Impact of technological progress on China's textile industry and future energy saving potential forecast

被引:31
作者
Lin, Boqiang [1 ]
Chen, Yu [1 ]
Zhang, Guoliang [2 ]
机构
[1] Xiamen Univ, China Inst Studies Energy Policy, Sch Management, Collaborat Innovat Ctr Energy Econ & Energy Polic, Xiamen 361005, Fujian, Peoples R China
[2] Ind Bank Co Ltd, Risk Management Dept, Fuzhou 350000, Fujian, Peoples R China
关键词
China's textile industry; Technological progress; Energy intensity; Co-integration analysis; Scenarios analysis; CARBON-DIOXIDE EMISSIONS; ELECTRICITY CONSUMPTION; CO2; EMISSIONS; UNIT-ROOT; MANUFACTURING SECTOR; INTENSIVE INDUSTRIES; FRONTIER APPROACH; CEMENT INDUSTRY; TIME-SERIES; EFFICIENCY;
D O I
10.1016/j.energy.2018.07.178
中图分类号
O414.1 [热力学];
学科分类号
摘要
China has the largest textile industry with the complete industrial chain and also the largest textile exporter in the world. The study analyses the energy substitution effect of technological progress of China's textile industry using a macroeconomics approach. In order to predict future energy saving potential, we examine the relationship between energy intensity and its five main factors (technological progress, enterprise scale, labor productivity, dependence on foreign trade and industrial electricity price) by co-integration technique. Empirical results indict that electricity shows alternative features to other energy sources in the context of technological progress in China's textile industry. Besides, there exists a long-run equilibrium among energy intensity and the five main factors. Monte Carlo method was applied for risk analysis to ensure the reliability of forecast. Further, future energy saving potential and CO2 emission reduction of China's textile industry was predicted using scenario analysis. The result shows that energy conservation potential of China's textile industry is 16.16-27.53 million tons of standard coal equivalent in 2025. Additionally, it was revealed that the CO2 emission reduction caused by the energy conservation will be 32.63-55.60 million tons in 2025. Finally, future policy priorities for energy conservation of Chinese textile industry are suggested. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:859 / 869
页数:11
相关论文
共 70 条
[1]   Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting [J].
An, Ning ;
Zhao, Weigang ;
Wang, Jianzhou ;
Shang, Duo ;
Zhao, Erdong .
ENERGY, 2013, 49 :279-288
[2]  
[Anonymous], 1991, CHINA IND STAT YB NB
[3]  
[Anonymous], 1991, CHINA STAT YB NBOS
[4]  
[Anonymous], 2005, EC RES J
[5]  
[Anonymous], 1991, CHIN EN STAT YB NBOS
[6]   Energy consumption and GDP in Tunisia: Cointegration and causality analysis [J].
Belloumi, Mounir .
ENERGY POLICY, 2009, 37 (07) :2745-2753
[7]   Energy's Thirst for Water in China [J].
Cai, Beiming ;
Zhang, Bing ;
Bi, Jun ;
Zhang, Wenjing .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (20) :11760-11768
[8]   Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots [J].
Chang, Kai ;
Pei, Ping ;
Zhang, Chao ;
Wu, Xin .
ENERGY ECONOMICS, 2017, 67 :213-223
[9]  
Chen S., 2011, China Economic Quarterly, V10, P735, DOI [DOI 10.13821/J.CNKI.CEQ.2011.03.012, 10.13821/j.cnki.ceq.2011.03.012]
[10]   DISTRIBUTION OF THE ESTIMATORS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT ROOT [J].
DICKEY, DA ;
FULLER, WA .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (366) :427-431