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Towards high-quality development: how does digital economy impact low-carbon inclusive development?: mechanism and path

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Abstract

High-quality development is the primary task of building a modern socialist country in an all-around way. Innovation, coordination, green development, openness, and sharing are the main connotations of high-quality development. Based on panel data from 286 cities in China, this paper empirically analyzes the impact of the digital economy on low-carbon inclusive development (hereinafter referred to as LIG). The results show that the digital economy has a salient promoting effect on LIG, and with the increase of quantile level, the promoting effect shows a marginal decreasing trend. Heterogeneity analysis found that the cities with low resource dependence and marketization of the digital economy and high environmental concern and competition have more salient promoting effects on LIG. The dimensionality reduction analysis shows that the impact of digital economy on economic growth, social inclusion, and low-carbon ecology gradually increases in turn. The mechanism test shows that R&D investment, green innovation, and market integration play a partial mediating role, while entrepreneurial activity, industrial upgrading, and development imbalance play a fully mediating role. Digital economy promotes urban economic growth and low-carbon ecological development through R&D investment and market integration and mainly promotes low-carbon ecological development through green innovation. The digital economy will promote low-carbon and inclusive urban development by stimulating entrepreneurship, promoting industrial upgrading, and alleviating development imbalances.

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  1. Source: Cyberspace Administration of China: http://www.cac.gov.cn/

References

  • Alharthi M, Hanif I, Alamoudi H (2022) Impact of environmental pollution on human health and financial status of households in MENA countries: future of using renewable energy to eliminate the environmental pollution. Renew Energy 190:338–346

    CAS  Google Scholar 

  • Allen C, Oldfield P, Teh SH, Wiedmann T, Langdon S, Yu M, Yang J (2022) Modelling ambitious climate mitigation pathways for Australia’s built environment. Sustain Cities Soc 77:103554

    Google Scholar 

  • Anshari M, Almunawar MN, Masri M, Hamdan M (2019) Digital Marketplace and FinTech to support agriculture sustainability. Energy Procedia 156:234–238. https://doi.org/10.1016/j.egypro.2018.11.134

    Article  Google Scholar 

  • Audretsch DB, Belitski M, Desai S (2015) Entrepreneurship and economic development in cities. Ann Reg Sci 55(1):33–60

    Google Scholar 

  • Bastida L, Cohen JJ, Kollmann A, Moya A, Reichl J (2019) Exploring the role of ICT on household behavioural energy efficiency to mitigate global warming. Renew Sustain Energy Rev 103:455–462

    Google Scholar 

  • Berliant M, Peng S-K, Wang P (2014) Taxing pollution: agglomeration and welfare consequences. Econ Theor 55(3):665–704

    Google Scholar 

  • Chong CT, Van Fan Y, Lee CT, Klemeš JJ (2022) Post COVID-19 ENERGY sustainability and carbon emissions neutrality. Energy 241:122801

    CAS  Google Scholar 

  • Corrado G, Corrado L (2017) Inclusive finance for inclusive growth and development. Curr Opin Environ Sustain 24:19–23

    Google Scholar 

  • Dadashpoor H, Yousefi Z (2018) Centralization or decentralization? A review on the effects of information and communication technology on urban spatial structure. Cities 78:194–205

    Google Scholar 

  • Deng X, Liang L, Wu F, Wang Z, He S (2022) A review of the balance of regional development in China from the perspective of development geography. J Geog Sci 32(1):3–22

    Google Scholar 

  • Emodi NV, Emodi CC, Murthy GP, Emodi ASA (2017) Energy policy for low carbon development in Nigeria: a LEAP model application. Renew Sustain Energy Rev 68:247–261

    CAS  Google Scholar 

  • Feng S, Zhang R, Li G (2022a) Environmental decentralization, digital finance and green technology innovation. Struct Chang Econ Dyn 61:70–83

    Google Scholar 

  • Feng Y, Zou L, Yuan H, Dai L (2022b) The spatial spillover effects and impact paths of financial agglomeration on green development: evidence from 285 prefecture-level cities in China. J Clean Prod 340:130816

    Google Scholar 

  • Goldfarb A, Tucker C (2019) Digital Economics. J Econ Lit 57(1):3–43. https://doi.org/10.1257/jel.20171452

    Article  Google Scholar 

  • Gries T, Naudé W (2020) Artificial intelligence, income distribution and economic growth

