2015年-IMF国际货币组织全球_Singapore_Selected_Issues_18页_458kb

Singapore's Trade Elasticities: A Disaggregated Look into the Role of Global Value Chains and Complexity

Core Content

This document analyzes Singapore's trade elasticities in the context of global value chains (GVCs) and economic complexity. It provides a detailed empirical study using highly disaggregated data from the UN Comtrade Database, covering 1989–2013, to understand how trade volumes respond to changes in relative prices and demand.

Main Views and Key Information

Economic Structure and Trade Orientation

• Singapore is a highly open economy, with trade (exports + imports) accounting for about 350% of GDP.
• Its economy is export-oriented, with net exports representing around 24.4% of GDP in 2014.
• Approximately 70% of industries contributing to 67% of total output are export-oriented.
• Most industries rely heavily on imported inputs, with the petroleum products industry being the most import-intensive.
• There is a negative relationship between export orientation and the labor share in value added.

Trade Elasticities

• Export Elasticities:
  • Average price elasticity is -0.24, and average demand elasticity is 0.68.
  • There is significant variation in elasticities across product groups.
  • Price elasticity ranges from 0 to -0.8, while demand elasticity ranges from 0 to 2.5.
• Import Elasticities:
  • Average price elasticity is -1.1, and average income elasticity is 0.32.
  • Import volumes are more sensitive to price changes in food-related categories.
  • Some consumption goods, like perfumes and pharmaceuticals, show higher demand elasticity.

Product and Industry Heterogeneity

• Trade elasticities vary significantly based on product and industry characteristics.
• Economic Complexity:
  • Higher complexity is associated with lower export price elasticity.
  • This relationship is stronger in certain product groups like machinery, computers, and pharmaceuticals.
  • Economic complexity is measured by the number of countries exporting the product and the diversity of those countries' exports.
• Global Value Chains (GVCs):
  • Products used as inputs in exports show higher price elasticity.
  • The degree of import leakage (i.e., how much of an imported product is used in exports) affects import elasticities.

Empirical Findings

• Export Elasticities by Product Group:
  • Machinery, computers, and related products (HS 84) show price elasticity of -0.513 and demand elasticity of -0.933.
  • Electrical machinery and telecommunications equipment (HS 85) show price elasticity of -0.510 and demand elasticity of 0.169.
  • Pharmaceuticals show price elasticity of -0.656 and demand elasticity of 0.0996.
• Import Elasticities by Product Group:
  • Heavy manufacturing (e.g., ships, aircraft) has low price elasticity.
  • Food-related categories (e.g., sugar, meat) are more sensitive to price changes.
  • The share of domestic value-added in exports is linked to higher price elasticity and lower demand elasticity.

Methodology

• Trade elasticities are estimated using the Mean Group estimator, allowing for product-specific fixed effects.
• The analysis uses 6-digit HS code data to capture detailed product-level heterogeneity.
• Economic complexity and domestic value-added share are used as explanatory variables in the regression models.
• The study accounts for the role of GVCs by analyzing the extent to which imported products are used in exports.

Key Results

• More upstream products (with higher domestic value-added share) tend to be more price elastic.
• Economic complexity is negatively correlated with export price elasticity.
• The use of imported products in exports has a magnifying effect on import price elasticity.
• The interaction between economic complexity and relative price or demand affects trade elasticities differently across product groups.
• The domestic value-added share is positively correlated with export price elasticity and negatively correlated with export demand elasticity.

Conclusion

• Singapore's trade elasticities are influenced by the structure of its global value chain integration and the complexity of its exports.
• The study underscores the importance of using detailed product-level data to understand the heterogeneity in trade responses.
• These findings are crucial for monetary policy formulation, as they highlight how exchange rate changes affect different sectors differently.