Authors: Meitong Liu*, University of Utah, Yehua Dennis Wei, University of Utah, Han Li, University of Miami, Yangyi Wu, University of Utah
Topics: Environment, China
Keywords: environmental cost, regional inequality, environmental justice, air pollution, spatial interpolation, multi-level modeling
Session Type: Paper
Start / End Time: 1:10 PM / 2:50 PM
Room: Senate Room, Omni, West
Presentation File: No File Uploaded
Developing countries are constantly facing the dilemma of economic development and controlling of air pollution. In this paper we investigate the relationship of regional inequality in transitional China and the air quality cost of economic development using the data of year 2015. We utilize spatial interpolation to generate the data surface of air pollution. Gini index is used to capture the pattern of environmental cost inequality and regressions are used to identify the determinants of the environmental cost in regional development process with spatial statistical analysis applied. Our preliminary results show that regional inequality plays a significant role in environmental cost, that the central cities with higher administrative hierarchy are yielding more than surrounding lower-level cities at the same environmental cost, which propose a new perspective of environmental justice under the context of regional inequality. The results and discussion would aid in a fuller understanding of environmental justice issues in developing countries.