基于DEA 的中国特大城市资源效率及其变化

doi:10.11821/xb200904003

Abstract

Abstract:

The factors resources efficiencies (including Technological Efficiency, TE; Pure Technological Efficiency, PTE; and Scale Efficiency, SE) of metropolises in China in 1990, 2000 and 2006, and their changing trends in China during the period 1990-2006 are investigated using DEA model and Malmquist index model, respectively. Firstly, the DEA model results show the efficiencies were not too high, with the characteristics of almost decreasing from Eastern Coastal China to Western China, and only few metropolises were in DEA efficiencies. Secondly, the results also show the PTEs were correlated with the urban population sizes of metropolises negatively, and the SEs correlated with the urban population sizes of metropolises positively in 1990, 2000, 2006, that is, with urban population sizes getting larger the corresponding PTEs were decreasing accordingly, and the SEs were increasing consequently. Thirdly, the Malmquist index results display the TE changing trends were increasing weakly, the technological changing trends were decreasing, and the total factor productivity changing trends are decreasing more apparently during 1990-2006, in which they were all increasing during the sub-period 1990-2000, and all decreasing during the sub-period 2000-2006. Fourthly, the Malmquist index results also demonstrate the TE changing trend was slightly increasing in Eastern Coastal China, while it was decreasing in Central China, and decreasing evidently in Western China. And with the increase of urban population size, the increasing trends of SEs became weaker and weaker. And the main reasons for the relatively low urban efficiencies and their changing trends, as well as a slight increase of total factor productivity changing trends mainly lie in the technological degeneracy and a significant decreasing trend in PTE during 2000-2006. Finally, the analyses also shed some highlights on the importance and significances to develop some metropolises with a proper size of population in China through implementing intensive factor resources utilization mode based on sustainable development concept.

Key words: DEA and Malmquist index methods, metropolis, factor resources efficiency, changing trend, Chin

GUO Tengyun, XU Yong, WANG Zhiqiang. The Analyses of Metropolitan Efficiencies and Their Changes in China Based on DEA and Malmquist Index Models[J].Acta Geographica Sinica, 2009, 64(4): 408-416.

References

[1] Chen Gangqiang, Li Xun, Xu Xueqiang. Spatial agglomeration and evolution of urban population in China. Acta Geographica Sinica, 2008, 63(10): 1045-1054.
[陈刚强, 李郇, 许学强. 中国城市人口的空间集聚特征与规律分析. 地理学报, 2008, 63(10): 1045-1054.]

[2] Li Xun, Xu Xianxiang, Chen Haohui. Temporal and spatial changes of urban efficiency in the 1990s. Acta Geographica Sinica, 2005, 60(4): 615-625.
[李郇, 徐现祥, 陈浩辉. 20 世纪90 年代中国城市效率的时空变化. 地理学报, 2005, 60 (4): 615-625.]

[3] Yuan Xiaoling, Zhang Baoshan, Zhang Xiaoni. Evolution characters of China's cities based on the super-efficient DEA. Urban Economics, 2008, (6): 102-107.
[袁晓玲, 张宝山, 张小妮. 基于超效率DEA 的城市效率演变特征. 城市经济, 2008, (6): 102-107.]

[4] Daniel J G. Productivity and efficiency in urban railways: Parametric and non-parametric estimates. Transportation Research Part E: Logistics and Transportation Review, 2008, 44(1): 84-99.

[5] Attah K B. The technical efficiency of Canadian urban transit systems. Transportation Research Part E: Logistics and Transportation Review, 2004, 40(5): 401-416.

[6] Kerstens K. Technical efficiency measurement and explanation of French urban transit companies. Transportation Research Part A: Policy and Practice, 1996, 30(6): 431-452.

[7] Toshiyuki S. Measuring the industrial performance of Chinese cities by data envelopment analysis. Socio-Economic Planning Sciences, 1992, 26(2): 75-88.

