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Informal environmental regulation of industrial air pollution: Does neighborhood inequality matter?

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  • Moser, Mathias
  • Zwickl, Klara

Abstract

This paper analyzes if neighborhood income inequality has an effect on informal regulation of environmental quality, using census tract-level data on industrial air pollution exposure from EPA´s Risk Screening Environmental Indicators and income and demographic variables from the American Community Survey and EPA´s Smart Location Database. Estimating a spatial lag model and controlling for formal regulation at the states level, we find evidence that overall neighborhood inequality - as measured by the ratio between the fourth and the second income quintile or the neighborhood Gini coefficient - increases local air pollution exposure, whereas a concentration of top incomes reduces local exposure. The positive coefficient of the general inequality measure is driven by urban neighborhoods, whereas the negative coefficient of top incomes is stronger in rural areas. We explain these findings by two contradicting effects of inequality: On the one hand, overall inequality reduces collective action and thus the organizing capacities for environmental improvements. On the other hand, a concentration of income at the top enhances the ability of rich residents to negotiate with regulators or polluting plants in their vicinity. (authors' abstract)

Suggested Citation

  • Moser, Mathias & Zwickl, Klara, 2014. "Informal environmental regulation of industrial air pollution: Does neighborhood inequality matter?," Department of Economics Working Paper Series 192, WU Vienna University of Economics and Business.
  • Handle: RePEc:wiw:wus005:4350
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    File URL: https://epub.wu.ac.at/4350/
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    References listed on IDEAS

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    Cited by:

    1. Bei Xiong & Ruimei Wang, 2020. "Effect of Environmental Regulation on Industrial Solid Waste Pollution in China: From the Perspective of Formal Environmental Regulation and Informal Environmental Regulation," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
    2. Boyce, James K. & Zwickl, Klara & Ash, Michael, 2016. "Measuring environmental inequality," Ecological Economics, Elsevier, vol. 124(C), pages 114-123.
    3. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Dong, Xiucheng, 2022. "How does energy trilemma eradication reduce carbon emissions? The role of dual environmental regulation for China," Energy Economics, Elsevier, vol. 116(C).
    4. Zheng, Shiming & Yao, Rongrong & Zou, Ke, 2022. "Provincial environmental inequality in China: Measurement, influence, and policy instrument choice," Ecological Economics, Elsevier, vol. 200(C).

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    More about this item

    Keywords

    Informal Regulation; Income Inequality; Collective Action; Industrial Air Pollution Disparities; Risk-Screening Environmental Indicators; Spatial Lag Model; Einkommensverteilung; Ungleichheit; Auswirkung; Unweltverschmutzung; Industrie; Luftreinhaltung; Einflußnahme;
    All these keywords.

    JEL classification:

    • D3 - Microeconomics - - Distribution
    • H4 - Public Economics - - Publicly Provided Goods
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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