Demand-driven water withdrawals by Chinese industry: a multi-regional input-output analysis
Bo ZHANG1,2(), Z. M. CHEN3, L. ZENG4, H. QIAO5, B. CHEN6()
1. School of Management, China University of Mining & Technology (Beijing), Beijing 100083, China 2. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology (Beijing), Beijing 100083, China 3. School of Economics, Renmin University of China, Beijing 100872, China 4. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China 5. School of Management, University of Chinese Academy of Sciences, Beijing 100190, China 6. State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
With ever increasing water demands and the continuous intensification of water scarcity arising from China’s industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water withdrawals by Chinese industry and investigates demand-driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal (DWW), and Construction has the largest embodied industrial water use (EWU). Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water-saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China’s water policies.
. [J]. Frontiers of Earth Science, 2016, 10(1): 13-28.
Bo ZHANG, Z. M. CHEN, L. ZENG, H. QIAO, B. CHEN. Demand-driven water withdrawals by Chinese industry: a multi-regional input-output analysis. Front. Earth Sci., 2016, 10(1): 13-28.
Papermaking and Paper Products, Printing and Record Medium Reproduction, Cultural, Educational and Sports Articles
S11
Petroleum Processing, Coking, and Nuclear Fuel Processing
S12
Chemical Industry
S13
Nonmetal Mineral Products
S14
Smelting and Pressing of Ferrous and Nonferrous Metals
S15
Metal Products
S16
Ordinary Machinery and Equipment for Special Purposes
S17
Transportation Equipment
S18
Electric Equipment and Machinery
S19
Electronic and Telecommunications Equipment
S20
Instruments, Meters Cultural and Office Machinery
S21
Other Industrial Activities
S22
Electric Power, Steam and Hot Water Production and Supply
S23
Water and Gas Production and Supply
S24
Construction
S25
Transport and Storage Services
S26
Wholesale and Retail Trade
S27
Hotels and Catering Service
S28
Leasing and Business Services
S29
Research and Experimental Development
S30
Other Service Activities
Regional information
Surface water
Ground water
Tap water
Others
Total
Fraction/%
1. Northeast
1,771
917
604
135
3,427
5.7
Heilongjiang (R1)
844
254
206
31
1,335
2.2
Jilin (R2)
586
137
58
7
788
1.3
Liaoning (R3)
340
526
341
98
1,304
2.2
2. Beijing-Tianjin
121
226
204
59
610
1.0
Beijing (R4)
53
134
74
49
310
0.5
Tianjin (R5)
69
92
130
10
300
0.5
3. North
1,748
2,442
828
178
5,196
8.8
Hebei (R6)
1,132
971
168
85
2,355
4.0
Shandong (R7)
616
1,471
660
93
2,840
4.8
4. Central
9,205
1,632
1,337
121
12,296
20.8
Shanxi (R8)
192
478
176
21
868
1.5
Henan (R9)
517
714
177
63
1471
2.5
Hubei (R10)
2,390
60
367
11
2,828
4.8
Hunan (R11)
2,944
139
242
4
3,329
5.6
Jiangxi (R12)
1,941
82
162
6
2,191
3.7
Anhui (R13)
1,221
158
213
17
1,609
2.7
5. Central Coast
18,251
317
2,811
186
21,565
36.4
Shanghai (R14)
5,488
5
474
132
6,100
10.3
Jiangsu (R15)
11,111
227
1,278
27
12,644
21.3
Zhejiang (R16)
1,652
85
1,059
26
2,822
4.8
6. South Coast
3,048
249
2,488
153
5,938
10.0
Fujian (R17)
1,498
115
397
73
2,082
3.5
Guangdong (R18)
1,487
122
2,071
40
3,719
6.3
Hainan (R19)
64
12
21
41
137
0.2
7. Northwest
1,384
1,201
496
99
3,179
5.3
Inner Mongolia (R20)
171
317
129
23
639
1.1
Shaanxi (R21)
156
246
83
15
500
0.8
Ningxia (R22)
82
118
22
14
235
0.4
Gansu (R23)
344
104
125
46
619
1.0
Qinghai (R24)
25
68
11
0
104
0.2
Xinjiang (R25)
606
349
127
0
1,082
1.8
8. Southwest
6,090
385
545
118
7,139
11.9
Sichuan (R26)
1,058
175
178
15
1,426
2.4
Chongqing (R27)
1,305
12
126
61
1,503
2.5
Guizhou (R28)
700
28
51
11
789
1.3
Yunnan (R29)
1,744
96
55
26
1,920
3.2
Guangxi (R30)
1,283
75
136
6
1,501
2.5
Total
41,618
7,369
9,312
1,050
59,349
100.0
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