[8] Matthew G K. A DEA approach for evaluating the efficiency and effectiveness of urban transit systems. European Journal of Operational Research, 2004, 152(2): 354-364.

[9] Charnes A, William W Cooper, Shanling Li. Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities. Socio-Economic Planning Sciences, 1989, 23(6): 325-344

[10] G觟ran Bergendahl, Ted Lindblom. Evaluating the performance of Swedish savings banks according to service efficiency. European Journal of Operational Research, 2008, 185(3): 1663-1673.

[11] Barros C P. Measuring efficiency in the hotel sector. Annals of Tourism Research, 2005, 32(2): 456-477.

[12] Ban Maosheng, Fang Chuanglin, Liu Xiaoli et al. Comprehensive evaluation of land use performance of Beijing high-tech industrial zone. Acta Geographica Sinica, 2008, 63(2): 175-184.
[班茂盛, 方创琳, 刘晓丽等. 北京高新技术产业区土地利用绩效综合评价. 地理学报, 2008, 63(2): 175-184.]

[13] Xu Chensheng. Assessment on efficiencies of hi-tech parks in China based on DEA. Scientific Progress and Countermeasure, 2007, 24(8): 117-119.
[许陈生. 基于DEA 的我国高新区相对效率评价, 科技进步与对策, 2007, 24 (8): 117-119.]

[14] Ye Shiqi, Mo Jianfang. Efficiency analysis on macroeconomics invest-production of four special economic zones. Journal of Jinan University, 2002, 23(3): 15-19.
[叶世绮, 莫剑芳. 四个经济特区宏观经济投入产出有效性分析. 暨南大学学报(自然科学版), 2002, 23(3): 15-19.]

[15] Zha Weixiong, Xiong Guilin, Liu Huilin et al. An efficiency evaluation of the transportation territorial economics compound system. System Engineering, 2007, 25(5): 60-65.
[查伟雄, 熊桂林, 刘会林等. 交通运输—区域经济复合系统的效率评价. 系统工程, 2007, 25(5): 60-65.]

[16] Pang Ruizhi. Dynamic evaluation of main sea ports in Mainland China based on DEA model. Economic Research Journal, 2006, (6): 92-100.
[庞瑞芝. 我国主要沿海港口的动态效率评价. 经济研究, 2006, (6): 92-100.]

[17] Yang Kaizhong, Xie Xie. The analysis about DEA-efficiency of China cities' input-output. Geography and Territorial Research, 2002, 18(3): 45-47.
[杨开忠, 谢燮. 中国城市投入产出有效性的数据包络分析. 地理学与国土研究, 2002, 18(3): 45-47.]

[18] Guo Haitao, Yu Linlin, Li Jingtao. Assessment on efficiency of resources cities with data envelopment analysis. China Mining Magazine, 2007, 16(6): 5-9.
[郭海涛, 于琳琳, 李经涛. 我国资源型城市效率的DEA 方法评价, 中国矿业, 2007, 16(6): 5-9.]

[19] Wei Quanling. Effective Methods on Evaluating Relative Efficiency. Beijing: Science Press, 2004.
[魏权龄. 数据包络分析. 北京: 科学出版社, 2004.]

[20] F覿re R, Grosskopf S, Linderdgren B et al. Productivity changes in Swedish pharmacies 1980-1989: A nonparametric Malmquist approach. Journal of Productivity Analysis, 1992, 3: 85-101.

[21] F覿re R, Grosskopf S, Norris M et al. Productivity growth, technical progress, and efficiency change in industrialized countries. American Economic Review, 1994, 84(1): 66-83.

[22] The World Bank. Monitoring Environmental Progress: A Report on Work in Progress. Washington DC, The World Bank, 1995.

[23] Sun Linlin, Ren Ruo'en. Capital input measurement: A survey. Economics, 2005, 4(4): 823-842.
[孙琳琳, 任若恩. 资本投入测量综述. 经济学, 2005, 4(4): 823-842.]

