IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p1771-d494854.html
   My bibliography  Save this article

Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China

Author

Listed:
  • Mengchao Yao

    (Economic School, Northwest Minzu University, Lanzhou 730000, China)

  • Yihua Zhang

    (School of Finance and Economics, Jimei University, Xiamen 361023, China)

Abstract

In the recent 10 years, China’s housing prices and land prices have risen rapidly, resulting in precious land resources, thus restricting the development of the cities. How to effectively measure urban land-use efficiency and how to optimize it has become a stumbling block on the road of sustainable development in China. This article focuses on the vital province in southwest China—Sichuan Province, which is facing the problem of insufficient land-use efficiency and uses the data of 32 cities from 2003 to 2018 to carry out the research. Based on the measurement results of urban land-use efficiency in Sichuan Province and its temporal and spatial evolution characteristics, this paper uses the SDM model to verify that the land-use efficiency can be optimized from the three aspects of innovation, industrial structure, and economic connections. The conclusion shows: (1) There is a weak decoupling relationship between urban land use and economic development in Sichuan Province. The urban land-use efficiency has the characteristics of polarization of more than two ends and less in the middle, but the gap is gradually reduced; (2) Time series level, urban land-use efficiency in various regions is increasing, and potential benchmark technology progress is the main reason for the increase; (3) At the spatial distribution level, urban land-use efficiency has spatial autocorrelation, forming an obvious “center-periphery” distribution pattern; (4) Innovation, economic connection, and industrial structure optimization can promote the improvement of land-use efficiency, and economic connection has a positive spillover effect on the land-use efficiency of surrounding areas. Accordingly, this study puts forward some targeted suggestions on improving urban land-use efficiency in Sichuan Province.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1771-:d:494854
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/1771/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/1771/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    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. Jose Zofio, 2007. "Malmquist productivity index decompositions: a unifying framework," Applied Economics, Taylor & Francis Journals, vol. 39(18), pages 2371-2387.
    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. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    6. 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.
    7. 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.
    8. 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.
    9. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    10. Xiaofeng Zhao & Lin Zhang & Xianjin Huang & Yuntai Zhao & Yunpeng Zhang, 2018. "Evolution of the Spatiotemporal Pattern of Urban Industrial Land Use Efficiency in China," Sustainability, MDPI, vol. 10(7), pages 1-12, June.
    11. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    12. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    13. Erik Louw & Erwin van der Krabben & Hans van Amsterdam, 2012. "The Spatial Productivity of Industrial Land," Regional Studies, Taylor & Francis Journals, vol. 46(1), pages 137-147, August.
    14. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    15. Zhang, Ling & Zhang, Lei & Xu, Yan & Zhou, Peng & Yeh, Chung-Hsing, 2020. "Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China," Land Use Policy, Elsevier, vol. 90(C).
    16. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    17. Chenxi Li & Xing Gao & Bao-Jie He & Jingyao Wu & Kening Wu, 2019. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    18. Fagerberg, Jan & Srholec, Martin & Verspagen, Bart, 2010. "Innovation and Economic Development," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 833-872, Elsevier.
    19. Lu, Xinhai & Chen, Danling & Kuang, Bing & Zhang, Chaozheng & Cheng, Chen, 2020. "Is high-tech zone a policy trap or a growth drive? Insights from the perspective of urban land use efficiency," Land Use Policy, Elsevier, vol. 95(C).
    20. Marco Zitti & Carlotta Ferrara & Luigi Perini & Margherita Carlucci & Luca Salvati, 2015. "Long-Term Urban Growth and Land Use Efficiency in Southern Europe: Implications for Sustainable Land Management," Sustainability, MDPI, vol. 7(3), pages 1-27, March.
    21. Matthews, K.B. & Buchan, K. & Sibbald, A.R. & Craw, S., 2006. "Combining deliberative and computer-based methods for multi-objective land-use planning," Agricultural Systems, Elsevier, vol. 87(1), pages 18-37, January.
