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Stringent policy control and effective negotiated
environmental agreements: counterproductive forces?
R. Bracke and M. De ClercqR. Bracke and M. De Clercq
Content
IntroductionIntroduction The modelThe model Policy implicationsPolicy implications ConclusionsConclusions
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
HARD LAW
• regulations
• market based instruments
• Unilateral commitments
• voluntary schemes
• Negotiated agreements
SOFT LAW
Trends in instrument use
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Voluntary approaches
Unilateralcommitments
Voluntary schemes
Negotiated agreements
EMS
C&C MBI
Labels
Environmental policy instruments
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Policy process
regulator
companies companies
regulator
TOP DOWN
Based on coercion
CO-OPERATION
Based on partnership
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
NEA enthusiasm
““Environmental agreements have an Environmental agreements have an important important role to playrole to play within the mix of policy instruments within the mix of policy instruments sought by the Commission” (EC, 1996)sought by the Commission” (EC, 1996)
““The increase in the use of voluntary approaches The increase in the use of voluntary approaches since the beginning of the 1990s is mainly due to since the beginning of the 1990s is mainly due to the the favourable attitude of both industry and favourable attitude of both industry and public authoritiespublic authorities towards these instruments” towards these instruments” (OECD, 1999)(OECD, 1999)
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
NEA evaluations
““environmental effectiveness of negotiated environmental effectiveness of negotiated agreements appears agreements appears rather modestrather modest” (OECD, 1999)” (OECD, 1999)
““negotated agreements seem to negotated agreements seem to perform poorlyperform poorly due due to non-enforceable commitments, poor monitoring to non-enforceable commitments, poor monitoring and lack of transparency” (OECD, 1999)and lack of transparency” (OECD, 1999)
““It is very difficult to draw general conclusions about It is very difficult to draw general conclusions about the environmental effectiveness of EAs” (EEA 1997)the environmental effectiveness of EAs” (EEA 1997)
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Policy recommendations
Background legislative threat (policy mix)Background legislative threat (policy mix) Strengtening the desing of NEAStrengtening the desing of NEA
Quantified targetsQuantified targets monitoringmonitoring Control and enforcementControl and enforcement Sanctions for non-complianceSanctions for non-compliance
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Legislative Threat
The legislative threat option has been ginven much The legislative threat option has been ginven much attention in the literature but attention in the literature but Executive (environmental agency) versus Executive (environmental agency) versus
legislative powerlegislative power Agreements are especially interesting policy Agreements are especially interesting policy
instruments where instruments where other instruments are not other instruments are not feasiblefeasible (e.g. economic or political motivations) (e.g. economic or political motivations)
Integrating a legislative instrument may tackle Integrating a legislative instrument may tackle the advantage of the advantage of fast and flexible policyfast and flexible policy making making by negotiated agreementsby negotiated agreements
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Control and enforcement policy
Gentleman’s agreementsGentleman’s agreements
non-binding agreements that non-binding agreements that do not provide for sanctions do not provide for sanctions in case of non-compliance in case of non-compliance
(ELNI, 1998). (ELNI, 1998).
vague non-quantified targets vague non-quantified targets and no credible and efficient and no credible and efficient
monitoring and reporting monitoring and reporting requirementsrequirements (OECD, 1999) (OECD, 1999)
Binding agreements
Second generation agreements with
quantified targets, strong provisions concerning monitoring, control,
enforcement…. Concluded in a policy
framework
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Examples guidelinesguidelines
EC, 1996 ‘Communication…’EC, 1996 ‘Communication…’ OECD, 1999OECD, 1999
Legal frameworkLegal framework Flanders (1994)Flanders (1994) Denmark (1992)Denmark (1992)
Administrative guidelinesAdministrative guidelines The Netherlands (1996, updated 2003)The Netherlands (1996, updated 2003) Portugal (1995)Portugal (1995)
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Policy outcome
Denmark: only 1 agreementDenmark: only 1 agreement
Flanders: (only) 7 agreements in 10 years Flanders: (only) 7 agreements in 10 years time (long and difficult negotiation phase; 2 time (long and difficult negotiation phase; 2 outside the framework)outside the framework)
Netherlands and Portugal considered more Netherlands and Portugal considered more successfulsuccessful
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Aim of the paper
Develop a simple model to analyse the Develop a simple model to analyse the impact of a more “stringent control and impact of a more “stringent control and enforcement policy” on the enforcement policy” on the acceptanceacceptance and and compliancecompliance decision decision
First time the compliance decision is First time the compliance decision is taken into accounttaken into account
