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Bayer, Patrick; Urpelainen, Johannes (2013)
Publisher: Springer
Languages: English
Types: Article
New technology is fundamental to sustainable development. However, inventors from industrialized countries often refuse technology transfer because they worry about reverse-engineering. When can clean technology transfer succeed? We develop a formal model of the political economy of North–South technology transfer. According to the model, technology transfer is possible if (1) the technology in focus has limited global commercial potential or (2) the host developing country does not have the capacity to absorb new technologies for commercial use. If both conditions fail, inventors from industrialized countries worry about the adverse competitiveness effects of reverse-engineering, so technology transfer fails. Data analysis of technology transfer in 4,894 projects implemented under the Kyoto Protocol’s Clean Development Mechanism during the 2004–2010 period provides evidence in support of the model.
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    • Ai, Chunrong, and Edward C. Norton. 2003. “Interaction Terms in Logit and Probit Models.” Economics Letters 80 (1): 123-129.
    • Beck, Nathaniel, Jonathan N. Katz, and Richard Tucker. 1998. “Taking Time Seriously: Time-SeriesCross-Section Analysis with a Binary Dependent Variable.” American Journal of Political Science 42 (4): 1260-1288.
    • Berry, William D., Jacqueline H. R. DeMeritt, and Justin Esarey. 2010. “Testing for Interaction in Binary Logit and Probit Models: Is a Product Term Essential?” American Journal of Political Science 54 (1): 248-266.
    • Brambor, Thomas, William Roberts Clark, and Matt Golder. 2006. “Understanding Interaction Models: Improving Empirical Analyses.” Political Analysis 14 (1): 63-82.
    • Brewer, Thomas L. 2008. “Climate Change Technology Transfer: A New Paradigm and Policy Agenda.” Climate Policy 8 (5): 516-526.
    • Carter, David, B., and Curtis S. Signorino. 2010. “Back to the Future: Modeling Time Dependence in Binary Data.” Political Analysis 18 (3): 271-292.
    • Chamberlain, Gary. 1980. “Analysis of Covariance with Qualitative Data.” The Review of Economic Studies 47 (1): 225-238.
    • Cheibub, José Antonio, Jennifer Gandhi, and James Raymond Vreeland. 2010. “Democracy and Dictatorship Revisited.” Public Choice 143 (1-2): 67-101.
    • Dechezleprêtre, Antoine, Matthieu Glachant, and Yann Ménière. 2008. “The Clean Development Mechanism and the International Diffusion of Technologies: An Empirical Study.” Energy Policy 36 (4): 1273- 1283.
    • Gallagher, Kelly Sims. 2006. “Limits to Leapfrogging in Energy Technologies? Evidence from the Chinese Automobile Industry.” Energy Policy 34 (4): 383-394.
    • Goenner, Cullen F. 2010. “From Toys to Warships: Interdependence and the Effects of Disaggregated Trade on Militarized Disputes.” Journal of Peace Research 47 (5): 547-559.
    • Grossman, Gene M., and Elhanan Helpman. 1991. Innovation and Growth in the Global Economy. Cambridge: MIT Press.
    • Hendrix, Cullen S. 2010. “Measuring State Capacity: Theoretical and Empirical Implications for the Study of Civil Conflict.” Journal of Peace Research 47 (3): 273-285.
    • Hoekman, Bernard M., Keith E. Maskus, and Kamal Saggi. 2005. “Transfer of Technology to Developing Countries: Unilateral and Multilateral Policy Options.” World Development 33 (10): 1587-1602.
    • Iacus, Stefano M., Gary King, and Giuseppe Porro. 2012. “Causal Inference without Balance Checking: Coarsened Exact Matching.” Political Analysis 20 (1): 1-24.
    • Keller, Wolfgang. 1996. “Absorptive Capacity: On the Creation and Acquisition of Technology in Development.” Journal of Development Economics 49 (1): 199-227.
    • Keller, Wolfgang. 2004. “International Technology Diffusion.” Journal of Economic Literature 42 (3): 752- 782.
    • Lewis, Joanna I. 2007. “Technology Acquisition and Innovation in the Developing World: Wind Turbine Development in China and India.” Studies in Comparative International Development 42 (3-4): 208-232.
    • Lewis, Joanna I., and Ryan H. Wiser. 2007. “Fostering a Renewable Energy Technology Industry: An International Comparison of Wind Industry Policy Support Mechanisms.” Energy Policy 35 (3): 1844- 1857.
    • Mani, Muthukumara, and David Wheeler. 1998. “In Search of Pollution Havens? Dirty Industry in the World Economy, 1960 to 1995.” Journal of Environment and Development 7 (3): 215-247.
    • Ward, Hugh. 2006. “International Linkages and International Sustainability: The Effects of the Regime Network.” Journal of Peace Research 43 (2): 149-166.
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