HOW
CAN “NEW INFRASTRUCTURAL CONSTRUCTION” BOOST HIGH-TECH INDUSTRIAL INNOVATION
CAPABILITIES FROM PERSPECTIVE OF GREEN RECOVERY？

doi:10.13776/j.cnki.resourcesindustries.20230313.001

Abstract

Abstract:

Currently it has not doubt to exert green empowering effect of “New Infrastructural Construction” to confront the upcoming carbon peaking, constraints of natural resources, CoVID19’s impacts and technical industrial reform. High-tech industry is of intensive knowledge, low resource consumption and low pollution, its innovative capabilities can embody industrial advances and help convert economy to an intensive and environment-friendly mode. This paper, viewing from green recovery, studies the theoretical mechanism of “new infrastructural construction” on high-tech industrial innovation. Inputs and use of “new infrastructural construction" as a vital means of green development and industrial innovation matters. This paper, based on China’s 28 province’s 2008 to 2020 panel data, uses baseline regression model to study impacts of “new infrastructural construction” on high-tech industrial innovative capabilities which has been validated by stability test through replacement of variables. Regression analysis is also conducted on China’s east and west. Mediating effect model is applied to study the impacts of cost saving effect, overflow effect and human capital effect on high-tech industrial innovation. Overall, “new infrastructural construction” can improve high-tech industrial innovative capabilities, outstandingly in eastern China little in central and western China. Human capital effect is an important path to improving high-tech industrial technical innovative capabilities in “new infrastructural construction”, but cost saving effect has a little overflow due to its masking effect. It concludes that China should support “new infrastructural construction”, exerts governmental leading role in advancing investment in central and western China, makes “new infrastructural construction” a path to high-tech industrial innovative capabilities, which is key to economic development, ecological sustability and industrial innovation.

Key words: green recovery, new infrastructural construction, high-tech industry, innovative capability, mediation

摘要： 当前碳排放即将达到峰值，自然资源制约等问题日益突出，同时疫情冲击与科技产业变革也不容忽视，发挥“新基建”(新型基础设施建设)绿色赋能效应的必要性毋庸置疑。高技术产业具有技术知识密集、低资源消耗、低污染等特点，其创新能力能够体现产业的进步，同时推动经济社会向集约环保型发展方式转变。论文以绿色复苏为视角，梳理了“新基建”对高技术产业创新能力的影响的内在理论机制，这对于科学合理地引导“新基建”的投入与使用，使之成为绿色发展、产业创新的重要手段具有重要的实践意义。基于2008—2020年中国28个省级面板数据，首先运用基准回归模型研究“新基建”对高技术产业创新能力提升的影响，并通过变量替换进行稳健性检验；其次对我国东中西部区域进行回归分析；最后采用中介效应模型，对“新基建”是否会通过成本节约效应、溢出效应及人力资本效应促进高技术产业创新进行考察。研究结果表明:1）整体来看，“新基建”能够显著提升高技术产业创新能力，在使用不同衡量指标进行稳健性分析后，该结论依然成立；2）从地域划分看，东部地区“新基建”对高技术产业创新能力提升起促进作用，而中部和西部地区的作用则不显著；3）人力资本效应是“新基建”推动高技术产业创新能力提升的重要渠道，成本节约效应存在遮掩效应，而溢出效应并不显著。经研究得出：我国应持续鼓励“新基建”发展，同时发挥政府的引导作用，因地制宜推进东中西部的“新基建”投资进程，畅通“新基建”对高技术产业创新能力提升的传导路径，使“新基建”成为助推经济发展、生态可持续、产业创新进步的利器。

关键词: 绿色复苏, 新基建, 高技术产业, 创新能力, 中介效应

CLC Number:

F062.9

ZHU Zhiming, NI Jinpeng, FU Lei. HOW CAN “NEW INFRASTRUCTURAL CONSTRUCTION” BOOST HIGH-TECH INDUSTRIAL INNOVATION CAPABILITIES FROM PERSPECTIVE OF GREEN RECOVERY？[J]. Resources & Industries, 2023, 25(2): 111-125.

