步与生产率增长——基于DEA的实证分析[J].经济研究,2004(12):55-65.
    [188]杨波.我国零售业上市公司经营效率评价与分析[J].山西财经大学学报,2012(1):52-61.
    [189]杨青青,苏秦,尹琳琳.我国服务业生产率及其影响因素分析——基于随机前沿生产函数的实证研究[J].数量经济技术经济研究,2009(12):46-57.
    [190]杨向阳,徐翔.我国服务业全要素生产率增长的实证分析[J].经济学家,2006(3):68-76.
    [191]叶振宇、叶素云.东北地区制造业生产率变动分析:1993-2007[J]财经问题研究,2010(5):30-35.
    [192]尤建新,陈江宁.基于DEA方法的零售企业经营效率的分析[J].上海管理科学,2007(3):17-19.
    [193]余泳泽,武鹏.我国物流产业效率及其影响因素的实证研究——基于我国省际数据的随机前沿生产函数分析[J].产业经济研究,2010(1):65-71.
    [194]原毅军,刘浩,白楠.我国生产性服务业全要素生产率测度——基于非参数Malmquist指数方法的研究[J].我国软科学,2009(1):159-167.
    [195]曾霁朗,电商贴身紧逼,实体零售业路向何方[N].我国商报,2013(3).
    [196]张军,吴桂英,张吉鹏.我国省际物质资本存量估算:1952—2000[J].经济研究,2004(10):35-44.
    [197]张绪昌,丁俊发.流通经济学[M].北京:人民出版社,1995.
    [198]张自然.我国生产性服务业TFP变动分解[J].贵州财经学院学报,2008(2):34-39.
    [199]张自然.我国生产性服务业的技术进步研究——基于随机前沿分析法[J].贵州财经学院学报,2010(2):35-41.
    [200]赵凯,宋则.商贸流通服务业影响力及作用机理研究[J].财贸经济,2009(1):102-108.
    [201]赵萍.我国流通服务业影响力实证研究[J].商业经济与管理,2007(8):15-19.
    [202]我国社会科学院课题组.商贸流通服务业影响力实证分析[J].我国流通经济,2008(3):9-12.
    [203]我国社会科学院课题组.商贸流通服务业影响力政策分析[J].我国流通经济,2008(4):11-14.
    [204]周凌云,顾为东,张萍.新时期加快推进我国流通业现代化的战略思考[J].宏观经济研究,2013(9):32-38.
    [205]朱钟棣,李小平.我国工业行业资本形成、全要素生产率变动及其趋异化:基于分行业面板数据的研究[J].世界经济,2005(9):51-62.
    [206]庄尚文,王永培.商品流通结构、效率与制造业增长[J].北京工商大学学报(社会科学版),2008(11):11-18.
    [207]庄玉良,吴会娟,贺超.我国物流业效率动态变化的Malmquist指数研究[J].统计与决策,2009(5):21-23.
    [208]祝合良.现代商业经济学[M].北京:首都经济贸易大学出版社,2008.
    [209]祝合良.战略品牌管理[M].北京:首都经济贸易大学出版社,2013.
    [210]王稼琼,祝合良.城乡一体化与商品流通体系建设[M].北京:经济管理出版社,2012.
    [211]祝合良.品牌创建与管理[M].北京:首都经济贸易大学出版社,2007.
    [212]祝合良.流通产业理论与实践[M].北京:我国经济出版社,2006.
    [213]祝合良.新世纪提高我国零售企业竞争力的基本思路[J].经济与管理研究,2005(4):68-71.
    [214]祝合良.对我国商贸流通企业创建品牌的几点思考[J].我国流通经济,2009(2):39-42.
    [215]祝合良.我国商贸流通业自主品牌培育发展思路[J].我国流通经济,2011(8):97-101.
    [216]祝合良,李晓慧.扩大内需与我国流通结构调整的基本思路[J].商业经济与管理,2011(12):5-11.

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