Environmental impact of household activity in Spain

The objective of this paper is to analyse the environmental impacts of the Spanish economy by way of water and atmospheric pollution on the basis of a Spanish Accounting Matrix for 1999. Only households were taken as an exogenous account. The pollution measures are estimated for seven categories of pollution: three atmospheric pollutants (CO₂, NO_x and SO_x) and four indicators for water (waste water, nitrogen, metals and biological oxygen demand (BOD)). The environmental data base was obtained from the Spanish Statistical Institute.The analysis reveals that pollution in Spain is closely linked to food production, energy, extractive industries and paper manufacturing. We show that services, taken as a whole, are major polluters, though this is due to the volume of household expenditure they represent rather than their pollution potential as such. We also show that the Spanish economy avoids a great deal of pollution by importing inputs, which pollute where they are produced. Finally, the study also provides per capita pollution values for the aforementioned seven pollutants.     

COMPARATIVE STATICS OF A MONOPOLISTIC FIRM FACING RATE‐OF‐RETURN AND COMMAND‐AND‐CONTROL POLLUTION CONSTRAINTS

The intrinsic comparative statics properties of a general rate‐of‐return regulated, profit‐maximizing model of a monopolist facing a command‐and‐control pollution constraint are derived. Recent advances in the theory of comparative statics are used to derive the basic comparative statics of the model, which are contained in an observable negative semi‐definite matrix and possess the form of Slutsky‐like expressions. We consider several command‐and‐control pollution constraints that are commonly implemented in practice, and conclude that the intrinsic comparative statics properties of the model are qualitatively invariant to the type of command‐and‐control pollution constraint imposed. We compare our results with those extant, and find that several basic results from the standard A–J model no longer hold in our model.     

Optimal environmental taxation and enforcement policy

We study the optimal environmental taxation and enforcement policy when (i) the regulator does not know the firms’ abatement costs, (ii) penalties for tax evasion are limited, and (iii) monitoring of pollution is costly. We show that the threat of being audited alter the usual firms’ incentives to over-estimate their abatement costs. In particular, depending on the firms’ abatement costs, the optimal policy may involve over or under-deterrence compared to the full information outcome. We then investigate the properties of a pollution standard. We show that this policy comes close to an environmental tax once the economic incentives of the accompanying enforcement policy are considered.     

A dynamic general equilibrium model of pollution abatement under learning by doing

In 2013, Beladi et al. constructed a dynamic general equilibrium model of pollution, and characterized a steady-state equilibrium. In this paper, we extend Beladi et al.’s model to an even more general model in which the pollution abatement costs under learning by doing are taken into account. In our model, the instantaneous abatement costs depend on both the rate of abatement and the experience of using a technology. Our objective is to apply optimal control theory to investigate the dynamic general equilibrium model of pollution abatement, and derive the steady-state equilibrium properties and optimal levels of emission permits and pollution treatment.     

Democracy and environmental quality

We develop and estimate an econometric model of the relationship between several local and global air pollutants and economic development while allowing for critical aspects of the socio-political-economic regime of a State. We obtain empirical support for our hypothesis that democracy and its associated freedoms provide the conduit through which agents can exercise their preferences for environmental quality more effectively than under an autocratic regime, thus leading to decreased concentrations or emissions of pollution. However, additional factors such as income inequality, age distribution, education, and urbanization may mitigate or exacerbate the net effect of the type of political regime on pollution, depending on the underlying societal preferences and the weights assigned to those preferences by the State.     

Are Democracies Cleaner?

We inquire whether democracies enjoy lower pollution levels than autocracies by investigating the ‘clean democracy hypothesis’, which posits that democracies have a more demand-determined policy formation leading to more stringent environmental policies. We test this hypothesis with a large data set covering 137 countries and the period 1970–2012 using eleven different air pollutants as endogenous variables and a wide range of control variables measuring democracy, development stage, globalization, and factor endowments. We find no consistent evidence that democracies are cleaner, not even the richer ones, which casts doubt on the validity of single pollutants studies. Numerous checks show the robustness of our results.     

Optimal pollution control in a mixed oligopoly with research spillovers

We study optimal pollution abatement under a mixed oligopoly when firms engage in emissions‐reducing research and development (R&D) with imperfect appropriation. The regulator uses a tax to curb emissions. Results show that in a mixed oligopoly, the public firm has positive emissions reduction in equilibrium; however, emissions reductions of the private firm could be positive or zero. Under certain conditions, the optimal pollution tax is positive; otherwise, the tax reverts to a subsidy. Comparing mixed and private duopolies, privatisation leads to reductions in R&D and output, but to an increase in overall emissions, so privatisation tends to make the environment worse.     

