Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China
Abstract
:1. Introduction
1.1. Background
1.2. Literature Review
1.3. Aim and Question
2. Research Design
2.1. Study Area: Guangxi
2.2. Research Methods
2.3. Index Selection
2.4. Research Steps
3. Results
3.1. Differentiation Analysis
3.2. Factor Analysis
3.3. Interaction Analysis
4. Discussion
4.1. Driving Mechanism
4.2. Policy Implications: Precision and Differentiation
5. Conclusions
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Graphical Representation | Description | Interaction |
---|---|---|
| q( ∩ ) < Min(q(), q()) | Weaken, nonlinear |
| Min(q(), q()) < q( ∩ ) < Max(q()), q()) | Weaken, uni- |
| q( ∩ ) > Max(q(), q()) | Enhance, bi- |
| q( ∩ ) = q() + q() | Independent |
| q( ∩ ) > q() + q() | Enhance, nonlinear |
Variable | Index | Code | Driving Force | Data Sources |
---|---|---|---|---|
Urban construction land area in 2019 | —— | Guangxi Construction Yearbook | ||
Urban construction land area in 2015 | ||||
Resident population in county area | Population driving force | |||
Resident population in county town | ||||
Gross domestic product (GDP) | Economic driving force | Guangxi Statistical Yearbook and County Statistical Bulletin | ||
Government revenue | ||||
Total retail sales of consumer soods | ||||
Public finance expenditure | Investment driving force | |||
Fixed asset investment in urban municipal public facilities | Guangxi Construction Yearbook | |||
Road length | ||||
Road area | ||||
Primary industry | Industrial structure driving force | Guangxi Statistical Yearbook and County Statistical Bulletin | ||
Secondary industry | ||||
Tertiary industry | ||||
Number of standard-sized enterprises | ||||
Per-Capita disposable income of urban residents | Social driving force | |||
Per-Capita disposable income of rural residents | ||||
Urbanization rate | ||||
Accessibility | Guangxi Traffic Map |
Index | 2015 | 2019 | Change |
---|---|---|---|
Max | 29.93 | 37.38 | 16.48 |
Min | 1.08 | 1.42 | −2.45 |
Max–Min | 28.85 | 35.96 | 18.93 |
Max/Min | 27.71 | 26.32 | -- |
Average | 9.76 | 11.74 | 1.98 |
Standard Deviation | 6.77 | 8.44 | 2.58 |
Coefficient of Variation (CV) | 0.69 | 0.74 | 1.30 |
2015 | 2019 | |||
---|---|---|---|---|
Interaction Detector | Enhancement Effect | Interaction Detector | Enhancement Effect | |
Max | 0.99 | 0.39 | 0.98 | 0.64 |
Min | 0.09 | 0.01 | 0.09 | 0.01 |
Median | 0.87 | 0.12 | 0.89 | 0.12 |
Mode | 0.94 | 0.12 | 0.93 | 0.10 |
Max–Min | 0.90 | 0.38 | 0.89 | 0.63 |
Max/Min | 10.96 | 39.11 | 10.91 | 64.33 |
Average | 0.84 | 0.13 | 0.85 | 0.17 |
Gini Coefficient | 0.54 | 0.68 | 0.54 | 0.71 |
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Ouyang, D.; Zhu, X.; Liu, X.; He, R.; Wan, Q. Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China. Land 2021, 10, 691. https://doi.org/10.3390/land10070691
Ouyang D, Zhu X, Liu X, He R, Wan Q. Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China. Land. 2021; 10(7):691. https://doi.org/10.3390/land10070691
Chicago/Turabian StyleOuyang, Dong, Xigang Zhu, Xingguang Liu, Renfei He, and Qian Wan. 2021. "Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China" Land 10, no. 7: 691. https://doi.org/10.3390/land10070691