A dataset on energy efficiency grade of white goods in mainland China at regional and household levels

To improve energy-saving management, the energy efficiency grade (EEG) was introduced by the Chinese government in the 2000s and mainly implemented for white goods (WGs) in early stages. However, due to the lack of actual statistics, how effective the promotion of high EEG WGs has been in China is still not clear. The China Energy Efficiency Grade (CEEG) of WGs dataset described here comprises (i) EEG-related data on 5 kinds of WGs at the regional (national, provincial) and household levels in China and (ii) predictions of future average EEG trends. By web crawling, retrieving and processing in SQL, the average EEG data weighted by sales in 30 provinces in mainland China from 2012 to 2019 are provided. Household WG survey data, including household information and average EEG, were collected by distributing questionnaires to 1327 households in Beijing, China. The CEEG dataset will facilitate the advancement of research on household energy consumption, household appliance consumer choice, and the assessment of energy efficiency-related policies.

Automated summary

In order to improve energy-saving management, the Chinese government introduced the energy efficiency grade (EEG) in the 2000s, initially focusing on white goods. However, the effectiveness of promoting high EEG white goods in China is still unclear due to the lack of actual statistics. The China Energy Efficiency Grade (CEEG) dataset described here includes EEG-related data on five types of white goods at the regional and household levels in China, as well as predictions of future average EEG trends.