用户名: 密码: 验证码:
我国文化产业发展及其路径选择研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
“建设社会主义文化强国,增强国家文化软实力”,“把文化产业培育成为国民经济支柱性产业”,是党的十七届六中全会和“十八大”确立的战略目标。进入21世纪以来,我国文化产业迅速发展,文化产业在扩大消费、拉动内需、调整结构、促进增长方面作用突显。2012年,我国文化产业法人单位实现增加值18071亿元,按现价计算,比上年增长16.5%,比同期现价GDP增速高6.8个百分点。尽管文化产业发展迅速,一大批有竞争力和影响力的文化企业和企业集团不断发展壮大,但是由于我国文化产业基础薄弱,在文化产业结构方面还存在供求矛盾,文化产业的结构、布局、资源配置还不合理,文化产业效率不高,区域间的发展不平衡,还没有建立起文化产业协同运作的体系。目前我国文化产业的规模与结构如何,文化产业的产业关联效应和波及效应如何,文化产业的效率怎样,影响文化产业发展的因素有哪些,如何选择文化产业发展路径,这些都成为政府、企业和学界关注的问题。
     本文依据相关理论,利用大量统计数据,对我国文化产业的规模、结构和发展特征等进行了系统分析,揭示了我国文化产业内部结构的变化规律和特点;利用投入产出模型对文化产业中的文化制造业和文化服务业两大类细分行业的产业关联效应、波及效应与拉动效应进行了动态分析,揭示了文化产业在国民经济中的地位与作用;利用三阶段数据包络分析方法(DEA)和DEA-Malmquist指数方法,分别对我国文化产业效率进行了静态和动态分析,揭示了我国文化产业效率所处水平;利用面板数据模型(Panel Data),对全国及三大区域文化产业发展影响因素进行了研究,揭示了文化产业影响因素的区域差异。根据以上分析提出了文化产业发展路径,为政府制定相应的政策提供重要的理论参考。
     本文共分7章,具体内容如下:
     第1章绪论。本章首先介绍了全文的研究背景与研究意义,然后对文化产业的产业关联、产业发展、产业政策和产业效率在国内外的研究进展综述,最后介绍了本文的研究框架、主要内容和研究方法。
     第2章文化产业及其相关理论。本章首先界定了文化产业的定义,阐述了文化产业的分类方法。然后介绍了文化产业的相关理论,包括产业组织、产业结构、产业关联、产业效率的理论和消费理论。
     第3章我国文化产业的总量规模与结构布局。首先是从文化产业的总量规模、机构规模、从业人员规模和投资规模方面分析我国文化产业发展情况,然后从文化产业产值结构、行业结构、国际贸易结构、城乡结构和文化消费的区域结构分析了我国文化产业结构与布局。最后是我国文化产业与发达国家的比较研究,主要分析了美国、英国、日本、韩国与我国文化产业的特点和发展状况,指出我国文化产业的差距。
     第4章我国文化产业的关联拉动效应分析。本章利用2002、2007年的投入产出表和2010年投入产出延长表,对文化产业的产业关联进行动态的分析,共分两大部分。一部分是我国文化产业的产业关联效应分析。首先,通过测算直接消耗系数,分析文化产业及细分行业与其他产业的直接依存度,结果显示:传统产业对文化产业的依赖性不强,文化产业在经济增长和经济结构调整方面的直接作用不大,文化服务业的发展直接依赖文化制造业的发展,文化产业内部细分行业间的直接消耗较大。其次,通过测算完全消耗系数,分析文化产业及细分行业与其他产业的完全依存度,结果显示:我国其他产业对文化产业的依赖性和带动性较低,文化、办公用机械制造业和家用视听设备制造业通过整个国民经济系统对第二产业的带动性最强。最后,通过测算中间投入率和中间需求率,分析文化产业及细分行业中间使用状况,结果显示:我国的文化制造业属于“高中间投入、低附加值”行业,对其他产业的带动作用较强。造纸及纸制品业、印刷业和记录媒介的复制业与涂料、油墨、颜料及类似产品制造业的中间需求率较大,对其他产业的发展起着制约和决定作用。文化服务业属于“低中间投入、高附加值”行业,对其他产业带动作用不强。另一部分是我国文化产业的产业波及效应分析。首先,通过测算影响力系数和感应度系数,分别分析文化产业及细分行业对其他产业的波及程度和文化产业及细分行业受其他产业的波及程度,结果显示:文化制造业通过产业链对其他产业部门的波及拉动作用较大,特别是文化办公用机械制造业、涂料油墨颜料及类似产品制造业和家电视听设备制造业的拉动作用较大,文化产业受其他产业发展的带动作用不大。其次,通过测算生产诱发系数和依存度系数,分别分析最终需求项目对文化产业及细分行业的生产诱导作用和文化产业及细分行业的生产对最终需求项目的依赖程度,结果显示:消费需求对文化产业的影响作用较大且不断增强,投资对大部分文化产业细分行业发展的拉动作用较强,出口对文化产业的拉动作用不强。旅游业、文化艺术和广播电影电视业对消费的依存度最大,多数细分行业对投资和出口的依赖程度有所增大。
     第5章我国文化产业效率研究。本文主要从静态和动态的角度对我国文化产业效率进行分析。首先是我国文化产业效率的静态分析。本节采用三阶段DEA模型,以31个省市作为决策单元,选取教育水平、科技水平和集聚水平三个环境变量,文化产业劳动力和资产作为投入变量,以文化产业增加值为产出变量,分析了2012年我国文化产业效率状况,研究结果显示:我国文化产业综合技术效率均值为0.625,纯技术效率均值为0.677,规模效率均值为0.925,表明我国文化产业经营管理水平不高是我国文化产业效率提高的瓶颈。上海市文化产业的三项效率值调整前后都为1,达到有效的生产前沿面,文化产业的决策与管理水平和发展规模都处于国内领先地位。从区域角度来看,我国文化产业效率存在明显的地域差异,即东部最优,中部次之,西部最差。然后是我国文化产业效率的动态分析。本节采用三阶段DEA-Malmquist指数对2008年至2012年文化产业效率进行动态比较分析,研究表明:我国文化产业效率整体呈上升趋势,年平均增长率为1.8%。但技术进步水平偏低,多数省市文化产业的技术进步对文化产业效率提升的作用不显著。在我国文化产业发展过程中,纯技术效率在文化产业效率提高的过程中没有发挥应有的作用,规模效率对文化产业整体效率提升的促进作用高于纯技术效率的促进作用,文化企业的管理水平不能满足文化产业规模壮大发展的需要。
     第6章我国文化产业发展的影响因素分析。本章主要包括两个部分,第一部分是对影响我国文化产业发展的因素进行了分析,通过建立面板数据模型,对2004年至2012年全国及东、中、西三大区域文化产业发展影响因素进行计量研究,结果表明:文化消费需求、政府扶持和文化产业投资三项因素均与我国文化产业发展呈正相关关系。从全国来看,对文化产业发展的拉动效应从高到低依次是文化消费需求、政府扶持和文化产业投资;东部、中部地区影响文化产业发展的首要因素是文化消费需求,并且东部地区文化消费需求对文化产业发展的影响作用大于中部地区;影响西部地区文化产业发展的首要因素是文化产业投资。第二部分是对影响区域文化消费差异的因素做进一步分析,同样采用面板数据模型,对2004年至2012年的全国及东、中、西三大区域文化消费影响因素进行计量研究,结果显示:全国和东西部地区城镇居民人均可支配收入对文化消费呈正向影响,是影响文化消费的主要因素,中部地区城镇居民人均可支配收入对文化消费呈反向影响,中部地区的文化消费潜力没有释放;无论是全国还是东中西部地区价格对文化消费的影响回归系数的绝对值均大于1,说明文化产品是富有弹性的商品;城镇居民的受教育程度对居民的文化消费有一定的影响但影响作用并不显著;城镇化水平的提高将有效促进城镇居民的文化消费水平提高,对中部地区影响最大,其次是西部地区,最后是东部地区。第三部分是考虑空间因素作用的情况下,对文化消费影响因素的省际差异做进一步分析。根据空间面板数据模型估计结果可知,人均可支配收入、文化消费价格、居民受教育程度、城镇化水平对城镇居民文化消费的空间溢出效应分别为0.1264、-1.7601、0.3908和-0.0363,其中文化消费价格通过了5%显著性水平检验,居民受教育程度通过了1%显著性水平检验,文化消费价格的空间溢出效应最大。综合可以发现,文化消费价格对全国城镇居民人均文化消费水平影响最大且对相邻地区城镇居民人均文化消费水平的负向溢出效应显著。
     第7章我国文化产业发展路径选择。本章根据文化产业发展特征和内部结构,文化产业及细分行业与相关产业的关联、波及关系,文化产业效率以及文化产业的影响因素,提出我国文化产业可行性的发展路径,主要有:注重产业关联,推动文化制造业与文化服务业协调发展;加强文化企业经营管理,提高文化产业效率;扩大文化消费,拉动文化产业发展;加强融资渠道建设,提高文化产业投资规模;加强政策引导扶持,创造良好的政策环境;调整文化产业结构,优化文化产业布局;促进文化与科技融合,发展新型文化业态;利用比较优势,实现区域文化产业差异化发展。
