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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front Envir Sci Eng    2013, Vol. 7 Issue (2) : 242-254    https://doi.org/10.1007/s11783-012-0443-6
RESEARCH ARTICLE
Estimation of regional physical imports and exports of EW-MFA in China using monetary input-output tables
Nan LI, Tianzhu ZHANG()
School of Environment, Tsinghua University, Beijing 100084, China
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Abstract

Given the statistical gaps in material flow among provinces in China, a method was introduced to estimate regional physical imports and exports (RPIE), which includes international and interregional imports/exports. This method uses provincial monetary input-output tables (MIOT) and international trade statistics. A coefficient matrix representing correlations between monetary value and physical mass for years 2000–2009 was obtained based on a detailed commodity classification and 22 material production sectors in MIOT. With the coefficient matrix as reference, RPIE was measured. Pilot calculation of both regional physical trade balance and domestic material consumption, as well as a brief analysis of these methods, were conducted using 2002 data.

Keywords economy-wide material flow accounts (EW-MFA)      monetary input-output table (MIOT)      regional physical imports and exports estimation     
Corresponding Author(s): ZHANG Tianzhu,Email:zhangtz@tsinghua.edu.cn   
Issue Date: 01 April 2013
 Cite this article:   
Nan LI,Tianzhu ZHANG. Estimation of regional physical imports and exports of EW-MFA in China using monetary input-output tables[J]. Front Envir Sci Eng, 2013, 7(2): 242-254.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-012-0443-6
https://academic.hep.com.cn/fese/EN/Y2013/V7/I2/242
Fig.1  National and provincial direct flow
Fig.2  National and provincial direct flow and indirect flow
Fig.3  Estimation of interregional imports and exports
IDsector name
01agriculture, forestry, animal husbandry and fishery
02mining and washing of coal
03extraction of petroleum and natural gas
04mining of metal ores
05mining and processing of nonmetal ores and other ores
06manufacture of foods and tobacco
07manufacture of textile
08manufacture of textile wearing apparel, footwear, caps, leather, fur, feather (down) and its products
09processing of timbers and manufacture of furniture
10papermaking, printing and manufacture of articles for culture, education and sports activities
11processing of petroleum, coking, processing of nuclear fuel
12chemical industry
13manufacture of nonmetallic mineral products
14smelting and rolling of metals
15manufacture of metal products
16manufacture of general purpose and special purpose machinery
17manufacture of transport equipment
18manufacture of electrical machinery and equipment
19manufacture of communication equipment, computer and other electronic equipment
20manufacture of measuring instrument and machinery for cultural activity and office work
21manufacture of artwork, other manufacture
22scrap and waste
Tab.1  Material production sectors
Fig.4  Regional MIOT layout
MIOT ID20002001200220032004
ICOEECOEICOEECOEICOEECOEICOEECOEICOEECOE
010.0026252660.0017959830.0029040680.0015078810.0025107210.0018553350.0022846640.0020481570.0019896320.001071481
020.0315658310.0376845240.0296667090.0337832750.0332450700.0330749560.0299342100.0340678750.0211434340.022701691
030.0046422100.0047557180.0051448890.0051622830.0053183760.0051827110.0045526900.0041965340.0036661890.003476299
040.0173572770.0008699860.0193932500.0005885120.0222704900.0004608240.0173687170.0005973120.0107749290.000152553
050.0053448950.0136015380.0052884890.0162419540.0057361460.0205059840.0051111850.0120480540.0045605540.009489916
060.0018704670.1341577880.0017819110.1238116590.0016373500.1539629440.0015754380.1746433200.0014397020.155078544
