Acta Geographica Sinica ›› 2014, Vol. 69 ›› Issue (10): 1414-1424.doi: 10.11821/dlxb201410002
• Orginal Article • Previous Articles Next Articles
Jingjing XUE1(), Lei SHEN2, Baofa PENG1, Litao LIU2
Received:
2013-10-20
Revised:
2014-06-06
Online:
2014-10-20
Published:
2014-10-20
Supported by:
Jingjing XUE, Lei SHEN, Baofa PENG, Litao LIU. The economic and environmental performance of regional energy consumption: An empirical study on 14 major energy output and input provinces in China[J].Acta Geographica Sinica, 2014, 69(10): 1414-1424.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Tab. 1
The comparisons of energy consumption efficiency on economy among China's major energy output provinces from 2000 to 2010
2000 | 2003 | 2006 | 2010 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模效率 | |
全国 | 0.828 | 1.000 | 0.828 | 0.831 | 1.000 | 0.831 | 0.820 | 1.000 | 0.820 | 0.760 | 1.000 | 0.760 |
山西 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
内蒙古 | 1.000 | 1.000 | 1.000 | 0.971 | 1.000 | 0.971 | 0.750 | 0.763 | 0.983 | 0.829 | 0.853 | 0.972 |
陕西 | 0.657 | 1.000 | 0.657 | 0.688 | 1.000 | 0.688 | 0.666 | 1.000 | 0.666 | 0.659 | 1.000 | 0.659 |
黑龙江 | 0.901 | 0.950 | 0.949 | 0.940 | 0.979 | 0.961 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
新疆 | 0.847 | 1.000 | 0.847 | 0.860 | 1.000 | 0.860 | 0.705 | 1.000 | 0.705 | 0.471 | 1.000 | 0.471 |
贵州 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Tab. 2
The comparisons of energy consumption efficiency on trash discharge among China's major energy output provinces from 2000 to 2010
2000 | 2003 | 2006 | 2010 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技 术效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模 效率 | |
全国 | 0.001 | 0.018 | 0.031 | 0.001 | 0.021 | 0.036 | 0.001 | 0.021 | 0.039 | 0.001 | 0.018 | 0.039 |
山西 | 0.984 | 1.000 | 0.984 | 0.839 | 1.000 | 0.839 | 0.920 | 0.936 | 0.982 | 1.000 | 1.000 | 1.000 |
内蒙古 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.741 | 0.746 | 0.993 | 0.431 | 0.462 | 0.933 |
陕西 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
黑龙江 | 0.735 | 0.750 | 0.981 | 0.891 | 0.953 | 0.935 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
新疆 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
贵州 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Tab. 3
The comparisons of energy consumption efficiency on economy among China's major energy input provinces from 2000 to 2010
2000 | 2003 | 2006 | 2010 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模 效率 | |
全国 | 0.828 | 1.000 | 0.828 | 0.831 | 1.000 | 0.831 | 0.820 | 1.000 | 0.820 | 0.760 | 1.000 | 0.760 |
广东 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
江苏 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
河北 | 0.976 | 1.000 | 0.976 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.995 | 1.000 | 0.995 |
浙江 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.944 | 1.000 | 0.944 | 1.000 | 1.000 | 1.000 |
山东 | 0.953 | 0.954 | 0.998 | 1.000 | 1.000 | 1.000 | 0.948 | 0.976 | 0.971 | 0.969 | 0.984 | 0.985 |
湖北 | 0.801 | 0.885 | 0.905 | 0.907 | 1.000 | 0.907 | 0.939 | 1.000 | 0.939 | 1.000 | 1.000 | 1.000 |
辽宁 | 0.666 | 0.671 | 0.992 | 0.798 | 0.814 | 0.980 | 0.893 | 0.946 | 0.944 | 1.000 | 1.000 | 1.000 |
上海 | 0.987 | 1.000 | 0.987 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Tab. 4
The comparisons of energy consumption efficiency on trash discharge among China's major energy input provinces from 2000 to 2010
