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Journal of Chinese
            Architecture and Urbanism                                         Non-equilibrium territorial space use in PRD



            the rest of the cities remain below 5 m³/sqm. Foshan has   scale and urban economic performance in the Pearl River
            the lowest availability at just 0.966 m³/sqm.      Delta urban agglomeration is presented in Table 9.
              Table 8 presents the results of the land supply capacity   Figures  1‑3 illustrate the territorial space development
            after standardizing the data. The analysis of the standardized   scale,  urban economic benefit,  and coupling coordination
            land supply capacity index shows that Jiangmen, Zhaoqing,   degree in the Pearl River Delta urban agglomeration for
            and Huizhou are in the top tier, with strong land supply   2019. The analysis shows that the overall level of coupling
            capacity, clearly differentiating them from the remaining   coordination in the Pearl River Delta urban agglomeration
            cities. The lowest land supply capacities are observed in   is relatively high, with all cities achieving a coordinated
            Shenzhen and Dongguan. Overall, there is a noticeable   development status. The average coupling degree is 0.683,
            difference in land supply capacity across the cities within   which corresponds to a primary level of coordinated
            the Pearl River Delta urban agglomeration.         development. The disparity between the highest and lowest
                                                               coupling degrees is relatively small, with Guangzhou having
            4.4. Evaluation of the coupling degree between     the highest (0.705) and Zhaoqing the lowest (0.607), a
            territorial space development scale and urban      difference of only 0.098. Specifically, among the nine cities,
            economic benefit                                   five are classified as having medium-level coordinated

            Using the selected coupling coordination degree model,   development, while the remaining four cities are at the
            the relationship between territorial space development   primary coordination level. None of the cities reached
                                                               excellent or good coordination levels. This result suggests that,
            Table 7. Analysis of per capita arable land and water security   while the economic benefits from land development in the
            in the Pearl River Delta urban agglomeration       Pearl River Delta urban agglomeration are generally high, no
                                                               city demonstrates outstanding performance. The differences
            City     Arable land area per   Amount of water resources   in economic benefits among the cities are minimal, indicating
                     capita (m /person)  available per unit of land area
                            3
                                            (m /sqm)           a relatively uniform development across the region.
                                             3
            Guangzhou     51.33              1.006             4.5. Analysis of land development balance
            Shenzhen       2.67              1.134
                                                               Table 10 presents the results of land development in the
            Zhuhai        86.00              1.162             Pearl River Delta urban agglomeration based on the
            Foshan        44.00              0.966             selected land development imbalance index model.
            Jiangmen      336.00             8.936
                                                                 Figure  4 illustrates the land development imbalance
            Zhaoqing      353.33             4.991             index of the Pearl River Delta urban agglomeration in
            Huizhou       284.00             4.654             2019. The land development imbalance index is the ratio of
            Dongguan      15.33              0.971             the scale of land development to the land supply capacity,
            Zhongshan     34.00              1.295             reflecting the degree of imbalance between land use and
                                                               supply. A ratio closer to 1 indicates a more balanced state.
                                                               Values below 1 signify underdevelopment, whereas values
            Table 8. Analysis of land supply capacity of the Pearl River   >1 indicate overdevelopment. Regarding the balance of
            Delta urban agglomeration
                                                               land development, the entire Pearl River Delta urban
            City      Standardization   Standardization   Land supply   agglomeration exhibits significant imbalances. Specifically,
                      of arable land   of water resources   capacity  Shenzhen is  in a state of severe overdevelopment.
                      area per capita  available per unit      Guangzhou, Zhuhai, Foshan, Dongguan, and Zhongshan
                                     of land area              also display overdevelopment, with varying degrees of
            Guangzhou     0.23          0.10        0.159      imbalance. On the other hand, Zhaoqing is underdeveloped,
            Shenzhen      0.10          0.12        0.109      and both Jiangmen and Huizhou are experiencing severe
            Zhuhai        0.31          0.12        0.207      underdevelopment. These findings indicate that the overall
            Foshan        0.21          0.10        0.149      land development balance in the Pearl River Delta urban
            Jiangmen      0.96          1.00        0.978      agglomeration is poor, with extreme polarization between
            Zhaoqing      1.00          0.56        0.761      overdeveloped and underdeveloped cities.
            Huizhou       0.82          0.52        0.660      5. Discussion
            Dongguan      0.13          0.10        0.116      Based on the findings, this section discusses the
            Zhongshan     0.18          0.14        0.158      implications of the results in relation to territorial space



            Volume 7 Issue 1 (2025)                         7                        https://doi.org/10.36922/jcau.3720
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