IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i20p8881-d1498114.html
   My bibliography  Save this article

Firm-Level Digitalization for Sustainability Performance: Evidence from Ningbo City of China

Author

Listed:
  • Xuemei Shao

    (College of International Economics & Trade, Ningbo University of Finance and Economics, Ningbo 315175, China)

  • Munir Ahmad

    (College of International Economics & Trade, Ningbo University of Finance and Economics, Ningbo 315175, China
    “Belt and Road” Bulk Commodity Research Center, Ningbo University of Finance and Economics, Ningbo 315175, China)

  • Fahad Javed

    (School of Finance & Economics, Jiangsu University, Zhenjiang 212013, China)

Abstract

Climate change is a significant and urgent threat, gaining traction in the scientific community around the globe and requiring immediate action across many sectors. In this context, the digital economy could provide a mutually beneficial solution by utilizing innovation and technical breakthroughs to establish a sustainable future that addresses environmental deterioration, promotes economic growth, and encourages energy conservation. Against this background, this study examined the diffusion of innovation modeling-based factors affecting small and medium-sized firms’ (SMFs) adoption of the Internet of Things (IoT) technology and its impact on SMFs’ sustainability performance related to environmental, economic, innovation, and energy conservation perspectives. The key findings revealed that (i) the relative advantage, trialability, and observability drive IoT adoption. However, compatibility and complexity hinder IoT adoption. (ii) When prioritizing the adoption factors, the relative benefit is the strongest driver, and compatibility is the most significant barrier to IoT adoption. (iii) IoT technology adopter SMFs spent less on natural resources and more on renewable energy and environmental monitoring systems than non-adopter firms, boosting their environmental sustainability. (iv) IoT technology adopter firms had greater revenue, profits, and credit access than non-adopters and lower input costs, improving their economic sustainability. (v) IoT adopter firms spent more on innovative products than non-adopter enterprises, demonstrating innovation performance. (vi) Compared to non-adopter firms, IoT technology adopter SMFs had lower utility expenses and spent more on energy-efficient technologies. (vii) To realize the full potential of the IoT for a more sustainable and inventive future, authorities may pursue a variety of policy actions involving the strengthening and implementation of IoT technology standards and regulations, securing the incentivization of financial resources to SMFs, diverting the allocation of resources to research and development avenues, prioritizing the capacity development and environmental awareness, and focusing on IoT infrastructure development.

