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Openness, Efficiency and Technology: An Industry Assessment

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  • Dimitris Christopoulos
  • Peter McAdam

Abstract

Most growth models imply positive impacts on economic growth from greater openness. And a key factor linking openness and growth is the efficiency with which resources are used. Empirically, however, the efficiency impacts of trade have been ambiguous. Using a stochastic frontier analysis, we examine the impact of openness on technical (in)efficiency for a sample of OECD economies. Unlike the bulk of related studies, we work at the industry level. Given recent debates on technology-inspired growth and TFP effects, we additionally examine whether ICT expenditures impacts openness and efficiency. We establish the elasticity of openness with respect to (in)efficiency; TFP and Scale Economies; and Technical Inefficiency across countries and sectors. Both openness and ICT usage have robustly positive impacts on efficiency. Our results shed light on the impact of, spillovers be- tween, and heterogeneity across countries and industries from, increasing openness interacted with the use of advanced technologies.
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  • Dimitris Christopoulos & Peter McAdam, 2013. "Openness, Efficiency and Technology: An Industry Assessment," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(1), pages 56-70, February.
  • Handle: RePEc:bla:scotjp:v:60:y:2013:i:1:p:56-70
    DOI: sjpe.12002
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    1. Stephen D. Oliner & Daniel E. Sichel, 2000. "The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 3-22, Fall.
    2. Miguel A. León-Ledesma & Peter McAdam & Alpo Willman, 2010. "Identifying the Elasticity of Substitution with Biased Technical Change," American Economic Review, American Economic Association, vol. 100(4), pages 1330-1357, September.
    3. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "The long-term sucCESs of the neoclassical growth model," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 23(1), pages 94-114, Spring.
    4. Miller, Stephen M. & Upadhyay, Mukti P., 2000. "The effects of openness, trade orientation, and human capital on total factor productivity," Journal of Development Economics, Elsevier, vol. 63(2), pages 399-423, December.
    5. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    6. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    7. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    8. Edwards, Sebastian, 1998. "Openness, Productivity and Growth: What Do We Really Know?," Economic Journal, Royal Economic Society, vol. 108(447), pages 383-398, March.
    9. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    10. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," Journal of Regulatory Economics, Springer, vol. 28(1), pages 69-90, July.
    11. Griffin, James M & Gregory, Paul R, 1976. "An Intercountry Translog Model of Energy Substitution Responses," American Economic Review, American Economic Association, vol. 66(5), pages 845-857, December.
    12. McQuinn, Kieran & Slevin, Geraldine, 2009. "The United States as a growth leader for the Euro Area - A multi-sectoral approach," Research Technical Papers 13/RT/09, Central Bank of Ireland.
    13. Christopoulos, Dimitris K., 2000. "The demand for energy in Greek manufacturing," Energy Economics, Elsevier, vol. 22(5), pages 569-586, October.
    14. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
    15. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    16. Chirinko, Robert S., 2008. "[sigma]: The long and short of it," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 671-686, June.
    17. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    18. McAdam, Peter & Willman, Alpo, 2013. "Medium Run Redux," Macroeconomic Dynamics, Cambridge University Press, vol. 17(4), pages 695-727, June.
    19. Fuss, Melvyn A., 1977. "The demand for energy in Canadian manufacturing : An example of the estimation of production structures with many inputs," Journal of Econometrics, Elsevier, vol. 5(1), pages 89-116, January.
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    1. Bournakis, Ioannis & Christopoulos, Dimitris & Mallick, Sushanta, 2015. "Knowledge Spillovers, Absorptive Capacity and Growth: An Industry-level Analysis for OECD Countries," MPRA Paper 63542, University Library of Munich, Germany.
    2. Ioannis Bournakis & Dimitris Christopoulos & Sushanta Mallick, 2018. "Knowledge Spillovers And Output Per Worker: An Industry‐Level Analysis For Oecd Countries," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 1028-1046, April.
    3. Bournakis, Ioannis & Rizov, Marian & Christopoulos, Dimitris, 2023. "Revisiting the effect of institutions on the economic performance of SSA countries: Do legal origins matter in the context of ethnic heterogeneity?," Economic Modelling, Elsevier, vol. 125(C).
    4. Yohanes Andika Tjitrajaya & Charvin Lim & Shafiah Meike Serepina Pasaribu & Ferensky Regina Sandjaja & Ivantia Savitri Mokoginta, 2021. "The importance of economic openness on technical efficiency in global perspective," International Journal of Economic Policy Studies, Springer, vol. 15(2), pages 387-403, September.
    5. Md Shahiduzzaman & Allan Layton & Khorshed Alam, 2015. "On the contribution of information and communication technology to productivity growth in Australia," Economic Change and Restructuring, Springer, vol. 48(3), pages 281-304, November.

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