Environmental regulation and trade openness in the presence of private mitigation

Acknowledging the differential ability of individuals to privately mitigate the consequences of domestic pollution for their health is essential for an understanding of their demands for regulation of the environment and of trade in dirty goods, and for analysis of the implications of these demands for equilibrium policy choices. In a small open economy with exogenous policy, we first explain how private mitigation at a cost results in an unequal distribution of the health consequences of pollution in a manner consistent with epidemiologic studies, and consequently how the benefits and costs of trade in dirty goods interact with choices concerning private mitigation to further polarize the interests of citizens concerning environmental stringency. The economy is then embedded in a broader political economy setting, and simulated to investigate the role of private mitigation in shaping political equilibria. We show that when citizens can choose between mitigating the health consequences of domestic pollution privately and reducing pollution through public policy, the same polarization of interests underlies equilibrium policy choices in both democratic and autocratic regimes.     

Environmental policy and lobbying in small open economies

This paper analyzes consequences of lobby group activity for policy outcomes in economies with transboundary pollution and international environmental policies. International environmental policies are here characterized as pollution taxes determined in a negotiation between two countries. The optimal pollution taxes are characterized and comparative statics are carried out to increase the understanding of mechanisms underlying pollution taxes in the specified setup. It is found, among other things, that the presence of local lobbying may decrease, as well as increase pollution taxes - depending on, e.g. an assumption of symmetry.     

Pollution and corporate valuation: evidence from China

Environmental pollution brings severe challenges in the context of a high growing economy of China. Pollution events bring serious ecological cost to the environment, direct costs from sanction, and reputational damage to the listed firms. We study the market reaction to 145 pollution events in China during Jan 2008 and Feb 2015. We find that the 2-day cumulative abnormal returns (CARs) of pollution events are significantly negative, which shows the disciplining effect of the stock market on the listed firms. In addition, pollution events with sanctions have lower CARs than otherwise, which are heterogeneous among different sanction types such as shutting down, fines and rectification. Finally, water pollution has lower CARs than other pollution types. We find that direct economic loss is an important reason for the negative market reactions to pollution events.     

Environmental Policy with Endogenous Technology from a Game Theoretic Perspective: The Case of the US Pulp and Paper Industry

The merits of different types of regulatory tools in eliminating pollution and at the same time inducing innovation have long been an interest of researchers in both environmental economics and industrial organization. Although there is a substantial theoretical literature investigating the potential for various environmental policies to attain these dual goals, this is a challenging empirical problem because every industry has its own inherent characteristics that play an important role in determining the performance of different regulatory tools. The majority of the work to date focuses on pollution abatement while leaving pollution prevention understudied. In most of the literature firms are also assumed to be symmetric. Asymmetries among firms add another degree and level of complexity to their strategic interactions, and affect the performance of different regulatory tools. This paper investigates the performance of two alternative regulatory tools, an emissions performance standard and an emissions tax, in reducing pollution and inducing pollution prevention and abatement R&D in the US pulp and paper industry. We construct a model representing the industry in an asymmetric Cournot duopoly framework, calibrate the model to disaggregated industry data, and run scenarios to replicate the behavior of the firms in an imperfectly competitive output market. Our results suggest that pollution prevention R&D can respond quite differently than abatement R&D to different policy instruments. The results indicate that R&D spillovers among firms play crucial role in technology development and strategies of the firms. Our results also suggest that strategic interactions between firms in an imperfectly competitive industry can have significant impacts of the levels of both types of R&D.      

Precaution under mixed uncertainty: Implications for environmental management

A model of pollution control subject to two types of uncertainty is presented. First, the natural decay of the pollution stock follows stochastic dynamics that drives a diffusion pollution process (“stochastic uncertainty”). Moreover, the damage coefficient which determines the amount of damage corresponding to each pollution stock can undergo an abrupt increase at some uncertain future time (“event uncertainty”). The model admits an explicit and simple dynamic characterization of the optimal emission rule and the ensuing pollution process. When only one type of uncertainty is permitted (by setting either the variance of the stochastic process or the hazard rate for the damage increase to zero) it acts to promote the intuitive response of precaution. However, allowing the two types to interact gives rise to a non-monotonic behavior, whereby increasing the stochastic variance first enhances, then diminishes the response to the hazard. The results confirm and expand recent findings based on discrete-time formulations.     

Endogenous Pollution Havens: Does FDI Influence Environmental Regulations?*

We suggest a novel perspective on the relationship between the stringency of environmental policies and foreign direct investment (FDI). We develop a political economy model with imperfect product market competition where local and foreign firms jointly lobby the local government for a favorable pollution tax. FDI is found to affect environmental policy, and the effect is conditional on the local government's degree of corruptibility. If the degree of corruptibility is sufficiently high (low), FDI leads to less (more) stringent environmental policy, and FDI thus contributes to (mitigates) the creation of a pollution haven. Our empirical results using panel data from 33 countries support the predictions of the model.     