Suggested Citation

  • Xuemei Shao & Munir Ahmad & Fahad Javed, 2024. "Firm-Level Digitalization for Sustainability Performance: Evidence from Ningbo City of China," Sustainability, MDPI, vol. 16(20), pages 1-35, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8881-:d:1498114
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/20/8881/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/20/8881/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diebold, Francis X. & Chen, Celia, 1996. "Testing structural stability with endogenous breakpoint A size comparison of analytic and bootstrap procedures," Journal of Econometrics, Elsevier, vol. 70(1), pages 221-241, January.
    2. Zhang, Xiaoyan & Li, Jinbao & Xiang, Dong & Worthington, Andrew C., 2023. "Digitalization, financial inclusion, and small and medium-sized enterprise financing: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
    3. Wang, Xin & Ma, Chaoqun & Yao, Zheng, 2024. "The double-edged sword effect of digital capability on green innovation: Evidence from Chinese listed industrial firms," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 321-339.
    4. Sharma, Prateek & Shukla, Dhirendra Mani & Raj, Alok, 2023. "Blockchain adoption and firm performance: The contingent roles of intangible capital and environmental dynamism," International Journal of Production Economics, Elsevier, vol. 256(C).
    5. Weck, Marina & Afanassieva, Marianne, 2023. "Toward the adoption of digital assistive technology: Factors affecting older people's initial trust formation," Telecommunications Policy, Elsevier, vol. 47(2).
    6. Ferreira, João J.M. & Fernandes, Cristina I. & Veiga, Pedro Mota, 2024. "The effects of knowledge spillovers, digital capabilities, and innovation on firm performance: A moderated mediation model," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    7. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    8. Blichfeldt, Henrik & Faullant, Rita, 2021. "Performance effects of digital technology adoption and product & service innovation – A process-industry perspective," Technovation, Elsevier, vol. 105(C).
    9. Jaspers, Esther D.T. & Pearson, Erika, 2022. "Consumers’ acceptance of domestic Internet-of-Things: The role of trust and privacy concerns," Journal of Business Research, Elsevier, vol. 142(C), pages 255-265.
    10. Nucci, Francesco & Puccioni, Chiara & Ricchi, Ottavio, 2023. "Digital technologies and productivity: A firm-level investigation," Economic Modelling, Elsevier, vol. 128(C).
    11. Tao Li & Junlin Zhu & Jianqiang Luo & Chaonan Yi & Baoqing Zhu, 2023. "Breaking Triopoly to Achieve Sustainable Smart Digital Infrastructure Based on Open-Source Diffusion Using Government–Platform–User Evolutionary Game," Sustainability, MDPI, vol. 15(19), pages 1-24, October.
    12. Lv, Jiamin & Li, Shi & Zhu, Mengying & Huang, Wenli, 2024. "Can the digital economy development limit the size of the informal economy? A nonlinear analysis based on China's provincial panel data," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 896-921.
    13. Ming-Hui Liao & Chi-Tai Wang, 2021. "Using Enterprise Architecture to Integrate Lean Manufacturing, Digitalization, and Sustainability: A Lean Enterprise Case Study in the Chemical Industry," Sustainability, MDPI, vol. 13(9), pages 1-26, April.
    14. Horowitz, Joel L. & Nesheim, Lars, 2021. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," Journal of Econometrics, Elsevier, vol. 222(1), pages 44-55.
    15. Ahmad, Munir & Khan, Irfan & Shahzad Khan, Muhammad Qaiser & Jabeen, Gul & Jabeen, Hafiza Samra & Işık, Cem, 2023. "Households' perception-based factors influencing biogas adoption: Innovation diffusion framework," Energy, Elsevier, vol. 263(PE).
    16. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmad, Munir & Jabeen, Gul, 2023. "Biogas technology adoption and household welfare perspectives for sustainable development," Energy Policy, Elsevier, vol. 181(C).
    2. Seow Eng Ong & Davin Wang & Calvin Chua, 2023. "Disruptive Innovation and Real Estate Agency: The Disruptee Strikes Back," The Journal of Real Estate Finance and Economics, Springer, vol. 67(2), pages 287-317, August.
    3. Raymundo M. Campos-Vázquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 23-54, November.
    4. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    5. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    6. Jean-Louis Combes & Alexandru Minea & Pegdéwendé Nestor Sawadogo, 2019. "Assessing the effects of combating illicit financial flows on domestic tax revenue mobilization in developing countries," CERDI Working papers halshs-02019073, HAL.
    7. Bernard, Jean-Thomas & Idoudi, Nadhem & Khalaf, Lynda & Yelou, Clement, 2007. "Finite sample multivariate structural change tests with application to energy demand models," Journal of Econometrics, Elsevier, vol. 141(2), pages 1219-1244, December.
    8. Danilo Soares‐Silva & Gustavo Hermínio Salati Marcondes de Moraes & Alexandre Cappellozza & Cristiano Morini, 2020. "Explaining library user loyalty through perceived service quality: What is wrong?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(8), pages 954-967, August.
    9. Morgane Innocent & Agnès François-Lecompte & Nolwenn Roudaut, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Post-Print hal-02450849, HAL.
    10. Jörg Prokop & Dandan Wang, 2022. "Is there a gender gap in equity-based crowdfunding?," Small Business Economics, Springer, vol. 59(3), pages 1219-1244, October.
    11. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    12. Al-Baraa Abdulrahman Al-Mekhlafi & Ahmad Shahrul Nizam Isha & Nicholas Chileshe & Mohammed Abdulrab & Anwar Ameen Hezam Saeed & Ahmed Farouk Kineber, 2021. "Modelling the Relationship between the Nature of Work Factors and Driving Performance Mediating by Role of Fatigue," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    13. Irene Bertschek & Joern Block & Alexander S. Kritikos & Caroline Stiel, 2024. "German financial state aid during Covid-19 pandemic: Higher impact among digitalized self-employed," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 36(1-2), pages 76-97, January.
    14. Febi Jensen & Hans Lööf & Andreas Stephan, 2020. "New ventures in Cleantech: Opportunities, capabilities and innovation outcomes," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 902-917, March.
    15. Jan Fałkowski & Maciej Jakubowski & Paweł Strawiński, 2014. "Returns from income strategies in rural Poland," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 22(1), pages 139-178, January.
    16. Bemile, Esther & Anders, Sven M., 2014. "Linking Diet-Health Behaviour and Obesity using Propensity Score Matching," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182832, European Association of Agricultural Economists.
    17. Nikolova, Milena & Roman, Monica & Zimmermann, Klaus F., 2017. "Left behind but doing good? Civic engagement in two post-socialist countries," Journal of Comparative Economics, Elsevier, vol. 45(3), pages 658-684.
    18. Balima, Wenéyam Hippolyte & Combes, Jean-Louis & Minea, Alexandru, 2017. "Sovereign debt risk in emerging market economies: Does inflation targeting adoption make any difference?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 360-377.
    19. Nketiah, Emmanuel & Song, Huaming & Cai, Xiang & Adjei, Mavis & Adu-Gyamfi, Gibbson & Obuobi, Bright, 2022. "Citizens’ intention to invest in municipal solid waste to energy projects in Ghana: The impact of direct and indirect effects," Energy, Elsevier, vol. 254(PC).
    20. Brunie, Aurélie & Fumagalli, Laura & Martin, Thomas & Field, Samuel & Rutherford, Diana, 2014. "Can village savings and loan groups be a potential tool in the malnutrition fight? Mixed method findings from Mozambique," Children and Youth Services Review, Elsevier, vol. 47(P2), pages 113-120.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8881-:d:1498114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.