其他研究论文

中国新型基础设施建设的减污降碳协同效应——基于创新要素错配视角

  • 孙振清 ,
  • 杨锐
展开
  • 天津科技大学经济与管理学院,天津 300457

孙振清(1966- ),男,河北雄县人,博士,教授,博士生导师,研究方向为能源与应对气候变化战略及政策、低碳经济。E-mail:

收稿日期: 2024-08-26

  修回日期: 2025-02-28

  网络出版日期: 2025-06-20

基金资助

国家社会科学基金重点项目(16AGL002)

天津市高等学校创新团队培养计划项目(TD13-5012/5045)

天津市社会科学界联合会社科重点应用调研课题(2202010)

Research on the synergistic effect of pollution reduction and carbon reduction in China's new infrastructure construction: Based on the perspective of mismatch of innovation elements

  • SUN Zhen-qing ,
  • YANG Rui
Expand
  • School of Economics and Management, Tianjin University of Science and Technology, Tianjin 300457, China

Received date: 2024-08-26

  Revised date: 2025-02-28

  Online published: 2025-06-20

摘要

新型基础设施建设是数字经济时代促进经济社会绿色低碳高质量发展的新引擎。基于2007—2022年中国30个省(自治区、直辖市)面板数据测度新基建发展指标,从创新要素错配视角实证检验了新基建的减污降碳协同效应。结果显示:(1)新基建能显著提高减污降碳协同治理水平,然而其减污降碳协同效应并不会立竿见影,新基建发展水平仅在逐步跨越“门槛”后,其协同减污降碳作用才开始呈现出促进效果;(2)新基建通过缓解创新研发人员错配进而促进了减污降碳,而基于创新研发资本错配的机制效应尚未充分展现,同时,创新人员流动、人力资本水平与技能匹配度是新基建缓解研发人员错配的有效因素,政府资助并未表现出明显的改善效果;(3)现阶段新基建能降低碳排放“回弹”效应,而在空间关联上,新基建减污降碳协同效应整体还存在着负外部性。研究结论为实现减污降碳协同增效进而助力“双碳”目标提供了可行路径,也为各地政府部门积极谋划推进新基建战略布局提供了新的经验证据。

本文引用格式

孙振清 , 杨锐 . 中国新型基础设施建设的减污降碳协同效应——基于创新要素错配视角[J]. 自然资源学报, 2025 , 40(7) : 1839 -1856 . DOI: 10.31497/zrzyxb.20250707

Abstract

New infrastructure construction is emerging as a key driver for achieving carbon peaking and carbon neutrality in the digital economy era, fostering green, low-carbon, and high-quality economic and social development. Using panel data from 30 provinces (autonomous regions and municipalities) in China from 2007 to 2022, this study measures indicators of new infrastructure development and empirically examines its synergistic effects on pollution reduction and carbon mitigation from the perspective of innovation factor misallocation. The findings indicate that: (1) New infrastructure significantly enhances coordinated governance in pollution reduction and carbon mitigation. This conclusion remains robust after a series of endogeneity and stability tests. However, the synergy between pollution reduction and carbon mitigation is not immediately observable. Only after the new infrastructure development surpasses certain "thresholds" does its effect on pollution and carbon reduction become evident. (2) Mechanism analysis reveals that new infrastructure alleviates the misallocation of R&D personnel, thereby promoting pollution reduction and carbon mitigation. However, the mechanism based on the misallocation of R&D capital has yet to fully manifest its effects. Factors such as R&D personnel mobility, human capital levels, and skill matching are effective in addressing R&D personnel misallocation and unlocking the benefits of technological innovation through new infrastructure, whereas government funding does not show a significant improvement in these outcomes. (3) Further analysis shows that new infrastructure can effectively reduce the "rebound" in carbon emissions currently. Nevertheless, in terms of spatial correlation, the overall impact of new infrastructure on coordinated pollution reduction and carbon mitigation exhibits negative externalities. The conclusions of this study provide a viable pathway for achieving the synergistic effects of pollution reduction and carbon mitigation, contributing to the "dual carbon" goals. These findings also offer empirical support for local governments in actively planning and advancing strategic layouts for new infrastructure.

[1]
李禾. 让蓝天更蓝, 需减污降碳协同增效. 科技日报, 2022-11-01(8).

[LI H. To make the blue sky bluer, the synergy of pollution reduction and carbon reduction is needed. Science and Technology Daily, 2022-11-01(8).]

[2]
周衍平, 李晶, 陈会英. 清洁能源示范省政策对试点地区碳排放量及经济发展水平的影响: 基于多期PSM-DID的验证. 软科学, 2024, 38(1): 53-60, 82.

