Journal of Geographical Sciences >
How does the coupling coordination relationship between high-quality urbanization and land use evolve in China? New evidence based on exploratory spatiotemporal analyses
Xu Feng (1988−), Professor, specialized in spatial analysis and prediction for land use. E-mail: whcugxf@cug.edu.cn |
Received date: 2023-05-22
Accepted date: 2024-02-07
Online published: 2024-05-31
Supported by
National Natural Science Foundation of China(42371286)
National Natural Science Foundation of China(42001206)
National Social Science Foundation of China(22CJY041)
The Key Laboratory for Law and Governance of the Ministry of Natural Resources(CUGFP-1904)
School of Public Administration at China University of Geosciences(CUGGG-2002)
Urbanization interacts with land use through resource consumption and space encroachment. Clarifying the spatial correlations of the interactive relationship between urbanization and land use, along with their spatiotemporal dynamics, is of vital importance for addressing the complex interplay between urban development and land resources and identifying regional differences. However, previous studies have not sufficiently explored these issues. Herein, we introduce a coupling coordination degree (CCD) model and present the results of exploratory spatiotemporal analyses involving in-depth investigation of the CCD between urbanization quality and land-use intensity in 290 Chinese cities. The results demonstrate that the CCD for most cities was at the transition-period or basic-coordination stage. The dynamics of the spatial correlation of the CCD was found to increase from the east to the central and western regions, but this was found to decline overall. The movement direction and spatial dependence of the local spatial structure of the CCD exerted a dominant synergistic effect. The transition of the spatial correlation was mainly Type I (stable local and neighboring morphology), showing strong transfer inertia, path dependence, and locking features. Dynamic transitions occurred more in central and eastern cities. The results suggest that more cross-city cooperation could contribute to moderate land-resource exploitation for high-quality urbanization.
XU Feng , WANG Huan , ZUO Danyu , GONG Ziqiang . How does the coupling coordination relationship between high-quality urbanization and land use evolve in China? New evidence based on exploratory spatiotemporal analyses[J]. Journal of Geographical Sciences, 2024 , 34(5) : 871 -890 . DOI: 10.1007/s11442-024-2231-1
Table 1 Comprehensive evaluation framework for urbanization quality |
Target layer | Indicator layer | Illustration | Unit |
---|---|---|---|
Economic level | Economic production | GDP/total population | CNY |
Enterprise profit | Total profits of enterprise/GDP | - | |
Employees’ salaries | Actual total salaries paid to all employee/average number of employees | CNY | |
Employment rate | Urban registered unemployment rates | % | |
Import and export of goods | Total import and export of goods/GDP | - | |
Foreign investment | Total amount of foreign investment used/GDP | - | |
Development potential | Industrial structure | Added value of tertiary industry/GDP | % |
Urbanization rate | Urban population/total population | % | |
Financial situation of industrial enterprises | Current assets of industrial enterprises/(current assets + fixed assets) of industrial enterprises | % | |
Science and technology expenditure | Science and technology expenditure/Public budget expenditure | % | |
Natural growth rate of population | (Number of births − number of deaths)/average annual population | ‰ | |
Deposit-to-loan ratio of financial institutions | Total deposit balances of financial institutions/total loan balances of financial institutions | - | |
Public services | Internet popularity | Internet users × 100/population | household |
Medical level | Number of beds in hospitals and health centers × 10 000/population | sheet | |
Public library collections | Public library collections × 100/population | piece | |
Road area | Road coverage/total population | m2 | |
Student-teacher ratio in primary and secondary schools | (Number of students/number of full-time teachers) in primary and secondary schools | % | |
Urban pension insurance participants | Number of urban employees participating in pension insurance/total population | % | |
Ecological environment | Green space coverage | Green space coverage/built-up areas | % |
Industrial sulfur dioxide emissions | Industrial sulfur dioxide emissions/GDP | ton/million | |
Harmless treatment of garbage | Harmless treatment of domestic garbage/amount of domestic waste | % | |
Sewage centralized treatment | Sewage treated in wastewater treatment plants/total amount of sewage | % | |