“The construction of socialist cultural power, enhance the national cultural softpower”,“The cultural industry be cultivated to the pillar industry of the nationaleconomy", is the Party’s sixth plenary session of the17th and18th CPC NationalCongress’s strategic objectives established. Since twenty-first century, the culturalindustry has been developed rapidly in our country, especially in expandingconsumption, stimulating domestic demand, adjusting structure and promotinggrowth. In2012, China's cultural industry added value of corporate units is1.8071trillion yuan, at current prices, an increase of16.5%over the previous year, higherthan the price GDP growth rate of6.8percentage points over the same period.Despite the rapid development of the cultural industry, there are a large number ofcompetitive and influential cultural enterprises and enterprise groups continue togrow, However, due to the weak foundation of China's cultural industry, culturalindustry still exist contradiction between supply and demand in terms of industrialstructure, irrational the layout of the cultural industry and allocation of resources,cultural industry efficiency is not high, the development of inter-regional imbalances,the cultural industry has not yet established cooperative operation system. At present,want are the size and structure for our cultural industry, how are the industryassociation and spread effect of cultural industry, how is the efficiency of culturalindustry, how are the factors affecting the development of cultural industry oncultural industry, how to choose the path of development of cultural industry, all ofthese issues have become attention to government, enterprises and academic area.
     Based on the relative theories, we used statistical data to analyze the industry scale, structure and characteristics of industrial development of cultural industrysystematically, revealed the regularity and characteristics of internal structure ofcultural industry in China. We used input-output model to dynamic analysis of theindustry association, industry spread effect and pull effect of cultural industry andthe subdivided industries of cultural manufacture and cultural service, revealed thestatus and function of culture industry. We used the method of three stage dataenvelopment analysis (DEA) and DEA-Malmquist index to static analysis anddynamic analysis of the efficiency of cultural industry, revealed the level of theefficiency of China's cultural industry. We used panel data model to study onnational and three regional cultural industry’s development factors, and analyze themain factors that affected the cultural consumption, reveals the cultural industryinfluence factors of the regional difference. We proposed the development path ofculture industry in China, provided theoretical references for the government toestablish the corresponding policy.
     This paper is divided into seven chapters, specific content as follows:
     Chapter1Introduction. Firstly, we introduced the background and significanceof the research, Secondly, reviewed research status of the cultural industryassociation, industrial development, industrial policy and industrial efficiencydomestic and abroad. Finally, introduces the framework of this study, the maincontent and research methods.
     Chapter2Cultural industry and related theory. This chapter first defined thedefinition of the cultural industry and the cultural industry classification, thenintroduced the theories of cultural industry, including industrial organization,industrial structure, industry association and industrial efficiency, is the theoreticalbasis of the article.
     Chapter3The total scale and structure of China's cultural industry. Firstly wefrom the aspect of the scale of gross, organization, employees and investment to analysis of China's cultural industry development scale case, then from the aspect ofthe output structure of cultural industry, the constitute proportion of culturalmanufacture and cultural service, industry structure, international trade structure,urban and rural structure, cultural consumption structure to analysis of China'scultural industry structure and layout. Finally, comparative studied of China and thedeveloped countries' cultural industry, mainly analyzed the characteristics anddevelopment of the United States, Britain, Japan, South Korea and China's culturalindustry, pointed out strengths and gaps in our cultural industries.
