Abstract
This paper develops a competitive equilibrium model of greenwashing with heterogeneous consumers and firms and endogenous label credibility. Greenwashing lowers the green premium, discourages clean production, and raises pollution. Despite shared environmental preferences, income differences shape consumers’ access to green-labeled goods. Numerical exercises compare monitoring, pecuniary penalties, pollution taxes, and green-input subsidies, distinguishing their effects on firms’ labeling and technology choices. Enforcement improves credibility but may induce truthful labeling without changing production technology. Taxes and subsidies directly encourage cleaner production and reduce greenwashing in the reported scenarios, highlighting the distinction between correcting deceptive claims and reducing emissions.
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.