中国建筑业碳生产率变化驱动因素

doi:10.18402/resci.2019.07.08

Abstract

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

Puwei ZHANG, Guangshe JIA, Changquan HE, Nikhaphone MACKHAPHONH. Driving factors of carbon productivity changes in China’s construction industry[J].Resources Science, 2019, 41(7): 1274-1285.

Figures/Tables 5

Figure 1

驱动因素	技术创新					地区调整
时期	2005—2008	2008—2011	2011—2014	2014—2016	2005—2016	2005—2008	2008—2011	2011—2014	2014—2016	2005—2016
北京	5.327	2.123	7.859	3.527	18.837	-13.758	-6.918	-2.836	2.297	-21.215
天津	-0.795	0.862	-7.369	10.304	3.002	1.047	-4.858	11.039	-10.359	-3.130
河北	7.016	-31.676	11.885	6.696	-6.080	-7.331	22.159	-12.440	-4.348	-1.960
山西	1.785	1.825	-0.125	1.368	4.853	-4.495	-6.035	0.860	-0.389	-10.059
内蒙古	-10.964	8.490	-0.690	-3.419	-6.584	10.420	-11.938	-1.429	3.271	0.324
辽宁	-5.081	-23.123	-0.426	8.773	-19.857	-2.234	13.756	-0.001	-16.466	-4.945
吉林	1.187	-0.604	-7.651	7.928	0.860	1.067	-4.753	7.605	-7.394	-3.474
黑龙江	3.474	-9.744	2.982	1.047	-2.241	-1.510	2.670	-4.874	-0.936	-4.650
上海	4.538	2.391	0.509	3.935	11.374	-10.605	-13.861	-0.890	-0.158	-25.515
江苏	-17.692	-73.531	93.471	19.078	21.326	12.900	46.704	-66.985	9.958	2.577
浙江	-6.603	0.078	17.680	3.087	14.242	-8.435	-27.969	3.671	15.866	-16.867
安徽	2.465	-3.390	1.146	0.798	1.019	-1.417	-3.526	2.815	3.016	0.889
福建	5.826	2.102	-5.558	-1.210	1.161	0.492	-8.901	17.384	13.370	22.344
江西	1.033	-4.967	14.659	-17.031	-6.306	-1.005	-0.461	-9.380	20.994	10.147
山东	-22.413	10.500	12.721	7.940	8.748	13.809	-34.116	-3.724	-0.114	-24.145
河南	3.547	1.962	-31.863	41.599	15.245	6.938	-16.552	36.489	-22.469	4.405
湖北	6.561	-5.993	-14.888	9.715	-4.605	-4.587	-1.352	22.307	1.155	17.524
湖南	-0.439	-4.004	6.407	-10.270	-8.307	-2.131	-7.063	-0.054	13.645	4.396
广东	1.664	-8.977	7.550	18.385	18.621	-12.045	-6.766	0.120	-9.577	-28.268
广西	2.819	-4.093	1.089	-0.160	-0.344	-2.883	0.305	2.066	3.125	2.612
海南	1.162	-0.549	0.053	0.655	1.321	-1.342	-0.083	0.182	-0.465	-1.707
重庆	-15.000	8.536	5.895	6.788	6.220	13.963	-11.259	0.691	3.130	6.525
四川	-1.492	-33.964	4.793	2.941	-27.722	-0.942	24.101	-2.788	2.318	22.688
贵州	-3.796	1.972	-2.049	-3.156	-7.029	1.960	-2.934	3.192	5.284	7.502
云南	-2.197	1.123	-7.547	10.764	2.142	1.454	-4.590	11.066	-7.435	0.495
陕西	1.269	-0.132	2.677	-0.617	3.197	8.426	-8.910	-1.162	4.546	2.901
甘肃	-5.499	1.817	1.822	-0.262	-2.122	3.858	-4.169	-0.098	1.410	1.001
青海	-1.026	0.321	-0.095	0.157	-0.643	0.716	-0.995	0.196	0.167	0.084
宁夏	-0.381	-1.103	-1.160	1.560	-1.083	-0.084	0.488	0.980	-1.516	-0.132
新疆	0.228	-6.719	6.488	4.331	4.328	-0.587	4.998	-4.029	-2.659	-2.278
全国	-43.477	-168.467	120.263	135.253	43.572	1.659	-72.830	9.975	19.269	-41.927

Figure 2

Table 2

Effects of technological progress, scale efficiency, and management efficiency on GTFCP, 2005-2016"

