IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v137y2018icp19-26.html
   My bibliography  Save this article

Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region

Author

Listed:
  • Zhao, Zhe
  • Bai, Yuping
  • Wang, Guofeng
  • Chen, Jiancheng
  • Yu, Jiangli
  • Liu, Wei

Abstract

The intensification of urbanization has had a significant impact on land-use change, ecosystem services, and the urban environment in China. In this paper, we measured land eco-efficiency from an economic and ecological perspective using a Super Efficiency DEA model and Malmquist Index. Our study included 13 prefecture-level cities in the Beijing-Tianjin-Hebei region and covered the period from 2005 to 2013. We then built an indicator system to evaluate new-type urbanization and quantify the impacts of new-type urbanization on land eco-efficiency based on an extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) Model. Our results reveal an average annual growth rate of 14.3% for land eco-efficiency. There were distinct differences among cities that are closely related in terms of their development stage of new-type urbanization. The relationship between land eco-efficiency and new-type urbanization produced an N-shaped curve. This suggests that, when the development of new-type urbanization is taken into consideration, the land eco-efficiency trend followed a pattern of up-down-up. Enhancing technology, as well as modifying policies for environment management, will also help improve intensive land use and land eco-efficiency. Our paper provides a significant contribution to strengthening land-use management and advancing sustainable urban development in China.

Suggested Citation

  • Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    • Handle: RePEc:eee:tefoso:v:137:y:2018:i:c:p:19-26
    DOI: 10.1016/j.techfore.2018.09.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162518310813
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2018.09.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Deng, Xiangzheng & Huang, Jikun & Rozelle, Scott & Uchida, Emi, 2008. "Growth, population and industrialization, and urban land expansion of China," Journal of Urban Economics, Elsevier, vol. 63(1), pages 96-115, January.
    2. Yu, Yanni & Wu, Wenjie & Zhang, Tao & Liu, Yanchu, 2016. "Environmental catching-up, eco-innovation, and technological leadership in China's pilot ecological civilization zones," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 228-236.
    3. 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.
    4. Malin Song & Shuhong Wang & Kaiya Wu, 2018. "Environment-biased technological progress and industrial land-use efficiency in China’s new normal," Annals of Operations Research, Springer, vol. 268(1), pages 425-440, September.
    5. Mohsen Afsharian & Heinz Ahn, 2015. "The overall Malmquist index: a new approach for measuring productivity changes over time," Annals of Operations Research, Springer, vol. 226(1), pages 1-27, March.
    6. Li, Yi & Li, Yangfan & Qureshi, Salman & Kappas, Martin & Hubacek, Klaus, 2015. "On the relationship between landscape ecological patterns and water quality across gradient zones of rapid urbanization in coastal China," Ecological Modelling, Elsevier, vol. 318(C), pages 100-108.
    7. Song, Wei & Deng, Xiangzheng & Yuan, Yongwei & Wang, Zhan & Li, Zhaohua, 2015. "Impacts of land-use change on valued ecosystem service in rapidly urbanized North China Plain," Ecological Modelling, Elsevier, vol. 318(C), pages 245-253.
    8. Stefana Broadbent & Francesco Cara, 2018. "Seeking Control in a Precarious Environment: Sustainable Practices as an Adaptive Strategy to Living under Uncertainty," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
    9. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    10. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
    Full references (including those not matched with items on IDEAS)

    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. Jinyan Zhan & Fan Zhang & Siqi Jia & Xi Chu & Yifan Li, 2018. "Spatial Pattern of Regional Urbanization Efficiency: An Empirical Study of Shanghai," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1277-1291, December.
    2. Barnabé Walheer, 2022. "Global Malmquist and cost Malmquist indexes for group comparison," Journal of Productivity Analysis, Springer, vol. 58(1), pages 75-93, August.
    3. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    4. Xiaobing Yu & Hong Chen & Chenliang Li, 2019. "Evaluate Typhoon Disasters in 21st Century Maritime Silk Road by Super-Efficiency DEA," IJERPH, MDPI, vol. 16(9), pages 1-10, May.
    5. Zijiang Yang & Xiaogang Wang & Dongming Sun, 2010. "Using the bootstrap method to detect influential DMUs in data envelopment analysis," Annals of Operations Research, Springer, vol. 173(1), pages 89-103, January.
    6. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    7. Camanho, Ana S. & Stumbriene, Dovile & Barbosa, Flávia & Jakaitiene, Audrone, 2023. "The assessment of performance trends and convergence in education and training systems of European countries," European Journal of Operational Research, Elsevier, vol. 305(1), pages 356-372.
    8. Houyem Zrelli & Abdullah H. Alsharif & Iskander Tlili, 2020. "Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    9. Ke Huang & Martin Dallimer & Lindsay C. Stringer & Anlu Zhang & Ting Zhang, 2021. "Does Economic Agglomeration Lead to Efficient Rural to Urban Land Conversion? An Examination of China’s Metropolitan Area Development Strategy," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    10. Cheng, Gang & Zervopoulos, Panagiotis, 2012. "A proxy approach to dealing with the infeasibility problem in super-efficiency data envelopment analysis," MPRA Paper 42064, University Library of Munich, Germany.
    11. Cheng, Gang & Qian, Zhenhua & Zervopoulos, Panagiotis, 2011. "Overcoming the infeasibility of super-efficiency DEA model: a model with generalized orientation," MPRA Paper 31991, University Library of Munich, Germany.
    12. Chen, Junlin & Zhang, Ying & Wang, Wenqing & Yang, Can & Li, Jiayue & Wu, Yulun, 2022. "The efficiency of consumption poverty alleviation and improvement measures in Guizhou, China," Energy, Elsevier, vol. 248(C).
    13. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    14. de Sousa, Maria da Conceição Sampaio & Cribari-Neto, Francisco & Stosic, Borko D., 2005. "Explaining DEA Technical Efficiency Scores in an Outlier Corrected Environment: The Case of Public Services in Brazilian Municipalities," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    15. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    16. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    17. Aparicio, Juan & Crespo-Cebada, Eva & Pedraja-Chaparro, Francisco & Santín, Daniel, 2017. "Comparing school ownership performance using a pseudo-panel database: A Malmquist-type index approach," European Journal of Operational Research, Elsevier, vol. 256(2), pages 533-542.
    18. An, Qingxian & Tao, Xiangyang & Chen, Xiaohong, 2023. "Nested frontier-based best practice regulation under asymmetric information in a principal–agent framework," European Journal of Operational Research, Elsevier, vol. 306(1), pages 269-285.
    19. Ya Chen & Yongjun Li & Liang Liang & Huaqing Wu, 2019. "An extension on super slacks-based measure DEA approach," Annals of Operations Research, Springer, vol. 278(1), pages 101-121, July.
    20. Zribi, Wissal & Boufateh, Talel & Lahouel, Bechir Ben & Urom, Christian, 2024. "Uncertainty shocks, investor sentiment and environmental performance: Novel evidence from a PVAR approach," International Review of Financial Analysis, Elsevier, vol. 93(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:eee:tefoso:v:137:y:2018:i:c:p:19-26. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.