资源科学 ›› 2019, Vol. 41 ›› Issue (7): 1274-1285.doi: 10.18402/resci.2019.07.08

• 碳排放 • 上一篇    下一篇

中国建筑业碳生产率变化驱动因素

张普伟(), 贾广社, 何长全, MACKHAPHONH Nikhaphone   

  1. 同济大学 经济与管理学院,上海 200092
  • 收稿日期:2018-07-09 修回日期:2018-10-12 出版日期:2019-07-25 发布日期:2019-07-25
  • 作者简介:

    作者简介:张普伟,男,贵州普安人,博士,高级工程师,从事效率与生产率评价、资源与环境管理和工程项目管理研究。E-mail: zhang.p.w@163.com

  • 基金资助:
    同济大学研究生学科交叉创新人才国际合作培养项目(2018XKJC-004)

Driving factors of carbon productivity changes in China’s construction industry

Puwei ZHANG(), Guangshe JIA, Changquan HE, Nikhaphone MACKHAPHONH   

  1. School of Economics and Management, Tongji University, Shanghai 200092, China
  • Received:2018-07-09 Revised:2018-10-12 Online:2019-07-25 Published:2019-07-25

摘要:

绿色发展要求下,中国建筑业碳生产率变化的驱动因素需要进行深入分析。本文测算了2005—2016年中国各省(市、区)各年的建筑业单要素碳生产率(SFCP)和全局全要素碳生产率(GTFCP),应用相关性检验实证了SFCP和GTFCP之间的关系,分别应用加和式对数平均迪氏指数分解方法I(A-LMDI-I)和数据包络分析(DEA)分解方法对SFCP和GTFCP变化的驱动因素进行识别和分析。结果显示:①SFCP和GTFCP之间显著正相关。②技术创新正向驱动SFCP,地区调整负向驱动SFCP;2008—2011年是技术创新和地区调整对SFCP影响最大的时段;四川省的技术创新、广东省的地区调整对SFCP的影响最大。③技术进步正向驱动GTFCP,管理效率和规模效率负向驱动GTFCP;2011—2014年是技术进步和管理效率影响最大的时段;2005—2008年是规模效率对GTFCP影响最大的时段;江西的技术进步、海南的规模效率和贵州的管理效率对GTFCP的影响最大。基于以上结果总结出相应的管理启示和不足。

关键词: 碳生产率, 驱动因素, LMDI, 数据包络分析, 建筑业, 中国

Abstract:

Under the requirements of green development, the driving factors for the change of carbon productivity in China’s construction industry should be analyzed in great depth. This study measured single factor carbon productivity (SFCP) and global total factor carbon productivity (GTFCP) of the construction industry in China from 2005 to 2016. Correlation test was used to verify the relationship between SFCP and GTFCP, additive logarithmic mean Divisia index (A-LMDI) method was applied to decompose the driving factors of SFCP changes, and data envelopment analysis (DEA) method was applied to decompose the driving factors of GTFCP changes. The results show that: (1) There is a significant positive correlation between SFCP and GTFCP. (2) Technological innovation was the positive driving force, and regional adjustment was the negative driving force of SFCP. Between 2008 and 2011, technological innovation and regional adjustment had the greatest impact on SFCP. Technological innovation in Sichuan Province and regional adjustment in Guangdong Province had the greatest impact on SFCP. (3) Technological progress was the positive driving force, and management efficiency and scale efficiency were the negative driving forces of GTFCP. Between 2011 and 2014, technological progress and management efficiency had the greatest impact on GTFCP. Between 2005 and 2008, scale efficiency had the greatest impact on GTFCP. Technological progress in Jiangxi Province, scale efficiency in Hainan Province, and management efficiency in Guizhou Province had the greatest impact on GTFCP. Based on the above conclusions, corresponding management implications and limitation were summarized.

Key words: carbon productivity, driving factors, LMDI, data envelopment analysis, construction industry, China