朱智洺, 倪金鹏, 符磊. 绿色复苏视角下“新基建”如何推进高技术产业创新能力提升？[J]. 资源与产业, 2023, 25(2): 111-125.

References

钞小静, 薛志欣, 孙艺鸣, 2020. 新型数字基础设施如何影响对外贸易升级: 来自中国地级及以上城市的经验证据[J]. 经济科学(3): 46-59.〔CHAO X J, XUE Z X, SUN Y M, 2020. How the new digital infrastructure affects the upgrading of foreign trade: evidence from Chinese cities[J]. Economic Science(3): 46-59.〕

陈娟, 鲁斌, 冯宇博, 等, 2022. 共享理念下的区域能源互联网生态系统价值共创模式与机制[J]. 中国电机工程学报, 42(22): 8103-8116.〔CHEN J, LU B, FENG Y B, et al, 2022. Value coproduction model and mechanism of regional energy internet ecosystem under the concept of sharing[J]. Proceedings of the CSEE, 42(22): 8103-8116.〕

戴魁早, 2011. 交易费用、市场规模与产业垂直专业化: 理论与中国高技术产业的经验分析[J]. 暨南学报(哲学社会科学版), 33(6): 46-55, 160.〔DAI K Z, 2011. Transaction costs, market size and vertical specialization: its theory on China’s hightech industry experience[J]. Jinan Journal(Philosophy & Social Sciences), 33(6): 46-55, 160.〕

丁日佳, 张诗悦, 2021. 进口贸易、技术溢出的环境效应与工业大气污染: 基于省级面板数据的中介路径分析[J]. 北京理工大学学报(社会科学版), 23(3): 22-37.〔DING R J, ZHANG S Y, 2021. Import trade, environmental effects of technology spillovers and industrial air pollution: analysis of mediating path based on provincial panel data[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 23(3): 22-37.〕

段文斌, 2020. 新基建不是“特效药”而是新动能[J]. 人民论坛(14): 86-89.

樊纲, 王小鲁, 朱恒鹏, 2019. 中国分省份市场化指数报告(2018)[M]. 北京: 经济科学出版社, 216-217.〔FAN G, WANG X L, ZHU H P, 2019. Marketization index of China’s provinces: next report 2018[M]. Beijing: Economic Science Press, 216-217.〕

葛焱, 杨文辉, 2021.“新基建”背景下加强重大科技基础设施建设的思考[J].科学管理研究, 39(1): 45-50.〔GE Y, YANG W H, 2021. Thoughts on strengthening the construction of large research infrastructures under the background of “new infrastructure construction”[J]. Scientific Management Research, 39(1): 45-50.〕

郭朝先, 王嘉琪, 刘浩荣, 2020. “新基建”赋能中国经济高质量发展的路径研究[J]. 北京工业大学学报(社会科学版), 20(6): 13-21.〔GUO C X, WANG J Q, LIU H R, 2020. Studies on how new infrastructure empowers highquality development of China’s economy[J]. Journal of Beijing University of Technology(Social Sciences Edition), 20(6): 13-21.〕

郭凯明, 潘珊, 颜色, 2020. 新型基础设施投资与产业结构转型升级[J]. 中国工业经济(3): 63-80.〔GUO K M, PAN S, YAN S, 2020. New infrastructure investment and structural transformation[J]. China Industrial Economics(3): 63-80.〕

胡仙芝, 刘海军, 2022.包容审慎监管: 论新基建监管框架构建的过渡性和开放性[J].管理世界, 38(2): 116-128, 168.

黄群慧, 2020. 从高质量发展看新型基础设施建设[J]. 支部建设(11): 14-16.

