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Digital economy, peer influence, and persistent green innovation of firms: a mixed embeddedness perspective

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Abstract

Persistent green innovation helps enterprises save energy, reduce pollution, and continue to gain economic benefits. However, existing studies explored the economic and organizational factors influencing firms’ persistent green innovation while neglecting peer influence in the digital economy. This study examines the impact of digital economy and peer influence on persistent green innovation using data of Chinese-listed companies from 2011 to 2019. The results show that digital economy and peer influence positively affect persistent green innovation. Moreover, digital economy plays a competitive mediating role between peer influence and persistent green innovation. The results of further research show that both the time lag term of peer influence and spatial lag term of digital economy affect persistent green innovation. This study incorporates the three-level elements of enterprise, peer, and city into a unified framework, providing theoretical reference and practical guidance for green innovation to enhance the competitive advantage of enterprises.

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References

  • Adomako S, Tran MD (2022) Local embeddedness, and corporate social performance: the mediating role of social innovation orientation. Corp Soc Responsib Environ Manag 29(2):329–338

    Article  Google Scholar 

  • Al-Abdallah GM, Al-Salim MI (2021). 2021) Benchmark Int J 28(8):2542–2560

    Article  Google Scholar 

  • Amuso V, Poletti G, Montibello D (2020) The digital economy: opportunities and challenges. Global Policy 11(1):124–127

    Article  Google Scholar 

  • Bagwell S (2018) From mixed embeddedness to transnational mixed embeddedness. Int J Entrep Behav Res 24(1):104–120

    Article  Google Scholar 

  • Baron RM, Kenny DA (1986) The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182

    Article  CAS  PubMed  Google Scholar 

  • Begum S, Ashfaq M, Xia E, Awan U (2022) Does green transformational leadership lead to green innovation? The role of green thinking and creative process engagement. Bus Strateg Environ 31(1):580–597

    Article  Google Scholar 

  • Bimonte G, Romano MG, Russolillo M (2021) Green innovation and competition: R&D incentives in a circular economy. Games 12(3):68

    Article  MathSciNet  Google Scholar 

  • Bursztyn L, Ederer F, Ferman B, Yuchtman N (2014) Understanding mechanisms underlying peer effects: evidence from a field experiment on financial decisions. Econometrica 84(8):1273–1301

    MathSciNet  Google Scholar 

  • Busse C, Mahlendorf MD, Bode C (2016) The ABC for studying the too-much-of-a-good-thing effect: a competitive mediation framework linking antecedents, benefits, and costs. Organ Res Methods 19(1):131–153

    Article  Google Scholar 

  • Cai W, Xu F (2022) The impact of the new environmental protection law on eco-innovation: evidence from green patent data of Chinese listed companies. Environ Sci Pollut Res Int 29(7):10047–10062

    Article  PubMed  Google Scholar 

  • Cao YN (2021) Modeling logistic enterprise re-location decision by a nested logit model. Reg Sci Inq 13(1):49–57

    Google Scholar 

  • Delcart L, Neacsu N (2018) Regions and cities as stimulators towards green and digital economy. Int J Innov Digit Econ 9(4):1–10

    Article  Google Scholar 

  • Du G, Zhou C, Ma Y (2023) Impact mechanism of environmental protection tax policy on enterprises’ green technology innovation with quantity and quality from the micro-enterprise perspective. Environ Sci Pollut Res Int 30(33):80713–80731

    Article  PubMed  Google Scholar 

  • Du K, Cheng Y, Yao X (2020) Environmental regulation, green technology innovation, and industrial structure upgrading: the road to the green transformation of Chinese cities. Energy Econ 98:105247

    Article  Google Scholar 

  • Elhorst JP (2014) Spatial econometrics: from cross-sectional data to spatial panels. Springer, Berlin

    Book  Google Scholar 

  • Eraydin A (2002) The local embeddedness of firms in Turkish industrial districts: the changing roles of networks in local development. In: Leonard S, Taylor M (eds) Embedded Enterprise and Social Capital: International Perspectives. Routledge, pp 269–288