  • Guan H, Guo B, Zhang J (2022) Study on the impact of the digital economy on the upgrading of industrial structures—empirical analysis based on cities in China. Sustainability 14(18):11378

    Google Scholar 

  • Hamid N, Khalid F (2016) Entrepreneurship and innovation in the digital economy. Lahore J Econ 21:273

    Google Scholar 

  • Huang S-Z, Chau KY, Chien F, Shen H (2020) The impact of startups’ dual learning on their green innovation capability: the effects of business executives’ environmental awareness and environmental regulations. Sustainability 12(16):6526

    Google Scholar 

  • Jardot D, Eichhammer W, Fleiter T (2010) Effects of economies of scale and experience on the costs of energy-efficient technologies–case study of electric motors in Germany. Energ Effi 3(4):331–346

    Google Scholar 

  • Ju B-G, Kim M, Kim S, Moreno-Ternero JD (2021) Fair international protocols for the abatement of GHG emissions. Energy Econ 94:105091

    Google Scholar 

  • Kong T, Sun R, Sun G, Song Y (2022) Effects of digital finance on green innovation considering information asymmetry: an empirical study based on Chinese listed firms. Emerg Markets Financ Trade 1–13

  • Kyriakopoulou E, Xepapadeas A (2013) Environmental policy, first nature advantage and the emergence of economic clusters. Reg Sci Urban Econ 43(1):101–116

    Google Scholar 

  • Lange S, Pohl J, Santarius T (2020) Digitalization and energy consumption. Does ICT reduce energy demand? Ecol Econ 176:106760

    Google Scholar 

  • Li G, Zhang R, Feng S, Wang Y (2022a) Digital finance and sustainable development: evidence from environmental inequality in China. Bus Strategy Environ 31(7):3574–3594

    Google Scholar 

  • Li J, Chen L, Chen Y, He J (2022b) Digital economy, technological innovation, and green economic efficiency—empirical evidence from 277 cities in China. Manag Decis Econ 43(3):616–629

    Google Scholar 

  • Li M, Du W (2021) Can internet development improve the energy efficiency of firms: empirical evidence from China. Energy 237:121590

    Google Scholar 

  • Li W, Zhang S, Lu C (2022c) Exploration of China’s net CO2 emissions evolutionary pathways by 2060 in the context of carbon neutrality. Sci Total Environ 831:154909

    CAS  Google Scholar 

  • Li X, Jiang X, Xia Y (2022) Exploring fair and ambitious mitigation contributions of Asian economies for the global warming limit under the Paris Agreement. Climate Change Econ 13(01):2240002

    Google Scholar 

  • Li X, Shao X, Chang T, Albu LL (2022d) Does digital finance promote the green innovation of China’s listed companies? Energy Econ 114:106254

    Google Scholar 

  • Li Y, Yang X, Ran Q, Wu H, Irfan M, Ahmad M (2021) Energy structure, digital economy, and carbon emissions: evidence from China. Environ Sci Pollut Res 28(45):64606–64629

    Google Scholar 

  • Lin B, Ma R (2022) How does digital finance influence green technology innovation in China? Evidence from the financing constraints perspective. J Environ Manage 320:115833

    Google Scholar 

  • Liu M, Lo K (2021) Governing eco-cities in China: urban climate experimentation, international cooperation, and multilevel governance. Geoforum 121:12–22

    Google Scholar 

  • Liu Y, Chen L (2022) The impact of digital finance on green innovation: resource effect and information effect. Environ Sci Pollut Res 29(57):86771–86795

    Google Scholar 

  • Liu J, Jiang Y, Gan S, He L, Zhang Q (2022a) Can digital finance promote corporate green innovation? Environ Sci Pollut Res 29(24):35828–35840

    Google Scholar 

  • Liu Q, Ma Y, Xu S (2022b) Has the development of digital economy improved the efficiency of China’s green economy? [Article]. China Popul Resour Environ 32(3):72–85, Article 1002–2104(2022b)32:3<72:Szjjfz>2.0.Tx;2–5

  • Liu Y, Yang Y, Li H, Zhong K (2022c) Digital economy development, industrial structure upgrading and green total factor productivity: empirical evidence from China’s cities. Int J Environ Res Public Health 19(4):2414

    Google Scholar 

  • Lu C-H (2021) The impact of artificial intelligence on economic growth and welfare. J Macroecon 69:103342

    Google Scholar 

  • Ma D (2017) China’s low carbon economic growth efficiency: an analysis involving carbon sink. Pol J Environ Stud 26(3):1147–1158

