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2018 | OriginalPaper | Buchkapitel

25. Analysis on the Influencing Factors of Multidimensional LMDI Energy Consumption—A Case Study of Chongqing

verfasst von : H. M. Zhang, Z. N. Zhao, L. Y. Shen, W. W. Wen, M. Chen

Erschienen in: Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate

Verlag: Springer Singapore

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Abstract

In 2016, Chongqing formulates and announces the outline of its 13th Five-Year Plan for economic and social development, which emphasizes the effective control of the total energy consumption. This is of great strategic significance to the mission of achieving sustainable energy supply, and the coordinated development between economic, social and ecological environment for Chongqing. This paper introduces a multidimensional LMDI (Logarithmic Mean Divisia Index) model for analyzing the energy consumption, by considering five factors: urbanization rate, industrial structure, economic growth, technical progress and scale of the population. The factors urbanization rate and industrial structure are newly introduced in this study. The data used are collected from Chongqing Statistics Yearbook for the period of 1997–2013. The results show that economic growth is the main factor for the growth of energy consumption in Chongqing; technical progress plays a significant role in energy saving; urbanization contributes the increase of energy consumption; industrial structure is also a major factor affecting energy consumption, and the energy saving effect from industrial restructuring has not been materialized. This paper reveals the relationship between energy consumption and economic growth, technical progress, urbanization, industrial structure, and the scale of the population. It can provide references for studying measures controlling energy consumption.