驱动因素	技术进步				规模效率				管理效率
时期	2005— 2008	2008— 2011	2011— 2014	2014— 2016	2005— 2008	2008— 2011	2011— 2014	2014— 2016	2005— 2008	2008— 2011	2011— 2014	2014— 2016
北京	-0.022	0.106	0.340	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
天津	0.033	0.099	0.325	-0.067	-0.016	0.016	-0.104	0.092	-0.073	0.073	-0.091	-0.146
河北	-0.156	0.245	0.090	0.042	-0.077	0.076	-0.052	0.027	0.364	-0.502	0.053	-0.031
山西	0.038	-0.044	0.222	0.037	0.003	-0.038	0.031	-0.022	0.024	0.148	-0.248	0.013
内蒙古	-0.086	0.076	0.115	0.193	-0.042	0.042	-0.026	-0.033	-0.221	0.221	-0.054	-0.358
辽宁	0.109	-0.122	0.240	0.083	-0.032	-0.042	0.055	-0.103	0.000	-0.181	-0.130	-0.077
吉林	-0.067	-0.009	0.198	0.074	-0.024	0.024	-0.020	0.001	-0.009	0.009	-0.487	0.184
黑龙江	0.480	-0.456	0.327	-0.080	0.000	0.000	-0.349	0.126	0.000	0.000	0.000	0.000
上海	0.096	0.057	0.094	0.237	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
江苏	0.107	-0.049	0.216	0.236	-0.205	0.205	0.000	0.000	0.000	0.000	0.000	0.000
浙江	-0.054	0.017	0.331	0.161	0.000	0.000	-0.157	-0.101	0.000	0.000	0.000	0.000
安徽	-0.021	-0.048	0.368	0.064	-0.042	0.044	-0.021	-0.001	0.057	-0.016	-0.273	0.064
福建	0.086	0.075	0.185	0.154	0.038	0.000	-0.089	-0.008	0.054	0.000	-0.091	-0.058
江西	0.124	-0.016	0.400	0.092	0.000	-0.065	0.065	-0.102	0.000	0.000	0.000	-0.273
山东	0.069	-0.147	0.273	-0.035	-0.287	0.166	-0.024	0.084	0.000	0.000	-0.045	-0.015
河南	0.032	-0.143	0.473	-0.092	-0.131	0.134	-0.004	-0.049	0.046	0.000	-0.498	0.472
湖北	-0.028	0.059	0.172	0.034	-0.054	-0.035	-0.059	0.115	0.155	-0.054	-0.130	0.000
湖南	-0.063	0.146	0.094	0.137	-0.042	0.015	0.009	-0.003	0.089	-0.151	0.088	-0.324
广东	-0.009	0.010	0.192	0.030	-0.057	0.043	-0.024	0.102	0.122	-0.062	0.062	0.000
广西	-0.097	-0.082	0.287	0.246	0.045	0.004	0.000	-0.128	0.180	0.035	0.000	0.000
海南	0.001	-0.054	0.204	0.137	-0.268	0.163	-0.128	-0.038	0.000	0.000	0.000	0.000
重庆	-0.191	0.114	0.250	0.141	-0.004	-0.003	0.008	0.000	-0.178	0.086	0.092	0.000
四川	-0.068	0.161	0.160	0.087	-0.053	0.059	-0.005	0.005	0.094	-0.363	-0.060	-0.114
贵州	0.071	0.013	0.176	0.074	0.050	-0.010	0.057	-0.076	-0.311	0.109	-0.306	-0.082
云南	0.222	-0.163	0.283	0.004	-0.047	0.027	-0.047	0.057	-0.041	-0.053	-0.369	0.195
陕西	-0.083	0.135	0.171	0.025	0.047	-0.002	0.002	-0.078	0.086	-0.112	-0.091	0.053
甘肃	0.044	0.034	0.046	0.118	-0.054	-0.087	0.137	-0.119	-0.217	0.054	0.005	-0.010
青海	0.105	-0.369	0.138	0.060	0.000	0.000	-0.139	0.001	0.000	0.000	0.000	0.000
宁夏	0.112	0.041	0.238	0.062	0.000	-0.057	-0.210	0.023	0.000	0.000	-0.165	0.165
新疆	0.087	0.196	0.093	0.114	0.016	-0.095	0.061	0.043	0.009	-0.313	0.186	0.127
全国	0.029	-0.004	0.223	0.079	-0.041	0.019	-0.034	-0.006	0.008	-0.036	-0.085	-0.007

Table 2

Figure 3

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

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