The stock market effect of air pollution: evidence from China

In financial studies, environmental stimuli such as sunshine, temperature, and daylight are often used as proxies for people’s collective mood swings to test their effects on the stock market. China has experienced serious air pollution problems in recent years, and Chinese public awareness of air pollution has soared. In this paper, we use China as a natural experiment to investigate the effect on stock returns of depressed moods induced by air pollution. Daily air-pollution data from 2005 to 2014 are analysed and the results obtained from the empirical research show that a contemporaneous negative and a two-day lagged positive relationship exists between air pollution levels and stock returns over this time period. The relationship is mediated by the influence of air pollution on investment decisions. The results also indicate that the effect is weakened for companies that protect air quality, but no stronger effect is detected for polluting companies. The findings imply that air pollution is a behavioural factor with some connection to stock returns in China.     

The effect of China's driving restrictions on air pollution: The role of a policy announcement without a stated expiration

Driving restrictions keep cars off the street largely on the basis of the last digit of the license plate number. This paper evaluates how different driving restriction policies affected the air quality of the 17 cities in Henan, one of China’s most populous provinces, from 2017 to 2019. I offer a novel way to categorize driving restrictions by making a distinction between cities that announced driving restrictions without a stated expiration and other cities that announced driving restrictions with a stated expiration. I provide some suggestive evidence on the exogeneity of timing, and using two-way fixed effects, I find significant heterogeneity in policy effectiveness. The policy reduced particulate matter concentration in cities that announced driving restrictions without a stated expiration, but had no effect in cities that announced driving restrictions with a stated expiration. To explain this difference, I build a model, which implies that driving restrictions announced without a stated expiration can induce people to pay a high fixed cost in exchange for a low transit time and not to choose non-compliance, two behavioral changes with the potential to further reduce air pollution. Thus, managing the duration of a policy and people’s expectations of its duration can matter crucially for the policy’s effectiveness.     

Externalities in a spatial context: The case of air pollution

In this paper air pollution externalities are analyzed in an explicit spatial setting that recognizes the spatial interdependence of polluters and their victims. Optimal environmental policies are shown to consist not only of Pigouvian taxes but of two other policies. First, regulations controlling the allocation of land between polluters and victims are needed. Secondly, if pollution taxes are imposed by local governments, in general it will be necessary for the federal government to take some of the tax proceeds and redistribute them amongst localities. For example, some of the proceeds in heavily taxed and polluted communities may have to be redistributed to lightly taxed and polluted communities.     

The politics of pollution: party regimes and air quality in Canada

Abstract. Environmental concerns often figure prominently in opinion polls. But do election outcomes actually affect the environment? I test the influence of the party in power on urban air pollution in 13 Canadian cities. The government's political stripe is not reliably associated with positive or negative effects on air pollution. Provincial parties on both the right and the left are associated with elevated levels of some air contaminants. Federal effects also go in contrasting directions. Overall it appears a change in government is unlikely to be a reliable predictor of changes in air pollution. JEL classification: Q51, Q58, D78     

The effectiveness of gasoline taxation to manage air pollution

Higher gasoline taxes can be justified because cars cause significant local, regional, and global air pollution damages. This study examines whether charging higher taxes would result in significant emission reductions. Both experimental survey data and actual behavior in Southern California and Connecticut are evaluated to explore whether people would change their driving behavior in response to higher gasoline prices. Both sets of results reveal that drivers are price inelastic in the short run (−0.4 to −0.6) and long run (−0.5 to −0.7). Imposing environmental surcharges on gasoline will result in only a small reduction in driving and thus only a small improvement in the environment. Such taxes will place a heavy and clear burden on drivers, however, making gasoline taxes extremely unpopular. Finally, the study finds that the income elasticity of gasoline is low (0.1–0.2) so that the gas tax will fall heavily on the poor.     

The design of optimal climate policy with air pollution co-benefits

This paper develops a model of an optimal regulatory program for greenhouse gases (GHGs) emissions that accommodates the benefits due to reductions of co-pollutants including: sulfur dioxide (SO₂), nitrogen oxides (NO_x), volatile organic compounds (VOC), and fine particulate matter (PM_2.5). Employing per ton damage estimates for the co-pollutants produced by an integrated assessment model, co-pollutant damage estimates per ton carbon dioxide equivalent (CO₂e) are developed for over 10,000 sources of GHGs in the lower 48 states including both transportation sources and electric power generation. For coal-fired electric power generation, the co-pollutant damages are larger in magnitude than recent peer-reviewed estimates of the marginal damage for GHGs. The co-pollutant damage per ton CO₂e varies considerably across source types and source location. The paper estimates the welfare gain from adopting a policy that encompasses the spatially variant co-pollutant damage to be between $1 million and $85 million annually. The range depends on the slope of the marginal abatement cost curve. The paper also shows that a distortionary aggregate emission cap reduces the advantage of differentiated policy. Provided an excessively strict cap, the spatially differentiated policy may reduce aggregate welfare. This result has important implications for GHG policy in the United States; although co-pollutant benefits of abating GHGs have been shown to be significant in magnitude, tailoring climate policy to reflect these source-specific co-benefits is not necessarily socially beneficial. This bolsters arguments for upstream policy designs.     

