Investment Incentives Under Emission Trading: An Experimental Study

This paper presents the results of an experimental investigation on incentives to adopt advanced abatement technology under emissions trading. Our experimental design mimics an industry with small asymmetric polluting firms regulated by different schemes of tradable permits. We consider three allocation/auction policies: auctioning off (costly) permits through an ascending clock auction, grandfathering permits with re-allocation through a single-unit double auction, and grandfathering with re-allocation through an ascending clock auction. Our results confirm both dynamic and static theoretical equivalence of auctioning and grandfathering. We nevertheless find that although the market institution used to reallocate permits does not impact the dynamic efficiency from investment, it affects the static efficiency from permit trading.     

Real option analysis for effects of emission permit banking on investment under abatement cost uncertainty

The present paper analyzes the investment effects of emission trading scheme (ETS) when emission permits are bankable and there is technological uncertainty with regard to the abatement cost. A real option model is employed to accommodate irreversibility of investment and cost uncertainty. In the absence of abatement cost uncertainty, a bankable ETS reduces a firm's incentive for environmental investment, because the firm can utilize the banked permits for future compliance which act as substitutes for abatement investment. However, when cost uncertainty is prevalent, investment may reduce the opportunity cost of irreversible investment under the banking system, thereby increasing a firm's investment incentive. The condition is derived under which a bankable ETS provides higher investment incentives than a non-bankable ETS does.     

Technology adoption decisions under a mixed regulatory system of tradable permits and air pollution fees for the control of Total Suspended Particulates in Taiwan

By using a newly proposed tradable permit system built under the current air pollution fee regulation for the control of Total Suspended Particulates in Taiwan as an example, a mixed-integer non-linear programming model that minimizes the total regulatory costs of firms is applied to investigate how different permit trading ratios and the design of banking might affect firms’ technology adoption decisions and permit trading behavior. By incorporating binary variables in the model to represent firms’ decisions as to whether or not to install new control equipment, the results show that when the unit air pollution fee rate is higher than the firms’ abatement costs, the design of banking causes many firms to install new control equipment that results in an over-reduction of emissions. If no air pollution fee is imposed, the trading ratio plays a more important role than the reservation rate for banking in determining the firms’ emission reduction strategies under a pure permit trading scheme. While the conclusion from this study that uses a non-uniformly mixed pollutant as an example may hold only when certain conditions are met, the framework can be applied to other uniformly mixed pollutants through parameter changes without any limitation. In addition, the modeling technique presented here offers policy-makers a very convenient approach to empirical analysis.      

Intertemporal Emission Permits Trading Under Uncertainty and Irreversibility

This paper analyzes the effect of emission permit banking on clean technology investment and abatement under conditions where the stringency of the future cap is uncertain. We examine the problem of heterogeneous firms minimizing the cost of intertemporal emission control in the presence of stochastic future pollution standards and emission permits that are tradable across firms and through time. A firm can invest in clean capital (an improved pollution abatement technology) to reduce its abatement cost. We consider two possibilities: that investment is reversible or irreversible. Uncertainty is captured within a two period model: only the current period cap is known. We show that if banking is positive and marginal abatement costs are sufficiently convex, there will be more abatement and investment in clean technology under uncertainty than there would be under certainty and no banking. These results are at odds with the common belief that uncertainty on future environmental policy is a barrier to investment in clean capital. Moreover, under uncertainty and irreversibility, we find that there are cases where banking enables firms to invest more in clean capital.     

Prices Versus Quantities: Technology Choice,Uncertainty and Welfare

Technological improvements have proven essential in mitigating environmental problems such as climate change, depletion of the ozone layer and acid rain. While it is well-known that price- and quantity-based regulatory instruments provide different investment levels, the effects on the choice between different technologies have received scant attention. This paper expands on the prices versus quantities literature by investigating firms’ technology choice in the face of demand and supply side uncertainty. I show that the regulator can not design tradable emissions permits and an emissions tax such that the two regimes are equivalent, even in terms of expected values. Moreover, a tax encourages the most flexible abatement technology if and only if stochastic costs and the equilibrium permit price have sufficiently strong positive covariance, compared with the variance in consumer demand for the good produced. Finally, the firms’ technology choices are socially optimal under tradable emissions permits, but not under an emissions tax.     