2000 | 2003 | 2006 | 2010 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模 效率 | 综合 效率 | 纯技术 效率 | 规模效率 | 综合效率 | 纯技术效率 | 规模效率 | |
全国 | 0.001 | 0.018 | 0.031 | 0.001 | 0.021 | 0.036 | 0.001 | 0.021 | 0.039 | 0.001 | 0.018 | 0.039 |
广东 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.379 | 0.530 | 0.716 |
江苏 | 0.450 | 0.608 | 0.740 | 0.596 | 0.669 | 0.890 | 0.496 | 0.513 | 0.967 | 0.502 | 0.553 | 0.907 |
河北 | 0.247 | 0.341 | 0.724 | 0.251 | 0.313 | 0.804 | 0.270 | 0.293 | 0.921 | 0.216 | 0.288 | 0.749 |
浙江 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
山东 | 0.179 | 0.275 | 0.650 | 0.130 | 0.249 | 0.524 | 0.137 | 0.242 | 0.568 | 0.171 | 0.278 | 0.617 |
湖北 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.766 | 0.900 | 0.851 |
辽宁 | 0.137 | 0.274 | 0.500 | 0.253 | 0.362 | 0.698 | 0.324 | 0.397 | 0.815 | 0.402 | 0.540 | 0.744 |
上海 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Tab. 5
The change of energy consumption efficiency on economy of each major energy output province of China from 2000 to 2010 based on Malmquist index
综合效率 变化 | 技术进步 变化 | 纯技术 效率变化 | 规模效率 变化 | 生产率 变化 | |
---|---|---|---|---|---|
全国 | 0.991 | 1.005 | 1.000 | 0.991 | 0.996 |
山西 | 1.000 | 0.963 | 1.000 | 1.000 | 0.963 |
内蒙古 | 0.981 | 0.944 | 0.984 | 0.997 | 0.926 |
陕西 | 1.000 | 1.021 | 1.000 | 1.000 | 1.021 |
黑龙江 | 1.010 | 1.031 | 1.005 | 1.005 | 1.042 |
新疆 | 0.943 | 1.030 | 1.000 | 0.943 | 0.971 |
贵州 | 1.000 | 1.003 | 1.000 | 1.000 | 1.003 |
Tab. 6
The change of energy consumption efficiency on trash discharge of each China's major energy output province from 2000 to 2010 based on Malmquist index
综合效率 变化 | 技术进步 变化 | 纯技术 效率变化 | 规模效率 变化 | 生产率 变化 | |
---|---|---|---|---|---|
全国 | 1.022 | 0.853 | 0.999 | 1.023 | 0.872 |
山西 | 1.002 | 0.929 | 1.000 | 1.002 | 0.930 |
内蒙古 | 0.919 | 0.736 | 0.926 | 0.993 | 0.677 |
陕西 | 1.000 | 0.823 | 1.000 | 1.000 | 0.823 |
黑龙江 | 1.031 | 0.902 | 1.029 | 1.002 | 0.930 |
新疆 | 1.000 | 0.825 | 1.000 | 1.000 | 0.825 |
贵州 | 1.000 | 0.930 | 1.000 | 1.000 | 0.930 |
Tab. 3
The change of energy consumption efficiency on economy of each China's major energy input provinces from 2000 to 2010 based on Malmquist index
综合效率 变化 | 技术进步 变化 | 纯技术 效率变化 | 规模效率 变化 | 生产率 变化 | |
---|---|---|---|---|---|
全国 | 0.991 | 1.005 | 1.000 | 0.991 | 0.996 |
广东 | 1.000 | 0.902 | 1.000 | 1.000 | 0.902 |
江苏 | 1.000 | 0.987 | 1.000 | 1.000 | 0.987 |
河北 | 1.002 | 1.000 | 1.000 | 1.002 | 1.002 |
浙江 | 1.000 | 0.835 | 1.000 | 1.000 | 0.835 |
山东 | 1.002 | 0.991 | 1.003 | 0.999 | 0.993 |
湖北 | 1.022 | 0.986 | 1.012 | 1.010 | 1.008 |
辽宁 | 1.041 | 1.005 | 1.041 | 1.001 | 1.046 |
上海 | 1.001 | 1.019 | 1.000 | 1.001 | 1.020 |
Tab. 4
The change of energy consumption efficiency on trash discharge of each China's major energy input province from 2000 to 2010 based on Malmquist index
综合效率 变化 | 技术进步 变化 | 纯技术 效率变化 | 规模效率 变化 | 生产率 变化 | |
---|---|---|---|---|---|
全国 | 1.022 | 0.853 | 0.999 | 1.023 | 0.872 |
广东 | 0.908 | 0.822 | 0.938 | 0.967 | 0.746 |
江苏 | 1.011 | 0.904 | 0.991 | 1.021 | 0.914 |
河北 | 0.987 | 0.909 | 0.983 | 1.003 | 0.896 |
浙江 | 1.000 | 0.732 | 1.000 | 1.000 | 0.732 |
山东 | 0.996 | 0.870 | 1.001 | 0.995 | 0.866 |
湖北 | 0.974 | 0.807 | 0.989 | 0.984 | 0.786 |
辽宁 | 1.114 | 0.839 | 1.070 | 1.041 | 0.934 |
上海 | 1.000 | 0.907 | 1.000 | 1.000 | 0.907 |
[1] | Hu Genhua, Qin Siyi.Comparative research of total-factor energy efficiency in BRICS based on DEA and Tobit models. Resources Science, 2012, 34(3): 533-540. |
