SPATIO-TEMPORAL EVOLUTION OF GEOGRAPHICAL LOCATION OF INTERNATIONAL ORGANIZATION INSTITUTIONS IN THE PAST 100 YEARS: AGGLOMERATION MODEL AND INFLUENCING FACTORS
HOU Chun-guang1,2,3, DU De-bin1,2,3
1. Institute for Global Innovation and Development, East China Normal University, Shanghai 200062, China;
2. School of Urban and Regional Science, East China Normal University, Shanghai 200062, China;
3. National Institutes of Educational Policy Research, East China Normal University, Shanghai 200062, China
Abstract：International organization institutions have irreplaceable strategic significance in building national soft power, shaping global governance mechanism, and expanding national interests. Based on the data of UIA, this paper uses vector data notation and negative binomial regression model to conduct an in- depth study on the spatial-temporal evolution, agglomeration model and their influencing factors of the geographical location of 26,457 international organization institutions established from 1918 to 2017. The results are as follows.First, in the past 100 years, the cumulative number of international organizations has increased by 1200 times in geometric order. Second, the spatial distribution of international organization institutions is extremely uneven. Thirdly, international organization institutions have permanent neutral country agglomeration model, strong country agglomeration model and regional central country agglomeration model. Finally, the regression results show that economic influence, cultural influence, scientific and technological influence, and historical organizational cultural heritage of a country have a significant positive correlation with the geographical agglomeration of international organization institutions at the level of 0.01.
侯纯光, 杜德斌. 百年来国际组织机构地理位置的时空演化：集聚模式与影响因素[J]. 人文地理, 2020, 35(5): 85-93,160.
HOU Chun-guang, DU De-bin. SPATIO-TEMPORAL EVOLUTION OF GEOGRAPHICAL LOCATION OF INTERNATIONAL ORGANIZATION INSTITUTIONS IN THE PAST 100 YEARS: AGGLOMERATION MODEL AND INFLUENCING FACTORS. HUMAN GEOGRAPHY, 2020, 35(5): 85-93,160.
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