IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i8p10171-10190d53473.html
   My bibliography  Save this article

Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model

Author

Listed:
  • Hualin Xie

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

  • Wei Wang

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

Abstract

Using a sequential slack-based measure (SSBM) model, this paper analyzes the spatiotemporal disparities of urban land use economic efficiency (ULUEE) under environmental constraints, and its influencing factors in 270 cities across China from 2003–2012. The main results are as follows: (1) The average ULUEE for Chinese cities is only 0.411, and out of the 270 cities, only six cities are always efficient in urban land use in the study period. Most cities have a lot of room to improve the economic output of secondary and tertiary industries, as well as environmental protection work; (2) The eastern region of China enjoys the highest ULUEE, followed by the western and central regions. Super-scale cities show the best performance of all four city scales, followed by large-scale, small-scale and medium-scale cities. Cities with relatively developed economies and less pollutant discharge always have better ULUEE; (3) The results of slack variables analysis show that most cities have problems such as the labor surplus, over-development, excessive pollutant discharge, economic output shortage, and unreasonable use of funds is the most serious one; (4) The regression results of the influencing factors show that improvements of the per capita GDP and land use intensity are helpful to raise ULUEE. The urbanization rate and the proportion of foreign enterprises’ output account for the total output in the secondary and tertiary industries only have the same effect in some regions and city scales. The land management policy and land leasing policy have negative impact on the ULUEE in all the three regions and four city scales; (5) Some targeted policy goals are proposed, including the reduction of surplus labor, and pay more attention to environmental protection. Most importantly, effective implementation of land management policies from the central government, and stopping blind leasing of land to make up the local government’s financial deficit would be very helpful to improve the ULUEE of Chinese cities.

