Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Program
2.2. Industrial Land Price
2.3. Impact Factors
2.4. Geographically Weighted Regression Model
2.5. Model Fitting and Residual Spatial Autocorrelation
3. Results
3.1. Evaluation of GWR Models
3.2. Spatio-Temporal Varying Effects of Major Impact Factors
3.2.1. Relationship between Industrial Land Price and Tax
3.2.2. Relationship between Industrial Land Price and Leased Land
3.2.3. Relationship between Industrial Land Price and Population
3.2.4. Relationship between Industrial Land Price and Location Quotient Index
4. Discussions
4.1. Tendency of Population Mobility and Industrial Agglomeration
4.2. Coupling between Land Supply Plan and Local Tax Growth
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Abbreviation | POP | LQI | LAND | TAX | |
---|---|---|---|---|---|
Variable | Population | Location quotient index | Leased land | Tax | |
Description | Annual average population in a city. | The ratio of manufacture employing in all the employing of city divided by the ratio of manufacture employing in total of the employment of the whole country. Compared with real estate, excavation and electric power, the manufacturing industry has fewer limitations by natural resources. The LQI greatly presents the industrial concentration level [48]. | The total leased land for industry, mining and warehousing in a city. It is an important index to weigh government intervention. | The total industrial value-added tax payable in a city. Tax revenue is an important index to weigh economic achievements of a city. | |
Unit | 10 thousand | - | ha | 100 million | |
VIF | 2009 | 1.51 | 1.26 | 1.22 | 1.66 |
2011 | 1.31 | 1.26 | 1.01 | 1.58 | |
2014 | 2.37 | 1.29 | 2.20 | 2.01 |
Year | Residual Moran’s I | AICc | Adjusted R2 | P Value | ||||
---|---|---|---|---|---|---|---|---|
GWR | OLS | GWR | OLS | GWR | OLS | GWR | OLS | |
2009 | −0.02 | 0.16 | 1377.37 | 1419.57 | 0.52 | 0.30 | 0.00 | 0.00 |
2011 | −0.02 | 0.20 | 1378.82 | 1448.04 | 0.50 | 0.34 | 0.00 | 0.00 |
2014 | 0.00 | 0.19 | 1438.29 | 1509.86 | 0.57 | 0.43 | 0.00 | 0.00 |
VARIABLE | Min | Lwr Quartile | Mean | Upr Quartile | Max | DIFF of Criterion |
---|---|---|---|---|---|---|
β1_TAX_2009 | 0.5366 | 0.8007 | 0.9901 | 1.1692 | 1.4382 | 1.0066 |
β2_LAND_2009 | −0.1886 | −0.1172 | −0.0711 | −0.0218 | 0.0136 | −5.4236 |
β3_POP_2009 | −0.0323 | 0.1247 | 0.2048 | 0.2774 | 0.5301 | −8.9099 |
β4_LQI_2009 | −83.1875 | −3.0371 | 49.5306 | 122.2089 | 197.4760 | −3.3798 |
β1_TAX_2011 | −0.3576 | 0.3767 | 0.7084 | 1.0443 | 1.6822 | −8.8626 |
β2_LAND_2011 | −0.2526 | −0.0036 | −0.0091 | −0.0005 | 0.0577 | −1.0158 |
β3_POP_2011 | −0.2236 | −0.0194 | 0.2439 | 0.3785 | 1.0970 | −12.3876 |
β4_LQI_2011 | −239.9373 | −87.3454 | −5.9006 | 91.7083 | 201.9048 | −2.0133 |
β1_TAX_2014 | 0.2765 | 0.7382 | 1.2120 | 1.3182 | 2.8717 | −16.7267 |
β2_LAND_2014 | −0.7334 | −0.3896 | −0.2780 | −0.1791 | 0.1298 | −2.7771 |
β3_POP_2014 | −0.1637 | −0.0168 | 0.3261 | 0.5839 | 0.8683 | −1.2208 |
β4_LQI_2014 | −368.3462 | −175.4142 | −90.1802 | −20.9673 | 193.5961 | 1.7033 |
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Yang, S.; Hu, S.; Li, W.; Zhang, C.; Song, D. Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China. Sustainability 2020, 12, 2792. https://doi.org/10.3390/su12072792
Yang S, Hu S, Li W, Zhang C, Song D. Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China. Sustainability. 2020; 12(7):2792. https://doi.org/10.3390/su12072792
Chicago/Turabian StyleYang, Shengfu, Shougeng Hu, Weidong Li, Chuanrong Zhang, and Dongdong Song. 2020. "Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China" Sustainability 12, no. 7: 2792. https://doi.org/10.3390/su12072792