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A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method

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  • Wei Chen
  • Rui He
  • Qun Wu

Abstract

With the rapid and unbalanced development of industry, a large amount of cultivated land is converted into industrial land with lower efficiency. The existing research is extensively concerned with industrial land use and industrial development in isolation, but little attention has been paid to the relationship between them. To help address this gap, the paper creates a new efficiency measure method for industrial land use combining Subvector Data Envelope Analysis (DEA) with spatial analysis approach. The proposed model has been verified by using the industrial land use data of 30 Chinese provinces from 2001 to 2013. The spatial autocorrelation relationship between industrial development and industrial land use efficiency is explored. Furthermore, this paper examines the effects of industrial development on industrial land use efficiency by spatial panel data model. The results indicate that the industrial land use efficiency and the industrial development level in the provinces of eastern region are higher than those of the western region. The spatial distribution of industrial land use efficiency shows remarkable positive spatial autocorrelation. However, the level of industrial development has obvious negative spatial autocorrelation since 2009. The improvement of industrial development has a significant positive impact on the industrial land use efficiency.

Suggested Citation

  • Wei Chen & Rui He & Qun Wu, 2017. "A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method," Complexity, Hindawi, vol. 2017, pages 1-11, December.
    • Handle: RePEc:hin:complx:9516267
    DOI: 10.1155/2017/9516267
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    Cited by:

    1. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    2. Lu Zhang & Xuehan Lin & Bingkui Qiu & Maomao Zhang & Qingsong He, 2022. "The Industrial Sprawl in China from 2010 to 2019: A Multi-Level Spatial Analysis Based on Urban Scaling Law," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    3. Xin Janet Ge & Xiaoxia Liu, 2021. "Urban Land Use Efficiency under Resource-Based Economic Transformation—A Case Study of Shanxi Province," Land, MDPI, vol. 10(8), pages 1-20, August.
    4. Yan, Siqi & Peng, Jianchao & Wu, Qun, 2020. "Exploring the non-linear effects of city size on urban industrial land use efficiency: A spatial econometric analysis of cities in eastern China," Land Use Policy, Elsevier, vol. 99(C).
    5. Qian Wang & Yanan Wang & Wei Chen & Xue Zhou & Minjuan Zhao, 2021. "Factors affecting industrial land use efficiency in China: analysis from government and land market," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10973-10993, July.
    6. Sheng-Hau Lin & Danyang Wang & Xianjin Huang & Xiaofeng Zhao & Jing-Chzi Hsieh & Gwo-Hshiung Tzeng & Jia-Hsuan Li & Jia-Tsong Chen, 2021. "A multi-attribute decision-making model for improving inefficient industrial parks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 887-921, January.
    7. Xiaojun Ye & Lingyun Fan & Cheng Lei, 2023. "Intensive-Use-Oriented Performance Evaluation and Optimization of Rural Industrial Land: A Case Study of Wujiang District, China," Sustainability, MDPI, vol. 15(11), pages 1-19, May.

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