中国区域建筑产业发展呈现出较大的差异性,这种差异性的长期存在和过分扩大不仅会影响到建筑产业发展的整体效率,也不利于资源的有效配置。据此,本研究将随机前沿生产函数模型与σ趋同检验方法结合,探索进入新世纪后中国建筑产业生产效率变动的区域差异及其背后的影响机制,并进行各地区建筑产业生产效率的收敛性实证分析。研究发现,中国建筑产业生产效率由东到西依次呈现出梯次发展趋势,区域科技投入状况、建筑市场开放度、市场的所有权结构和产业发达程度四个控制变量极大地促进了中国建筑业生产效率的提升;而建筑业人力资本和区域金融业发展状况两个控制变量对建筑业生产效率的提升带来了负面效应。区域间与区域内建筑产业生产效率的差异化程度均存在着严重的"拉大"趋势。最后,从有效遏制地方保护、规范竞争秩序、深化国有企业改革、吸引外资企业和完善创新机制五个方面提出相应的对策建议。
Abstract
Chinese regional construction industry presents relatively large differences in its development. The persistent existence and excessive expansion of such differences will not only affect the overall efficiency of the development of the construction industry, but also are not favorable to the effective allocation of resources. Based on this fact, we combine the stochastic frontier production function model and the method of σ convergence test, explore the regional differences of the variation of the production efficiency in Chinese construction industry of the new century and its influence mechanism, and make an empirical analysis of the convergence of the production efficiency in each region's construction industry. The research shows that the production efficiency of Chinese construction industry presents an echelon development trend successively from the east to the west; the four control variables, that is, the regional science and technology input, the openness of the construction market, the market ownership structure and the industrial development level, greatly promote the production efficiency of Chinese construction industry; the two control variables, that is, the human capital in the construction industry and the development of the regional financial industry, play a negative role in the promotion of the production efficiency in the construction industry; there exist seriously enlarging differences in the production efficiency of the inter-regional construction industries, as well as intra-regional construction industries. Finally, this paper proposes some corresponding countermeasures and suggestions from five aspects, including effectively containing the local protection, regulating the competition order, deepening the reform of state-owned enterprises, attracting foreign companies and improving innovation mechanisms.
关键词
建筑产业 /
生产效率变动 /
差异 /
趋同
Key words
construction industry /
variation of production efficiency /
difference /
convergence
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参考文献
[1]国家统计局[EB/OL].2009年国民经济和社会发展统计公报.
[2] Chau,K.,Walker,A.The measurement of total factor productivity of the Hong Kong construction industry[J].Construction Management and Economics,1988,6(3):209-224.
[3]林晨,王幼松.DEA模型方法在排位评估中的应用——广东省在全国建筑业生产效率的排位研究[J].暨南大学学报,2003,24(1):26-30.
[4]高金窑.我国建筑业全要素生产率的实证分析[J].山东建筑工程学院学报,2003,18(4):78-82.
[5]李百吉,贾洪.基于DEA方法的我国各省(市)建筑业生产效率分析[J].科技创新导报,2008(31):48-50.
[6]李汶华,郭均鹏.建筑业效率评估和预测的区间DEA模型[J].河北建筑科技学院学报,2005,22(2):87-89.
[7]李伟,李光辉,李月娟,贾培云.基于DEA模型的我国各省区建筑业生产效率评价实证研究[J].科技进步与对策,2009,26(21):153-155.
[8]戴永安,陈才.中国省际建筑业效率差异及其影响因素研究[J].中国软科学,2010(1):87-95.
[9]李公祥,尹贻林.基于超效率DEA方法的中国建筑业生产效率实证研究[J].北京理工大学学报,2009,11(4):75-80.
[10] Zhi,M.,Hua,G.B.,Wang,S.Q.Total factor productivity growth accounting in the construction industry of Singapore[J].Construction Management and Economics,2003,21(7):707-718.
[11] Griliche.New development in productivity measurement and productivity measurement and analysis NBER studies in income and Wwealth[M].University of Chicago Press,1980.
[12] Dacy,D.C.Productivity price trends in construction since 1947[J].Review of Economics and Statistics,1965,47(4):25-39.
[13] Stocks,H.K.Jr.An examination of the productivity function[J].The Review of Economics and Statistics,1981,63(4):495-502.
[14] Allen,S.G.Why construction industry productivity is declining[J].The Review of Economics and statistics,1985,67(4):661-669.
[15] Denison,E.F.Classification of sources of growth[J].Review of Income and Wealth,1972,18(1):22-25.
[16]潘雄锋,刘风朝.中国区域工业企业技术创新效率变动及其收敛性研究[J].管理评论,2010,22(2):59-64.
[17] Kumbhakar,S.C.,Knox Lovell,C.A.Stochastic Frontier Analysis[M].Britain:Cambridge University Press,2000.
[18] Meeusen,W.,Broeck,J.V.D.Efficiency estimation from Cobb-Douglas production functions with composed error[J].International Economic Review,1977,18(2):435-444.
[19] Battese,G.E.,Coelli,T.J.Frontier production functions,technical efficiency and panel data:With application to paddy farmers in India[J].Journal of Productivity Analysis,1992,3(1):153-169.
[20] Battese,G.E.,Coelli,T.J.A model for technical inefficiency effects in a stochastic frontier production function for panel data[J].Empirical Economics,1995,20(2):325-332.
[21] Bernard,A.B.,Durlauf,S.N.Convergence in international output[J].Journal of Applied Econometrics,1995,10(2):97-108.
[22] Bernard,A.B.,Durlauf,S.N.Interpreting tests of the convergence hypothesis[J].Journal of Econometrics,1996,71(1):161-173.
[23] Durlauf,S.N.,Johnson,P.Multiple regimes and cross-country growth behavior[J].Journal of Applied Econometrics,1995,10(4):365-384.
[24] Evans,P.,Karras,G.Convergence revisited[J].Journal of Monetary Economics,1996,37(2):249-265.
[25]范建亭.中国建筑业的市场结构、绩效与竞争政策[M].上海:上海财经大学出版社,2010.
基金
国家自然基金创新群体基金,基金编号:70921001;国家自然基金资助项目,基金编号:71102072、71172148;中国博士后基金,基金编号:20110491265;建设部软课题项目:2010-R3-5。