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From theory based policy evaluation to
smart policy design: lessons learned from
20 case studies on energy efficiency
improvement
Results from the AID-EE project (Active
Implementation of the proposed Directive on
Energy Efficiency)
Copenhagen April 19, 2006
Lars J. Nilsson, Lund University
AID-EE project
Objectives
1. Reconstruct and analyze the policy
implementation process with the purpose to
identify and explain key factors behind success
and failure of energy efficiency policies
2. Actively disseminate knowledge on
implementation, monitoring and evaluation of
policy instruments across Europe amongst
others through a number of workshops
AID-EE project
Work programme
WP8: Common dissemination activities
WP0:Projectmanagement
WP1: Development of a common framework for assessment of policy instrument
and selection of policy instruments
WP2: Assessment of
selected instruments
in the households and
service sector in the
EU-25
WP3: Assessment of
selected instruments
in the industry sector
in the EU-25
WP4: Assessment of
instruments applied
outside the EU-25, in
other sectors or cross
cutting instruments
WP7: Dissemination actvities
WP5: Overall impact assessment of current policies and potential 'best practice'
policies
WP6: Development of guidelines on monitoring and evaluation and synthesis of
project results
AID-EE project
Approach
•Ex-post evaluation of 20 instruments applied in
different sectors (households, services, industry,
transport) across Europe
•Application of a standardised evaluation
methodology based on the ‘theory based policy
evaluation’, which not only focuses on the final
impact (energy savings) but also on intermediate
indicators
AID-EE project
Policy instruments included
• Voluntary agreement (DK)
• Audit programme (SF)
• Industrial EE network (NO)
• Energy concept for industrial
branches (DE)
• Eco-driving (NL)
• ACEA agreement (EU)
• FEMP (US)
• Top runner approach (JP)
• Advice service (DE/NRW)
• Mandatory targets for network
companies (BL)
• Appliances labelling (NL)
• Building code (NL)
• KfW Building modernisation
programme (DE)
• EEC (UK)
• Local energy advisors (SE)
• Energy+ (EU)
• AirCond-regulation (CH)
• EE Procurement group (SE)
• Energy manager obligation (IT)
• EE investment deduction
scheme (NL)
AID-EE project
Practical approach: 6 steps
1. Characterization of the policy instrument
2. Draw up a policy theory and map out cause-
impact relationships
3. Translate theory to concrete indicators
4. Draw up a flow chart
5. Verify (and adjust) policy theory
6. Collect information to draw-up indicators and
draw conclusions
AID-EE project
Relationship with other
instruments
Cause-Impact Relationship Indicators Success and Fail factors
1. Ministry of Trade (MTI) introduces the
Energy Audit Programme (EAP). Motiva is
the implementing organisation.
2a. Motiva carries out various activities to
promote and support energy auditing.
2b. Promotion campaign to make the EAP
known.
Quality and type of promotion;
awareness of EAP.
Awareness of need of promotion;
good relations with media.
2c. Training and authorisation of auditors.
Quality of training; number of
persons authorised; competence
of auditors.
Not main focus of EAP; auditors
responsible for training.
2d. Development of energy audit models and
auditor's tools.
Quality, relevance and
usefulness of models and tools.
Flexible development; co-
operation with stakeholders; role
of Motiva.
3. Motiva introduces subsidies for energy
audits.
Voluntary Agreement
scheme (introduced
1998).
4. Companies and organisations hire auditors
and energy audits are carried out.
Volume of audits.
Connection to VA scheme; level
of subsidies; active promotion.
5. Saving potentials are identified
Savings potentials in companies
and organisations.
Comprehensive programme;
careful monitoring.
6. Motiva controls the quality of energy
audits
Share of audits that are
controlled; quality of energy
audits.
Tight quality control a conscious
decision.
ESCO programme
(introduced 2000).
7. Companies and organiastions carry out
energy saving measures based on the energy
audits.
Energy saving measures carried
out; amount of energy saved.
Saving measures are voluntary;
economic (and other) incentives
for target groups.
Example: policy theory for the
Finnish Energy Audit Program
AID-EE project
Preliminary results from the AID-EE
project
AID-EE project
Lessons learned (1)
•Smart objectives are good starting point for policy
making but they are not always there:
–Specified: be as concrete as possible, what is aimed for,
who is targeted, what seems the most appropriate
instrument or policy package to achieve the target
–Measurable: objectives have to be measurable to
determine whether results / effects have been achieved at
a later stage
–Acceptable: commitment within the target group
facilitates policy implementation
–Realistic: with respect to desired effect, available budget,
the timeframe, a combination of these
–Timeframe: It should be clear when the result / effect is
to be achieved
AID-EE project
Lessons learned (2)
• In most cases with policy packages it is not possible to isolate the
energy saving impact of a single policy instrument. Each
instrument has its own specific role:
– Creating awareness, setting a standard, showing opportunities,
providing financial means etc.
– This means that the objective / target of an instrument in the
package is not necessarily an energy saving target.
