数字经济对我国居民消费碳排放影响

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摘要基于2000~2020年我国30省区的面板数据,综合测算了不同层次需求下各省区居民消费碳排放量和数字经济发展指数,运用空间计量模型开展回归分析和空间效应分解,并对数字经济与总体消费碳排放进行门槛效应分析,考察数字经济对居民消费碳排放的影响.研究发现:(1)我国居民消费碳排放整体上升,呈现出东高西低并且向中东部集中的趋势.(2)直接消费碳排放是我国居民消费碳排放的主力,但随着社会发展,其在总体消费碳排放中的占比呈下降趋势,间接消费碳排放比重增加.(3)数字经济的发展能够显著增加本省及邻近地区居民间接消费碳排放以及其中本省的生存型间接消费碳排放;然而,进一步研究发现数字经济与总体消费碳排放之间具有“倒U”型关系,数字经济在达到较高的发展水平后能够促进居民消费碳减排.综上,建议进一步推动数字经济发展,加强对绿色生产生活的引导,从而助力实现“双碳”目标.

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	班楠楠
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关键词 ：数字经济, 居民消费, 碳排放, 需求层次差异, 空间回归

Abstract：Using panel data from 30 provinces and regions in China between 2000 and 2020, this study comprehensively measured the carbon emissions of household consumption and digital economy development index under different levels of demand. By employing a spatial econometric model, we studied the decomposition spatial effect and analyzed the threshold effect of digital economy and overall consumption carbon emissions to investigate the impact of digital economy on carbon emissions from household consumption. The study showed that: (1) the carbon emissions from household consumption in China increased overall, with a trend of high (low) emission in eastern (western) China and concentration in the middle and eastern China. (2) Direct carbon emissions were the main source of carbon emissions from household consumption; but with the development of society, its proportion in the total consumption carbon emissions was declining, while the proportion of indirect emissions were increasing. (3) The development of digital economy could significantly increase indirect carbon emissions from household consumption both in local and its neighboring provinces, and local indirect carbon emissions for survival. However, an "inverted U" relationship was found between the degree of development of digital economy and the overall consumption carbon emissions, and digital economy could promote household consumption carbon emission reduction after reaching a higher level of development. Therefore, it was suggested to further promote the development of the digital economy and strengthen guidance on green production and life, so as to help achieve the "dual carbon" goal.

Key words： digital economy household consumption carbon emissions different levels of demand spatial regression method

收稿日期: 2023-04-29

PACS:

X196

基金资助:辽宁省教育厅基本科研项目(LJKMR20221607);大连市社科联重点项目(2022dlskzd254);辽宁省社科联经济社会发展研究课题(2023lslqnkt-028);辽宁省教育科学“十四五”规划项目(JG21DB175)

通讯作者: 班楠楠,讲师,n.ban@surrey.ac.uk E-mail: n.ban@surrey.ac.uk

作者简介: 班楠楠(1983-),女,讲师,主要从事绿色金融、低碳战略等方面的研究.发表论文10余篇.n.ban@surrey.ac.uk.

引用本文:

班楠楠, 张潇月. 数字经济对我国居民消费碳排放影响[J]. 中国环境科学, 2023, 43(12): 6625-6640. BAN Nan-nan, ZHANG Xiao-yue. Research on the effect of digital economy on carbon emissions from household consumption. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(12): 6625-6640.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I12/6625

