Can nighttime light data be used to estimate electric power consumption? New evidence from causal-effect inference

Nighttime light data are often used to estimate some socioeconomic indicators, such as energy consumption, GDP, population, etc. However, whether there is a causal relationship between them needs further study. In this paper, we propose a causal-effect inference method to test whether nighttime light data are suitable for estimating socioeconomic indicators. Data on electric power consumption and nighttime light intensity in 77 countries were used for the empirical research. The main conclusions are as follows: First, nighttime light data are more appropriate for estimating electric power consumption in developing countries, such as China, India, and others. Second, more latent factors need to be added into the model when estimating the power consumption of developed countries using nighttime light data. Third, the light spillover effect is relatively strong, which is not suitable for estimating socioeconomic indicators in the contiguous regions between developed countries and developing countries, such as Spain, Turkey, and others. Finally, we suggest that more attention should be paid in the future to the intrinsic logical relationship between nighttime light data and socioeconomic indicators.

Publisher: M D P I AG

Type: Article

CITATION

Zhu, Yongguang, Xu, Deyi, Ali, Saleem H., Ma, Ruiyang and Cheng, Jinhua (2019). Can nighttime light data be used to estimate electric power consumption? New evidence from causal-effect inference. Energies 12 (16) 3154 3154.

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Can nighttime light data be used to estimate electric power consumption? New evidence from causal-effect inference
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Can nighttime light data be used to estimate electric power consumption? New evidence from causal-effect inference