     Chapter4China's cultural industry association and pull effect analysis. Thischapter is a key part of the full text, used2002,2007input-output table to dynamicanalysis of cultural industry association, divided into two parts. One part is of theanalysis of industry association of China's cultural industry. We measured the directconsumption coefficient to analysis of direct dependency relationship of culturalindustry and subdivided industries, the results showed: the traditional industriesdependent on the culture industry is not strong; the cultural industry’s directinfluence role in the economic growth and the adjustment of economic structure isunlikely; cultural service is directly dependent on the development of culturalmanufacture; the direct consumption coefficient of subdivided industries are large.We measured the complete consumption coefficient to analysis of completedependency relationship of cultural industry and subdivided industries, the resultsshowed: the dependency and pull effect of other industries dependent on culturalindustries is low; the pull effect of cultural and office machinery manufactureindustry and home audio-visual equipment manufacture industry through the entirenational system to the secondary industry is the strongest. We measured the rate ofintermediate inputs and intermediate demand to analysis of the Intermediate usingsituation of cultural industry and subdivided industries, the results showed: China'scultural manufacture is high intermediate inputs, low value-added industry, and the pull effect to other industries is strong; the rate of intermediate demand of paperproducts industry, printing and reproduction of recorded media industry,coatings,inks, paints and similar products manufacture industry is high, provide theconditions and services for other sectors and play a decisive role in the developmentof other industries. The other part is the analysis of the spread effect of China'scultural industry. We measured Influence coefficient and sensitivity coefficient toanalysis of the spread effect of cultural industry and subdivided industries to otherindustries and the spread effect of other industries to cultural industry andsubdivided industries, the results showed: the spread effect of cultural manufactureto other subdivided industries is large, especially to cultural and office machinerymanufacture industry, home audio-visual equipment manufacture industry, coatings,inks, paints and similar products manufacture industry; the spread effect of otherindustries to cultural industry is less. We measured production induction coefficientand the degree of dependency coefficient to analysis of the degree of productioninduction of final demand items to cultural industry and subdivided industries, andthe degree of dependency of cultural industry and subdivided industries to finaldemand items, the results showed: the impact of consumer demand for culturalindustry is large and enhanced; the pull effect of investment to cultural industry andsubdivided industries is increased; the pull effect of exports to cultural industry andsubdivided industries is little; the degree of dependency of Tourism industry, cultureand arts industry, radio, film and television industry to consumer is large; the extentof most subdivided industries to rely on investment and exports has increased.
     Chapter5The analysis of efficiency of China's cultural industry. This chapteranalyzed China's cultural industry efficiency from static and dynamic perspective.The first is a static analysis of the efficiency of China's cultural industry, the use ofthree-stage DEA model to31provinces and cities as a decision making unit, selectcultural consumption demand, government support and the level of economic development as the environmental variables, cultural industry’s labor and investmentin fixed assets as investment variable, a total output of cultural industries as outputvariables, analysis of the efficiency of China's cultural industry in2012the situation.The results showed: comprehensive technical efficiency of China's cultural industryaverage of0.731, pure technical efficiency mean of0.793, scale efficiency mean of0.925, indicating that China's cultural industry management level is not highefficiency is the bottleneck of China's cultural industry. Shanghai’s three efficiencyof cultural industry are1, achieved efficient production frontier, decision andmanagement level and scale of development of cultural industries are in a leadingposition. From a regional perspective, the efficiency of China's cultural industry hassignificant regional differences, namely optimal eastern, central second and westernregions worst. Then the dynamic analysis of the efficiency of China's culturalindustry, we used a three-stage DEA-Malmquist index for comparative analysis of2008-2012productivity in the cultural industry. The results showed: the efficiency ofChina's cultural industry overall upward trend, the annual average growth rate of0.8%. However, the low level of technological progress, the role of technologicalprogress of efficiency of cultural industries in most provinces is not significant. Inthe course of development of China's cultural industry, pure technical efficiency doesnot play in the process of the efficiency of cultural industries, the catalytic role ofscale efficiency promote to the overall efficiency of cultural industries higher thanpure technical efficiency, the cultural industry management can’t meet the culturalneeds of the development and expansion of industrial scale.
     Chapter6Analyses the factors affecting the development of China's culturalindustry. We established panel data model, econometric method to research influencefactors of the cultural industry development of national and eastern, central andwestern regions from2004to2012, found that: the cultural consumption demand,cultural industry investment and government support three factors are positively correlated with the development of China's cultural industry. From a nationalperspective, pulling effect on the development of cultural industry in descendingorder is the cultural consumption demand, government support and cultural industryinvestment; In the eastern and central regions, the primary factor affecting thedevelopment of cultural industry is cultural consumption demand and the influenceof the eastern is greater than the central; the primary factor affecting thedevelopment of cultural industry in the Western is cultural industry investment.According to characteristics of different regions, concentrating on crucial points andrealizing diverse development, is the inevitable choice of the cultural industry. Thesecond part is that further analysis of the factors that affect regional differences incultural consumption. We used the same panel data model to research on influencefactors of cultural consumption of national and eastern, central and western regionsfrom2004to2012. Research results show that: the per capita disposable income ofurban residents in the country, east and west has positive influence on the culture ofconsumption, is an important factor of cultural consumption; central inversely affect;the cultural consumption potential in western is not released. The absolute value ofregression coefficients of price impact of cultural consumption in national andeastern, central and western regions were greater than1, indicating that culturalproducts are elastic commodity; the degree of education of urban residents has someeffect but the effect is not obvious on the cultural consumption; the raised theurbanization rate will effectively promote cultural consumption level of urbanresidents, central region most affected, followed by the western region, and finallythe eastern region.
     Chapter7The development path of China's cultural industry. This chapter basedon the characteristics and internal structure of cultural industrial development, theindustry association and spread effect of cultural industry and subdivided industriesto other industries, the efficiency of cultural industry and the factors affecting the development of cultural industry, proposed the feasible development path of China'scultural industry, include: Focus on industry association to promote culturalmanufacture and cultural services coordinated development. Strengthen themanagement of cultural industry to improve the efficiency of cultural industry.Expand the cultural consumption to stimulating development of cultural industry.Strengthen the construction of the financing channels to improve the culture industryinvestment scale. Strengthen policy guidance to support create a favorable policyenvironment. Promote cultural industrial structure adjustment and optimization theregional layout of the cultural industry. Promote the integration of culture andtechnology, the development of new cultural formats. Use comparative advantage toguide the regional differences of culture industry development.
引文
[1]巴尔塔基,白仲林等译.面板数据计量经济分析(第四版)[M].北京:机械工业出版社,2014.
    [2]白积洋.中国文化产业投资效率的实证检验[J].广西财经学院学报,2012(10):21-36.
    [3]白仲林.面板数据的计量经济分析[M].天津:南开大学出版社,2008.
    [4]白仲林.面板数据模型的设定、统计检验和新进展[J].统计与信息论坛,2010(25):3-12.
    [5]鲍枫.中国文化创意产业集群发展研究[D].长春:吉林大学,2013.
    [6]毕小青,王代丽.文化产业竞争力研究的进展、问题与展望[J].技术经济与管理研究,2009,(5):76-79.
    [7]蔡尚伟,温洪泉.文化产业导论[M].上海:复旦大学出版社,2010:17-18.
    [8]蔡旺春.文化产业对经济增长的影响—基于产业结构优化的视角[J].中国经济问题,2010,(5):49-55.
    [9]蔡旺春.中国文化产业关联程度与波及效应分析[J].统计与决策,2010(19):96-98.
    [10]陈萍.文化软实力的经济学分析[D].长春:吉林大学,2010.
