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Power prices, climate change and ‘going green’:
      changes in the Australian energy market
                           White Paper – August 2011
Power prices, climate change and ‘going green’: changes
                           in the Australian energy market




Abstract


     The retail energy sector has undergone recent extensive change in pricing, regulation and consumption
     patterns. Electricity price rises are slated and approved for the 2012 financial year. Patterns of
     consumption have been influenced by „green guilt‟, an increased spectrum of alternative energy sources,
     and more extensive hardship amongst households battling interest rate rises and price inflation across
     many basic household goods and services.

     This paper looks at how these various changes are modulating demand, provider switching and bill default
     behaviours in the utility sector, with an emphasis on patterns of default in the energy (electricity and gas)
     markets. In particular, the demography of bill defaults is explored, with changing patterns traced across a
     five-year window from 2006 to 2011.

     Several atypical demographic groups are identified as representing a high default risk, and mechanisms
     available to utility companies for default mitigation at each stage in the customer lifecycle are outlined.




                                                                                                 ______

                                                    Page 2
Power prices, climate change and ‘going green’: changes
                                     in the Australian energy market




The Retail Electricity Market

Regulation and privatisation


Substantive changes have occurred in the structure and regulation of the retail electricity market over the last 2
decades. Privatization of electricity assets has progressively occurred in the states of Victoria, South Australia,
parts of Queensland and most recently NSW, bringing an increased element of competition - but also greater profit
motive - into the sector.

Establishment of the National Electricity Market (NEM) for wholesale electricity supply in 2000 has increased price
transparency, whilst a national monitoring and regulatory entity, the Australian Energy Regulator, was incepted in
2005 to drive efficiency through interstate market and pricing integration.



Figure 1: Key milestones in the Australian energy market, 1998 – 2012




Electricity market pricing

                                                                                              1
Inflation adjusted retail electricity prices have increased by 30% since 2006 , reflecting both a rise in real wholesale
electricity costs and the expectation of future costs resulting from Australia‟s 20% Renewable Energy Target (RET)
                                                                                  2
and hypothecated carbon tax. Although still below the OECD average price , the increase in electricity costs to
households has been significant, outpacing CPI and wage growth. As a result, Australian households who are not

1
  Deloitte Access Economics 2011, Assessing the impact of key climate change policies on energy users, report for the Energy Users Association of
Australia, June 2011, pp. ii
2
  Deloitte Access Economics 2011, Assessing the impact of key climate change policies on energy users, report for the Energy Users Association of
Australia, June 2011, pp. 12

                                                                                                                            ______

                                                                    Page 3
Power prices, climate change and ‘going green’: changes
                                    in the Australian energy market




taking direct action to reduce their power consumption have seen power bills consume an increasing slice of the
income pie. Over the last 5 years, the annual increase in electricity prices has been on average, 15 times greater
than for the previous two decades; put another way, electricity prices rose by twice as much between 2007-2010 as
they did for the whole period from 1990 – 2006.



Figure 2: Inflation-adjusted energy prices, 1990 to 2011




Impact of the Sustainability agenda


Another significant source of change in the energy markets emerged from the 2007 federal election. The Rudd
government rode to power on the back of a strong green message, spurring the implementation of further
regulatory commitments towards reduced energy consumption and carbon throughput.

                              A range of emission reduction initiatives have since been implemented at state and
                             commonwealth level. A national Renewable Energy Target (RET) has been set at 20%
                             energy from renewable sources by 2020, placing formal pressure on power generation
                                                                            3
                             companies to drive emission reducing change . Other sustainability initiatives include
                             mandatory BASIX compliance for residential development and subsidies for insulation,
                             solar hot water and photovoltaic panels.

Consumers are also increasingly conscious of the environmental impact of their actions, and this too is altering
energy consumption patterns. "Consumers are making purchase decisions on the back of their concern about

3
 Syed, A, Melanie, J, Thorpe, S and Penney, K 2010, Australian energy projections to 2029-30, ABARE research report 10.02, prepared for the
Department of Resources, Energy and Tourism, Canberra, March.

                                                                                                                       ______

                                                                 Page 4
Power prices, climate change and ‘going green’: changes
                                      in the Australian energy market




climate change and marketers need to take notice,” says Synovate‟s head of media research, Steve Garton.
“People see their purchase decisions as a way to combat the effects of climate change and would undoubtedly be
                                            4
open to green products in most categories”.

