Resources Science ›› 2018, Vol. 40 ›› Issue (2): 273-283.doi: 10.18402/resci.2018.02.05
• Orginal Article • Previous Articles Next Articles
Dazhuan GE1,2,3(), Hualou LONG1,3,4(
), Ren YANG5
Received:
2017-11-06
Revised:
2018-01-09
Online:
2018-02-20
Published:
2018-02-11
Dazhuan GE, Hualou LONG, Ren YANG. The pattern and mechanism of farmland transition in China from the perspective of per capita farmland area[J].Resources Science, 2018, 40(2): 273-283.
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Table 1
Spatial econometrics regression model variables for farmland transition"
列表 | 变量 | 描述/单位 |
---|---|---|
因变量 | PCFC | 人均耕地面积变化率 |
自变量 | ||
自然因素 | Elevation | 平均海拔/m |
Slope | 平均坡度/° | |
区位因素 | Dis2city | 与地级市的最近距离/km |
Dis2river | 与主要河流的距离/km | |
Dis2railway | 与主要铁路的最近距离/km | |
社会经济因素 | PGDP | 人均GDP/元 |
AIR | 灌溉面积占播种面积的比重/% | |
CPGDP | 人均GDP变化/% | |
CAIR | 灌溉比率变化/% |
Table 2
Statistical summary of the proportions of population, farmland area and PCFA by district in China from 1990 to 2010"
人口比重/% | 耕地比重/% | 人均耕地面积/hm² | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
1990年 | 2000年 | 2010年 | 1990年 | 2000年 | 2010年 | 1990年 | 2000年 | 2010年 | |||
胡焕庸线东南部 | 94.21 | 93.97 | 93.79 | 87.62 | 87.18 | 86.63 | 0.34 | 0.33 | 0.36 | ||
胡焕庸线西北部 | 5.79 | 6.03 | 6.21 | 12.38 | 12.82 | 13.37 | 1.38 | 1.43 | 1.44 | ||
东北区 | 10.23 | 9.79 | 9.57 | 16.31 | 17.67 | 17.88 | 0.81 | 0.89 | 0.94 | ||
黄淮海区 | 25.19 | 25.04 | 24.99 | 17.29 | 16.76 | 16.61 | 0.16 | 0.13 | 0.13 | ||
长三角区 | 9.78 | 9.83 | 10.85 | 5.88 | 5.60 | 5.36 | 0.18 | 0.16 | 0.16 | ||
长江中下游区 | 21.00 | 20.07 | 19.35 | 14.16 | 13.83 | 13.71 | 0.16 | 0.15 | 0.15 | ||
珠三角区 | 5.15 | 6.77 | 7.85 | 2.01 | 1.88 | 1.73 | 0.13 | 0.11 | 0.10 | ||
华南区 | 5.08 | 4.99 | 5.09 | 4.58 | 4.48 | 4.47 | 0.34 | 0.32 | 0.34 | ||
西南区 | 19.26 | 18.59 | 17.10 | 17.35 | 17.05 | 16.99 | 0.24 | 0.24 | 0.26 | ||
黄土高原区 | 7.82 | 7.89 | 7.74 | 8.72 | 8.61 | 8.49 | 0.42 | 0.40 | 0.41 | ||
内蒙区 | 3.80 | 3.69 | 3.68 | 8.32 | 8.63 | 8.63 | 1.14 | 1.20 | 1.34 | ||
甘新区 | 2.51 | 2.73 | 2.90 | 4.83 | 4.95 | 5.57 | 1.61 | 1.53 | 1.58 | ||
青藏区 | 0.41 | 0.40 | 0.43 | 0.54 | 0.55 | 0.56 | 1.78 | 1.79 | 1.73 |
Table 3
Result of spatial econometric regression model for farmland transitional driving factors"
变量 | PCFC 1990-2000(SEM) | 变量 | PCFC 2000-2010(SEM) |
---|---|---|---|
常数项 | -0.57* | 常数项 | 12.07*** |
PCFA_1990 | 4.16*** | PCFA_2000 | 1.20*** |
Elevation | -0.12 | Elevation | 5.09** |
Slope | 8.48*** | Slope | 1.13 |
Dis2city | 45.41*** | Dis2city | 8.02*** |
Dis2river | 17.75*** | Dis2river | 1.12 |
Dis2railway | -23.69*** | Dis2railway | -1.48 |
PGDP_1990 | -3.86 | PGDP_2000 | -14.16*** |
AIR_1990 | -2.28 | AIR_2000 | -7.63*** |
CPGDP_1990-2000 | -0.01 | CPGDP_2000-2010 | -2.39* |
CAIR_1990-2000 | 3.64* | CAIR_2000-2010 | -5.98** |
LAMBDA | 0.93*** | LAMBDA | 0.97*** |
R² | 0.73 | R² | 0.86 |
AIC | 461 342 | AIC | 441 159 |
SC | 461 440 | SC | 441 258 |
Log likelihood | -230 659.78 | Log likelihood | -220 568.71 |
Lagrange Multiplier (lag) | 97 503.20*** | Lagrange Multiplier (lag) | 137 354.00 *** |
Robust LM (lag) | 18.82*** | Robust LM (lag) | 894.14*** |
Lagrange Multiplier (error) | 97 868.80*** | Lagrange Multiplier (error) | 137 586.03*** |
Robust LM (error) | 384.42*** | Robust LM (error) | 1 125.81*** |
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