    22. 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).
    23. Lian, Hongping & Li, Hui & Ko, Kilkon, 2019. "Market-led transactions and illegal land use: Evidence from China," Land Use Policy, Elsevier, vol. 84(C), pages 12-20.
    24. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    25. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    26. 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).
    27. 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.
    28. Charnes, Abraham & Cooper, William W. & Li, Shanling, 1989. "Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities," Socio-Economic Planning Sciences, Elsevier, vol. 23(6), pages 325-344.
    29. Xuanming Ji & Kun Wang & Tao Ji & Yihua Zhang & Kun Wang, 2020. "Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City," Land, MDPI, vol. 9(5), pages 1-20, May.
    30. 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. 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.
    2. 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.
    3. Hailing Zhou & Yan Liu & Miao He, 2022. "The Spatial Interaction Effect of Green Spaces on Urban Economic Growth: Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    4. Pingping Dai & Yuanyuan Lin, 2021. "Should There Be Industrial Agglomeration in Sustainable Cities?: A Perspective Based on Haze Pollution," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    5. Fanchao Kong & Kaixiao Zhang & Hengshu Fu & Lina Cui & Yang Li & Tengteng Wang, 2023. "Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    6. 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.
    7. Bin Duan & Xuanming Ji, 2021. "Can Carbon Finance Optimize Land Use Efficiency? The Example of China’s Carbon Emissions Trading Policy," Land, MDPI, vol. 10(9), pages 1-18, September.
    8. Malin Song & Weiliang Tao, 2022. "Coupling and coordination analysis of China's regional urban‐rural integration and land‐use efficiency," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1384-1413, September.
    9. 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.
    10. Peichao Dai & Ruxu Sheng & Zhongzhen Miao & Zanxu Chen & Yuan Zhou, 2021. "Analysis of Spatial–Temporal Characteristics of Industrial Land Supply Scale in Relation to Industrial Structure in China," Land, MDPI, vol. 10(11), pages 1-18, November.
    11. Yingkai Tang & Kun Wang & Xuanming Ji & He Xu & Yangqing Xiao, 2021. "Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations," Land, MDPI, vol. 10(7), pages 1-19, July.
    12. Jingbo Liu & Haoyuan Feng & Kun Wang, 2022. "The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(5), pages 1-18, 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. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Di Zhu & Yinghong Wang & Shangui Peng & Fenglin Zhang, 2022. "Influence Mechanism of Polycentric Spatial Structure on Urban Land Use Efficiency: A Moderated Mediation Model," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    9. Xufeng Cui & Sheng Yang & Guanghong Zhang & Bin Liang & Fei Li, 2020. "An Exploration of a Synthetic Construction Land Use Quality Evaluation Based on Economic-Social-Ecological Coupling Perspective: A Case Study in Major Chinese Cities," IJERPH, MDPI, vol. 17(10), pages 1-16, May.
    10. Bin Duan & Xuanming Ji, 2021. "Can Carbon Finance Optimize Land Use Efficiency? The Example of China’s Carbon Emissions Trading Policy," Land, MDPI, vol. 10(9), pages 1-18, September.
    11. 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.
    12. 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.
    13. Yingkai Tang & Kun Wang & Xuanming Ji & He Xu & Yangqing Xiao, 2021. "Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations," Land, MDPI, vol. 10(7), pages 1-19, July.
    14. 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.
    15. Wenfang Pu & Anlu Zhang & Lanjiao Wen, 2021. "Can China’s Resource-Saving and Environmentally Friendly Society Really Improve the Efficiency of Industrial Land Use?," Land, MDPI, vol. 10(7), pages 1-19, July.
    16. Pu, Wenfang & Zhang, Anlu & Wen, Lanjiao, 2021. "Can China’s resource-saving and environmentally friendly society really improve the efficiency of industrial land use?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(7).
    17. 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.
    18. Ying Chen & Suran Li & Long Cheng, 2020. "Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China," Land, MDPI, vol. 9(11), pages 1-15, November.
    19. Koroso, Nesru H., 2023. "Urban land policy and urban land use efficiency: An analysis based on remote sensing and institutional credibility thesis," Land Use Policy, Elsevier, vol. 132(C).
    20. 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.

    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:13:y:2021:i:4:p:1771-:d:494854. 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.