[1] 尹龙,杨亚男,章刘成.中国居民消费碳排放峰值预测与分析[J]. 新疆社会科学, 2021,41(4):42-50,168. Yin L, Yang Y N, Zhang L C. Prediction of the carbon emission of the Chinese residents' consumption and analysis[J]. Social Sciences in Xinjiang, 2021,41(4):42-50,168.
[2] 赵定涛,郭韬,范进.中国城镇居民嵌入式碳足迹的测定及演化[J]. 系统工程, 2012,30(5):24-32. Guo D T, Guo T, Fan J. The measurement and evolution of embedded carbon footprint in Chinese urban inhabitants[J]. Systems Engineering, 2012,30(5):24-32.
[3] 李秀香,鲍智敏.论循环社会建设——借助EKC分析消费层次对环境污染的影响[J]. 探索与争鸣, 2009,239(9):46-49. Li X X, Bao Z M. On the construction of circular society: analyzing the impact of consumption level on environmental pollution with the help of EKC[J]. Exploration and Free Views, 2009,239(9):46-49.
[4] 郭蕾,赵益民.需求层次差异下城镇居民消费碳排放影响因素研究——来自华北地区的证据[J]. 城市发展研究, 2022,29(4):110-117. Guo L, Zhao Y M. Research on factors of carbon emissions from urban residents' consumption under different levels of demand: evidence from Northern China[J]. Urban Development Studies, 2022, 29(4):110-117.
[5] 王娟娟.我国数字经济的“两化”发展与区域比较[J]. 中国流通经济, 2023,37(1):12-23. Wang J J. "Two Kinds of Digitization" development of China's digital economyand the regional comparison[J]. China Business and Market, 2023,37(1):12-23.
[6] Bin S, Dowlatabadi H. Consumer lifestyle approach to US energy use and the related CO₂ emissions[J]. Energy Policy, 2005,33(2):197-208.
[7] Baiocchi G, Minx J, Hubacek K. The impact of social factors and consumer behavior on carbon dioxide emissions in the United Kingdom[J]. Journal of Industrial Ecology, 2010,14(1):50-72.
[8] Tilov I, Farsi M, Volland B. Interactions in Swiss households' energy demand: A holistic approach[J]. Energy Policy, 2019,128:136-149.
[9] 宋府霖,韩传峰,滕敏敏.长三角地区能源消费碳排放驱动因素分析及优化策略[J]. 生态经济, 2022,38(4):21-28. Song F L, Han C F, Teng M M. Analysis of driving factors and optimization strategies of energy consumption carbon emissions in the Yangtze River Delta[J]. Ecological Economy, 2022,38(4):21-28.
[10] 梅林海,蔡慧敏.中国南北地区生活消费人均碳排放影响因素比较——基于空间计量分析[J]. 生态经济, 2015,31(7):45-50. Mei L H, Cai H M. Comparison of consumption per capita carbon emission factors between China north and south regions: Based on spatial econometrics analysis[J]. Ecological Economy, 2015,31(7): 45-50.
[11] 杨迪,杨旭,吴相利,等.东北地区能源消费碳排放时空演变特征及其驱动机制[J]. 环境科学学报, 2018,38(11):4554-4565. Yang D, Yang X, Wu X L, et al. Spatio-temporal evolution characteristics of carbon emissions from energy consumption and its driving mechanism in Northeast China[J]. Acta Scientiae Circumstantiae, 2018,38(11):4554-4565.
[12] 罗栋燊,沈维萍,胡雷.城镇化、消费结构升级对碳排放的影响——基于省级面板数据的分析[J]. 统计与决策, 2022,38(9):89-93. Luo D S, Shen W P, Hu L. The impact of urbanization and consumption structure upgrading on carbon emissions: an analysis based on provincial panel data[J]. Statistics & Decision, 2022,38(9): 89-93.
[13] 王军,王杰,李治国.数字金融发展与家庭消费碳排放[J]. 财经科学, 2022,409(4):118-132. Wang J, Wang J, Li Z G. Development of Digital Finance and Carbon Emission of Household Consumption[J]. Finance & Economics, 2022,409(4):118-132.
[14] 詹韵秋,王军,孙小宁.数字经济对家庭消费行为的影响研究——基于中国家庭金融调查的经验分析[J]. 当代经济管理, 2023, 45(2):89-96. Zhan Y Q, Wang J. Sun X N. Research on the influence of digital economy on household consumption behavior: based on the empirical analysis of Chinese household financial survey[J]. Contemporary Economic Management, 2023,45(2):89-96.
[15] 向玉冰.互联网发展与居民消费结构升级[J]. 中南财经政法大学学报, 2018,229(4):51-60. Xiang Y B. The development of the Internet and the upgrading of residents' consumption structure[J]. Journal of Zhongnan University of Economics and Law, 2018,229(4):51-60.