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Literatur
Zurück zum Zitat Ang BW, Liu FL, Chen EP (2003) Perfect decomposition techniques in energy and environmental ANG analysis. Energy Policy 31:1561–1566 Ang BW, Liu FL, Chen EP (2003) Perfect decomposition techniques in energy and environmental ANG analysis. Energy Policy 31:1561–1566
Zurück zum Zitat BP (2015) World energy statistics yearbook BP (2015) World energy statistics yearbook
Zurück zum Zitat Choi BW, Ang KH (1997) Decomposition of aggregate energy and gas intensities emission for industry: a refined Divisia index method. Energy J 18:59–73 Choi BW, Ang KH (1997) Decomposition of aggregate energy and gas intensities emission for industry: a refined Divisia index method. Energy J 18:59–73
Zurück zum Zitat Dong M, Xu D (2015) Research on the rebound effect of energy consumption in the west of China based on the decomposition of technological progress. China Sci Technol Forum 10:115–119 Dong M, Xu D (2015) Research on the rebound effect of energy consumption in the west of China based on the decomposition of technological progress. China Sci Technol Forum 10:115–119
Zurück zum Zitat Fang WS, Miller SM, Yeh CC (2012) The effect of ESCOs on energy Fang use. Energy Policy 51:558–568 Fang WS, Miller SM, Yeh CC (2012) The effect of ESCOs on energy Fang use. Energy Policy 51:558–568
Zurück zum Zitat Fu F, Ma L, Li L, Ni W (2012) China energy dynamic growth mechanism and energy-saving connotation. China Popul Resour Environ 08:96–101 Fu F, Ma L, Li L, Ni W (2012) China energy dynamic growth mechanism and energy-saving connotation. China Popul Resour Environ 08:96–101
Zurück zum Zitat Huang R, Wang L (2013) Model based on the STIRPAT model of the energy consumption of carbon emission factors in Chongqing. J Environ Sci 33(2):602–608 Huang R, Wang L (2013) Model based on the STIRPAT model of the energy consumption of carbon emission factors in Chongqing. J Environ Sci 33(2):602–608
Zurück zum Zitat Jiao CX (2012) The environmental impact analysis of Gansu Province based on STIRPAT model: a case study of energy consumption in 1991-2009. Resour Environ Yangtze River Basin 21(1):105–110 Jiao CX (2012) The environmental impact analysis of Gansu Province based on STIRPAT model: a case study of energy consumption in 1991-2009. Resour Environ Yangtze River Basin 21(1):105–110
Zurück zum Zitat Li Z, Wang S, Yao Y (2012) Analysis of the three factors of energy consumption effect—a case study of Shanxi province. Econ Transit 01:47–51 Li Z, Wang S, Yao Y (2012) Analysis of the three factors of energy consumption effect—a case study of Shanxi province. Econ Transit 01:47–51
Zurück zum Zitat Li S, Cao W, Lu B (2015) Study on the optimization of China’s energy consumption structure under the constraint of low carbon target. J Shanxi Univ (Philosophy and Social Sciences) 04:108–115 Li S, Cao W, Lu B (2015) Study on the optimization of China’s energy consumption structure under the constraint of low carbon target. J Shanxi Univ (Philosophy and Social Sciences) 04:108–115
Zurück zum Zitat Liang L (2010) Study on the influence factors of energy consumption at different stages of urbanization. J Shanghai Univ Finan Econ 05:89–96 Liang L (2010) Study on the influence factors of energy consumption at different stages of urbanization. J Shanghai Univ Finan Econ 05:89–96
Zurück zum Zitat Liu J, Shao S, Jiang X (2015) The impact of urbanization on energy consumption: how far is it from the world level? Based on the comparative study of domestic and international data. Finan Res 02:111–122 Liu J, Shao S, Jiang X (2015) The impact of urbanization on energy consumption: how far is it from the world level? Based on the comparative study of domestic and international data. Finan Res 02:111–122
Zurück zum Zitat Ma X, Li Q (2014) The analysis of the regional difference of energy consumption in China and its influencing factors. Ind Technol Econ 10:114–124 Ma X, Li Q (2014) The analysis of the regional difference of energy consumption in China and its influencing factors. Ind Technol Econ 10:114–124
Zurück zum Zitat Shen L, Shuai C, Jiao L, Tan Y, Song X (2016) A global perspective on the sustainable performance of urbanization. Sustainability 8(8):783CrossRef Shen L, Shuai C, Jiao L, Tan Y, Song X (2016) A global perspective on the sustainable performance of urbanization. Sustainability 8(8):783CrossRef
Zurück zum Zitat Shen L, Shuai C, Jiao L, Tan Y, Song X (2017) Dynamic sustainability performance during urbanization process between BRICS countries. Habitat Int 60:19–33CrossRef Shen L, Shuai C, Jiao L, Tan Y, Song X (2017) Dynamic sustainability performance during urbanization process between BRICS countries. Habitat Int 60:19–33CrossRef
Zurück zum Zitat Shuai C, Shen L, Jiao L, Wu Y, Tan Y (2017) Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011. Appl Energy 187:310–325CrossRef Shuai C, Shen L, Jiao L, Wu Y, Tan Y (2017) Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011. Appl Energy 187:310–325CrossRef