Managing Permit Markets to Stabilize Prices

The political economy of environmental policy favors the use of quantity-based instruments over price-based instruments (e.g., tradable permits over green taxes), at least in the United States. With cost uncertainty, however, there are clear efficiency advantages to prices in cases where the marginal damages of emissions are relatively flat, such as with greenhouse gases. The question arises, therefore, of whether one can design flexible quantity policies that mimic the behavior of price policies, namely stable permit prices and abatement costs. We explore a number of “quantity-plus” policies that replicate the behavior of a price policy through rules that adjust the effective permit cap for unexpectedly low or high costs. They do so without necessitating any monetary exchanges between the government and the regulated firms, which can be a significant political barrier to the use of price instruments.     

Optimal intensity targets for greenhouse gas emissions trading under uncertainty

Uncertainty is an obstacle for commitments under cap and trade schemes for emission permits. We assess how well intensity targets, where each country’s permit allocation is indexed to its future realized GDP, can cope with uncertainties in international greenhouse emissions trading. We present some empirical foundations for intensity targets and derive a simple rule for the optimal degree of indexation to GDP. Using an 18-region simulation model of a cooperative, global cap-and-trade treaty in 2020 under multiple uncertainties and endogenous commitments, we show that optimal intensity targets could reduce the cost of uncertainty and achieve significant increases in global abatement. The optimal degree of indexation to GDP would vary greatly between countries, including super-indexation in some advanced countries, and partial indexation for most developing countries. Standard intensity targets (with one-to-one indexation) would also improve the overall outcome, but to a lesser degree and not in all individual cases. Although target indexation is no magic wand for a future global climate treaty, gains from reduced cost uncertainty and the potential for more stringent environmental commitments could justify the increased complexity and other potential downsides of intensity targets.      

Taxes versus quantities for a stock pollutant with endogenous abatement costs and asymmetric information

We compare emissions taxes and quotas when a (strategic) regulator and (non-strategic) firms have asymmetric information about abatement costs, and all agents use Markov perfect decision rules. Firms make investment decisions that affect their future abatement costs. For general functional forms, firms’ investment policy is information-constrained efficient when the regulator uses a quota, but not when the regulator uses an emissions tax. This advantage of quotas over emissions taxes has not previously been recognized. For a special functional form (linear–quadratic) both policies are constrained efficient. Using numerical methods, we find that a tax has some advantages in this case.     

Climate Policy,Learning, and Technology Adoption in Small Countries

A significant reduction in global greenhouse gas emissions requires international cooperation in emission abatement as well as individual countries’ investment in the adoption of abatement technology. The existing literature on climate policy pays insufficient attention to small countries, which account for a substantial proportion of global emission. In this study, we investigate how climate policy and learning about climate damage affect investment in abatement technology in small countries. We consider three alternative climate policy instruments: emission standards, harmonized taxes and auctioned permits. We say that learning is feasible if an international environmental agreement (IEA) is formed after the resolution of uncertainty about climate damage. We find that, either with learning and quadratic abatement costs or without learning, harmonized taxes outperform emission standards and auctioned permits in terms of investment efficiency. Without learning, a large cost of nonparticipation (that a country incurs) in the IEA can be beneficial to the country. Whether learning improves investment efficiency depends on the size of this nonparticipation cost.     

Emission Trading with Fiscal Externalities: The Case for a Common Carbon Tax for the Non-ETS Emissions in the EU

A government is fiscally constrained if it is unable to raise sufficient tax revenue to finance the first-best level of public spending. When involved in emission trading, a fiscally constrained government will potentially seek to close its fiscal gap through emission permit sales. This fiscal incentive therefore generates a fiscal externality in the permit market that is endogenous to the extent of fiscal constrainedness among the participating countries. Our theory explains how, and when, fiscal externalities may be expected to arise. Moreover, we show that in a permit market equilibrium with fiscal externalities, the initial allocation of emission permits between countries will affect: (1) the price of emission permits, (2) the global distribution of abatement effort, and (3) total greenhouse gas mitigation costs. This is contrary to the textbook model of emission permit markets. Our findings are especially relevant for the EU which is about to allow for trading in emission rights between EU member countries for all emissions outside the European Emissions Trading System.     