[16] 康敏,孙静.数字经济对我国新型消费市场的影响:理论与实证[J]. 商业经济研究, 2023,861(2):108-111. Kang M, Sun J. The impact of digital economy on China's new consumer market: theory and demonstration[J]. Journal of Commercial Economics, 2023,861(2):108-111.
[17] 冯子洋,宋冬林,谢文帅.数字经济助力实现“双碳”目标:基本途径、内在机理与行动策略[J]. 北京师范大学学报(社会科学版), 2023,295(1):52-61. Feng Z Y, Song D L, Xie W S. Digital economy helps realize the “Double Carbon” Goal: Basic approaches, internal mechanisms and Action Strategies[J]. Journal of Beijing Normal University (Social Sciences), 2023,295(1):52-61.
[18] 王维国,王永玲,范丹.数字经济促进碳减排的效应及机制[J].中国环境科学, 2023,43(8):4437-4448. Wang W G, Wang Y L, Fan D. Effects and mechanisms of the digital economy for carbon emission reduction[J]. China Environmental Science, 2023,43(8):4437-4448.
[19] Belkhir L, Elmeligi A. Assessing ICT global emissions footprint: Trends to 2040& recommendations[J]. Journal of Cleaner Production, 2018,177(10):448-463.
[20] 姜汝川,景辛辛.京津冀地区数字经济发展对碳排放的影响效应——来自2011~2019年13个地级及以上城市的经验证据[J]. 北京社会科学, 2023,240(4):40-50. Jiang R C, Jing X X. Study on the impact of digital economy development on carbon emissions in Beijing-Tianjin-Hebei region: empirical evidence from the city level in 2011~2019[J]. Social Sciences of Beijing, 2023,240(4):40-50.
[21] 杨碧云,郭壮哲,易行健,等.数字经济促进居民家庭消费升级的微观效应——基于CHFS的经验证据研究[J]. 经济评论, 2023,34(3): 31-47. Yang B Y, Guo Z Z, Yi X J, et al. The micro effect of digital economy on household consumption upgrade: Empirical evidence from CHFS[J]. Economic Review, 2023,34(3):31-47.
[22] 周海燕.中国居民消费碳排放的统计测算[J]. 企业经济, 2022,41(9):72-81. Zhou H Y. Statistical calculation of carbon emissions from household consumption in China[J]. Enterprise Economy, 2022,41(9):72-81.
[23] 徐丽,曲建升,李恒吉,等.中国居民能源消费碳排放现状分析及预测研究[J]. 生态经济, 2019,35(1):19-23,29. Xu L, Qu J S, Li H J, et al. Analysis and prediction of residents energy consumption carbon emission in China[J]. Ecological Economy, 2019,35(1):19-23,29.
[24] 崔盼盼,赵媛,张丽君,等.基于不同需求层次的中国城镇居民消费隐含碳排放时空演变机制[J]. 生态学报, 2020,40(4):1424-1435. Cui P P, Zhao Y, Zhang L J, et al. Spatio-temporal evolution and driving mechanism of per capita indirect carbon emissions based on different demand levels from urban residents¢ consumption in China[J]. Acta Ecologica Sinica, 2020,40(4):1424-1435.
[25] 刘明,范丹雪,施子杨.空间溢出视角下数字经济与经济高质量发展[J]. 统计与决策, 2023,39(13):22-27. Liu M, Fan D X, Shi Z Y. Digital economy and high-quality economic development from the perspective of spatial spillover[J]. Statistics & Decision, 2023,39(13):22-27.
[26] 张俊英,郭凯歌,唐红涛.电子商务发展、空间溢出与经济增长——基于中国地级市的经验证据[J]. 财经科学, 2019,(3):105-118. Zhang J Y, Guo K G, Tang H T. E-commerce development, spatial spillover and economic growth——Empirical evidence based on Chinese prefecture-level cities[J]. Finance & Economics, 2019,(3): 105-118.
[27] 王松茂,尹延晓.数字经济对城乡融合具有空间溢出效应吗？——以长江经济带11省(市)为例[J]. 农林经济管理学报, 2022,21(6): 725-735. Wang S M, Yin Y X. Does digital economy have spatial spillover effect on urban-rural integration? A case study of the Yangtze River Economic Belt[J]. Journal of Agro-Forestry Economics and Management, 2022,21(6):725-735.
[28] 周嘉,时小翠,赵靖宇,等.中国居民直接生活能源消费碳排放区域差异及影响因素分析[J]. 安全与环境学报, 2019,19(3):954-963. Zhou J, Shi X C, Zhao J Y, et al. On regional difference and influential factors of carbon emissions from direct living energy consumption of Chinese residents[J]. Journal of Safety and Environment, 2019,19(3): 954-963.
