Regional differences and influencing factors of the carbon emission efficiency from public buildings in China

被引:5
作者
Wang, Yong-Kun [1 ]
Liang, Yang [1 ]
Shao, Liang-Shan [1 ]
机构
[1] Liaoning Tech Univ, Coll Business Adm, Huludao, Liaoning, Peoples R China
关键词
public buildings; carbon emission efficiency; minimum distance to strong effective frontier function; Malmquist-Luenberger index; panel data model; DATA ENVELOPMENT ANALYSIS; ENERGY EFFICIENCY; CONSTRUCTION-INDUSTRY; UNDESIRABLE OUTPUTS; PRODUCTIVITY; IMPACT; DISTANCE; SECTOR;
D O I
10.3389/fenvs.2022.962264
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The rapid development of the tertiary industry has made the energy consumption of public buildings grow too fast during the operation stage, which has become a key area of energy conservation and emission reduction in China's construction industry. This study uses the Minimum Distance to Strong effective Frontier function (MinDS) and Malmquist-Luenberger (ML) index analysis methods to measure the public building carbon emission efficiency (PBCEE) of 30 provincial-level units in China's eight economic regions from 2010 to 2019, and analyze regional differences and evolution. Then, the influencing factors of PBCEE in different regions were analyzed using the fixed-effect panel data model. The results show that: 1) China's PBCEE is generally low, with an average efficiency value of only 0.74, and there are great differences among regions, showing the spatial characteristics of "high in the east and low in the west. " 2) Relying on the positive impact of technological progress, the PBCEE in the eight regions increased year by year, with an annual growth rate of 1.82%. 3) The influence results and degrees of various factors on PBCEE are different in different economic zones, but increasing the proportion of electricity consumption has a certain positive effect on improving PBCEE. The same influencing factor has obvious threshold characteristics for PBCEE in different regions, so the government needs to consider the actual situation of the region when formulating carbon emission reduction policies for public buildings.
引用
收藏
页数:16
相关论文
共 63 条
[1]   Closest targets and minimum distance to the Pareto-efficient frontier in DEA [J].
Aparicio, Juan ;
Ruiz, Jose L. ;
Sirvent, Inmaculada .
JOURNAL OF PRODUCTIVITY ANALYSIS, 2007, 28 (03) :209-218
[2]  
Building Energy Conservation Research Center of Tsinghua University, 2020, ANN REP CHIN BUILD E
[3]  
Cai W.G., 2017, HEAT VENT AIR COND, V47, P27
[4]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[5]   The impact of the spatio-temporal neighborhood effect on urban ecoefficiency in China [J].
Chen, Peirong ;
Xie, Ruhe ;
Lu, Mingxuan ;
Huang, Zuqing .
JOURNAL OF CLEANER PRODUCTION, 2021, 285 (285)
[6]  
Chen Z., 2016, MECH ELECT INF, V21, DOI [10.19514/j.cnki.cn32-1628/tm.2016.21.084, DOI 10.19514/J.CNKI.CN32-1628/TM.2016.21.084]
[7]  
China Building Energy Conservation Association, 2021, Build. Energy Effic, P1, DOI DOI 10.3969/J.ISSN.2096-9422.2021.02.001
[8]   Productivity and undesirable outputs: A directional distance function approach [J].
Chung, YH ;
Fare, R ;
Grosskopf, S .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 1997, 51 (03) :229-240
[9]   Carbon mitigation by the construction industry in China: a perspective of efficiency and costs [J].
Du, Qiang ;
Wu, Jiao ;
Cai, Changlu ;
Li, Yi ;
Zhou, Jie ;
Yan, Yunqing .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (01) :314-325
[10]   Spatiotemporal Analysis of Influencing Factors of Carbon Emission in Public Buildings in China [J].
Du, Zhuoqun ;
Liu, Yisheng ;
Zhang, Zhidong .
BUILDINGS, 2022, 12 (04)