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.     

From command-and-control to market-based environmental policies: Optimal transition timing and China’s heterogeneous environmental effectiveness

Despite the rich literature on command-and-control and market-based environmental policies, the transition between them has received relatively less attention. This paper identifies that there exists an optimal transition timing from command-and-control policies to market-based policies by analyzing the trade-off between the abatement cost and innovation compensation effects of environmental regulations, and the optimal transition timing occurs when the marginal opportunity cost of pollution abatement equals the marginal output of capital input. Using province-level data of 30 regions in China from 2007 to 2015, we measure environmental efficiency by the slack-based model with desirable and undesirable output, and adopt the spatially adaptive semi-parametric model to carry out our empirical research, which shows that command-and-control policies, rather than market-based policies, promote China’s environmental efficiency. Enhancing investment in technological innovation contributes to improving environmental efficiency for both types of policies. Finally, the effect of such policies on environmental efficiency remains heterogeneous across regions.     

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。     

Irreversible abatement investment under cost uncertainties: tradable emission permits and emissions charges

A major concern with tradable emission permits is that stochastic permit prices may reduce a firm’s incentive to invest in abatement capital or technologies relative to other policies such as a fixed emissions charge. However, under efficient permit trading, the permit price uncertainty is caused by abatement cost uncertainties which affect investment under both permit and charge policies. We develop a rational expectations general equilibrium model of permit trading and irreversible abatement investment to show how cost uncertainties affect investment under permits. We compare the resulting investment incentive with that under charges. After controlling for the assumption that random shocks affect the abatement cost linearly, we find that firms’ investment incentive decreases in cost uncertainties, but more so under emissions charges than under permits. Therefore, tradable permits in fact may help maintain firms’ investment incentive under uncertainty.     

Pollution Abatement Investment When Environmental Regulation Is Uncertain

In a dynamic model of a risk-neutral competitive firm that can lower its pollution emissions per unit of output by building up abatement capital stock, we examine the effect of a higher pollution tax rate on abatement investment both under full certainty and when the timing or the size of the tax increase is uncertain. We show that a higher pollution tax encourages abatement investment if it does not exceed a certain threshold rate. However, akin to the Diamond-Mirrlees tax anomaly, it is possible that a higher pollution tax rate results in more pollution. The magnitude uncertainty discourages abatement investment, but at the time of the actual tax increase the abatement investment path may shift either upward or downward. On the other hand, when the timing is uncertain, the abatement investment path always jumps upward, thus suggesting that the effect of magnitude uncertainty on the optimal investment path may be more pronounced than that of timing uncertainty. Further, we show that the ad hoc practice of raising the discount rate to account for the uncertainty leads to underinvestment in abatement capital. We show how the size of this underinvestment bias varies with the future tax increase. Finally, we show that a credible threat to accelerate the tax increase can induce more abatement investment.     

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.     

Environmental Quality,Public Debt and Economic Development

This article analyzes the consequences on capital accumulation and environmental quality of environmental policies financed by public debt. A public sector of pollution abatement is financed by a tax or by public debt. We show that if the initial capital stock is high enough, the economy monotonically converges to a long-run steady state. On the contrary, when the initial capital stock is low, the economy is relegated to an environmental poverty trap. We also explore the implications of public policies on the trap and on the long-run stable steady state. In particular, we find that government should decrease debt and increase pollution abatement to promote capital accumulation and environmental quality at the stable long-run steady state. Finally, a welfare analysis shows that there exists a level of public debt that allows a long run steady state to be optimal.     

Environmental regulations and innovation activity in UK manufacturing industries

We examine the relationship between environmental regulations and innovation, using data from UK manufacturing industry during 2000-2006. We estimate a dynamic model of innovation behaviour, and explicitly account for the likely endogeneity of our measure of the stringency of environmental regulations (pollution abatement costs). Our results indicate that while on the one hand environmental R&D and investment in environmental capital are stimulated by greater pollution abatement pressures, on the other hand there is not a positive impact of environmental regulation on total R&D or total capital accumulation. We find some evidence that this is because more stringent environmental regulations directly lower the optimal expenditure on non-environmental innovations. In addition, we find that environmental R&D may crowd out non-environmental R&D, although there is no evidence that environmental capital crowds out non-environmental capital.     