070.0002090510.0001246630.0001925530.0001172760.0002017490.0001071300.0002016540.0000982220.0002023100.000175419
080.0003245090.0000291670.0003033620.0000240200.0003283700.0000124900.0003094140.0000088920.0002937470.000034980
090.0005515020.0007483820.0004874260.0007331900.0004453270.0006671050.0004760910.0005538030.0003675320.000540619
100.0019392130.0009816130.0025601960.0009557710.0025571280.0009273490.0025653540.0009609700.0025321730.000856841
110.0012362500.0027362660.0013693800.0024128560.0013618180.0020887640.0011930380.0017427020.0009639990.001215379
120.0004307490.0012234030.0006014700.0010089310.0003910030.0013025440.0003678190.0012114700.0003716370.000863230
130.0011054070.0032481630.0019018460.0038667670.0014583820.0028345750.0012755550.0025333410.0010900910.002130637
140.0017836180.0023148380.0022319980.0017948990.0019943360.0016040790.0018028110.0014490260.0013216370.001258791
150.0001284500.0005110480.0001113980.0005075140.0000961030.0003013270.0000860450.0004437180.0000609940.000470435
160.0000670800.0001368670.0000510360.0001106080.0000697210.0001327340.0000564980.0001153400.0000607190.000103678
170.0000381160.0001195540.0000536220.0002877010.0000704130.0002759190.0000735050.0002466470.0000663180.000253836
180.0000112680.0000605370.0000094680.0000608590.0000073190.0000616530.0000084470.0000564670.0000042530.000048293
190.0000099220.0000148950.0000105190.0000229640.0000107540.0000172640.0000162340.0000115110.0000085130.000009131
200.0000132340.0000129890.0000090710.0001391060.0000056330.0000298520.0000130130.0001151580.0000051650.000100845
210.0001155970.0003198910.0001024560.0003438160.0000926970.0003617130.0000820990.0003622120.0000716410.000328893
220.0044359300.0009588020.0048415090.0010907940.0040910530.0010905170.0050091500.0008349910.0056908260.000680398
MIOTID20052006200720082009
ICOEECOEICOEECOEICOEECOEICOEECOEICOEECOE
010.0020413660.0012402860.0019127090.0009715220.0016178160.0010168850.0012423450.0007106710.0017214960.000722179
020.0189067110.0167450230.0235302680.0171840580.0210531630.0161265750.0116925040.0086671980.0120903090.009425125
030.0027174030.0027084210.0022160170.0021870940.0020554930.0019740150.0013874110.0014107380.0023012670.002139181
040.0095569110.0000981740.0091620930.0000746220.0071115540.0000844550.0053817990.0000573050.0089419100.000090158
050.0045412610.0087072090.0042086600.0085300380.0036474930.0059677830.0021772950.0045464430.0036658750.005263520
060.0015361390.1596341070.0014758240.1158380110.0010658780.1093978500.0007809510.0806341900.0010968730.087161980
070.0002199560.0001822820.0002164450.0001860980.0001379960.0000820170.0001340080.0001056920.0001548180.000097901
080.0002811610.0000509020.0002938880.0000497290.0002618210.0000018250.0002344050.0000010060.0002491470.000029933
090.0004154110.0005278080.0003363440.0005134320.0001459490.0000680030.0005223130.0002096280.0007894160.000170249
100.0027434860.0008518280.0027138120.0008887270.0024325360.0008660700.0021528200.0007049800.0028743350.000701941
110.0008570600.0009634820.0007817490.0009267290.0006966190.0007233930.0006375380.0005280780.0008612600.000429059
120.0005017400.0009735730.0004637250.0009740500.0003673970.0006607900.0001711110.0005426780.0001882890.000692886
130.0008659580.0041263650.0007282500.0047896730.0002402120.0037119840.0002110350.0026304990.0003784230.002261209
140.0010002430.0012219550.0007151550.0012331910.0005243920.0011181580.0004877220.0007674130.0007712310.000833258
150.0000906290.0004558410.0000838470.0004374490.0000401020.0003364300.0000344050.0002820330.0000502500.000224466
160.0000734670.0001609480.0000734630.0001574890.0000192540.0000495750.0000209220.0000775270.0000319750.000070023
170.0000930910.0004002020.0000814260.0004226400.0000255280.0001575360.0000291310.0001502820.0000526560.000099027
180.0000128770.0000959950.0000114730.0000852700.0000019600.0000324190.0000018130.0000246900.0000016470.000025595
