Key Details
The ECB study uses sector-level data across 184 economies to show that investment patterns vary significantly across industries, challenging the assumptions embedded in traditional FDI gravity models.
Theme | Key Finding | Policy Significance |
|---|---|---|
Dataset | 184 economies including India, 25 sectors (2010–2020) using the MREID database | One of the most comprehensive sector-level FDI datasets examined |
Methodology | Aggregate, pooled sectoral, and sector-specific gravity models compared | Tests whether national averages conceal sectoral variation |
Core Finding | Distance elasticity varies significantly across sectors | Challenges uniform FDI policy assumptions |
Services Sectors | Distance generally reduces investment | Local presence often remains important |
Key Exception: Logistics & Warehousing | Distance can increase investment | Long supply chains may encourage overseas investment |
FDI Theory | Horizontal and vertical FDI motives frequently overlap | Traditional classifications may be too simplistic |
Policy Message | Sector-specific analysis outperforms aggregate FDI indicators | Supports targeted investment policy design |
Summary
Why the ECB Revisited Traditional FDI Models
The ECB Working Paper FDI, Gravity, and Aggregation—Revisiting the Distance Elasticity with Sector-Level FDI Data examines whether widely used country-level FDI statistics accurately explain how multinational firms invest across borders. Using the Multinational Enterprise Registry for International Development (MREID) database covering 184 economies, 25 sectors, and the period 2010–2020, the study revisits a core assumption of international economics: that greater geographic distance uniformly reduces foreign investment. The research argues that aggregate national indicators may conceal important sector-specific investment patterns.
Testing FDI Through Three Analytical Lenses
To identify these hidden patterns, the researchers compare aggregate country-level models, pooled sectoral models, and fully sector-specific gravity models. This approach allows the study to examine whether distance elasticity—the sensitivity of investment to geographic distance—remains consistent across industries. The findings show that treating all foreign investment as a single category masks substantial variation in how different sectors respond to distance, logistics costs, and market access constraints.
Sector-Level Data Reveals Contrasting Investment Behaviour
The paper finds that distance elasticity varies significantly across sectors. In locally delivered and non-tradable activities such as utilities, transportation, and face-to-face services, greater distance generally reduces investment because firms require a physical presence close to customers. However, the pattern reverses in some sectors. In warehousing and storage, for example, greater distance can encourage foreign investment as multinational enterprises establish overseas logistics facilities to support long-range supply chains. These findings demonstrate that aggregate FDI statistics can obscure important sectoral realities.
Challenging Traditional FDI Classifications
The study also questions the long-standing distinction between horizontal (market-seeking) and vertical (efficiency-seeking) FDI. Rather than fitting neatly into either category, many multinational firms appear to combine multiple investment motives simultaneously. As a result, policies based solely on aggregate FDI trends may fail to capture the factors actually driving investment decisions in specific industries.
Implications for Investment and Industrial Policy
The ECB concludes that governments should complement national investment indicators with sector-level analysiswhen designing investment promotion strategies. Understanding how investment responds to distance, infrastructure quality, logistics requirements, regulatory conditions, and supply-chain structures can improve policy effectiveness. For countries such as India, the findings suggest that attracting foreign capital may require differentiated approaches across manufacturing, logistics, utilities, and services rather than relying on broad, economy-wide investment incentives.
Policy Relevance
The ECB study suggests that foreign investment policies become more effective when they are tailored to sector-specific business realities rather than guided solely by aggregate national FDI trends.
Challenges One-Size-Fits-All Investment Promotion: Sector-specific investment behaviour means that uniform incentive structures may not address the actual constraints faced by different industries.
Strengthens Evidence-Based Industrial Policy: Granular investment analysis can help policymakers identify which sectors require infrastructure, regulatory reforms, logistics support, or market-access improvements.
Improves Investment Targeting Under Production-Linked Strategies: Sector-level insights can help align investment incentives with the distinct needs of manufacturing, logistics, digital services, and emerging technology industries.
Highlights the Importance of Supply-Chain Geography: The finding that distance can sometimes increase investment underscores the growing role of logistics networks and global value chains in shaping capital flows.
Encourages Better Investment Data Systems: More detailed sectoral FDI statistics can improve policy design and provide a clearer picture of how foreign investment contributes to domestic economic development.
Follow the Full Paper Here: FDI, gravity, and aggregation: revisiting the distance elasticity with sector-level FDI data