• Submit to IJERPH Login Register
• MDPI
• Journals A-Z
• For Authors
• For Editors
• For Librarians
• About
• Open Access Policy

• Abstract
• Full-Text HTML
• Full-Text PDF [630 KB]
• Full-Text XML
• Article Versions Notes

• Article Statistics
• PubMed/Medline
• Google Scholar
• Order Reprints

• Cite this article
• Export to BibTeX
• Export to EndNote

• [+] on DOAJ
• Xie, H
• Liu, Z
• Wang, P
• Liu, G
• Lu, F
• [+] on Google Scholar
• Xie, H
• Liu, Z
• Wang, P
• Liu, G
• Lu, F
• [+] on PubMed
• Xie, H
• Liu, Z
• Wang, P
• Liu, G
• Lu, F

•  CiteULike
•  Facebook
•  Mendeley
•  Twitter
• More services

Open AccessThis article is

• freely available
• re-usable

Int. J. Environ. Res. Public Health 2014, 11(1), 583-599; doi:10.3390/ijerph110100583

Article

Exploring the Mechanisms of Ecological Land Change Based on the Spatial Autoregressive Model: A Case Study of the Poyang Lake Eco-Economic Zone, China

Hualin Xie ^1,* , Zhifei Liu ^1,2, Peng Wang ¹, Guiying Liu ^1,2 and Fucai Lu ¹

¹ Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China ² School of Economics and Management, Jiangxi Agriculture University, Nanchang 330045, China

* Author to whom correspondence should be addressed.

Received: 25 October 2013; in revised form: 12 December 2013 / Accepted: 23 December 2013 / Published: 31 December 2013

(This article belongs to the Special Issue IJERPH: 10th Anniversary)

Download PDF Full-Text [630 KB, Updated Version, uploaded 3 January 2014 14:13 CET]

The original version is still available [1015 KB, uploaded 31 December 2013 10:59 CET]

Abstract: Ecological land is one of the key resources and conditions for the survival of humans because it can provide ecosystem services and is particularly important to public health and safety. It is extremely valuable for effective ecological management to explore the evolution mechanisms of ecological land. Based on spatial statistical analyses, we explored the spatial disparities and primary potential drivers of ecological land change in the Poyang Lake Eco-economic Zone of China. The results demonstrated that the global Moran’s I value is 0.1646 during the 1990 to 2005 time period and indicated significant positive spatial correlation (p < 0.05). The results also imply that the clustering trend of ecological land changes weakened in the study area. Some potential driving forces were identified by applying the spatial autoregressive model in this study. The results demonstrated that the higher economic development level and industrialization rate were the main drivers for the faster change of ecological land in the study area. This study also tested the superiority of the spatial autoregressive model to study the mechanisms of ecological land change by comparing it with the traditional linear regressive model.

Keywords: ecological land; public health and safety; land use change; ecological management; spatial autocorrelation; spatial autoregressive model

Article Statistics

Citations to this Article

Cite This Article