共同前沿和三阶段数据包络的中国建筑业效率评价
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摘要
针对三阶段数据包络分析模型在第二阶段调整公式上和参照集的选取上存在不足,提出一种改进调整模型.在实证研究上,基于2007—2015年中国建筑业省际面板数据,对我国四大所有制建筑业效率进行测算.研究表明:四大所有制建筑业企业效率都比较低,西部地区效率明显低于东、中部地区,股份制建筑业企业效率最高,国有建筑业企业效率最差,集体、私营、股份制建筑业企业都表现出明显的"区域差异".
Because of the shortcomings of the three-stage data envelopment analysis model in the second stage adjustment formula and the selection of the reference set, we propose a modified adjustment model in this paper, at the same time. In empirical research, we evaluate the efficiency of the four largest ownership construction industry in China which is based on the inter-provincial panel data of China's construction industry from 2007 to 2015. The research shows that: the efficiency of China's four ownership construction industry is relatively low. The efficiency of western region is obviously lower than that in east and middle regions, the efficiency in the joint-stock construction enterprises is the highest, while the state-owned construction enterprises are the lowest. Meanwhile, collective, private and joint-stock construction enterprises show obvious regional differences.
Because of the shortcomings of the three-stage data envelopment analysis model in the second stage adjustment formula and the selection of the reference set, we propose a modified adjustment model in this paper, at the same time. In empirical research, we evaluate the efficiency of the four largest ownership construction industry in China which is based on the inter-provincial panel data of China's construction industry from 2007 to 2015. The research shows that: the efficiency of China's four ownership construction industry is relatively low. The efficiency of western region is obviously lower than that in east and middle regions, the efficiency in the joint-stock construction enterprises is the highest, while the state-owned construction enterprises are the lowest. Meanwhile, collective, private and joint-stock construction enterprises show obvious regional differences.
引文
[1] 赵惠珍,倪稞,郭巧洪,等.2016年建筑业发展统计分析[J].工程管理学报,2017,31(3):1-13.
[2] 郭汉丁,陈思敏.基于SNA的既有建筑节能改造主体社会责任共担影响因素研究[J].科技进步与对策,2017,34(9):146-150.
[3] 李忠富,王汇墨.基于DEA的中国建筑业生产效率实证研究[J].系统管理学报,2011,20(3):307-313.
[4] 林晨,王幼松,张雁.广东省建筑业生产效率的分析评估[J].华南理工大学学报(自然科学版),2003,31(1):14-17.
[5] NAZARKO J,CHODAKOWSKA E.Measuring productivity of construction industry in europe with data envelopment analysis[J].Procedia Engineering,2015,122:204-212.
[6] LIU Q,WANG S,ZHANG W,et al.China’s municipal public infrastructure:estimating construction levels and investment efficiency using the entropy method and a DEA model[J].Habitat International,2017,64:59-70.
[7] 曹琳剑,魏莹,陈静,等.基于两阶段DEA的建筑业效率评价研究:以天津市为例[J].建筑经济,2014,35(10):115-121.
[8] 谢思聪,陈小波.基于多层编码遗传算法的两阶段装配式建筑预制构件生产调度优化[J].工程管理学报,2018,32(1):18-22.
[9] 贾国柱,刘圣国,孟楷越.基于改进DEA模型的建筑业循环经济效率评价研究[J].管理评论,2014,26(4):14-21.
[10] 冯博,王雪青,刘炳胜.考虑碳排放的中国建筑业能源效率省际差异分析[J].资源科学,2014,36(6):1256-1266.
[11] 翁清,马骏,袁军.基于三阶段DEA-Malmquist的华东地区建筑业效率研究[J].工程管理学报,2016,30(3):42-47.
[12] 赵平,宋芳.基于三阶段DEA模型的建筑业安全投入效率研究[J].安全与环境工程,2015,22(5):118-122.
[13] 程文辉.基于DEA三阶段模型的公共文化服务预算效率评价[J].统计与决策,2017(23):157-160.
[14] 王雪青,潘辉.我国区域建筑产业生产效率比较研究[J].统计与决策,2012(18):96-99.
[15] FRIED H O,LOVELL C A K,SCHNIDT S S,et al.Accounting for environmental effects and statistical noise in data envelopment analysis[J].Journal of Productivity Analysis,2002,17(1/2):157-174.
[16] JONDROW J,LOVELL C A K,MATEROV I S,et al.On the estimation of technical inefficiency in the stochastic frontier production function model[J].Journal of Econometrics,1982,19(2):233-238.
