2014年-WTO世界贸易组织_A_New_Look_at_the_Extensive_Trade_Margin_Effects_of_Trade_Facilitation_52页_625kb

Summary of "A New Look at the Extensive Trade Margin Effects of Trade Facilitation"

Core Content

This paper investigates the impact of trade facilitation on the extensive margins of trade, which refer to the number of products exported to a destination and the number of export destinations served by a product. The study uses the OECD Trade Facilitation Indicators (TFIs), which closely align with the WTO Trade Facilitation Agreement (negotiated in 2013), to estimate these effects.

The authors propose a novel identification strategy that focuses on new products and new destinations to address endogeneity and reverse causality issues. By using only products or destinations that were previously not traded, they aim to isolate the causal effect of trade facilitation on expanding trade margins.

Main Views

1. Trade Facilitation and Trade Margins

• Trade facilitation is positively correlated with both the number of products exported to a destination and the number of destinations served by a product.
• Trade facilitation can expand existing trade flows (intensive margin) and create new trade flows (extensive margin).
• The extensive margin effect is particularly important because it allows exporters to diversify their product and market portfolios, reducing exposure to trade shocks.

2. Empirical Methodology

• The study employs gravity models and Poisson regression to estimate the relationship between trade facilitation and trade margins.
• Two types of trade margins are considered:
  • $ npd_{ij} $: Number of products exported from country $ i $ to country $ j $.
  • $ ndp_{ik} $: Number of export destinations served by product $ k $ from country $ i $.
• The econometric model includes:
  • Country-specific variables: GDP, market access, number of PTAs, area, and landlocked status.
  • Bilateral gravity variables: GDP product, PTA status, distance, common border, and common language.
  • Multilateral resistance terms: Constructed using the methodology from Baier and Bergstrand (2009).
  • Importer and country-pair fixed effects to control for unobserved heterogeneity.

3. Causality and Identification

• The paper addresses causality concerns by using new products and new destinations as the dependent variables.
• This approach helps reduce endogeneity by focusing on trade that occurred after the implementation of trade facilitation measures.
• The results are robust to alternative specifications of trade margins and trade facilitation indicators, as well as different estimation methods.

Key Information

4.1 Results from $ ij $ Regressions

• The coefficient $ \beta_0 $ on trade facilitation indicators is positive and statistically significant in both OLS and Poisson regressions.
• In the OLS model, a 1% increase in trade facilitation is associated with a 0.3% increase in the number of products exported to a destination.
• The distance elasticity is in line with previous gravity studies, and the Poisson model yields a lower elasticity, which is expected due to the nature of count data models.
• The preferred specification uses country-pair fixed effects, which yields a higher coefficient than the importer fixed effects model.

4.2 Simulation Scenarios

• The paper simulates the effect of trade facilitation reforms under two scenarios:
  1. Countries below the regional median of trade facilitation move to that level.
  2. Countries below the global median of trade facilitation move to that level.
• These simulations quantify the potential gains in trade margins from such reforms.

5. Alternative Approaches

• The authors also consider alternative measures of trade facilitation, such as the Principal Component Analysis (PCA) approach.
• They test for heterogeneity in the effects of trade facilitation across country pairs and sectors.
• The inclusion of control variables (such as tariffs, distance, and PTA status) helps to isolate the effect of trade facilitation.

6. Data and Descriptive Statistics

• The data is sourced from UN-COMTRADE, OECD TFIs, and WTO databases.
• Descriptive statistics show significant variation in trade margins and trade facilitation indicators across World Bank regions.
• Sub-Saharan Africa has the lowest trade facilitation scores and the lowest number of export destinations, while East Asia and Pacific and South Asia have the highest.
• The incidence of zero exports is highest in Sub-Saharan Africa, indicating limited market access and trade diversification.

Conclusion

• The study provides empirical evidence that trade facilitation has a positive causal effect on the extensive margins of trade.
• It highlights the importance of reducing trade costs and improving trade procedures to expand trade opportunities.
• The results support the WTO's Trade Facilitation Agreement, suggesting that reforms can lead to substantial gains in trade volume and export diversification.
• The identification strategy using new products and destinations is a novel contribution to the literature on trade facilitation and trade margins.