研发是否促进了中国生产力的增长?基础研发、应用研发和实验研发的作用

IF 5.2 1区 经济学 Q1 ECONOMICS
Yixiao Zhou , Sudyumna Dahal
{"title":"研发是否促进了中国生产力的增长?基础研发、应用研发和实验研发的作用","authors":"Yixiao Zhou ,&nbsp;Sudyumna Dahal","doi":"10.1016/j.chieco.2024.102281","DOIUrl":null,"url":null,"abstract":"<div><p>Since the early 2000s, R&amp;D expenditure in China has increased rapidly, with the country having the third highest R&amp;D expenditure, next only to the OECD and USA, and having surpassed Japan since 2009. Furthermore, policies in China in recent years have emphasized the need to conduct more basic and applied R&amp;D in order to overcome technological bottlenecks and risks in access to advanced technologies when faced with international geopolitical tension. However, in the meantime, the trend in measured total factor productivity (TFP) in China has been downward since 2010. A lack of TFP growth despite the significant investment in R&amp;D raises the question of the impact of R&amp;D expenditure on productivity growth in China. Therefore, this study aims to investigate this issue and estimate the effects of three types of R&amp;D stocks (basic, applied and experimental R&amp;D stock) on TFP in China, using newly constructed provincial panel data in China from 1998 to 2018. Various empirical models and control variables are adopted to take into account non-stationarity and spatial spill-over of the provincial R&amp;D stock values over time. The analysis results are robust to various specifications and reveal a significant positive effect of overall R&amp;D and experimental R&amp;D on TFP in China, but basic R&amp;D exerts no significant results, and the effects of applied R&amp;D are mixed across specifications. Further analyses using the 1991–2018 national data demonstrated largely consistent results. These results suggest that experimental R&amp;D has been crucial for enhancing TFP growth in China during the decades investigated, but evidence of basic and applied R&amp;D driving TFP growth in China is lacking.</p></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"88 ","pages":"Article 102281"},"PeriodicalIF":5.2000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1043951X24001706/pdfft?md5=89df088151391e58e28a0bbce4587d7d&pid=1-s2.0-S1043951X24001706-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Has R&D contributed to productivity growth in China? The role of basic, applied and experimental R&D\",\"authors\":\"Yixiao Zhou ,&nbsp;Sudyumna Dahal\",\"doi\":\"10.1016/j.chieco.2024.102281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Since the early 2000s, R&amp;D expenditure in China has increased rapidly, with the country having the third highest R&amp;D expenditure, next only to the OECD and USA, and having surpassed Japan since 2009. Furthermore, policies in China in recent years have emphasized the need to conduct more basic and applied R&amp;D in order to overcome technological bottlenecks and risks in access to advanced technologies when faced with international geopolitical tension. However, in the meantime, the trend in measured total factor productivity (TFP) in China has been downward since 2010. A lack of TFP growth despite the significant investment in R&amp;D raises the question of the impact of R&amp;D expenditure on productivity growth in China. Therefore, this study aims to investigate this issue and estimate the effects of three types of R&amp;D stocks (basic, applied and experimental R&amp;D stock) on TFP in China, using newly constructed provincial panel data in China from 1998 to 2018. Various empirical models and control variables are adopted to take into account non-stationarity and spatial spill-over of the provincial R&amp;D stock values over time. The analysis results are robust to various specifications and reveal a significant positive effect of overall R&amp;D and experimental R&amp;D on TFP in China, but basic R&amp;D exerts no significant results, and the effects of applied R&amp;D are mixed across specifications. Further analyses using the 1991–2018 national data demonstrated largely consistent results. These results suggest that experimental R&amp;D has been crucial for enhancing TFP growth in China during the decades investigated, but evidence of basic and applied R&amp;D driving TFP growth in China is lacking.</p></div>\",\"PeriodicalId\":48285,\"journal\":{\"name\":\"中国经济评论\",\"volume\":\"88 \",\"pages\":\"Article 102281\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1043951X24001706/pdfft?md5=89df088151391e58e28a0bbce4587d7d&pid=1-s2.0-S1043951X24001706-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中国经济评论\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1043951X24001706\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国经济评论","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1043951X24001706","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

自 21 世纪初以来,中国的研发支出迅速增长,研发支出居世界第三位,仅次于经合组织和美国,并在 2009 年超过日本。此外,中国近年来的政策也强调要加大基础和应用研发力度,以克服技术瓶颈和在面临国际地缘政治紧张局势时获取先进技术的风险。然而,与此同时,自 2010 年以来,中国的全要素生产率(TFP)测算值一直呈下降趋势。在研发投入巨大的情况下,全要素生产率却没有增长,这引发了研发支出对中国生产率增长的影响问题。因此,本研究旨在研究这一问题,并利用新构建的中国1998-2018年省级面板数据,估计中国三类R&D存量(基础性、应用性和实验性R&D存量)对全要素生产率的影响。考虑到各省 R&D 存量值随时间变化的非平稳性和空间溢出效应,采用了多种实证模型和控制变量。分析结果对各种规格都是稳健的,揭示了总体研发和实验研发对中国全要素生产率有显著的正向影响,但基础研发没有显著影响,应用研发的影响在各种规格中表现不一。使用 1991-2018 年全国数据进行的进一步分析表明,结果基本一致。这些结果表明,在所调查的几十年中,实验研究与开发对提高中国全要素生产率的增长至关重要,但缺乏基础研究与应用研究与开发推动中国全要素生产率增长的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Has R&D contributed to productivity growth in China? The role of basic, applied and experimental R&D

Since the early 2000s, R&D expenditure in China has increased rapidly, with the country having the third highest R&D expenditure, next only to the OECD and USA, and having surpassed Japan since 2009. Furthermore, policies in China in recent years have emphasized the need to conduct more basic and applied R&D in order to overcome technological bottlenecks and risks in access to advanced technologies when faced with international geopolitical tension. However, in the meantime, the trend in measured total factor productivity (TFP) in China has been downward since 2010. A lack of TFP growth despite the significant investment in R&D raises the question of the impact of R&D expenditure on productivity growth in China. Therefore, this study aims to investigate this issue and estimate the effects of three types of R&D stocks (basic, applied and experimental R&D stock) on TFP in China, using newly constructed provincial panel data in China from 1998 to 2018. Various empirical models and control variables are adopted to take into account non-stationarity and spatial spill-over of the provincial R&D stock values over time. The analysis results are robust to various specifications and reveal a significant positive effect of overall R&D and experimental R&D on TFP in China, but basic R&D exerts no significant results, and the effects of applied R&D are mixed across specifications. Further analyses using the 1991–2018 national data demonstrated largely consistent results. These results suggest that experimental R&D has been crucial for enhancing TFP growth in China during the decades investigated, but evidence of basic and applied R&D driving TFP growth in China is lacking.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信