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Information age to genetic revolution: Embodied technology transfer and assimilation — A tale of two technologies

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  • Das, Gouranga Gopal

Abstract

In this paper, a fifteen regions–fifteen sectors global Computable General Equilibrium (CGE) model is calibrated. It offers quantitative enumeration of 5% exogenous biotechnological invention in USA in genetically modified crops namely, maize grains and soybean. Consequently, it results in endogenously transmitted productivity gains via traded intermediates in user sectors in donor and recipient regions. Sustained absorption and domestic usability of transgenic varieties depend on constellation of: human capital-induced absorptive capacity, governance, and structural congruence between source and recipients contingent on technology infrastructure and socio-institutional parameters. Such innovations result in higher production, welfare and global trade. Also, concomitant 4% exogenous productivity shock in information technology along with 5% productivity growth in the agro-biotech sectors further enhances such simulated impacts on global production and welfare. Regions with larger extent of technology capture aided by higher human capital, better governance, conducive institutional-structural features, and superior technological expertise perform better. JEL classification C68; D58; F13; O3; Q17; Q18

Suggested Citation

  • Das, Gouranga Gopal, 2005. "Information age to genetic revolution: Embodied technology transfer and assimilation — A tale of two technologies," MPRA Paper 37250, University Library of Munich, Germany, revised 2006.
  • Handle: RePEc:pra:mprapa:37250
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    References listed on IDEAS

    as
    1. Keller, Wolfgang, 2000. "Do Trade Patterns and Technology Flows Affect Productivity Growth?," World Bank Economic Review, World Bank Group, vol. 14(1), pages 17-47, January.
    2. Karanja, Daniel David & Renkow, M. & Crawford, E.W., 2003. "Welfare effects of maize technologies in marginal and high potential regions of Kenya," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 29(3), December.
    3. Coe, David T & Helpman, Elhanan & Hoffmaister, Alexander W, 1997. "North-South R&D Spillovers," Economic Journal, Royal Economic Society, vol. 107(440), pages 134-149, January.
    4. Eaton, Jonathan & Kortum, Samuel, 1996. "Trade in ideas Patenting and productivity in the OECD," Journal of International Economics, Elsevier, vol. 40(3-4), pages 251-278, May.
    5. Gerpacio, R.V., 2003. "The roles of public sector versus private sector in R&D and technology generation: the case of maize in Asia," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 29(3), December.
    6. Daniel K.N. Johnson & Robert E. Evenson, 2000. "How Far Away Is Africa? Technological Spillovers to Agriculture and Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(3), pages 743-749.
    7. Ransom, J. K. & Paudyal, K. & Adhikari, K., 2003. "Adoption of improved maize varieties in the hills of Nepal," Agricultural Economics, Blackwell, vol. 29(3), pages 299-305, December.
    8. Henri L. F. de Groot & Gert-Jan Linders & Piet Rietveld & Uma Subramanian, 2004. "The Institutional Determinants of Bilateral Trade Patterns," Kyklos, Wiley Blackwell, vol. 57(1), pages 103-123, February.
    9. Rohini Acharya & Thomas Ziesemer, 1996. "A Closed Economy Model of Horizontal and Vertical Product Differentiation: The Case of Innovation in Biotechnology," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 4(3), pages 245-264.
    10. Dietzenbacher, Erik, 2000. "Spillovers of Innovation Effects," Journal of Policy Modeling, Elsevier, vol. 22(1), pages 27-42, January.
    11. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    12. Huang, Jikun & Hu, Ruifa & van Meijl, Hans & van Tongeren, Frank, 2004. "Biotechnology boosts to crop productivity in China: trade and welfare implications," Journal of Development Economics, Elsevier, vol. 75(1), pages 27-54, October.
    13. Chantal Nielsen & Kym Anderson, 2001. "Global market effects of alternative European responses to genetically modified organisms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 137(2), pages 320-346, June.
    14. repec:wsi:wschap:9789813108448_0006 is not listed on IDEAS
    15. Meijl, Hans van & Tongeren, Frank van, 2004. "International diffusion of gains from biotechnology and the European Union's Common Agricultural Policy," Agricultural Economics, Blackwell, vol. 31(2-3), pages 307-316, December.
    16. Giorgio Barba Navaretti & David G. Tarr, 2017. "International Knowledge Flows and Economic Performance: A Review of the Evidence," World Scientific Book Chapters,in: Trade Policies for Development and Transition, chapter 6, pages 129-143 World Scientific Publishing Co. Pte. Ltd..
    17. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    18. Hans Meijl & Frank Tongeren, 1998. "Trade, technology spillovers, and food production in China," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 134(3), pages 423-449, September.
    19. Basu, Kaushik & Narayan, Ambar & Ravallion, Martin, 1999. "Is knowledge shared within households?," Policy Research Working Paper Series 2261, The World Bank.
    20. Gerpacio, R. V., 2003. "The roles of public sector versus private sector in R&D and technology generation: the case of maize in Asia," Agricultural Economics, Blackwell, vol. 29(3), pages 319-330, December.
    21. Hintze, L. H. & Renkow, M. & Sain, G., 2003. "Variety characteristics and maize adoption in Honduras," Agricultural Economics, Blackwell, vol. 29(3), pages 307-317, December.
    22. Das, Gouranga Gopal, 2003. "Elasticity of Substitution and Disaggregation of Labor by Skill Level: Empirical Measurement Using a Global Database," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 3(1).
    23. Asfaw, Abay & Admassie, Assefa, 2004. "The role of education on the adoption of chemical fertiliser under different socioeconomic environments in Ethiopia," Agricultural Economics, Blackwell, vol. 30(3), pages 215-228, May.
    24. Pack, Howard & Westphal, Larry E., 1986. "Industrial strategy and technological change : Theory versus reality," Journal of Development Economics, Elsevier, vol. 22(1), pages 87-128, June.
    25. Ransom, J.K. & Paudyal, K. & Adhikari, Keshav R., 2003. "Adoption of improved maize varieties in the hills of Nepal," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 29(3), December.
    26. Robert E. Evenson, 2003. "GMOs: Prospects for Increased Crop Productivity in Developing Countries," Working Papers 878, Economic Growth Center, Yale University.
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    More about this item

    Keywords

    Biotechnology; Information technology; Spillover; Computable General Equilibrium; Institutional factors; Absorption; Intermediate-input augmenting technical change;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

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