    [11]陈石清,李健健,龚芳.文化产业发展对地区经济增长影响的实证分析[J].财经理论与实践,2010,(6):98-101.
    [12]陈锡康.中国城乡经济投入占用产出分析[M].北京:科学出版社,1992.
    [13]大卫·赫斯蒙德夫著,张菲娜译.文化产业[M].北京:中国人民大学出版社,2007.
    [14]戴钰.湖南省文化产业投入产出分析[J].经济研究导刊,2011,(26):66-68.
    [15]戴钰.文化产业空间集群研究-以湖南地区为例[D].武汉:武汉理工大学,2012.
    [16]邓安球.文化产业的结构演变与调整,商业时代[J].2012(29):130-132.
    [17]邓安球.文化产业发展理论研究-兼论湖南文化产业发展[D].南昌:江西财经大学,2009.
    [18]蒂莫西·科埃利著,刘大成译.效率和生产率分析导论(第2版)[M].北京:清华大学出版社,2009:216-219.
    [19]方燕,白先华.中国商业银行经营效率分析—三阶段DEA之应用[J].中央财经大学学报,2008,(6):41-46.
    [20]高鸿业.西方经济学(第三版)[M].北京:中国人民大学出版社,2004.
    [21]高铁梅.计量经济学分析方法与建模--Eviews应用及实例[M].北京:清华大学,2009年.
    [22]高阳.我国文化产业发展现状及其对策研究-以重庆文化产业为例[D].重庆:重庆大学,2008.
    [23]耿蕊.中国动漫产业集群发展研究[D].武汉:武汉大学,2012.
    [24]龚仰军.产业结构研究[M].上海:上海财经大学出版社,2002.
    [25]顾江.文化产业经济学[M].南京:南京大学出版社,2007:27.
    [26]顾乃华,夏杰长.我国主要城市文化产业竞争力比较研究[J].商业经济与管理,2007,(12):52-57,68.
    [27]郭国峰,郑召锋.我国中部六省文化产业发展绩效评价与研究[J].中国工业经济,2009(12):76-85.
    [28]国家统计局.2012年我国文化及相关产业法人单位增加值18071亿元
    [EB/OL].国家统计局网站,http://www.stats.gov.cn/tjsj/zxfb/201308/t20130826_13015.html.
    [29]国家统计局.中国投入产出表(2002)[Z].长春:吉林统计局出版社,2004
    [30]国家统计局.中国投入产出表(2007)[Z].长春:吉林统计局出版社,2009.
    [31]韩栋.基于钻石体系的中国影视文化产业国际竞争力研究[J].华中农业大学学报(社会科学版),2011,(4):98-101.
    [32]韩国文化体育观光部.文化产业规划[R].韩国文化体育观光部,2000-2013.
    [33]韩骏伟,姜东旭.区域文化产业[M].广州:中山大学出版社,2011.
    [34]韩骏伟.文化产业概论[M].广州:中山大学出版社,2009.
    [35]韩顺法.文化产业对相关产业的带动效应研究[J].商业经济与管理,2012(7):21-28.
    [36]韩学周,马萱.基于DEA模型的中国文化产业发展效率研究[J].云南财经大学学报,2012(3):146-153.
    [37]韩亚峰,焦伟娅.基于投入产出的河南文化产业分析[J].许昌学院学报,2010,29(1):127-129.
    [38]何里文,袁晓玲,邓敏慧.中国文化产业全要素生产率变动、区域差异分析[J].经济问题探索,2012(9):71-77.
    [39]侯艳红.文化产业投入绩效评价研究[D].天津:天津工业大学,2008.
    [40]候志德.文化产业发展对经济增长影响的实证研究[D].大连:东北财经大学,2010.
    [41]胡惠林,论文化产业结构战略性调整与制度创新[J].思想战线,2003(4):51-54.
    [42]胡惠林.文化产业学[M].北京:高等教育出版社,2006.
    [43]华西里·列昂惕夫.投入产出经济学[M].北京:中国统计出版社,1990.
    [44]黄斌.北京文化创意产业空间演化研究[D].北京:北京大学,2010.
    [45]黄德春,董宇怡,刘炳胜.基于三阶段DEA模型中国区域能源效率分析[J].资源科学,2012,34(4):688-695.
    [46]黄小军,张仁寿,王朋.从投入产出析文化产业对经济增长的影响-以广东为例[J].广州大学学报(社会科学版),2011,10(7):47-53.
    [47]黄永新,徐鹏.经济地理、新经济地理、产业政策与文化产业集聚:基于省级空间面板模型的分析[J].经济经纬,2011(6):47-51.
    [48]霍夫曼.工业化的阶段和类型[M].北京:中国对外翻译出版公司,1980.
    [49]贾斯廷·奥康纳著,陈家刚译.欧洲的文化产业和文化政策[M].北京:社会科学文献出版社,2004.
    [50]蒋萍,王勇.全口径中国文化产业投入产出效率研究—基于三阶段DEA模型和超效率DEA模型的分析[J].数量经济技术经济研究,2011(12):69-81.
    [51]揭志强.我国地区文化产业全要素生产率增长状况研究[D].统计与决策,2013,(1):141-145.
    [52]金春雨,程浩,宋广蕊.基于三阶段DEA模型的我国区域旅游业效率评价[J].旅游学刊,2012,(11):56-58.
    [53]金兑炫.韩国文化产业国际竞争力研究[D].长春:吉林大学经济学院,2010.
    [54]金晓彤,王天新.扩大文化消费背景下的文化产业发展路径选择[N].吉林日报,2012-6-9(07).
    [55]景跃军,王胜今.区域经济理论与方法[M].长春:吉林大学出版社,2001.
    [56]康小明,向勇.产业集群与文化产业竞争力的提升[J].北京大学学报(哲学社会科学版),2005,(2):17-21.
    [57]蓝庆新,郑学党.中国文化产业国际竞争力评价及策略研究—基于2010年横截面数据的分析[J].财经问题研究,2012(3):32-39.
    [58]乐祥海.文化产业投资影响因素测量指标体系研究[J].求索,2012(10):29-31.
    [59]乐祥海.我国文化产业投资模式研究[D].长沙:中南大学,2013.
    [60]雷宏振,潘龙梅,雷蕾.中国文化产业空间集聚水平测度及影响因素研究[J].经济问题探索,2012(2):35-41.
    [61]雷蒙德·威廉斯著,吴松江,张文定译.文化与社会[M].北京:北京大学出版社,1991.
    [62]李丹丹.北太平庄影视产业集群竞争力研究[J].中国电影市场,2011,(8):27-31.
    [63]李芳凝.中国地区文化产业竞争力的实证研究[J].辽宁大学学报(哲学社会科学版),2011(4):115-121.
    [64]李思屈,李涛.文化产业概论(第二版)[M].杭州:浙江大学出版社,2010.
