Abstract
All environmental policies involve costs of implementation and management that are distinct from pollution sources’ abatement costs. In practice, regulators and sources usually share these administrative costs. We examine theoretically an optimal policy consisting of an emissions tax and the distribution of administrative costs between the government and regulated sources of pollution. Our focus is on the optimal distribution of administrative costs between polluters and the government and the optimal level of the emissions tax in relation to marginal pollution damage. We demonstrate how the policy variables affect aggregate equilibrium administrative costs and show that these effects are generally indeterminate, as is the effect of the distribution of administrative costs on aggregate emissions. Consequently, the optimal sharing of administrative costs and whether the optimal emissions tax is higher or lower than marginal damage depend on specific contexts.
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Notes
Others have investigated how administrative costs can affect the relative efficiency of taxes and other policy instruments. For example, Kampas and White (2004) provide an empirical analysis of the relative efficiency of several different policies for the control of an agricultural nonpoint pollutant. They find that the presence of administrative costs favors an input tax even though this instrument does not minimize aggregate abatement costs.
Our model borrows from and extends the work of Polinsky and Shavell (1982) who examine how the structure and distribution of administrative costs affects the determination of an optimal emissions tax. There are several important differences between our effort and theirs, but the most important is that we look for the optimal sharing of administrative costs between regulated firms and the government, while they assume that the distribution is fixed and either the firms bear all administrative costs or the government does. We also allow for a difference in the costs of public funds and private funds and we incorporate an output market into the analysis, both of which turn out to have important impacts on the optimal distribution of administrative costs and the level of the emissions tax. Polinsky and Shavell (1982) do not include these features.
We assume constant marginal damage to simplify the analysis. This assumption does not change our results.
Recent work by Stranlund et al. (2009) suggests that there is a very limited set of circumstances under which it may be efficient to implement emissions taxes that are not fully enforced. Moreover, designing an enforcement strategy that induces full compliance is very simple, because it only requires that firms face an expected marginal penalty that exceeds the tax.
The marginal cost of public funds is equal to one plus the marginal excess burden of taxation, where the latter is the efficiency loss of a higher tax per dollar of increased revenue. In their simulation study of the costs and distributional consequences of alternative policies to reduce U.S. \(\text{ CO }_{2}\) emissions, Parry and Williams (2010) set marginal excess burden equal to 25 cents. One may wonder why we model the difference between public and private costs when the government could use emissions tax receipts to finance its share of administrative costs. We do so because using the emissions tax revenue in this way would still involve an opportunity cost if that revenue could be used to help finance other government activities that would instead have been financed with other distortionary taxes.
Note that the effects of the policy variables on industry output do not play a role in the determination of the optimal policy. This is due to the assumption of perfect competition in the output market, because firms choose efficient levels of output given the policy choice. In the conclusion we suggest that considering the optimal tax and distribution of administrative costs under imperfect competition is a worthwhile extension of this work.
If public funds and private funds are equally costly (\(\mu =1\)) then we are in the situation specified in Proposition 1 and the distribution of administrative costs does not affect social welfare.
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Acknowledgments
This research has been supported by a grant from Conicyt-Chile, under project Fondecyt No. 1110073, and Fondecyt International Cooperation. Additional funding for this research was provided by the Cooperative State Research Extension, Education Service, U. S. Department of Agriculture, Massachusetts Agricultural Experiment Station under Project No. MAS00965. We would like to thank an anonymous referee of this journal for their helpful comments and suggestions.
