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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

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2018 Impact Factor: 3.883

Front Envir Sci Eng    0, Vol. Issue () : 559-568    https://doi.org/10.1007/s11783-012-0400-4
RESEARCH ARTICLE
Industrial eco-efficiency and its spatial-temporal differentiation in China
Wei YANG1,2,3, Fengjun JIN1,3, Chengjin WANG1,3(), Chen LV4
1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3. Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China; 4. School of Environment, Tsinghua University, Beijing 100084, China
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Abstract

The aim of this paper is to study the spatial-temporal differentiation of industrial eco-efficiency in China. Using methods based on the data envelopment analysis (DEA) model and exploratory spatial data analysis (ESDA) and data from 1985, 1995, 2005, and 2008 of 30 provinces in China, the spatial-temporal pattern changes in industrial eco-efficiency are discussed. The results show that: first, the patterns of industrial eco-efficiency are dominated by clustering of relatively low efficiency provinces; second, spatial relationships between the industrial eco-efficiencies of different provinces changed slightly throughout the period and the provinces persistently exhibit spatial concentration of relatively low industrial eco-efficiency; finally, there is an obvious trend in the polarization of industrial eco-efficiency, i.e., the higher level spatial units are concentrated in eastern China, and the lower level spatial units are mainly in western and central China.

Keywords industrial eco-efficiency      data envelopment analysis (DEA) model      exploratory spatial data analysis (ESDA)     
Corresponding Author(s): WANG Chengjin,Email:cjwang@igsnrr.ac.cn   
Issue Date: 01 August 2012
 Cite this article:   
Wei YANG,Fengjun JIN,Chengjin WANG, et al. Industrial eco-efficiency and its spatial-temporal differentiation in China[J]. Front Envir Sci Eng, 0, (): 559-568.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-012-0400-4
https://academic.hep.com.cn/fese/EN/Y0/V/I/559
categoryvariableunits
inputsindustrial energy use10000 t of standard coal equivalent (SCE)
industrial electricity consumption100 × 106 kwh
industrial water consumption100 × 106 cu. m
economic outputgross industrial output value100 × 106 CNY
undesirable outputtotal volume of industrial waste water10000 t
total volume of industrial waste gas emission100 × 106 cu. m
volume of sulfur dioxide emission by industry10000 t
industrial solid waste produced10000 t
Tab.1  Evaluation index system of industrial eco-efficiency in China
areaDMUsyear
1985199520052008
eastBeijing0.5480.5151.0001.000
Tianjin1.0001.0000.5550.526
Hebei0.2950.2080.1390.143
Shandong1.0000.3000.2140.489
Jiangsu1.0001.0001.0001.000
Shanghai1.0001.0001.0001.000
Zhejiang1.0000.5880.3160.327
Fujian0.4150.3170.1980.181
Guangdong0.5180.4020.2720.442
Hainan1.0001.0001.0001.000
centralShanxi0.2270.1770.1490.133
Henan0.2600.2220.1350.169
Anhui0.2690.2740.1800.179
Jiangxi0.2620.2250.2080.234
Hubei0.3180.2060.1090.121
Hunan0.2200.1660.1670.208
northeastLiaoning0.2960.2400.2201.000
Jilin0.3170.2530.2830.280
Heilongjiang0.2120.2380.2790.252
westInner Mongolia0.3130.2230.1500.136
Shaanxi0.3370.2360.2070.191
Gansu0.2250.2010.2420.207
Qinghai0.3661.0000.3600.299
Ningxia0.3380.3630.1550.124
Xinjiang0.5300.3050.2370.194
Sichuan0.2100.2430.1250.150
Chongqing0.4910.2630.2700.256
Guizhou0.2030.1910.2130.195
Yunnan0.2640.2200.1630.145
Guangxi0.2390.2240.1140.123
Tab.2  Industrial eco-efficiency in China
yearHHHLLHLL
number%number%number%number%
1985516.67516.67413.331653.33
1995413.33413.336201653.33
2005413.3326.676201860
