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Land-Use Change and Efficiency in Laos’ Special Economic Zones

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  • Dongxue Li

    (School of Architecture, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China)

  • Xingping Wang

    (School of Architecture, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China)

Abstract

Special economic zones (SEZs) are important in Laos due to their ability to attract foreign investment, realize industrialization, and promote economic globalization. Based on Laos’ SEZs in operation, this study explored land-use intensity, structural evolution and land-use efficiency in Laos’ SEZs via the land-use dynamic degree, information entropy, super-efficiency data envelopment analysis (DEA) and gray relational analysis (GRA). The study determined that the total land-use area in Laos’ SEZs continuously increased from 2014 to 2020. The land-use intensity changes in the SEZs can be divided into three types, i.e., high intensity, medium intensity and low intensity, and most SEZs belonged to the medium-intensity type. The proportion of land used in production systems in Laos’ SEZs increased the most, and the proportion of infrastructure land notably decreased. The overall information entropy of the land-use structure exhibited an initial downward and then an upward trend. In 2018, the land-use efficiency in the Savan-Seno SEZ, Vientiane Industrial and Trade Area, Dongphosy SEZ, and Golden Triangle SEZ was relatively optimal. The basic factors of the industrial space and the factors reflecting international cooperation attributes were highly related to the land-use efficiency in Laos’ SEZs.

Suggested Citation

  • Dongxue Li & Xingping Wang, 2021. "Land-Use Change and Efficiency in Laos’ Special Economic Zones," Land, MDPI, vol. 10(10), pages 1-19, September.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:10:p:1012-:d:643774
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    References listed on IDEAS

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    1. Xie, Hualin & Chen, Qianru & Lu, Fucai & Wu, Qing & Wang, Wei, 2018. "Spatial-temporal disparities, saving potential and influential factors of industrial land use efficiency: A case study in urban agglomeration in the middle reaches of the Yangtze River," Land Use Policy, Elsevier, vol. 75(C), pages 518-529.
    2. Liu, Shuchang & Xiao, Wu & Li, Linlin & Ye, Yanmei & Song, Xiaoli, 2020. "Urban land use efficiency and improvement potential in China: A stochastic frontier analysis," Land Use Policy, Elsevier, vol. 99(C).
    3. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    4. Jing Huang & Dongqian Xue, 2019. "Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Matthias Staat & Maik Hammerschmidt, 2005. "Product performance evaluation: a super-efficiency model," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 7(3), pages 304-319.
    7. Daquan Huang & Yue Lang & Tao Liu, 2021. "The Evolving Structure of Rural Construction Land in Urbanizing China: Case Study of Tai’an Prefecture," Land, MDPI, vol. 10(1), pages 1-18, January.
    8. Yayuan Pang & Xinjun Wang, 2020. "Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
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