Zurück zum Zitat Su XG (2016) The decomposition analysis of China’s industrial energy consumption. Mod Manage Sci 06:48–50 Su XG (2016) The decomposition analysis of China’s industrial energy consumption. Mod Manage Sci 06:48–50
Zurück zum Zitat Su Y, Hair Y, Jing De Z et al (2006) The new energy and renewable energy Conspectus. Chemical Industry Press, Beijing, pp 1–25 Su Y, Hair Y, Jing De Z et al (2006) The new energy and renewable energy Conspectus. Chemical Industry Press, Beijing, pp 1–25
Zurück zum Zitat Tengfei Z, Yi L, Liang JF (2013) Influence factors of large cities in China the change of energy consumption decomposition and its regional differences. Resour Sci 02:240–249 Tengfei Z, Yi L, Liang JF (2013) Influence factors of large cities in China the change of energy consumption decomposition and its regional differences. Resour Sci 02:240–249
Zurück zum Zitat Wang L, Li J (2012) Study on the decomposition of China’s energy consumption factor based on LMDI resource development and market 07:604–607 Wang L, Li J (2012) Study on the decomposition of China’s energy consumption factor based on LMDI resource development and market 07:604–607
Zurück zum Zitat Wang Y, Yang X, Zhu Z (2014) MRCI and LMD I and II of China’s energy consumption based on change analysis. Ecol Econ 05:22–25 Wang Y, Yang X, Zhu Z (2014) MRCI and LMD I and II of China’s energy consumption based on change analysis. Ecol Econ 05:22–25
Zurück zum Zitat Wang X, Jiao literature, Chen X, Zhang Z (2016) The characteristics of energy consumption and its influencing factors in Henan province. Reg Res Dev 01:144–149 Wang X, Jiao literature, Chen X, Zhang Z (2016) The characteristics of energy consumption and its influencing factors in Henan province. Reg Res Dev 01:144–149
Zurück zum Zitat Wen Guo, Tao Sun (2015) The impact of urbanization on China’s regional energy consumption and residents’ living energy consumption. China Environ Sci 10:3166–3176 Wen Guo, Tao Sun (2015) The impact of urbanization on China’s regional energy consumption and residents’ living energy consumption. China Environ Sci 10:3166–3176
Zurück zum Zitat Xiaowei Ma, Xiaoling Cui (2012) The influence factors of terminal energy consumption and carbon emission change in Beijing city. J Beijing Inst Technol (SOCIAL SCIENCE EDITION) 05:1–5 Xiaowei Ma, Xiaoling Cui (2012) The influence factors of terminal energy consumption and carbon emission change in Beijing city. J Beijing Inst Technol (SOCIAL SCIENCE EDITION) 05:1–5
Zurück zum Zitat Yan F, Wu R (2011) Shanghai terminal energy consumption change pattern and driving factors research—based on LMDI decomposition of Shanghai city and the eastern, central and western area comparative analysis. World Econ Forum 02:52–68 Yan F, Wu R (2011) Shanghai terminal energy consumption change pattern and driving factors research—based on LMDI decomposition of Shanghai city and the eastern, central and western area comparative analysis. World Econ Forum 02:52–68
Zurück zum Zitat Yang H, Cheng Y (2016) Analysis of the factors affecting the energy consumption of Yunnan Province based on the STIRPAT model. Eco Econ 03:87–91 Yang H, Cheng Y (2016) Analysis of the factors affecting the energy consumption of Yunnan Province based on the STIRPAT model. Eco Econ 03:87–91
Zurück zum Zitat Yue T (2010) Long long hair. Based on LMDI Jiangsu Province’s total energy consumption growth effect analysis. Resour Sci 07:1266–1271 Yue T (2010) Long long hair. Based on LMDI Jiangsu Province’s total energy consumption growth effect analysis. Resour Sci 07:1266–1271
Zurück zum Zitat Zhang H, Ke Y, Wang B (2013) City of differences on the effects on CO2 emission. China Population Resour Environ 23(3):152–157 Zhang H, Ke Y, Wang B (2013) City of differences on the effects on CO2 emission. China Population Resour Environ 23(3):152–157
Zurück zum Zitat Zhao T, Hong G, Zhang H (2013) The decoupling relationship between industrial development and energy consumption of the ring in Bohai province and the forecast of energy consumption level. Mod Finan Econ (Tianjin University of Finance Economics Journal) 06:79–89 Zhao T, Hong G, Zhang H (2013) The decoupling relationship between industrial development and energy consumption of the ring in Bohai province and the forecast of energy consumption level. Mod Finan Econ (Tianjin University of Finance Economics Journal) 06:79–89
Zurück zum Zitat Zhou G, Zhao H (2012) Analysis of the influence factors of energy consumption—based on the method of industry decomposition and region decomposition. Mod Finan Econ (Tianjin University of Finance Economics Journal) 10:87–94 Zhou G, Zhao H (2012) Analysis of the influence factors of energy consumption—based on the method of industry decomposition and region decomposition. Mod Finan Econ (Tianjin University of Finance Economics Journal) 10:87–94
Metadaten
Titel
Analysis on the Influencing Factors of Multidimensional LMDI Energy Consumption—A Case Study of Chongqing
verfasst von
H. M. Zhang
Z. N. Zhao
L. Y. Shen
W. W. Wen
M. Chen
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6190-5_25