Spatial–Temporal Characteristics and Driving Mechanisms of Land–Use Transition from the Perspective of Urban–Rural Transformation Development: A Case Study of the Yangtze River Delta
Abstract
:1. Introduction
2. Theoretical Analysis of Driving Mechanism
3. Materials and Methods
3.1. Study Area
3.2. Methods
3.2.1. Geo–Information Tupu Method
3.2.2. Driving Force Indicators Selection
3.2.3. Spatial Regression Analysis Methods
3.3. Data Sources
4. Results
4.1. Overall Land–Use Transition in the Yangtze River Delta
4.2. Spatial–Temporal Characteristics Analysis of Urban–Rural Land–Use Transition in the Yangtze River Delta
4.2.1. Temporal Analysis of Urban–Rural Land–Use Transition in the Yangtze River Delta
4.2.2. Spatial Analysis of Urban–Rural Land–Use Transition in the Yangtze River Delta
4.3. Driving Mechanism Analysis of Urban–Rural Land–Use Transition in the Yangtze River Delta
- X3, X4, X5, X8, and X9 are the main driving factors of the transition from cultivated land to urban construction land. The coefficient of the secondary industry (X3) is 0.16 with a statistical significance of 1%. The coefficient of the tertiary industry (X4) is 0.046 with a statistical significance of 1%. The coefficient of the change in total population at the end of the year (X5) is −0.38 with a statistical significance of 10%. The impacts of policy driving force and population driving factors are not so apparent.
- X1, X2, X5, X6, and X13 are the main driving factors of the transition from rural residential land to cultivated land. The number of policies (X1), change in the output value of the primary industry (X2), change in the total population at the end of the year (X5), and the urbanization rate (X6) have a positive impact. Their coefficients, respectively, are 5.21, 1.71, 1.53, and 17.54, all with a statistical significance of 1%.
- X2, X3, X4, X7, X9, and X10 have a significant impact on the transition from rural residential land to urban construction land. The impact of the primary industry (X2) on the transition to urban construction land is negative. The coefficient is −0.37 with a statistical significance of 1%. While the secondary industry (X3) and the tertiary industry (X4) have a positive impact on this type of transition, the coefficients of the two indicators are 0.063 and 0.044, respectively.
- X1, X2, X6, X8, and X9 are the main driving factors of the total area of urban–rural land–use transition. The specific influencing degree and direction of each driving factor is similar to the above. It also indirectly demonstrates the robustness of the above results.
Driving Factors | Transition Area from Cultivated Land to Urban Construction Land (y1) | Transition Area from Rural Residential Land to Cultivated Land (y2) | Transition Area from Rural Residential Land to Urban Construction Land (y3) | Total Area of Urban–Rural Land–Use Transition (y4) | ||||
---|---|---|---|---|---|---|---|---|
SLM | SEM | SLM | SEM | SLM | SEM | SLM | SEM | |
X1 | −1.00 | −1.03 | 5.70 *** | 5.21 *** | −0.35 | −0.57 | 7.96 * | 8.02 * |
X2 | 0.052 | 0.026 | 1.83 *** | 1.71 *** | −0.47 *** | −0.37 *** | 3.67 ** | 3.95 *** |
X3 | 0.15 *** | 0.16 *** | −0.034 | −0.039 | 0.056 *** | 0.063 *** | 0.28 | 0.25 |
X4 | 0.048 *** | 0.046 *** | −0.040 | −0.029 | 0.04 *** | 0.044 *** | 0.003 | 0.019 |
X5 | −0.36 * | −0.38 * | 1.56 *** | 1.53 *** | −0.27 *** | −0.19 | 1.94 | 1.61 |
X6 | 1.66 | 1.98 | 18.11 *** | 17.54 *** | 0.62 | 1.41 | 37.57 *** | 33.90 *** |
X7 | 0.21 | 0.21 | −0.69 | −0.64 | −0.15 * | −0.19 * | −1.19 | −1.03 |