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
The setting: pollution abatement
0 ≤ L ≤ M: Pareto-optimal pollution 0 ≤ L ≤ M: Pareto-optimal pollution reduction level (level in case of legislative reduction level (level in case of legislative intervention)intervention)
0 ≤ α ≤ M: pollution reduction level of an 0 ≤ α ≤ M: pollution reduction level of an environmental agreementenvironmental agreement
Linear abatement costs C(α) = xαLinear abatement costs C(α) = xα
M0
L
α
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Decision tree
acceptanceNon-acceptance
Non-compliance compliance
pC(L)
cF C(α)Abatement cost for αPossibility of being fined
Possibility of abatement cost for L
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Uncertainty When the When the acceptance decisionacceptance decision has to be made, there is has to be made, there is
uncertaintyuncertainty about the compliance decision (e.g. new about the compliance decision (e.g. new abatement technology, price of emission credits, profit abatement technology, price of emission credits, profit levels, strictness of control…)levels, strictness of control…)
Here we assume there is no uncertainty about the Here we assume there is no uncertainty about the abatement cost, but only uncertainty about the abatement cost, but only uncertainty about the futurefuture ability/willingness to pay the abatement cost ability/willingness to pay the abatement cost (future (future profit levels are uncertain and exogenous)profit levels are uncertain and exogenous)
Thus acceptance decision taken with imperfect Thus acceptance decision taken with imperfect information; compliance decision taken with perfect information; compliance decision taken with perfect informationinformation
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Acceptance decision
Acceptance if the expected cost of non-acceptance is Acceptance if the expected cost of non-acceptance is higher than or equals the expected acceptance cost or ifhigher than or equals the expected acceptance cost or if
WithWith α/M being the chance of non-complianceα/M being the chance of non-compliance 1-(α/M) being the chance of compliance1-(α/M) being the chance of compliance
(the higher the target α, the higher the chance of non-(the higher the target α, the higher the chance of non-compliance and vice versa)compliance and vice versa)
cFM
CM
LpC
)()1()(
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Expected acceptance cost
cFM
CM
C
)()1(
αMM/2
Mx/4
cF
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Expected acceptance cost curve
cF
M αx
cFM
22
Cα
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Expected acceptance cost curve The expected acceptance cost curve always has a The expected acceptance cost curve always has a
downward sloping partdownward sloping part if if
This implies that the cost for non-compliance This implies that the cost for non-compliance should be below the abatement cost for achieving should be below the abatement cost for achieving a zero pollution level (acceptable condition)a zero pollution level (acceptable condition)
Downward sloping part is explained by the fact Downward sloping part is explained by the fact that the that the decline in expected abatement costdecline in expected abatement cost is not is not completely compensated by the completely compensated by the increase in the increase in the expected non-compliance costexpected non-compliance cost
xMcF
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Compliance decision
Decision with perfect informationDecision with perfect information Compliance if the abatement cost is below Compliance if the abatement cost is below
the non-compliance cost or ifthe non-compliance cost or if
F instead of fine think of loss of confidence F instead of fine think of loss of confidence from authorities, public image, from authorities, public image, administrative trouble… administrative trouble…
cFC )(
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Compliance decision
αM
cF
cF/x
C(α)
Cα
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Policy options
Background legislative pressure (p): Background legislative pressure (p): only influences the acceptance decisiononly influences the acceptance decision Higher p leads to a larger range of acceptable Higher p leads to a larger range of acceptable
agreementsagreements Control and enforcement regime (c):Control and enforcement regime (c):
Higher c leads to a higher compliance rangeHigher c leads to a higher compliance range But decreases the range of acceptable agreements But decreases the range of acceptable agreements
(increases the expected acceptance cost)(increases the expected acceptance cost)
counterproductive effectcounterproductive effect
Evaluation indicators
Acceptance rate (AR)Acceptance rate (AR): percentage of agreements : percentage of agreements of all possible agreements that will be acceptedof all possible agreements that will be accepted
Compliance rate (CR)Compliance rate (CR): percentage of agreements : percentage of agreements of all acceptable agreements that will be complied of all acceptable agreements that will be complied withwith Compliance range: percentage of agreements of Compliance range: percentage of agreements of
all possible agreements that will be complied all possible agreements that will be complied with (acceptance rate = acceptance range)with (acceptance rate = acceptance range)
Successful agreementSuccessful agreement: agreement that is : agreement that is accepted and will be complied withaccepted and will be complied with
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Three settings