[ZHOU Y P, LI J, CHEN H Y. The impact of clean energy demonstration provincial policies on carbon emissions and economic development in pilot areas: Verification based on multi-phase PSM-DID. Soft Science, 2024, 38(1): 53-60, 82.]

[3]
赵玉焕, 钱之凌, 徐鑫. 碳达峰和碳中和背景下中国产业结构升级对碳排放的影响研究. 经济问题探索, 2022, (3): 87-105.

[ZHAO Y H, QIAN Z L, XU X. Study on the impact of industrial structure upgrading on carbon emissions in China in the context of carbon peaking and carbon neutrality. Inquiry into Economic Issues, 2022, (3): 87-105.]

[4]
李红霞, 郑石明, 要蓉蓉. 环境与经济目标设置何以影响减污降碳协同管理绩效?. 中国人口·资源与环境, 2022, 32(11): 109-120.

[LI H X, ZHENG S M, YAO R R. How do environmental and economic goal-settings affect the synergistic performance of air pollution and carbon reduction?. China Population, Resources and Environment, 2022, 32(11): 109-120.]

[5]
朱勤, 彭希哲, 陆志明, 等. 中国能源消费碳排放变化的因素分解及实证分析. 资源科学, 2009, 31(12): 2072-2079.

[ZHU Q, PENG X Z, LU Z M, et al. Factors decomposition and empirical analysis of variations in energy carbon emission in China. Resources Science, 2009, 31(12): 2072-2079.]

[6]
郭朝先. 产业结构变动对中国碳排放的影响. 中国人口·资源与环境, 2012, 22(7): 15-20.

[GUO C X. Effect of industrial structure change on carbon emission in China. China Population, Resources and Environment, 2012, 22(7): 15-20.]

[7]
李健, 周慧. 中国碳排放强度与产业结构的关联分析. 中国人口·资源与环境, 2012, 22(1): 7-14.

[LI J, ZHOU H. Correlation analysis of carbon emission intensity and industrial structure in China. China Population, Resources and Environment, 2012, 22(1): 7-14.]

[8]
张雷, 李艳梅, 黄园淅, 等. 中国结构节能减排的潜力分析. 中国软科学, 2011, (2): 42-51.

[ZHANG L, LI Y M, HUANG Y X, et al. Analysis on character and potential of energy saving and carbon reducing by structure evolution in China. China Soft Science, 2011, (2): 42-51.]

[9]
宋德勇, 李超, 李项佑. 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. 中国人口·资源与环境, 2021, 31(11): 155-164.

[SONG D Y, LI C, LI X Y. Does the construction of new infrastructure promote the "quantity" and "quality" of green technological innovation: Evidence from the national smart city pilot. China Population, Resources and Environment, 2021, 31(11): 155-164.]

[10]
张英浩, 汪明峰, 汪凡, 等. 长三角地区新型基础设施建设的地理格局及影响因素: 以5G基站为例. 长江流域资源与环境, 2022, 31(12): 2557-2567.

[ZHANG Y H, WANG M F, WANG F, et al. Geographical pattern and influencing factors of new infrastructure construction in Yangtze River Delta Region: Taking 5G base station as an example. Resources and Environment in the Yangtze Basin, 2022, 31(12): 2557-2567.]

[11]
王亚飞, 黄欢欢, 石铭, 等. 新型基础设施建设对共同富裕的影响机理及实证检验. 中国人口·资源与环境, 2023, 33(9): 192-203.

[WANG Y F, HUANG H H, SHI M, et al. Influence mechanism and empirical test of new infrastructure construction on the promotion of common prosperity. China Population, Resources and Environment, 2023, 33(9): 192-203.]

[12]
茹少峰, 刘惠子. 新基建、产业虚拟集聚与区域经济协调发展. 哈尔滨商业大学学报: 社会科学版, 2022, (6): 104-115.

[RU S F, LIU H Z. New infrastructure construction, industrial virtual agglomeration and coordinated development of regional economy. Journal of Harbin University of Commerce: Social Science Edition, 2022, (6): 104-115.]

[13]
黄梦涵, 张卫国, 兰秀娟. 新型基础设施建设对经济高质量发展的影响: 异质性与作用机制. 经济问题探索, 2023, (8): 19-35.

[HUANG M H, ZHANG W G, LAN X J. The impact of new infrastructure construction on high-quality economic development: Heterogeneity and mechanism. Inquiry into Economic Issues, 2023, (8): 19-35.]

[14]
刘炳胜, 郭慧文, 王丹, 等. 新基建对区域经济发展的空间溢出效应分析: 基于空间面板模型的实证研究. 工程管理科技前沿, 2023, 42(2): 59-66.

[LIU B S, GUO H W, WANG D, et al. Analysis of spatial spillover effect of new infrastructure on regional economic development: An empirical study based on spatial panel model. Frontiers of Science and Technology of Engineering Management, 2023, 42(2): 59-66.]