    Google Scholar 

  • Mahmod SA (2017) 5G wireless technologies-future generation communication technologies. Int J Comput Digital Syst 6(03):139–147

    Google Scholar 

  • Mao S, Wang B, Tang Y, Qian F (2019) Opportunities and challenges of artificial intelligence for green manufacturing in the process industry. Engineering 5(6):995–1002

    CAS  Google Scholar 

  • Matray A (2021) The local innovation spillovers of listed firms. J Financ Econ 141(2):395–412

    Google Scholar 

  • Mauler L, Duffner F, Leker J (2021) Economies of scale in battery cell manufacturing: the impact of material and process innovations. Appl Energy 286:116499

    Google Scholar 

  • Meng F, Zhang W (2022) Digital finance and regional green innovation: evidence from Chinese cities. Environ Sci Pollut Res 29(59):89498–89521

    Google Scholar 

  • Murshed M (2020) An empirical analysis of the non-linear impacts of ICT-trade openness on renewable energy transition, energy efficiency, clean cooking fuel access and environmental sustainability in South Asia. Environ Sci Pollut Res 27(29):36254–36281

    CAS  Google Scholar 

  • Myers N (1987) Population, environment, and conflict. Environ Conserv 14(1):15–22

    Google Scholar 

  • Ning G (2022) The impact of energy industry structure adjustment on digital media application technology. Energy Rep 8:1463–1471

    Google Scholar 

  • Pan W, Xie T, Wang Z, Ma L (2022) Digital economy: an innovation driver for total factor productivity. J Bus Res 139:303–311

    Google Scholar 

  • Pimentel D, Pimentel M (2006) Global environmental resources versus world population growth. Ecol Econ 59(2):195–198

    Google Scholar 

  • Plumpton D (2019) Cyber-physical systems, Internet of Things, and Big Data in Industry 4.0: digital manufacturing technologies, business process optimization, and sustainable organizational performance. Econ Manag Financial Markets 14(3):23–29

  • Qin X, Wu H, Li R (2022) Digital finance and household carbon emissions in China. China Econ Rev 76:101872

    Google Scholar 

  • Rajamani L, Jeffery L, Höhne N, Hans F, Glass A, Ganti G, Geiges A (2021) National ‘fair shares’ in reducing greenhouse gas emissions within the principled framework of international environmental law. Climate Policy 21(8):983–1004

    Google Scholar 

  • Ranieri R, Almeida Ramos R (2013) Inclusive growth: building up a concept (IPC-IG). Working Paper, 2013, p 104

  • Russell S (2017) Life 3.0: being human in the age of artificial intelligence. Nature 548(7669):520–521. https://doi.org/10.1038/548520a

    Article  CAS  Google Scholar 

  • Shao H, Cheng J, Wang Y, Li X (2022) Can digital finance promote comprehensive carbon emission performance? Evidence from Chinese Cities. Int J Environ Res Public Health 19(16):10255

    Google Scholar 

  • Song J-S, Lee K-M (2010) Development of a low-carbon product design system based on embedded GHG emissions. Resour Conserv Recycl 54(9):547–556

    Google Scholar 

  • Usman A, Ozturk I, Hassan A, Zafar SM, Ullah S (2021) The effect of ICT on energy consumption and economic growth in South Asian economies: an empirical analysis. Telematics Inform 58:101537

    Google Scholar 

  • Wang J, Dong K, Dong X, Taghizadeh-Hesary F (2022a) Assessing the digital economy and its carbon-mitigation effects: the case of China. Energy Econ 113:106198

    Google Scholar 

  • Wang L, Chen L, Li Y (2022b) Digital economy and urban low-carbon sustainable development: the role of innovation factor mobility in China. Environ Sci Pollut Res 29:48539–48557

    Google Scholar 

  • Wang X, Wang X, Ren X, Wen F (2022c) Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach. Energy Econ 109:105966

    Google Scholar 

  • Wang Y, Huo Z, Li D, Zhang M (2022d) Evaluation of common prosperity level and regional difference analysis along the Yangtze River Economic Belt. Int J Environ Res Public Health 19(19):11851

    Google Scholar 

  • Wang Y, Xie M, Wu Y, Zhang X, Wang M, Zhang Y, Xie Y (2022e) Ozone-related co-benefits of China’s climate mitigation policy. Resour Conserv Recycl 182:106288

