Abstract
Engineering technology and logistic performance become key elements of sustainable long-run economic growth and have been explained in endogenous growth theory as a proxy of physical capital. The analysis draws engineering technology and logistic performance data for ten countries. The estimation data is from 2008 to 2020. The empirical analysis involved the estimation of the cointegration test, Dynamic Ordinary Least Square (OLS), and long-run estimation coefficient. The finding showed that the spillover effects of engineering technology indicated the highest effect on long-run economic growth, but the effect of logistic performance could not be denied due to a positive and significant coefficient. Thus, government and policymakers should play a significant role in shaping engineering technology to sustain economic growth.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alias C, Salewski U, Ortiz Ruiz VE, Alarcón Olalla FE, Reymão N, do Egypto J, Noche B. Adapting warehouse management systems to the requirements of the evolving era of industry 4.0. ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers Digital Collection. p. 1–14; 2017.
Anand G, Ward PT. Fit, Flexibility and Performance in Manufacturing: Coping with Dynamic Environments. Production and Operations Management. 13. 4. p. 369–385; 2004.
Barreto, L., Amaral, A., & Pereira, T. (2017) Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245–1252. https://doi.org/10.1016/j.promfg.2017.09.045.
Bhandari, R. (2014) Impact of technology on logistics and supply chain management. IOSR Journal of Business and Management, 2(17), 19–24.
Choy, K. L., Gunasekaran, A., Lam, H. Y., Chow, K. H., Tsim, Y. C., Ng, T. W., ... & Lu, X. A. (2014) Impact of information technology on the performance of logistics industry: the case of Hong Kong and Pearl Delta region. Journal of the operational research society, 65(6), 904–916. https://doi.org/10.1057/jors.2013.121.
Dallasega P, Rauch E, Linder C. 2018. Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review. Computers in Industry. 99. p. 205–225; 2018.
Dallasega P, Rojas RA, Bruno G, Rauch E. An agile scheduling and control approach in ETO construction supply chains. Computers in Industry. 112. p. 103122; 2019.
Doh SW, Deschamps F, Lima EP. Systems Integration in the Lean Manufacturing Systems Value Chain to Meet Industry 4.0 Requirements. ISPE TE. p. 642–650; 2016.
Freidman, O. A., & Malanina, Y. N. (2019, May). Logistics technologies in mechanical engineering complex: the prospects for outsourcing applying. In IOP Conference Series: Materials Science and Engineering (Vol. 537, No. 4, p. 042069). IOP Publishing.
Kayikci, Y. (2018) Sustainability impact of digitization in logistics. Procedia Manufacturing, 21, 782–789. https://doi.org/10.1016/j.promfg.2018.02.184.
Kovács G, Kot S. New logistics and production trends as the effect of global economy changes. Polish Journal of Management Studies. 14. 2. p. 115–126; 2016.
Lin, H. W., Nagalingam, S. V., Kuik, S. S., & Murata, T. (2012). Design of a global decision support system for a manufacturing SME: Towards participating in collaborative manufacturing. International Journal of Production Economics, 136(1), 1–12.
Nordin, N., Nordin, N., Nordin, N.I.A., Nordin, N.F. (2023). The Role of Logistic Performance on Foreign Direct Investment-Growth Link: Evidence from Asian Countries. In: Alareeni, B., Hamdan, A. (eds) Impact of Artificial Intelligence, and the Fourth Industrial Revolution on Business Success. ICBT 2021. Lecture Notes in Networks and Systems, vol 485. Springer.
Oleśków-Szłapka, J., & Stachowiak, A. (2018) The framework of logistics 4.0 maturity model. In: International Conference on Intelligent Systems in Production Engineering and Maintenance, 771–781. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_73.
Palei, T. (2015). Assessing the impact of infrastructure on economic growth and global competitiveness. Procedia Economics and Finance, 23, 168–175.
Dodds, R., & Venables, R. (2005). Engineering for Sustainable Development’. Guiding Principles (London: Royal Academy of Engineering).
Brambor, T., Clark, W. R., & Golder, M. (2006). Understanding interaction models: Improving empirical analyses. Political analysis, 14(1), 63–82.
Stock, J. H., & Watson, M. W. (1993). A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica: journal of the Econometric Society, 783–820.
Kao, C., Chiang, M. H., & Chen, B. (1999). International R&D spillovers: an application of estimation and inference in panel cointegration. Oxford Bulletin of Economics and statistics, 61(S1), 691–709.
Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and statistics, 61(S1), 653–670.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nordin, N.N., Nordin, N.H., Nordin, N.I.A., Nordin, N.F., Zainudin, N. (2023). Role of Engineering Technology on Logistic Performance in Promoting Economic Growth in Asian Countries. In: Yusoff, M.N.H. (eds) Industry Forward and Technology Transformation in Business and Entrepreneurship. InCEBT 2022. Springer, Singapore. https://doi.org/10.1007/978-981-99-2337-3_56
Download citation
DOI: https://doi.org/10.1007/978-981-99-2337-3_56
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-2336-6
Online ISBN: 978-981-99-2337-3
eBook Packages: Business and ManagementBusiness and Management (R0)