IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i19p7297-d424255.html
   My bibliography  Save this article

Spatio-Econometric Analysis of Urban Land Use Efficiency in China from the Perspective of Natural Resources Input and Undesirable Outputs: A Case Study of 287 Cities in China

Author

Listed:
  • Xiao Han

    (School of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

  • Anlu Zhang

    (School of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

  • Yinying Cai

    (School of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

The rapid urbanization in China has had a huge impact on land use and the scarcity of land resources has become a constraint for sustainable urban development. As urban land is an indispensable material basis in economic development, measuring its use efficiency and adopting effective policies to improve urban land use efficiency (ULUE) are important links in maintaining sustainable economic growth. By establishing a comprehensive ULUE evaluation index system that emphasizes on incorporating the natural resources input and the undesirable output, ULUE from 2010 to 2016 was calculated based on super efficiency SBM model, and its potential influencing factors were explored using a spatial econometric model. The results show that: (1) temporally, the overall ULUE in China is upward growing, and the gap among regions is becoming gradually convergent. (2) Spatially, the ULUE of Chinese cities are positively correlated. (3) Economic agglomeration and industrial structure significantly improve ULUE in China, but the intensity of energy consumption has a negative impact on ULUE. We suggest that: (1) differentiated industrial development strategies should be formulated; (2) the economic growth pattern should be changed from energy-consuming to energy-saving; (3) priority should be given to innovation on science and education, so as to increase in clean energy input and cleaner production.

Suggested Citation

  • Xiao Han & Anlu Zhang & Yinying Cai, 2020. "Spatio-Econometric Analysis of Urban Land Use Efficiency in China from the Perspective of Natural Resources Input and Undesirable Outputs: A Case Study of 287 Cities in China," IJERPH, MDPI, vol. 17(19), pages 1-21, October.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7297-:d:424255
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/19/7297/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/19/7297/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gianni Guastella & Stefano Pareglio & Paolo Sckokai, 2017. "A Spatial Econometric Analysis of Land Use Efficiency in Large and Small Municipalities," Working Papers 2017.03, Fondazione Eni Enrico Mattei.
    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. John Loomis, 2005. "Valuing Environmental and Natural Resources: The Econometrics of Non-Market Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 529-530.
    4. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    5. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    6. Capozza, Dennis R. & Helsley, Robert W., 1989. "The fundamentals of land prices and urban growth," Journal of Urban Economics, Elsevier, vol. 26(3), pages 295-306, November.
    7. Joseph DeSalvo & Qing Su, 2017. "Determinants of Urban Sprawl: A Panel Data Approach," Working Papers 0217, University of South Florida, Department of Economics.
    8. He, Sanwei & Yu, Shan & Li, Guangdong & Zhang, Junfeng, 2020. "Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities," Land Use Policy, Elsevier, vol. 95(C).
    9. Peneder, Michael, 2003. "Industrial structure and aggregate growth," Structural Change and Economic Dynamics, Elsevier, vol. 14(4), pages 427-448, December.
    10. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency？ A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    11. Taher Osman & Prasanna Divigalpitiya & Takafumi Arima, 2016. "Driving factors of urban sprawl in Giza governorate of the Greater Cairo Metropolitan Region using a logistic regression model," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(2), pages 206-225, July.
    12. Hu, Fox Z.Y. & Qian, Jiwei, 2017. "Land-based finance, fiscal autonomy and land supply for affordable housing in urban China: A prefecture-level analysis," Land Use Policy, Elsevier, vol. 69(C), pages 454-460.
    13. Shih, Mi & Chiang, Ying-Hui & Chang, Hsiutzu Betty, 2019. "Where does floating TDR land? An analysis of location attributes in real estate development in Taiwan," Land Use Policy, Elsevier, vol. 82(C), pages 832-840.
    14. Wang, Yuan & Hui, Eddie Chi-man, 2017. "Are local governments maximizing land revenue? Evidence from China," China Economic Review, Elsevier, vol. 43(C), pages 196-215.
    15. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    16. Zhizhong Yao, 2015. "How Can China Avoid the Middle Income Trap?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(5), pages 26-42, September.
    17. Wheaton, William C., 1982. "Urban residential growth under perfect foresight," Journal of Urban Economics, Elsevier, vol. 12(1), pages 1-21, July.
    18. 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. Yi, Zhang & Zhou, Wenwu & Razzaq, Asif & Yang, Yao, 2023. "Land resource management and sustainable development: Evidence from China's regional data," Resources Policy, Elsevier, vol. 84(C).
    2. Lina Peng & Juan Liang & Kexin Wang & Wenqian Xiao & Jian Zou & Yuxuan Hong & Rui Ding, 2024. "Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China," Sustainability, MDPI, vol. 16(8), pages 1-31, April.
    3. Xi Wu & Yajuan Wang & Hongbo Zhu, 2022. "Does Economic Growth Lead to an Increase in Cultivated Land Pressure? Evidence from China," Land, MDPI, vol. 11(9), pages 1-19, September.
    4. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    5. Dongqing Han & Zhengxu Cao, 2024. "Evaluation and Influential Factors of Urban Land Use Efficiency in Yangtze River Economic Belt," Land, MDPI, vol. 13(5), pages 1-17, May.
    6. Jun Fu & Rui Ding & Yilin Zhang & Tao Zhou & Yiming Du & Yuqi Zhu & Linyu Du & Lina Peng & Jian Zou & Wenqian Xiao, 2022. "The Spatial-Temporal Transition and Influencing Factors of Green and Low-Carbon Utilization Efficiency of Urban Land in China under the Goal of Carbon Neutralization," IJERPH, MDPI, vol. 19(23), pages 1-25, December.
    7. Ye Tian & Jiangfeng Li, 2023. "Improvement Pathways for Urban Land Use Efficiency in the Beijing-Tianjin-Hebei Urban Agglomeration at the County Level: A Context-Dependent DEA Based on the Closest Target," IJERPH, MDPI, vol. 20(5), pages 1-22, March.
    8. Liu Yang & Bingyang Han & Zhili Ma & Ting Wang & Yingchao Lin, 2022. "Analysis of the Urban Land Use Efficiency in the New-Type Urbanization Process of China’s Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(13), pages 1-22, July.
    9. Houtian Tang & Yuanlai Wu & Jinxiu Chen & Liuxin Deng & Minjie Zeng, 2022. "How Does Change in Rural Residential Land Affect Cultivated Land Use Efficiency? An Empirical Study Based on 42 Cities in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 11(12), pages 1-20, December.

