Allowing communities to trade in imperfectly competitive pollution-permit markets

Citizens and organizations representing them play an increasingly important role in markets for environmental quality, but much remains to be learned about how their participation affects these markets. We analyze the effects of allowing a community of citizens to trade pollution permits in an imperfectly competitive permit market. Allowing the community to trade directly reveals its preferences, which enhances welfare. However, community participation may also exacerbate distortions due to market power, even though the community itself trades competitively. Including the community in permit distribution may exacerbate market power distortions by affecting a dominant trader’s propensity to participate in the permit market. Second, the community’s demand/supply for permits may be more inelastic than other traders and worsen distortions due to market power. We illustrate in an example that these negative effects on competition can dominate the positive effect from preference revelation through the market place.      

The effects of air quality regulations on the location decisions of pollution-intensive manufacturing plants

This research examines the effects of the 1977 Clean Air Act Amendments (CAAA) on the location decisions of pollution-intensive manufacturing plants. We develop a panel data set to analyze plant births of polluting manufacturers over time as a function county-level attainment status of the federal standard for ozone pollution. We find that more stringent county-level environmental regulations impact pollution-intensive capital flows through deterring new plant births. We also find that the impact of stricter regulations varies by pollution-intensity of manufacturers, with results suggesting that federal guidelines have a greater impact on high pollution intensive manufacturers than more moderate polluters.      

Re-Examining the Empirical Evidence for Stochastic Convergence of Two Air Pollutants with a Pair-Wise Approach

This paper examines the hypothesis of stochastic convergence for two air pollutants emissions (carbon dioxide [CO₂] and sulfur dioxide [SO₂]). The value-added of this paper lies in the use of a recent, alternative econometric method, a pair-wise approach that considers all the possible pairs of log per-capita pollutant emission gaps across all the countries in the sample. In this method, all emissions differences must be stationary around a constant mean. Empirical results support different conclusions on stochastic convergence in per capita CO₂ and SO₂ emissions depending on the choice of the unit root test. The use of specific critical values from the ADF-KPSS joint test overcomes these initial conflicting results and leads to small percentages of stationary pairs around a constant mean; which invalidate the hypothesis of stochastic convergence for per capita emissions of CO₂ and SO₂, even over the OECD sub-dataset.     

Entry Facilitation by Environmental Groups

We consider a model of vertical product differentiation where consumers care about the environmental damage their consumption causes. An environmental group is capable of increasing consumers’ environmental concern via a costly campaign. We show that the prospect of such a campaign can induce entry by a firm that is able to employ a cleaner technology than the one used by the incumbent. We further demonstrate that the subsequent competition can lead to an adverse effect on aggregate pollution, i.e. the decline in average industry pollution per product is offset by the increase in aggregate production.      

Meta-Functional Benefit Transfer for Wetland Valuation: Making the Most of Small Samples

This study applies functional Benefit Transfer via Meta-Regression Modeling to derive valuation estimates for wetlands in an actual policy setting of proposed groundwater transfers in Eastern Nevada. We illustrate how Bayesian estimation techniques can be used to overcome small sample problems notoriously present in Meta-functional Benefit Transfer. The highlights of our methodology are: (i) The hierarchical modeling of heteroskedasticity; (ii) The ability to incorporate additional information via refined priors; and (ii) The derivation of measures of model performance with the corresponding option of model-averaged Benefit Transfer predictions. Our results indicate that economic losses associated with the disappearance of these wetlands can be substantial and that primary valuation studies are warranted.      

Task assignment and organizational form

This paper shows that a firm prefers a process-based task assignment compared to a function-based one if the tasks are from functional areas which are neither too complementary nor too substitutable. We consider several projects (processes) with contributions from several functional areas. The organization can be structured along processes like product lines (M-form) or along functional areas like marketing or production (U-form). The U-form enables cost savings due to specialization or scale economies. The more effective incentives under the M-form might outweigh these savings if the functions are neither too complementary nor too substitutable.      

The critical discount factor as a measure for cartel stability?

This paper considers the stability of tacit collusion in price setting duopolies with repeated interaction. The minimum discount factor above which tacit collusion can be sustained in a subgame perfect equilibrium is called the critical discount factor δ*. In addition, δ* is often used as an intuitive measure for the stability of a tacit cartel, assuming that a collusive equilibrium is more difficult to sustain when δ* increases. However, according to standard theory the distance δ − δ* between the actual and the critical discount factor does not matter for stability as long as δ > δ*. This paper contributes experimental evidence that supports the intuitive idea that a larger critical discount factor makes collusion a less likely outcome.