Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale
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 ev...
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doaj-6eabde8436644992a700f59bacec6cb02020-11-25T03:44:33ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012020-10-01177833783310.3390/ijerph17217833Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level ScaleDecun Wu0Jinping Liu1School of Public Administration and Sociology, Jiangsu Normal University, Xuzhou 221116, ChinaSchool of Economics and Management, China University of Mining and Technology, Xuzhou 221116, ChinaDue 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:<b> </b>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.https://www.mdpi.com/1660-4601/17/21/7833ecological footprintecological footprint intensityMoran’s Ilocal spatial association indexmicro-levelJiangsu |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Decun Wu Jinping Liu |
spellingShingle |
Decun Wu Jinping Liu Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale International Journal of Environmental Research and Public Health ecological footprint ecological footprint intensity Moran’s I local spatial association index micro-level Jiangsu |
author_facet |
Decun Wu Jinping Liu |
author_sort |
Decun Wu |
title |
Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale |
title_short |
Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale |
title_full |
Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale |
title_fullStr |
Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale |
title_full_unstemmed |
Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale |
title_sort |
spatial and temporal evaluation of ecological footprint intensity of jiangsu province at the county-level scale |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2020-10-01 |
description |
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:<b> </b>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. |
topic |
ecological footprint ecological footprint intensity Moran’s I local spatial association index micro-level Jiangsu |
url |
https://www.mdpi.com/1660-4601/17/21/7833 |
work_keys_str_mv |
AT decunwu spatialandtemporalevaluationofecologicalfootprintintensityofjiangsuprovinceatthecountylevelscale AT jinpingliu spatialandtemporalevaluationofecologicalfootprintintensityofjiangsuprovinceatthecountylevelscale |
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