Abstract
Virtual agglomeration of manufacturing has become a new driving force for improving the green total factor productivity of enterprises, which is of great significance in achieving the sustainable development of manufacturing enterprises and the construction of manufacturing power. This paper clarifies the connotation, model, and characteristics of manufacturing virtual agglomeration. Based on the five dimensions of virtual agglomeration platform, digitization of subjects, data center, virtual cooperation network, and logistics service, this paper constructs an index system for the manufacturing virtual agglomeration. Entropy weight method was used to measure the level of manufacturing virtual agglomeration from 2012 to 2021. Furthermore, this paper analyzes and tests the influence mechanism of manufacturing virtual agglomeration on the green total factor productivity of enterprises. This paper finds that manufacturing virtual agglomeration improves the green total factor productivity of enterprises, which shows a nonlinear relationship. The mechanism test results show that manufacturing virtual agglomeration improves the green total factor productivity of enterprises by accelerating green technology innovation, forming a scale economy, and reducing transaction costs. The heterogeneity analysis shows that the promotion effect of virtual agglomeration in manufacturing on the green total factor productivity of enterprises is affected by the property rights and scale of the enterprise.
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References
Adebanjio D, Michaelides R (2010) Analysis of web 2.0 enabled e-clusters: a case study. Technovation 30:238–248. https://doi.org/10.1016/j.technovation.2009.09.001
Alcarria R, Bordel B, Robles T, Martín D, Manso-Callejo MÁ (2018) A blockchain-based authorization system for trustworthy resource monitoring and trading in smart communities. Sensors 18:3561. https://doi.org/10.3390/s18103561
Almulali U, Sheauting L, Ozturk I et al (2015) The global move toward internet shopping and its influence on pollution: an empirical analysis. Environ Sci Pollut Res 22:9717–9727. https://doi.org/10.1007/s11356-015-4142-2
Altuntas M, Berry-Stölzle TR, Cummins JD (2021) Enterprise risk management and economies of scale and scope: evidence from the German insurance industry. Ann Oper Res 299:811–845. https://doi.org/10.1007/s10479-019-03393-x
Avenyo EK, Tregenna F (2022) Greening manufacturing: technology intensity and carbon dioxide emissions in developing countries. Appl Energy 324:119726. https://doi.org/10.1016/j.apenergy.2022.119726
Baron RM, Kenny DA (1986) The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51:1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
Behl A, Kamboj S, Sarmah B, Pereira V, Sharma K, Rammal HG, Arrigo E (2023) Customer involvement and servitization in hybrid offerings: moderating role of digitalization and co-creation. Int Mark Rev. https://doi.org/10.1108/IMR-11-2021-0325
Beveren IV (2012) Total factor productivity estimation: a practical review. J Econ Surv 26:98–128. https://doi.org/10.1111/j.1467-6419.2010.00631.x
Brown DH, Lockett NJ (2001) Engaging SMEs in e-commerce: the role of intermediaries within e-clusters. Electron Mark 11:52–58. https://doi.org/10.1080/10196780121767
Chen C, Ye F, Xiao H, Xie W, Liu B, Wang L (2023a) The digital economy, spatial spillovers and forestry green total factor productivity. J Clean Prod 405:136890. https://doi.org/10.1016/j.jclepro.2023.136890
Chen S, Yang Y, Wu T (2023b) Digital economy and green total factor productivity—based on the empirical research on the resource-based cities. Environ Sci Pollut Res 30:47394–47407. https://doi.org/10.1007/s11356-023-25547-y
Cheng Z, Jin W (2022) Agglomeration economy and the growth of green total-factor productivity in Chinese industry. Socio-Econ Plan Sci 83:101003. https://doi.org/10.1016/j.seps.2020.101003
Cheng Z, Li X, Zhu Y, Wang M (2023) The effects of agglomeration externalities on urban green total-factor productivity in China. Econ Syst 47:101025. https://doi.org/10.1016/j.ecosys.2022.101025