The effect of uncertainty on pollution abatement investments: Measuring hurdle rates for Swedish industry

We estimate hurdle rates for firms’ investments in pollution abatement technology, using ex post data. The method is based on a structural option value model where the future price of polluting fuel is the major source of uncertainty facing the firm. The empirical procedure is illustrated using a panel of firms from the Swedish pulp and paper industry, and the energy and heating sector, and their sulfur dioxide emissions over the period 2000–2003. The results indicate that hurdle rates of investment vary from 2.7 to 3.1 in the pulp and paper industry and from 3.4 to 3.6 in the energy and heating sector depending on econometric specification.     

Contingent valuation of ill health caused by pollution: testing for context and ordering effects

Contingent valuation is being increasingly used to value episodes of ill health caused by environmental pollution. In contrast to studies that have used contingent valuation to value other types of non-market goods, health episode valuation studies have tended to 1) value several ill health episodes or symptoms in the same survey, and 2) be vague in the survey instrument about the cause of the ill health, how it would be avoided or how the improvement would be paid for. The resulting values are then combined with exposure-response functions to generate economic estimates of health damages from pollution. This study tests whether episode valuation responses are sensitive to two of these design features. In a five-country study using split sample treatments, neither episode ordering nor mention of the cause of the ill health influenced stated willingness to pay to avoid specific ill health episodes.JEL Classification: C42, I12, Q51 Correspondence to: Richard ReadyThis research was supported by the European Unions Environment and Climate Research Programme: Theme 4 - Human Dimensions of Environmental Change (contract no. ENV4-CT96-0234). Any views expressed in the paper are not necessarily the views of any of the authors employers.     

Transboundary air pollution and soil acidification: A dynamic analysis of an acid rain game between Finland and the USSR

Transboundary air pollution is analysed as a dynamic game between Finland and the nearby areas of the Soviet Union. Sulphur emissions are used as the environmental control variables and the acidities of the soils as the state variables. Acidification is consequently considered to be a stock pollutant having long-lasting harmful effects on the environment. The state dynamics consist of two relationships: first, of a sulphur transportation model between the regions and, second, of a model describing how the quality of the soil is affected by sulphur deposition. The countries are assumed to be interested in maximizing the net benefits from pollution control as measured by the impacts on the values of forest growth net of the abatement costs. Cooperative and noncooperative solutions of the game are compared to assess the benefits of bilateral cooperation. Using empirical estimates of abatement costs, acidification dynamics and impacts on forest growth it is shown that cooperation is beneficial to Finland but not to the Soviet Union. Consequently, Finland has to offer monetary compensation to induce her neighbor to invest in environmental protection.     

Effects of environmental regulation on air pollution control in China: a spatial Durbin econometric analysis

Journal of Regulatory Economics - Based on provincial panel date of China for the period 2001–2014, this study empirically adopts the slacks-based measure of directional distance function...     

Measuring environmental quality: an index of pollution

This paper develops an index of pollution based on the epidemiological dose-response function associated with each pollutant, and the welfare losses due to exposure to pollution. The probability of damage is translated into welfare losses, which provides the common metric required for aggregation. Isopollution surfaces may then be used to compare environmental quality over time and space. An Air Pollution Index (API) is computed using 1997 data for the criteria pollutants under the Clean Air Act (CAA). The results are compared with the EPA's Pollutant Standards Index (PSI). Two significant differences emerge: unlike the PSI, the API facilitates a detailed ranking of regions by air quality and API values may contradict PSI results. Some regions with PSI values of 100–200 are considered less polluted under the proposed methodology than those with PSI values between 50 and 100. The key reason for the difference is that PSI values are determined entirely by the gas with the highest relative concentration whereas the API value is based on the ambient concentrations of all pollutants.     