X8 | −0.22 ** | −0.25 *** | −0.30 | −0.20 | −0.039 | 0.011 | −1.02 * | −0.90 * |
X9 | −0.003 *** | −0.003 *** | −0.004 * | −0.0033 | −0.0014 *** | −0.0023 *** | −0.015 ** | −0.013 ** |
X10 | −0.012 | −0.005 | −0.093 | −0.098 | −0.044 ** | −0.045 ** | −0.12 | −0.12 |
X11 | −0.017 | −0.019 | 0.17 * | 0.14 | −0.013 | −0.0004 | 0.21 | 0.16 |
X12 | 0.002 | 0.003 | 0.005 | 0.004 | 0.0011 | 0.0003 | 0.021 | 0.013 |
X13 | 0.004 | −0.003 | −0.027 ** | −0.022 ** | 0.0004 | 0.0005 | −0.043 | −0.029 |
W–Y | 0.09 | −0.31 | −0.20 | −0.11 | ||||
Lambda | 0.09 | −0.01 | 1.43 *** | −0.29 | ||||
R2 | 0.93 | 0.93 | 0.81 | 0.80 | 0.95 | 0.93 | 0.82 | 0.82 |
Log L | −134.97 | −133.68 | −159.70 | −155.33 | −110.68 | −107.48 | −182.62 | −182.62 |
AIC | 299.93 | 295.35 | 339.40 | 338.66 | 251.36 | 242.97 | 395.25 | 393.23 |
SC | 318.80 | 312.96 | 358.27 | 356.28 | 270.23 | 260.58 | 414.20 | 410.85 |
5. Discussion
5.1. Spatial–Temporal Characteristics
5.2. Driving Mechanism
6. Conclusions, Policy Implications, and Future Work
6.1. Conclusions
6.2. Policy Implications
6.3. Future Work
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
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Variables | Measurement Indicator | Unit |
---|---|---|
X1 | Number of policy texts related to urban–rural land use | PCS |
X2 | Change in output value of primary industry | 108 CNY |
X3 | Change in output value of secondary industry | 108 CNY |
X4 | Change in output value of tertiary industry | 108 CNY |
X5 | Change in total population at the end of the year | 104 person |
X6 | Change in population urbanization rate | % |
X7 | Average elevation | m |
X8 | Annual average precipitation | mm |
X9 | Change in GDP per capita | 1 CNY |
X10 | Change in local fiscal revenue | 108 CNY |
X11 | Change in fixed–asset investment | 108 CNY |
X12 | Change in per–capita disposable income of urban population | 1 CNY |
X13 | Change in per–capita disposable income of rural population | 1 CNY |
Year | Rank | Types of Land–Use Transition | Transition Code (C) | Area (km2) (SAB) | Change Rate (%) (RAB) |
---|---|---|---|---|---|
1990–2000 | 1 | Cultivated land → construction land | 15 | 2656 | 37.07 |
2 | Grassland → forest land | 32 | 2162 | 30.17 | |
3 | Cultivated land → forest land | 12 | 917 | 12.80 | |
4 | Cultivated land → water area | 14 | 348 | 4.86 | |
5 | Grassland → cultivated land | 31 | 248 | 3.46 | |
6 | Forest land → cultivated land | 21 | 191 | 2.67 | |
Subtotal | 6522 | 91.03 | |||
Total of this period | 7165 | 100 | |||
2000–2010 | 1 | Cultivated land → construction land | 15 | 5198 | 74.11 |
2 | Cultivated land → water area | 14 | 695 | 9.91 | |
3 | Forest land → construction land | 25 | 270 | 3.85 | |
4 | Water area → cultivated land | 41 | 199 | 2.84 | |
5 | Water area → construction land | 45 | 197 | 2.81 | |
6 | Grassland → water area | 34 | 82 | 1.17 | |
Subtotal | 6641 | 94.69 | |||
Total of this period | 7013 | 100 | |||
2010–2018 | 1 | Cultivated land → construction land | 15 | 15,772 | 24.04 |
2 | Construction land → cultivated land | 51 | 9339 | 14.24 | |
3 | Cultivated land → forest land | 12 | 8437 | 12.86 | |
4 | Forest land → cultivated land | 21 | 8165 | 12.45 | |
5 | Cultivated land → water area | 14 | 4716 | 7.19 | |
6 | Water area → cultivated land | 41 | 4479 | 6.83 | |
Subtotal | 50,908 | 77.61 | |||
Total of this period | 65,595 | 100 | |||
1990–2018 | 1 | Cultivated land → construction land | 15 | 20,613 | 29.31 |
2 | Cultivated land → forest land | 12 | 9309 | 13.12 | |
3 | Forest land → cultivated land | 21 | 8051 | 11.45 | |