    CAS  Google Scholar 

  • Wei T, Dong W, Yan Q, Chou J, Yang Z, Tian D (2016) Developed and developing world contributions to climate system change based on carbon dioxide, methane and nitrous oxide emissions. Adv Atmos Sci 33(5):632–643

    CAS  Google Scholar 

  • Wernerfelt B (1984) A resource-based view of the firm. Strateg Manag J 5(2):171–180

    Google Scholar 

  • Wu H, Hao Y, Ren S, Yang X, Xie G (2021) Does internet development improve green total factor energy efficiency? Evid China Energy Policy 153:112247

    Google Scholar 

  • Xiang X, Yang G, Sun H (2022) The impact of the digital economy on low-carbon, inclusive growth: promoting or restraining. Sustainability 14(12):7187

    Google Scholar 

  • Xin L, Sun H, Xia X (2022) Renewable energy technology innovation and inclusive low-carbon development from the perspective of spatiotemporal consistency. Environ Sci Pollut Res 29:59784–59801

    Google Scholar 

  • Xu Z, Yin Y (2021) Regional development quality of Yangtze River Delta: from the perspective of urban population agglomeration and ecological efficiency coordination. Sustainability 13(22):12818

    Google Scholar 

  • Yang C, Masron TA (2022) Impact of digital finance on energy efficiency in the context of green sustainable development. Sustainability 14(18):11250

    Google Scholar 

  • Yang G, Deng F, Wang Y, Xiang XJS (2022) Digital Paradox: platform economy and high-quality economic development—new evidence from provincial panel data in China. 14(4):2225

  • Yi M, Liu Y, Sheng MS, Wen L (2022) Effects of digital economy on carbon emission reduction: new evidence from China. Energy Policy 171:113271

    CAS  Google Scholar 

  • Yin Z, Gong X, Guo P, Wu T (2019) What drives entrepreneurship in digital economy? Evidence from China. Econ Model 82:66–73

    Google Scholar 

  • Yuan H, Feng Y, Lee C-C, Cen Y (2020) How does manufacturing agglomeration affect green economic efficiency? Energy Econ 92:104944

    Google Scholar 

  • Zhang J, Lyu Y, Li Y, Geng Y (2022a) Digital economy: an innovation driving factor for low-carbon development. Environ Impact Assess Rev 96:106821

    Google Scholar 

  • Zhang L, Mu R, Zhan Y, Yu J, Liu L, Yu Y, Zhang J (2022b) Digital economy, energy efficiency, and carbon emissions: evidence from provincial panel data in China. Sci Total Environ 852:158403

    CAS  Google Scholar 

  • Zhao S, Hafeez M, Faisal CMN (2022a) Does ICT diffusion lead to energy efficiency and environmental sustainability in emerging Asian economies? Environ Sci Pollut Res 29(8):12198–12207

    Google Scholar 

  • Zhao S, Peng D, Wen H, Song H (2022b) Does the digital economy promote upgrading the industrial structure of Chinese cities? Sustainability 14(16):10235

    Google Scholar 

  • Zhu X, Zhang Z, Chen X, Jia F, Chai Y (2022) Nexus of mixed-use vitality, carbon emissions and sustainability of mixed-use rural communities: the case of Zhejiang. J Clean Prod 330:129766

    CAS  Google Scholar 

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Funding

The General Project of National Social Science Fund:“Research on the path of ‘Industrial Aid to Xinjiang’ in the problem of Regional Coordinated Development Mechanism” (18BJL083) and General Project of Social Science Foundation of Autonomous region: “Research on the Construction of Modern Industrial System in Xinjiang” (21BJL038). Innovation Project in Xinjiang Autonomous region: “The influence of Digital economy on High-quality Economic Development and its coping Strategy” (XJ2022G052).

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Conceptualization, G.Y. and F.D.; methodology, G.Y.; software, F.W.; validation, X.X. and G.Y.; formal analysis, F.D.; investigation, F.W.; resources, G.Y.; writing—original draft preparation, G.Y.; writing—review and editing, X.X.; visualization, X.X.; supervision, F.D.; project administration, F.D., X.X., and G.Y.; funding acquisition, F.D. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Feng Deng.

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Table 16

Table 16 LIG comprehensive index system

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Yang, G., Xiang, X., Deng, F. et al. Towards high-quality development: how does digital economy impact low-carbon inclusive development?: mechanism and path. Environ Sci Pollut Res 30, 41700–41725 (2023). https://doi.org/10.1007/s11356-023-25185-4

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