世界地理研究 ›› 2024, Vol. 33 ›› Issue (8): 27-39.DOI: 10.3969/j.issn.1004-9479.2024.08.20222287
收稿日期:
2022-10-06
修回日期:
2023-06-01
出版日期:
2024-08-15
发布日期:
2024-08-21
通讯作者:
付志惠
作者简介:
张柏杨(1992—),男,“骏马计划”特聘研究员,博士,研究方向为大数据与计算社会学、社会心态与社会治理、传播社会学,E-mail:boyang@smail.nju.edu.cn。
基金资助:
Boyang ZHANG1(), Zhihui FU2(), Yunsong CHEN2, Ying LI2
Received:
2022-10-06
Revised:
2023-06-01
Online:
2024-08-15
Published:
2024-08-21
Contact:
Zhihui FU
摘要:
以非洲35个国家为例,基于GDELT新闻媒体数据库,构建非洲国家的全球关注度和美誉度指标,使用情感分析、空间分析、可视化和动态面板计量模型对外商直接投资(FDI)区位选择的影响因素进行研究。研究发现:从时间趋势上看,非洲的外商直接投资趋势曲线共有4种变动模式——高投资型、投资上升型、投资下降型和低投资型。从空间维度上看,非洲的外商直接投资和全球传播指标的地区差异明显,并形成以非洲南部、几内亚湾和部分北非地区为主的外商直接投资和全球传播高地。基准模型表明,非洲国家的外商直接投资除了取决于经济和制度等传统因素外,也受到其在全球传播中的关注度和美誉度的影响。其中,全球媒体关注度影响效应的大小约为投资国经济发展水平影响效应的11.6%,与投资国制度政策优越度影响效应相当。而媒体美誉度指数对外商直接投资的影响效应大小约为经济因素的7.54%,约为制度政策因素的二分之一。基于大数据的宏观定量分析,从社会文化传播角度对外商直接投资理论进行拓展延伸,是大数据和计算社会科学方法与传统定量研究方法的有益结合,也为提升国家形象发展战略提供了数据和理论支持。
张柏杨, 付志惠, 陈云松, 李颖. 媒体关注度、美誉度对外商直接投资的影响[J]. 世界地理研究, 2024, 33(8): 27-39.
Boyang ZHANG, Zhihui FU, Yunsong CHEN, Ying LI. The impact of global attention, reputation on foreign direct investment: Based on big data research in African countries[J]. World Regional Studies, 2024, 33(8): 27-39.
变量 | 均值 | 标准差 | 最小值 | 最大值 | 观测值 |
---|---|---|---|---|---|
外商直接投资FDI/亿元 | 8.029 | 10.744 | -8.836 | 44.170 | N=175 |
全球关注指数Att(比值) | 0.002 | 0.002 | 0.000 | 0.009 | N=175 |
国家美誉度指数Img(比值) | -0.186 | 0.802 | -2.694 | 1.637 | N=175 |
经济发展水平GDP/亿元 | 320.220 | 710.500 | 3.161 | 4 868.030 | N=175 |
对外开放度Open(比值) | 0.668 | 0.447 | 0.211 | 3.072 | N=165 |
财政政策优越度Fin(评分) | 3.140 | 0.524 | 2.000 | 4.000 | N=175 |
公共管理政策优越度Pub(评分) | 3.037 | 0.422 | 2.000 | 4.000 | N=175 |
防腐败政策优越度Cor(评分) | 2.760 | 0.616 | 1.500 | 4.500 | N=175 |
人力资源政策优越度HR(评分) | 3.657 | 0.467 | 2.500 | 4.500 | N=175 |
贸易政策优越度Tra(评分) | 3.829 | 0.457 | 2.500 | 4.500 | N=175 |
预算与金融管理政策优越度Bud(评分) | 3.154 | 0.478 | 2.000 | 4.000 | N=175 |
金融发展政策优越度Finsec(评分) | 2.891 | 0.401 | 2.000 | 4.000 | N=175 |
性别平等政策优越度Gend(评分) | 3.266 | 0.535 | 2.000 | 4.500 | N=175 |
环境可持续发展政策优越度Env(评分) | 3.326 | 0.473 | 2.000 | 4.500 | N=175 |
自然禀赋Nat/% | 8.449 | 7.119 | 0.265 | 47.952 | N=175 |
劳动力禀赋Lab/万人 | 992.130 | 1 297.010 | 6.641 | 6 322.672 | N=175 |
移动互联网资源Cell/(部/百人) | 80.947 | 26.683 | 32.129 | 145.341 | N=166 |
城镇化水平Urb/% | 40.857 | 16.166 | 12.078 | 77.915 | N=175 |
表1 非洲外商直接投资的主要变量描述性统计指数(2015—2019年)
Tab.1 Descriptive statistical indices of main variables of FDI in Africa (2015-2019)
变量 | 均值 | 标准差 | 最小值 | 最大值 | 观测值 |
---|---|---|---|---|---|
外商直接投资FDI/亿元 | 8.029 | 10.744 | -8.836 | 44.170 | N=175 |
全球关注指数Att(比值) | 0.002 | 0.002 | 0.000 | 0.009 | N=175 |
国家美誉度指数Img(比值) | -0.186 | 0.802 | -2.694 | 1.637 | N=175 |
经济发展水平GDP/亿元 | 320.220 | 710.500 | 3.161 | 4 868.030 | N=175 |
对外开放度Open(比值) | 0.668 | 0.447 | 0.211 | 3.072 | N=165 |
财政政策优越度Fin(评分) | 3.140 | 0.524 | 2.000 | 4.000 | N=175 |
公共管理政策优越度Pub(评分) | 3.037 | 0.422 | 2.000 | 4.000 | N=175 |
