Locational determinants of emissions from pollution-intensive firms in urban areas.
Ontology highlight
ABSTRACT: Industrial pollution has remained as one of the most daunting challenges for many regions around the world. Characterizing the determinants of industrial pollution should provide important management implications. Unfortunately, due to the absence of high-quality data, rather few studies have systematically examined the locational determinants using a geographical approach. This paper aimed to fill the gap by accessing the pollution source census dataset, which recorded the quantity of discharged wastes (waste water and solid waste) from 717 pollution-intensive firms within Huzhou City, China. Spatial exploratory analysis was applied to analyze the spatial dependency and local clusters of waste emissions. Results demonstrated that waste emissions presented significantly positive autocorrel
SUBMITTER: Zhou M
PROVIDER: S-EPMC4416044 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
ACCESS DATA