    Google Scholar 

  • Fambeu AH, Mbondo GD (2022) Endogenous peer effects and level of informality: some evidence from micro and small firms in Cameroon. Rev Soc Econ 80(3):387–421

    Article  Google Scholar 

  • Fang J, Gul FA, Sami H, Zhou H (2021) Peer firms in audit pricing: evidence under high uncertainty settings. J Acc Audit Financ 36(4):881–908

    Google Scholar 

  • Galliano D, Nadel S, Triboulet P (2023) The geography of environmental innovation: a rural/urban comparison. Ann Reg Sci 71(1):27–59

    Article  Google Scholar 

  • Gopalakrishnan S, Zhang H (2019) Client dependence: a boon or bane for vendor innovation? A competitive mediation framework in IT outsourcing. J Bus Res 103:407–416

    Article  Google Scholar 

  • Grabher G (1993) The embedded firm: on the socioeconomics of industrial networks. Routledge

    Google Scholar 

  • Granovetter M (1985) Economic action and social structure: the problem of embeddedness. Am J Sociol 91(3):481–510

    Article  Google Scholar 

  • Grilli L, Rampichini C (2011) The role of sample cluster means in multilevel models: a view on endogeneity and measurement error issues. Methodology 7(4):121–133

    Article  Google Scholar 

  • Gu J (2016) Spatial diffusion of social policy in China: spatial convergence and neighborhood interaction of vocational education. Appl Spat Anal Policy 9(4):503–524

    Article  MathSciNet  Google Scholar 

  • Gu J (2021a) Determinants of biopharmaceutical R&D expenditures in China: the impact of spatiotemporal context. Scientometrics 126:6659–6680

    Article  PubMed  PubMed Central  Google Scholar 

  • Gu J (2021b) Spatial dynamics between firm sales and environmental responsibility: the mediating role of corporate innovation. Sustainability 13(4):1648

    Article  Google Scholar 

  • Gu J (2021c) Spatiotemporal context and firm performance: the mediating effect of strategic interaction. Growth Chang 52(1):371–391

    Article  Google Scholar 

  • Gu J (2022a) CEO cognitive trust, governmental support and marketing innovation: empirical evidence from Chinese small, medium and micro enterprises. J Knowl Manag 26(9):2463–2484

    Article  Google Scholar 

  • Gu J (2022b) Do neighbours shape the tourism spending of rural households? Evidence from China. Curr Issue Tour 26(3):2217–2221. https://doi.org/10.1080/13683500.2022.2117595

    Article  Google Scholar 

  • Gu J (2022c) Importance of neighbors in rural households’ conversion to cleaner cooking fuels: the impact and mechanisms of peer effects. J Clean Prod 379(4):134776

    Article  Google Scholar 

  • Gu J (2022d) Spatiotemporal dynamics of the patent race: empirical evidence from listed companies in China. Asian J Technol Innov 30(1):106–133. https://doi.org/10.1080/19761597.2020.1830813

    Article  Google Scholar 

  • Gu J (2023a) Firm performance and corporate social responsibility: spatial context and effect mechanism. SAGE Open 13(1):1–16

    Article  Google Scholar 

  • Gu J (2023b) High-speed rails and city innovation system: empirical evidence from China. Systems 11(1):24

    Article  Google Scholar 

  • Gu J (2023c) The impacts of the low-carbon city policy on urban air pollution in China. Energy Environ 000(000):1–20. https://doi.org/10.1177/0958305X2311516

    Article  Google Scholar 

  • Guarascio D, Tamagni F (2019) Persistence of innovation and patterns of firm growth. Res Policy 48(6):1493–1512

    Article  Google Scholar 

  • Guo Q, Wu Z, Jahanger A, Ding C, Guo B, Awan A (2022) The spatial impact of digital economy on energy intensity in China in the context of double carbon to achieve the sustainable development goals. Environ Sci Pollut Res Int 000(000):1–17. https://doi.org/10.1007/s11356-022-24814-8