Chu Z, Cheng MW (2021) A smart city is a less polluted city. Technol Forecast Soc Chang 172:121037. https://doi.org/10.1016/j.techfore.2021.121037
Chu Z, Chen XW, Cheng MW, Zhao X, Wang ZX (2023) Booming house prices: friend or foe of innovative firms? J Technol Transf 1–18. https://doi.org/10.1007/s10961-023-10005-1
Dagum C (1997) A new approach to the decomposition of the Gini income inequality ratio. Income Inequality, Poverty, Econ Welfare. https://doi.org/10.1007/978-3-642-51073-1_4
Du JL, Liu Y, Diao WX (2019) Assessing regional differences in green innovation efficiency of industrial enterprises in China. J Environ Res Public Health 16:940. https://doi.org/10.3390/ijerph16060940
Glaeser EL, Kallal HD, Scheinkman JA, Shleifer A (1992) Growth in cities. J Polit Econ 100:1126–1152. https://www.jstor.org/stable/2138829
Hansen BE (2012) Threshold effects in non-dynamic panels: estimation, testing, and inference. J Econom 93:345–368. https://doi.org/10.1016/S0304-4076(99)00025-1. (10.1111/jori.12152)
Huang HY, Mbanyele W, Wang FR, Song M, Wang YZ (2022a) Climbing the quality ladder of green innovation: Does green finance matter? Technol Forecast Soc Change 184:122007. https://doi.org/10.1016/j.techfore.2022.122007
Huang HY, Mbanyele W, Wang FR, Zhang C, Zhao X (2022b) Nudging corporate environmental responsibility through green finance? Quasi-natural experimental evidence from China. J Bus Res 167:114147. https://doi.org/10.1016/j.jbusres.2023.114147
Khan TM, Zhu N, Yan J, Hassan H (2023) From shareholder to stakeholder engagement: how regular and irregular corporate social responsibility affects CEO compensation. Sustain Dev 31:2548–2564. https://doi.org/10.1002/sd.2531
Krugman P (1994) The myth of Asia’s miracle. Foreign Affairs 62–78. https://doi.org/10.2307/20046929
Lanzolla G, Anderson J (2008) Digital transformation. Bus strateg rev 19:72–76. https://doi.org/10.1111/j.1467-8616.2008.00539.x
Lee CC, Qin S, Li Y (2022) Does industrial robot application promote green technology innovation in the manufacturing industry? Technol Forecast Soc Change 183:121893. https://doi.org/10.1016/j.techfore.2022.121893
Li Y, Chen Y (2021) Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration. Renew Sustain Energy Rev 145:111131. https://doi.org/10.1016/j.rser.2021.111131
Li J, Chen L, Chen Y, He J (2022a) Digital economy, technological innovation, and green economic efficiency—empirical evidence from 277 cities in China. Manage Decis Econ 43:616–629. https://doi.org/10.1002/mde.3406
Li R, Rao J, Wan L (2022b) The digital economy, enterprise digital transformation, and enterprise innovation. MDE Manag Decis Econ 43:2875–2886. https://doi.org/10.1002/mde.3569
Liu X, Bae J (2018) Urbanization and industrialization impact of CO2 emissions in China. J Clean Prod 172:178–186. https://doi.org/10.1016/j.jclepro.2017.10.156
Liu J, Chang HH, Forrest JYL, Yang BH (2020) Influence of artificial intelligence on technological innovation: evidence from the panel data of China’s manufacturing sectors. Technol Forecast Soc Change 158:120–142. https://doi.org/10.1016/j.techfore.2020.120142
Lu P, Liu J, Wang Y, Ruan L (2021) Can industrial agglomeration improve regional green total factor productivity in China? An empirical analysis based on spatial econometrics. Growth Chang 52(2):1011–1039. https://doi.org/10.1111/grow.12488
Maria C, Eleonora DM, Stefano M (2004) From local networks of SMEs to virtual districts? Evidence from Recent Trends in Italy. Res Policy 33:1509–1528. https://doi.org/10.1016/j.respol.2004.08.009
Molina A, Bremer CF, Eversheim W (2001) Achieving critical mass: a global research network in system engineering. Foresight 3:59–65. https://doi.org/10.1016/0041-1647(67)90035-4
Muzzi C, Albertini S (2015) Communities and managerial competencies supporting SMEs innovation networking: a longitudinal case study. R D Mange 18:196–211. https://doi.org/10.1111/radm.12060
Ning K, Xu GN, Mu XZ, Yang HR, Qiao YY (2022) How virtual clusters affect innovation performance: evidence from global hydropower industry. J Clean Prod 352:131554. https://doi.org/10.1016/j.jclepro.2022.131554