    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. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    2. Yahong Liu & Hailian Sun & Lei Shi & Huimin Wang & Zhai Xiu & Xiao Qiu & Hong Chang & Yu Xie & Yang Wang & Chengjie Wang, 2021. "Spatial-Temporal Changes and Driving Factors of Land-Use Eco-Efficiency Incorporating Ecosystem Services in China," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    3. Yue Zhou & Yi Chen & Yi Hu, 2021. "Assessing Efficiency of Urban Land Utilisation under Environmental Constraints in Yangtze River Delta, China," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    4. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    5. Xinhai Lu & Yifeng Tang & Shangan Ke, 2021. "Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China," Land, MDPI, vol. 10(3), pages 1-15, March.
    6. Hangang Hu & Lisha Pan & Xin Jing & Guan Li & Yuefei Zhuo & Zhongguo Xu & Yang Chen & Xueqi Wang, 2022. "The Spatiotemporal Non-Stationary Effect of Industrial Agglomeration on Urban Land Use Efficiency: A Case Study of Yangtze River Delta, China," Land, MDPI, vol. 11(5), pages 1-27, May.
    7. Chengzhen Song & Qingfang Liu & Jinping Song & Zhengyun Jiang & Zhilin Lu & Yueying Chen, 2022. "Land Use Efficiency in the Yellow River Basin in the Background of China’s Economic Transformation: Spatial-Temporal Characteristics and Influencing Factors," Land, MDPI, vol. 11(12), pages 1-22, December.
    8. Xufeng Cui & Sisi Huang & Cuicui Liu & Tingting Zhou & Ling Shan & Fengyuan Zhang & Min Chen & Fei Li & Walter T. de Vries, 2021. "Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China," Land, MDPI, vol. 10(9), pages 1-15, August.
    9. Guangya Zhou & Helian Xu & Chuanzeng Jiang & Shiqi Deng & Liming Chen & Zhi Zhang, 2024. "Has the Digital Economy Improved the Urban Land Green Use Efficiency? Evidence from the National Big Data Comprehensive Pilot Zone Policy," Land, MDPI, vol. 13(7), pages 1-25, June.
    10. Huang, Hongyun & Wang, Fengrong & Song, Malin & Balezentis, Tomas & Streimikiene, Dalia, 2021. "Green innovations for sustainable development of China: Analysis based on the nested spatial panel models," Technology in Society, Elsevier, vol. 65(C).
    11. Xinhai Lu & Zhenxing Shi & Jia Li & Junhao Dong & Mingjie Song & Jiao Hou, 2022. "Research on the Impact of Factor Flow on Urban Land Use Efficiency from the Perspective of Urbanization," Land, MDPI, vol. 11(3), pages 1-17, March.
    12. Siwen Xia & Jiaying Han & Anglu Li & Penghao Ye & Huarong Zhang, 2024. "Impact of Free Trade (Pilot) Zone Establishment on Urban Land Use Efficiency—Empirical Evidence from Cities in China," Land, MDPI, vol. 13(7), pages 1-25, July.
    13. Yufan Sun & Zhuo Jia & Qi Chen & Heya Na, 2022. "Spatial Pattern and Spillover Effects of the Urban Land Green Use Efficiency for the Lanzhou-Xining Urban Agglomeration of the Yellow River Basin," Land, MDPI, vol. 12(1), pages 1-15, December.
    14. Yu, Binbin & Zhou, Xinru, 2023. "Urban administrative hierarchy and urban land use efficiency: Evidence from Chinese cities," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 178-195.
    15. 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).
    16. Kun Wang & Xiao Ouyang & Qingyun He & Xiang Zhu, 2022. "Impact of Urban Land Expansion Efficiency on Ecosystem Services: A Case Study of the Three Major Urban Agglomerations along the Yangtze River Economic Belt," Land, MDPI, vol. 11(9), pages 1-20, September.
    17. Yongyi Cheng & Tianyuan Shao & Huilin Lai & Manhong Shen & Yi Li, 2019. "Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    18. 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.
    19. Xiaohu Li & Xigang Zhu & Jianshu Li & Chao Gu, 2021. "Influence of Different Industrial Agglomeration Modes on Eco-Efficiency in China," IJERPH, MDPI, vol. 18(24), pages 1-23, December.
    20. Xue, Dan & Yue, Li & Ahmad, Fayyaz & Draz, Muhammad Umar & Chandio, Abbas Ali & Ahmad, Munir & Amin, Waqas, 2022. "Empirical investigation of urban land use efficiency and influencing factors of the Yellow River basin Chinese cities," Land Use Policy, Elsevier, vol. 117(C).

    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:jijerp:v:17:y:2020:i:19:p:7297-:d:424255. 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.