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| Smart City Construction and Urban Carbon Emissions:The Test Based on Digital Technology Empowerment Path |
| Ge Liyu,Yu Jingyuan |
| (School of Finance and Taxation, Guangdong University of Finance and Economics ,Guangzhou 510320，China) |
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Abstract In the era of industrialization, the development of urbanization will undoubtedly lead to a continuous increase in carbon emissions, which can also be directly observed from the growth and evolution of historical data on carbon emissions in industrialized countries. But it is worth asking whether this law still applies to the relationship between urbanization and carbon emissions in the era of digital economy? The innovation and breakthrough of the current digital technology have provided different paths and connotations to the development of urbanization. Among them, the smart city is a typical model of urban development in the digital age. Will smart city construction under the empowerment or blessing of digital technology have different effects on carbon emissions in Chinese cities? In which way does this effect work? What are the heterogeneous impacts caused by the different development endowments or characteristics of smart cities?#br#Given the characteristics and facts of smart city pilots enabling cities to reduce carbon emissions in the context of China, this paper uses urban panel data from 2006 to 2019, and comprehensively adopts a multi-phase DID model from the perspective of digital technology innovation to empirically examine the internal mechanisms and causal effects of smart city pilots affecting urban carbon emissions. It is found that firstly smart city pilots can effectively promote carbon emission reduction in Chinese cities, and strongly support the carbon neutralization and carbon peaking action. The PSM-DID model and spatial DID model overcome sample selection bias and spatial effects. After re-estimating the impact, the conclusion is still robust. Secondly smart city pilots mainly use the direct path of digital technology innovation and the indirect path of “digital technology innovation→industrial structure upgrade” to promote cities to achieve carbon emission reduction. Digital technology innovation and industrial structure upgrade can form a chain of cause and effect to jointly help smart cities achieve carbon neutral carbon peak action. Thirdly heterogeneity analysis shows that the more fully supported by human, capital and information infrastructure, the stronger the effect of promoting urban carbon emission reduction, the main reason is the agglomeration of human capital, financial capital, financial capital and physical capital. It has a significant positive adjustment function for the digital technology innovation of the city.#br#Therefore it is essential to further strengthen the research and development and application of digital technology in the field of carbon emission reduction, give full play to the key role of big data, cloud computing and Internet of Things and other cutting-edge technologies in carbon emission source locking, data analysis, etc., and use digital technology to link the supply and consumption ends of industrial sectors, so that it might be possible to design the zero-carbon power system, low-carbon/zero-carbon terminal energy consumption system and negative emission technology of smart city and realize the refined, online and intelligent management of urban carbon emission. It is also necessary to exert the potential enabling role of advanced industrial structure in urban carbon emission reduction. It is not only significant to speed up the upgrading and transition of the industrial structure to a modern industrial structure dominated by the tertiary industry, but also to promote low-carbon and green development within the industry, and gradually use clean energy to replace fossil energy in traditional industries. Accordingly it is imperative to adopt a variety of public policy measures such as human capital improvement, fiscal and technological expenditure expansion,etc. to support smart cities to enhance digital technology innovation endowments and capabilities, promote the leap-forward development of "new digital infrastructure", digital economy and innovative infrastructure, strengthen the fundamental research on digital technology and focus on common technologies, further shorten the research and development cycle and improve the efficiency of research and development. Lastly it is suggested to expand smart city pilots. On the basis of the first three batches of smart city pilots, sum up experience, gradually cover all cities in my country with smart city construction, improve the intelligence level of construction, management and services of various cities, and make overall planning for the development of Chinese cities.#br#
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Received: 02 June 2022
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| [1] 孙昌龙,靳诺,张小雷,等.城市化不同演化阶段对碳排放的影响差异[J].地理科学,2013，33(3):266-272.[2] 林美顺. 中国城市化阶段的碳减排:经济成本与减排策略[J]. 数量经济技术经济研究, 2016，33(3): 59-77.[3] MARTINEZ-ZARZOSO I, MARUOTTI A. The impact of urbanization on CO2 emissions:evidence from developing. countries[J]. Ecological Economics, 2011(7) : 1344-1353.[4] 陆铭,冯皓.集聚与减排:城市规模差距影响工业污染强度的经验研究[J].世界经济,2014,37(7):86-114.[5] 邵帅,张可,豆建民.经济集聚的节能减排效应:理论与中国经验[J].管理世界,2019,35(1):36-60，226.[6] USMAN A, OZTURK I, HASSAN A,et al. The effect of ICT on energy consumption and economic. growth in South Asian economies: An empirical analysis[J]. Telematics and Informatics, 2020(58):101537.[7] JUNIOR J, BUSSO C, GOBBO S,et al. Making the links among environmental protection, process safety, and industry 4.0[J]. Process Safety & Environmental Protection, 2018(117):372-382.[8] ALAM M M, MURAD M W. The impacts of economic growth, trade openness and technological progress on. renewable energy use in organization for economic co-operation and development countries[J]. Renewable energy, 2020(1):382-390.[9] 石大千,丁海,卫平,等.智慧城市建设能否降低环境污染[J].中国工业经济,2018,35(6):117-135.[10] WANG L ,CHEN Y,RAMSEY T S，et al. Will researching digital technology really empower green development[J]. Technology in Society, 2021(10):101638.[11] 范洪敏,米晓清.智慧城市建设与城市绿色经济转型效应研究[J].城市问题,2021,40(11):96-103.[12] GUO Q, WANG Y, DONG X . Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China[J]. Applied Energy, 2022, 313(5):118879.[13] 李德仁,姚远,邵振峰.智慧城市的概念、支撑技术及应用[J].工程研究——跨学科视野中的工程,2012,4(4):313-323.[14] 陈晓红,胡东滨,曹文治,等.数字技术助推我国能源行业碳中和目标实现的路径探析[J].中国科学院院刊,2021,36(9):1019-1029.[15] 巢清尘.“碳达峰和碳中和”的科学内涵及我国的政策措施[J].环境与可持续发展,2021,46(2):14-19.[16] 郭凯明.人工智能发展、产业结构转型升级与劳动收入份额变动[J].管理世界,2019,35(7):60-77，202-203.[17] 陈小辉,张红伟,吴永超.数字经济如何影响产业结构水平[J].证券市场导报,2020,30(7):20-29.[18] 杨新铭.数字经济:传统经济深度转型的经济学逻辑[J].深圳大学学报(人文社会科学版),2017,34(4):101-104.[19] 陈晓东,杨晓霞.数字经济发展对产业结构升级的影响——基于灰关联熵与耗散结构理论的研究[J].改革,2021,34(3):26-39.[20] 于斌斌.产业结构调整如何提高地区能源效率——基于幅度与质量双维度的实证考察[J].财经研究,2017,62(1):86-97.[21] LI X , LIU J , NI P .The impact of the digital economy on CO2 emissions: a theoretical and empirical. analysis[J]. Sustainability, 2021(13) : 7267-7267.[22] 吴建新,郭智勇.基于连续性动态分布方法的中国碳排放收敛分析[J].统计研究,2016,33(1):54-60. |
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