• The interaction of the policy instruments counts up to the total
impact:
– Would the impact still be the same when leaving out one of the
instruments?
• The interaction is dynamic and asks for proper instrument
management:
– e.g. due to increase of eco-tax the payback time of a measure
declines which might lead to an increased amount of free riders in a
subsidy scheme.
– Be critical on the instrument portfolio
AID-EE project
Lessons learned (3)
•Monitoring information is often lacking or is
insufficient to determine the effect and efficiency of
an instrument
–Monitoring does not have priority in the design phase
–The need for monitoring is often not addressed (e.g. by
setting an annual budget for monitoring)
–Because objectives are often not clear and measurable,
monitoring and evaluation becomes difficult.
–An explicit policy theory would facilitate monitoring and
evaluation.
AID-EE project
policy
formulation
policy
implementation
policy
in practice
explicit program
theory
operational
model
(indicators)
monitoring/
evaluation
possible
reformulation/
reorganization
of policies
policy
implementation
How policy theory
can help to
design:
•Smart objectives
•Smart monitoring
protocols
AID-EE project
Preliminary summary conclusions
• Often multiple and mumbled objectives.
• There are policy packages and interplay between instruments.
• Monitoring and verification has been a relatively low priority.
• Organization matters – a clear mission and proper funding
seem important for success.
• Acknowledge the different natures of different instruments.
– The concept of smart objectives is relevant for all types of
instruments, but should be applied differently
– Different instruments ask for different monitoring protocols
• One should take into account relevant differences in:
– Behavioral, cultural, and socio-demographic conditions
– Market structures and policy/regulatory style
– Climatic & geographical conditions
• A policy/program theory approach can guide policy design and
subsequent monitoring and evaluation efforts.
AID-EE project
E4SD reflections - AID-EE implications
•The directive provides much needed impetus for
running a tighter ship.
•Resource acquisition or market transformation –
will only hard kWh’s count towards target?
–Bottom-up quantifiable energy savings from sales data,
participation rates, engineering estimates, M&V, etc.
–Top-down estimated effect of taxes or tariffs from price
elasticities.
–But what is the effect of building declarations,
development of supporting tools, demonstrations,
education, etc?
•Develop ”approved methodologies” in dialogue
with policy owners (cf. CDM Executive Board)?
AID-EE project
Further information:
Lund University, Sweden
Lars J. Nilsson
+46 46 222 4683
email: Lars_J.Nilsson@miljo.lth.se
OR
Project coordinator
Ecofys BV, the Netherlands
Contact person: Mirjam Harmelink
+31 30 2808495, email: M.Harmelink@ecofys.nl
Project website: www.aid-ee.org

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From theory based policy evaluation to smart policy design: lessons learned from 20 cases studies on energy efficiency improvement

  • 1. From theory based policy evaluation to smart policy design: lessons learned from 20 case studies on energy efficiency improvement Results from the AID-EE project (Active Implementation of the proposed Directive on Energy Efficiency) Copenhagen April 19, 2006 Lars J. Nilsson, Lund University
  • 2. AID-EE project Objectives 1. Reconstruct and analyze the policy implementation process with the purpose to identify and explain key factors behind success and failure of energy efficiency policies 2. Actively disseminate knowledge on implementation, monitoring and evaluation of policy instruments across Europe amongst others through a number of workshops
  • 3. AID-EE project Work programme WP8: Common dissemination activities WP0:Projectmanagement WP1: Development of a common framework for assessment of policy instrument and selection of policy instruments WP2: Assessment of selected instruments in the households and service sector in the EU-25 WP3: Assessment of selected instruments in the industry sector in the EU-25 WP4: Assessment of instruments applied outside the EU-25, in other sectors or cross cutting instruments WP7: Dissemination actvities WP5: Overall impact assessment of current policies and potential 'best practice' policies WP6: Development of guidelines on monitoring and evaluation and synthesis of project results
  • 4. AID-EE project Approach •Ex-post evaluation of 20 instruments applied in different sectors (households, services, industry, transport) across Europe •Application of a standardised evaluation methodology based on the ‘theory based policy evaluation’, which not only focuses on the final impact (energy savings) but also on intermediate indicators
  • 5. AID-EE project Policy instruments included • Voluntary agreement (DK) • Audit programme (SF) • Industrial EE network (NO) • Energy concept for industrial branches (DE) • Eco-driving (NL) • ACEA agreement (EU) • FEMP (US) • Top runner approach (JP) • Advice service (DE/NRW) • Mandatory targets for network companies (BL) • Appliances labelling (NL) • Building code (NL) • KfW Building modernisation programme (DE) • EEC (UK) • Local energy advisors (SE) • Energy+ (EU) • AirCond-regulation (CH) • EE Procurement group (SE) • Energy manager obligation (IT) • EE investment deduction scheme (NL)
  • 6. AID-EE project Practical approach: 6 steps 1. Characterization of the policy instrument 2. Draw up a policy theory and map out cause- impact relationships 3. Translate theory to concrete indicators 4. Draw up a flow chart 5. Verify (and adjust) policy theory 6. Collect information to draw-up indicators and draw conclusions
