The National Development and Reform Commission’s 14th 5-year Plan for New Urbanization aims to enhance the integrated development of urban agglomerations and promote coordinated growth among large, medium, and small cities to improve the comprehensive development capacity of urban agglomerations. This study examines the systemic coupling and coordination of land use benefits and the concept of balanced territorial space utilization. A comprehensive evaluation index system is constructed, employing the coupling coordination degree model and the land development imbalance index model to assess both the comprehensive benefits of land use and the balance of land development in the nine cities of the Pearl River Delta urban agglomeration in 2019. The findings are as follows: (i) Shenzhen has the largest territorial space development scale, with minor differences indicating balanced development; (ii) the territorial space development scale and urban economic benefits in the Pearl River Delta urban agglomeration are generally in a coordinated development stage. While Guangzhou and Shenzhen exhibit lagging input, the other cities demonstrate lagging output; and (iii) there is an extreme imbalance in territorial space development. Based on these findings, the study recommends the following: (i) maintain coordinated development between territorial space development scale and urban economic benefits by adjusting inputs and outputs across different cities to control land development intensity and enhance the economic output of land; and (ii) for cities facing overdevelopment, prioritize improving urban land supply capacity, control the expansion of construction land, and explore the redevelopment of existing land; for cities facing underdevelopment, provide preferential access to construction land quotas to support efficient land development.
Funding
This research was funded by the “Chunhui Plan” Cooperative Scientific Research Project from the Ministry of Education of China (HZKY20220044) and the Fundamental Research Funds for the Central Universities (2021RCW122).
Conflict of interest
The authors declare they have no competing interests.
| [1] |
Bryan B. A., Gao L., Ye Y., Sun X., Connor J. D., Crossman N. D., et al. (2018). Chinaun, X., Connor, J. D., Crossman, N. D., ssman, N. D., tal urbNature, 559(7713):193-204. https://doi.org/10.1038/s41586-018-0280-2
|
| [2] |
Chen M., Wang Q., Bai Z., Shi Z., Meng P., & Hao M. (2022). Green land use efficiency and influencing factors of resource-based cities in the Yellow River Basin under carbon emission constraints. Buildings, 12(5), 551. https://doi.org/10.3390/buildings12050551
|
| [3] |
Chen M., Wang Q., Bai Z., Shi Z., Yu X., & Zhang B. (2024). Jiyu shuangtan mubiao de huanghe liuyu ziyuanxing chengshi guotu kongjian liyong xiaolv shikong tezheng ji yingxiang yinsu. [Spatial-temporal characteristics and influencing factors of territorial space use efficiency of resource-based cities in the yellow river basin based on the dual carbon targets]. China Land Science, 38(4):101-112. [Article in Chinese]
|
| [4] |
Chen R., & Wang F. (2021). Ditan shengtai chengshi shijiaoxia zhusanjiao tudi liyong xiaoyi pingjia ji zhangai zhenduan. [Land use benefit evaluation and barrier diagnosis of pearl river delta from the perspective of low-carbon ecological city]. Research of Soil and Water Conservation, 28(2):351-359. [Article in Chinese]
|
| [5] |
Chen Y., Huang X., Chen Z., Ma Q., & Zhang L. (2012). Zhongguo geshengyu jianshe yongdi kaifa kongjian junhengdu yanjiu. [The spatial balance degree evaluation of construction land in China]. Scientia Geographica Sinica, 32(12):1424-1429. [Article in Chinese] https://doi.org/10.13249/j.cnki.sgs.2012.012.1424
|
| [6] |
Deilmann C., Lehmann I., Reißmann D., & Hennersdorf J. (2016). Data envelopment analysis of cities-Investigation of the ecological and economic efficiency of cities using a benchmarking concept from production management. Ecological Indicators, 67:798-806. https://doi.org/10.1016/j.ecolind.2016.03.039
|
| [7] |
Hernández R. C., & Camerin F. (2023). Assessment of ecological capacity for urban planning and improving resilience in the European framework: An approach based on the Spanish case. Cuadernos de investigación geográfica: Geographical Research Letters, 49(2):119-142. https://doi.org/10.18172/cig.5638
|
| [8] |
Hu P., Li F., Sun X., Liu Y., Chen X., & Hu D. (2021). Assessment of land-use/cover changes and its ecological effect in rapidly urbanized areas-Taking pearl river delta urban agglomeration as a case. Sustainability, 13(9):5075. https://doi.org/10.3390/su13095075
|
| [9] |
Huang X., Chen Y., Zhao Y., Shi M., & Li T. (2021). Huanghe Liuyu Guotu Kongjian Kaifa Geju Youhua Yanjiu-Jiyu Guotu Kaifa Qiangdu Shijiao. [Optimization on land spatial development pattern in the Yellow River Basin: From the perspective of land development intensity]. Geographical Research, 40(6):1554-1564. [Article in Chinese] https://doi.org/10.11821/dlyj020200546
|
| [10] |
