The empirical evidence suggests that states characterized by perceived institutional
volatility or resource nationalism—notably Myanmar and Indonesia—now face a
significant "political discount" that deters high-quality European FDI.
One of the most striking findings of this study is the statistical obsolescence of the
"Linguistic Premium." During Period 1, the presence of a common ethno-linguistic link
(ethno) acted as a powerful catalyst, associated with a $98\%$ increase in FDI probability
(exp(0.68)-1). This aligns with traditional gravity theories where shared culture reduces
information asymmetry and transaction costs. Conversely, in Period 2, the coefficient for
ethno plummeted to 0.1854 and lost its statistical significance. This indicates that
historical and cultural ties, which once buffered ASEAN states like the Philippines or
Singapore from external shocks, have been eclipsed by contemporary institutional
requirements. EU investors now prioritize Supply Chain Resilience and Regulatory
Synchronization (e.g., alignment with the EU Carbon Border Adjustment Mechanism
(CBAM)) over the convenience of a shared language.
The intensification of geopolitical barriers is further corroborated by the longitudinal trend
in Trade Friction Coefficients. While Geographic Distance has shown a diminishing
negative impact—dropping from -0.0924 to -0.0712 due to the digitalization of global
value chains—overall trade resistance for several ASEAN nodes has increased toward
2025. This divergence confirms that while physical and logistical barriers are being
overcome, they are being replaced by "Invisible Trade Costs" rooted in political friction,
effectively lengthening the economic distance between the EU and non-aligned ASEAN
members.
Comparison by states
The analysis by period assumes (limitation) that the impact of geopolitical distance on
FDI is the same for all countries. However, it may differ individually. Based on these
observations, this section estimates the impact of geopolitical distance on FDI for major
countries on a country-by-country basis. Specifically, the estimation is performed as
follows in Table 3. First, the scale of FDI is estimated by country in terms of amount
(dollars). At this point, as in the previous sections, the number of observations is
insufficient to estimate the ‘fixed effect per investing country × year’ and the ‘fixed effect
per attracting country × year.’ Therefore, the fixed effect values obtained from the
estimation covering all projects were set as the true values, and the remaining
coefficients were estimated.
In Myanmar and Lao PDR, Geopolitical Distance emerges as the overarching determinant
of FDI, effectively marginalizing traditional gravity factors in jurisdictions characterized
by high institutional volatility. The coefficient for IPD is the most severe in our sample (-
0.952). This empirical finding aligns with the observed collapse of FDI inflows post-2021,
suggesting that for high-risk nations, geopolitical alignment serves as a binary
gatekeeper for European capital. While the high geographic friction coefficient (-0.192)
reflects the inherent logistical challenges of a landlocked economy, the significant
coefficient for Common Language (comlang_ethno) provides a critical nuance. It