[29] 王青,侯雪峰,曾伏.数字经济发展对城市居民消费的影响研究——基于时期异质性的空间杜宾模型[J]. 经济问题探索, 2023, 487(2):96-106. Wang Q, Hou X F, Zeng F. Research on the impact of digital economy development on urban residents' consumption——Spatial doberman model based on period heterogeneity[J]. Inquiry into Economic Issues, 2023,487(2):96-106.
[30] 王正,樊杰.能源消费碳排放的影响因素特征及研究展望[J]. 地理研究, 2022,41(10):5687-2599. Wang Z, Fan J. The characteristics and prospect of influencing factors of energy-related carbon emissions: Based on literature review[J]. Geographical Research, 2022,41(10):5687-2599.
[31] 华怡婷,石宝峰.互联网使用与家庭间接碳排放:测度及影响因素分析[J]. 重庆大学学报(社会科学版), 2023,29(1):117-134. Hua Y T, Shi B F. Internet usage and household indirect carbon emissions: Measurement and impact factor analysis[J]. Journal of Chongqing University (Social Science Edition), 2023,29(1):117-134.
[32] 江三良,贾芳芳.数字经济何以促进碳减排——基于城市碳排放强度和碳排放效率的考察[J]. 调研世界, 2023,352(1):14-21. Jiang S L, Jia F F. How can the digital economy promote carbon emission reduction——An investigation based on urban carbon emission intensity and carbon emission efficiency[J]. The World of Survey and Research, 2023,352(1):14-21.
[33] 金贵朝,王国梁,何怡然.数字化水平、产业结构调整与区域碳减排[J]. 统计与决策, 2023,39(3):27-32. Jin G Z, Wang G L, He Y R. Digitization level, industrial structure adjustment and regional carbon emission reduction[J/OL]. Statistics & Decision, 2023,39(3):27-32.
[34] 金飞,徐长乐.数字经济发展对碳排放的非线性影响研究[J]. 现代经济探讨, 2022,491(11):14-23. Jin F, Xu C L. Research on the nonlinear impact of digital economy development on carbon emissions[J]. Modern Economic Research, 2022,491(11):14-23.
[35] Arshad Z, Robaina M, Botelho A. The role of ICT in energy consumption and environment: an empirical investigation of Asian economies with cluster analysis[J]. Environmental science and pollution research international, 2020,27(26):32913-32932.
[36] Shi X Y, Xiao H, Liu W F, et al. Confronting the Carbon-Footprint Challenge of Blockchain[J]. Environmental science & technology, 2023,57(3):1403-1410.
[37] Longo S, York R. How Does Information Communication Technology Affect Energy Use?[J]. Human ecology review, 2015,22(1):55-72.
[38] 史琴琴,鲁丰先,陈海,等.中原经济区城镇居民消费间接碳排放时空格局及其影响因素[J]. 资源科学, 2018,40(6):1297-1306. Shi Q Q, Lu X F, Chen H, et al. Temporal-spatial patterns and factors affecting indirect carbon emissions from urban consumption in the Central Plains Economic Region[J]. Resources Science, 2018,40(6): 1297-1306.
[39] 董会娟,耿涌.基于投入产出分析的北京市居民消费碳足迹研究[J]. 资源科学, 2012,34(3):494-501. Dong H J, Geng Y. Study on Carbon Footprint of the Household Consumption in Beijing Based on Input-Output Analysis[J]. Resources Science, 2012,34(3):494-501.
[40] 王媛,程曦,殷培红,等.影响中国碳排放绩效的区域特征研究——基于熵值法的聚类分析[J]. 自然资源学报, 2013,28(7):1106-1116. Wang Y, Cheng X, Yin P H, et al. Research on regional characteristics of china's carbon emission performance based on entropy method and cluster analysis[J]. Journal of Natural Resources, 2013,28(7):1106-1116.
[41] 赵涛,张智,梁上坤.数字经济、创业活跃度与高质量发展——来自中国城市的经验证据[J]. 管理世界, 2020,36(10):65-76. Zhao T, Zhang Z, Liang S K. Digital economy, entrepreneurship, and high-quality economic development: Empirical evidence from urban China[J]. Journal of Management World, 2020,36(10):65-76.
[42] 洪银兴,韩绿艺.从发展消费经济入手构建新发展格局[J]. 湘潭大学学报(哲学社会科学版), 2023,47(1):25-29. Hong Y X, Han L Y. Constructing a new development pattern from the development of consumption economy[J]. Journal of Xiangtan University (Philosophy and Social Sciences), 2023,47(1):25-29.
