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Barajei, C, Kusi, E, Ackon, F, Osman, A M, Mohammed, A M Z, Simpeh, F and Gyimah, F (2024) Success factors of the consultant selection stage of the Ghanaian public construction projects: The road sector’s perspective. Construction Economics and Building, 24(01-02), 144-62.
Bello, A O, Abdulraheem, A A, Afolabi, O P, Aka, A and Gbenga, P O (2024) Assessing the underlying factors affecting trust and transparency in the construction industry: A mixed method approach. Construction Economics and Building, 24(01-02), 3-28.
Chiponde, D, Gledson, B and Greenwood, D (2024) The institutional field of learning from project-related failures: opportunities and challenges. Construction Economics and Building, 24(01-02), 163-81.
Debs, L and Hubbard, B (2023) Gathering and disseminating lessons learned in construction companies to support knowledge management. Construction Economics and Building, 23(01-02), 56-76.
Domínguez-Herrera, M M, González-Morales, O and González-Díaz, E (2023) Social responsibility of construction company as strategy for sustainability in island territories. Construction Economics and Building, 23(01-02), 30-55.
Hong, J, Akotia, J and Egbu, C (2024) Virtual reality in construction activities: Barriers for adoption in China. Construction Economics and Building, 24(01-02), 77-93.
Kapogiannis, G, Palaios, P and Sawhney, A (2024) Digital construction led growth asymmetries in Europe: The need for collaborative culture. Construction Economics and Building, 24(01-02), 50-76.
- Type: Journal Article
- Keywords: asymmetries; circular economy; collaborative culture; digital construction; digital economics; gross domestic product; growth; infrastructure
- ISBN/ISSN: 2204-9029
- URL: https://doi.org/10.5130/ajceb.v24i1/2.8866
- Abstract:
This study delves into the exploration of asymmetries in the field of Digital Economics (DE) and specifically, within the digital construction sector, unraveling intricate relationships that guide its evolutionary journey. To unveil the complex relationship between GDP growth rates and Digital Construction (DC) we leverage the Digital Economy and Society Index (DESI), employing a panel dataset encompassing 27 European Union (EU) countries over the period 2017-2022. As a foundational tool for our empirical analysis, we perform Quantile via Moments regression, thus introducing this novel methodology to digital construction research. The findings reveal a consistent and statistically significant positive impact of DC on GDP growth rates, across the entire spectrum of economic conditions, but the effect is more pronounced at the upper quantiles of output. This result implies that stronger economies can use more efficiently the benefits of the Digital Construction compared to the weaker economies, thus signaling the need of the latter for structural reforms, to improve the integration rate of digitalization in the construction sector. The pronounced influence of the Human Capital component of DC underscores the pivotal role of nurturing human skills to effectively integrate digital construction techniques into infrastructure development, within a collaborative culture.
Khan, I H and Munawer, T (2024) A systematic review of economic sustainability of vertical greenery systems for buildings. Construction Economics and Building, 24(01-02), 119-43.
Suriyanon, N, Sutheerawatthana, P, Kaewmoracharoen, M and Klansai, V (2023) The utility and value of contract terms: A case study on interior contractors. Construction Economics and Building, 23(01-02), 77-94.
Uddin, S M J, Albert, A, Pradhananga, N, Ganapati, N E and Prajapati, J (2023) Health and safety challenges among post-disaster reconstruction workers. Construction Economics and Building, 23(01-02), 4-30.
Upadhyaya, D and Malek, M S S (2024) An exploratory factor analysis approach to investigate health and safety factors in Indian construction sector. Construction Economics and Building, 24(01-02), 29-49.
Wood, X, Ghimire, P, Kim, S, Barutha, P and Jeong, H D (2024) Framework for evaluating the success of integrated project delivery in the industrial construction sector: A mixed methods approach & machine learning application. Construction Economics and Building, 24(01-02), 94-118.