[15]
汪克亮, 许如玉, 赵斌. 新型基础设施投资能否降低雾霾污染? 理论机制与经验证据. 南京财经大学学报, 2022, (2): 55-65.

[WANG K L, XU R Y, ZHAO B. Can new infrastructure investment reduce haze pollution? Based on theoretical mechanism and empirical evidence. Journal of Nanjing University of Finance and Economics, 2022, (2): 55-65.]

[16]
张彧. 数字新基建、绿色技术进步与低碳经济转型. 经济经纬, 2024, 41(1): 57-69.

[ZHANG Y. Digital new infrastructure, green technology progress and low-carbon economic transformation. Economic Survey, 2024, 41(1): 57-69.]

[17]
刘娜, 高新伟. “蓝天保卫战” 如何影响减污降碳协同度?. 中国人口·资源与环境, 2024, 34(7): 66-75.

[LIU N, GAO X W. How does the 'Blue Sky Defense War' affect the synergy of pollution control and carbon reduction?. China Population, Resources and Environment, 2024, 34(7): 66-75.]

[18]
柳江, 赵倩玉. 数字经济赋能工业绿色转型升级的机制检验. 兰州学刊, 2023, (10): 68-85.

[LIU J, ZHAO Q Y. Mechanism test of enable green transformation and upgrading of industry empowered by digital economy. Lanzhou Academic Journal, 2023, (10): 68-85.]

[19]
郭沛, 王光远. 数字经济的减污降碳协同作用及机制: 基于地级市数据的实证检验. 资源科学, 2023, 45(11): 2117-2129.

DOI

[GUO P, WANG G Y. The synergistic effect of digital economy on pollution and carbon reduction and the influence mechanism: An empirical test based on prefecture-level city data. Resources Science, 2023, 45(11): 2117-2129.]

[20]
谭萌, 彭艺, 马戎, 等. 5G对中国碳排放峰值的影响研究. 中国环境科学, 2021, 41(3): 1447-1454.

[TAN M, PENG Y, MA R, et al. Influence of 5G technology on the peak of China's carbon emission. China Environmental Science, 2021, 41(3): 1447-1454.]

[21]
曹红艳. “双碳”目标下新基建加速绿色化. 经济日报, 2022-01-17(6).

[CAO H Y. Accelerating the greening of new infrastructure under the goal of 'dual carbon'. Economic Daily, 2022-01-17(6).]

[22]
张雪纯, 曹霞, 宋林壕. 碳排放交易制度的减污降碳效应研究: 基于合成控制法的实证分析. 自然资源学报, 2024, 39(3): 712-730.

DOI

[ZHANG X C, CAO X, SONG L H. The effect of pollution control and carbon reduction of the carbon emission trading system: An empirical analysis based on the synthetic control method. Journal of Natural Resources, 2024, 39(3): 712-730.]

[23]
潘雅茹, 顾亨达. 新型基础设施投资对服务业转型升级的影响. 改革, 2022, (7): 94-105.

[PAN Y R, GU H D. The influence of new infrastructure investment on the transformation and upgrading of service industry. Reform, 2022, (7): 94-105.]

[24]
王宏鸣, 陈永昌, 杨晨. 数字化能否改善创新要素错配? 基于创新要素区际流动视角. 证券市场导报, 2022, (1): 42-51.

[WANG H M, CHEN Y C, YANG C. Can digitalization improve the innovation resource misallocation? A perspective of interregional flow of innovation resources. Securities Market Herald, 2022, (1): 42-51.]

[25]
刘志华, 徐军委. 碳市场试点对省域碳排放公平性的影响及作用机制: 基于多期DID、空间DID与中介效应的实证研究. 自然资源学报, 2024, 39(3): 697-711.

DOI

[LIU Z H, XU J W. The influence and mechanism of carbon trading pilot on provincial carbon emissions equity: Empirical analysis based on multi-period DID, spatial DID and intermediary effect. Journal of Natural Resources, 2024, 39(3): 697-711.]

[26]
吴康, 耿一睿, 郭涛. 城市群绿色技术创新对碳排放的影响: 基于人力资本的调节效应. 自然资源学报, 2024, 39(9): 2121-2139.

DOI

[WU K, GENG Y R, GUO T. The impact of green technology innovation on carbon emissions from the perspective of urban agglomeration: The moderating effect of human capitals. Journal of Natural Resources, 2024, 39(9): 2121-2139.]

DOI

[27]
温忠麟, 叶宝娟. 中介效应分析: 方法和模型发展. 心理科学进展, 2014, 22(5): 731-745.

DOI

[WEN Z L, YE B J. Analyses of mediating effects: The development of methods and models. Advances in Psychological Science, 2014, 22(5): 731-745.]