4 | Construction land → cultivated land | 51 | 6638 | 9.44 | |
5 | Cultivated land → water area | 14 | 5207 | 7.40 | |
6 | Water area → cultivated land | 41 | 4043 | 5.75 | |
Subtotal | 53,861 | 76.47 | |||
Total of this period | 70,434 | 100 |
Year | Characteristics of Urban–Rural Development | Stages of Urban–Rural Development | Types of Urban–Rural Land–Use Transition | Area (km2) | Change Rate (%) |
---|---|---|---|---|---|
1990–2000 | One–way flow from rural to urban of labor, land, capital, and other elements; imbalanced relationship between industry and agriculture, between urban and rural areas, and between man and land | Urban–rural interaction development | Cultivated land → Urban construction land | 1292 | 18.03 |
Rural residential land → Urban construction land | 16 | 0.22 | |||
Rural residential land → Cultivated land | 5 | 0.07 | |||
Subtotal Total of this period | 1313 7165 | 18.33 100 | |||
2000–2010 | Asymmetric mutualistic symbiosis, large–scale migration of farmers and accelerated urbanization, trends of industry nurturing agriculture and urban areas supporting rural areas started to take shape | Urban–rural coordinating development | Cultivated land → urban construction land | 3388 | 48.30 |
Rural residential land → urban construction land | 209 | 2.98 | |||
Rural residential land → cultivated land | 4 | 0.06 | |||
Subtotal Total of this period | 3601 7013 | 51.34 100 | |||
2010–2018 | Priority given to the development of agriculture and rural districts, free flow of all elements of “labor–land–finance” between urban and rural areas | Urban–rural integration development | Rural residential land → cultivated land | 7451 | 11.36 |
Cultivated land → urban construction land | 6600 | 10.06 | |||
Rural residential land → urban construction land | 1676 | 2.55 | |||
Subtotal Total of this period | 15,727 65,595 | 23.97 100 | |||
1990–2018 | Focus shifting from urban support to rural revitalization and gradually implementing urban–rural integrated development | Urban–rural interaction Urban–rural coordinating Urban–rural integration | Cultivated land → urban construction land | 10,625 | 15.11 |
Rural residential land → cultivated land | 5896 | 8.38 | |||
Rural residential land → urban construction land | 974 | 1.38 | |||
Subtotal Total of this period | 17,495 70,434 | 24.87 100 |
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Niu, X.; Liao, F.; Liu, Z.; Wu, G. Spatial–Temporal Characteristics and Driving Mechanisms of Land–Use Transition from the Perspective of Urban–Rural Transformation Development: A Case Study of the Yangtze River Delta. Land 2022, 11, 631. https://doi.org/10.3390/land11050631
Niu X, Liao F, Liu Z, Wu G. Spatial–Temporal Characteristics and Driving Mechanisms of Land–Use Transition from the Perspective of Urban–Rural Transformation Development: A Case Study of the Yangtze River Delta. Land. 2022; 11(5):631. https://doi.org/10.3390/land11050631
Chicago/Turabian StyleNiu, Xing, Fenghua Liao, Ziming Liu, and Guancen Wu. 2022. "Spatial–Temporal Characteristics and Driving Mechanisms of Land–Use Transition from the Perspective of Urban–Rural Transformation Development: A Case Study of the Yangtze River Delta" Land 11, no. 5: 631. https://doi.org/10.3390/land11050631
APA StyleNiu, X., Liao, F., Liu, Z., & Wu, G. (2022). Spatial–Temporal Characteristics and Driving Mechanisms of Land–Use Transition from the Perspective of Urban–Rural Transformation Development: A Case Study of the Yangtze River Delta. Land, 11(5), 631. https://doi.org/10.3390/land11050631