姜卫民, 范金, 张晓兰, 2020. 中国“新基建”: 投资乘数及其效应研究[J]. 南京社会科学(4): 20-31.〔JIANG W M, FAN J, ZHANG X L, 2020. “New Infrastructure” in China: research on investment multiplier and its effect[J]. Nanjing Journal of Social Sciences(4): 20-31.〕

刘凤芹, 苏丛丛, 2021.“新基建”助力中国经济高质量发展理论分析与实证研究[J].山东社会科学(5): 136-141.

刘海军, 李晴, 2020. 新基建加速制造业转型升级[J]. 当代经济管理, 42(9): 26-31.〔LIU H J, LI Q, 2020. New infrastructure accelerates the transformation and upgrading of manufacturing industry[J]. Contemporary Economic Management, 42(9): 26-31.〕

刘启云, 2021. 新基建背景下互联网驱动对我国区域流通业生产效率的影响[J]. 商业经济研究(1): 13-17.

刘涛, 周白雨, 2021.效率与路径: “新基建”投资驱动与中国经济高质量发展: 基于投资类别与投资空间双重异质性[J].济南大学学报(社会科学版), 31(6): 99-113, 175.〔LIU T, ZHOU B Y, 2021. Efficiency and paths: “new infrastructure” investment drive and highquality development of China’s economy: a study based on the dual heterogeneity of investment type and investment space[J]. Journal of University of Jinan(Social Science Edition), 31(6): 99-113, 175.〕

刘艳红, 黄雪涛, 石博涵, 2020. 中国“新基建”: 概念、现状与问题[J]. 北京工业大学学报(社会科学版), 20(6): 1-12.〔LIU Y H, HUANG X T, SHI B H. China’s new infrastructure construction: concepts, current situations and problems[J]. Journal of Beijing University of Technology(Social Sciences Edition), 20(6): 1-12.〕

倪嘉成, 李华晶, 2021. 市场分割与高技术产业发展: 制度逻辑视角[J]. 科学学研究, 39(9): 1584-1592.〔NI J C, LI H J, 2021. Market segmentation and hightech industries’ development: from the perspective of institutional logics [J]. Studies in Science of Science, 39(9): 1584-1592.〕

裴棕伟, 闫春红, 2022. 新基建助推“双碳”目标达成的逻辑和建议[J]. 价格理论与实践(4): 5-8, 52.

清华大学国家金融研究院绿色金融课题组, 2020. 绿色“新基建”的机遇与政策建议[J]. 银行家(5): 49-51.〔Center for Green Finance Research, 2020. Opportunities and policy recommendations for green “New Infrastructure”[J]. The Chinese Banker(5): 49-51.〕

任中保, 乔黎黎, 2013. 国家自主创新能力内涵与建设思路[J]. 科研管理, 34(09): 19-26.〔REN Z B, QIAO L L, 2013. Connotation and building path for national innovation capability[J]. Science Research Management, 34(9): 19-26.〕

尚文思, 2020. 新基建对劳动生产率的影响研究: 基于生产性服务业的视角[J]. 南开经济研究(6): 181-200.〔SHANG W S, 2020. Effects of new infrastructure investment on labor productivity: based on producer services perspective[J]. Nankai Economic Studies(6): 181-200.〕

盛磊, 杨白冰, 2020. 新型基础设施建设的投融资模式与路径探索[J]. 改革(5): 49-57.〔SHENG L, YANG B B, 2020. Investment and financing mode and paths exploration of new infrastructure construction[J]. Reform(5): 49-57.〕

宋德勇, 李超, 李项佑, 2021.新型基础设施建设是否促进了绿色技术创新的“量质齐升”: 来自国家智慧城市试点的证据[J].中国人口·资源与环境, 31(11): 155-164.〔SONG D Y, LI C, LI X Y, 2021. Does the construction of new infrastructure promote the‘quantity’and‘quality’of green technological innovation: evidence from the national smart city pilot[J]. China Population, Resources And Environment, 31(11): 155-164.〕