A Real Options Approach to Abatement Investments and Green Goodwill

In this paper we adopt the green goodwill argument as to why firms voluntarily invest in abatement capital. We investigate the effects on the abatement investment decision of changes in uncertainty about future green goodwill, competitor abatement investments, regulations, etc., using a real options framework. Our results indicate that increased uncertainty about consumers' willingness to pay for green products in the future discourage voluntary abatement investments. The model also suggests that voluntary abatement investments are promoted by an increased threat of regulation and competitor abatement investments. Furthermore, the benefit-cost ratio of the abatement investment project, at the point where it is optimal to invest, is independent of what regulatory regime (stringent or lenient) the firm operates in. We also conclude that despite the fact that voluntary abatement investment exists, there may still be room for environmental policy.     

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.     

Efficient Dynamic Pollution Taxation in an Uncertain Environment

This paper analyzes efficient pollution taxation within a stochastic model of endogenous growth. Pollution is a by-product of production and causes disutility. Furthermore, the productivity which results from environmental quality is uncertain. This reflects e.g. uncertain capital depreciation induced by natural disasters like hurricanes or floods. This uncertainty is shown to raise an ambiguous impact on the optimal pollution level as well as on optimal environmental taxation. Market equilibrium turns out to be suboptimal, since the households mis-perceive their individual impact on pollution. Conditions for welfare maximizing pollution taxation are stated and it is shown that a direct pollution tax is not appropriate to yield Pareto-optimal growth. Instead, a linear capital income tax together with a linear abatement subsidy build an efficient tax scheme, if secondarily the governmental budget is balanced. Moreover, an increase in the riskiness of environmental productivity may even lead to an increase in the optimal pollution level and to a decrease in optimal environmental taxation, depending predominantly on the preference parameters.      

Intertemporal transfers of emission quotas in climate policies

We are interested in situations in which governments are committed to some pollution abatement constraint which does not match the society's most preferred level of pollution, like in the current climate change policies undergone on behalf of the Kyoto protocol. We develop an overlapping generations model with capital and pollution in which the individuals care about the environmental quality. We show that slightly improving the intertemporal flexibility of the emission quotas by authorizing two-period backward and forward transfers allows to decentralize the whole optimal growth path at competitive equilibrium.     

Environmental Abatement and the Macroeconomy in the Presence of Ecological Thresholds

We study the environmental and economic effects of public abatement in the presence of multiple stable steady-state ecological equilibria featuring reversible hysteresis. The isocline for the stock of pollution possesses two stable branches. Assuming that the ecology is initially located on the upper (high pollution) branch of the isocline, a simple time-invariant temporary abatement policy can be used to steer the environment from the high- to the low-pollution equilibrium. In all models considered in this paper, a “cold turkey” abatement policy is optimal within the class of stepwise policies, i.e. the largest feasible shock should be administered for the shortest possible amount of time. The cold-turkey result is robust to alternative models for the economic system, although there is a capital feedback effect that either helps or hinders the speed of transition to the low-pollution equilibrium.     

The impact of environmental regulation on productivity in German industries

The objective of this paper is to adjust a traditional total factor productivity (TFP) measure for the direct effect of environmental regulation on material and capital input. For this purpose we consider the fact that part of material input and pollution abatement capital have not been used to increase output but to cover the cost of using the environment as a factor of production. Therefore TFP growth rates are lower if part of the material input is allocated to abatement activities instead of producing output. We propose to treat compliance with environmental regulation as an unproductive input linked to the use of productive material input. Our aim is to answer and discuss two questions: How to measure the effect of environmental regulation on TFP, and does the effect matter. We examine data from 1975–1991 for ten pollution intensive German industries.We would like to thank Cornelia Oßwald for valuable research assistance. We are especially grateful to two anonymous referees for many helpful comments.     

Uncertainty over future environmental taxes

Besides static efficiency properties, environmental policies should be evaluated in terms of their longer-run impacts on investment and technological change to reduce pollution and degradation of natural resources. Using a stochastic dynamic programming approach, this paper analyzes how uncertainty about a future environmental tax on a polluting input alters investment in resource conservation and how such investment affects future demand for the polluting input. The impact on investment depends crucially on price elasticities of demand and on the manner in which investment shifts and rotates the demand schedule for the polluting input in the future. The expectation of a higher tax does not necessarily create stronger incentives for investment in resource conservation. More uncertainty about future policies does encourage investment if it makes a firm more responsive to future price changes and discourages investment if it makes a firm less responsive to price changes.     