[胡根华, 秦嗣毅. “金砖国家”全要素能源效率的比较研究-基于DEA-Tobit模型. 资源科学, 2012, 34(3): 533-540.] | |
[2] | Ma Hailiang, Huang Dechun, Yao Huize.Total-factor energy analysis of three major economic regions in China: Based on Super-DEA and Malmquist. China Population Resources and Environment, 2011, 21(11): 38-43. |
[马海良, 黄德春, 姚惠泽. 中国三大经济区域全要素能源效率研究: 基于超效率 DEA模型和Malmquist指数. 中国人口·资源与环境, 2011, 21(11): 38-43.] | |
[3] | Liu Litao, Shen Lei.Spation-temporal evolution pattern and influential factor of regional total fact or energy efficiency in China. Journal of Natural Resources, 2010, 25(12): 2142-2153. |
[刘立涛, 沈镭. 中国区域能源效率时空演进格局及其影响因素分析. 自然资源学报, 2010, 25(12): 2142-2153.] | |
[4] | Xue Jingjing, Shen Lei, Liu Litao.et al.Coordinated development between regional energy efficiency and the economy in China. Resources Science, 2013, 35(4): 713-721. |
[薛静静, 沈镭, 刘立涛等. 中国区域能源利用效率与经济水平协调发展研究. 资源科学, 2013, 35(4): 713-721.] | |
[5] | Wang Ke, Yu Shiwei, Zhang Wei.China's regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation. Mathematical and Computer Modelling, 2013, 58(5/6): 1117-1127. |
[6] | Zhao Yuan, Hao Lisha, Yang Zuying.Regional differentiation of energy efficiency and its causes in Jiangsu. Acta Geographica Sinica, 2010, 65(8): 919-928. |
[赵媛, 郝丽莎, 杨足膺. 江苏省能源效率空间分异特征与成因分析. 地理学报, 2010, 65(8): 919-928.] | |
[7] | Li Shixiang, Cheng Jinhua.Analysis on the energy efficiency about main industrial provinces in China: 1990-2006. The Journal of Quantitative & Technical Economics, 2008, (10): 32-42. |
[李世祥, 成金华. 中国主要工业省区-能源效率分析: 1990-2006年. 数量经济技术经济研究, 2008, (10): 32-42.] | |
[8] | Li Zhi, Li Guoping.A study on the regional difference of Chinese urban energy efficiency and its influential factors. Economic Theory and Business Management, 2010, (7): 17-23. |
[李治, 李国平. 中国城市能源效率差异特征及影响因素分析. 经济理论与经济管理, 2010, (7): 17-23.] | |
[9] | Wo Xiaoming.A study on China's energy efficiency based on industrial framework [D]. Chongqing: Chongqing University, 2012: 1-126. |
[呙小明. 基于产业层次的中国能源效率研究[D]. 重庆: 重庆大学, 2012: 1-126.] | |
[10] | Wang Haining, Chen Yuanyuan.Industrial agglomeration and industrial energy efficiency: empirical analyses based on 25 industries in China. Journal of Finance and Economics, 2010, 36(9): 69-77. |
[王海宁, 陈媛媛. 产业集聚效应与工业能源效率研究: 基于中国25个工业行业的实证分析. 财经研究, 2010, 36(9): 69-77.] | |
[11] | Hernández-Sancho F, Molinos-Senante M, Sala-Garrido R.Energy efficiency in Spanish wastewater treatment plants: A non-radial DEA approach. Science of the Total Environment, 2011, 409(14/15): 2693-2699. |
[12] | Azadeh A, Amalnick M S, Ghaderi S F.et al.An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors. Energy Policy, 2007, 35(7): 3792-3806. |
[13] | Xiao Tao, Zhang Zongyi, Wang Feng.The relationship between regional energy consumption and economic growth in China. Journal of Industrial Engineering and Engineering Management, 2012, 26(3): 74-79. |
[肖涛, 张宗益, 汪锋. 我国区域能源消耗与经济增长关系: 基于能源输入省与输出省面板数据的实证分析. 管理工程学报, 2012, 26(3): 74-79.] | |
[14] | Dyckhoff H, Allen K.Measuring ecological efficiency with data envelopment analysis. European Journal of Operational Research, 2001, (2): 312-325. |
[15] | Shi Dan.Regional differences in China's energy efficiency and conservation potentials. China Industrial Economy, 2006, (10): 49-58. |
[史丹. 中国能源效率的地区差异与节能潜力分析. 中国工业经济, 2006, (10): 49-58.] | |
[16] | Banker R D, Charnes A, Cooper W W.Some models for estimating technical and scale inefficiencies in envelopment analysis. Management Science, 1984, 30(9): 1078-1092. |
