Estimating energy conservation potential in China's energy intensive industries with rebound effect
被引:65
作者:
Lin, Boqiang
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Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R China
Lin, Boqiang
[1
]
Tan, Ruipeng
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Xiamen Univ, Sch Econ, China Ctr Energy Econ Res, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R China
Tan, Ruipeng
[2
]
机构:
[1] Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R China
[2] Xiamen Univ, Sch Econ, China Ctr Energy Econ Res, Xiamen 361005, Fujian, Peoples R China
The energy consumption of China's six most energy-intensive sub-industries is about half of the total national energy consumption, and accounts for more than 70% of industrial energy consumption in recent years. These six industries are capital and energy intensive and have a great impact on the energy consumption of China, so they are directly related to the achievement of the energy conservation goal in the 13th Five Year Plan. This paper investigates the influential factors of energy consumption in the industries by employing the cointegration method, and estimates the possible energy conservation potential considering energy rebound effect. The results show that GDP and the scale of industries are the deterministic factors increasing energy consumption, while R&D intensity decreases it. Energy price has little impact on energy consumption. The average energy rebound effect is calculated using the latent variable approach and the result is 90.75%. Considering energy rebound effect, the energy conservation potential of China's energy intensive industries is 14.18-26.54 million tons of standard coal equivalent in 2020 and 44.64-80.72 million tons of standard coal equivalent in 2030. (C) 2017 Elsevier Ltd. All rights reserved.
机构:
United Arab Emirates Univ, Coll Business & Econ, Dept Econ, Al Ain, U Arab EmiratesUnited Arab Emirates Univ, Coll Business & Econ, Dept Econ, Al Ain, U Arab Emirates
机构:
Univ Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, Brazil
Almeida, MA
Schaeffer, R
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Univ Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, Brazil
Schaeffer, R
La Rovere, EL
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Univ Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, Brazil
机构:
N China Elect Power Univ, Sch Business Management, Beijing 102206, Peoples R ChinaHefei Univ Technol, Sch Comp & Informat, Anhui Prov Key Lab Affect Comp & Adv Intelligent, Hefei 230009, Peoples R China
机构:
United Arab Emirates Univ, Coll Business & Econ, Dept Econ, Al Ain, U Arab EmiratesUnited Arab Emirates Univ, Coll Business & Econ, Dept Econ, Al Ain, U Arab Emirates
机构:
Univ Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, Brazil
Almeida, MA
Schaeffer, R
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, Brazil
Schaeffer, R
La Rovere, EL
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio de Janeiro, Energy Planning Program, Ctr Technol, BR-21945970 Rio De Janeiro, Brazil
机构:
N China Elect Power Univ, Sch Business Management, Beijing 102206, Peoples R ChinaHefei Univ Technol, Sch Comp & Informat, Anhui Prov Key Lab Affect Comp & Adv Intelligent, Hefei 230009, Peoples R China