孙早, 徐远华, 2018. 信息基础设施建设能提高中国高技术产业的创新效率吗?: 基于2002—2013年高技术17个细分行业面板数据的经验分析[J]. 南开经济研究(2): 72-92.〔SUN Z, XU Y H, 2018. Can the construction of information infrastructure improve the innovation efficiency of hightech industry in China?:based on empirical analysis of 17 subsectors in hightech industry during 2002-2013[J]. Nankai Economic Studies(2): 72-92.〕

谭素仪, 苏云飞, 王娟, 2020. 营商环境与城市技术创新产出能力: 基于国内32个大城市的实证检验[J]. 资源与产业, 22(4): 80-86.〔TAN S Y, SU Y F, WANG J, 2020. Business environment and urban technical innovation yield capacity based on cases study on 32 major cities[J]. Resources & Industries, 22(4): 80-86.〕

宛群超, 袁凌, 王博林, 2021. 研发要素流动与高技术产业创新能力[J]. 中国科技论坛(1): 106-116.〔WAN Q C, YUAN L, WANG B L, 2021. R&D factor flow and high-tech industries’ innovation ability[J]. Forum on Science and Technology in China(1): 106-116.〕

王贵东, 杨德林, 2021. “互联网, 交通物流”与人口城镇化: 基于“两新一重”融合模型[J]. 经济学报, 8(1): 129-158.〔WANG G D, YANG D L, 2021. “Internet plus transportation logistics” and population urbanization: based on the fusion model of “two new and one heavy”[J]. China Journal of Economics, 8(1): 129-158.〕

王绍媛, 杨础瑞, 2022.借力新基建驱动中国服务贸易高质量发展研究[J].国际贸易(1): 88-96.〔WANG S Y, YANG C R, 2022. Research on the help of the highquality development of the new infrastructure driving Chinese service trade[J]. Intertrade(1): 88-96.〕

王晓红, 张少鹏, 张奔, 2020. 风险投资集聚与高技术产业创新: 产学知识流动的中介作用和关系导向的调节作用[J]. 西安交通大学学报(社会科学版), 40(6): 22-32.〔WANG X H, ZHANG S P, ZHANG B, 2020. Venture capital agglomeration and hightech industrial innovation: the mediating role of the universityindustry knowledge flow and the moderating effect of relationship orientation[J]. Journal of Xi’an Jiaotong University(Social Sciences), 40(6): 22-32.〕

王雅洁, 韩孟亚, 2021. 高技术产业集聚与创新绩效的交互影响及空间溢出效应: 创新价值链视角下的空间联立方程研究[J]. 科技进步与对策, 38(12): 59-68.〔WANG Y J, HAN M Y, 2021. The interaction and spatial spillover between hightech industrial agglomeration and innovation performance: research on spatial simultaneous equation based on innovation value chain[J]. Science & Technology Progress and Policy, 38(12): 59-68.〕

温忠麟, 张雷, 侯杰泰, 等, 2004. 中介效应检验程序及其应用[J]. 心理学报(5): 614-620.〔WEN Z L, ZHANG L, Hou J T, et al, 2004. Testing and application of the mediating effects[J]. Acta Psychologica Sinica(5): 614-620.〕

吴绪亮, 2020. 新基建与数字中国发展的战略逻辑[N]. 中国经济时报, 2020-04-23(004).

