Prediction of the Old-Age Dependency Ratio in Chinese Cities Using DMSP/OLS Nighttime Light Data

Yue Li, Chengmeng Zhang, Yan Tong, Yalu Zhang and Gong Chen
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Yue Li: Institute of Population Research, Peking University, Beijing 100871, China
Chengmeng Zhang: Institute of Population Research, Peking University, Beijing 100871, China
Yan Tong: Institute of Population Research, Peking University, Beijing 100871, China
Yalu Zhang: Institute of Population Research, Peking University, Beijing 100871, China
Gong Chen: Institute of Ageing Studies, Peking University, Beijing 100871, China

IJERPH, 2022, vol. 19, issue 12, 1-23

Abstract: The old-age dependency ratio (ODR) is an important indicator reflecting the degree of a regional population’s aging. In the context of aging, this study provides a timely and effective method for predicting the ODR in Chinese cities. Using the provincial ODR from the Seventh National Population Census and Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light data, this study aims to predict and analyze the spatial correlation of the municipal ODR in Chinese cities. First, the prediction model of the ODR was established with curve regression. Second, the spatial structure of the municipal ODR was investigated using the Moran’s I method. The experimental results show the following: (1) the correlation between the sum of the nighttime light and ODR is greater than the mean of nighttime light in the study areas; (2) the Sigmoid model fits better than other regression models using the provincial ODR in the past ten years; and (3) there exists an obvious spatial agglomeration and dependence on the municipal ODR. The findings indicate that it is reasonable to use nighttime light data to predict the municipal ODR in large and medium-sized cities. Our approach can provide support for future regional censuses and spatial simulations.

Keywords: old-age dependency ratio; nighttime light data; curve regression model; spatial correlation analysis; large and medium-sized cities (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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