190.0000121350.0000187340.0000112810.0000169610.0000044280.0000055230.0000041760.0000078810.0000038280.000004289
200.0000108870.0001016840.0000103020.0000959940.0000018790.0000072900.0000016830.0000069880.0000041200.000036687
210.0000945860.0003733010.0000876520.0003431990.0000433880.0002318690.0000456940.0001966070.0000434450.000191008
220.0054172390.0008943850.0053407360.0010312160.0045117400.0007905190.0040526370.0012624390.0042584140.001422878
Tab.2  ICOE and ECOE of year 2000-2009 (t·$)
Fig.5  ICOE’s changing trends for year 2000-2009 (sector 2 and 4 refer to the vice coordinate axis on the right)
Fig.6  ECOE’s changing trends for year 2000-2009 (sector 2, 3, 5, 6, and 13 refer to the vice coordinate axis on the right)
NamePTBECOEPTBICOEPTB
Beijing65.4336.8857.72
Tianjin49.358.0438.19
Hebei-135.7860.01-82.92
Shanxi-25.17-84.64-41.22
Inner Mongolia69.283.0551.39
Liaoning130.3724.80101.87
Jilin-155.8829.65-105.79
Heilongjiang-218.31-34.68-168.73
Shanghai121.8571.82108.34
Jiangsu-35.7739.08-15.56
Zhejiang63.6682.8068.83
Anhui-67.61-1.62-49.80
Fujian15.16-4.819.77
Jiangxi-41.43-2.12-30.81
Shandong-461.5629.58-328.95
Henan-48.622.73-34.75
Hubei41.0141.7141.20
Hunan-103.5231.77-66.99
Guangdong58.7764.7260.37
Guangxi-134.524.44-97.00
Hainan19.09-1.7113.48
Chongqing100.2113.6876.84
Sichuan-158.09-1.09-115.70
Guizhou-84.603.52-60.81
Yunnan-342.063.89-248.65
Shaanxi1.15-12.21-2.46
Gansu39.129.6531.16
Qinghai0.945.592.19
Ningxia3.45-3.061.69
Xinjiang-33.84-6.86-26.55
total-1267.95414.60-813.66
Tab.3  PTB, PTB, and PTB of year 2002 (10 t)
Fig.7  Provincial DEU, PTB, and DMC of year 2002
1 Ayres R. Industrial metabolism. In: Ausubel J, ed. Technology and Environment . Washington, D C: National Academy Press, 1989, 23-49
2 Fischer-Kowalski M, Hüttler W. Society’s metabolism. Journal of Industrial Ecology , 1998, 2(4): 107-136
doi: 10.1162/jiec.1998.2.4.107
3 Eurostat. Economy Wide Material Flow Accounts and Derived Indicators. A Methodological Guide . Luxembourg: Office of Oficial publicaitons of the European Communities, 2001
4 Eurostat. Economy Wide Material Flow Accounts: Compilation Guidelines for Reporting to the 2009 Eurostat Questionnaire. Luxembourg: Office of Oficial publicaitons of the European Communities, 2009
5 OECD. Measuring Material Flows and Resource Productivity. Paris: OECD, 2008
6 Xu Y, Zhang T. A new approach to modeling waste in physical input-output analysis. Ecological Economics , 2009, 68(10): 2475-2478
doi: 10.1016/j.ecolecon.2009.04.010
7 Suh S. A note on the calculus for physical input-output analysis and its application to land appropriation of international trade activities. Ecological Economics , 2004, 48(1): 9-17
doi: 10.1016/j.ecolecon.2003.09.003
8 Ayres R U, Simonis U E. Industrial Metabolism: Restructuring for Sustainable Development. Tokyo: United Nations University Press, 1993, 163-193
9 Hendriks C, Obernosterer R, Muller D, Kytzia S, Baccini P, Brunner P H. Material flow analysis: a tool to support environmental policy decision making. Case-studies on the city of Vienna and the Swiss lowlands. Local Environment , 2000, 5(3): 311-328
doi: 10.1080/13549830050134257
10 Singh S J, Grünbühel C M, Schandl H, Schulz N. Social metabolism and labour in a local context: changing environmental relations on Trinket Island. Population and Environment , 2001, 23(1): 71-104
doi: 10.1023/A:1017564309651
11 Yoshida N, Sasaki T, Nakamura N, Kaneko H. Inter-regional material flow accounting for evaluation of local collaboration towards sound metabolism. In: Proceedings of Annual Meeting of Environmental Systems Research 2001, Tokyo . Tokyo: Japan Society of Civil Engineers, 2001, 191-196
12 Tachibana J, Hirota K, Goto N, Fujie K. A method for regional-scale material flow and decoupling analysis: a demonstration case study of Aichi prefecture, Japan. Resources, Conservation and Recycling , 2008, 52(12): 1382-1390
doi: 10.1016/j.resconrec.2008.08.003
