PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (11): 1785-1797.doi: 10.18306/dlkxjz.2020.11.001
• Articles • Next Articles
SONG Zhouying1,2,3(), ZHU Qiaoling1,2,3
Received:
2020-04-15
Revised:
2020-05-29
Online:
2020-11-28
Published:
2021-01-28
Supported by:
SONG Zhouying, ZHU Qiaoling. Development of trade between China’s provinces and Pakistan and influencing factors under the background of the Belt and Road Initiative[J].PROGRESS IN GEOGRAPHY, 2020, 39(11): 1785-1797.
Tab.1
Major influencing factors of the volume of trade between provinces in China and Pakistan"
解释变量 | 变量含义 | 单位 | 数据来源 | 预期影响方向 | |
---|---|---|---|---|---|
核心变量 | 表示t时期中国c省(区市)人均GDP,反映该省(区市)的经济发展程度和需求水平 | 美元 | 中国统计年鉴 | + | |
表示t时期巴基斯坦人均GDP,反映其经济发展程度和需求水平 | 美元 | 世界银行 | + | ||
表示t时期中国c省(区市)的人口规模,反映该省(区市)的市场规模 | 人 | 中国统计年鉴 | + | ||
表示t时期巴基斯坦的人口规模,反映其市场规模 | 人 | 世界银行 | + | ||
表示c省(区市)和巴基斯坦间的运输距离,反映贸易运输的成本 | km | freemaptools.com | - | ||
表示c省(区市)和巴基斯坦是否有领土接壤,虚拟变量,反映两地进行口岸贸易的在地理条件上的可能性 | — | 标准地图服务系统 | + | ||
表示t时期c省(区市)和巴基斯坦人均GDP的差额,反映两地的人均收入水平和购买能力 | 美元 | 中国统计年鉴,世界银行 | - | ||
表示t时期c省(区市)实际利用的外商直接投资额,反映外资引进对贸易额的影响 | 万美元 | 各省(区市)统计年鉴 | + | ||
表示t时期c省(区市)的对外贸易依存度,反映了对外贸易在该省(区市)经济中的重要程度 | — | 中国统计年鉴 | + | ||
贸易非效率项 | 表示t时期c省(区市)一级水运口岸个数,反映该省(区市)的贸易便利化水平 | — | 中国口岸年鉴 | - | |
表示t时期c省(区市)一级航空口岸个数,反映该省(区市)的贸易便利化水平 | — | 中国口岸年鉴 | - | ||
表示t时期c省(区市)一级铁路口岸个数,反映该省(区市)的贸易便利化水平 | — | 中国口岸年鉴 | - | ||
表示t时期c省(区市)一级公路口岸个数,反映该省(区市)的贸易便利化水平 | — | 中国口岸年鉴 | - | ||
表示t时期“一带一路”倡议是否提出,虚拟变量,反映中巴区域一体化水平 | — | 中国政府网 | - |
Tab.3
Estimation results using the stochastic frontier gravity model"
模型1 | 模型2 | ||||
---|---|---|---|---|---|
系数 | t统计量 | 系数 | t统计量 | ||
随机前沿函数 | 常数项 | -12.92 | -0.58 | -7.55 | -0.34 |
5.49*** | 3.34 | 6.48*** | 4.31 | ||
-2.34* | -1.82 | -2.70** | -2.12 | ||
1.37*** | 13.29 | 1.39*** | 21.21 | ||
1.44 | 0.49 | 1.02 | 0.34 | ||
-1.23** | -2.27 | -1.45*** | -2.84 | ||
1.56*** | 5.53 | 1.58*** | 5.76 | ||
-2.67** | -2.06 | -3.27*** | -2.67 | ||
0.01 | 0.23 | — | — | ||
0.36 | 1.36 | — | — | ||
贸易非效率函数 | 常数项 | -0.46 | -0.51 | -0.15 | -0.20 |
-0.09 | -1.56 | -0.08* | -1.71 | ||
0.26 | 1.55 | 0.27* | 1.81 | ||
-0.29 | -1.06 | -0.26 | -1.01 | ||
0.16** | 2.06 | 0.14** | 2.06 | ||
-0.12 | -0.31 | -0.03 | -0.09 | ||
统计检验 | 1.39*** | 2.63 | 1.23*** | 2.84 | |
γ | 0.85*** | 14.17 | 0.86*** | 15.09 | |
对数似然值 | -316.10 | -317.04 | |||
LR检验 | 33.52 | 47.92 |
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