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An assessment of energy production efficiency activity: a spatial analysis

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Abstract

The aim of this paper is to investigate the extent to which the environmental technological spillover effects on firms’ productivity are affected by the spatial dimension. To this end, we introduce a spatial Durbin model with additional endogenous variables for the energy production efficiency activity of large R&D-intensive firms located in three economic areas: the USA, Japan and Europe. To identify the technological proximity between the firms, we construct an original Mahalanobis environmental industry weight matrix, based on the construction of technological vectors for each firm, with European environmental patents distributed across more technology classes. The findings show a statistically negative impact of spatially distributed environmental spillovers on firms’ productivity in all the economic areas.

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Notes

  1. See Maraut et al. (2008) for the methodology used for the construction of REGPAT. Please contact Helene.DERNIS@oecd.org to download the REGPAT database.

  2. We use the exchange rates from Eurostat for the year 2007.

  3. Eurostat GDP deflators.

  4. See Griliches (1992), Mohnen (1996) or Cincera and van Pottelsberghe de la Potterie B. (2001) for a review of the different proximity measures used in the literature.

  5. http://www.oecd.org/env/consumption-innovation/indicator.htm

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Correspondence to Luigi Aldieri.

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Aldieri, L., Vinci, C.P. An assessment of energy production efficiency activity: a spatial analysis. Lett Spat Resour Sci 11, 233–243 (2018). https://doi.org/10.1007/s12076-017-0196-8

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