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Open AccessArticle

Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale

by 1 and 2,*
1
School of Public Administration and Sociology, Jiangsu Normal University, Xuzhou 221116, China
2
School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(21), 7833; https://doi.org/10.3390/ijerph17217833
Received: 10 September 2020 / Revised: 17 October 2020 / Accepted: 23 October 2020 / Published: 26 October 2020
(This article belongs to the Section Environmental Science and Engineering)
Due to the high ecological pressure that exists in the process of rapid economic development in Jiangsu Province, it is necessary to evaluate its ecological footprint intensity (EFI). This article focuses on ecological footprint intensity analysis at the county scale. We used county-level data to evaluate the spatial distributions and temporal trends of the ecological footprint intensity in Jiangsu’s counties from 1995 to 2015. The temporal trends of counties are divided into five types: linear declining type, N-shape type, inverted-N type, U-shape type and inverted-U shape type. It was discovered that the proportions of the carbon footprint intensity were maintained or increased in most counties. Exploratory spatial data analysis shows that there was a certain regularity of the EFI spatial distributions, i.e., a gradient decrease from north to south, and there was a decline in the spatial heterogeneity of EFI in Jiangsu’s counties over time. The global Moran’s index (Moran’s I) and local spatial association index (LISA) are used to analyze both the global and local spatial correlation of EFIs among counties of Jiangsu Province. The high-high and low-low agglomeration effects were the most common, and there were assimilation impacts of counties with strong agglomeration on adjacent units over time. The results implied the utility of differentiated EFI reduction control measures and promotion of low-low agglomeration and suppression of high-high agglomeration in EFI-related ecology policy. View Full-Text
Keywords: ecological footprint; ecological footprint intensity; Moran’s I; local spatial association index; micro-level; Jiangsu ecological footprint; ecological footprint intensity; Moran’s I; local spatial association index; micro-level; Jiangsu
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Wu, D.; Liu, J. Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale. Int. J. Environ. Res. Public Health 2020, 17, 7833.

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