Kalabamu F.T. (2019). Land tenure reforms and persistence of land conflicts in Sub-Saharan Africa-the case of Botswana. Land Use Policy, 81:337-345. https://doi.org/10.1016/j.landusepol.2018.11.002
|
| [11] |
Liu J., & Tian Y. (2018). Yuegangao dawanqu beijing xia de zhusanjiao chengshiqun chanye-renkou-kongjian jiaohu yingxiang jili. [Mutual influencing mechanism of industry-population-space in the Pearl River Delta urban agglomeration in the context of the Guangdong-Hong Kong-Macao Greater Bay Area development]. Progress in Geography, 37(12):1653-1662. [Article in Chinese] https://doi.org/10.18306/dlkxjz.2018.12.007
|
| [12] |
Longato D., Cortinovis C., Balzan M., & Geneletti D. (2023). A method to prioritize and allocate nature-based solutions in urban areas based on ecosystem service demand. Landscape and Urban Planning, 235:104743. https://doi.org/10.1016/j.landurbplan.2023.104743
|
| [13] |
Lu X., Zhang Y., Li J., & Duan K. (2022). Measuring the urban land use efficiency of three urban agglomerations in China under carbon emissions. Environmental Science and Pollution Research, 29(24):36443-36474. https://doi.org/10.1007/s11356-021-18124-8
|
| [14] |
Ma J., Li W., Wang Z., He L., & Han L. (2022). Measuring multi-faceted land use efficiency of large-scale urban agglomerations under multi-scale drivers: Evidence from China. Land, 11(1):91. https://doi.org/10.3390/land11010091
|
| [15] |
Qu Y., & Long H. (2018). The economic and environmental effects of land use transitions under rapid urbanization and the implications for land use management. Habitat International, 82:113-121. https://doi.org/10.1016/j.habitatint.2018.10.009
|
| [16] |
Rebolledo-Leiva R., Angulo-Meza L., Iriarte A., González-Araya M. C., & Vásquez-Ibarra L. (2019). Comparing two CF+ DEA methods for assessing eco-efficiency from theoretical and practical points of view. Science of the Total Environment, 659:1266-1282. https://doi.org/10.1016/j.scitotenv.2018.12.296
|
| [17] |
Shang Y., Liu D., & Chen Y. (2022). Evaluation of urban intensive land use degree with GEE support: A case study in the Pearl River Delta Region, China. Sustainability, 14(20):13284. https://doi.org/10.3390/su142013284
|
| [18] |
Sun C., Zhang S., Song C., Xu J., & Fan F. (2021). Investigation of dynamic coupling coordination between urbanization and the eco-environment-a case study in the Pearl River Delta area. Land, 10(2):190. https://doi.org/10.3390/land10020190
|
| [19] |
Tian J., Wang B., & Wang S. (2019). Dongbei sansheng chengshi tudi liyong xiaoyi pingjia ji ouhe xietiao guanxi yanjiu. [Urban land use efficiency and its coupling relationship in the three provinces of Northeast China]. Scientia Geographica Sinica, 39(2):305-315. [Article in Chinese] https://doi.org/10.13249/j.cnki.sgs.2019.02.015
|
| [20] |
Tone K., & Tsutsui M. (2010). An epsilon-based measure of efficiency in DEA-a third pole of technical efficiency. European Journal of Operational Research, 207(3):1554-1563. https://doi.org/10.1016/j.ejor.2010.07.014
|
| [21] |
Wei J., Gao W., Li Q., Pu Y., & Li T. (2023) Changjiang jingji dai guotu kongjian xiaolv chayi yanjin ji qudong jili yanjiu [Analysis on spatial differences and driving mechanisms of territorial space efficiency in the Yangtze River Economic Belt]. China Land Science. 37(05):101-112. https://doi.org/10.11994/zgtdkx.20230511.100017
|
| [22] |
Wu D., Hu Y., Liu Y., & Liu Y. (2020). Chengshi Kaifa Qiangdu yu Ziyuan Huanjing Chengzaili Xietiao Fenxi-yi Zhusanjiao Weili. [Empirical study on the coupling coordination between development intensity and resources-and-environment carrying capacity of core cities in Pearl River Delta]. Journal of Natural Resources, 35(1):82-94. [Article in Chinese] https://doi.org/10.31497/zrzyxb.20200108
|
| [23] |
Yang Z., Li S., Sun D., Li C., & Wu J. (2022). Intensive evaluation and high-quality redevelopment of enterprise land use: A case study in China. Land, 11(3), 432. https://doi.org/10.3390/land11030432
|
| [24] |
Yao S., Zhang P., Yu C., Li G., & Wang C. (2014). Zhonggou Xinxing Chengzhenhua Lilun yu Shijian Wenti. [Issues in the theory and practice of China’s new urbanization]. Scientia Geographica Sinica, 34(6):641-647. [Article in Chinese]
|
| [25] |
Ye X., Fan L., & Lei C. (2023). Intensive-use-oriented performance evaluation and optimization of rural industrial land: A case study of Wujiang district, China. Sustainability, 15(11):8523. https://doi.org/10.3390/su15118523
|
| [26] |
Yun K. Q., & Dong J. (2013). Urban agglomerations land use structure optimization based on regional carbon balance. In: 2013 Second International Conference on Agro- Geoinformatics (Agro-Geoinformatics), p. 243-248.
|
| [27] |
Zhang L., Zhang L., Xu Y., Zhou P., & Yeh C. H. (2020). Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China. Land Use Policy, 90:104292. https://doi.org/10.1016/j.landusepol.2019.104292
|
| [28] |
Zhao D., & Hu Y. (2016). Tudi jiyue liyong yu chengshihuaxianghu zuoyong de dingliang yanjiu-yi zhongguo sanda chengshiqun weili. [Quantitative study of the interaction between intensive land use and urbanization in three urban agglomerations of China]. Geographical Research, 35(11):2105-2115. [Article in Chinese]
|