Suggested Citation

  • Hualin Xie & Wei Wang, 2015. "Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model," Sustainability, MDPI, vol. 7(8), pages 1-20, July.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10171-10190:d:53473
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/8/10171/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/7/8/10171/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    2. Fisch, Oscar, 1982. "Optimal allocation of land to transportation in a non-optimal urban structure," Regional Science and Urban Economics, Elsevier, vol. 12(2), pages 235-246, May.
    3. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    4. Jiang, Xuemei & Zhu, Kunfu & Green, Christopher, 2015. "The energy efficiency advantage of foreign-invested enterprises in China and the role of structural differences," China Economic Review, Elsevier, vol. 34(C), pages 225-235.
    5. Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    6. Jiadan Li & Jinsong Deng & Ke Wang & Jun Li & Tao Huang & Yi Lin & Haiyan Yu, 2014. "Spatiotemporal Patterns of Urbanization in a Developed Region of Eastern Coastal China," Sustainability, MDPI, vol. 6(7), pages 1-17, June.
    7. Ning Zhang & Jong-Dae Kim, 2014. "Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure," Sustainability, MDPI, vol. 6(3), pages 1-13, March.
    8. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huikun Hong & Deti Xie & Heping Liao & Bo Tu & Jun Yang, 2017. "Land Use Efficiency and Total Factor Productivity—Distribution Dynamic Evolution of Rural Living Space in Chongqing, China," Sustainability, MDPI, vol. 9(4), pages 1-16, March.
    2. Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).
    3. Yongrok Choi & Na Wang, 2017. "The Economic Efficiency of Urban Land Use with a Sequential Slack-Based Model in Korea," Sustainability, MDPI, vol. 9(1), pages 1-12, January.
    4. Jin Zhu & Dequn Zhou & Zhengning Pu & Huaping Sun, 2019. "A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    5. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
    6. Yongrok Choi & Malin Song & Seunghwan Myeong, 2016. "Introduction to the Special Issue on the Sustainable Asia Conference 2015," Sustainability, MDPI, vol. 8(3), pages 1-9, March.
    7. Song, Yang & Yeung, Godfrey & Zhu, Daolin & Xu, Yang & Zhang, Lixin, 2022. "Efficiency of urban land use in China’s resource-based cities, 2000–2018," Land Use Policy, Elsevier, vol. 115(C).
    8. Miaoxi Zhao & Gaofeng Xu & Martin de Jong & Xinjian Li & Pingcheng Zhang, 2020. "Examining the Density and Diversity of Human Activity in the Built Environment: The Case of the Pearl River Delta, China," Sustainability, MDPI, vol. 12(9), pages 1-21, May.
    9. Han, Bo & Jin, Xiaobin & Sun, Rui & Li, Hanbing & Liang, Xinyuan & Zhou, Yinkang, 2023. "Understanding land-use sustainability with a systematical framework: An evaluation case of China," Land Use Policy, Elsevier, vol. 132(C).
    10. Yizhou Wu & Peilei Fan & Bo Li & Zutao Ouyang & Yong Liu & Heyuan You, 2017. "The Effectiveness of Planning Control on Urban Growth: Evidence from Hangzhou, China," Sustainability, MDPI, vol. 9(5), pages 1-24, May.
    11. Huifang Cheng & Ting Yu & Hao Zhang & Kaifeng Duan & Jianing Zhu, 2022. "Dynamic Estimation of Urban Land Use Efficiency and Sustainability Analysis in China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    12. Ningyi Liu & Yongyu Wang, 2022. "Urban Agglomeration Ecological Welfare Performance and Spatial Convergence Research in the Yellow River Basin," Land, MDPI, vol. 11(11), pages 1-18, November.
    13. Yanxi Lei & Zuoji Dong & Jichang Dong & Zhi Dong, 2023. "Multidimensional Evaluation of Urban Land-Use Efficiency and Innovation Capability Analysis: A Case Study in the Pearl River Delta Region, China," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    14. Pu, Zhengning & Fu, Jiasha & Zhang, Chi & Shao, Jun, 2018. "Structure decomposition analysis of embodied carbon from transition economies," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 1-12.
    15. Fang, Wei & An, Haizhong & Li, Huajiao & Gao, Xiangyun & Sun, Xiaoqi & Zhong, Weiqiong, 2017. "Accessing on the sustainability of urban ecological-economic systems by means of a coupled emergy and system dynamics model: A case study of Beijing," Energy Policy, Elsevier, vol. 100(C), pages 326-337.
    16. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    17. Zhu, Xinhua & Li, Yan & Zhang, Peifeng & Wei, Yigang & Zheng, Xuyang & Xie, Lingling, 2019. "Temporal–spatial characteristics of urban land use efficiency of China’s 35mega cities based on DEA: Decomposing technology and scale efficiency," Land Use Policy, Elsevier, vol. 88(C).
    18. Li, Bingqing & Wang, Zhanqi & Chai, Ji & Zhang, Di, 2019. "Index system to assess implementation of strategic land use plans in China," Land Use Policy, Elsevier, vol. 88(C).
    19. Xie, Hualin & Yu, Yanni & Wang, Wei & Liu, Yanchu, 2017. "The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China," Energy Policy, Elsevier, vol. 107(C), pages 63-71.
    20. Xiaodong Yang & Yongxiang Wu & Hang Dang, 2017. "Urban Land Use Efficiency and Coordination in China," Sustainability, MDPI, vol. 9(3), pages 1-12, March.
    21. Jingxin, Gao & Jinbo, Song & Lufang, Wu, 2022. "A new methodology to measure the urban construction land-use efficiency based on the two-stage DEA model," Land Use Policy, Elsevier, vol. 112(C).
    22. Yuyao Ye & Shengfa Li & Hongou Zhang & Yongxian Su & Qitao Wu & Changjian Wang, 2017. "Spatial-Temporal Dynamics of the Economic Efficiency of Construction Land in the Pearl River Delta Megalopolis from 1998 to 2012," Sustainability, MDPI, vol. 10(1), pages 1-18, December.
    23. Xinhai Lu & Bing Kuang & Jing Li & Jing Han & Zuo Zhang, 2018. "Dynamic Evolution of Regional Discrepancies in Carbon Emissions from Agricultural Land Utilization: Evidence from Chinese Provincial Data," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    24. Wei Wang & Hualin Xie & Fucai Lu & Xinmin Zhang, 2017. "Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    25. Wei Wang & Hualin Xie & Tong Jiang & Daobei Zhang & Xue Xie, 2016. "Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index," Sustainability, MDPI, vol. 8(4), pages 1-19, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    3. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
    4. Ming Meng & Yanan Fu & Tianyu Wang & Kaiqiang Jing, 2017. "Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
    5. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    6. Zhen Shi & Fengping Wu & Huinan Huang & Xinrui Sun & Lina Zhang, 2019. "Comparing Economics, Environmental Pollution and Health Efficiency in China," IJERPH, MDPI, vol. 16(23), pages 1-30, December.
    7. Shuangjie Li & Li Li & Liming Wang, 2020. "2030 Target for Energy Efficiency and Emission Reduction in the EU Paper Industry," Energies, MDPI, vol. 14(1), pages 1-17, December.
    8. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    9. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    10. Teng, Xiangyu & Liu, Fan-peng & Chiu, Yung-ho, 2021. "The change in energy and carbon emissions efficiency after afforestation in China by applying a modified dynamic SBM model," Energy, Elsevier, vol. 216(C).
    11. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    12. Jiekun Song & Zhicheng Liu & Rui Chen & Xueli Leng, 2023. "Calculation and Allocation of Atmospheric Environment Governance Cost in the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    13. Chia-Nan Wang & Hong-Xuyen Thi Ho & Shih-Hsiung Luo & Tsung-Fu Lin, 2017. "An Integrated Approach to Evaluating and Selecting Green Logistics Providers for Sustainable Development," Sustainability, MDPI, vol. 9(2), pages 1-21, February.
    14. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    15. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    16. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    17. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    18. Yongrok Choi & Fan Yang & Hyoungsuk Lee, 2020. "On the Unbalanced Atmospheric Environmental Performance of Major Cities in China," Sustainability, MDPI, vol. 12(13), pages 1-14, July.
    19. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    20. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10171-10190:d:53473. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.