2008413.33413.33516.671756.67
Tab.3  Change in spatial types of industrial eco-efficiency in China
Fig.1  Moran scatterplots of industrial eco-efficiency in China’s provinces: (a) 1985; (b) 1995; (c) 2005; (d) 2008
Fig.2  Spatial pattern change of industrial eco-efficiency in China: (a) 1985; (b) 1995; (c) 2005; (d) 2008
1 Korhonen P J, Luptacik M. Eco-efficiency analysis of power plants: an extension of data envelopment analysis. European Journal of Operational Research , 2004, 154(2): 437-446
doi: 10.1016/S0377-2217(03)00180-2
2 Zhang B, Bi J, Fan Z Y, Yuan Z W, Ge J J. Eco-efficiency analysis of industrial system in China: a data envelopment analysis approach. Ecological Economics , 2008, 68(1-2): 306-316
doi: 10.1016/j.ecolecon.2008.03.009
3 Mickwitz P, Melanen M, Rosenstr?m U, Sepp?l? J. Regional eco-efficiency indicators: a participatory approach. Journal of Cleaner Production , 2006, 14(18): 1603-1611
doi: 10.1016/j.jclepro.2005.05.025
4 Stefan S, Andreas S. ?kologische Rationalit?t (in English: Environmental rationality). Die Unternehmung , 1990, 4: 273-290 (In German)
5 Stephan Schmidheiny and the Business Council for Sustainable Development. Changing Course: A Global Business Perspective on Development and the Environment. Cambridge MA: MIT Press, 1992
6 Bj?rn S. Eco-Efficiency: Creating More Value with Less Impact. Conches-Geneva: WBCSD, 2000, 5-36
7 Kuosmanen T, Kortelainen M. Measuring eco-efficiency of production with data envelopment analysis. Journal of Industrial Ecology , 2005, 9(9): 59-72
doi: 10.1162/108819805775247846
8 World Business Council for Sustainable Development. Measuring Eco-Efficiency: A Guide to Reporting Company Performance. Conches-Geneva: WBCSD, 2000, 2-30
9 Glauser M, Muller P. Eco-efficiency: a prerequisite for future success. Chimia , 1997, (51): 201-206
10 Schaltegger S, Synnestvedt T. The link between ‘green’ and economic success: environmental management as the crucial trigger between environmental and economic performance. Journal of Environmental Management , 2002, 65(4): 339-346
pmid:12369398
11 Zhou G M, Peng H, Cao F Z.Circular economy and industrial eco-efficiency indicator system. Urban Environment & Urban Ecology , 2003, 16(6): 201-203 (in Chinese)
12 Wang Z, Shi L, Liu J R, Sun N. Methodology and application of eco-efficiency analysis on regional industry. China Population, Resources and Environment , 2008, 18(6):121-126 (in Chinese)
13 Zhu D J, Qiu S. Eco-efficiency indicators and their demonstration as the circular economy measurement in China. Resources and Environment in the Yangtze Basin , 2008, 17(1): 1-5 (in Chinese)
14 Zhang Y, Yang Z F. Emergy analysis of urban material metabolism and evaluation of eco-efficiency in Beijing. Acta Seientiae Circumstantiae , 2007, 27(11): 1892-1899 (in Chinese)
15 Wu X Q, Wang Y, Liu N, Lu G F. Regional eco-efficiency evaluation of Jiangsu province based on MFA. Resources and Environment in the Yangtze Basin , 2009, 18(10): 890-895 (in Chinese)
16 Lv B, Yang J X. Review of methodology and application of eco-efficiency. Acta Ecologica Sinica , 2006, 26(11): 3898-3906 (in Chinese)
17 Srdjevic B, Medeiros Y D P, Porto R L L. Data envelopment analysis of reservoir system performance. Computers & Operations Research , 2005, 32(12): 3209-3266
doi: 10.1016/j.cor.2004.05.008
18 Kuosmanen T, Kortelainen M. Measuring Eco-efficiency with Data Envelopment Analysis. Journal of Industrial Ecology , 2005, 11(4): 59-72
doi: 10.1162/108819805775247846
19 Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research , 1978, 2(6): 429-444
doi: 10.1016/0377-2217(78)90138-8
20 Koopmans T C. Analysis of production as an efficient combination of activities. In: Koopmans T C, ed. Activity Analysis of Production and Allocation . New York: Cowles Commission,Wiely, 1951, 33-97
