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Moral Hazard and Tradeable Pollution Emission Permits

  • Francisco Alvarez EMAIL logo and Ester Camiña
Published/Copyright: April 12, 2014

Abstract

We consider a market for pollution emission permits in a model in which pollution, generated as by-product of firm’s activity, is determined as the sum of firm-specific random shocks and each firm’s abatement effort. In such a setting, an expected utility maximizing society demands an efficient abatement effort from each firm. We assume that the abatement effort is decided by each firm and is not observed by the environmental regulator. This leads to a moral hazard problem between firms (agents) and the regulator (principal). The regulator assigns contracts to each firm, each contract consisting of an amount of permits and a linear fine for over-polluting firms. We distinguish those policies where the regulator assigns a low number of permits (restrictive policies) and policies where the number of permits to distribute is high (permissive policies). We show that in a context of restrictive policies there exist policies that achieve efficiency and do not need to discriminate in terms of penalties among over-polluting firms when a market for permits is allowed to operate. We also find that the regulator can set up policies with low penalty levels for almost all firms. Finally, we show that in a context of permissive policies, the market leads to the same efficiency-inducing fine scheme than the corresponding one under autarky.

Acknowledgments

We are grateful to Paula González, Rosa Loveira, David Pérez-Castrillo and Nicolás Porteiro for their helpful suggestions. Special thanks are due to Francisco J. André for his valuable substantive comments. This paper has also benefited from the comments of two anonymous referees and the editor. Ester Camiña gratefully acknowledges the support of the Spanish Ministry of Economy under grant ECO2012-31985. The usual disclaimer applies.

Appendix

Proofs

Proof of Proposition 1. (i). We use a second-order Taylor’s expansion for the exponential function: expδx1+δx+12δ2x2. The objective function of the problem that characterizes the efficient allocation of the economy is

J=iχfmiδEiχei12δ2Eiχei2

Using eq. [1], the i.i.d. assumption of the shocks and zi’s, we can write

Eiχei2=iχmi2+iχλizi2+Eiχεi2+2iχmiIμ2iχmiiχλizi2iχλiziIμ

In addition, it is

Eiχei=iχmi+Iμiχλizi

Take mi=1γ(zi), differentiate J with respect to zi and set the derivative equal to zero to obtain

f(1γ(zio))γ(zio)+δ(1+δE{e¯|zo})(γ(zio)+λi)=0

where

Eeˉ|zo=Iiχγzio+Iμiχλizio

The expression in part (i) of the proposition is straightforward from the previous expression. To prove part (ii), note that the right-hand side of eq. [4] is constant across i’s whereas its left-hand side increases monotonically with zio and decreases monotonically with λi. ∎

Proof of Proposition 2. (i). Using zi as the unique decision variable and taking the second-order Taylor expansion for the exponential function, the first-order condition of firm i’s problem is

f(1γ(zi))γ(zi)ρθizih112ρ2θi2zih2=0

where hr=Emax0,1γzi+εiλizi+qir. It is

hr=ti1γzi+εiλizi+qirϕεdε

Using Leibniz’s rule, we have

zih1=(γ(zi)+λi)tiϕ(ε)dε

and

zih2=2ti(1γ(zi)+εi(λizi+qi*))(γ(zi)+λi)ϕ(ε)dε=2(1γ(zi)(λizi+qi*))(γ(zi)+λi)tiϕ(ε)dε=2(γ(zi)+λi)tiεϕ(ε)dε=2(γ(zi)+λi)ti(εti)ϕ(ε)dε

Substituting in the previous first-order condition and re-arranging terms, we obtain the desired expression. (ii). (ii.1) Differentiating the first-order condition obtained in Proposition 2 with respect to zi and θi, and collecting terms we obtain

[λif(1γ(zi))γ(zi)(γ(zi)+λi)2f(1γ(zi))(γ(zi))2γ(zi)+λi+
+ρθi(γ(zi)+λi)(ϕ(ti)+ρθitiϕ(ε)dε)]dzi=
=ρtiϕ(ε)dε+2ρ2θiti(εti)ϕ(ε)dεdθi

Since the terms multiplying dzi and dθi are both positive (provided f′′<0, γ′′0, γ>0, and f>0), then we must have dzidθi>0, and, therefore, we can conclude that the abatement effort of firm i increases with θi (since both g and γ are increasing functions). Differentiating the first-order condition in Proposition 2 with respect to zi and qi and collecting terms, we obtain

