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The welfare cost of one-size-fit-all patent protection

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  • Chu, Angus C.

Abstract

To analyze the welfare gain from allowing for differentiated patent protection across sectors, this study develops a two-sector quality-ladder growth model in which patent breadth is a policy variable and derives the optimal patent breadth under two policy regimes. We show that (i) the optimal uniform patent breadth is a weighted average of the optimal sector-specific patent breadth, and (ii) the optimal sector-specific patent breadth is larger in the sector that has a larger market size and more technological opportunities. To derive the optimal policy, we allow for an arbitrary path of patent breadth and derive the optimal path by solving a Stackelberg differential game. We find that the optimal path of patent breadth under each regime is stationary, time-consistent and subgame perfect. Finally, we perform a numerical investigation and find that even a moderate degree of asymmetry across sectors can generate a significant welfare cost of uniform patent protection.

Suggested Citation

  • Chu, Angus C., 2009. "The welfare cost of one-size-fit-all patent protection," MPRA Paper 21401, University Library of Munich, Germany, revised Mar 2010.
  • Handle: RePEc:pra:mprapa:21401
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    More about this item

    Keywords

    economic growth; R&D; uniform patent protection; time-consistent patent policy;
    All these keywords.

    JEL classification:

    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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