华东地区建筑业效率研究及因素分解
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摘要
为缓解华东部分地区受虚拟经济影响所形成的产业空心化迹象,通过超效率DEA-Malmquist模型对华东地区2008—2015年的建筑业效率进行静态与动态的比较研究,为维持实体经济稳定提供有力的数据基础。研究结果表明:华东地区整体建筑业效率比较高,总体呈上升趋势,但是各省市建筑业效率差距较明显、发展不均衡,其中技术进步是影响建筑业效率变动的最主要因素。结合静态与动态分析的结果,提出了相应的对策建议,为华东地区的建筑业效率提升提供了参考。
In order to alleviate the signs of Industrial Hollowing caused by the influence of fictitious economy in eastern China,a static and dynamic comparative study on the efficiency of construction industry in eastern China from 2008 to 2015 is carried out by using the super-efficiency DEA-Malmquist model,which can provide a powerful data basis for maintaining the stability of real economy. The study finds that the overall efficiency of the construction industry in East China is relatively high,showing an upward trend,but the efficiency gap between provinces and cities is obvious,and the development is not balanced.Technological progress is the most important factor affecting the efficiency change of the construction industry. Combining the results of static and dynamic analysis,the corresponding countermeasures and suggestions are put forward,which provide a reference for improving the efficiency of the construction industry in East China.
In order to alleviate the signs of Industrial Hollowing caused by the influence of fictitious economy in eastern China,a static and dynamic comparative study on the efficiency of construction industry in eastern China from 2008 to 2015 is carried out by using the super-efficiency DEA-Malmquist model,which can provide a powerful data basis for maintaining the stability of real economy. The study finds that the overall efficiency of the construction industry in East China is relatively high,showing an upward trend,but the efficiency gap between provinces and cities is obvious,and the development is not balanced.Technological progress is the most important factor affecting the efficiency change of the construction industry. Combining the results of static and dynamic analysis,the corresponding countermeasures and suggestions are put forward,which provide a reference for improving the efficiency of the construction industry in East China.
引文
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[2]NAZARKO J,CHODAKOWSKA E.Measuring productivity of construction industry in europe with data envelopment analysis[J].Procedia Engineering,2015(122):204-212.
[3]CHANCELLOR W,LU W.A regional and provincial productivity analysis of the chinese construction industry:1995 to 2012[J].Journal of Construction Engineering&Management,2016,142(11):9-11.
[4]陈永高,周明荣,钟振宇.基于超效率DEA的上市建筑企业经营效率分析[J].武汉理工大学学报(信息与管理工程版),2010,32(3):502-506.
[5]王幼松,李成瑶,张煜帆,等.基于超效率DEA的华南六省建筑业效率分析[J].建筑经济,2014(4):19-22.
[6]CHEN Y,LIU B,SHEN Y,et al.The energy efficiency of China's regional construction industry based on the three-stage DEA model and the DEA-DAmodel[J].KSCE Journal of Civil Engineering,2016,20(1):34-47.
[7]刘炳胜,陈晓红,王雪青,等.中国区域建筑产业TFP变化趋势与影响因素分析[J].系统工程理论与实践,2013,33(4):1041-1049.
[8]郑晓晓,刘伊生,时颖.基于DEA模型的北京市建筑业生产效率评价[J].北京交通大学学报(社会科学版),2017,16(2):76-84.
[9]周蜀国,何静.中国建筑产业效率测度研究:2004-2010[J].建筑经济,2014(11):15-18.
[10]谭丹,王广斌,曹冬平.建筑业全要素生产率的增长特征及其影响因素[J].同济大学学报(自然科学版),2015(12):1901-1907.
[11]ANDERSEN P,PETERSEN N C.A procedure for ranking efficient units in data envelopment analysis[J].Management Science,1993,39(10):1261-1264.
[12]陈汝佳,孙付华.长江经济带农水利用效率评价:基于DEA-Malmquist模型[J].武汉理工大学学报(信息与管理工程版),2018,40(5):556-560.
[13]FARE R,GROSSKOPF S.Malmquist productivity indexes and fisher ideal indexes[J].Economics Journal,1992,102(1):158-160.