[λif(1γ(zi))γ(zi)(γ(zi)+λi)2f(1γ(zi))(γ(zi))2γ(zi)+λi+
+ρθi(γ(zi)+λi)(ϕ(ti)+ρθitiϕ(ε)dε)]dzi=
=ρθiϕ(ti)+ρθitiϕ(ε)dεdqi

Since the terms multiplying dzi and dqi have different signs, then dzidqi<0. (ii.2) Comparing Proposition 1 to part (i), an efficiency-inducing policy (qi,θi) must satisfy

[16]δ1+δEeˉ|zo=ρθitiϕεdε+ρθitiεtiϕεdε

Take Pr(ti<εi)=0, i.e. Pr(εi<ti)=1. In this case, the right-hand side of eq. [16] becomes zero, while its left-hand side is strictly positive, so we must have that Pr(ti<εi)>0, even when each firm exerts the Parero Optimal equilibrium effort. (ii.3) Any efficiency-inducing environmental policy (qi,θi) satisfies eq. [16] with ti=λizio+qi1γzio. Then, given qi there exists a unique value of θi,Υ(qi) that satisfies the first equality. Differentiability (and thus continuity) of Υ follows trivially. Differentiating eq. [16] with respect to qi and θi and collecting terms leads to

0=ρtiϕεdε+2ρθitiεtiϕεdεdθi+ρθiϕtiρθitiϕεdεdqi

Since the terms multiplying dqi and dθi in the above expression have different signs, then Υ is increasing. ∎

Proof of Proposition 3. (i). The first-order condition with respect to zi mimics the corresponding one in Proposition 2 just replacing qi by qi and ti by ui. Similarly, the first-order condition with respect to qi can be written as

pρθiqihˆ112ρ2θi2qihˆ2=0

where we have denoted hˆr=Emax0,1γzi+εiλizi+qir. It is

hˆr=ui1γzi+εiλizi+qirϕεdε

Using Leibniz’s rule, we have that

qihˆ1=uiϕεdε

and

qihˆ2=21γziλizi+qiuiϕεdε+uiεϕεdε=2uiεuiϕεdε

Substituting in the first-order condition and re-arranging terms, we obtain the expression in the proposition. (ii) Necessity (only if part) follows trivially from the comparison of eq. [4] to the first equality in eq. [5] and the fact that the left side of eq. [4] is monotone in zio. To prove sufficiency (if part), consider an allocation z=z1,,zI and a market price p such that eqs [5] and [6] hold. Then z satisfies eq. [4]. ∎

Proof of Proposition 4. (i) Differentiating the first equality in eq. [5] with respect to zi and p and collecting terms we obtain

f′′1γziγzi2+f1γzipγ′′zidzi=γzi+λidp

Use eq. [5] to observe that

f(1γ(zi))p=λpγ(zi)

Then, we have that

f′′1γziγzi2+λpγziγ′′zidzi=γzi+λidp

The expressions multiplying dzi and dp are both positive provided f′′<0 and γ′′0. Therefore dzidp>0 holds. (ii) Consider both equalities in eq. [5]. When p increases, zi also increases, and, hence, ui also increases. Moreover, as ui increases, the integrals in eq. [5] decrease. In summary, if qi remains constant as p increases, the term on the right in eq. [5] decreases. On the other hand, this term decreases with qi. Therefore, p and qi must move in the opposite direction to satisfy eq. [5]. (iii) It follows trivially from the fact that the term on the left in eq. [5] decreases monotonically with λi whereas it increases monotonically with zi. (iv) From (iii), we have that, given p, an increase of λi conveys an increase in zi as well, and thus an increase in ui in the rightest term of eq. [5]. Consequently, for the second equality of eq. [5] to hold, we must decrease qi. (v) It follows trivially from (iv). ∎

Proof of Proposition 5. (i) Condition [7] is equivalent to ti<εinf. Thus, under condition [7] the integrals in the left-hand side of Proposition 2 become: tiϕεdε=1 and tiεϕεdε=μ. Thus, the optimal decision of the firm is given by

[17]f(1γ(zi))γ(zi)γ(zi)+λi=ρθi(1+ρθi(μti))

where ti=λizi+qi1γzi. Part (i) follows trivially from the direct comparison of eqs [4]–[17] and monotonicity in zio of the left-hand side of eq. [4]. (ii) For any arbitrary z=z1,,zI, it is Eeˉ|z>Eei|zi=mi+μλizi>mi+μλiziqi=μti, where we have used eq. [2] for the first inequality. Therefore, for eq. [8] to hold, it must be the case that δ<ρθi holds. (iii) The larger λi, the larger the distance between Eeˉ|z and μti, and therefore, the larger the value of θi. ∎

