CAJ | 학술논문

本文采用空间统计学和空间计量经济学方法，就我国省域贸易开放的空间相关性及其驱动因素进行了实证分析。全域Moran指数揭示了我国省域贸易开放水平的正向空间相关特征，局域Moran散点图的变化展示了不同省域贸易开放集聚特征的空间演化路径。进一步的空间面板自回归模型和空间面板误差模型的估计结果不仅再次肯定了省域贸易开放的空间相关性，而且证实了金融发展水平、外资利用规模以及交通运输条件等因素对省域贸易开放的显著促进作用。依据不同空间权重矩阵估计的结果具有一致性。
본문채용공간통계학화공간계량경제학방법，취아국성역무역개방적공간상관성급기구동인소진행료실증분석。전역Moran지수게시료아국성역무역개방수평적정향공간상관특정，국역Moran산점도적변화전시료불동성역무역개방집취특정적공간연화로경。진일보적공간면판자회귀모형화공간면판오차모형적고계결과불부재차긍정료성역무역개방적공간상관성，이차증실료금융발전수평、외자이용규모이급교통운수조건등인소대성역무역개방적현저촉진작용。의거불동공간권중구진고계적결과구유일치성。
This paper uses the spatial statistics and spatial econometric methods to analyze the spatial dependence of trade openness and its determinants between provinces in China. Global Moran＇s indexes reveal the spatial correlation characteristics of Chinese provincial trade openness levels, and the different local Moran scatter graphs show the evolution regularity of the spatial agglomeration of trade openness in different provinces in China. The estimating results from the space panel autoregressive model and spatial panel error model not only reaffirm the spatial correlation of provincial trade openness but also confirm the promoting effect of financial development level, foreign direct invest, transportation conditions on trade openness. The estimated results based on different space weight matrixes are consistent.