Nuccio M, Guerzoni M (2019) Big data: Hell or heaven? Digital platforms and market power in the data-driven economy. Compet Change 23:312–328. https://doi.org/10.1177/1024529418816525
Pan W, Xie T, Wang Z, Ma L (2022) Digital economy: an innovation driver for total factor productivity. J Bus Res 139:303–311. https://doi.org/10.1016/j.jbusres.2021.09.061
Plavčan P, Funta R (2020) Some economic characteristics of internet platforms. Danube 11:156–167. https://doi.org/10.2478/danb-2020-0009
Salvador E, Mariotti I, Conicella F (2013) Science park or innovation cluster? Similarities and differences in physical and virtual firms' agglomeration phenomena. Int J Entrep Behav Res 19:656–674. https://doi.org/10.1108/IJEBR-10-2012-0108
Scott AJ, Storper M (2015) The nature of cities: the scope and limits of urban theory. Int J Urban Reg Res 39:1–15. https://doi.org/10.1111/1468-2427.12134
Shen Y, Yue S, Sun S, Guo M (2020) Sustainable total factor productivity growth: The case of China. J Clean Prod 256:120727. https://doi.org/10.1016/j.jclepro.2020.120727
Wang L, Chen Y, Ramsey TS, Hewings GJ (2021) Will researching digital technology really empower green development? Technol Soc 66:101638. https://doi.org/10.1016/j.techsoc.2021.101638
Wang J, Liu Y, Wang W, Wu H (2023) How does digital transformation drive green total factor productivity? Evidence from Chinese listed enterprises. J Clean Prod 406:136954. https://doi.org/10.1016/j.jclepro.2023.136954
Wasko M, Teigland R, Leidner D, Jarvenpaa S (2011) Stepping into the internet: new ventures in virtual worlds. MIS Q 35:645–652. https://doi.org/10.2307/23042801
Wilson A (1967) A statistical theory of spatial distribution models. Transp Res 1:253–267. https://doi.org/10.1016/0041-1647(67)90035-4
Yan J, Khan TM, Zhu N, Khan MA, Hassan H (2023) Does CEO’s initial tenure enhance CSR practices? Evaluating the consequences of CEO’s initial tenure CSR engagement in China. Environ Dev Sustain 1–24. https://doi.org/10.1007/s10668-023-03578-2
Yang BX, Li XG, Kou K (2022) Research on the influence of network embeddedness on innovation performance: Evidence from China’s listed firms. J Innov Knowl 7:100210. https://doi.org/10.1016/j.jik.2022.100210
Yang J, Wu R, Yang H (2023) Digital transformation and enterprise sustainability: the moderating role of regional virtual agglomeration. Sustain 15:7597. https://doi.org/10.3390/su15097597
Zhang C, Liu C (2015) The impact of ICT industry on CO2 emissions: a regional analysis in China. Renew Sust Energ Rev 44:12–19. https://doi.org/10.1016/j.rser.2014.12.011
Zhou X, Zhou D, Wang Q, Su B (2019) How information and communication technology drives carbon emissions: a sector-level analysis for China. Energy Econ 81:380–392. https://doi.org/10.1016/j.eneco.2019.04.014
Zutshi A, Grilo A (2019) The emergence of digital platforms: a conceptual platform architecture and impact on industrial engineering. Comput Ind Eng 136:546–555. https://doi.org/10.1016/j.cie.2019.07.027
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This work was supported by The Ministry of Education of Humanities and Social Science Project of China (Grant numbers [22XJCZH004]).
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All authors contributed to the study conception and design. The first draft of the manuscript was written by QZ. The construction of the thesis framework was carried out by SR. The data for the paper was done by HH. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Zhang, Q., Ru, S. & Huang, H. Research on the impact of manufacturing virtual agglomeration on green total factor productivity of enterprises under the Sustainable Development Goals. Environ Sci Pollut Res 31, 5484–5499 (2024). https://doi.org/10.1007/s11356-023-31586-2
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DOI: https://doi.org/10.1007/s11356-023-31586-2
Keywords
- Virtual agglomeration of manufacturing
- Sustainable development
- Green total factor productivity of enterprises
- Nonlinear effects