Research Article
The Comparison and Modeling of the Driving Factors of Urban Expansion for Thirty-Five Big Cities in the Three Regions in China
Table 5
Urban expansion and driving factors in Middle China.
| Item | (1990–2010) | (1990–1995) | (1995–2000) | (2000–2005) | (2005–2010) |
| Population increment, POPI | 0.0033 | 0.1957 | 0.0351 | 0.5964 | 0.5050 | GDP increment, GDPI | 0.1454 | 0.0853 | 0.6265 | 0.1962 | 0.7574 | Investment increment in capital construction, IICC | −0.0260 | 0.0098 | 0.0637 | 0.0341 | 0.0411 | Salary increment per capita, SIPC | 0.0299 | 0.1114 | −0.0011 | 0.5759 | −0.3751 | Road increment, RI | −0.0385 | −0.0150 | −0.0608 | −0.0065 | −0.3041 | Secondary industry product increment, SIPI | 0.1287 | 0.0203 | 0.2551 | 0.0156 | 0.1206 | Tertiary industry product increment, TIPI | 0.0060 | −0.0154 | 0.2786 | 0.0368 | 0.2661 | Electricity consumption increment, ECI | −0.0362 | 0.0668 | −0.0623 | 0.1034 | 0.1673 | Constant | 0.0895 | 0.0785 | 0.0323 | 0.0287 | 0.4017 | Durbin-Watson stat | 2.0513 | 2.5574 | 2.7548 | 2.3350 | 2.7245 | R-squared | 0.2281 | 0.9928 | 0.3597 | 0.6839 | 0.8315 | Adjusted R-squared | 0.0774 | 0.9877 | 0.0064 | 0.5307 | 0.5618 | F-statistic | 1.5140 | 191.6067 | 1.0180 | 4.4631 | 3.0836 | Prob (-statistic) | 0.1146 | 0.0000 | 0.4670 | 0.0001 | 0.0380 |
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The -test statistics are presented in parentheses. , , and represent statistical significance on a 10%, 5%, and 1% level, respectively.
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