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Legal Constraints or Aggregate Individual Characteristics? Examining Factors of State R&D Intensity and Spending in the U.S.: Dynamic Panel Data Analysis

Published:16 June 2020Publication History

ABSTRACT

Considering the importance of R&D development and significant growth in R&D sector in the information technology era, it is crucial to examine the effect of budgetary institutions and aggregate individual characteristics. In this regards, this study empirically examines the impact of legal constraints and aggregate individual characteristics on state R&D related funding and expenditures by applying a system GMM analysis during the 17-year period (2000-2016).Several new findings are identified in this study. Budgetary institutions including legislative term limits and supermajority requirement effect state innovative capacity, and state R&D spending. State development and human capacity promote innovative capacity and R&D development, and Catholic work ethic enhances innovative capacity. Fiscal burden prevents states from promoting innovative capacity and R&D development, whereas economic downturn can serve as a motivator for additional spending on R&D activities for enhancing innovative capacity and R&D development. Further, these significant factors also reveal the long-term effect.

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  • Published in

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    dg.o '20: The 21st Annual International Conference on Digital Government Research
    June 2020
    389 pages
    ISBN:9781450387910
    DOI:10.1145/3396956

    Copyright © 2020 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 16 June 2020

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    Overall Acceptance Rate150of271submissions,55%
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