Conjoint analysis of Japanese households' energy-saving behavior after the earthquake: The role of the preferences for renewable energy

被引:9
|
作者
Kinoshita, Shin [1 ]
机构
[1] Ryukoku Univ, Fac Econ, Kyoto, Japan
基金
日本学术振兴会;
关键词
Energy savings; conjoint analysis; renewable energy; WILLINGNESS-TO-PAY; ELECTRICITY;
D O I
10.1177/0958305X19882386
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy savings among households is an important energy challenge in Japan. After the Great East Japan Earthquake in March 2011, electricity shortages became a worry because nuclear power plants ceased operations. The conditions that households require to save electricity are analyzed in the paper by a conjoint analysis. An annual electricity bill, CO2 emissions, a stable electricity supply, and energy sources that generate electricity are considered. The role of energy sources, especially renewable energy, in energy savings is focused. When renewable energy such as solar and wind power is used, households who prefer it might use less electricity as well. A random parameter logit model is used for estimation. The promotion of renewable energy and energy savings should be encouraged in Japan's official energy policy. If electricity generated by renewable energy is provided, households that prefer renewable energy choose such an electricity and will reduce their electricity usage. As a result, the promotion of renewable energy and energy savings could be addressed simultaneously. The estimation results indicated that households would save more electricity if an annual electricity bill is reduced. In addition, they also would save more electricity if CO2 emissions are reduced and if a stable electricity supply is secured. If nuclear power is used for electricity generation, they do not use less electricity. If renewable energy is provided, they tend to use less electricity. Thus, renewable energy provides incentives for households to reduce electricity usage. It is possible to promote energy savings by utilizing consumers' interest in renewable energy.
引用
收藏
页码:676 / 691
页数:16
相关论文
共 50 条
  • [41] The Analysis of Energy-saving Mechanism of Hybrid Excavator
    Wang Pengyu
    Wang Qingnian
    Zhang Qiming
    Yang Shengqing
    APPLIED MECHANICS AND MECHANICAL ENGINEERING, PTS 1-3, 2010, 29-32 : 1657 - +
  • [42] The energy-saving simulation and analysis of building shapes
    Ma, MG
    Zhuang, Y
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INDOOR AIR QUALITY, VENTILATION AND ENERGY CONSERVATION IN BUILDINGS, VOLS I-III, 2001, : 469 - 477
  • [43] The analysis of energy-saving room heating systems
    Januszkiewicz, Krzysztof T.
    PRZEGLAD ELEKTROTECHNICZNY, 2008, 84 (07): : 67 - 68
  • [44] Energy-saving Analysis of Reversible Ventilation System
    Yong, Ren
    Zhen-ying, Mu
    Hong-tao, Zheng
    Shi, Chen
    Li-jun, Peng
    DEVELOPMENT OF INDUSTRIAL MANUFACTURING, 2014, 525 : 625 - +
  • [45] Analysis of the Energy-Saving Building Evaluation System
    Li, Xiao-Juan
    Journal of Taiwan Agricultural Engineering, 2022, 68 (02): : 74 - 80
  • [46] Analysis of the Status of the Energy-saving Management of the Wireless Communication Network and the Measures to Construct the Energy-saving Management Mechanism
    Zhu, Yang
    Liu, Hongcheng
    2014 2ND INTERNATIONAL CONFERENCE ON ECONOMIC, BUSINESS MANAGEMENT AND EDUCATION INNOVATION (EBMEI 2014), VOL 42, 2014, 42 : 154 - 158
  • [47] Study on energy-saving design of renewable energy applied to high-rise residential buildings
    Bao, Xiangzhong
    Lei, Shuyao
    Xu, Bo
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2024, 46 (01) : 10541 - 10556
  • [48] A Conjoint analysis of Turkish consumer preferences for energy drinks
    Dolekoglu, Celile O.
    Kara, Ali
    Erel, Gurkan
    DeShields, Oscar W.
    IKTISAT ISLETME VE FINANS, 2010, 25 (290): : 89 - 108
  • [49] Use of big data technologies for the implementation of energy-saving measures and renewable energy sources in buildings
    Guzhov, Sergey
    Krolin, Alexander
    2018 RENEWABLE ENERGIES, POWER SYSTEMS & GREEN INCLUSIVE ECONOMY (REPS-GIE), 2018,
  • [50] Research on Energy-saving Collaborative Optimization Method for Multiple Trains Considering Renewable Energy Utilization
    Jieli, Lv
    Tao, He
    2020 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION, IMAGE AND SIGNAL PROCESSING (CCISP 2020), 2020, : 64 - 69