PM2.5 concentration | - | µg/m3 |
Table 2 Classifications and weightings of land-use types |
Classification | Land-use type/weighting |
---|---|
Built-up land | Urban land, rural settlements, land reclamation for new construction, and other built-up land/4 |
Agricultural production land | Paddy field, dry land/3 |
Forest, grass, water, and other types of natural land | Forest land, shrub land, sparse forest land, and other forest land; high-/medium-/low- coverage grassland; rivers, lakes, permanent glaciers, reservoirs, snow, beaches/2 |
Unused land | Sand, gobi, salina, swampland, bare soil, bare rock, and others/1 |
Table 3 Classification of coupling degree and CCD |
C value interval | Coupling type | D value interval | Coupling coordination type |
---|---|---|---|
0.0 < C ≤ 0.3 | Low-level coupling | 0.0 < D ≤ 0.3 | Dysregulation decline |
0.3 < C ≤ 0.5 | Antagonistic stage | 0.3 < D ≤ 0.5 | Transition period |
0.5 < C ≤ 0.8 | Run-in stage | 0.5 < D ≤ 0.7 | Basic coordination |
0.8 < C ≤ 1.0 | High-level coupling | 0.7 < D ≤ 1.0 | High coordination |
Table 4 Classifications and corresponding illustrations of LISA moving directions |
θi | Direction | Illustrations |
---|---|---|
0°-90° | Same direction | High-high (HH) dynamic, showing a positive synergistic effect among the study object and its neighbors. |
90°-180° | Reverse | Low-high (LH) dynamic, showing a reverse growth trend among the study object (lower) and its neighbors (higher). |
180°-270° | Same direction | Low-low (LL) dynamic, showing a negative synergistic effect among the study object and its neighbors. |
270°-360° | Reverse | High-low (HL) dynamic, showing a reverse growth trend among the study object (higher) and its neighbors (lower). |
Table 5 Classifications and illustrations of spatiotemporal transition of LISA |
Type | Classification | Transition illustrations |
---|---|---|
I | HHt→HHt+1, HLt→HLt+1, LHt→LHt+1, LLt→LLt+1 | Local and neighboring morphology is stable. |
II | HHt→LHt+1, HLt→LLt+1, LHt→HHt+1, LLt→HLt+1 | Only local morphology is in transition. |
III | HHt→HLt+1, HLt→HHt+1, LHt→LLt+1, LLt→LHt+1 | Only neighboring morphology is in transition. |
IV(1) | HHt→LLt+1, LLt→HHt+1 | Local and neighboring transition in the same direction. |
IV(2) | HLt→LHt+1, LHt→HLt+1 | Local and neighboring transition in opposite directions. |
Figure 1 Scope of the study area in China |
Figure 2 High-quality urbanization degrees of cities of China in 2005, 2010, 2015, and 2018 |
Figure 3 Spatial patterns of urban CCD in China in 2005, 2010, 2015, and 2018 |
Table 6 Moran’s I index of the CCD between urbanization quality and land-use intensity |
Year | Moran’s I | Z | P | E(I) | SD |
---|---|---|---|---|---|
2005 | 0.5746 | 14.7107 | 0.0010 | −0.0035 | 0.0393 |
2010 | 0.5917 | 15.0086 | 0.0010 | −0.0035 | 0.0394 |
2015 | 0.6104 | 15.9127 | 0.0010 | −0.0035 | 0.0385 |
2018 | 0.5612 | 14.8387 | 0.0010 | −0.0035 | 0.0380 |
Figure 4 Relative length index (Rli) and curvature (Di) of the LISA time path in China |
Figure 5 Movement directions of the LISA time path in China |
Figure 6 Spatiotemporal transitions of LISA in China |
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[3] |
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[4] |
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[5] |
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[6] |
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[7] |
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[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
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[24] |
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[25] |
|
[26] |
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[27] |
|
[28] |
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
[37] |
|
[38] |
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[39] |
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[40] |
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[41] |
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[42] |
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[43] |
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[44] |
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[45] |
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[46] |
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[47] |
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[48] |
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[49] |
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[50] |
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[51] |
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[52] |
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