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

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  • Hualin Xie

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Zhifei Liu

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

  • Peng Wang

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Guiying Liu

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

  • Fucai Lu

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

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.

Suggested Citation

  • Hualin Xie & Zhifei Liu & Peng Wang & Guiying Liu & Fucai Lu, 2013. "Exploring the Mechanisms of Ecological Land Change Based on the Spatial Autoregressive Model: A Case Study of the Poyang Lake Eco-Economic Zone, China," IJERPH, MDPI, vol. 11(1), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:11:y:2013:i:1:p:583-599:d:31781
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    References listed on IDEAS

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    1. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
    2. Sung-Eun Kim & Debbie Niemeier, 2001. "A Weighted Autoregressive Model to Improve Mobile Emissions Estimates for Locations with Spatial Dependence," Transportation Science, INFORMS, vol. 35(4), pages 413-424, November.
    3. Gaither, Cassandra Johnson & Poudyal, Neelam C. & Goodrick, Scott & Bowker, J.M. & Malone, Sparkle & Gan, Jianbang, 2011. "Wildland fire risk and social vulnerability in the Southeastern United States: An exploratory spatial data analysis approach," Forest Policy and Economics, Elsevier, vol. 13(1), pages 24-36, January.
    4. Cem Ertur & Wilfried Koch, 2006. "Regional disparities in the European Union and the enlargement process: an exploratory spatial data analysis, 1995–2000," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(4), pages 723-765, December.
    5. Rachel Guillain & Julie Le Gallo, 2010. "Agglomeration and Dispersion of Economic Activities in and around Paris: An Exploratory Spatial Data Analysis," Environment and Planning B, , vol. 37(6), pages 961-981, December.
    6. Ludivine Eloy & Philippe M�ral & Thomas Ludewigs & Gustavo Tosello Pinheiro & Benjamin Singer, 2012. "Payments for ecosystem services in Amazonia. The challenge of land use heterogeneity in agricultural frontiers near Cruzeiro do Sul (Acre,Brazil)," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 55(6), pages 685-703, September.
    7. Hualin Xie & Chih-Chun Kung & Yanting Zhang & Xiubin Li, 2012. "Simulation of Regionally Ecological Land Based on a Cellular Automation Model: A Case Study of Beijing, China," IJERPH, MDPI, vol. 9(8), pages 1-16, August.
    8. Miklas Scholz & Åsa Hedmark & William Hartley, 2012. "Recent advances in sustainable multifunctional land and urban management in Europe: a review," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 55(7), pages 833-854, September.
    9. David Gray, 2012. "District House Price Movements in England and Wales 1997–2007: An Exploratory Spatial Data Analysis Approach," Urban Studies, Urban Studies Journal Limited, vol. 49(7), pages 1411-1434, May.
    10. Stephen Hynes & Danny Campbell, 2011. "Estimating the welfare impacts of agricultural landscape change in Ireland: a choice experiment approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(8), pages 1019-1039, November.
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