    Article  Google Scholar 

  • Haufler A, Maier U (2019) Regulatory competition in capital standards: a ‘race to the top’ result. J Bank Financ 106:180–194

    Article  Google Scholar 

  • He Z, Lu W, Hua G, Wang J (2021) Factors affecting enterprise level green innovation efficiency in the digital economy era – evidence from listed paper enterprises in China. Bioresources 16(4):7648–7670

    Article  CAS  Google Scholar 

  • Herberger TA, Dötsch JJ (2022) Digitalization, digital transformation and sustainability in the global economy: risks and opportunities. Springer

    Google Scholar 

  • Hoffer A, Humphreys BR, Ruseski JE (2019) State cigarette taxes and health expenditures: evidence from dynamic spatial lag panel models. Pap Reg Sci 98(2):925–950

    Article  Google Scholar 

  • Hou X, Zhang D, Fu L, Zeng F, Wang Q (2023) Spatio-temporal evolution and influencing factors of coupling coordination degree between urban–rural integration and digital economy. Sustainability 15(12):9718

    Article  Google Scholar 

  • Hu D, Jiao J, Chen C, Xiao R, Tang Y (2022) Does global value chain embeddedness matter for the green innovation value chain? Front Environ Sci 10:779617

    Article  Google Scholar 

  • Huber M (2019) Resource geography II: what makes resources political? Prog Hum Geogr 43(3):553–564

    Article  Google Scholar 

  • Jiao J, Zhang X, Tang Y (2020) What factors determine the survival of green innovative enterprises in China? -- A method based on fsQCA. Technol Soc 62:101314

    Article  PubMed  PubMed Central  Google Scholar 

  • Kaganer E, Gregory RW, Sarker S (2023) A process for managing digital transformation: an organizational inertia perspective. J Assoc Inf Syst 24(4):1005–1030

    Google Scholar 

  • Kee T (2019) Peer firm identification using word embeddings. In: 2019 IEEE International Conference on Big Data (Big Data). Los Angeles, CA, USA, IEEE, pp 5536–5543. https://doi.org/10.1109/BigData47090.2019.9006438

  • 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 Mark Financ Trade 58(15):4399–4411

    Article  Google Scholar 

  • Leick B, Gretzinger S, Roddvik IN (2023) Creative entrepreneurs and embeddedness in non-urban places: a resource exchange and network embeddedness logic. Int J Entrep Behav Res 29(5):1133–1157

    Article  Google Scholar 

  • Li J, Lian G, Xu A (2023) How do ESG affect the spillover of green innovation among peer firms? Mechanism discussion and performance study. J Bus Res 158:113648

    Article  Google Scholar 

  • Li L, Sarkar A, Zhou X, Ding X, Li H (2022a) Influence and action mechanisms of governmental relations embeddedness for fostering green production demonstration household: evidence from Shaanxi, Sichuan, and Anhui Province, China. Int J Environ Res Public Health 19(19):11923

    Article  PubMed  PubMed Central  Google Scholar 

  • Li R, Xu G, Ramanathan R (2022b) The impact of environmental investments on green innovation: an integration of factors that increase or decrease uncertainty. Bus Strateg Environ 31(7):3388–3405

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Liang W, Qiaoqiao Z, Wenpei F, Chengyuan W, Shanyong W (2021) A literature review of corporate green innovation behavior from the perspective of peer effect and prospect: an integrated theoretical framework. J Univ Sci Technol China 51(3):173–184

    Article  Google Scholar 

  • Lin X-J, Lv H, Hao L, He N (2016) Technological embedding, industrial integration, industrial upgrading----discuss about the role of information technology in industrial upgrading and transformation. Int J Econ Financ 8(2):39–50

    Article  Google Scholar 

  • Liu L, Ding T, Wang H (2022a) Digital economy, technological innovation and green high-quality development of industry: a study case of China. Sustainability 14(17):11078

