IEEE Access (Jan 2023)

Calculation of the Proportion of Population Using Clean Cooking Fuel and Technology Based on Earth Big Data: A Case Study in the South of the Yangtze River in China

  • Jianping Pan,
  • Yuxin Yuan,
  • Zhihao Guo,
  • Mingquan Wu,
  • Yimeng Li,
  • Chen Qi,
  • Huijuan Zhang

DOI
https://doi.org/10.1109/ACCESS.2023.3340252
Journal volume & issue
Vol. 11
pp. 138165 – 138175

Abstract

Read online

Cooking is a very decentralized and private way of energy consumption in human activities. The existing investigation and statistical analysis can’t effectively calculate the proportion of population relying on clean cooking fuel and utilization technology in the region. Therefore, based on the big data of the earth, this paper adopts the combination of spatial analysis and statistical analysis to determine the survey sample area, and according to the economic conditions, topographic characteristics, national policies for new energy construction and living habits of the provinces and cities under investigation, the questionnaire survey is conducted for the research area to calculate the proportion of the regional population relying on clean cooking fuels and utilization technologies. Taking the south of the Yangtze River in China as an example, the paper effectively calculates that 88.25% of the population depends on clean cooking fuel and technology in this region, of which 89.81% are in urban areas and 79.87% are in rural areas. Analysis of the survey data shows that the proportion of the population using clean cooking fuels and technologies is related to factors such as economic development, income and resource endowment. There is a large urban–rural gap in terms of energy consumption tendency and structure in the south of the Yangtze River in China and cooking energy consumption in rural households also varies from region to region. The technical ideas and conclusions of the paper have high reference application value, which can help promote the upgrading of clean energy utilization and provide data basis for relevant decision and policy making.

Keywords