[17] 黄薇.中国保险业效率的实证研究:考虑环境因素的影响[J].统计研究,2009,26(6):29-37.
[18] 王睿,黄森.农村资金投入与农村区域间居民收入差异:基于1999—2006年省际面板数据的实证研究[J].数量经济技术经济研究,2010,27(1):44-57.
[19] 李双杰,王林,范超.统一分布假设的随机前沿分析模型[J].数量经济技术经济研究,2007(4):84-91.
[20] 罗登跃.三阶段DEA模型管理无效率估计注记[J].统计研究,2012,29(4):104-107.
[21] O’DONNELL C J,RAO D S P,BATTESE G E.Meta frontier frameworks for the study of firm-level efficiencies and technology ratios[J].Empirical Economics,2008,34(2):231-255.
[22] LOTFI F H,FALLAHNEIAD R.Imprecise shannon’s entropy and multi attribute decision making[J].Entropy,2010,12(1):53-62.
[2] 郭汉丁,陈思敏.基于SNA的既有建筑节能改造主体社会责任共担影响因素研究[J].科技进步与对策,2017,34(9):146-150.
[3] 李忠富,王汇墨.基于DEA的中国建筑业生产效率实证研究[J].系统管理学报,2011,20(3):307-313.
[4] 林晨,王幼松,张雁.广东省建筑业生产效率的分析评估[J].华南理工大学学报(自然科学版),2003,31(1):14-17.
[5] NAZARKO J,CHODAKOWSKA E.Measuring productivity of construction industry in europe with data envelopment analysis[J].Procedia Engineering,2015,122:204-212.
[6] LIU Q,WANG S,ZHANG W,et al.China’s municipal public infrastructure:estimating construction levels and investment efficiency using the entropy method and a DEA model[J].Habitat International,2017,64:59-70.
[7] 曹琳剑,魏莹,陈静,等.基于两阶段DEA的建筑业效率评价研究:以天津市为例[J].建筑经济,2014,35(10):115-121.
[8] 谢思聪,陈小波.基于多层编码遗传算法的两阶段装配式建筑预制构件生产调度优化[J].工程管理学报,2018,32(1):18-22.
[9] 贾国柱,刘圣国,孟楷越.基于改进DEA模型的建筑业循环经济效率评价研究[J].管理评论,2014,26(4):14-21.
[10] 冯博,王雪青,刘炳胜.考虑碳排放的中国建筑业能源效率省际差异分析[J].资源科学,2014,36(6):1256-1266.
[11] 翁清,马骏,袁军.基于三阶段DEA-Malmquist的华东地区建筑业效率研究[J].工程管理学报,2016,30(3):42-47.
[12] 赵平,宋芳.基于三阶段DEA模型的建筑业安全投入效率研究[J].安全与环境工程,2015,22(5):118-122.
[13] 程文辉.基于DEA三阶段模型的公共文化服务预算效率评价[J].统计与决策,2017(23):157-160.
[14] 王雪青,潘辉.我国区域建筑产业生产效率比较研究[J].统计与决策,2012(18):96-99.
[15] FRIED H O,LOVELL C A K,SCHNIDT S S,et al.Accounting for environmental effects and statistical noise in data envelopment analysis[J].Journal of Productivity Analysis,2002,17(1/2):157-174.
[16] JONDROW J,LOVELL C A K,MATEROV I S,et al.On the estimation of technical inefficiency in the stochastic frontier production function model[J].Journal of Econometrics,1982,19(2):233-238.
[17] 黄薇.中国保险业效率的实证研究:考虑环境因素的影响[J].统计研究,2009,26(6):29-37.
[18] 王睿,黄森.农村资金投入与农村区域间居民收入差异:基于1999—2006年省际面板数据的实证研究[J].数量经济技术经济研究,2010,27(1):44-57.
[19] 李双杰,王林,范超.统一分布假设的随机前沿分析模型[J].数量经济技术经济研究,2007(4):84-91.
[20] 罗登跃.三阶段DEA模型管理无效率估计注记[J].统计研究,2012,29(4):104-107.
[21] O’DONNELL C J,RAO D S P,BATTESE G E.Meta frontier frameworks for the study of firm-level efficiencies and technology ratios[J].Empirical Economics,2008,34(2):231-255.
[22] LOTFI F H,FALLAHNEIAD R.Imprecise shannon’s entropy and multi attribute decision making[J].Entropy,2010,12(1):53-62.