Page 76 - JCAU-7-1
P. 76
Journal of Chinese
Architecture and Urbanism Non-equilibrium territorial space use in PRD
https://doi.org/10.3390/su13095075 https://doi.org/10.3390/su142013284
Huang, X., Chen, Y., Zhao, Y., Shi, M., & Li, T. (2021). Huanghe Sun, C., Zhang, S., Song, C., Xu, J., & Fan, F. (2021). Investigation
Liuyu Guotu Kongjian Kaifa Geju Youhua Yanjiu-Jiyu of dynamic coupling coordination between urbanization
Guotu Kaifa Qiangdu Shijiao. [Optimization on land spatial and the eco-environment-a case study in the Pearl River
development pattern in the Yellow River Basin: From the Delta area. Land, 10(2):190.
perspective of land development intensity]. Geographical https://doi.org/10.3390/land10020190
Research, 40(6):1554-1564. [Article in Chinese]
Tian, J., Wang, B., & Wang, S. (2019). Dongbei sansheng chengshi
https://doi.org/10.11821/dlyj020200546
tudi liyong xiaoyi pingjia ji ouhe xietiao guanxi yanjiu.
Kalabamu, F.T. (2019). Land tenure reforms and persistence of [Urban land use efficiency and its coupling relationship
land conflicts in Sub-Saharan Africa-the case of Botswana. in the three provinces of Northeast China]. Scientia
Land Use Policy, 81:337-345. Geographica Sinica, 39(2):305-315. [Article in Chinese]
https://doi.org/10.1016/j.landusepol.2018.11.002 https://doi.org/10.13249/j.cnki.sgs.2019.02.015
Liu, J., & Tian, Y. (2018). Yuegangao dawanqu beijing xia Tone, K., & Tsutsui, M. (2010). An epsilon-based measure
de zhusanjiao chengshiqun chanye-renkou-kongjian of efficiency in DEA-a third pole of technical efficiency.
jiaohu yingxiang jili. [Mutual influencing mechanism of European Journal of Operational Research, 207(3):1554-1563.
industry-population-space in the Pearl River Delta urban https://doi.org/10.1016/j.ejor.2010.07.014
agglomeration in the context of the Guangdong-Hong
Kong-Macao Greater Bay Area development]. Progress in Wei, J., Gao, W., Li, Q., Pu, Y., & Li, T. (2023) Changjiang jingji
Geography, 37(12):1653-1662. [Article in Chinese] dai guotu kongjian xiaolv chayi yanjin ji qudong jili yanjiu
[Analysis on spatial differences and driving mechanisms of
https://doi.org/10.18306/dlkxjz.2018.12.007
territorial space efficiency in the Yangtze River Economic
Longato, D., Cortinovis, C., Balzan, M., & Geneletti, D. (2023). Belt]. China Land Science. 37(05):101-112.
A method to prioritize and allocate nature-based solutions in https://doi.org/10.11994/zgtdkx.20230511.100017
urban areas based on ecosystem service demand. Landscape
and Urban Planning, 235:104743. Wu, D., Hu, Y., Liu, Y., & Liu, Y. (2020). Chengshi Kaifa Qiangdu
yu Ziyuan Huanjing Chengzaili Xietiao Fenxi-yi Zhusanjiao
https://doi.org/10.1016/j.landurbplan.2023.104743
Weili. [Empirical study on the coupling coordination between
Lu, X., Zhang, Y., Li, J., & Duan, K. (2022). Measuring the development intensity and resources-and-environment
urban land use efficiency of three urban agglomerations in carrying capacity of core cities in Pearl River Delta]. Journal
China under carbon emissions. Environmental Science and of Natural Resources, 35(1):82-94. [Article in Chinese]
Pollution Research, 29(24):36443-36474.
https://doi.org/10.31497/zrzyxb.20200108
https://doi.org/10.1007/s11356-021-18124-8
Yang, Z., Li, S., Sun, D., Li, C., & Wu, J. (2022). Intensive
Ma, J., Li, W., Wang, Z., He, L., & Han, L. (2022). Measuring evaluation and high-quality redevelopment of enterprise
multi-faceted land use efficiency of large-scale urban land use: A case study in China. Land, 11(3), 432.
agglomerations under multi-scale drivers: Evidence from https://doi.org/10.3390/land11030432
China. Land, 11(1):91.
Yao, S., Zhang, P., Yu, C., Li, G., & Wang, C. (2014). Zhonggou
https://doi.org/10.3390/land11010091
Xinxing Chengzhenhua Lilun yu Shijian Wenti. [Issues
Qu, Y., & Long, H. (2018). The economic and environmental in the theory and practice of China’s new urbanization].
effects of land use transitions under rapid urbanization Scientia Geographica Sinica, 34(6):641-647. [Article in
and the implications for land use management. Habitat Chinese]
International, 82:113-121.
Ye, X., Fan, L., & Lei, C. (2023). Intensive-use-oriented
https://doi.org/10.1016/j.habitatint.2018.10.009 performance evaluation and optimization of rural industrial
land: A case study of Wujiang district, China. Sustainability,
Rebolledo-Leiva, R., Angulo-Meza, L., Iriarte, A.,
González-Araya, M. C., & Vásquez-Ibarra, L. (2019). 15(11):8523.
Comparing two CF+ DEA methods for assessing eco- https://doi.org/10.3390/su15118523
efficiency from theoretical and practical points of view. Yun, K. Q., & Dong, J. (2013). Urban agglomerations land
Science of the Total Environment, 659:1266-1282.
use structure optimization based on regional carbon
https://doi.org/10.1016/j.scitotenv.2018.12.296 balance. In: 2013 Second International Conference on Agro-
Geoinformatics (Agro-Geoinformatics), p.243-248.
Shang, Y., Liu, D., & Chen, Y. (2022). Evaluation of urban intensive
land use degree with GEE support: A case study in the Pearl Zhang, L., Zhang, L., Xu, Y., Zhou, P., & Yeh, C. H. (2020).
River Delta Region, China. Sustainability, 14(20):13284. Evaluating urban land use efficiency with interacting
Volume 7 Issue 1 (2025) 12 https://doi.org/10.36922/jcau.3720

