TY - JOUR
T1 - Spatial-temporal patterns and driving factors for industrial wastewater emission in China
AU - Geng, Yong
AU - Wang, Meiling
AU - Sarkis, Joseph
AU - Xue, Bing
AU - Zhang, Lin
AU - Fujita, Tsuyoshi
AU - Yu, Xiaoman
AU - Ren, Wanxia
AU - Zhang, Liming
AU - Dong, Huijuan
PY - 2014/8/1
Y1 - 2014/8/1
N2 - China's extraordinary economic growth, industrialization and urbanization coupled with inadequate investment in basic water supply and treatment infrastructures, have resulted in increasing industrial water pollution. However, due to imbalanced development, industrial wastewater emissions present significant regional disparity. Industrial wastewater management disparity requires more in-depth study on both spatial and temporal patterns across different regions for identification of appropriate and effective mitigation policies while considering practical and localized realities. This paper addresses this issue and contributes to new knowledge by analyzing the spatial-temporal characteristics and driving forces of industrial wastewater emission variations in China's 31 provinces during the years 1995-2010. Using the Logarithmic Mean Divisia Index (LMDI) method, the results show that economic factors are the main driving factors of industrial wastewater emission changes in all provinces during the study period. It is also found that technology improvement considerably offsets emission increases. Using these research findings, both general and specific measures for controlling industrial wastewater emissions are offered so that the overall industrial water efficiency can be improved, in China and potentially elsewhere.
AB - China's extraordinary economic growth, industrialization and urbanization coupled with inadequate investment in basic water supply and treatment infrastructures, have resulted in increasing industrial water pollution. However, due to imbalanced development, industrial wastewater emissions present significant regional disparity. Industrial wastewater management disparity requires more in-depth study on both spatial and temporal patterns across different regions for identification of appropriate and effective mitigation policies while considering practical and localized realities. This paper addresses this issue and contributes to new knowledge by analyzing the spatial-temporal characteristics and driving forces of industrial wastewater emission variations in China's 31 provinces during the years 1995-2010. Using the Logarithmic Mean Divisia Index (LMDI) method, the results show that economic factors are the main driving factors of industrial wastewater emission changes in all provinces during the study period. It is also found that technology improvement considerably offsets emission increases. Using these research findings, both general and specific measures for controlling industrial wastewater emissions are offered so that the overall industrial water efficiency can be improved, in China and potentially elsewhere.
KW - 512 Business and Management
KW - China
KW - Industrial wastewater emission
KW - Spatial-temporal characteristics
KW - LMDI
UR - http://www.scopus.com/inward/record.url?scp=84901831683&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2014.04.047
DO - 10.1016/j.jclepro.2014.04.047
M3 - Article
AN - SCOPUS:84901831683
SN - 0959-6526
VL - 76
SP - 116
EP - 124
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
IS - August
ER -