Energy efficiency and conservation in China's chemical fiber industry

Journal of Cleaner Production

Volumn 103, Issue , 2015, Pages 345-352

  Lin, Boqiang ^a,b   Zhao, Hongli ^b  

^a MINJIANG UNIVERSITY   (China)

^b XIAMEN UNIVERSITY   (China)

Author keywords

Chemical fiber industry; Energy saving potential; Monte Carlo simulation; Scenario analysis approach

Indexed keywords

CARBON; CHEMICAL ANALYSIS; ECONOMICS; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY MANAGEMENT; ENERGY UTILIZATION; FIBERS; FORECASTING; INTELLIGENT SYSTEMS; MONTE CARLO METHODS;

CHEMICAL FIBER INDUSTRY; ENERGY EFFICIENCY AND CONSERVATIONS; ENERGY SAVING POTENTIAL; LONG-TERM RELATIONSHIPS; LOW-CARBON ECONOMIC; MONTE CARLO SIMULATION METHODS; POLICY SUGGESTIONS; SCENARIO ANALYSIS APPROACH;

INDUSTRIAL ECONOMICS;

EID: 84944073558     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2014.06.070     Document Type: Article

References (31)

1. N. Apergis, and J.E. Payne Energy consumption and economic growth in Central America: evidence from a panel co-integration and error correction model Energy Econ. 31 2009 211 216
2. D.L. Cha Study on the rebound effect of energy efficiency in China based on CGE model J. Quant. Tech. Econ. 12 2010
3. CEIC China Database 2013 Available at: http://ceicdata.securities.com/cdmWeb/
4. China Energy Statistical Yearbook, 1990-2011. China Statistics Press, Beijing.
5. China Statistical Yearbook, 1990-2011. China Statistics Press, Beijing.
6. China's Textile Industry Report The Statistic Bureau of China 2010
7. China's Textile Industry Report The Statistic Bureau of China 2010
8. D.A. Dickey, and Fuller A. W. Distribution of the estimators for autoregressive time series with a unit root J. Am. Stat. Assoc. 74 366 1979 427 431
9. R.F. Engle, and C.W.J. Granger Co-integrationanderrorcorrection:representation, estimationandtesting Econometrica 55 1987 251 276
10. Richard Silberglitt, Anders Hove, and Peter Shulman Analysis of US energy scenarios: meta-scenarios, pathways, and policy implications Technol. Forecast. Soc. Change 70 4 2003 297 315
11. V. Grover, and et al. The influence of information technology diffusion and business process change on perceived productivity: the IS executive's perspective Inf. Manag. 34 3 1998 141 159
12. A.L. Gu The Energy conservation and emissions reduction potential and cost analysis of China's cement industry China Popul. Resour. Environ. 8 2012
13. X.P. He Energy saving potential and influence factors of China's industry J. Financ. Res. 10 2011
14. J.Y. Hu Shanghai's Total Energy Demand and Long-term Forecasting 2005 Shang Hai Electric Power 6
15. Y. Huang Guangdong transportation's energy saving potential research based on scenario analysis China Open. Her. 4 2011
16. J. Kraft, and A. Kraft On the relationship between Energy and GNP J. Energy Dev. 3 1978 401 403
17. Q.M. Liang A model for scenario analysis of energy demand and energy intensity in China and its application China's J. Manag. 1 2004
18. H. Liao, and Y.M. Wei China's energy consumption: a perspective from Divisia aggregation approach Energy 35 1 2010 28 34
19. B.Q. Lin Structure change, efficiency improvement and energy demand forecasting Econ. Res. 5 2003
20. D.R. Lin The coordinated development of economy and energy of the Yangtze river delta region J. Nant. Univ. 2 2005
21. B.Q. Lin, and M. Moubarak Estimation of energy saving potential in China's paper industry Energy 65 2014 182 189
22. B.Q. Lin, and C.P. Xie Estimation on oil demand and oil saving potential of China's road transport sector Energy Policy 61 2013 472 482
23. B.Q. Lin, and G.L. Zhang Estimates of electricity saving potential in Chinese nonferrous metals industry Energy Policy 60 2013 558 568
24. B. Lin, L. Zhang, and Y. Wu Evaluation of electricity saving potential in China's chemical industry based on cointegration Energy Policy 44 0 2012 320 330
25. B. Lin, Y. Wu, and L. Zhang Electricity saving potential of the power generation industry in China Energy 40 1 2012 307 316
26. J.J. Liu, S.L. Li, H.J. Fan, and Q. Lin Scenario analysis method is applied to forecast energy demand and carbon emissions Energy Conserv. Technol. 30 1 2012 70 75
27. E.P. Lu Combined model in China's energy demand forecasting Math. Stat. Manag. 9 2006
28. P.C.B. Phillips, and P. Perron Testing for a unit root in time series regression Biometrica 75 2 1988 335 346
29. D. Shi Analysis of regional difference of China's Energy efficiency and the energy saving potential China Ind. Econ. 2 2006
30. Y.M. Ye Energy saving and emission reduction is the most urgent task in chemical fiber industry Hi-Tech Fiber Appl. 6 2010
31. M.H. Zheng Energy consumption demand forecasting of Hebei province based on grey system theory China Econ. Trade Her. 19 2011