Do technology externalities justify restrictions on emission permit trading?

International emission trading is an important flexibility mechanism, but its use has been often restricted on the ground that access to international carbon credits can undermine the domestic abatement effort reducing the incentive to innovate and, eventually, lowering the pace of climate policy-induced technological change. This paper examines the economics that is behind these concerns by studying how a cap to the trade of carbon offsets influences innovation, technological change, and welfare. By using a standard game of abatement and R&D, we investigate the main mechanisms that shape these relationships. We also use a numerical integrated assessment model that features environmental and technology externalities to quantify how limits to the volume, the timing, and the regional allocation of carbon offsets affect climate policy costs and the incentive to invest in innovation and low-carbon technologies.Results indicate that, for moderate caps on the amount tradable emissions permits and sufficiently high technology spillovers, global innovation and technical change would increase and that this additional innovative effort could lead to economic efficiency gains. The numerical analysis confirms that when constraints are close to 15% of domestic abatement, efficiency losses are small because they are partly compensated by more technological spillovers and lower energy prices. Under a broad range of parameters, restrictions are costly for the constrained countries, but always beneficial for unconstrained ones.     

排污权交易政策对企业环保行为的传导机制研究

从企业的目标函数和生产函数两个角度出发,分析了排污权交易政策对企业环保行为的影响机理,并讨论了排污权交易政策下企业的环保行为选择。研究发现：排污权交易政策通过影响企业的资本要素分配,从而影响企业环境资源的使用成本,进而影响企业的生产和环保行为决策;在排污权交易政策的作用下,企业主要采取不同的污染治理投资策略来满足该政策的规制。基于此,政府应制定配套政策和措施,引导企业沿着“政策遵从—环保投资策略—新环保技术采纳”的行为选择路径进行行为决策,以实现排污权交易政策的目标。     

Prices versus quantities: environmental regulation and imperfect competition

By exercising market power, a firm will distort the production, and therefore the emissions decisions, of all firms in the market. This paper examines how the welfare implications of strategic behavior depend on how pollution is regulated. Under an emissions tax, aggregate emissions do not affect the marginal cost of polluting. In contrast, the price of tradable permits is endogenous. I show when this feedback effect increases strategic firms’ output. Relative to a tax, tradable permits may improve welfare in a market with imperfect competition. As an application, I model strategic and competitive behavior of wholesalers in a Mid-Atlantic electricity market. Simulations suggest that exercising market power decreased emissions locally, thereby substantially reducing the regional tradable permit price. Furthermore, I find that had regulators opted to use a tax instead of permits, the deadweight loss from imperfect competition would have been even greater.     

The Cost-Effective Choice of Policy Instruments to Cap Aggregate Emissions with Costly Enforcement

We study the cost-effectiveness of inducing compliance in a program that caps aggregate emissions of a given pollutant from a set of heterogeneous firms based on emissions standards and the relative cost-effectiveness of such a program with respect to an optimally designed program based on tradable discharge permits. Our analysis considers abatement, monitoring and sanctioning costs, as well as perfect and imperfect information on the part of the regulator with regard to the polluters’ abatement costs. Under perfect information we find that (a) the total-cost-effective design of a program based on standards is one in which the standards are firm specific and perfectly enforced, and (b) the total cost of an optimally designed program based on standards is lower than the total cost of an optimally designed transferable emission permits system, except under special conditions. This is true when it is optimum to induce perfect compliance and when it is not. Under imperfect information, nevertheless, it is only by implementing a system of tradable permits and perfectly enforcing it with a constant marginal penalty tied to the price of the permits, that the regulator can surmount the informational problem and at the same time minimize the total cost of the program with certainty.     

Technology Diffusion with Market Power in the Upstream Industry

This paper compares taxes and tradable permits when used to regulate a competitive and polluting downstream industry that can purchase an abatement technology from a monopolistic upstream industry. Second-best policies are derived for the full range of the abatement technology’s emission intensities and marginal abatement costs. The second-best permit quantity can be both above or below the socially optimal emission level. Explicit consideration of the output market provides further insights on how market power distorts the allocation in the downstream industry. The ranking between permits and taxes is ambiguous in general, but taxes weakly dominate permits if full diffusion is socially optimal. In addition, it is analysed how a cap on the permit price affects the diffusion of an abatement technology.     