13 M?enp?? I, M?nty E.Economic and Material Flow Indicators for the Kymenlaakso Region. Oulu: Finnish Environment Institute, 2004
14 Sinclair P, Papathanasopoulou E, Mellor W, Jackson T. Towards an integrated regional materials flow accounting model. Journal of Industrial Ecology , 2005, 9(1-2): 69-84
15 Kovanda J, Weinzettel J, Hak T. Analysis of regional material flows: the case of the Czech Republic. Resources, Conservation and Recycling , 2009, 53(5): 243-254
doi: 10.1016/j.resconrec.2008.12.004
16 Xu M, Jia X, Shi L, Zhang T. Accounting and analyzing material metabolism in the economic system of Liaoning Province. Resources Science , 2006, 28(5): 127-133 (in Chinese)
17 Zhang Y, Xia Z, Chen X, Peng X. Dynamics of regional sustainable development based on material flow analysis: a case study in Guangdong Province. Resources Science , 2007, 29(6): 212-218 (in Chinese)
18 Zhang Y, Chen X, Peng X, Sang Y. Material flow analysis (MFA) of the environment and the economy in Guangdong Province. Acta Scientiae Circumstantiae , 2008, 28(5): 1021-1031 (in Chinese)
19 Shen H. The material flow analysis of environment economic system in Anhui Province. Dissertation for the Doctoral Degree . HeFei: HeFei University of Technology, 2007 (in Chinese)
20 Zhang S, Lei J. Analyzing dematerialization of Shaanxi Province based on MFA. Resources Science , 2006, 28(4): 145-150 (in Chinese)
21 Li X. Circular economy development research of Shandong Province based on material flow analysis. Dissertation for the Doctoral Degree . Qingdao: Qingdao University, 2008 (in Chinese)
22 Yao X. Study on cyclic economy of Zhejiang Province based on the material flow accounting. Dissertation for the Doctoral Degree . Beijing: Beijing Forestry University, 2009 (in Chinese)
23 Li M, Tong L. Eco-efficiency of Jilin Province based on emergy and material flow. Acta Ecologica Sinica , 2009, 29(11): 6239-6247 (in Chinese)
24 Zhang B, Huang H, Bi J. Material flow analysis and data envelopment analysis based regional eco-efficiency analysis:case study of Jiangsu Province. Acta Ecologica Sinica , 2009, 29(5): 2473-2480 (in Chinese)
25 Wu X, Wang Y, Liu N. Regional eco-efficiency evaluation of Jiangsu Province based on MFA. Resources and Environment in the Yangtze Basin , 2009, 18(10): 890-895 (in Chinese)
26 Liu W, Ju M, Yu J, Li Z. Analysis on material flow of economic and environmental system in Tianjin. Urban Environment & Urban Ecology , 2006, 19(6): 8-11 (in Chinese)
27 Wang L. Basic indicators calculation method of regional material flow analysis: the utilization of input-output table and input-output analysis (in Shanghai). In: Proceedings of China's sustainable development 2005, Shanghai . Shanghai: Tongji University Press, 2005, 449-454 (in Chinese)
28 Zhang Z, Wu F, Deng N. Material flow analysis of fossil fuels usage in the Hubei Province and international comparability. In: Proceedings of the circular economy and eco-industry 2007, Nanjing . Nanjing: School of Environment, Nanjing University, 2007, 25-33 (in Chinese)
29 Yu B.The analysis and forecast of the intensity of resources consuming for the recycling economy in Heilongjiang Province. Commercial Research , 2008, (2): 29-33 (in Chinese)
30 Hammer M, Giljum S, Bargigli S, Hinterberger F. Material Flow Analysis on the Regional Level: Questions, Problems, Solutions. Hamburg: Sustainable Europe Research Institute, 2003
31 NBSC. 2007 Input-Output Tables of China . Beijing: China Statistics Press, 2007(in Chinese)
32 Miller R E, Blair P D. Input-Output Analysis: Foundations and Extensions . Cambridge: Cambridge University Press, 2009
33 NBSC. China Statistical Yearbook 2010 . Beijing: China Statistics Press, 2010(in Chinese)
34 NBSC. China Mining Yearbook . Beijing: China Earthquake Press, 2009(in Chinese)
35 NBSC. 2002 Regional Input-Output Tables of China . Beijing: China Statistics Press, 2008(in Chinese)
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