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Influencing factors and energy-saving effects of China's trade-in of consumer goods: A case study of air conditioners based on questionnaire survey

Author

Listed:
  • Kong, Lingsi
  • Bai, Yan
  • Shao, Jiajia
  • Liu, Jialin
  • Bai, Xue

Abstract

In 2024, the Chinese government initiated a policy aiming to facilitate the trade-ins of consumer goods, with a particular emphasis on improving the energy efficiency of household appliances. Against this backdrop, large-scale questionnaire surveys were employed in this study to analyze the factors that influence Chinese residents' usage and purchase behaviors regarding air conditioners (ACs) and evaluate the energy-saving effects associated with the trade-in deal. The findings revealed that brand is the paramount consideration for residents purchasing ACs, with the majority willing-to-pay up to 10 % more for a relatively energy-efficient AC. Regarding AC usage, variations in temperature settings and operation duration led to considerable disparities in energy-saving effects across regions. Specifically, the trade-in of each grade 1 AC in the southeastern region was estimated to achieve an annual electricity saving of 43.5 kWh, compared to 11.5 kWh in the northeastern region. Moreover, a critical finding is that while the trade-in policy could theoretically lead to an annual electricity saving of 4.85 billion kWh for China, the rebound effect could reduce this figure to 790 million kWh. Therefore, in this study, policy implications for the ‘Upgrades and Trade-ins' policy are proposed to strengthen the country's energy conservation goals.

Suggested Citation

  • Kong, Lingsi & Bai, Yan & Shao, Jiajia & Liu, Jialin & Bai, Xue, 2025. "Influencing factors and energy-saving effects of China's trade-in of consumer goods: A case study of air conditioners based on questionnaire survey," Energy, Elsevier, vol. 326(C).
  • Handle: RePEc:eee:energy:v:326:y:2025:i:c:s0360544225018730
    DOI: 10.1016/j.energy.2025.136231
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    1. Zhu, Mengshu & Huang, Ying & Wang, Si-Nuo & Zheng, Xinye & Wei, Chu, 2023. "Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data," Energy, Elsevier, vol. 265(C).
    2. Xiao, Yilong & Ma, Teng & Fang, Yan Ru & Huang, Chen & Dai, Hancheng, 2024. "Disparity and driving forces of energy consumption in China's provincial urban residential sector under the carbon neutrality target," Energy, Elsevier, vol. 301(C).
    3. Liu, Xiangyu & Li, Tao & Ma, Jiangqiaoyu & Wu, Pinguo & Li, Yang & Chen, Min & Li, Guannan & Mao, Qianjun, 2024. "Correlation analysis of occupancy and air-conditioning behavior of different offices based on a large-scale survey in HSCW zone of China," Energy, Elsevier, vol. 311(C).
    4. Wu, Jianghong & Liu, Chaopeng & Li, Hongqi & Ouyang, Dong & Cheng, Jianhong & Wang, Yuanxia & You, Shaofang, 2017. "Residential air-conditioner usage in China and efficiency standardization," Energy, Elsevier, vol. 119(C), pages 1036-1046.
    5. Zhang, Yixiang & Li, Juan & Tao, Wenwen, 2021. "Does energy efficiency affect appliance prices? Empirical analysis of air conditioners in China based on propensity score matching," Energy Economics, Elsevier, vol. 101(C).
    6. Piselli, Cristina & Pisello, Anna Laura, 2019. "Occupant behavior long-term continuous monitoring integrated to prediction models: Impact on office building energy performance," Energy, Elsevier, vol. 176(C), pages 667-681.
    7. Buyak, Nadia & Deshko, Valeriy & Bilous, Inna & Pavlenko, Anatoliy & Sapunov, Anatoliy & Biriukov, Dmytro, 2023. "Dynamic interdependence of comfortable thermal conditions and energy efficiency increase in a nursery school building for heating and cooling period," Energy, Elsevier, vol. 283(C).
    8. Jones, Rory V. & Fuertes, Alba & Lomas, Kevin J., 2015. "The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 901-917.
    9. Karali, Nihan & Shah, Nihar & Park, Won Young & Khanna, Nina & Ding, Chao & Lin, Jiang & Zhou, Nan, 2020. "Improving the energy efficiency of room air conditioners in China: Costs and benefits," Applied Energy, Elsevier, vol. 258(C).
    10. Liddle, Brantley & Loi, Tian Sheng Allan & Owen, Anthony D. & Tao, Jacqueline, 2020. "Evaluating consumption and cost savings from new air-conditioner purchases: The case of Singapore," Energy Policy, Elsevier, vol. 145(C).
    11. Xu, Yue & Wang, Qingsong & Tian, Shu & Liu, Mengyue & Zhang, Yujie & Yuan, Xueliang & Ma, Qiao & Liu, Chengqing, 2024. "How to promote CO2 reduction in urban households from a micro perspective?," Energy, Elsevier, vol. 293(C).
    12. Zhang, Yixiang & Song, Bowei, 2023. "Does energy-efficiency label affect appliance price? Empirical analysis of the new national standard air conditioners in China," Energy, Elsevier, vol. 269(C).
    13. Zhang, Yixiang & Tao, Wenwen, 2020. "Will energy efficiency affect appliance price? An empirical analysis of refrigerators in China based on hedonic price model," Energy Policy, Elsevier, vol. 147(C).
    14. Tang, Wenjun & Wang, Hao & Lee, Xian-Long & Yang, Hong-Tzer, 2022. "Machine learning approach to uncovering residential energy consumption patterns based on socioeconomic and smart meter data," Energy, Elsevier, vol. 240(C).
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