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Is there an environmental benefit to being an exporter? Evidence from firm level data

Author

Listed:
  • Svetlana Batrakova

    (University College Dublin)

  • Ronald B Davies

    (University College Dublin)

Abstract

One of the greatest concerns over globalisation is its impact on the environment. This paper contributes to this debate by analysing the consequences of becoming an exporter on a firm's energy consumption. We show both theoretically and empirically that for low fuel intensity firms exporting status is associated with higher fuel consumption while for high fuel intensity firms exporting is results in decreased fuel consumption. Further analysis reveals that higher fuel consumption of low fuel intensity firms occurs after exporting, perhaps as a response to increased production. In contrast, firms using relatively large quantities of fuel decrease their energy use after exporting, perhaps by adopting more fuel-efficient technology. These results indicate that the use of aggregate data, as is the case in almost all studies of trade and the environment, is likely to conceal important connections between the two.

Suggested Citation

  • Svetlana Batrakova & Ronald B Davies, 2010. "Is there an environmental benefit to being an exporter? Evidence from firm level data," Working Papers 201007, School of Economics, University College Dublin.
  • Handle: RePEc:ucn:wpaper:201007
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    References listed on IDEAS

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    More about this item

    Keywords

    Exporting; Energy; Heterogeneity; Quantiles; Matching;
    All these keywords.

    JEL classification:

    • F18 - International Economics - - Trade - - - Trade and Environment
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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