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 3
Urban expansion and driving factors in 1990–2010 in China.
| Item | (1990–2010) | (1990–1995) | (1995–2000) | (2000–2005) | (2005–2010) |
| Population increment, POPI | 0.2038 | 0.3304 | 0.0782 | 0.0752 | −0.0616 | GDP increment, GDPI | 0.0841 | 0.0838 | 0.7161 | 0.0091 | 0.0047 | Investment increment in capital construction, IICC | −0.0005 | −0.0002 | −0.0015 | 0.0401 | 0.0428 | Salary increment per capita, SIPC | 0.1070 | −0.0169 | 0.0300 | 0.0682 | 0.0344 | Road increment, RI | 0.0401 | −0.0017 | 0.0109 | 0.2095 | −0.0197 | Secondary industry product increment, SIPI | 0.0982 | 0.0046 | 0.4138 | 0.2881 | 0.0846 | Tertiary industry product increment, TIPI | −0.0219 | 0.0511 | 0.2764 | −0.039 | −0.01 | Electricity consumption increment, ECI | 0.0135 | 0.0791 | 0.0300 | 0.0224 | 0.0202 | Constant | 0.0860 | 0.0647 | 0.0514 | 0.0346 | 0.0546 | Durbin-Watson stat | 1.9037 | 2.0378 | 2.6353 | 2.3684 | 2.2333 | -squared | 0.6341 | 0.5946 | 0.511 | 0.5172 | 0.3725 | Adjusted -squared | 0.5215 | 0.4513 | 0.3643 | 0.3754 | 0.1842 | -statistic | 2.7153 | 4.149 | 3.4833 | 3.6472 | 1.9786 | Prob (-statistic) | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0017 |
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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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