Modelling spatio-temporal patterns of Chinese foreign direct investment under the Belt and Road Initiative

Q3 Economics, Econometrics and Finance Journal of International Logistics and Trade Pub Date : 2023-08-22 DOI:10.1108/jilt-03-2023-0019
R. Ardianto, P. Chhetri, Bonita Oktriana, P. Lee, Jun Yeop Lee
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Abstract

PurposeThis paper aims to explore the spatio-temporal patterns of Chinese foreign direct investment (FDI) since the inception of the Belt and Road Initiative (BRI) in 2013 as an extended version of geographically weighted regression.Design/methodology/approachThe panel data are used to examine spatial and temporal dynamics of the magnitude and the direction of China's outward FDI stock and its flow from 2011 to 2015 at a country level. Using the geographically and temporally weighted regression (GTWR), spatio-temporal distribution of FDI is explained through Logistic Performance Index, the size of gross domestic product (GDP), Shipping Linear Connectivity Index and Container Port Throughput.FindingsA comparative analysis between participating and non-participating countries in the BRI shows that the size of GDP and Container Port Throughput of the participating countries have a positive effect on the increases of China's outward FDI Stock to Asia especially after 2013, while non-participating countries, such as North America, Western Europe and Western Africa, have no significant effect on it before and after the implementation of the BRI.Research limitations/implicationsThe findings, however, will not necessarily provide insight into the needs of China's outward FDI in certain countries to develop their economy. The findings provide the evidence to inform policy making to help identify the winners and losers of the investment, scale and direction of investment and the key drivers that shape the distributive investment patterns globally.Practical implicationsThe study provides the empirical evidence to inform investment policy and strategic realignment by quantifying scale, direction and drivers that shape the spatio-temporal shifts of China's FDI.Social implicationsThe analysis also guides the Chinese government improve bilateral trade, build infrastructure and business partnerships with preferential countries participating in the BRI.Originality/valueThere is an urgent need to adopt a new perspective to unfold the spatial temporal complexity of FDI that incorporates space and time dependencies, and the drivers of the situated context to model their effects on FDI. The model is based on GTWR and an extended geographically weighted regression (GWR) allowing the simultaneous analysis of spatial and temporal decencies of exploratory variables.
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“一带一路”倡议下中国对外直接投资时空格局建模
本文旨在通过扩展的地理加权回归,探讨自2013年“一带一路”倡议提出以来中国对外直接投资的时空格局。设计/方法/方法面板数据用于在国家层面上检验2011年至2015年中国对外直接投资存量及其流动的规模和方向的时空动态。利用地理和时间加权回归(GTWR),通过物流绩效指数、国内生产总值(GDP)规模、航运线性连通性指数和集装箱港口吞吐量来解释FDI的时空分布。通过对“一带一路”参与国与非参与国的对比分析发现,2013年以后,参与国的GDP规模和集装箱港口吞吐量对中国对亚洲的对外直接投资存量的增长具有正向影响,而北美、西欧和西非等非参与国在“一带一路”实施前后对其没有显著影响。研究的局限性/意义然而,研究结果并不一定能深入了解中国在某些国家发展经济的对外直接投资需求。研究结果为政策制定提供了证据,有助于确定投资的赢家和输家、投资的规模和方向,以及塑造全球分配投资模式的关键驱动因素。本研究通过量化影响中国对外直接投资时空变化的规模、方向和驱动因素,为投资政策和战略调整提供了实证依据。该分析还指导中国政府改善双边贸易,与参与“一带一路”的优惠国家建立基础设施和商业伙伴关系。原创性/价值迫切需要采用新的视角来揭示FDI的时空复杂性,包括时空依赖关系,以及情境驱动因素对FDI影响的模型。该模型基于GTWR和扩展的地理加权回归(GWR),允许同时分析探索性变量的时空变化。
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来源期刊
Journal of International Logistics and Trade
Journal of International Logistics and Trade Business, Management and Accounting-Marketing
CiteScore
2.60
自引率
0.00%
发文量
6
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