Proof of Proposition 6. (i) Condition [9] implies ui<εinf, where ui is defined in Proposition 3. Thus, under eq. [9] the integrals in the rightest term of eq. [5] are uiϕεdε=1 and uiεϕεdε=μ. Consequently, under eqs [9] and [10], eq. [5] becomes

α2zi1+λi=p=ρθi1+ρθiμui

The latter two equalities together with the definition of ui constitute a system of three equations on three unknowns: ui, qi and zi. The unique solution is

ui=μ+1ρθi1pρθiqi=μ+1ρθi12λi1ρθi2p+αpzi=2α1+λip

(ii) Since ui<εinf holds under eq. [9], the latter solution in qi constitutes the individual demand function of permits. The equilibrium price equals aggregate demand to total supply. Then, the equilibrium price is a solution in p to

Iμ1+1ρiχ1θi2iχλi1ρ2piχ1θi2+Iαp=Q

Multiplying by p and collecting terms, we obtain

[18]Iα+Iμ1+1ρiχ1θi2iχλiQp1ρ2iχ1θi2p2=0.

The left-hand side of this equation is a quadratic concave function which is strictly positive at p=0. Thus, there exists a unique positive value of p which solves it. (iii) po is characterized in the part (ii) of Proposition 3. Using eq. [10] and the solution to zi given in part (i), after some algebra, the equation in part (ii) of Proposition 3 becomes

[19]δ2Iαδ1+δMp+p2=0,

where M=Iμ12iχλi. The left-hand side of the previous equality is a quadratic convex function strictly negative at p=0. This implies that there exists a unique positive value of p which solves it. (iv) By direct comparison of eqs [18] and [19], we obtain trivially that eq. [11] is a sufficient condition. (v) From the second equality in eq. [11], it follows trivially that it must be δ2ρ2θi2<1 for all iχ, or, equivalently, the statement in the proposition. (vi) Both eqs [18] and [19] have the same positive solution in p if and only if

[20]δ1+δM+δ21+δM2+4δ2Iα=δk0+δMk1+δ2k0+δMk12+41k1δ2Iα

where k0=δ1ρiχ1θiQ and k1=δ2ρ2iχ1(θi)2. Eq. [20] allows for k0+δMk1>1+δM together with 1k1<1. Assume first that M>0 holds. Then the previous inequalities together imply that k0>k1>1 must hold, or, equivalently, iχδρθiδQ>iχδρθi2>1. This latter chain of inequalities can hold if δρθi>1 holds for all iχj, being j arbitrary in χ, which is part (a) of (vi). If M<0 holds, we can still have k0>k1, and the subsequent argument follows. To prove part (b) of (vi) it suffices to let r=θi for all iχ and to show that eq. [20] has a positive solution in r. The left-hand side of eq. [20] is strictly positive (regardless the sign of M). The right-hand side of eq. [20] is a continuous function of r that tends to zero as r tends to whereas it tends to as r tends to zero. ∎

Proof of Proposition 7. (i–iii) It is convenient to introduce the following notation: mˉ=iχ1γzio and sˉ=iχλizio. Thus Eeˉ|zo=mˉ+Iμsˉ, and eq. [4] becomes

[21]f(1γ(zio))γ(zio)γ(zio)+λi=δ(1+δ(m¯+Iμs¯))

for all i0,1, where we must recall that the subscript i refers to type and not to a specific firm. Using eq. [10] and the fact that the left-hand side of eq. [21] must be equal across types, we have

[22]z0o=2(2z1o)1+λ11+λ0

Note that eq. [22] together with λ0<λ1 implies part (iii) of the proposition. Using eq. [22] we can write

mˉ=I01+λ11+λ01+I01+λ11+λ0+I1(1z1o)

and

sˉ=2I0λ011+λ11+λ0+I0λ01+λ11+λ0+I1λ1z1o

After some algebra, these two previous expressions lead to

mˉsˉ=I+2I0(λ1λ0)I(1+λ1)z1o

Using this expression, eq. [21] for type 1 firms can be written

[23]α2z1o11+λ1=δ1+δI1+2I0I(λ1λ0)+μδ2I(1+λ1)z1o

The left-hand side of eq. [23] increases with z1 whereas the right-hand side decreases with z1. Thus, if there exists a solution in z1 to eq. [23], it is unique. In addition, such solution exists and lies in the interval (0,1) if and only if: (a) the left-hand side of eq. [23] is smaller than the right-hand side at z1=0, and thus the solution is larger than zero, and (b) the left-hand side of eq. [23] is larger than the right-hand side at z1=1, and thus the solution is smaller than 1. Condition (b) is

