Acta Geographica Sinica ›› 2017, Vol. 72 ›› Issue (2): 197-212.doi: 10.11821/dlxb201702002
• Urban and Regional Development • Previous Articles Next Articles
Jingjing LI1,2(), Changhong MIAO1,2(
)
Received:
2016-07-18
Revised:
2016-11-08
Online:
2017-02-15
Published:
2017-02-15
Supported by:
Jingjing LI, Changhong MIAO. Impact of population flow on regional economic disparities in the Yangtze River economic belt[J].Acta Geographica Sinica, 2017, 72(2): 197-212.
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Tab. 1
The number and percentage of county economic development classifications
类型 | 1990年 | 2000年 | 2010年 | ||||||
---|---|---|---|---|---|---|---|---|---|
(个) | (%) | (个) | (%) | (个) | (%) | ||||
户籍口径 | 发达 | 125 | 14.43 | 140 | 16.17 | 142 | 16.40 | ||
较发达 | 156 | 18.01 | 110 | 12.70 | 100 | 11.55 | |||
欠发达 | 418 | 48.27 | 339 | 39.15 | 321 | 37.07 | |||
不发达 | 167 | 19.28 | 277 | 31.99 | 303 | 34.99 | |||
常住口径 | 发达 | 124 | 14.32 | 149 | 17.21 | 149 | 17.21 | ||
较发达 | 176 | 20.32 | 110 | 12.70 | 133 | 15.36 | |||
欠发达 | 416 | 48.04 | 362 | 41.80 | 360 | 41.57 | |||
不发达 | 150 | 17.32 | 245 | 28.29 | 224 | 25.87 | |||
流动人口比率(%) | < -10 | 14 | 1.62 | 142 | 16.40 | 425 | 49.08 | ||
-10~0 | 657 | 75.87 | 482 | 55.66 | 245 | 28.29 | |||
0~10 | 185 | 21.36 | 194 | 22.40 | 105 | 12.12 | |||
> 10 | 10 | 1.15 | 48 | 5.54 | 91 | 10.51 |
Tab. 2
The regression results of inflow and outflow models in 2000 and 2010
模型 | 对数指标模型(4) | 比例指标模型(5) | |||||||
---|---|---|---|---|---|---|---|---|---|
时期 | 2000年 | 2010年 | 2000年 | 2010年 | |||||
类型 | 流入地 | 流出地 | 流入地 | 流出地 | 流入地 | 流出地 | 流入地 | 流出地 | |
变量 | ln(PGDP) | ln(PGDP) | ln(PGDP) | ln(PGDP) | RPGDP | RPGDP | RPGDP | RPGDP | |
|MP| | 1.23*** | -0.23 | 1.39*** | 0.39*** | 4.09*** | -0.24 | 2.53*** | 0.13** | |
[2.69] | [-0.87] | [6.63] | [4.77] | [3.50] | [-1.25] | [5.22] | [2.15] | ||
HC | 0.19*** | 0.32*** | 0.17*** | 0.21*** | 0.12*** | 0.19*** | 0.17*** | 0.10*** | |
[8.52] | [18.57] | [6.79] | [12.28] | [3.21] | [17.02] | [4.57] | [8.73] | ||
Secondary | 1.86*** | 1.45*** | 2.70*** | 1.60*** | 2.48*** | 0.64*** | 2.74*** | 0.83*** | |
[9.89] | [11.76] | [13.11] | [15.85] | [7.21] | [6.73] | [8.89] | [11.70] | ||
ln(Finance) | 0.12*** | 0.23*** | 0.23*** | 0.18*** | |||||
[2.94] | [6.44] | [4.28] | [6.13] | ||||||
ln(FAI) | 0.12*** | 0.06*** | 0.02 | 0.18*** | |||||
[4.51] | [3.64] | [0.48] | [9.21] | ||||||
Dec | 0.17** | 0.40*** | 0.33*** | 0.13*** | |||||
[2.48] | [6.88] | [4.60] | [5.00] | ||||||
Strategy | 0.18*** | 0.14*** | 0.07 | 0.38*** | |||||
[3.96] | [2.81] | [1.15] | [11.08] | ||||||
Constant | 5.48*** | 4.59*** | 5.73*** | 4.98*** | -0.93*** | -0.97*** | -1.97*** | -0.72*** | |
[29.40] | [28.06] | [16.22] | [23.93] | [-4.70] | [-12.01] | [-6.71] | [-7.86] | ||
样本量 | 289 | 577 | 188 | 678 | 289 | 577 | 188 | 678 | |
R2 | 0.76 | 0.61 | 0.81 | 0.66 | 0.57 | 0.48 | 0.71 | 0.55 |
Tab. 3
Results of the multi-level regressions
类型 | 流入地 | 流出地 | |||||||
---|---|---|---|---|---|---|---|---|---|
模型层次 | 一层模型 Level_1 | 二层模型 Level_2 | 三层模型 Level_3 | 一层模型 Level_1 | 二层模型 Level_2 | 三层模型 Level_3 | |||
|MP| | 3.18*** | 2.82** | 2.90** | -0.52*** | -0.22 | -0.35 | |||
[6.34] | [2.52] | [2.13] | [-5.54] | [-0.49] | [-1.10] | ||||
HC | 0.20*** | 0.22*** | 0.19*** | 0.06*** | 0.10*** | 0.10*** | |||
[6.29] | [7.72] | [6.19] | [5.09] | [8.64] | [8.64] | ||||
Secondary | 0.92*** | 0.67*** | 0.66*** | 1.38*** | 1.34*** | 1.34*** | |||
[5.08] | [4.32] | [4.44] | [14.67] | [18.16] | [17.92] | ||||
Dec | 0.15*** | 0.06 | 0.14 | -0.02 | 0.25*** | 0.31** | |||
[2.75] | [1.21] | [1.44] | [-0.96] | [3.04] | [2.13] | ||||
Strategy | 0.20*** | 0.18*** | 0.14*** | 0.21*** | 0.09*** | 0.14*** | |||
[5.00] | [4.92] | [4.00] | [7.61] | [3.83] | [6.14] | ||||
Constant | -0.99*** | -0.96*** | -0.71*** | -0.19** | -0.54*** | -0.55*** | |||
[-4.72] | [-4.84] | [-3.38] | [-2.44] | [-6.24] | [-6.31] | ||||
-2倍对数似然函数值 | 1214.96 | 1085.00 | 1046.67 | 1024.53 | 380.63 | 352.80 | |||
似然比检验P值 | <0.01 | <0.01 | <0.01 | <0.01 |
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