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A Multi-Regional Input–Output Model to Measure the Spatial Spillover of R&D Capital

Author

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  • Chunyun Wang

    (School of Mathematics and Statistics, Beijing Technology and Business University, Beijing 100048, China)

  • Senyu Xing

    (School of Mathematics and Statistics, Beijing Technology and Business University, Beijing 100048, China)

  • Lixiao Xu

    (School of Data Sciences, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

Abstract

Reallocating innovative capital elements can improve the growth of total factor productivity and promote high-quality economic development. The multi-regional multiplier model measures the spatial spillover effects of R&D capital to trace the interregional R&D flows and explore the engines of the longer-term economic growth in China. Results show that the direct R&D intensity in different regions is all concentrated in basic research sectors supported by government funds, and decreased from coastal areas to inland areas. Second, R&D gradually flowed from China’s coastal regions to inland regions, from upstream basic research sectors to downstream infrastructure construction sectors. Third, Guangdong, Jiangsu and Beijing are the main contributors, with R&D spillover intensities reaching 1.69%, 1.40%, and 1.37%, respectively. Xinjiang, Tibet, and Hainan are the main beneficiaries, with R&D inflow intensities reaching 0.49%, 0.53%, and 0.50%, respectively. Finally, the channel of R&D spatial spillover manifests a circular distribution and contact-type and jump-type modes.

Suggested Citation

  • Chunyun Wang & Senyu Xing & Lixiao Xu, 2023. "A Multi-Regional Input–Output Model to Measure the Spatial Spillover of R&D Capital," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11208-:d:1196921
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    References listed on IDEAS

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