And these preferences translate to behaviour – 67% of Australians have purchased an energy efficient device in
the last 12 months, 83% have consciously saved power and 59% have purchased green products instead of
          5
standard.

A number of utility companies have tapped into the sustainability agenda, offering Green Power products and smart
meters to help consumers regulate and restrain their consumption. Several have made significant investment in
renewables to future-proof demand as fossil fuel sources become less palatable to consumers and more expensive
to operate under a carbon taxed pricing regime.


Informed consumers demand more

As more households become online-savvy, price comparison and consumer
watchdog sites are playing a greater role in consumption choices. A quick Google
of “electricity price comparison” produced thirteen unrelated comparison sites and
four government advisory sites, plus forum, blog and wiki posts discussing utility
providers, prices and options.

More informed consumers with heightened price awareness make competing in the utility sector a tougher ask
today than in the past. Australia has the dubious honour of one of the highest residential utility switching rates,
                                                        6
ranging from 11% to 25% per annum by state in 2010 . Switching rates have followed an upward trajectory as new
players enter the market, and this trend is driving increased servicing costs and risk exposure for energy retailers.
In a commoditised and increasingly crowded market, opportunities to reduce the cost associated with non-payment
and customer mobility are becoming increasingly valuable.



Consumer Utility Bill Defaults

The volume of consumer utility bill defaults has followed an upward trajectory for the last 5 years. Whilst an
increase in default was expected during the high interest rate period of „06/07 and the global financial crisis (07/08),
as market fundamentals returned to normal in 09/10 the rational expectation is a reduction in default volume
reflecting economic recovery.

In Australia this has not been the case. Whilst average default amount has remained static relative to inflation, the
volume of defaults has continued to rise. This is an indication that cost of living pressures are becoming a more
salient concern for many sectors of the Australian population. It may also be a reflection of the aggressive
discounting and sales strategies used in Door to Door, telemarketing and „above the line‟ advertising in the
Australian utility sector – this may result in customers switching to a new supplier and leaving unpaid bills for prior


4
  http://www.synovate.com/changeagent/index.php/site/full_story/climate_change_and_consumer_behaviour/
5
  http://www.synovate.com/changeagent/index.php/site/full_story/climate_change_and_consumer_behaviour/
6
  VaasaETT 2010, Utility Customer Switching Research Project: SwitchStats Australia Scheme Report, dated 1 April 2010

                                                                                                                        ______

                                                                      Page 5
Power prices, climate change and ‘going green’: changes
                                                          in the Australian energy market




supply, payment for which is often hard to recoup when the retailer no longer has the threat of disconnection for
leverage.

Figure 3: Electricity bill defaults – volume and average value, from 2006 to 2011.



            35000                                                                                                                                                                                                  $1,000
                                                 # defaults                                                                                                                                                        $900
            30000                                Avg value                                                                                                                                                         $800
            25000                                                                                                                                                                                                  $700

            20000                                                                                                                                                                                                  $600
                                                                                                                                                                                                                   $500
            15000                                                                                                                                                                                                  $400
            10000                                                                                                                                                                                                  $300
                                                                                                                                                                                                                   $200
             5000
                                                                                                                                                                                                                   $100
                  0                                                                                                                                                                                                $-
                      Jul-06


                                        Jan-07


                                                          Jul-07


                                                                            Jan-08


                                                                                              Jul-08


                                                                                                                Jan-09


                                                                                                                                  Jul-09


                                                                                                                                                    Jan-10


                                                                                                                                                                      Jul-10


                                                                                                                                                                                        Jan-11


                                                                                                                                                                                                          Jul-11
                               Oct-06


                                                 Apr-07


                                                                   Oct-07


                                                                                     Apr-08


                                                                                                       Oct-08


                                                                                                                         Apr-09


                                                                                                                                           Oct-09


                                                                                                                                                             Apr-10


                                                                                                                                                                               Oct-10


                                                                                                                                                                                                 Apr-11



Note: Intermittent spikes in default volume reflect intermittent processing or loading of default data by large utility providers.