DOI

[28]
江艇. 因果推断经验研究中的中介效应与调节效应. 中国工业经济, 2022, (5): 100-120.

[JIANG T. Mediating effects and moderating effects in causal inference. China Industrial Economics, 2022, (5): 100-120.]

[29]
邓峰, 王一飞, 梁翠月, 等. 产业集聚如何缓解外资退出? 基于行业异质性视角. 产业经济研究, 2022, (4): 15-29, 71.

[DENG F, WANG Y F, LIANG C Y, et al. How does industrial agglomeration alleviate the withdrawal of foreign capital? From the perspective of industry heterogeneity. Industrial Economics Research, 2022, (4): 15-29, 71.]

[30]
HANSEN B E. Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 1999, 93(2): 345-368.

[31]
陆敏, 徐好, 陈福兴. “双碳” 背景下碳排放交易机制的减污降碳效应. 中国人口·资源与环境, 2022, 32(11): 121-133.

[LU M, XU H, CHEN F X. Pollution and carbon reduction effects of the carbon emissions trading mechanism in the context of the 'dual carbon' goals. China Population, Resources and Environment, 2022, 32(11): 121-133.]

[32]
张佩, 王姣娥, 马丽. 新基建与区域经济协调发展的时空耦合及影响因素. 地理科学, 2024, 44(4): 562-572.

DOI

[ZHANG P, WANG J E, MA L. Spatiotemporal coupling and influencing factors of new infrastructure and coordinated economic development. Scientia Geographica Sinica, 2024, 44(4): 562-572.]

DOI

[33]
陈永伟, 胡伟民. 价格扭曲、要素错配和效率损失: 理论和应用. 经济学(季刊), 2011, 11(4): 1401-1422.

[CHEN Y W, HU W M. Distortions, misallocation and losses: Theory and application. China Economic Quarterly, 2011, 11(4): 1401-1422.]

[34]
赵志耘, 刘晓路, 吕冰洋. 中国要素产出弹性估计. 经济理论与经济管理, 2006, 26(6): 5-11.

[ZHAO Z Y, LIU X L, LYU B Y. Estimating the output elasticity of factors in China. Economic Theory and Business Management, 2006, 26(6): 5-11.]

[35]
谢获宝, 惠丽丽. 成本粘性、公司治理与高管薪酬业绩敏感性: 基于企业风险视角的经验证据. 管理评论, 2017, 29(3): 110-125.

[XIE H B, HUI L L. Cost stickiness, corporation governance and executive pay: Performance sensitivity: An empirical research based on the risk perspective. Management Review, 2017, 29(3): 110-125.]

[36]
白俊红, 王钺, 蒋伏心, 等. 研发要素流动、空间知识溢出与经济增长. 经济研究, 2017, 52(7): 109-123.

[BAI J H, WANG Y, JIANG F X, et al. R & D element flow, spatial knowledge spillovers and economic growth. Economic Research Journal, 2017, 52(7): 109-123.]

[37]
郑腾飞, 柯善咨. 交通条件、城市规模和劳动技能匹配效应. 财经研究, 2019, 45(11): 4-19.

[ZHENG T F, KE S Z. The effects of transport infrastructure, urban scale and labor skill matching on firm productivity. Journal of Finance and Economics, 2019, 45(11): 4-19.]

[38]
郭庆宾, 汪涌. 城市发展因智慧而绿色吗?. 中国软科学, 2022, (9): 172-183.

[GUO Q B, WANG Y. Smarter the city develops, the greener the city develops?. China Soft Science, 2022, (9): 172-183.]

[39]
刘潭, 徐璋勇. 数字经济、异质性技术创新与二氧化碳排放. 科技进步与对策, 2023, 40(13): 1-10.

DOI

[LIU T, XU Z Y. Digital economy, heterogeneous technological innovation and carbon dioxide emissions. Science & Technology Progress and Policy, 2023, 40(13): 1-10.]

[40]
甘天琦. 数字经济的减碳效应研究: 基于要素配置的视角. 华中师范大学学报: 人文社会科学版, 2023, 62(6): 60-73.

[GAN T Q. On the carbon reduction effect of digital economy: Based on the perspective of factor allocation. Journal of Central China Normal University: Humanities and Social Sciences, 2023, 62(6): 60-73.]

[41]
张润强, 陈子韬, 孟凡蓉. 政府干预与研发资源错配: 基于高技术产业省级面板数据的分析. 软科学, 2023, 37(5): 17-23.

[ZHANG R Q, CHEN Z T, MENG F R. Government intervene and misallocation of R & D resource: Evidence from the provincial panel data of high-tech industrial. Soft Science, 2023, 37(5): 17-23.]

文章导航

/