The Analyses of Metropolitan Efficiencies and Their Changes in China Based on DEA and Malmquist Index Models

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

[1]	LI Gang, XUE Shuyan, MA Xueyao, ZHOU Junjun, XU Tingting, WANG Jiaobei. Spatio-temporal pattern evolution and formation mechanism of missing person incidents in China [J]. Acta Geographica Sinica, 2021, 76(2): 310-325.
[2]	GU Hengyu, SHEN Tiyan. Spatial evolution characteristics and driving forces of Chinese highly educated talents [J]. Acta Geographica Sinica, 2021, 76(2): 326-340.
[3]	ZHU Shengjun, JIN Wenwan. Local export variety, regional institutions and firm related diversification [J]. Acta Geographica Sinica, 2021, 76(2): 398-414.
[4]	JIN Fengjun, YAO Zuolin, CHEN Zhuo. Development characteristics and construction prospects for an integrated economic zone in the South China Sea Region [J]. Acta Geographica Sinica, 2021, 76(2): 428-443.
[5]	SUN Hongri, LIU Yanjun, ZHOU Guolei. The spatiotemporal differentiation and mechanisms of traffic dominance in Northeast China [J]. Acta Geographica Sinica, 2021, 76(2): 444-458.
[6]	GE Quansheng, ZHU Huiyi. Changes of the physical and human geographical environment in China during the past 2000 years [J]. Acta Geographica Sinica, 2021, 76(1): 3-14.
[7]	ZHANG Xinghang, ZHANG Baiping, WANG Jing, YU Fuqin, ZHAO Chao, YAO Yonghui. North-south transect series in vegetation of eastern China's north-south transitional zone and their significance for determining climate dividing line [J]. Acta Geographica Sinica, 2021, 76(1): 30-43.
[8]	LI Zhe, DING Yongjian, CHEN Aijiao, ZHANG Zhihua, ZHANG Shiqiang. Characteristics of warming hiatus of the climate change in Northwest China from 1960 to 2019 [J]. Acta Geographica Sinica, 2020, 75(9): 1845-1859.
[9]	GUO Zecheng, WEI Wei, SHI Peiji, ZHOU Liang, WANG Xufeng, LI Zhenya, PANG Sufei, XIE Binbin. Spatiotemporal changes of land desertification sensitivity in the arid region of Northwest China [J]. Acta Geographica Sinica, 2020, 75(9): 1948-1965.
[10]	AO Rongjun, CHANG Liang. Influencing mechanism of regional ageing in China based on the Structural Equation Model [J]. Acta Geographica Sinica, 2020, 75(8): 1572-1584.
[11]	SONG Zhouying, ZHU Qiaoling. Spatio-temporal pattern and driving forces of urbanization in China's border areas [J]. Acta Geographica Sinica, 2020, 75(8): 1603-1616.
[12]	MA Chunyue, Mamat Sawut, YAO Jie, Gulnur Isak. Spatio-temporal changes of cotton production in China from 1950 to 2015 [J]. Acta Geographica Sinica, 2020, 75(8): 1699-1710.
[13]	DENG Mingjiang, LONG Aihua, LI Jiang, DENG Xiaoya, ZHANG Pei. Theoretical analysis of "natural-social-trading" ternary water cycle mode in the inland river basin of Northwest China [J]. Acta Geographica Sinica, 2020, 75(7): 1333-1345.
[14]	ZHENG Jingyun, ZHANG Xuezhen, LIU Yang, HAO Zhixin. The assessment on hydroclimatic changes of different regions in China at multi-scale during the past millennium [J]. Acta Geographica Sinica, 2020, 75(7): 1432-1450.
[15]	TAO Zexing, GE Quansheng, WANG Huanjiong. Spatio-temporal variations in the thermal requirement of the first flowering dates of Salix babylonica and Ulmus pumila in China during 1963-2018 [J]. Acta Geographica Sinica, 2020, 75(7): 1451-1464.