Abstract
This paper develops a general-equilibrium framework to analyze firms’ incentives to engage in greenwashing and to quantify its impact on prices, production choices, consumer surplus, and pollution levels. Firms choose between “green” and pollutant inputs and decide whether to label their output as eco-friendly, facing fixed labeling costs and imperfect oversight that penalizes deceptive practices. Consumers observe labels but know only the probability that they are truthful, generating an equilibrium price premium that reflects a mix of genuine and fraudulent claims. Results show how greenwashing reduces price of green labeled products, displacing truly green producers and increases pollution output. I also show how the rigor of monitoring and the size of green input subsidies shape both consumer welfare and emissions, revealing policy regimes under which interventions can mitigate greenwashing.
Key Words: Greenwashing, Pollution, Labeling.
JEL codes: D50, D62, Q58, L15.
Abstract
This paper examines the relationship between income inequality and air pollution, using a novel dataset that combines records from multiple air pollution measuring stations with household data from Chile’s National Socioeconomic Characterization Survey. Two-Way Fixed Effects estimates that net out unobserved heterogeneity at the region and time level show that an increase of one percentage point in the Gini coefficient (more income inequality) associates to a decrease in air pollution (increase in air quality) of approximately 0.15%. I provide evidence suggesting that the driver of this association is the nonlinear, concave, relationship between income levels and air pollution.
Key Words: Air Quality, Pollution, Environmental Kuznets Curve, Income Inequality, Chile.
JEL codes: Q52, Q53, Q56, D63, I14.