[43] Guan D, Meng J, Reiner D, et al. Structural decline in China's CO₂ emissions through transitions in industry and energy systems[J]. Nature Geoscience, 2018,11(8):551-557.
[44] 胡雪萍,乐冬.环境规制促进了农业全要素生产率提升吗？[J]. 江汉论坛, 2022,533(11):42-51. Hu X P, Le D. Does environmental regulation improve agricultural total factor productivity?[J]. Jianghan Tribune, 2022,533(11):42-51.
[45] 范洪敏,穆怀中.环境规制对城镇二元劳动力就业的影响——基于劳动力市场分割视角[J]. 经济理论与经济管理, 2017,314(2): 34-47. Fan H M, Mu H Z. Effects of environmental regulations on the employment of urban dual labor——based on the perspective of labor market segmentation[J]. Economic Theory and Business Management, 2017,314(2):34-47.
[46] 李云燕,张硕.中国城市碳排放强度时空演变与影响因素的时空异质性[J]. 中国环境科学, 2023,43(6):3244-3254. Li Y Y, Zhang S. Spatio-temporal evolution of urban carbon emission intensity and spatiotemporal heterogeneity of influencing factors in China[J]. China Environmental Science, 2023,43(6):3244-3254.
[47] 张玉周.中国人口年龄结构变动对能源消费的影响研究——基于省际动态面板数据的GMM分析[J]. 中国人口·资源与环境, 2015, 25(11):69-74. Zhang Y Z. Research on the effects of changes in the age structure of china's population to energy consumption: Based on the provincial dynamic panel data by GMM[J]. China Population, Resources and Environment, 2015,25(11):69-74.
[48] 王少剑,苏泳娴,赵亚博.中国城市能源消费碳排放的区域差异、空间溢出效应及影响因素[J]. 地理学报, 2018,73(3):414-428. Wang S J, Su Y X, Zhao Y B. Regional inequality, spatial spillover effects and influencing factors of China's city-level energy-related carbon emissions[J]. Acta Geographica Sinica, 2018,73(3):414-428.
[49] 周少甫,林享.消费结构升级对碳排放强度的影响研究——基于省级空间面板数据模型的分析[J]. 生态经济, 2019,35(1):24-29. Zhou S F, Lin X. Study on the effect of upgrading consumption structure on carbon emission intensity: Analysis based on provincial spatial panel data model[J]. Ecological Economy, 2019,35(1):24-29.
[50] 尚梅,王蓉蓉,胡振.中国省域能源消费碳排放时空格局演进及驱动机制研究——基于环境规制视角的分析[J]. 环境污染与防治, 2022,44(4):529-534,551. Shang M, Wang R R, Hu Z. Study on spatial and temporal evolution and driving mechanism of carbon emissions from provincial energy consumption in China-the analysis based on the perspective of environmental regulation[J]. Environmental Pollution & Control, 2022,44(4):529-534,551.
[51] 冉光圭,杨宣.西部地区能源消费碳排放时空格局演变及影响因素分析[J]. 贵州民族研究, 2022,43(6):56-61. Ran G G, Yang X. Temporal and spatial pattern evolution and influencing factors of carbon emission from energy consumption in western China[J]. Guizhou Ethnic Studies, 2022,43(6):56-61.
[52] 李勇,蒋蕊,张敏,等.中国数字经济高质量发展水平测度及时空演化分析[J/OL]. 统计与决策, 2023,39(4):90-94. Li Y, Jiang R, Zhang M, et al. Measurement and spatial-temporal evolution of the high-quality development level of china's digital economy[J/OL]. Statistics & Decision, 2023,39(4):90-94.
[53] 赵旭,郑楠.数字经济、新零售转型与居民消费扩张的关系研究[J]. 商业经济研究, 2022,857(22):19-22. Zhao X, Zheng N. Research on the relationship between digital economy, new retail transformation and residential consumption expansion[J]. Journal of Commercial Economics, 2022,857(22):19-22.
[54] 侯冠宇,胡宁宁.支付数字化能否显著提升家庭消费?——基于CHFS微观数据的经验证据[J]. 经济与管理, 2023,37(1):20-28. Hou G Y, Hu N N. Can digital payments significantly increase household spending? empirical evidence based on CHFS microdata[J]. Economy and Management, 2023,37(1):20-28.
[55] 蒋正云,宋金平,赵晓迪.新型城镇化高质量发展生态效应的空间溢出及门槛特征[J]. 经济问题探索, 2023,490(5):97-112. Jiang Z Y, Song J P, Zhao X D. Spatial spillover and threshold characteristics of ecological effects of high-quality development of new-type urbanization[J]. Inquiry into Economic Issues, 2023,490(5):97-112.