Ecological Footprint, Foreign Direct Investment, and Gross Domestic Production: Evidence of Belt & Road Initiative Countries
Hongbo Liu () and
Hanho Kim ()
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Hongbo Liu: Department of Agricultural Economics and Rural Development, Seoul National University, Seoul 08826, Korea
Hanho Kim: Department of Agricultural Economics and Rural Development, Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea
Sustainability, 2018, vol. 10, issue 10, 1-28
This research is employed to examine the environmental issues embedded in Belt & Road Initiative (BRI), to be more specific: testify which of these hypotheses: Pollution Havens Hypothesis, Pollution Halo Hypothesis, Environmental Kuznets Curve is in accordance with the current development condition of BRI counties; whether there exists a bidirectional relationship among Ecological Footprint, Gross Domestic Production, Foreign Direct Investment (FDI) in Belt & Road Initiative countries. In this paper, Panel Vector Autoregression is utilized to analyze a dataset of 44-member countries in this initiative, ranges from 1990 to 2016, to empirically testify the environmental evaluation of this project. Results are analyzed on both long-run and short-run cases through Orthogonalized Impulse-Response Functions (IRF). This research displays a great heterogeneity among different target variables, FDI as a main variable of interest does not expose a bidirectional relationship with Ecological Footprint, only Ecological Footprint demonstrates robust influence on FDI. In addition, Pollution Havens Hypothesis is certified to be true for FDI and GDP among Belt & Road Initiative member countries.
Keywords: Belt & Road Initiative; Ecological Footprint; Foreign Direct Investment (FDI); Panel Vector Autoregression (PVAR); Pollution Havens Hypothesis; Pollution Halo Hypothesis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:10:p:3527-:d:173085
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