α1+λ1>δ1+δI1+2I0I(λ1λ0)+μδ2I(1+λ1)

or, equivalently

[24]α1+λ1>δ1+δI2I0I(λ1λ0)+μλ1

Notice that, since z0<z1 holds, eq. [24] ensures both z1<1 and z0<1. Condition (b) ensures z1>0 but not z0>0. Thus, we need to replace (a) with a stronger condition that ensures z0>0. Using eq. [22], we can write z0>0 as z1>zˆ, where zˆ=211+λ01+λ1. Since we have that zˆ>0, z1>zˆ is stronger than condition (a). Therefore, replacing 0 with zˆ in condition (a) leads to the following condition: (a′) the left-hand side of eq. [23] is smaller than the right-hand side at zˆ, and thus the solution is larger than zˆ. Condition (a′) ensures that z0>0 and consequently z1>0 holds. We can write (a′) as

α2zˆ11+λ1<δ1+δI1+2I0I(λ1λ0)+μδ2I(1+λ1)zˆ.

Using (2zˆ)(1+λ1)=2(1+λ0) within the left-hand side of the latter inequality and using (1+λ1)zˆ=2(λ1λ0) within the right-hand side, we can write it as

[25]α2(1+λ0)<δ1+δI12I1I(λ1λ0)+μ

Conditions [24] and [25] characterize the subset of parameter values for which the efficient interior solutions exist and are unique. Let us denote that subset by Ω. Next, we analyze the non-emptiness of Ω. First, since the interior efficient solution z1, defined by the solution to eq. [23] in z1, must belong to the interval (zˆ,1), it must be the case that zˆ<1. The latter inequality is equivalent to

[26]λ1<1+2λ0

This condition is thus necessary for Ω to be non-empty. We show that it is also sufficient. The previous assumptions imply that the right-hand side of eq. [24] is strictly positive. Thus, there exists a unique value of α, say α, such that eq. [24] holds with equality. Replacing α by α, we write eq. [25] as

121+λ11+λ0δ(1+δIT1)<δ(1+δIT2).

where we have denoted T1=2I0I(λ1λ0)+μλ1 and T2=12I1I(λ1λ0)+μ. Condition [26] implies that 121+λ11+λ0<1. Therefore, for the previous inequality to hold, it suffices that δ(1+δIT1)<δ(1+δIT2) or, equivalently, T1<T2, but this latter inequality is equivalent to eq. [26]. The non-emptiness of Ω follows now trivially using a continuity argument on α. Furthermore, if, for every α satisfying both eqs [24] and [25], we use a continuity argument on the rest of the parameters, we obtain that Ω has a non-zero measure along any dimension in α,I0,I1,λ0,λ1,δ,μ, i.e. Ω has a non-empty interior. (iv and v) Write eq. [23] as

α2z1o11+λ1=k+δ2I(1+λ1)(2z1o)

where

k=δ1+δI1+2I0I(λ1λ0)+μ+2δ2I(1+λ1)

Thus, defining z˜=(1+λ1)(2z1o) and taking into account the definition of k, eq. [23] can be written as δ2Iz˜2+kz˜α=0, which is a quadratic equation in z˜. More specifically, the left-hand side of this equation is convex and strictly negative at z˜=0, thus it has exactly one positive root. Once z˜ is obtained, we have that z1o=211+λ1z˜ and z0o=211+λ0z˜, where we have used eq. [22] for the latter equality. The signs of the comparative statics analysis are straightforward: when a parameter changes, first look at the changes in z˜ and then at the changes in zio. ∎

Proof of Proposition 8. (i) Consider the expressions in Proposition 2 taking zi=zio. It is ti=qi+(1+λi)zio1=μ, where we have used eq. [13]. Using in addition that zio=211+λiz˜ holds for every i0,1, which is shown in the proof of Proposition 7, the expression in Proposition 2 becomes

[27]αz˜=ρθiμϕ(ε)dε+ρθiμ(εμ)ϕ(ε)dε

Clearly, the solution in θi to this latter equation is type-independent. (ii) It follows trivially if we note that Prεμ>0=μϕ(ε)dε and that both z0o and z1o decrease with z˜. (iii) Notice that σ>0 is necessary and sufficient for the integrals on the right-hand side of the above equation to be strictly positive, which in turn is a necessary and sufficient condition for the above equation to have a (positive) solution in θ. Using the uniform distribution, we have μϕ(ε)dε=12 and μ(εμ)ϕ(ε)dε=σ8, which substituted in the above equation leads to the desired expression. ∎