The effect of military expenditure on growth: an empirical synthesis

Using a sample of 272 meta-observations drawn from 48 primary studies, this paper conducts a meta-analysis of the empirical literature that examines the impact of military expenditure on economic growth. We find that existing studies indicate growth-retarding effects of military expenditure. The results from the meta-regression analysis suggest that the effect size estimate is strongly influenced by study variations. Specifically, we find that underlying theoretical models, econometric specifications, and data type as well as data period are relevant factors that explain the heterogeneity in the military expenditure–growth literature. Results also show that positive effects of military expenditure on growth are more pronounced for developed countries than less developed countries.     

The effect of unemployment on labour productivity: an international comparative analysis

This is a comparative empirical analysis of the effect of unemployment - via a ‘work-intensity effect’ and/or a ‘workplace-innovation effect’ - on manufacturing productivity growth in eight advanced capitalist economies. My econometric results confirm earlier findings of positive work-intensity and workplace-innovation effects of unemployment on productivity growth in the United States; but I do not obtain similarly strong results for the other countries, and in Germany and Sweden I find evidence of negative unemployment effects. My findings are consistent with the comparative hypothesis that the sign and strength of unemployment effects on productivity growth will vary negatively with the degree to which a country's socioeconomic environment is characterized by cooperative capital-labour relations and worker security.     

Effects of different environmental regulations and their heterogeneity on air pollution control in China

This study endeavors to explore the impact of different environmental regulations and their heterogeneity on air pollution control in China. By employing a slacks-based measure of directional distance function model, considering undesirable outputs, the efficiency of air pollution control of China’s 30 provinces during 2001–2014 is evaluated. The estimates indicate that the efficiency of air pollution control is fluctuating, and there is obvious regional differences. By using provincial-level panel data and panel threshold models, empirical results show that: (1) There is a nonlinear relationship between environmental regulation and air pollution control efficiency, and it can be positively correlated, but it is constrained by the stringency of regulation: there is a single threshold for formal (command-and-control (CAC) and market-based) regulation, while there is a double threshold for informal regulation. (2) Different environmental regulations have different governance effects. Compared with CAC regulation, market regulation can attract more attention of enterprises. (3) It may be ineffective to expect informal regulation to improve the air pollution control efficiency. Therefore, in order to achieve real sustainable development, the government should set up reasonable regulation stringency and optimize the combination of regulation tools.

     

Benchmarking an optimal pattern of pollution trading: The case of Cub River,Utah

This paper employs a recently developed, dynamic trading algorithm to establish a benchmark pattern of trade for a potential water quality trading (WQT) market in the Cub River sub-basin of Utah; a market that would ultimately include both point and nonpoint sources. The algorithm accounts for three complications that naturally arise in trading scenarios: (1) combinatorial matching of traders, (2) trader heterogeneity, and (3) discreteness in abatement technology. The algorithm establishes as detailed a reduced-cost benchmark as possible for the sub-basin by distinguishing a specific pattern of trade among would-be market participants. As such, the algorithm provides a benchmark against which an actual pollution market's performance could conceivably be compared. We find that a benchmarked trading pattern for a potential Cub River WQT market – where each source, point or nonpoint, would be required to reduce its pollution loadings – may entail some point sources selling abatement credits to nonpoint sources.     

The effects of haze pollution on stock performances: evidence from China

Haze pollution has become the most important environmental issue in China in recent years. Using the data of PM_2.5 concentration and stocks of listed companies located in Beijing between 2010 and 2014, this article investigates the effects of haze pollution on stock performances. Empirical results indicate that haze pollution has significant negative effects on stock returns and significant positive effects on stock volatilities, through the channel of investors’ mood. Furthermore, the effects of haze pollution on stock returns emerge gradually and the effects of haze pollution on stock volatilities weaken gradually over time during a trading day.     

Uncertainty and pollution: The role of indirect taxation

This paper explores the potential usefulness of indirect taxation as a supplement to effluent charges. It is argued that effluent charges should typically be accompanied by taxes on privately traded commodities linked to the pollutant in consumption or production. The performance of such combinations of taxes and charges is then compared to that of an effluent standard.     

The net effect of advice on strategy-proof mechanisms: an experiment for the Vickrey auction

Experimental Economics - We conduct laboratory experiments for the multi-unit Vickrey auction with and without advice to subjects on strategy-proofness. The rate of truth-telling among the subjects...     

The effect of cash flow on investment: an empirical test of the balance sheet theory

Using a large data set on investments and accounting information for private firms, we put the balance sheet theory to test. We find that firm cash flow has a positive impact on investment and that the effect is enhanced for firms which are more likely to be financially constrained. We also find that the investment-cash flow sensitivity is significantly larger and more persistent during the first half of our sample period, which includes a severe banking crisis and recession. Our results suggest that financial constraints matter more in periods characterized by adverse economic conditions.