防腐败政策优越度Cor(评分) | 2.760 | 0.616 | 1.500 | 4.500 | N=175 |
人力资源政策优越度HR(评分) | 3.657 | 0.467 | 2.500 | 4.500 | N=175 |
贸易政策优越度Tra(评分) | 3.829 | 0.457 | 2.500 | 4.500 | N=175 |
预算与金融管理政策优越度Bud(评分) | 3.154 | 0.478 | 2.000 | 4.000 | N=175 |
金融发展政策优越度Finsec(评分) | 2.891 | 0.401 | 2.000 | 4.000 | N=175 |
性别平等政策优越度Gend(评分) | 3.266 | 0.535 | 2.000 | 4.500 | N=175 |
环境可持续发展政策优越度Env(评分) | 3.326 | 0.473 | 2.000 | 4.500 | N=175 |
自然禀赋Nat/% | 8.449 | 7.119 | 0.265 | 47.952 | N=175 |
劳动力禀赋Lab/万人 | 992.130 | 1 297.010 | 6.641 | 6 322.672 | N=175 |
移动互联网资源Cell/(部/百人) | 80.947 | 26.683 | 32.129 | 145.341 | N=166 |
城镇化水平Urb/% | 40.857 | 16.166 | 12.078 | 77.915 | N=175 |
图2 非洲各国外商直接投资净流入额与国际传播指数的空间差异注:该图基于国家测绘局标准地图服务网站下载的审图号为GS(2020)4391号的标准地图制作,底图无修改。
Fig.2 The spatial differences of net FDI inflows and international communication index in African countries
因素 | 变量 | 模型系数 | 聚类稳健标准误 |
---|---|---|---|
路径依赖 | FDI(t-1) | 0.337*** | 0.084 |
文化传播因素 | Att | 0.134* | 0.062 |
Img | 0.087* | 0.042 | |
经济因素 | GDP | 1.155*** | 0.212 |
Open | -0.013 | 0.039 | |
制度因素 | Fin | 0.137* | 0.056 |
Pub | -0.251 | 0.134 | |
Cor | 0.156** | 0.054 | |
HR | -0.057 | 0.081 | |
Tra | -0.210 | 0.126 | |
Bud | 0.131* | 0.066 | |
Finsec | 0.026 | 0.061 | |
Gend | 0.190 | 0.135 | |
Env | 0.181** | 0.066 | |
公共设施与资源因素 | Nat | -0.136* | 0.062 |
Lab | -0.839*** | 0.252 | |
Cell | 0.190 | 0.110 | |
Urb | -1.659*** | 0.490 | |
截距 | -0.286* | 0.133 |
表2 非洲FDI区位选择影响因素的回归结果
Tab.2 Regression results of influencing factors of FDI in Africa
因素 | 变量 | 模型系数 | 聚类稳健标准误 |
---|---|---|---|
路径依赖 | FDI(t-1) | 0.337*** | 0.084 |
文化传播因素 | Att | 0.134* | 0.062 |
Img | 0.087* | 0.042 | |
经济因素 | GDP | 1.155*** | 0.212 |
Open | -0.013 | 0.039 | |
制度因素 | Fin | 0.137* | 0.056 |
Pub | -0.251 | 0.134 | |
Cor | 0.156** | 0.054 | |
HR | -0.057 | 0.081 | |
Tra | -0.210 | 0.126 | |
Bud | 0.131* | 0.066 | |
Finsec | 0.026 | 0.061 | |
Gend | 0.190 | 0.135 | |
Env | 0.181** | 0.066 | |
公共设施与资源因素 | Nat | -0.136* | 0.062 |
Lab | -0.839*** | 0.252 | |
Cell | 0.190 | 0.110 | |
Urb | -1.659*** | 0.490 | |
截距 | -0.286* | 0.133 |
变量 | 第一阶段全球媒体关注度 | 第二阶段FDI | 变量 | 第一阶段全球媒体美誉度 | 第二阶段FDI |
---|---|---|---|---|---|
Bartik IV | 0.169** | Bartik IV | 0.605*** | ||
(0.048) | (0.063) | ||||
Att | 0.701* | Img | 0.303** | ||
(0.352) | (0.096) | ||||
控制变量 | 是 | 是 | 控制变量 | 是 | 是 |
观测数 | 160 | 160 | 观测数 | 160 | 160 |
R2 | 0.582 | 0.398 | R2 | 0.728 | 0.484 |
表3 非洲外商直接投资影响因素的工具变量回归结果(2015—2019年)
Tab.3 IV of influencing factors of FDI in Africa (2015-2019)
变量 | 第一阶段全球媒体关注度 | 第二阶段FDI | 变量 | 第一阶段全球媒体美誉度 | 第二阶段FDI |
---|---|---|---|---|---|
Bartik IV | 0.169** | Bartik IV | 0.605*** | ||
(0.048) | (0.063) | ||||
Att | 0.701* | Img | 0.303** | ||
(0.352) | (0.096) | ||||
控制变量 | 是 | 是 | 控制变量 | 是 | 是 |
观测数 | 160 | 160 | 观测数 | 160 | 160 |
R2 | 0.582 | 0.398 | R2 | 0.728 | 0.484 |
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