Proof of Proposition 9. (i) Using eq. [10], eq. [5] becomes

[28]α(2zi)(1+λi)=p=κ(ui)

where κ(ui)=ρθuiϕεdε+ρθuiεuiϕεdε and ui is defined in Proposition 3. Under eq. [10], we have ui=qi1+(1+λi)zi. It is κ(ui)0 for all ui, and the strict inequality holds iff ui<εsup. Thus, for any p>0, from the second equality in eq. [28], ui<εsup must hold. Also, κ(ui)=ρθϕui+ρθuiϕεdε, thus it is κ(ui)0 for all ui, and the strict inequality holds iff ui<εsup. Thus, under the latter inequality, the inverse of κ, denoted κ1, is well defined, and the second equality in eq. [28] is ui=κ1(p). Using this latter equality together with the first equality in eq. [28] and the definition of ui, we have

qi=κ1p(1+2λi)+αp

The latter expression is the individual demand of permits for any p>0, and it is continuous and strictly decreasing in p. Notice that ui<εsup is equivalent to Prei>qi|zi>0. (ii) Consider the first equality in eq. [28] with zi=zio and use the definition of z˜ given in Proposition 8. The unique price that restores efficiency is p=α/z˜. Of course, for it to be an equilibrium price, the market must clear at that price. The aggregate demand at that price is

D=Iκ1αz˜(I+2I0λ0+I1λ1)+Iz˜

whereas the aggregate supply (at any price) is given by eq. [15]. Note that

Eei|zio=1+μ(1+λi)zio=μ+z˜(1+2λi)

where, for the latter equality, we have used the definition of z˜. Using the latter expression into eq. [15] to obtain the aggregate supply, the market clearing condition, after canceling out common terms on both sides, becomes κ1(α/z˜)=μ or, equivalently

αz˜=κ(μ)

but the latter equation is exactly eq. [27].

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  1. 1

    Informally speaking, as long as the emissions are subject to random elements, a low level of emissions at a precise moment in time does not make the society happy, since it might be due to favorable realizations of the shock. The objective is to achieve a low level of emissions that is persistent in time, and this is equivalent to choose an appropriate abatement effort.

  2. 2

    We refer to partial trading because we assume that only permits (and not fines) can be traded.

  3. 3

    Of course, there is a huge literature on markets for permits within the environmental economics literature which lies far from the essential question of this paper.

  4. 4

    Additionally, in the EU-ETS markets, participant firms belong to different economic sectors, and there might appear sector-specific shocks.

  5. 5

    Assuming that the productivity of the abatement technology is private information to each firm is equivalent to adding an adverse selection problem to the moral hazard problem that we study in this paper.

  6. 6

    More generally, E{x} denotes the expectation of x whereas E{x|} denotes its conditional expectation.

  7. 7

    In other words, the society is sensitive not only to the ex-ante expected pollution level but also to ex-ante risk in the level of pollution. The CARA assumption implies that society’s aversion to environmental risk is independent of society’s wealth.

  8. 8

    We denote mo=m1,,mI and analogously for ao. We omit non-negativity constraints of the decision variables throughout the text. Essentially, eq. [1] is a particular case of the model studied in Innes (2003). Consequently, the choice variables in the problem that defines the efficient allocation in his paper are the same as here. As mentioned in Section 1, he does not analyze a moral hazard problem.

  9. 9

    Since each firm’s pollution is observable, we deal with a point-source pollution problem.

  10. 10

    In other words, we allow for a difference between the risk aversion of those who suffer the externality (pollution) and those who cause it.

  11. 11

    Studying this adverse selection problem is an interesting extension of the model proposed in this paper. In Section 4, we characterize settings in which adding an adverse selection problem would be irrelevant since we prove that the ER does not need the information about the λ’s to induce the efficient allocation. For the rest of the cases, our results open a line of research where one should add an adverse selection problem and study the type of contracts that the ER should design in order to induce efficiency.

  12. 12

    In Section 4, we present necessary and sufficient conditions for the efficient allocation to be interior within a particular case of the model. Considering economies with fully specialized firms does not add any new insight, whereas it increases the complexity of the analysis.

  13. 13

    Although she needs some information on the λ’s, she might not have a mapping from the set of λ’s into the set of firms.

  14. 14

    This assumption simplifies the expressions obtained but does not change any qualitative result of the paper.

  15. 15

    In fact, there will be still ex-post differences among same-type firms as long as realized shocks differ across those firms, but that is irrelevant since decisions are undertaken ex-ante.

Published Online: 2014-4-12
Published in Print: 2014-1-1

©2014 by De Gruyter

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