    [65]李思屈.中国文化产业政策研究[M].杭州:浙江大学出版社,2012.
    [66]李秀金,吴学丽.发展视域下的我国文化产业基础及其路径选择[J].学术论坛,2011,(6):144-147.
    [67]李悦.产业经济学[M].北京:中国人民大学出版社,1998.
    [68]李子奈,潘文卿.计量经济学(第三版)[M].北京:高等教育出版社,2010.
    [69]李子奈,叶阿忠.高等计量经济学[M].北京:清华大学出版社,2000.
    [70]联合国教科文组织,张玉国,朱筱林译.文化、贸易和全球化[J].中国出版,2003:373-404.
    [71]联合国教科文组织统计研究所.2009年联合国教科文组织文化统计框架
    [S].北京:中信出版社,2011.
    [72]廖秉宜.自主与创新:中国广告产业发展研究[M].北京:人民出版社,2009.
    [73]林秀梅,吕鹰飞.关于银行业效率问题的研究述评[J].经济纵横,2012(3):114-118.
    [74]林秀梅,徐光瑞.我国高技术产业竞争力省际比较[J].当代经济研究,2010(5):20-24.
    [75]林秀梅,臧霄鹏.三阶段DEA模型的中国服务业效率[J].北京理工大学学报(社会科学版),2012,14(3):56-61.
    [76]林秀梅,臧霄鹏.我国服务业产业关联及生产率区域比较[M].长春:吉林大学出版社,2013.
    [77]林秀梅,张亚丽.我国文化产业发展影响因素的动态分析—基于VAR模型[J].税务与经济,2014,(2):47-52.
    [78]林秀梅,张屹山,方毅.我国产业结构效益分析—基于劳动力的视角[J].当代经济研究,2004(11):68-71.
    [79]林秀梅.多元统计方法[M].长春:吉林人民出版社,1996.
    [80]林秀梅.经济增长、经济结构与就业的互动机理[J].社会科学战线,2009(4):101-103.
    [81]刘家顺,杨洁,孙玉娟.产业经济学[M].上海:中国社会科学出版社,2006.
    [82]刘洁,陈海波,肖明珍.基于Panel-Data模型的江苏城市居民文化消费的实证研究[J].商业经济,2012(4):36-39.
    [83]刘起运,陈璋,苏汝劼.投入产出分析[M].北京:中国人民大学出版社,2006.
    [84]刘起运.投入产出对称数学模型的建立和应用[J].数量经济技术经济研究,1986(4):34-41.
    [85]刘飒,王强.我国人力资本与文化产业发展的灰色关联分析[J].当代经济管理,2009(12)59-62.
    [86]刘莹.文化产业与相关产业的灰色关联度分析[J].沈阳工业大学学报(社会科学版)2012(2):163-167.
    [87]楼军.对浙江文化产业和公益性文化事业发展的政策研究[D].杭州:浙江大学,2004.
    [88]陆立新.文化产业与中国经济增长的动态关系[J].统计与决策,2009,(20):86-87.
    [89]罗斯托.经济成长的过程[M].北京:商务印书馆,1980.
    [90]吕鹰飞,林秀梅.吉林省金融业的产业关联分析[J].东北师大学报(哲学社会科学版),2012(1):44-48.
    [91]吕鹰飞.我国金融业投入产出关联及效率分析[D].长春:吉林大学,2012.
    [92]马彪,卢华,王芸.我国文化产业发展问题研究[J].宏观经济研究,2007(8):38-44.
    [93]马克斯·霍克海默,西奥多·阿道尔诺著,渠敬东,曹卫东译.启蒙辩证法[M].上海:上海人民出版社,2006.
    [94]马明.我国汽车产业的产业关联及效率演进研究[D].长春:吉林大学,2012.
    [95]马跃如,白勇,程伟波.基于SFA的我国文化产业效率及影响因素分析[J].统计与决策,2012(8):97-101.
    [96]迈克尔·波特著,李明轩,邱如美译.国家竞争优势[M].北京:华夏出版社,2002.
    [97]毛根林.产业经济学[M].上海:上海人民出版社,1996.
    [98]孟华,李义敏.上海城镇居民文化消费的影响因素研究[J].预测,2012(2):70-74.
    [99]孟鑫.中国西部地区文化产业发展研究[D].北京:中央民族大学,2011.
    [100]穆宝江.韩国文化产业发展与中韩文化产业合作[D].长春:吉林大学,2012.
    [101]牛聪.吉林省保险业发展及其产业关联影响实证分析[D].长春:吉林大学,2013.
    [102]欧阳友权.文化产业概论(第二版)[M].长沙:湖南人民出版社,2007.
    [103]潘省初.计量经济学(第二版)[M].北京:中国人民大学出版社,2007.
    [104]庞皓,向蓉美.投入产出分析[M].成都:西南财经大学出版社,2007.
    [105]邱煜,葛智杰.基于三阶段DEA的文化类上市公司经营绩效评价研究[J].成都理工大学学报(社会科学版),2013(3):93-100.
    [106]芮明杰.产业经济学[M].北京:上海财经大学出版社,2005.
    [107]沈晖,王国富,胡小罕.浙江省文化产业发展对策研究[J].浙江社会科学,2001(1):8-9.
    [108]沈强.日韩文化产业发展比较研究[D].吉林:吉林大学经济学院,2010.
    [109]石长顺,景义新.中国文化创意产业研究的偏颇与平衡—基于中国期刊全文数据库文献的量化分析[J].河南社会科学,2011,19(3):160-165.
    [110]宋辉.产业结构与部门发展模型研究[M].北京:经济科学出版社,2004.
    [111]苏东水.产业经济学(第三版)[M].北京:高等教育出版社,2010.
    [112]苏东水.产业经济学[M].北京:高等教育出版社,2000.
    [113]孙洁.文化创意产业集聚动力机制研究[D].上海:上海社会科学研究院,2012.
    [114]孙敬水,马淑琴.计量经济学(第二版)[M].北京:清华大学出版社,2009.
    [115]孙敬水.计量经济学学习指导与Eviews应用指南[M].北京:清华大学出版社,2010.
    [116]孙巍.效率与生产率的非参数分析-方法、软件与应用[M].北京:社会科学文献出版社,2010.
    [117]孙咏梅.文化产业的兴起与产业结构调整[J].经济理论与经济管理,2004(12):31-33.
    [118]泰勒尔.产业组织理论[M].北京:中国人民大学出版社,1997.
    [119]童晓萌,李勋.福建省文化产业的投入产出分析[J].综合管理,2008(17):187-188.
    [120]王国志,张爱娜.投入产出在文化产业中的应用[J].中国国情国力,2007(12):31-33.
    [121]王花毅.文化产业聚集中的产业链关联性研究[D].陕西:陕西师范大学,2010.
