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Theoretical and Empirical Foundations of Energy Production Efficiency Activity

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  • Luigi Aldieri
  • Concetto Paolo Vinci

Abstract

The objective of this paper is to explore the energy production efficiency activity of large R&D-intensive firms. Research methodology follows two steps: first, we describe the theoretical background through a firm level model and, second, we develop econometric techniques that explore spatial spillovers and deal with the endogeneity of the explanatory variables. The findings show a significant effect of energy innovation externalities on firms’ environmental performance.

Suggested Citation

  • Luigi Aldieri & Concetto Paolo Vinci, 2017. "Theoretical and Empirical Foundations of Energy Production Efficiency Activity," International Business Research, Canadian Center of Science and Education, vol. 10(9), pages 39-49, September.
    • Handle: RePEc:ibn:ibrjnl:v:10:y:2017:i:9:p:39-49
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    References listed on IDEAS

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    2. Luigi Aldieri & Michele Cincera, 2009. "Geographic and technological R&D spillovers within the triad: micro evidence from US patents," The Journal of Technology Transfer, Springer, vol. 34(2), pages 196-211, April.
    3. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    4. Luigi Aldieri, 2013. "Knowledge technological proximity: evidence from US and European patents," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(8), pages 807-819, November.
    5. Keisuke Kondo, 2016. "Hot and cold spot analysis using Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 613-631, September.
    6. Keisuke Kondo, 2015. "SPGEN: Stata module to generate spatially lagged variables," Statistical Software Components S458105, Boston College Department of Economics, revised 17 Jun 2021.
    7. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    8. Mohr, Robert D., 2002. "Technical Change, External Economies, and the Porter Hypothesis," Journal of Environmental Economics and Management, Elsevier, vol. 43(1), pages 158-168, January.
    9. Giovanni Marin & Francesca Lotti, 2017. "Productivity effects of eco-innovations using data on eco-patents," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(1), pages 125-148.
    10. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    11. Luigi Aldieri & Concetto Paolo Vinci, 2017. "The Role of Technology Spillovers in the Process of Water Pollution Abatement for Large International Firms," Sustainability, MDPI, vol. 9(5), pages 1-8, May.
    12. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
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    Cited by:

    1. Fabio Carlucci & Andrea Cirà & Giuseppe Lanza, 2018. "Hybrid Electric Vehicles: Some Theoretical Considerations on Consumption Behaviour," Sustainability, MDPI, vol. 10(4), pages 1-11, April.

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    More about this item

    Keywords

    innovation; energy technology spillovers; environmental proximity;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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