    Article  Google Scholar 

  • Liu L, Du L, Liu X (2022b) Lessons from failure: pollution blacklisting and firm’s green innovation. Sustain Dev 000(000):1–9. https://doi.org/10.1002/sd.2404

    Article  Google Scholar 

  • Liu Q, Yang X, Shen Z, Štreimikienė D (2022c) Digital economy and substantial green innovation: empirical evidence from Chinese listed companies. Tech Anal Strat Manag 000(000):1–15. https://doi.org/10.1080/09537325.2022.2156336

    Article  Google Scholar 

  • Liu X, Du H, Tang L, Bo X, Li J, Zuo J, Brown MA, Jia M, Feng K (2022d) Relocating industrial plants delivers win–win emission reduction benefits to origin and destination regions. Environ Sci Technol 56(22):16043–16054

    Article  ADS  CAS  PubMed  Google Scholar 

  • Liu X, Wang F, Wong C (2022e) Impact of traditional behavior of customers, employees, and social enterprises on the fear of change and resistance to innovation. Front Psychol 13:923094

    Article  PubMed  PubMed Central  Google Scholar 

  • Liu Y, Yang Y, Li H, Zhong K (2022f) 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

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  Google Scholar 

  • Long TQ (2021) Is innovation activity persistent among small firms in developing countries? Evidence from Vietnam. J Asia Pac Econ 26(1):140–157

    Article  Google Scholar 

  • Ma J, Hu Q, Shen W, Wei X (2021) Does the low-carbon city pilot policy promote green technology innovation? Based on green patent data of Chinese A-share listed companies. Int J Environ Res Public Health 18(7):3695

    Article  PubMed  PubMed Central  Google Scholar 

  • Machokoto M, Gyimah D, Ntim CG (2021) Do peer firms influence innovation? Br Account Rev 53(5):100988

    Article  Google Scholar 

  • Moradi E, Jafari SM, Doorbash ZM, Mirzaei A (2022) Impact of organizational inertia on business model innovation, open innovation and corporate performance. Asia Pac Manag Rev 26(4):171–179

    Google Scholar 

  • Nam VH, Tram HB (2021) Business environment and innovation persistence: the case of small- and medium-sized enterprises in Vietnam. Econ Innov New Technol 30(3):239–261

    Article  Google Scholar 

  • Nunnenkamp P, Mukim M (2012) The clustering of FDI in India: the importance of peer effects. Appl Econ Lett 19(8):749–753

    Article  Google Scholar 

  • Oprescu G, Eleodor D (2014) The impact of the digital economy’s development on competition. Calitatea 15(S4):9–20

    Google Scholar 

  • Orlandi LB, Zardini A, Rossignoli C (2021) Highway to hell: cultural propensity and digital infrastructure gap as recipe to entrepreneurial death. J Bus Res 123:188–195

  • Pan H, Yang J, Zhou H, Zheng X, Hu F (2022a) Global value chain embeddedness, digital economy and green innovation—evidence from provincial-level regions in China. Front Environ Sci 10:1027130

    Article  Google Scholar 

  • Pan X, Xu G, Zhu N (2022b) Spatial peer effect of enterprises’ digital transformation: empirical evidence from spatial autoregressive models. Sustainability 14(19):12576

    Article  Google Scholar 

  • Peng X, Fang P, Lee S, Zhang Z (2022) Does executives’ ecological embeddedness predict corporate eco-innovation? Empirical evidence from China. Tech Anal Strat Manag 000(000):1–14. https://doi.org/10.1080/09537325.2022.2106421

    Article  Google Scholar 

  • Quinones G, Heeks R, Nicholson B (2021) Embeddedness of digital start-ups in development contexts: field experience from Latin America. Inf Technol Dev 27(2):171–190

    Article  Google Scholar 

  • Rupasingha A, Marré AW (2020) Moving to the hinterlands: agglomeration, search costs and urban to rural business migration. J Econ Geogr 20(1):123–153