21 Yang B. Research on regional eco-efficiency of China from 2000 to 2006—an empirical analysis on DEA. Economic Geography , 2009, 29(7): 1197-1202 (in Chinese)
22 Yang W J. Measuring eco-efficiency with data envelopment analysis—an example of provincial industry in China. Science, Economy, Society , 2009, 27(116): 56-60, 65 (in Chinese)
23 Lawrence M. Seiford, Joe Zhu. Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research , 2002, 142(1): 16-20
doi: 10.1016/S0377-2217(01)00293-4
24 Allen K. DEA in the ecological context-an overview. In: Westermann G, ed. Data Envelopment Analysis in the Service Sector . Wiesbaden: Gabler, 1999, 203-235
25 F?re R, Grosskopf S, Lovell K, Pasurka C. Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. Review of Economics and Statistics , 1989, 71(1): 90-98
doi: 10.2307/1928055
26 Lovell C A K, Pastor J T, Turner J A. Measuring macroeconomic performance in the OECD: a comparison of European and non-European countries. European Journal of Operational Research , 1995, 87(3): 507-518
doi: 10.1016/0377-2217(95)00226-X
27 F?re R, Grosskopf S, Tyteca D. An activity analysis model of the environmental performance of firms application to fossil-fuel-fired electric utilities. Ecological Economics , 1996, 18(2): 161-175
doi: 10.1016/0921-8009(96)00019-5
28 Scheel H. Undesirable outputs in efficiency valuations. European Journal of Operational Research , 2001, 132(2): 400-410
doi: 10.1016/S0377-2217(00)00160-0
30 Vencheh A H, Matin R K, Kajani M T. Undesirable factors in efficiency measurement. Applied Mathematics and Computation , 2005, 163(2): 547-552
doi: 10.1016/j.amc.2004.02.022
31 Tone K. A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research , 2001, 130(3): 498-509
doi: 10.1016/S0377-2217(99)00407-5
32 Dyckhoff H, Allen K. Measuring ecological efficiency with data envelopment analysis(DEA). European Journal of Operational Research , 2001, 132(2): 312-325
doi: 10.1016/S0377-2217(00)00154-5
33 Sepp?l? J, Melanen M, M?enp?? I, Koskela S, Tenhunen J, Hiltunen M R. How can the eco-efficiency of a region be measured and monitored? Journal of Industrial Ecology , 2005, 9(9): 117-130
doi: 10.1162/108819805775247972
34 Anselin L. Exploratory spatial data analysis and geographic information systems. In: Painho M, ed. New Tools for Spatial Analysis . Luxembourg: Eurostat, 1994, 45-54
35 Anselin L. The Moran scatter plot as an ESDA tool to assess local instability in spatial association. In: Fisher M, Scholten H J, Unwin D, eds. Spatial Analytical Perspectives on GIS . London: Taylor & Francis, 1996, 111-125
36 Anselin L. Interactive techniques and exploratory spatial data analysis. In: Longley P A, Goodchild M F, Maguire D J, Wind D W, eds. Geographical Information Systems: Principles, Techniques, Management and Applications . New York: Wiley, 1998, 253-265
37 Gallo J, Ertur C. Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe,1980-1995. Papers in Regional Science , 2003, 82(2): 175-201
doi: 10.1007/s101100300145
38 Rey S. Spatial analysis of regional income inequality. In: Goodchild M, Janelle D, eds. Spatially Integrated Social Science: Examples in Best Practice . Oxford: Oxford University Press, 2004, 280-299
39 Wu S D, Wang Q. Regional economic disparities and co-ordination of economic development in coastal areas of southeastern China, 1995-2000. Acta Geographica Sinica , 2008, 63(2): 123-134 (in Chinese)
40 Sridharan S, Tunstall H, Lawder R, Mitchell R. An exploratory spatial data analysis approach to understanding the relationship between deprivation and mortality in Scotland. Social Science & Medicine , 2007, 65(9): 1942-1952
doi: 10.1016/j.socscimed.2007.05.052 pmid:17706850
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