Journal of Environmental Economics and Management最新文献

This article uses satellite data to estimate the effectiveness of government protection on forested land across the globe over 2000–2022. Since deforestation can have significant negative externalities, measuring the effectiveness of protected areas is important for the future of conservation. It uses a regression discontinuity design at the boundaries of protected forest to counter the fact that protection is not randomly assigned. It estimates that protected areas are 30% effective on average, with significant heterogeneity between countries. Many countries with significant forest have extremely ineffective protection, such as Indonesia, the DRC, and Bolivia, suggesting that improvements to the quality of protection are just as important as the quantity of protected areas to conserve biodiversity.

This paper examines how different types of eco-innovation activities affect firms’ employment patterns. Using a linked employer–employee administrative dataset for the Netherlands we take an individual level task-based approach to differentiate between green and non-green jobs within firms. Our results show that while eco-innovation does not impact overall employment, eco-product innovation does lead to a 19.72% increase in green jobs. The growth in green jobs mainly comes from a compositional shift towards a small yet significant increase in green workers and reduction in non-green workers. Further analysis suggests that firms that voluntarily undertake eco-innovation create more green jobs but also that it is subsidy-driven policies rather than stricter regulations that drives the increase in green employment.

We use a randomized controlled trial in Bangladesh to test three types of non-price energy conservation strategies that influence electricity consumption of households: (i) advice on electricity conservation methods (knowledge treatment); (ii) (median) electricity consumption of others in the suburb (suburb comparison); and (iii) (median) electricity consumption of neighbors (neighbor comparison). We find that providing advice on saving energy could reduce households' electricity consumption and bills significantly. The effects are stronger for advice on electricity conservation methods than neighbor and suburb comparisons. The effects of providing information about own electricity consumption relative to neighbors’ electricity consumption is similar to the effects of giving information about own electricity consumption relative to electricity consumption of households in the same suburb. The effects among households who were inefficient users in neighbor and suburb comparison groups are almost as strong as those in the knowledge treatment group. The effects across all treatment groups become stronger over time as they receive repeated information.

Migration of U.S. residents across counties impacts energy consumption and, as a result, the environment. This paper leverages county-level migration data, structural energy consumption estimation techniques, and the AP3 environmental damage model to estimate the emissions impact of migration by county over time. Migration is found to have reduced U.S. environmental damage by $213 billion over the period 1991–2019, with average annual environmental benefits of $15 billion in the 1990s but -$2 billion in the 2010s. The paper also finds a significant reduction in the cost of emissions from energy consumption over time. (JEL Q51, Q56, J11, R23, Q48)

We price the transboundary externality of mobile public bads such as diseases and invasive species. We focus on the marginal cost to country B of an increase in the stock (i.e. an “outbreak”) in country A. These cross-jurisdiction marginal costs depend not only on economic, ecological, and spatial features of both jurisdictions but also on jurisdictions’ strategic reactions to the outbreak. Using a spatial dynamic game, we calculate the “cross-jurisdiction shadow costs” of an outbreak of mobile public bad under the Markov-perfect Nash equilibrium of control efforts. We find that under reasonable conditions, the source country has private incentives to control the outbreak itself, which can lead to a situation where the cross-jurisdiction shadow cost is, in fact, zero. We also derive conditions where a country optimally fails to control the outbreak (for example, damages in that country are small), in which case cross-jurisdiction shadow costs are positive. Finally, we note that since cooperative control of the mobile public bad delivers substantially higher welfare than non-cooperative control, we derive an externality pricing instrument that perfectly internalizes the externality and induces cooperative control among all countries.

We study the causal relationship between air pollution and dementia prevalence. Leveraging the strict air pollution regulations implemented during the 2008 Beijing Olympics and employing a Synthetic Difference-in-Differences (SDID) approach, we find that a 1 $\mu {\mathrm{g/m}}^3$ decrease in annual PM₁₀ levels corresponds to a 0.82 percentage point reduction in dementia prevalence (equivalent to 2.39% of the mean). Analyses across demographics show a more pronounced impact on vulnerable groups. Moreover, an economic assessment suggests that a 10 $\mu {\mathrm{g/m}}^3$ reduction in China’s air pollution in 2010 could generate up to 2.36 billion US dollars in benefits due to a lower dementia prevalence. These results highlight the potential public health gains achievable through air pollution regulations.

Tax aversion makes it politically challenging to introduce Pigouvian taxes. One proposed solution to overcome this resistance is to package policies. Using an online lab experiment, we investigate whether combining a tax and a subsidy is perceived as more acceptable than the tax or the subsidy alone. The purpose of the policies is to reduce demand for a good with a negative externality to the socially optimal level. We find that support for a combination of a tax and a subsidy equals the simple average of support for the two instruments alone. Combining a tax and a subsidy therefore does not reduce tax aversion. We examine potential mechanisms behind the tax aversion. Participants believe they will receive a lower share of the tax revenue when the tax is implemented alone than when it is combined with a subsidy, i.e. the participants in the tax alone group hold more pessimistic beliefs about the tax revenue. We also find that the participants expect the tax to be more effective in reducing demand for the good with a negative externality than both the subsidy alone and the combinations of tax and subsidy. This belief does not, however, translate into support for the tax.

Nearly a decade after the 2015 emissions scandal, Volkswagen has transitioned from marketing deceptive ‘clean engine cars’ to becoming a major player in the electrification of the automotive industry. Yet, the violation of environmental standards during the scandal resulted in excessive pollutant emissions, posing persistent threats to health and the environment. This paper explores how consumers held Volkswagen accountable for these hazards. Our analysis reveals that the decline in Volkswagen’s sales volumes following the scandal was driven by environmentally concerned consumers globally. However, their reaction was short-lived and mainly limited to the models implicated by the U.S. Environmental Protection Agency. Interestingly, we find no evidence of lost sales to competitors. Instead, we document a within-brand or within-group shift in favor of Volkswagen models compliant with environmental regulations. This phenomenon could be one of the contributing factors explaining Volkswagen’s resilience in navigating the fallout from the scandal.

We investigate the medium-term health effects of prenatal exposure to moderate air pollution by matching satellite $P{M}_{10}$ concentration estimates with longitudinal data on hospitalisations and filled prescriptions for the universe of live births in a large Italian region. We employ exogenous variation in $P{M}_{10}$ in a multiple fixed-effects model to show that prenatal exposure to pollution leads to worse birth outcomes and to more hospitalisations and filled prescriptions in the first 10 years of life, especially at the bottom health quantiles. We use these estimates to quantify the monetary cost of prenatal exposure to air pollution.

We use worldwide gridded satellite data to analyse how population size and density affect urban ${\mathrm{PM}}_{2.5}$ pollution. We find that more populated and denser grid cells are more exposed to pollution. However, across urban areas, exposure increases with cities’ population size but decreases with density. Moreover, the population effect is driven mostly by population commuting to core cities rather than the core city population itself. We analyse heterogeneity by geography and income levels. A counterfactual simulation shows that ${\mathrm{PM}}_{2.5}$ exposure could fall by up to 40% if population size were equalized across all cities within countries, but the relocation of population from large to small cities that maximizes welfare would be small.