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OECD Working Party on International Trade in Goods and Trade in Services Statistics November 2011. Australian Bureau of Statistics Foreign Affiliate Trade in Services. Overview. BoP covers resident to non-resident activity
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OECD Working Party on International Trade in Goods and Trade in Services Statistics November 2011 Australian Bureau of Statistics Foreign Affiliate Trade in Services
Overview • BoP covers resident to non-resident activity • From this perspective, trade by foreign affiliates is considered non-resident • Trade by foreign affiliates important for trade negotiations and understanding reach of an economy
Overview (continued) • Service providers can and do establish overseas presence • The WTO’s General Agreement on Trade in Services (GATS) identifies four “modes of supply” • Wider definition than BoP
ABS Studies • Australian Outward Finance and Insurance Foreign Affiliate Trade, 2009-10 (5485.0) • Australian Outward Foreign Affiliate Trade, 2002-03 (5495.0) • Economic Activity of Foreign Owned Businesses in Australia, 2000-01 (5494.0)
SOFI FATS • Survey of Outward Finance and Insurance Foreign Affiliate Trade in Services (SOFI FATS) • Survey funded by the Australian Department of Foreign Affairs and Trade (DFAT) • Limited Resources • No funding for inwards equivalent
SOFI FATS (continued) • Run in respect of the 2009-10 reference period • only for OUTWARD trade • only for the finance and insurance industry • Survey in 2002-03 identified finance and insurance industry as the largest services industry • Sent to ALL Australian enterprises who may have affiliates overseas that primarily trade in finance and/or insurance
SOFI FATS (continued) • Only affiliates that were controlled by Australian resident enterprises were included (i.e. greater than 50% ownership) • Frame created from a question about direct investment in the International Investment survey. • Direct investment includes all investment where the investor owns 10% or more of total equity capital.
SOFI FATS (continued) • Survey collected data on: • Number of affiliates • Employment, wages and salaries • Sales and purchases of services • Equity and profit • FISIM and GVA data were derived from the data collected
SOFI FATS (continued) • Processing was done using IPS and Microsoft EXCEL • Confidentiality • ABS confidentiality rules • Perturbation • Collapsing cells
The Form • Very detailed • Large provider burden • Asked for Balance sheet information, and detailed profit/loss statements • Electronic and utilised macros • Split between resident/non-resident was key
The Form (continued) • Original plan to send to affiliates, but feedback indicated that parents wished to complete themselves
Results • 30 Australian enterprises with 1,245 finance and insurance affiliates • 70 Countries
Results (continued) • 75,919 staff employed • $6.7 billion in wages and salaries paid. • $71.1 billion in Australian equity • $6.5 billion in profit • New Zealand, United Kingdom and the United States dominated data.
Results (continued) • $39b in finance & insurance sales • FISIM high proportion of total sales • 96% of sales (mode of supply 3) • Shows most activity in host country
Global Financial Crisis Impacts • GFC likely to have impacted profits. • Return on equity 6.8% • Difficult to measure impact • Ratio of income earned to stock down.
Global Financial Crisis Impacts (continued) • Americas only $99 million profit. • Rates of return on equity for each region: • Americas -0.1% • Europe 2.7% • Asia-Pacific 13.2%
2002-03 2009-10 Comparison • Number of affiliates rose from 463 to 1245 (169%) • Sales (excl. FISIM) rose 11% • Purchases (excl. FISIM) rose 150%
Conclusion • Unlikely for a survey like this to be run in near future • Prefer to cover all industries • Prefer to collect both inward and outward • OECD provided useful comments which will be used in future studies
Discussion points • Experience of other countries • Managing expectations from a client-funded survey • Impact of confidentiality • Testing data collection from non-residents • The challenge of presenting asymmetrical views of data