The average Australian household spends $2,046 per year to cover electricity costs. Whilst low income
households receive some subsidies, recent price hikes mean that those with moderate household - but limited
                                                                                               7
disposable- income are struggling more now than in the past to meet their financial obligations .

                                                                                     Although the pace of debt accumulation has slowed, aggregate household
                                                                                                                                                   8
                                                                                     indebtedness and gearing are at historically high levels. Housing cost
                                                                                     and consumer goods inflation, and upward pressure on interest rates prior
                                                                                     to August 2011, have whittled down discretionary spend margins,
                                                                                     increasing the likelihood that utility price rises will cause payment stress
                                                                                     and ultimately default.

                                                                                     Petrol prices, although a source of much vocal dissatisfaction amongst
                                                                                     consumers, do not have a positive correlation to increased default rates
                                                                                     (see Figure 2).




7
 Australian Institute of Health and Welfare, 2011, Housing Assistance in Australia 2011. Cat. no. HOU 236. Canberra: AIHW.
8
     Reserve Bank of Australia 2010, Household and Business Balance Sheets, sourced 7/08/2011                                                                                                                                        at
http://www.rba.gov.au/publications/fsr/2011/mar/html/house-bus-bal-sheet.html

                                                                                                                                                                                                                            ______

                                                                                                                         Page 6
Power prices, climate change and ‘going green’: changes
                                                    in the Australian energy market




          Figure 4: Relationship between inflation, petrol price, borrowing costs and utility default


             35000                                                                                                                                                                                                   14.0
                                                  # defaults                                                                                  Annual CPI inflation
             30000                                Petrol price ($/L)                                                                          Indicator lending rates                                                12.0

             25000                                                                                                                                                                                                   10.0

             20000                                                                                                                                                                                                   8.0

             15000                                                                                                                                                                                                   6.0

             10000                                                                                                                                                                                                   4.0

               5000                                                                                                                                                                                                  2.0

                   0                                                                                                                                                                                                 0.0
                       Jul-06


                                         Jan-07


                                                           Jul-07


                                                                             Jan-08


                                                                                               Jul-08


                                                                                                                  Jan-09


                                                                                                                                    Jul-09


                                                                                                                                                      Jan-10


                                                                                                                                                                        Jul-10


                                                                                                                                                                                          Jan-11


                                                                                                                                                                                                            Jul-11
                                Oct-06


                                                  Apr-07


                                                                    Oct-07


                                                                                      Apr-08


                                                                                                        Oct-08


                                                                                                                           Apr-09


                                                                                                                                             Oct-09


                                                                                                                                                               Apr-10


                                                                                                                                                                                 Oct-10


                                                                                                                                                                                                   Apr-11

Segments under pressure

The effects of utility price rises are not equitable. As a share of household income,
utility expenditure is 59% higher amongst old age pensioners than the average.
The unemployed (33%) and single parents (26%) also find utilities costs a
disproportionately large burden, paying 33% and 26% respectively above the
average wage to utility cost ratio. These groups traditionally experience bill
                                                                         9
payment stress, and market data indicates that they continue to do so.

The rising cost of living is also taking its toll on highly leveraged households in
more affluent segments of the population, driving increases in non-payment across
formerly „safe‟ demographics. Analysis conducted by Veda examined patterns of
utility bill default by income, household composition, property value and home
ownership.

Results were further filtered by applying Veda‟s Landscape geodemographic segmentation to elicit the
geodemographic characteristics of bill defaulters. Seven clusters of defaulter were identified as sharing common
geodemographic characteristics, including income level, property value and similar lifestage attributes (measured
using Landscape geodemographic profiles).


9
  Dufty, G., 2008, EWOV – Hardship, where are we on the journey? Cost Trends for Essential items – implications for Victorian Households, presentation
to CUAC Consumer Roundtable, October 2008.

                                                                                                                                                                                                                      ______

                                                                                                                 Page 7
Power prices, climate change and ‘going green’: changes
                                 in the Australian energy market




These defaulter clusters can in turn be grouped into three typologies: low-income „strugglers‟, cash-constrained
retirees and highly leveraged urban families. The latter two groups are not typically seen as „risky‟ but have
experienced significant increases in payment difficulty over the last five years resulting in increased propensity to
default.



