2020
DOI: 10.3390/su12083135
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Foreign Direct Investment, Natural Resources, Economic Freedom, and Sea-Access: Evidence from the Commonwealth of Independent States

Abstract: This study examines the importance of natural resources, economic freedom, and sea-access in attracting foreign direct investment (FDI) inflows to the Commonwealth of Independent States (CIS), using panel data from 1998 to 2017. The Prais-Winsten regression with panel-corrected standard errors (PCSEs) is employed for all estimations. Feasible Generalized Least Squares (FGLS), Random Effects with Driscoll-Kraay standard errors (RE (D-K)), and Random Effects of Generalized Least Squares (RE (GLS)) estimators are… Show more

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Cited by 27 publications
(18 citation statements)
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“…As economic freedom can affect the host country market environment, it can affect Chinese OFDI decisions ( Economou, 2019 ; Lu et al, 2020 ), that is, as the market environment tolerances of countries with different degrees of economic freedom vary, the host country’s cultural characteristics may also affect Chinese OFDI. The Economic Freedom Index ( EFI ) published by the Heritage Foundation is used to assess the host country’s economic environments.…”
Section: Further Analysismentioning
confidence: 99%
“…As economic freedom can affect the host country market environment, it can affect Chinese OFDI decisions ( Economou, 2019 ; Lu et al, 2020 ), that is, as the market environment tolerances of countries with different degrees of economic freedom vary, the host country’s cultural characteristics may also affect Chinese OFDI. The Economic Freedom Index ( EFI ) published by the Heritage Foundation is used to assess the host country’s economic environments.…”
Section: Further Analysismentioning
confidence: 99%
“…Following the prior studies, such as Le et al (2016), Shakib (2016), Ikpesu et al (2019), andLu et al (2020), this study employs the Panels Corrected Standard Errors (PCSEs) linear regression method developed by Beck and Katz (1995). Both econometric models are specified for first-order autocorrelation AR (1) with panel-specific AR (1) coefficient.…”
Section: Methodsmentioning
confidence: 99%
“…The PCSE estimator is suitable for short-sized panels because it considers finite sample bias while producing panel-corrected standard errors, allowing for heteroscedasticity and correlation within analysis panels (Bailey & Katz, 2011). Recent empirical studies have used the PCSE estimator because it offers a good fit and very robust estimates for studies with similar characteristics to this one (Le & Park, 2021;Lu et al, 2020;Pais-Magalhães et al, 2022).…”
Section: Econometric Approachmentioning
confidence: 99%