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Dynamic energy performance evaluation of Chinese textile industry

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  • Lin, Boqiang
  • Bai, Rui

Abstract

The rapid growth of population and economy will result in a substantial increase in textile production and consumption. Due to the uneven management level and especially the major fossil fuel production process, the Chinese textile industry needs to be transformed and upgraded for emission-reduction as a national backbone industry. Using a global meta-frontier approach founded on a non-radial distance function, energy performance is measured at the provincial level from 1985 to 2016. Given the study’s long interval, all data samples in different statistical calibers are successively adjusted and standardized. From different spatial and time scales, the dynamic energy efficiency goes up and becomes more balanced over time in three geographical regions of China. Examined by statistics, the study also reveals that during the implementation of low-carbon textile policies, the energy performance improved significantly, which mainly benefits from speeding up of technological innovation. Besides, the dynamic performance of the eastern region rises by 11.347%, while the central and western regions obtain a higher growth rate of 27.295% and 32.980% respectively. With the decomposition of the dynamic performance index into three separate components, policy-makers should prioritize the appropriate policies to attain environmental management goals considering provincial heterogeneity.

Suggested Citation

  • Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:energy:v:199:y:2020:i:c:s0360544220304953
    DOI: 10.1016/j.energy.2020.117388
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    as
    1. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    2. Jianglong Li & Zhi Li, 2018. "Understanding the role of economic transition in enlarging energy price elasticity," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 253-281, April.
    3. Li, Aijun & Zhang, Aizhen & Huang, Huijie & Yao, Xin, 2018. "Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions," Energy, Elsevier, vol. 152(C), pages 549-561.
    4. Laili Wang & Yi Li & Wanwen He, 2017. "The Energy Footprint of China’s Textile Industry: Perspectives from Decoupling and Decomposition Analysis," Energies, MDPI, vol. 10(10), pages 1-11, September.
    5. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    6. Wu, Rui & Geng, Yong & Cui, Xiaowei & Gao, Ziyan & Liu, Zhiqing, 2019. "Reasons for recent stagnancy of carbon emissions in China's industrial sectors," Energy, Elsevier, vol. 172(C), pages 457-466.
    7. Chandra, Pankaj & Cooper, William W. & Li, Shanling & Rahman, Atiqur, 1998. "Using DEA To evaluate 29 Canadian textile companies -- Considering returns to scale," International Journal of Production Economics, Elsevier, vol. 54(2), pages 129-141, January.
    8. Hasanbeigi, Ali & Price, Lynn, 2012. "A review of energy use and energy efficiency technologies for the textile industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3648-3665.
    9. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    10. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    11. Lin, Boqiang & Moubarak, Mohamed, 2014. "Mitigation potential of carbon dioxide emissions in the Chinese textile industry," Applied Energy, Elsevier, vol. 113(C), pages 781-787.
    12. Baskaran, Venkatesan & Nachiappan, Subramanian & Rahman, Shams, 2012. "Indian textile suppliers' sustainability evaluation using the grey approach," International Journal of Production Economics, Elsevier, vol. 135(2), pages 647-658.
    13. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    14. Dong-hyun Oh & Jeong-dong Lee, 2010. "A metafrontier approach for measuring Malmquist productivity index," Empirical Economics, Springer, vol. 38(1), pages 47-64, February.
    15. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    16. Palanichamy, C. & Sundar Babu, N., 2005. "Second stage energy conservation experience with a textile industry," Energy Policy, Elsevier, vol. 33(5), pages 603-609, March.
    17. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    18. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    19. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    20. Lin, Boqiang & Zhao, Hongli, 2016. "Technological progress and energy rebound effect in China׳s textile industry: Evidence and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 173-181.
    21. Aranda-Usón, Alfonso & Ferreira, Germán & Mainar-Toledo, M.D. & Scarpellini, Sabina & Llera Sastresa, Eva, 2012. "Energy consumption analysis of Spanish food and drink, textile, chemical and non-metallic mineral products sectors," Energy, Elsevier, vol. 42(1), pages 477-485.
    22. Azadeh, A. & Amalnick, M.S. & Ghaderi, S.F. & Asadzadeh, S.M., 2007. "An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors," Energy Policy, Elsevier, vol. 35(7), pages 3792-3806, July.
    23. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    24. Riccardi, R. & Oggioni, G. & Toninelli, R., 2012. "Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function," Energy Policy, Elsevier, vol. 44(C), pages 140-152.
    25. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    26. Lin, Boqiang & Chen, Yu & Zhang, Guoliang, 2018. "Impact of technological progress on China's textile industry and future energy saving potential forecast," Energy, Elsevier, vol. 161(C), pages 859-869.
    27. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    28. Ozturk, Harun Kemal, 2005. "Energy usage and cost in textile industry: A case study for Turkey," Energy, Elsevier, vol. 30(13), pages 2424-2446.
    29. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    30. Karali, Nihan & Xu, Tengfang & Sathaye, Jayant, 2014. "Reducing energy consumption and CO2 emissions by energy efficiency measures and international trading: A bottom-up modeling for the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 120(C), pages 133-146.
    31. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    32. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    33. Jefferson, Gary H. & Rawski, Thomas G. & Zheng, Yuxin, 1996. "Chinese Industrial Productivity: Trends, Measurement Issues, and Recent Developments," Journal of Comparative Economics, Elsevier, vol. 23(2), pages 146-180, October.
    34. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    35. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    36. Peng, Lihong & Zhang, Yiting & Wang, Yejun & Zeng, Xiaoling & Peng, Najun & Yu, Ang, 2015. "Energy efficiency and influencing factor analysis in the overall Chinese textile industry," Energy, Elsevier, vol. 93(P1), pages 1222-1229.
    37. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    38. Wang, Mingzheng & Liu, Junling & Chan, Hau-Ling & Choi, Tsan-Ming & Yue, Xiaohang, 2016. "Effects of carbon tariffs trading policy on duopoly market entry decisions and price competition: Insights from textile firms of developing countries," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 470-484.
    39. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    40. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    41. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    42. Fare, Rolf & Grosskopf, Shawna & Logan, James, 1983. "The relative efficiency of Illinois electric utilities," Resources and Energy, Elsevier, vol. 5(4), pages 349-367, December.
    43. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation," Energy Economics, Elsevier, vol. 33(2), pages 292-303, March.
    44. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    45. Wang, Ailun & Lin, Boqiang, 2018. "Dynamic change in energy and CO2 performance of China's commercial sector: A regional comparative study," Energy Policy, Elsevier, vol. 119(C), pages 113-122.
    46. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    47. Fang, Debin & Hao, Peng & Hao, Jian, 2019. "Study of the influence mechanism of China's electricity consumption based on multi-period ST-LMDI model," Energy, Elsevier, vol. 170(C), pages 730-743.
    48. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    49. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
    50. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    51. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    52. Fais, Birgit & Sabio, Nagore & Strachan, Neil, 2016. "The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets," Applied Energy, Elsevier, vol. 162(C), pages 699-712.
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