         Figure 5: Default clusters within the Australian energy market, FY11


  $500
                                                    Struggling
  $480                                              Suburbia (CL2, CL5)
                                              CL5
  $460
                          CL2                                   Cash-strapped
  $440                                                          Retirees (CL3, CL4)
                                                                                          Leveraged young
                                                                                          families (CL1, CL6, CL7)
  $420                                            CL3
                                                                          CL7
  $400                                      CL4
                                                               CL1
  $380
                                                        CL6
  $360
  $340
  $320
  $300
                 Low: <$18,199                                                               High: >$104,000
                                       Household income band



The increased presence of these atypical defaulter cohorts highlights the need for energy retailers to apply
quantitative and behaviour based filtering at point of acquisition and the value of implementing proactive default
management across their existing customer base.



Mitigating Default Risk

A conscious approach to payment risk management across the customer lifecycle can bear significant dividends in
the form of improved retention, reduced servicing costs, and reduction in days outstanding, collections activity and
incidence of bad debt write offs.


Pre-screen and filter acquisition targets

Various targeting and credit risk pre-screening measures can be used to eliminate prospective customers with a
high likelihood of default. Off the shelf credit risk models such as Veda GeoRisk provide a privacy compliant way of
identifying less risky prospect households, or offering risk-appropriate contracts, payment plans and bond levels.

                                                                                                      ______

                                                          Page 8
Power prices, climate change and ‘going green’: changes
                                  in the Australian energy market




Where more precision is required, bureau based pre-screening may be applied to cold prospects, or bespoke
models developed to reflect specific risk policies.

Privacy compliant risk models – both generic and bespoke – can also be used to manage and score inbound
applications, ensuring appropriate bond and contract terms are offered to minimise likelihood of default.


Proactive default management and prevention of bill shock

Energy companies are obliged to offer payment plans to consumers who have been identified as experiencing
financial hardship. Such hardship measures minimise the likelihood of delinquencies resulting in debt write-offs.
However, by taking a proactive approach to hardship measures, utility providers can gain further cost efficiencies.
Risk models and behavioural triggers can be implemented to identify customers „at risk‟ of hardship well in advance
of default behaviour. Pre-emptive measures utility providers can deploy include the proactive offer of payment
plans to potentially risky customers, promoting Smart Meter systems and online usage tracking, and educating
consumers in risky groups about peak/ off peak pricing structures and ways to manage their power costs.


Emphasis on early collections
                             10
A UK study by Bain & Co. suggests that the continued high rate of utility defaults is more symptomatic of lax risk
management procedures on the part of suppliers than on continued affordability stress amongst consumers. In
particular, the report highlights the absence of aggressive early collections activity, which results in a higher
proportion of 60 and 90 day overdue accounts and default write offs. Effective early collections practices reduce the
incidence of debt write offs and also reduce the cost associated with recouping funds through external collection
agencies.



Future outlook

Economists forecast that both wholesale and retail electricity prices will continue to rise across 2011/12 and
2012/13, reflecting the expected imposition of carbon tax, greater investment in renewable source infrastructure
                                                                                     11
and increased cost of network services to support growing consumption demand.
Although consumers are expressing clear intention to reduce their individual consumption levels, the net level of
consumer demand will continue to rise, driven by population growth, increased household formation rates and
smaller average household size.

Unless significant shifts occur in building construction or dwelling size, consumption reductions will only occur on
readily controllable items such as lighting, hot water and air-conditioning use. Coupled with the anticipated retail
price rises, it is improbable that default volume will decline organically – reduction will require proactive debt
management strategies on the part of utility suppliers.


10
   Bain & Company, 2011, Winning good customers, losing bad debt, Bain Brief, published April 7, 2011 sourced at
http://bain.com/publications/articles/winning-good-customers-losing-bad-debt.aspx
11
   Australian Energy Market Commission 2010, Future Possible Retail Electricity Price Movements: 1 July 2010 to 30 June 2011, Final
Report, 30 November 2010, Sydney.