    Google Scholar 

  • Schmidt LM, Hansen HK (2022) The role of non-local external resources and less-urban location in design processes - a study of the Danish fashion industry. Geografisk Tidsskrift 122(2):103–116

    Article  Google Scholar 

  • Shang T-T, Tian M, Tao N, Chen Y (2022) Market-oriented green innovation model: conceptualisation and scale development of disruptive green innovation. Asian J Technol Innov 30(3):672–688

    Article  Google Scholar 

  • Smith SW (2014) Follow me to the innovation frontier? Leaders, laggards, and the differential effects of imports and exports on technological innovation. J Int Bus Stud 45(3):248–274

    Article  Google Scholar 

  • Soeldner C-C (2016) Open innovation in embedded systems. Springer Gabler

    Google Scholar 

  • Teofilus T, Ardyan E, Sutrisno TFCW, Sabar S, Sutanto V (2022) Managing organizational inertia: Indonesian family business perspective. Front Psychol 13:839266

    Article  PubMed  PubMed Central  Google Scholar 

  • Tian H, Zhao L, Yunfang L, Wang W (2023) Can enterprise green technology innovation performance achieve “corner overtaking” by using artificial intelligence?—Evidence from Chinese manufacturing enterprises. Technol Forecast Soc Change 194:122732

    Article  Google Scholar 

  • Triguero Á, Córcoles D (2013) Understanding innovation: an analysis of persistence for Spanish manufacturing firms. Res Policy 42(2):340–352

    Article  Google Scholar 

  • Verver M, Dahles H, Soeterbroek I (2021) Scaling for social enterprise development: a mixed embeddedness perspective on two Dutch non-profit organisations. J Soc Entrep 000(000):1–26. https://doi.org/10.1080/19420676.2021.1993967

    Article  Google Scholar 

  • Wang C, Xu M, Olsson G, Liu Y (2020) Characterizing of water-energy-emission nexus of coal-fired power industry using entropy weighting method. Resour Conserv Recycl 161:104991

    Article  Google Scholar 

  • Wang J, Zhao L, Zhu R (2022a) Peer effect on green innovation: evidence from 782 manufacturing firms in China. J Clean Prod 380:134923

    Article  Google Scholar 

  • Wang X, Yeung G, Li X, Wang L (2022b) Does inter-regional investment by publicly listed companies promote local green total factor productivity? A study of the mediation effects of green patents in China. J Clean Prod 339:130582

    Article  Google Scholar 

  • Wang X, Su Z, Mao J (2023a) How does haze pollution affect green technology innovation? A tale of the government economic and environmental target constraints. J Environ Manag 334:117473

  • Wang Y, Liu J, Yang X, Shi M, Ran R (2023b) The mechanism of green finance’s impact on enterprises’ sustainable green innovation. Green Finance 5(3):452–478

    Article  Google Scholar 

  • Wang Y, Peng Q, Jin C, Ren J, Fu Y, Yue X (2023c) Whether the digital economy will successfully encourage the integration of urban and rural development: a case study in China. Chin J Popul Resour Environ 21(1):13–25

    Article  CAS  Google Scholar 

  • Williams CA, Zumbansen P (2011) The embedded firm: corporate governance, labor, and finance capitalism. Cambridge University Press

    Book  Google Scholar 

  • Wu X, Li Y, Feng C (2023) Green innovation peer effects in common institutional ownership networks. Corp Soc Responsib Environ Manag 30(2):641–660

    Article  Google Scholar 

  • Xiao R, Ma C-A, Song G-R, Chang H-Y (2022) Does peer influence improve firms’ innovative investment? Evidence from China. Energy Rep 8:1143–1150

    Article  Google Scholar 

  • Xie R, Teo TSH (2022) Green technology innovation, environmental externality, and the cleaner upgrading of industrial structure in China — considering the moderating effect of environmental regulation. Technol Forecast Soc Change 184:122020