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Appendix
Appendix
Derivations of the results in Table 2. Use (2) and (3) to obtain:
where
Let \(|S|=c_{qq}\left( c_{xx}+(1-\alpha )m_{xx}\right) -\left( c_{qx}\right) ^{2}\) denote the determinant of the Hessian matrix of the firm’s total cost function (production cost plus the fraction of the administrative costs it bears). \(|S|>0\) is required for concavity of the firm’s profit function. In the usual manner find the following comparative statics:
To determine the direct effects of \(t,\, \alpha \), and \(p\) on the size of the industry substitute (5) into (4) to obtain \(\pi (t,\alpha ,p,\lambda ^{m})\equiv 0\) and:
To determine the effects of \(t, \, \alpha \), and \(p\) on the supply function of the regulated industry, first define:
as the output and emissions of the cut-off firm in the industry. Then:
From the market-clearing condition \(Q^{S}(t,\alpha ,p)=Q^{D}(p)\) obtain:
The sign of \(\hat{p}_{t}\) follows from \(Q_{p}^{S}-Q_{p}^{D}>0\) and (33). The sign of \(\hat{p}_{\alpha }\) follows from \(Q_{p}^{S}-Q_{p}^{D}>0\) and (34), noting the sign of \(q_{\alpha }\) from (28).
The signs of \(\hat{x}_{t}\) and \(\hat{\lambda }_{t}^{m}\) in Table 2 are by assumption as noted in section 2.3. The sign of \(\hat{x}_{\alpha }\) is demonstrated in the main text.
To show the results for \(\hat{\lambda }_{\alpha }^{m}\), recall from (12) that \(\hat{\lambda }_{\alpha }^{m}=\lambda _{\alpha }^{m}+\lambda _{p}^{m}\hat{p}_{\alpha }\). From Table 2, \(\lambda _{\alpha }^{m}=m_{x}=0\) imply \(\hat{p}_{\alpha }=0\), and \(\hat{\lambda }_{\alpha }^{m}=0\). Moreover, \(m_{x}>0\) and \(\lambda _{\alpha }^{m}=0\) imply \(\hat{p}_{\alpha }<0\). Then, since \(\lambda _{p}^{m}\hat{p}_{\alpha }>0, \, m_{x}>0\) and \(\lambda _{\alpha }^{m}=0\) imply \(\hat{\lambda }_{\alpha }^{m}>0\). To show \(\hat{\lambda }_{\alpha }^{m}<0\) when \(\lambda _{\alpha }^{m}<0\) and \(m_{x}=0\) use (35) and (34) to rewrite \(\hat{\lambda }_{\alpha }^{m}=\lambda _{\alpha }^{m}+\lambda _{p}^{m}\hat{p}_{\alpha }\) as:
Since \(m_{x}=0\) implies \(q_{\alpha }=0\) (see (28)):
Substitute in for \(Q_{p}^{S}\) using (32) to obtain:
which is strictly negative when \(\lambda _{\alpha }^{m}<0\), because \(q_{p}>0,\, Q_{p}^{D}<0\), and \(Q_{p}^{S}-Q_{p}^{D}>0\).
Derivation of first order conditions (20) and (21). From (19) the first order condition for a strictly positive tax can be written as:
where \(\hat{q}^{m}=q(t,\alpha ,\hat{p},\hat{\lambda }^{m})\) is the equilibrium output of the cut-off firm in the industry. From a firm’s first order conditions for its optimal choices of output and emissions (2), substitute \(p(\hat{Q})=c_{q}\) and \(t=-c_{x}-(1-\alpha )m_{x}\) into (36) and rearrange terms to obtain:
Substitute equilibrium values of the cut-off firm into (4) to obtain:
Subtract \(\delta \hat{x}^{m}\) and \(\alpha \mu m(t,\hat{x}^{m})\) from both sides of (38) and rearrange terms to obtain:
Substitute (39) into (37) and rearrange terms to obtain:
Substitute (15) into (40) to obtain the desired result (20).
Now turn to the first order condition for \(\alpha \), which from (19) is:
Substitute \(p(\hat{Q})=c_{q}\) and \(t=-c_{x}-(1-\alpha )m_{x}\) into (41) and rearrange terms to obtain:
Substitute (39) into (42) and rearrange terms to obtain:
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Stranlund, J.K., Chávez, C.A. Who should bear the administrative costs of an emissions tax?. J Regul Econ 44, 53–79 (2013). https://doi.org/10.1007/s11149-013-9216-9
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DOI: https://doi.org/10.1007/s11149-013-9216-9