                                                                                                                ______

                                                             Page 9
Power prices, climate change and ‘going green’: changes
                                in the Australian energy market




There are substantial opportunities for energy retailers to boost profitability through effective default risk
management, using the strategies outlined in the previous section. There is also opportunity for retailers to assist
customers in self-selecting appropriate contract and usage patterns to fit their budget. Smart meters, interactive bill
management and alternate payment models such as prepayment, direct debit, flat rate plans or shorter bill cycles,
may provide considerable bottom line benefits when used in conjunction with appropriate risk management tools.



Conclusion

Default risk remains a substantial problem in the Australian energy market, however overseas experiences
illustrate ways in which proactive, data driven customer management can serve as an effective counterpoint. In the
current economic climate, bill defaults are no longer restricted to the stereotypical „risky‟ customer, and the
application of behaviour based risk management tools across the customer lifecycle are essential to ensuring
profitability.

From fully bespoke solutions to off-the-shelf models, there are a host of tools that utility managers can apply to
improve profitability irrespective of budget. If you aren‟t doing it, what‟s your excuse?




Author: Anna Russell, Veda Data Solutions Group

                                  Veda is Australasia’s leading data intelligence and insights company and holds the largest,
                                  most comprehensive pool of consumer and business data across both Australia and New
                                  Zealand. Within Veda, the Data Solutions Group specialises in translating this vast pool of
                                      data into pragmatic and robust marketing tools for campaign management, optimisation,
targeting and analytics. These tools include the Landscape consumer segmentation model, GeoRisk credit risk profiling,
Residential Movers database, and a pool of over 200 geodemographic and behavioural profiling variables.
For further information, visit veda.com.au or email the author on anna.russell@veda.com.au



                                                                                                          ______

                                                         Page 10

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Veda Solutions Group_Utility whitepaper AUG2011