    [122]王家庭,高珊珊.我国农村文化产业效率评估的实证研究[J].江西财经大学学报,2012(1):81-88.
    [123]王家庭,张容.基于三阶段DEA模型的中国31省市文化产业效率研究[J].中国软科学,2009(9):75-82.
    [124]王家庭,张容.我国文化产业发展影响因素及提升路径是区域分析[J].统计与决策,2010(2):79-81.
    [125]王洁.产业集聚理论与应用的研究-创意产业集聚影响因素的研究[D].上海:同济大学,2007.
    [126]王婧.中国文化产业经济贡献的影响因素[J].统计与决策,2008,(3):111-114.
    [127]王岚,赵国杰.中国地区文化产业竞争力评价模型的构建[J].天津大学学报(社会科学版),2009,(11):14-17.
    [128]王全福,杨英法.文化产业的界定和统计难题与解析[J].求索,2008(1):77-79.
    [129]王毅.文化产业竞争力评价方法与测度分析[J].求索,2007,(2):39-41.
    [130]王志标.文化产业概论[M].北京:化学工业出版社,2012:23-24.
    [131]王志标.文化产业关联效应分析[J].统计与决策,2009(20):88-90.
    [132]文化部.关于支持和促进文化产业发展的若干意见[EB/OL],中国文化产业网,http://www.cnci.gov.cn/content/20071112/news_13650.shtml.
    [133]沃德曼,詹森著,李宝伟译.产业组织理论与实践(第三版)[M].北京:机械工业出版社,2009.
    [134]吴利华,张宗扬,顾金亮.中国文化产业的特性及产业链研究—基于投入产出模型视角[J].软科学,2011,25(12):29-32.
    [135]吴喜之,赵博娟.非参数统计[M].北京:中国统计出版社,2009.
    [136]伍德里奇著,王忠玉译.横截面与面板数据的经济计量分析[M].北京:中国人民大学出版社,2007.
    [137]伍业锋.文化产业关联特征的动态分析-基于广东省2002年和2007年的投入产出数据[J].产经评论,2011,(2):5-14.
    [138]向勇,刘静.文化产业应用理论[M].北京:金城出版社,2011.
    [139]谢晶仁,余洋.中国文化产业发展问题研究[M].北京:中国出版集团,2012.
    [140]谢名家.文化产业的时代审视[M].北京:人民出版社,2002.
    [141]辛诚,杜心灵.文化产业竞争力“钻石模型”研究—以广东省为例[J].调研世界,2011,(5):58-61.
    [142]熊澄宇.文化产业研究—战略与对策[M].北京:清华大学,2006年.
    [143]修远.中国东北地区文化产业发展研究[D].长春:吉林大学,2012.
    [144]徐光瑞.我国高技术产业竞争力研究[D].长春:吉林大学,2011.
    [145]徐艳芳.区域文化产业开发的比较优势研究[D].济南:山东大学,2009.
    [146]许项发.陕西文化产业发展路径探究[J].西安财经学院学报,2013,26(1):68-72.
    [147]杨公朴,夏大慰.现代产业经济学(第二版)[M].上海:上海财经大学出版社,2005.
    [148]杨吉华.文化产业政策研究[D].北京:中共中央党校研究生院,2007.
    [149]杨吉华.我国文化产业结构存在的问题及对策[J].番禹职业技术学院学报,2007(3):12-16.
    [150]杨峻欢.日本文化产业失落的2011年[EB/OL].http//danqj.sass.org.cn/show.asp?id=2293,2012-2-6.
    [151]杨治.产业政策与结构优化[M].北京:新华出版社,1999.
    [152]叶朗.中国文化产业年度发展报告(2012)[M].北京:北京大学出版社,2012.
    [153]尹世杰.消费经济学[M].北京:高等教育出版社,2003.
    [154]应翔君.我国文化产业效率及其影响因素分析[D].杭州:浙江工业大学,2012.
    [155]于平,傅才武.中国文化创新报告(2013)[M].北京:社会科学文献出版社,2013.
    [156]余泳泽,武鹏.我国高技术产业研发效率空间相关性及其影响因素分析—基于省级面板数据的研究[J].产业经济评论,2010(9):71-84.
    [157]袁海,吴振荣.中国省域文化产业效率测算及影响因素实证分析[J].软科学,2012,26(3):72-77.
    [158]原毅军,刘浩,白楠.中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].中国软科学,2009,(1):159-167.
    [159]岳芃.西安文化创意产业的产业关联度分析[J].西安交通大学学报(社会科学版),2008,28(6):13-16.
    [160]臧霄鹏,林秀梅.产业结构的投入产出关联特征分析—以吉林省为例[J].石家庄经济学院报,2010,(5):1-4.
    [161]臧霄鹏,林秀梅.中国服务业效率研究-基于2004-2009年的面板数据[J].华南农业大学学报(社会科学版),2012,11(1):68-76.
    [162]臧霄鹏.我国服务业的产业关联及其生产率研究[D].长春:吉林大学,2012.
    [163]张宝宗.吉林省文化产业发展研究[D].长春:吉林大学东北亚研究院,2012.
    [164]张金华.我国地区旅游业效率和生产率的动态演化研究[D].长春:吉林大学,2013.
    [165]张守一.应用嵌入式投入产出模型编制行业规划[J].山西统计1988,(6)
    [166]张晓峒.计量经济分析[M].北京:经济科学出版社,2000.
    [167]张晓明,胡惠林,章建伟.中国文化产业发展报告(2001-2002)[M].北京:社会科学文献出版社,2002.
    [168]张晓明,王家新,章建刚.中国文化产业发展报告(2012-2013)[M].北京:社会科学文献出版社,2013.
    [169]张笑,魏婷.中国动漫产业国际竞争力分析[J].国际经贸探索,2009,(3):29-34.
    [170]张寻远,李文启.城镇居民消费区域差异的影响因素及其效应-基于中国省份面板数据的实证分析[J].消费经济,2011,27(6):37-40.
    [171]张志宏.美国文化产业的概况和发展经验[A].江蓝生.文化产业发展报告[C].北京:社会科学文献出版社,2003.
    [172]章迪平.基于灰色关联分析的文化产业发展影响因素研究—以浙江省为例[J].浙江工商大学学报,2013,(3):92-97.
    [173]赵立涛,徐建中.我国出版产业国际竞争力评价研究[J].学习与探索,2006,(5):206-208.
    [174]赵卫亚,袁军江.中国省际消费增长差异成因探析[J].统计研究,2013,30(8):77-83.
    [175]赵喜仓,范晓林.江苏省文化产业发展影响因素研究-基于区域的比较分析[J].中国经贸导刊,2012,(5):9-11.
