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 6
Urban expansion and driving factors in Western China.
| Item | (1990–2010) | (1990–1995) | (1995–2000) | (2000–2005) | (2005–2010) |
| Population increment, POPI | 0.1707 | 0.7961 | 0.1228 | 0.2537 | −0.1804 | GDP increment, GDPI | 0.0902 | −0.4907 | 2.9207 | −0.2369 | 0.1660 | Investment increment in capital construction, IICC | −0.0041 | −0.0015 | 0.0155 | 0.0208 | 0.0696 | Salary increment per capita, SIPC | 0.0142 | 0.1159 | 0.0236 | −0.0338 | 0.1406 | Road increment, RI | 0.0053 | 0.0123 | 0.0437 | 0.1559 | 0.0835 | Secondary industry product increment, SIPI | −0.0649 | 0.2180 | 1.5654 | −0.0884 | 0.1529 | Tertiary industry product increment, TIPI | −0.0059 | 0.3083 | 1.2645 | 0.1103 | −0.0566 | Electricity consumption increment, ECI | 0.0289 | −0.0025 | 0.0197 | 0.0930 | 0.0455 | Constant | 0.0670 | −0.0088 | 0.0496 | 0.1096 | 0.0268 | Durbin-Watson stat | 1.9862 | 1.6960 | 2.0995 | 2.7043 | 2.6269 | -squared | 0.2081 | 0.4667 | 0.3405 | 0.6997 | 0.6364 | Adjusted -squared | 0.0689 | 0.3374 | 0.2178 | 0.5186 | 0.4209 | -statistic | 1.4947 | 3.6092 | 2.7747 | 0.4566 | 2.9531 | Prob (-statistic) | 0.1189 | 0.0041 | 0.0144 | 0.8773 | 0.0064 |
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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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