Carbon Emissions in China's Construction Industry: Calculations, Factors and Regions

被引:45
作者
Du, Qiang [1 ]
Lu, Xinran [2 ]
Li, Yi [1 ]
Wu, Min [2 ]
Bai, Libiao [1 ]
Yu, Ming [2 ]
机构
[1] Changan Univ, Sch Econ & Management, Xian 710064, Shaanxi, Peoples R China
[2] Changan Univ, Sch Civil Engn, Xian 710061, Shaanxi, Peoples R China
关键词
construction industry; carbon emissions; LMDI; province of China; GREENHOUSE-GAS EMISSIONS; CO2; EMISSIONS; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; ENVIRONMENTAL INDICATORS; DECOMPOSITION ANALYSIS; DRIVING FACTORS; INTENSITY; PROVINCES; DRIVERS;
D O I
10.3390/ijerph15061220
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The production of construction projects is carbon-intensive and interrelated to multiple other industries that provide related materials and services. Thus, the calculations of carbon emissions are relatively complex, and the consideration of other factors becomes necessary, especially in China, which has a massive land area and regions with greatly uneven development. To improve the accuracy of the calculations and illustrate the impacts of the various factors at the provincial level in the construction industry, this study separated carbon emissions into two categories, the direct category and the indirect category. The features of carbon emissions in this industry across 30 provinces in China were analysed, and the logarithmic mean Divisia index (LMDI) model was employed to decompose the major factors, including direct energy proportion, unit value energy consumption, value creation effect, indirect carbon intensity, and scale effect of output. It was concluded that carbon emissions increased, whereas carbon intensity decreased dramatically, and indirect emissions accounted for 90% to 95% of the total emissions from the majority of the provinces between 2005 and 2014. The carbon intensities were high in the underdeveloped western and central regions, especially in Shanxi, Inner-Mongolia and Qinghai, whereas they were low in the well-developed eastern and southern regions, represented by Beijing, Shanghai, Zhejiang and Guangdong. The value creation effect and indirect carbon intensity had significant negative effects on carbon emissions, whereas the scale effect of output was the primary factor creating emissions. The factors of direct energy proportion and unit value energy consumption had relatively limited, albeit varying, effects. Accordingly, this study reveals that the evolving trends of these factors vary in different provinces; therefore, overall, our research results and insights support government policy and decision maker's decisions to minimize the carbon emissions in the construction industry.
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页数:17
相关论文
共 45 条
[1]   The relationship between energy consumption, CO2 emissions and economic growth in Tanzania [J].
Albiman, Masoud Mohammed ;
Suleiman, Najat Nassor ;
Baka, Hamad Omar .
INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2015, 9 (03) :361-375
[2]   Factorizing changes in energy and environmental indicators through decomposition [J].
Ang, BW ;
Zhang, FQ ;
Choi, KH .
ENERGY, 1998, 23 (06) :489-495
[3]   Economic development, pollutant emissions and energy consumption in Malaysia [J].
Ang, James B. .
JOURNAL OF POLICY MODELING, 2008, 30 (02) :271-278
[4]  
Boden T., 2013, GLOBAL REGIONAL NATL
[5]  
Business Information System (BIS), 2010, EST AM CO 2 EM CONST
[6]  
CAI WG, 2014, NAT ENVIRON POLLUT T, V13, P203
[7]   Analysis of building energy regulation and certification in Europe: Their role, limitations and differences [J].
Casals, XG .
ENERGY AND BUILDINGS, 2006, 38 (05) :381-392
[8]   Greenhouse gas emissions in China 2007: Inventory and input-output analysis [J].
Chen, G. Q. ;
Zhang, Bo .
ENERGY POLICY, 2010, 38 (10) :6180-6193
[9]   Energy consumption, CO2 emissions and GDP in Nigeria [J].
Chindo S. ;
Abdulrahim A. ;
Waziri S.I. ;
Huong W.M. ;
Ahmad A.A. .
GeoJournal, 2015, 80 (03) :315-322
[10]   Spatiotemporal Changes of Built-Up Land Expansion and Carbon Emissions Caused by the Chinese Construction Industry [J].
Chuai, Xiaowei ;
Huang, Xianjin ;
Lu, Qinli ;
Zhang, Mei ;
Zhao, Rongqin ;
Lu, Junyu .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2015, 49 (21) :13021-13030