Learning about compliance under asymmetric information

Over time, inspection agencies gather information about firms’ pollution levels and this information may allow agencies to differentiate their monitoring strategies in the future. If a firm is less successful than its peers in reducing emissions, it faces the risk of being targeted for increased inspections in the next period. This risk of stricter monitoring might induce high-abatement cost firms to mimic low-abatement cost firms by choosing lower emission levels, while the latter might try to avoid being mimicked. We explain firms’ compliance decisions and the inspection agency's monitoring strategy by means of a signaling game which incorporates dynamic enforcement and learning. Interestingly, we show that the ongoing signaling game between firm types might lead to firms over-complying with the emission standard.     

Knightian uncertainty and moral hazard

This paper presents a principal-agent model in which the agent has imprecise beliefs. We model this situation formally by assuming the agent?s preferences are incomplete as in Bewley (1986) [2]. In this setting, incentives must be robust to Knightian uncertainty. We study the implications of robustness for the form of the resulting optimal contracts. We give conditions under which there is a unique optimal contract, and show that it must have a simple flat payment plus bonus structure. That is, output levels are divided into two sets, and the optimal contract pays the same wage for all output levels in each set. We derive this result for the case in which the agent?s utility function is linear and then show it also holds if this utility function has some limited curvature.     

Supplementing Domestic Mitigation and Adaptation with Emissions Reduction Abroad to Face Climate Change

In this paper we focus on a long-term dynamic analysis of the optimal adaptation/mitigation mix in the presence of a pollution threshold above which adaptation is no longer efficient. We account for accumulation in abatement capital, greenhouse gases, and adaptation capital in order to better capture the arbitrage between abatement and adaptation investments. Pollution damages arise from the emissions due to the country consumption but also from the emissions of the rest of the world (ROW). A pollution threshold is then introduced, above which adaptation is no longer efficient. We obtain that if this threshold is lower than the steady-state level of pollution, there is no way for the modelled economy to avoid it. In particular, such a situation will appear if the ROW’s emissions are high. We then show that CDM may be a means to avoid a pollution threshold above which adaptation becomes of no use.     

The costs of uncoordinated regulation

Patents encourage firms to undertake research and development by protecting innovator revenues from competition. Controls on pollution of the environment are intended to close the gap between the private and social costs of natural resource use. This paper examines the incentives that are created by the interaction of these two separate pieces of regulation. A model is developed that shows how an incumbent, patent-holding firm can take advantage of environmental regulation to exclude rivals from her market.     

Investment and emission control under technology and pollution externalities

This paper studies incentives to develop advanced pollution abatement technology when technology may spillover across agents and pollution abatement is a public good. We are motivated by a variety of pollution control issues where solutions require the development and implementation of new pollution abatement technologies. We show that at the Nash equilibrium of a simultaneous-move game with R&D investment and emission abatement, whether the free rider effect prevails and under-investment and excess emissions occur depends on the degree of technology spillovers and the effect of R&D on the marginal abatement costs. There are cases in which, contrary to conventional wisdom, Nash equilibrium investments in emissions reductions exceed the first-best case.     

Fresh Cadres bring Fresh Air? Personnel Turnover,Institutions, and China's Water Pollutions

Weak law enforcement is usually blamed for the dramatic deterioration of the environment in China. Using a panel data covering 287 Chinese prefecture‐cities during 2004–2011, we investigate the role of personnel turnover and institutions in water pollution. We show that water pollution deteriorates with the tenure of incumbent mayors. Mayor turnover and institutional quality are associated with lower pollution. Furthermore, personnel turnover and institutions complement each other in mitigating pollution: the influence of mayor turnover on pollution reduction is larger in the cities endowed with stronger executive constraints. We also suggest some channels through which personnel turnover affects water pollution. In general, we illustrate that the turnover of cadres has only limited and temporary effects in mitigating pollution.     

The shadow price of assimilative capacity in optimal flow pollution control

We present a model of optimal flow pollution control considering explicitly the dynamics of the corresponding assimilative capacity. We focus first on the degradation of this assimilative capacity triggered by pollution excesses and determine the intertemporal efficient pollution path, taking into account this ecological feedback. Our analysis shows that a minimum level of initial assimilative capacity is necessary to prevent its optimal extinction. We then allow for the restoration of assimilative capacity and characterize the conditions under which this option frees the optimal policy from the dependency on the initial conditions. In both cases our results call for environmental standards based on the shadow price of assimilative capacity that are stricter than the static optimum commonly used in flow pollution control.