  • 1. Power prices, climate change and ‘going green’: changes in the Australian energy market White Paper – August 2011
  • 2. Power prices, climate change and ‘going green’: changes in the Australian energy market Abstract The retail energy sector has undergone recent extensive change in pricing, regulation and consumption patterns. Electricity price rises are slated and approved for the 2012 financial year. Patterns of consumption have been influenced by „green guilt‟, an increased spectrum of alternative energy sources, and more extensive hardship amongst households battling interest rate rises and price inflation across many basic household goods and services. This paper looks at how these various changes are modulating demand, provider switching and bill default behaviours in the utility sector, with an emphasis on patterns of default in the energy (electricity and gas) markets. In particular, the demography of bill defaults is explored, with changing patterns traced across a five-year window from 2006 to 2011. Several atypical demographic groups are identified as representing a high default risk, and mechanisms available to utility companies for default mitigation at each stage in the customer lifecycle are outlined. ______ Page 2
  • 3. Power prices, climate change and ‘going green’: changes in the Australian energy market The Retail Electricity Market Regulation and privatisation Substantive changes have occurred in the structure and regulation of the retail electricity market over the last 2 decades. Privatization of electricity assets has progressively occurred in the states of Victoria, South Australia, parts of Queensland and most recently NSW, bringing an increased element of competition - but also greater profit motive - into the sector. Establishment of the National Electricity Market (NEM) for wholesale electricity supply in 2000 has increased price transparency, whilst a national monitoring and regulatory entity, the Australian Energy Regulator, was incepted in 2005 to drive efficiency through interstate market and pricing integration. Figure 1: Key milestones in the Australian energy market, 1998 – 2012 Electricity market pricing 1 Inflation adjusted retail electricity prices have increased by 30% since 2006 , reflecting both a rise in real wholesale electricity costs and the expectation of future costs resulting from Australia‟s 20% Renewable Energy Target (RET) 2 and hypothecated carbon tax. Although still below the OECD average price , the increase in electricity costs to households has been significant, outpacing CPI and wage growth. As a result, Australian households who are not 1 Deloitte Access Economics 2011, Assessing the impact of key climate change policies on energy users, report for the Energy Users Association of Australia, June 2011, pp. ii 2 Deloitte Access Economics 2011, Assessing the impact of key climate change policies on energy users, report for the Energy Users Association of Australia, June 2011, pp. 12 ______ Page 3
  • 4. Power prices, climate change and ‘going green’: changes in the Australian energy market taking direct action to reduce their power consumption have seen power bills consume an increasing slice of the income pie. Over the last 5 years, the annual increase in electricity prices has been on average, 15 times greater than for the previous two decades; put another way, electricity prices rose by twice as much between 2007-2010 as they did for the whole period from 1990 – 2006. Figure 2: Inflation-adjusted energy prices, 1990 to 2011 Impact of the Sustainability agenda Another significant source of change in the energy markets emerged from the 2007 federal election. The Rudd government rode to power on the back of a strong green message, spurring the implementation of further regulatory commitments towards reduced energy consumption and carbon throughput. A range of emission reduction initiatives have since been implemented at state and commonwealth level. A national Renewable Energy Target (RET) has been set at 20% energy from renewable sources by 2020, placing formal pressure on power generation 3 companies to drive emission reducing change . Other sustainability initiatives include mandatory BASIX compliance for residential development and subsidies for insulation, solar hot water and photovoltaic panels. Consumers are also increasingly conscious of the environmental impact of their actions, and this too is altering energy consumption patterns. "Consumers are making purchase decisions on the back of their concern about 3 Syed, A, Melanie, J, Thorpe, S and Penney, K 2010, Australian energy projections to 2029-30, ABARE research report 10.02, prepared for the Department of Resources, Energy and Tourism, Canberra, March. ______ Page 4
  • 5. Power prices, climate change and ‘going green’: changes in the Australian energy market climate change and marketers need to take notice,” says Synovate‟s head of media research, Steve Garton. “People see their purchase decisions as a way to combat the effects of climate change and would undoubtedly be 4 open to green products in most categories”. And these preferences translate to behaviour – 67% of Australians have purchased an energy efficient device in the last 12 months, 83% have consciously saved power and 59% have purchased green products instead of 5 standard. A number of utility companies have tapped into the sustainability agenda, offering Green Power products and smart meters to help consumers regulate and restrain their consumption. Several have made significant investment in renewables to future-proof demand as fossil fuel sources become less palatable to consumers and more expensive to operate under a carbon taxed pricing regime. Informed consumers demand more As more households become online-savvy, price comparison and consumer watchdog sites are playing a greater role in consumption choices. A quick Google of “electricity price comparison” produced thirteen unrelated comparison sites and four government advisory sites, plus forum, blog and wiki posts discussing utility providers, prices and options. More informed consumers with heightened price awareness make competing in the utility sector a tougher ask today than in the past. Australia has the