Multinational taxation and international emissions trading

Many studies have shown that the activities of multinational corporations are quite sensitive to differences in income tax rates across countries. In this paper I explore the interaction between multinational taxation and abatement activities under an international emissions permit trading scheme. Four types of plans are considered: (1) a single domestic permit system with international offsets; (2) separate national permit systems without trade; (3) separate national permit systems with limited offsets; and (4) an international permit trading system. For each plan, I model the incentives for the multinational firm to choose abatement activities at home and abroad and to transfer emissions credits between parent and subsidiary. Limits on trading across countries restrict efficiency gains from abatement, as is well known. But if available offset opportunities are limited to actual abatement activities, those activities are also more susceptible to distortions from incentives to shift taxable income. Transfer-pricing rules can limit but not always eliminate these distortions. In a system of unlimited international trading, abatement is efficiently allocated across countries, but tax shifting can still be achieved through intra-firm transfer pricing. From the basis of efficiency for both environmental and tax policies, the best design is an international permit trading system with transparent, enforceable transfer-pricing rules.     

Permit Trading and Credit Trading: A Comparison of Cap-Based and Rate-Based Emissions Trading Under Perfect and Imperfect Competition

This paper compares emissions trading based on a cap on total emissions (permit trading) and on relative standards per unit of output (credit trading). Two types of market structure are considered: perfect competition and Cournot oligopoly. We find that output, abatement costs and the number of firms are higher under credit trading. Allowing trade between permit-trading and credit-trading sectors may increase welfare. With perfect competition, permit trading always leads to higher welfare than credit trading. With imperfect competition, credit trading may outperform permit trading. Environmental policy can lead to exit, but also to entry of firms. Entry and exit have a profound impact on the performance of the schemes, especially under imperfect competition. We find that it may be impossible to implement certain levels of total industry emissions. Under credit trading several levels of the relative standard can achieve the same total level of emissions.     

Opportunity Cost for Free Allocations of Emissions Permits: An Experimental Analysis

An important feature of emissions trading is how emissions permits are allocated. The choice between an auction and free allocation should not influence firms’ production choices nor consumer prices according to economic theory. However, many parties expect the method of allocation to affect product prices. This paper describes an experimental investigation into price determination under a cap-and-trade program with different allocation methods. Participants initially display diverse pricing strategies. However, given a simple economic setting in which earnings depend on behavior, we find that subjects learn to consider the opportunity cost of permits and overall behavior moves toward the economic prediction.     

Conserving biodiversity with tradable permits under changing conservation costs and habitat restoration time lags

Tradable permits are a common environmental policy instrument that has recently been applied also to the conservation of biodiversity. Biodiversity conservation differs in many respects to the classical applications of tradable permits like emissions control. One particularity is that, even if the permit system maintains a constant total amount of species habitat, habitat turnover (the destruction of a habitat and restoration elsewhere) affects the ecosystem. Another particularity is that the restoration of habitats often takes much time, leading to time lags between the initiation of restoration activities and the time when restored habitat is available for trading. We use an agent-based model of a tradable permit market to study the influence of heterogeneous and dynamic conservation costs and habitat restoration time lags on key variables of the market, such as the costs incurred to the market participants and the amount of habitat turnover. Our results show that there may be trade-offs between these key variables. We also find that restoration time lags can lead to fluctuations in permit prices that reduce the efficiency of the permit market. We conclude that temporal lags deserve a careful analysis when implementing tradable permit systems for the preservation of natural habitats and biodiversity.     

Pooling of Uncertainty: Enforcing Tradable Permits Regulation when Emissions are Stochastic

An under-appreciated advantage of tradable permits regulation is its ability to create better decision-making when emissions are stochastic. In general, the distribution of stochastic actual emissions around intended emissions results in over- or under-compliance. Permit tradability reduces the extent to which actual aggregate emissions deviate from regulatory targets, by giving firms an additional mechanism for responding to uncertainty. We construct a two period model of permit regulation with ex post enforcement to demonstrate how the permit market distributes uncertainty, and to illustrate the importance of expectations toward permit market outcomes.