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

Author:

Wang Chunyun1,Xing Senyu1,Xu Lixiao2

Affiliation:

1. School of Mathematics and Statistics, Beijing Technology and Business University, Beijing 100048, China

2. 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.

Funder

National Social Science Foundation for Youth Program

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference57 articles.

1. Increasing Returns and Long-Run Growth;Romer;J. Political Econ.,1986

2. European Commission, International Monetary Fund, Organisation for Economic Co-Operation and Development, United Nations, and World Bank (2009). 2008 System of National Accounts.

3. Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy;Myers;Am. Econ. Rev.,2022

4. National Bureau of Statistics and Ministry of Science and Technology (2022). China Statistical Yearbook on Science and Technology-2022, (In Chinese).

5. European Commission (2022, August 15). China’s R&D Strategy, Available online: https://knowledge4policy.ec.europa.eu/foresight/topic/expanding-influence-east-south/industry-science-innovation_en.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pandemetrics: modelling pandemic impacts in space;Letters in Spatial and Resource Sciences;2023-12-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3