    [176]赵彦云,余毅,马文涛.中国文化产业竞争力评价和分析[J].中国人民大学学报,2006,(4):72-82.
    [177]赵阳,徐宝祥编著.文化产业政策与法规[M].广州:中山大学出版社,2012.
    [178]赵迎芳.山东省文化产业竞争力要素分析[J].山东经济,2010(6):133-141.
    [179]郑世林,葛珺沂.文化体制改革与文化产业全要素生产率增长[J].中国软科学,2012(10):48-58.
    [180]中国科学院中国现代化研究中心.中国文化现代化的新探索[M].北京:科学出版社,2010.
    [181]中华人民共和国国家统计局.文化及相关产业分类[EB/OL],国家统计局网站,http://www.stats.gov.cn/tjbz/t20040518_402369832.htm.
    [182]中华人民共和国国家统计局.文化及相关产业分类[EB/OL],国家统计局网站,http://www.stats.gov.cn/tjsj/tjbz/201207/t20120731_8672.html.
    [183]中华人民共和国文化部.中国文化文物统计年鉴[M].北京:国家图书馆出版社,1997-2013.
    [184]钟祖昌.基于三阶段DEA模型的中国物流产业技术效率研究[J].财经研究,2010(9):80-90.
    [185]周国梁.美国文化产业集群发展研究[D].长春:吉林大学,2010.
    [186]周书剑.中国文化产业的产业结构演进及趋势[D].长春:吉林大学,2008.
    [187]周忠高.事业产业-舞动当代中国文化建设的强劲两翼[M].济南:济南出版社,2013.
    [188]邹广文,徐庆文.全球化与中国文化产业发展[M].北京:中央编译出版社,2006.
    [1] A. Charnes, W W Cooper, E. Rhodes. Measuring the efficiency of DecisionMaking Units [J]. European Journal of Operational Research,19782(6):429-444.
    [2] Albert O. Hirschman. The Strategy of Economic Development [M]. NewHaven: Yale University Press,1958.
    [3] Alfred Marshall, Mary Paley Marshall. Economics of Industry [M]. London:Nabu Press,2010.
    [4] Alfred Marshall. Principles of Economics [M]. New York: Prometheus Books,1997.
    [5] Aliakbar Jafari. Two Tales of a City: An Exploratory Study of CulturalConsumption among Iranian Youth [J]. Iranian Studies,2007,40(3):367-383.
    [6] Allen J. Scott. The cultural economy of cities [J].International Journal of Urbanand Regional Research,1997,21(2):323-339.
    [7] Allen J. Scott. The cultural economy of cities [M]. London: SAGEPublications Ltd.,2000.
    [8] Andrew Levin, Chien-Fu Lin, Chia-shang James Chu. Unit Root Tests in PanelData: Asymptotic and Finite-Sample Properties [J]. Journal of Economertics,2002,108(1):1-24.
    [9] Andy C. Pratt. The cultural industries production system: a case study ofemployment change in Britain,1984-1991[J]. Environment and Planning,1997,29(11):1953-1974.
    [10] Angus Denton. Essays in the theory and measurement of consume behaviour
    [M]. Cambridge: Cambridge University Press,2008.
    [11] Charles Landry. Creative Industries [M]. Hartley, Blackwell Publishing,2005.
    [12] Cheng Hsiao. Analysis of Panel Data (Second Edition)[M]. Cambridge:Cambridge University Press,2003.
    [13] Christopher D. Carroll. Buffer-Stock Saving and the Life Cycle/PermanentIncome Hypothesis [J]. The Quarterly Journal of Economics.1997,112(1):1-55.
    [14] Colin Clark. The Conditions of Economic Progress (Third Edition)[M].London: MacMillam,1957.
    [15] Cong Shuguanga, Li Yunpeng. The Study about Development Status, Trendsand Paths of Cultural Industry in China [J], Energy Procedia,2011,5:2078-2081.
    [16] Damodar N. Gujarrati. Basic Economertics (4th Edition)[M]. New York:McGraw-Hill,2001.
    [17] David Hesmondhalgh, A. C. Pratt. Cultural Industries and Cultural Policy [J].International Journal of Cultural Policy,2005,11(1):1-13.
    [18] David Hesmondhalgh. The Cultural Industries [M]. London: Sage Publications.2002.
    [19] David Throsby. Economics and Culture [M]. Cambridge: CambridgeUniversity Press,2001.
    [20] Dennis J.Aigner, C. A. Knox Lovell, Peter Schmidt. Formulation andEstimation of Stochastic Frontier Production Function Models[J]. Journal ofEconometrics,1977,6(1):21-37.
    [21] Donald V. Coes. Income Distribution Trends in Brazil and China: EvaluatingAbsolute and Relative Economic Growth [J].The Quarterly Review ofEconomic and Finance,2008,48(2):359-369.
    [22] Douglas W. Caves, Laurits R. Christensen, W. Erwin Diewert. The EconomicTheory of Index Numbers and the Measurement of Input, Output andProductivity.[J]. Econometrica,1982,50(6):1393-1414.
    [23] Edward H. Chamberlin. Theory of Monopolistic Competition [M]. Cambridge,MA: Harvard University Press,1933.
    [24] Fumio Hayashi. Economertics [M]. New Jersey: Princeton University Press,2000.
    [25] G. S. Maddala, Shaowen. Wu. A Comparative Study of Unit Root Tests withPanel Data and A New Simple Test [J]. Oxford Bulletin of Economertics andStatistics,1999,61(1):631-652.
    [26] Gerry Mooney. Cultural Policy as Urban Transformatio? Critical Reflectionson Glasgow, European City of Culture1990[J]. Local Economy,2004,19(4):327-340.
    [27] H. O. Fried, C. A. K. Lovell, S. S. Schmidt, S. Yaisawarng. Accounting forEnvironmental Effects and Statistical Noise in Data Envelopment Analysis [J].Journal of Productivity Analysis,2002,17(1-2):157-174.
    [28] Haiyan Song, Peter Romilly, Xiaoming. Liu. The UK Consumption Functionand Structural Instability: Improving Forecasting Performance Using aTime-varying Parameter Approach [J]. Applied Economics,1998,30(7):63-84.
    [29] Hans Mommaas. Cultural clusters and the post-industrial city: towards theremapping of urban cultural policy [J]. Urban Studies,2004,41(3):507-532.
    [30] Hollis Burnley Chenery,Hazel Elkington,World Bank. Structural Change andDevelopment Policy [M]. Oxford: Oxford University Press,1979.
    [31] J. Paul Elhorst. Specification and Estimation of Spatial Panel Data Models [J].International Regional Science Review,2003,26(3):244-268.
    [32] Jack Johnston,John Dinardo. Economertics Methods,(4th Edition)[M]. NewYork: McGraw-Hill,1997.