[17] | Guo Qingwang, Zhao Zhiyun, Jia Junxue.The analysis of provincial total productivity in China. The Journal of World Economy, 2005, (5): 46-53. |
[郭庆旺, 赵志耘, 贾俊雪. 中国省份经济的全要素生产率分析. 世界经济, 2005, (5): 46-53.] | |
[18] | Zhao Xiaolei, Shao Shuai, Yang Lili.Administrative systems and the increase in economic growth efficiency in China's development zones: An empirical analysis based on Malmquist index and GMM estimation. Journal of Finance and Economics, 2011, 37(8): 4-15. |
[赵晓雷, 邵帅, 杨莉莉. 管理体制与中国开发区经济发展效率增长: 基于Malmquist指数和GMM的实证分析. 财经研究, 2011, 37(8): 4-15.] | |
[19] | Yuan Yijun, Liu Hao, Bai Nan.Total factor productivity measurement of China's producer service: Based on Malmquist index. China Soft Science, 2009, (1): 159-167. |
[原毅军, 刘浩, 白楠. 中国生产性服务业全要素生产率测度-基于非参数Malmquist指数方法的研究. 中国软科学, 2009, (1): 159-167.] | |
[20] | Zhang Jianhua, Wang Peng.Chinese banks, generalized Malmquist productivity index. Economic Research Journal, 2010, (8): 128-139. |
[张健华, 王鹏. 中国银行业广义Malmquist生产率指数研究. 经济研究, 2010, (8): 128-139.] | |
[21] | Liu Yong.Evaluating Chinese urban material metabolism efficiency based on DEA-Malmquist. Journal of Natural Resources, 2010, 25(1): 12-17. |
[刘勇. 基于DEA-Malmquist的我国城市物质代谢效率评价. 自然资源学报, 2010, 25(1): 12-17.] | |
[22] | Li Peng, Ma Zhanxin.The evaluation of city competitiveness in Shandong province. Energy Procedia, 2011, 5: 472-476. |
[23] | Zheng Junjun, Han Xiao, Pan Ziyi.Analysis on TFP growth and convergence in real estate development companies based on Malmquist index method. China Soft Science, 2013, (3): 141-151. |
[郑君君, 韩笑, 潘子怡. 基于Malmquist指数的房地产开发企业全要素生产率变动及收敛性研究. 中国软科学, 2013, (3): 141-151.] | |
[24] | Xu Erming, Gao Huai.Evaluation and dynamic evolution of competitiveness of iron and steel firms of China. China Industrial Industry, 2004, (11): 40-46. |
[徐二明, 高怀. 中国钢铁企业竞争力评价及其动态演变规律分析. 中国工业经济, 2004, (11): 40-46.] | |
[25] | Udaya S, Pakkala T P M, Mallikarjunappa T. A modified directional distance formulation of DEA to assess bankruptcy: An application to IT/ITES companies in India. Expert Systems with Applications, 2012, 39(1/2): 1988-1997. |
[26] | Liao Huchang, Dong Yiming.Utilization efficiency of water resources in 12 western provinces of China based on the DEA and Malmquist TFP index. Resources Science, 2011, 33(2): 273-279. |
[廖虎昌, 董毅明. 基于DEA和Malmquist指数的西部12省水资源利用效率研究. 资源科学, 2011, 33(2): 273-279.] | |
[27] | Pang Ying, Li Shuchao, Zhou Lei.et al. Resources allocation efficiency of food production and its regional difference in China: Empirical analysis of dynamic non-parametric Malmquist index approach. Economic Geography, 2008, 28(1): 113-117. |
[庞英, 李树超, 周蕾等. 中国粮食生产资源配置效率及其区域差异: 基于动态Malmquist指数的经验. 经济地理, 2008, 28(1): 113-117.] | |
[28] | Hu Jinli, Wang Shichuan, Ye Fangyu.Total-factor water efficiency of regions in China. Resources Policy, 2006, 31(4): 217-230. |
[29] | Charnes A, Cooper W W, Rhodes E.Measuring the efficiency of decision making units. European Journal of Operational Research, 1978, (6): 429-444. |
[30] | Banker R D.Estimating most productive scale size using Data Envelopment Analysis. European Journal of Operational Research, 1984, 17: 35-44. |
[31] | You Heyuan, Wu Cifang.Carbon emission efficiency and low carbon optimization of land use: Based on the perspective of energy consumption. Journal of Natural Resources, 2010, 25(11): 1875-1884. |
[游和远, 吴次芳. 土地利用的碳排放效率及其低碳优化: 基于能源消耗的视角. 自然资源学报, 2010, 25(11): 1875-1884.] |