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Long-run Determinants of Pollution: A Robustness Analysis

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  • Michael J. Lamla

Abstract

This paper examines how robust economic, political, and demographic variables are related to water and air pollution. Employing Bayesian Averaging of Classical Estimates (BACE) for a cross section of up to 74 countries, 33 variables and 3 proxies for air and water pollution over a period from 1980 to 1995 we confirm the Environmental Kuznets Curve hypothesis, highlight the relevance of efficient production technologies and underline the role of political and demographic variables.

Suggested Citation

  • Michael J. Lamla, 2007. "Long-run Determinants of Pollution: A Robustness Analysis," KOF Working papers 07-164, KOF Swiss Economic Institute, ETH Zurich.
    • Handle: RePEc:kof:wpskof:07-164
    DOI: 10.3929/ethz-a-005390217
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    More about this item

    Keywords

    Pollution; Sensitivity analysis; BACE;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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