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 4
Urban expansion and driving factors in Eastern China.
| Item | (1990–2010) | (1990–1995) | (1995–2000) | (2000–2005) | (2005–2010) |
| Population increment, POPI | 0.2472 | −0.0036 | 0.1344 | −0.0602 | 0.3077 | GDP increment, GDPI | −0.0439 | 0.1435 | −0.1201 | 0.2312 | 0.0063 | Investment increment in capital construction, IICC | −0.0056 | 0.0121 | −0.0039 | 0.0004 | 0.0491 | Salary increment per capita, SIPC | −0.0115 | −0.0754 | −0.0001 | 0.0154 | 0.0989 | Road increment, RI | 0.2033 | 0.1545 | 0.1099 | 0.0981 | −0.0246 | Secondary industry product increment, SIPI | 0.1445 | −0.0385 | 0.0067 | 0.1829 | 0.1125 | Tertiary industry product increment, TIPI | −0.0627 | −0.0808 | 0.1184 | 0.2038 | 0.0123 | Electricity consumption increment, ECI | 0.1402 | −0.0386 | 0.0378 | 0.0897 | 0.0178 | Constant | 0.2472 | 0.0498 | 0.0238 | 0.0058 | 0.0448 | Durbin-Watson stat | 2.6245 | 2.2180 | 2.3189 | 2.1241 | 2.0733 | -squared | 0.5107 | 0.4951 | 0.4826 | 0.4389 | 0.2895 | Adjusted -squared | 0.3794 | 0.2536 | 0.3019 | 0.2490 | 0.0200 | -statistic | 3.8905 | 0.0545 | 2.6706 | 2.3109 | 1.0741 | Prob (-statistic) | 0.0000 | 2.0503 | 0.0012 | 0.0048 | 0.3994 |
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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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