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OECD Hearing
11 June 2021
John Small, NZ Commerce Commission
Measuring Market Competition –
the NZ Perspective
Outline
• Context for the analysis
o Broad rather than deep
• Data and Methods
o What is feasible, given the data?
• Methods we used
o Strengths and weaknesses
• Applications for the results
o Current and potential
2
Broad rather than deep context
3
• Deep – merger and RTP analysis
• Question:
• How does competition work here?
• Measures/methods:
• Market definition /constraint
analysis
• Diversion ratios
• Residual demand elasticities
• Structural indicators
• Entry/expansion barriers
• Question:
• Broad - Market scanning
• Which sectors should we
worry about?
• Measures/methods:
• Conduct indicators
• Sector role in economy
• Scale
• Forward/backward linkages
Data dictate methods
4
• For the whole NZ economy, we have access to firm level
data:
o Statistics NZ
– Employees, revenue, costs, lines of business
o Inland Revenue (Tax) department
– Quarterly (GST) and annual financial reports
• These data sets can be matched at the firm level, but:
o Industry classifications are not anti-trust markets
– So structural indicators are unreliable
o Accounting costs are not economic costs
– So margin indicators are preferred to profit indicators
We used 2 measures
5
• Price-Cost Margin (Lerner Index)
o Prices are averages derived
from each firm’s reports to
StatsNZ (revenue/volume)
o Costs are variable costs, so
generally higher than SRMC
and likely involving some cost
allocation
o Available annually (2001-16)
• Profit Elasticity (Boone Indicator)
o Firm-level profit change (%)
from a 1% change in variable
cost
o Includes any effect from
entry/exit
o More negative values indicate
stronger competition (+ve
values a very bad sign)
o Needs regression over time, so
only two estimates (2001-08
and 2009-16)
Commerce Commission analysis
Change in normalised competition indicator by industry
(indicators are normalised by being transformed on a scale of 0 to 100)
6
Source: Commerce Commission analysis, data from Richard
Fabling and Dave Maré
Interpretation of Results – Two Levels
• Competition interpretation
o Different sectors are highlighted by different measures
– Consistent signals across measures likely to be more
reliable
– And/but further investigation is needed
• Broader economic interpretation
o Weak competition is a bigger problem when the sector is
– Relatively large; and
– Not primarily an exporter
7
Applications – actual and potential
• Guiding a more proactive competition enforcement stance
o Ideally, we would be able to target sectors with weak
competition
– Rather than waiting for eg leniency applications
• Directing our market study resources
o New function for us, and can only handle 1 per year
– So we need to pick the sectors with biggest potential for
improvement
• Demonstrating our value
o Constant pressure to measure the difference we make
– This is potentially a complement to the GEF business survey results
we currently use
8

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Methodologies to Measure Market Competition – NEW-ZEALAND – June 2021 OECD discussion

  • 1. OECD Hearing 11 June 2021 John Small, NZ Commerce Commission Measuring Market Competition – the NZ Perspective
  • 2. Outline • Context for the analysis o Broad rather than deep • Data and Methods o What is feasible, given the data? • Methods we used o Strengths and weaknesses • Applications for the results o Current and potential 2
  • 3. Broad rather than deep context 3 • Deep – merger and RTP analysis • Question: • How does competition work here? • Measures/methods: • Market definition /constraint analysis • Diversion ratios • Residual demand elasticities • Structural indicators • Entry/expansion barriers • Question: • Broad - Market scanning • Which sectors should we worry about? • Measures/methods: • Conduct indicators • Sector role in economy • Scale • Forward/backward linkages
  • 4. Data dictate methods 4 • For the whole NZ economy, we have access to firm level data: o Statistics NZ – Employees, revenue, costs, lines of business o Inland Revenue (Tax) department – Quarterly (GST) and annual financial reports • These data sets can be matched at the firm level, but: o Industry classifications are not anti-trust markets – So structural indicators are unreliable o Accounting costs are not economic costs – So margin indicators are preferred to profit indicators
  • 5. We used 2 measures 5 • Price-Cost Margin (Lerner Index) o Prices are averages derived from each firm’s reports to StatsNZ (revenue/volume) o Costs are variable costs, so generally higher than SRMC and likely involving some cost allocation o Available annually (2001-16) • Profit Elasticity (Boone Indicator) o Firm-level profit change (%) from a 1% change in variable cost o Includes any effect from entry/exit o More negative values indicate stronger competition (+ve values a very bad sign) o Needs regression over time, so only two estimates (2001-08 and 2009-16)
  • 6. Commerce Commission analysis Change in normalised competition indicator by industry (indicators are normalised by being transformed on a scale of 0 to 100) 6 Source: Commerce Commission analysis, data from Richard Fabling and Dave Maré
  • 7. Interpretation of Results – Two Levels • Competition interpretation o Different sectors are highlighted by different measures – Consistent signals across measures likely to be more reliable – And/but further investigation is needed • Broader economic interpretation o Weak competition is a bigger problem when the sector is – Relatively large; and – Not primarily an exporter 7
  • 8. Applications – actual and potential • Guiding a more proactive competition enforcement stance o Ideally, we would be able to target sectors with weak competition – Rather than waiting for eg leniency applications • Directing our market study resources o New function for us, and can only handle 1 per year – So we need to pick the sectors with biggest potential for improvement • Demonstrating our value o Constant pressure to measure the difference we make – This is potentially a complement to the GEF business survey results we currently use 8