    [33] James G. MacKinnon. Numerical Distribution Functions for Unit Root andCointegration Test [J]. Journal of Applied Economertics,1996,11:601-618.
    [34] James H. Stock, Mark W. Watson. Introduction to Economertics [M]. NewYork: Pearson Education. Inc.,2003.
    [35] James Jondrow, C. A. K. Lovell, Peter Schmidt,Ivans Materov. On theestimation of technical inefficiency in the stochastic frontier production model[J]. Journal of Econometrics,1982,19(2-3):233-238.
    [36] Jeffrey M. Wooldridge. Introduction to Economertics: A Modern Approach,5thEdition [M]. New York: Thomsom, South-Western,2003.
    [37] Jerry A. Hausman, William E. Taylor. Panel Data and Unobservable IndividualEffects[J]. Econometrica,1981,49(6):1377-1398.
    [38] Jerry A. Hausman. Specification Tests in Econometrics [J]. Econometrica,1978,46(6):1251-1271.
    [39] Joan Robinson. Economics of Imperfect Competition [M]. London: PalgraveMacmillan,1933.
    [40] Jonathan Denis-Jacob. Cultural Industries in Small-sized Canadian Cities,Dream or Reality?[J]. Urban Studies,2012,49(1):97-114.
    [41] Jorg Breitung. The Local Power of Some Unit Root Test for Panel Data [J].Advances in Economertics,2000,15:161-177.
    [42] Joseph Lampel, Theresa Lant, Jamal Shamsie. Balancing Act: Learning fromOrganizing Practices in Cultural Industries [J], Organization Science,2000,11(3):263-269.
    [43] Julien Van den Broeck, G. Koop, J. Osiewalski, M. Steel. Stochastic FrontierModels: A Bayesian Perspective [J]. Econometrics,1994,61(2):273-303.
    [44] Kaddour Hardi. Testing for Stationarity in Heterogeneous Panel Data [J].Economertics Journal,2000,3(2):148-161.
    [45] Katz Gerro. Cultural Consumption and Social Stratification: Leisure Activities,Musical Tastes, and Social Location [J]. Sociological Perspectives,1999,42(4):627-646.
    [46] Keith Basset, Ron Griffiths, Ian Smith. Cultural industries, cultural clusters andthe city: the example of natural history film-making in Bristol [J]. Geoforum,2002,33(2):165-177.
    [47] Kyung So Im, M. Hashem Pesaran, Yongcheol Shin. Testing for Unit Root inHeterogeneous Panel [J]. Journal of Economertics,2003,115(1):53-74.
    [48] Li Shu-sheng. Culture Industry Development and Regional Economy-CaseStudy of Tianjin [J], Physics Procedia,2012,25:1352-1356.
    [49] Luciana Lazzeretti. Creative Industries and Innovation in Europe: Concepts,Measures and Comparative Case Studies [M]. London: Routledge,2012.
    [50] M. J. Farrell. The Measurement of Productive Efficiency [J].Journal of theRoyal Statistical Society,1957,120(3):253-290.
    [51] M. Porter. Creative Industries [M]. Hartley, Blackwell Publishing,2005:259-267.
    [52] Mark Banks. Craft Labour and Creative Industries [J]. International Journal ofCultural Policy,2010,16(3):305-321.
    [53] Marno Veerbeek. A Guide to Modern Economertics (Third Edition)[M].London: John Wiley and Sons Ltd,2008.
    [54] Oliver J. Blanchard, N. Gregory Mankiw. Consumption: Beyond CertaintyEquivalence [J].The American Economic Review,1988,78(2):173-177.
    [55] Omar Lizardo, Sara Skiles. Cultural consumption in the fine and popular artsrealms [J].Sociology Compass,2008,2(2):485-502.
    [56] Paul M. Hirsch. Cultural Industries Revisited [J]. Organization science,2000,11(3):356-361.
    [57] R. D. Banker, A. Charnes, W. W. Cooper. Some models for estimatingtechnical and scale inefficiencies in data envelopment analysis [J].Management Science,1984,30(9):1078-1092.
    [58] Richard E. Caves. Creative Industries: Contracts between Art and Commerce
    [M]. Cambridge, MA: Harvard University Press,2000.
    [59] Rober E. Hall.Stochastic implications of the life cycle-permanent incomehypotheses: theory and evidence [J]. Journal of Political Economy,1978,(86)6:971-987.
    [60] Robert S. Pindyck, Bronwyn H. Hall,Daniel L. Rubinfeld, Sergio L.Schmukler.Economertics Models and Economic Forecasts,(4th Edition)[M]. New York:McGraw-Hill,1997.
    [61] Rolf Fare, Shawna Grosskopf, James Logan. The Relative Efficiency ofIllinois Electric Utilities [J]. Resources and Energy,1983,5(4):349-367.
    [62] Rolf Fare, Shawna Grosskopf, Mary Norris, Zhongyang Zhang. ProductivityGrowth, Technical Progtess and Efficiency Changes in Industrialised Countries[J]. American Economic Review,1994,84(1):66-83.
    [63] Rolf Fare, Shawna Grosskopf. Network DEA [J].Socio-Economic PlanningSciences,2000,34(1):34-39.
    [64] Samuel Cameron, The Demand for Cinema in the United Kingdom [J]. Journalof Cultural Economics,1990,14(1):35-47.
    [65] Scott Lash, John Urry. Economies of Signs and Space [M]. London: SAGEPublications Ltd.,1994.
    [66] Simon Smith Kuznets. National income and its composition (1919-1938)[M].National Bureau of Economic Research,1941.
    [67] Stephen E. Siwek. Copyright Industries in the U.S. Economy: The2012Report
    [EB/OL]. http://www.iipa.com/copyright_us_economy.html, November2013.
    [68] Takeshi Amemiya. Advanced Economertics [M]. Cambridge: HarvardUniversity Press,1985.
    [69] Terry Flew. Creative Industries: Culture and Policy [M]. London: SAGEPublications Ltd.,2012.
    [70] Timothy J. Coelli, D. S. Prasada Rao, Christopher J. O’Donnell, George E.Battese. An introduction to efficiency and productivity analysis (SecondEdition)[M].Springer Science Business Media, Incorporation.1998.
    [71] Walt W. Rostow. The Stages of Economic Growth (Third Edition)[M].Cambridge: Cambridge University Press,1990.
    [72] William H. Greene. Economertics Analysis,(Sixth Edition)[M]. New York:Pearson Education. Inc.,2009.
    [73] Wim Meeusen, Julien Van den Broeck. Efficiency Estimation fromCobb-Douglas Production Functions with Composed Error [J].InternationalEconomic Review,197718(2):435-444.
    [74] Yuko Aoyama. The role of consumption and globalization in a cultural industry:the case of flamenco [J]. Geoforum,2007,38(1):103-113.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700