dubious honour of one of the highest residential utility switching rates, 6 ranging from 11% to 25% per annum by state in 2010 . Switching rates have followed an upward trajectory as new players enter the market, and this trend is driving increased servicing costs and risk exposure for energy retailers. In a commoditised and increasingly crowded market, opportunities to reduce the cost associated with non-payment and customer mobility are becoming increasingly valuable. Consumer Utility Bill Defaults The volume of consumer utility bill defaults has followed an upward trajectory for the last 5 years. Whilst an increase in default was expected during the high interest rate period of „06/07 and the global financial crisis (07/08), as market fundamentals returned to normal in 09/10 the rational expectation is a reduction in default volume reflecting economic recovery. In Australia this has not been the case. Whilst average default amount has remained static relative to inflation, the volume of defaults has continued to rise. This is an indication that cost of living pressures are becoming a more salient concern for many sectors of the Australian population. It may also be a reflection of the aggressive discounting and sales strategies used in Door to Door, telemarketing and „above the line‟ advertising in the Australian utility sector – this may result in customers switching to a new supplier and leaving unpaid bills for prior 4 http://www.synovate.com/changeagent/index.php/site/full_story/climate_change_and_consumer_behaviour/ 5 http://www.synovate.com/changeagent/index.php/site/full_story/climate_change_and_consumer_behaviour/ 6 VaasaETT 2010, Utility Customer Switching Research Project: SwitchStats Australia Scheme Report, dated 1 April 2010 ______ Page 5
  • 6. Power prices, climate change and ‘going green’: changes in the Australian energy market supply, payment for which is often hard to recoup when the retailer no longer has the threat of disconnection for leverage. Figure 3: Electricity bill defaults – volume and average value, from 2006 to 2011. 35000 $1,000 # defaults $900 30000 Avg value $800 25000 $700 20000 $600 $500 15000 $400 10000 $300 $200 5000 $100 0 $- Jul-06 Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11 Oct-06 Apr-07 Oct-07 Apr-08 Oct-08 Apr-09 Oct-09 Apr-10 Oct-10 Apr-11 Note: Intermittent spikes in default volume reflect intermittent processing or loading of default data by large utility providers. The average Australian household spends $2,046 per year to cover electricity costs. Whilst low income households receive some subsidies, recent price hikes mean that those with moderate household - but limited 7 disposable- income are struggling more now than in the past to meet their financial obligations . Although the pace of debt accumulation has slowed, aggregate household 8 indebtedness and gearing are at historically high levels. Housing cost and consumer goods inflation, and upward pressure on interest rates prior to August 2011, have whittled down discretionary spend margins, increasing the likelihood that utility price rises will cause payment stress and ultimately default. Petrol prices, although a source of much vocal dissatisfaction amongst consumers, do not have a positive correlation to increased default rates (see Figure 2). 7 Australian Institute of Health and Welfare, 2011, Housing Assistance in Australia 2011. Cat. no. HOU 236. Canberra: AIHW. 8 Reserve Bank of Australia 2010, Household and Business Balance Sheets, sourced 7/08/2011 at http://www.rba.gov.au/publications/fsr/2011/mar/html/house-bus-bal-sheet.html ______ Page 6
  • 7. Power prices, climate change and ‘going green’: changes in the Australian energy market Figure 4: Relationship between inflation, petrol price, borrowing costs and utility default 35000 14.0 # defaults Annual CPI inflation 30000 Petrol price ($/L) Indicator lending rates 12.0 25000 10.0 20000 8.0 15000 6.0 10000 4.0 5000 2.0 0 0.0 Jul-06 Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11 Oct-06 Apr-07 Oct-07 Apr-08 Oct-08 Apr-09 Oct-09 Apr-10 Oct-10 Apr-11 Segments under pressure The effects of utility price rises are not equitable. As a share of household income, utility expenditure is 59% higher amongst old age pensioners than the average. The unemployed (33%) and single parents (26%) also find utilities costs a disproportionately large burden, paying 33% and 26% respectively above the average wage to utility cost ratio. These groups traditionally experience bill 9 payment stress, and market data indicates that they continue to do so. The rising cost of living is also taking its toll on highly leveraged households in more affluent segments of the population, driving increases in non-payment across formerly „safe‟ demographics. Analysis conducted by Veda examined patterns of utility bill default by income, household composition, property value and home ownership. Results were further filtered by applying Veda‟s Landscape geodemographic segmentation to elicit the geodemographic characteristics of bill defaulters. Seven clusters of defaulter were identified as sharing common geodemographic characteristics, including income level, property value and similar lifestage attributes (measured using Landscape geodemographic profiles). 9 Dufty, G., 2008, EWOV – Hardship, where are we on the journey? Cost Trends for Essential items – implications for Victorian Households, presentation to CUAC Consumer Roundtable, October 2008. ______ Page 7