Precautionary Principle and Robustness for a Stock Pollutant with Multiplicative Risk

The interest shown by policy makers and economists in the precautionary principle indicates the importance of model uncertainty in global warming policy. I show that through robust control, policy makers can implement the precautionary principle to regulate a stock pollutant, and I analyze its effect on expected steady state pollution taxes, stocks and welfare. The paper is broadly comprised of a theoretical part and an application to global warming policy. I find that: (1) an increase in either uncertainty about the model or risk about abatement cost increases expected steady state pollution taxes; (2) a robust policy is preferred for any level of model uncertainty and this preference increases for either higher model uncertainty or higher multiplicative risk and (3) the effect on expected steady state pollution taxes and stock of introducing model uncertainty is relatively small for high levels of model uncertainty. These results advocate using robust policies for a stock pollutant in the presence of model uncertainty.      

Environmental regulation and production structure for the Korean iron and steel industry

The most important obstacle to studying the structure of production under environmental regulations is the lack of price data for abatement capital. The use of a restricted cost function circumvents the problem of missing prices for some inputs. This paper estimates a restricted cost function for the Korean iron and steel industry based on the quantities of raw material and abatement capital over the period 1982–2001. The Allen elasticities of substitution between abatement capital and other inputs are calculated, and the shadow price of abatement capital is derived.     

Are short‐term effects of pollution important for growth and optimal fiscal policy?

We study optimal fiscal policy in a stock‐flow model of the environment within an endogenous growth framework, where some pollutants have a lasting impact on environmental quality which is restored through abatement expenditure, while others dissipate and hence, have a short‐term effect on the environment. All pollutants, however, affect the productivity of a public good negatively. Given that short‐term pollution, although it dissipates, is irreversible in this sense, a government cannot ignore its negative effects since this type of pollution lowers the productivity of all inputs. We find that a larger negative effect of short‐term pollutants as well as a higher congestion effect of private capital leads to corrective fiscal policies with higher optimal income tax and abatement expenditure rates, which have favorable growth consequences. Interestingly, we find that the rate of short‐term pollution does not affect optimal fiscal policy while that of the long‐term pollution does.     

Cost Uncertainty and Unilateral Abatement

Unilateral abatement is sometimes advocated in order to set a good example that will make other countries follow. The aim of this paper is to investigate whether existence of correlated cost uncertainty provides an incentive for a country to undertake unilateral abatement. The theoretical model is driven by two main mechanisms; first, a learning effect, as the follower country might reduce its risk premium as it can observe the cost level in the leader country. Second, there is the public good effect, i.e., the marginal benefit of abatement declines when abatement is a public good and other countries contribute to pollution reductions. Results shows that unilateral abatement would be efficient in reducing uncertainty about the unit costs of abatement if a country with low cost uncertainty would undertake abatement first, while a country with initially high cost uncertainty would follow. However, countries may prefer to act simultaneously because of the larger uncertainties that are inherent in a sequential game.      

The trade-off between environmental care and long-term growth—Pollution in three prototype growth models

The effects of increased environmental care on optimal technology choice and long-term growth are studied for an economy in which pollution is a side-product of physical capital used in production. First, it is shown that in case of a standard neoclassical production structure, the result is a less capital-intensive production process whereas the long-run growth rate is not affected. Next, we introduce assumptions of the endogenous growth literature. When there are constant returns to physical capital, an increase in abatement activities crowds out investment and lowers the endogenous growth rate. When human capital accumulation is the engine of growth, physical capital intensity declines and the endogenous optimal growth rate is unaffected by increased environmental care or is even higher, depending on whether or not pollution influences agents' ability to learn.The authors are grateful to an anonymous referee, to Lans Bovenberg, Noud Gruijters, Theo van de Klundert, Lex Meijdam, and Sweder van Wijnbergen for helpful and stimulating comments. The views expressed in this paper are the authors' own and should not be attributed to the Ministry of Finance.