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Environmental disclosure and idiosyncratic risk in the European manufacturing sector

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  • Tzouvanas, Panagiotis
  • Kizys, Renatas
  • Chatziantoniou, Ioannis
  • Sagitova, Roza

Abstract

We study the impact of environmental disclosure on the idiosyncratic risk of European manufacturing firms. Utilizing a panel data set of 288 firms from 17 European countries during the period from 2005 to 2016, we provide evidence that environmental disclosure reduces idiosyncratic risk of investment. Our findings show that this relationship can best be justified by the stakeholder and the legitimacy theories. By contrast, predictions based on managerial opportunism appear to be unsupported by our data. In addition, results reveal that the effect of environmental disclosure on idiosyncratic risk varies significantly across the conditional distribution of idiosyncratic risk. Results remain robust under three different econometric methods; namely, (i) panel data techniques, (ii) dynamic panel data and (iii) quantile regressions.

Suggested Citation

  • Tzouvanas, Panagiotis & Kizys, Renatas & Chatziantoniou, Ioannis & Sagitova, Roza, 2020. "Environmental disclosure and idiosyncratic risk in the European manufacturing sector," Energy Economics, Elsevier, vol. 87(C).
    • Handle: RePEc:eee:eneeco:v:87:y:2020:i:c:s0140988320300542
    DOI: 10.1016/j.eneco.2020.104715
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    Cited by:

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    More about this item

    Keywords

    Environmental disclosure; Idiosyncratic risk; Panel data;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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