The impact of the policy change depends on The impact of the policy change depends on the initial level of p and cthe initial level of p and c
Three settings will be distinguishedThree settings will be distinguished Legislative threat = E(non-compliance cost)Legislative threat = E(non-compliance cost) Legislative threat < E(non-compliance cost)Legislative threat < E(non-compliance cost) Legislative threat > E(non-compliance cost)Legislative threat > E(non-compliance cost)
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Evaluation of setting (1)
Acceptance range = compliance rangeAcceptance range = compliance range Compliance rate = 100%Compliance rate = 100% (no unexploited (no unexploited
agreements)agreements)
Distinction between ‘sanction’ for non-Distinction between ‘sanction’ for non-acceptance and non-compliance is acceptance and non-compliance is redundant and we arrive at the analysis of redundant and we arrive at the analysis of Segerson and Miceli (1998 in JEE&M)Segerson and Miceli (1998 in JEE&M)
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Policy options in setting (1)
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
pp cc
AcceptanceAcceptance RateRate ++ --
compliancecompliance RangeRange == ++
Rate Rate (100%)(100%)
<100%<100% ==
Evaluation of setting (2)
Compliance range is larger than the Compliance range is larger than the acceptance range acceptance range
100% compliance100% compliance raterate unexploited agreements: agreements that unexploited agreements: agreements that
would be complied with but that are not would be complied with but that are not concludedconcluded
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Policy options in setting (2)
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
pp cc
AcceptanceAcceptance RateRate ++ --
compliancecompliance RangeRange == ++
Rate Rate (100%)(100%)
== ==
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Evaluation of setting (3)
Acceptance range consists of two intervalsAcceptance range consists of two intervals The compliance rate is The compliance rate is below 100%;below 100%; i.e. there are i.e. there are
agreements that will be accepted but not agreements that will be accepted but not concluded (also in the first range)concluded (also in the first range)
This might be worse than the previous situation as This might be worse than the previous situation as There is no use in concluding agreements that There is no use in concluding agreements that
will not be executedwill not be executed Not concluding an agreement leaves open the Not concluding an agreement leaves open the
opportunity of other policy actionsopportunity of other policy actions
Policy options in setting (3)
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
pp cc
AcceptanceAcceptance RateRate ++ --
compliancecompliance RangeRange == ++
Rate Rate (<100%)(<100%)
-- ++
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
Evaluation summary
Initial Initial settingsetting
Evaluation Evaluation criteriacriteria
pp cc
pC(L) = pC(L) = cFcF
ARAR ++ --
CR (100)CR (100) - - = =
pC(L) < pC(L) < cFcF
ARAR ++ --
CR (100)CR (100) = = = =
pC(L) > pC(L) > cFcF
ARAR ++ --
CR (<100)CR (<100) -- ++
Optimal policy options
Policy measures that bring the Policy measures that bring the legislative threat legislative threat in line with the control regimein line with the control regime increase the range increase the range of successful agreementsof successful agreements
Creating a background threat and organising a Creating a background threat and organising a monitoring and control are monitoring and control are two different things two different things and done by different actorsand done by different actors Threat: legislative power, convincing, Threat: legislative power, convincing, Control: stimulation, coordination, practical Control: stimulation, coordination, practical
implementation … ‘keeping the agreement implementation … ‘keeping the agreement alive’alive’
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
conclusions
Model to analyse acceptance and compliance Model to analyse acceptance and compliance decisions of companies in NEAsdecisions of companies in NEAs
Model can explain the decline in the use of NEA Model can explain the decline in the use of NEA in Flanders and Denmark due to the introduction in Flanders and Denmark due to the introduction of NEA design-guidelinesof NEA design-guidelines
‘‘First best’ when background legislative threat First best’ when background legislative threat equals the expected non-compliance costequals the expected non-compliance cost Only policy changes that bring both more in Only policy changes that bring both more in
line increase the range of successful agreementsline increase the range of successful agreements
R. Bracke and M. De Clercq
GIN 2006, 2-5 July, BRASS, Cardiff
conclusions However, creating a policy environment for However, creating a policy environment for
concluding agreements is not the same as a control concluding agreements is not the same as a control and enforcement regime and enforcement regime Background threat: legislative power, stimulate Background threat: legislative power, stimulate
business to take up responsibility, create business to take up responsibility, create incentives… (e.g. Netherlands)incentives… (e.g. Netherlands)
Control regime: environmental agency, set up Control regime: environmental agency, set up monitoring systems, discuss actual monitoring systems, discuss actual implementation problems, coordinate… (e.g. implementation problems, coordinate… (e.g. benchmarking agreements)benchmarking agreements)