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Factor-Augmenting Technical Change: An Empirical Assessment

Author

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  • Enrica De Cian

    (Fondazione Eni Enrico Mattei and School of Advanced Studies in Venice)

Abstract

Starting from a system of factor demands, an empirical model that allows estimating factor-augmenting technical change is derived. Factor-augmenting technical change is defined as the improvement in factor productivities that can occur either exogenously or endogenously, with changes in other macroeconomic variables. This paper provides additional estimates for the substitution possibilities among inputs and it offers new empirical evidence on the direction and sources of factor-augmenting technical change, an issue that has not yet been explored by the empirical literature on growth determinants. The empirical findings suggest that technical change is directed. Technical change tends to be more energy-saving than capital- and labour-saving. Both R&D investments and international trade are important determinants of growth in energy and capital productivity whereas technical change for labour is positively related to education expenditure. Therefore, the sources of factor-augmenting technical change go beyond R&D investments, as proposed in the theory of directed technical change, and they differ across inputs. In other words, not only is technical change directed, the sources of factor-augmenting technical change appear to be input specific.

Suggested Citation

  • Enrica De Cian, 2009. "Factor-Augmenting Technical Change: An Empirical Assessment," Working Papers 2009.18, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2009.18
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    Cited by:

    1. Carlo Carraro & Enrica De Cian & Lea Nicita, 2009. "Modeling Biased Technical Change. Implications For Climate Policy," Working Papers 2009_27, Department of Economics, University of Venice "Ca' Foscari".
    2. Go, Delfin S. & Lofgren, Hans & Ramos, Fabian Mendez & Robinson, Sherman, 2016. "Estimating parameters and structural change in CGE models using a Bayesian cross-entropy estimation approach," Economic Modelling, Elsevier, vol. 52(PB), pages 790-811.
    3. Baccianti, Claudio, 2013. "Estimation of sectoral elasticities of substitution along the international technology frontier," ZEW Discussion Papers 13-092, ZEW - Leibniz Centre for European Economic Research.
    4. Enrica De Cian, 2009. "Factor-Augmenting Technical Change: An Empirical Assessment," Working Papers 2009.18, Fondazione Eni Enrico Mattei.
    5. Carlo Carraro & Enrica De Cian & Massimo Tavoni, 2012. "Human Capital, Innovation, and Climate Policy: An Integrated Assessment," Working Papers 2012.18, Fondazione Eni Enrico Mattei.
    6. Khafagy, Amr & Vigani, Mauro, 2022. "Technical change and the Common Agricultural Policy," Food Policy, Elsevier, vol. 109(C).
    7. Michael Hübler & Alexander Glas, 2014. "The Energy-Bias of North–South Technology Spillovers: A Global, Bilateral, Bisectoral Trade Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 59-89, May.
    8. Gnidchenko, Andrey, 2011. "Моделирование Технологических И Институциональных Эффектов В Макроэкономическом Прогнозировании [Technological and Institutional Effects Modeling in Macroeconomic Forecasting]," MPRA Paper 35484, University Library of Munich, Germany, revised May 2011.
    9. Enrica De Cian & Ramiro Parrado, 2012. "Technology Spillovers Embodied in International Trade: Intertemporal, regional and sectoral effects in a global CGE," Working Papers 2012.27, Fondazione Eni Enrico Mattei.
    10. Carlo Carraro & Enrica De Cian & Massimo Tavoni, 2009. "Human capital formation and global warming mitigation: evidence from an integrated assessment model," Working Papers 2009_30, Department of Economics, University of Venice "Ca' Foscari".
    11. Carraro, Carlo & De Cian, Enrica & Nicita, Lea & Massetti, Emanuele & Verdolini, Elena, 2010. "Environmental Policy and Technical Change: A Survey," International Review of Environmental and Resource Economics, now publishers, vol. 4(2), pages 163-219, October.

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    Keywords

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    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • 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

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