  • 7. AID-EE project Relationship with other instruments Cause-Impact Relationship Indicators Success and Fail factors 1. Ministry of Trade (MTI) introduces the Energy Audit Programme (EAP). Motiva is the implementing organisation. 2a. Motiva carries out various activities to promote and support energy auditing. 2b. Promotion campaign to make the EAP known. Quality and type of promotion; awareness of EAP. Awareness of need of promotion; good relations with media. 2c. Training and authorisation of auditors. Quality of training; number of persons authorised; competence of auditors. Not main focus of EAP; auditors responsible for training. 2d. Development of energy audit models and auditor's tools. Quality, relevance and usefulness of models and tools. Flexible development; co- operation with stakeholders; role of Motiva. 3. Motiva introduces subsidies for energy audits. Voluntary Agreement scheme (introduced 1998). 4. Companies and organisations hire auditors and energy audits are carried out. Volume of audits. Connection to VA scheme; level of subsidies; active promotion. 5. Saving potentials are identified Savings potentials in companies and organisations. Comprehensive programme; careful monitoring. 6. Motiva controls the quality of energy audits Share of audits that are controlled; quality of energy audits. Tight quality control a conscious decision. ESCO programme (introduced 2000). 7. Companies and organiastions carry out energy saving measures based on the energy audits. Energy saving measures carried out; amount of energy saved. Saving measures are voluntary; economic (and other) incentives for target groups. Example: policy theory for the Finnish Energy Audit Program
  • 8. AID-EE project Preliminary results from the AID-EE project
  • 9. AID-EE project Lessons learned (1) •Smart objectives are good starting point for policy making but they are not always there: –Specified: be as concrete as possible, what is aimed for, who is targeted, what seems the most appropriate instrument or policy package to achieve the target –Measurable: objectives have to be measurable to determine whether results / effects have been achieved at a later stage –Acceptable: commitment within the target group facilitates policy implementation –Realistic: with respect to desired effect, available budget, the timeframe, a combination of these –Timeframe: It should be clear when the result / effect is to be achieved
  • 10. AID-EE project Lessons learned (2) • In most cases with policy packages it is not possible to isolate the energy saving impact of a single policy instrument. Each instrument has its own specific role: – Creating awareness, setting a standard, showing opportunities, providing financial means etc. – This means that the objective / target of an instrument in the package is not necessarily an energy saving target. • The interaction of the policy instruments counts up to the total impact: – Would the impact still be the same when leaving out one of the instruments? • The interaction is dynamic and asks for proper instrument management: – e.g. due to increase of eco-tax the payback time of a measure declines which might lead to an increased amount of free riders in a subsidy scheme. – Be critical on the instrument portfolio
  • 11. AID-EE project Lessons learned (3) •Monitoring information is often lacking or is insufficient to determine the effect and efficiency of an instrument –Monitoring does not have priority in the design phase –The need for monitoring is often not addressed (e.g. by setting an annual budget for monitoring) –Because objectives are often not clear and measurable, monitoring and evaluation becomes difficult. –An explicit policy theory would facilitate monitoring and evaluation.
  • 12. AID-EE project policy formulation policy implementation policy in practice explicit program theory operational model (indicators) monitoring/ evaluation possible reformulation/ reorganization of policies policy implementation How policy theory can help to design: •Smart objectives •Smart monitoring protocols
  • 13. AID-EE project Preliminary summary conclusions • Often multiple and mumbled objectives. • There are policy packages and interplay between instruments. • Monitoring and verification has been a relatively low priority. • Organization matters – a clear mission and proper funding seem important for success. • Acknowledge the different natures of different instruments. – The concept of smart objectives is relevant for all types of instruments, but should be applied differently – Different instruments ask for different monitoring protocols • One should take into account relevant differences in: – Behavioral, cultural, and socio-demographic conditions – Market structures and policy/regulatory style – Climatic & geographical conditions • A policy/program theory approach can guide policy design and subsequent monitoring and evaluation efforts.
  • 14. AID-EE project E4SD reflections - AID-EE implications •The directive provides much needed impetus for running a tighter ship. •Resource acquisition or market transformation – will only hard kWh’s count towards target? –Bottom-up quantifiable energy savings from sales data, participation rates, engineering estimates, M&V, etc. –Top-down estimated effect of taxes or tariffs from price elasticities. –But what is the effect of building declarations, development of supporting tools, demonstrations, education, etc? •Develop ”approved methodologies” in dialogue with policy owners (cf. CDM Executive Board)?
  • 15. AID-EE project Further information: Lund University, Sweden Lars J. Nilsson +46 46 222 4683 email: Lars_J.Nilsson@miljo.lth.se OR Project coordinator Ecofys BV, the Netherlands Contact person: Mirjam Harmelink +31 30 2808495, email: M.Harmelink@ecofys.nl Project website: www.aid-ee.org