伍先福, 钟鹏, 黄骁, 2020. “新基建”提升了战略性新兴产业的技术效率吗[J]. 财经科学(11): 65-80.〔WU X F, ZHONG P, HUANG X, 2020. Will “new infrastructure” improve the technological efficiency of strategic emerging industries?[J]. Finance & Economics(11): 65-80.〕

徐敏, 陈媛, 2020. 政府补贴、金融集聚对技术创新效率的影响: 以长江经济带11省市高技术产业为例[J]. 资源与产业, 22(2): 43-50.〔XU M, CHEN Y, 2020. A case study on hightech industry of 11 provinces along Yangtze River Economic Zone: influence of governmental allowance and financing concentration on technical innovation efficiency[J]. Resources & Industries, 22(2): 43-50.〕

张厚明, 2020. 我国新能源汽车充电桩新基建存在的问题与建议[J]. 科学管理研究, 38(5): 83-86.〔ZHANG H M, 2020. The problems and suggestions of new infrastructure construction of new energy vehicle charging pile in China[J]. Scientific Management Research, 38(5): 83-86.〕

张三峰, 魏下海, 2019. 信息与通信技术是否降低了企业能源消耗: 来自中国制造业企业调查数据的证据[J]. 中国工业经济(2): 155-173.〔ZHANG S F, WEI X H, 2019. Does information and communication technology reduce enterprise’s energy consumption: evidence from Chinese manufacturing enterprises survey[J]. China Industrial Economics(2): 155-173.〕

周嘉, 马世龙, 2022. 从赋能到使能: 新基建驱动下的工业企业数字化转型[J]. 西安交通大学学报(社会科学版), 42(3): 20-30.〔ZHOU J, MA S L, 2022. From empowerment to enablement: new infrastructure helps industrial enterprises’ digital transformation[J]. Journal of Xi’an Jiaotong University(social sciences), 42(3): 20-30.〕

周茂, 李雨浓, 姚星, 等, 2019. 人力资本扩张与中国城市制造业出口升级: 来自高校扩招的证据[J]. 管理世界, 35(5): 64-77, 198-199.〔ZHOU M, LI Y N, YAO X, et al, 2019. Human capital accumulation and urban manufacturing export upgrading in China: evidence from higher education expansion[J]. Journal of Management World, 35(5): 64-77, 198-199.〕

周霞, 王雯童, 2020. 创新驱动高技术产业升级: 基于省际面板数据研究[J]. 科技管理研究, 40(10): 10-18.〔ZHOU X, WANG W T, 2020. Innovation-driven upgrading of hightech industry: a research based on provincial panel data[J]. Science and Technology Management Research, 40(10): 10-18.〕

周远翔, 陈健宁, 张灵, 等, 2021. “双碳”与“新基建”背景下特高压输电技术的发展机遇[J]. 高电压技术, 47(7): 2396-2408.〔ZHOU Y X, CHEN J N, ZHANG L, et al, 2021. Opportunity for developing ultra high voltage transmission technology under the emission peak, carbon neutrality and new infrastructure[J]. High Voltage Engineering, 47(7): 2396-2408.〕

ACEMOGLU D, RESTREPO P, 2018. The race between man and machine: implications of technology for growth, factor shares, and employment[J]. American Economic Review, 108(6): 1488-1542.

BARON R M, KENNY D A, 1986. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations[J]. Journal of Personality and Social Psychology, 51(6): 1173-1182.

BERG A, BUFFIE E F, ZANNA L, 2018. Should we fear the robot revolution? (The correct answer is yes)[J]. Journal of Monetary Economics(97): 117-148.

BORLAND J, COELLI M, 2017. Are robots taking our jobs? [J]. Australian Economic Review, 50(4): 377-397.

GRAETZ G, MICHAELS G, 2018. Robots at Work[J]. The Review of Economics and Statistics(100): 753-768.

MOLLA A, HEEKS R, 2007. Exploring ecommerce benefits for businesses in a developing country[J]. The Information Society, 23(2): 95-108.

PARE D J, 2003. Does This site deliver? b2b ecommerce services for developing countries[J]. The Information Society, 19(2): 123-134.

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HOW CAN “NEW INFRASTRUCTURAL CONSTRUCTION” BOOST HIGH-TECH INDUSTRIAL INNOVATION CAPABILITIES FROM PERSPECTIVE OF GREEN RECOVERY？

绿色复苏视角下“新基建”如何推进高技术产业创新能力提升？

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