  • 8. Power prices, climate change and ‘going green’: changes in the Australian energy market These defaulter clusters can in turn be grouped into three typologies: low-income „strugglers‟, cash-constrained retirees and highly leveraged urban families. The latter two groups are not typically seen as „risky‟ but have experienced significant increases in payment difficulty over the last five years resulting in increased propensity to default. Figure 5: Default clusters within the Australian energy market, FY11 $500 Struggling $480 Suburbia (CL2, CL5) CL5 $460 CL2 Cash-strapped $440 Retirees (CL3, CL4) Leveraged young families (CL1, CL6, CL7) $420 CL3 CL7 $400 CL4 CL1 $380 CL6 $360 $340 $320 $300 Low: <$18,199 High: >$104,000 Household income band The increased presence of these atypical defaulter cohorts highlights the need for energy retailers to apply quantitative and behaviour based filtering at point of acquisition and the value of implementing proactive default management across their existing customer base. Mitigating Default Risk A conscious approach to payment risk management across the customer lifecycle can bear significant dividends in the form of improved retention, reduced servicing costs, and reduction in days outstanding, collections activity and incidence of bad debt write offs. Pre-screen and filter acquisition targets Various targeting and credit risk pre-screening measures can be used to eliminate prospective customers with a high likelihood of default. Off the shelf credit risk models such as Veda GeoRisk provide a privacy compliant way of identifying less risky prospect households, or offering risk-appropriate contracts, payment plans and bond levels. ______ Page 8
  • 9. Power prices, climate change and ‘going green’: changes in the Australian energy market Where more precision is required, bureau based pre-screening may be applied to cold prospects, or bespoke models developed to reflect specific risk policies. Privacy compliant risk models – both generic and bespoke – can also be used to manage and score inbound applications, ensuring appropriate bond and contract terms are offered to minimise likelihood of default. Proactive default management and prevention of bill shock Energy companies are obliged to offer payment plans to consumers who have been identified as experiencing financial hardship. Such hardship measures minimise the likelihood of delinquencies resulting in debt write-offs. However, by taking a proactive approach to hardship measures, utility providers can gain further cost efficiencies. Risk models and behavioural triggers can be implemented to identify customers „at risk‟ of hardship well in advance of default behaviour. Pre-emptive measures utility providers can deploy include the proactive offer of payment plans to potentially risky customers, promoting Smart Meter systems and online usage tracking, and educating consumers in risky groups about peak/ off peak pricing structures and ways to manage their power costs. Emphasis on early collections 10 A UK study by Bain & Co. suggests that the continued high rate of utility defaults is more symptomatic of lax risk management procedures on the part of suppliers than on continued affordability stress amongst consumers. In particular, the report highlights the absence of aggressive early collections activity, which results in a higher proportion of 60 and 90 day overdue accounts and default write offs. Effective early collections practices reduce the incidence of debt write offs and also reduce the cost associated with recouping funds through external collection agencies. Future outlook Economists forecast that both wholesale and retail electricity prices will continue to rise across 2011/12 and 2012/13, reflecting the expected imposition of carbon tax, greater investment in renewable source infrastructure 11 and increased cost of network services to support growing consumption demand. Although consumers are expressing clear intention to reduce their individual consumption levels, the net level of consumer demand will continue to rise, driven by population growth, increased household formation rates and smaller average household size. Unless significant shifts occur in building construction or dwelling size, consumption reductions will only occur on readily controllable items such as lighting, hot water and air-conditioning use. Coupled with the anticipated retail price rises, it is improbable that default volume will decline organically – reduction will require proactive debt management strategies on the part of utility suppliers. 10 Bain & Company, 2011, Winning good customers, losing bad debt, Bain Brief, published April 7, 2011 sourced at http://bain.com/publications/articles/winning-good-customers-losing-bad-debt.aspx 11 Australian Energy Market Commission 2010, Future Possible Retail Electricity Price Movements: 1 July 2010 to 30 June 2011, Final Report, 30 November 2010, Sydney. ______ Page 9
  • 10. Power prices, climate change and ‘going green’: changes in the Australian energy market There are substantial opportunities for energy retailers to boost profitability through effective default risk management, using the strategies outlined in the previous section. There is also opportunity for retailers to assist customers in self-selecting appropriate contract and usage patterns to fit their budget. Smart meters, interactive bill management and alternate payment models such as prepayment, direct debit, flat rate plans or shorter bill cycles, may provide considerable bottom line benefits when used in conjunction with appropriate risk management tools. Conclusion Default risk remains a substantial problem in the Australian energy market, however overseas experiences illustrate ways in which proactive, data driven customer management can serve as an effective counterpoint. In the current economic climate, bill defaults are no longer restricted to the stereotypical „risky‟ customer, and the application of behaviour based risk management tools across the customer lifecycle are essential to ensuring profitability. From fully bespoke solutions to off-the-shelf models, there are a host of tools that utility managers can apply to improve profitability irrespective of budget. If you aren‟t doing it, what‟s your excuse? Author: Anna Russell, Veda Data Solutions Group Veda is Australasia’s leading data intelligence and insights company and holds the largest, most comprehensive pool of consumer and business data across both Australia and New Zealand. Within Veda, the Data Solutions Group specialises in translating this vast pool of data into pragmatic and robust marketing tools for campaign management, optimisation, targeting and analytics. These tools include the Landscape consumer segmentation model, GeoRisk credit risk profiling, Residential Movers database, and a pool of over 200 geodemographic and behavioural profiling variables. For further information, visit veda.com.au or email the author on anna.russell@veda.com.au ______ Page 10