期刊
REMOTE SENSING OF ENVIRONMENT
卷 134, 期 -, 页码 111-119出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2013.03.001
关键词
Night light; DMSP/OLS; GDP; Panel data; Consumption propensity; Kuznets curve
资金
- Dean Fund of Shenzhen Graduate School, Peking University
- National Natural Science Foundation of China [41271101]
We consider night light as a type of consumer goods and propose a model for factors affecting the relationship between night lights and GDP. It is then decomposed into agricultural and non-agricultural productions. Further, the model is modified to determine how the factors affect residents' propensity to consume lights. Models are tested with time-fixed regression on a set of 15-year panel data of 169 countries globally and regionally. We find that light consumption propensity is affected by GDP per capita, latitude, spatial distribution of human activities and gross saving rate, and that light consumption per capita has an inverted-U relationship with GDP per capita. (c) 2013 Elsevier Inc. All rights reserved.
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