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      The determinants of China’s outward foreign direct investment: a vector error correction model analysis of coastal and landlocked countries

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          Abstract

          An essential objective of China’s outward foreign direct investment (OFDI) is to expand international trade and access to overseas markets to garner resources and improve transportation routes. This study identifies the determinants of China’s OFDI activities in the short and long term, focusing on 138 countries that are part of China’s Belt and Road Initiative (BRI). It is the first study to evaluate the system’s contribution of location determinants, including the four factors of economy, logistics, energy, and politics, to China’s OFDI by employing a vector error correction model with panel data from 2007 to 2019. In addition, we compare the influence of the variables in coastal and landlocked countries. Panel Granger causality and impulse response tests, variance decomposition, and forecast analysis were conducted to analyze and forecast China’ OFDI. The results show that China’s OFDI in both coastal and landlocked countries is statistically sensitive to the variables of economy, energy, logistics, and politics in host countries engaged in the BRI. It also shows that improving logistics infrastructure and the political investment environment in landlocked countries, this can positively attract China’s OFDI.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10644-022-09407-2.

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          Most cited references73

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                Author and article information

                Contributors
                liuyanfeng1379@cau.ac.kr
                marksu@cau.ac.kr
                hgzjj@cau.ac.kr
                sallymartin@cau.ac.kr
                kumfai.yuen@ntu.edu.sg
                cblee@cau.ac.kr
                Journal
                Econ Change Restruct
                Economic Change and Restructuring
                Springer US (New York )
                1573-9414
                1574-0277
                7 May 2022
                : 1-28
                Affiliations
                [1 ]GRID grid.254224.7, ISNI 0000 0001 0789 9563, Department of International Trade and Logistics, , Chung-Ang University, ; 84 Heuk Seok-Dong, Dong jak-Gu, Seoul, South Korea
                [2 ]GRID grid.254224.7, ISNI 0000 0001 0789 9563, Department of Northeast Asian Studies, , Chung-Ang University, ; 84 Heuk Seok-Dong, Dong jak-Gu, Seoul, South Korea
                [3 ]GRID grid.59025.3b, ISNI 0000 0001 2224 0361, School of Civil and Environmental Engineering, , NanYang Technological University, ; 50 Nanyang Avenue, Singapore, Singapore
                Article
                9407
                10.1007/s10644-022-09407-2
                9076501
                b76131c7-4833-4ebd-9460-203908bdcd73
                © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 13 July 2021
                : 4 April 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003566, Ministry of Oceans and Fisheries, Korea;
                Categories
                Article

                ofdi,locational determinants,vec model,auto-arima forecasting,bri

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