    Article  Google Scholar 

  • Xie X, Huo J, Zou H (2019) Green process innovation, green product innovation, and corporate financial performance: a content analysis method. J Bus Res 101:697–706

    Article  Google Scholar 

  • Yi Y, Zeng S, Chen H (2023) Benchmarking effect: how information accessibility affects focal firms’ imitation of successful peers’ green innovation. IEEE Trans Eng Manag 000:1–11. https://doi.org/10.1109/TEM.2023.3292524

    Article  Google Scholar 

  • Yu Z, Xiao X (2022) Green supply chain management and innovation persistence-based on environmental turbulence perspective. Eur J Innov Manag 000(000):1–39. https://doi.org/10.1108/EJIM-05-2022-0230

    Article  Google Scholar 

  • Zhang J, Yang Z, Meng L, Han L (2022a) Environmental regulations and enterprises innovation performance: the role of R&D investments and political connections. Environ Dev Sustain 24(3):4088–4109

    Article  Google Scholar 

  • Zhang S, Xu X, Wang F, Zhang J (2022b) Does cooperation stimulate firms’ eco-innovation? Firm-level evidence from China. Environ Sci Pollut Res Int 29(51):78052–78068

    Article  PubMed  Google Scholar 

  • Zhang W, Liu X, Wang D, Zhou J (2022c) Digital economy and carbon emission performance: evidence at China’s city level. Energy Policy 165:112927

    Article  CAS  Google Scholar 

  • Zhao X, Lynch JG, Chen Q (2010) Reconsidering Baron and Kenny: myths and truths about mediation analysis. J Consum Res 37(2):197–206

  • Zheng H, Ye A (2023) Direct imitation or indirect reference?—research on peer effects of enterprises’ green innovation. Environ Sci Pollut Res Int 30(14):41028–41044

    Article  PubMed  Google Scholar 

  • Zhong X, Song T, Chen W (2022) Persistent innovation underperformance and firms’ R&D internationalization: the moderating effects of multidimensional TMT human capital. Ind Mark Manag 102:576–587

    Article  Google Scholar 

  • Zhou M, Govindan K, Xie X (2020) How fairness perceptions, embeddedness, and knowledge sharing drive green innovation in sustainable supply chains: an equity theory and network perspective to achieve sustainable development goals. J Clean Prod 260:120950

    Article  Google Scholar 

  • Zhou Y, Wang X, Holguín-Veras J (2016) Discrete choice with spatial correlation: a spatial autoregressive binary probit model with endogenous weight matrix (SARBP-EWM). Transp Res B Methodol 94:440–455

    Article  Google Scholar 

  • Zhu Y, Gao H, Hu Y, Ding Q, Tang Y (2023) Can local environmental constraints improve enterprise’s green innovation quality? Evidence from Chinese-listed firms. Environ Sci Pollut Res Int 30(1):389–406

    Article  PubMed  Google Scholar 

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Funding

This research is funded by the National Social Science Foundation of China (17BSH122).

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Appendix

Appendix

Results of the spatial autocorrelation test

Year

Moran’s I

z

p-value

Geary’s C

z

p-value

2011

0.187***

21.216

0.000

0.781***

−3.279

0.001

2012

0.194***

21.963

0.000

0.75***

−4.111

0.000

2013

0.199***

22.495

0.000

0.77***

−4.061

0.000

2014

0.203***

22.933

0.000

0.773***

−4.415

0.000

2015

0.249***

28.163

0.000

0.753***

−4726

0.000

2016

0.221***

24.939

0.000

0.802***

−3.822

0.000

2017

0.189***

21.34

0.000

0.82***

−3.585

0.000

2018

0.196***

22.113

0.000

0.807***

−4.198

0.000

2019

0.214***

24.136

0.000

0.756***

−5.708

0.000

  1. ***p < 0.01

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Gu, J. Digital economy, peer influence, and persistent green innovation of firms: a mixed embeddedness perspective. Environ Sci Pollut Res 31, 13883–13896 (2024). https://doi.org/10.1007/s11356-024-32024-7

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