2020
DOI: 10.1016/j.chieco.2020.101428
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Empirical study on location choice of Chinese OFDI

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Cited by 52 publications
(38 citation statements)
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“…Based on our discussions above, similar to the literature ( Tomio and Amal, 2015 ; Zhang and Xu, 2017 ; Ren and Yang, 2020 ), we write our equation based on the traditional gravity model as follows: …”
Section: Data and Econometric Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on our discussions above, similar to the literature ( Tomio and Amal, 2015 ; Zhang and Xu, 2017 ; Ren and Yang, 2020 ), we write our equation based on the traditional gravity model as follows: …”
Section: Data and Econometric Modelmentioning
confidence: 99%
“…We transform the variables other than those for ID and CD into natural logarithms to overcome nonlinearities comparable to the studies that use gravity models to examine the determinants of OFDI (e.g. Buckley et al, 2007 ; Kalotay and Sulstarova, 2010 ; Aybar, 2016 ; Heavilin and Songur, 2017 ; Ren and Yang, 2020 ). Following Aiken et al (1991) , the interactive terms were created by multiplying together the centered values of ID and CD variables.…”
Section: Data and Econometric Modelmentioning
confidence: 99%
“…In the location choice of OFDI, Kang and Jiang [24] grasp the opinion that Chinese companies tend to invest in countries or regions with relatively free economies that have a severe political system. In combination with related works, Ren and Yang [25] state that geographical distance, economic distance, informational distance, and institutional distance may have a significant effect on OFDI. As a matter of fact, the major reasons for Chinese OFDI are the great demand for natural resources and the high environmental pressure China is faced with.…”
Section: Introductionmentioning
confidence: 83%
“…Data were dependent variable that was taken from Ministry of Commerce, China. Our research work includes resource endowment, economic freedom, political risk, and institutional distance as four independent variables (Kang, 2018; Ren & Yang, 2020). Political risk is calculated by using the tabulated values from World Bank's WGI database that includes control of corruption, rule of law, and political stability.…”
Section: Methodsmentioning
confidence: 99%