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Aibinu, A A, Ling, F Y Y and Ofori, G (2011) Structural equation modelling of organizational justice and cooperative behaviour in the construction project claims process: contractors' perspectives. Construction Management and Economics, 29(05), 463–81.
Alemu, S K (2022) Construction time prediction model for public building projects. Engineering, Construction and Architectural Management, 29(05), 2183-206.
Cole, R J (2001) Lessons learned, future directions and issues for GBC. Building Research & Information, 29(05), 355–73.
Deal, B (2001) Ecological urban dynamics: the convergence of spatial modelling and sustainability. Building Research & Information, 29(05), 381–93.
Elkabalawy, M and Moselhi, O (2022) Optimized resource-constrained method for project schedule compression. Engineering, Construction and Architectural Management, 29(05), 2106-29.
Gambatese, J A and Hallowell, M (2011) Factors that influence the development and diffusion of technical innovations in the construction industry. Construction Management and Economics, 29(05), 507–17.
Garay, A, Ruiz, A and Guevara, J (2022) Dynamic evaluation of thermal comfort scenarios in a Colombian large-scale social housing project. Engineering, Construction and Architectural Management, 29(05), 1909-30.
Gunduz, M and Al-Naimi, N H (2022) Construction projects delay mitigation using integrated balanced scorecard and quality function deployment. Engineering, Construction and Architectural Management, 29(05), 2073-105.
Hon, C K H, Sun, C, Xia, B, Jimmieson, N L, Way, K A and Wu, P P Y (2022) Applications of Bayesian approaches in construction management research: a systematic review. Engineering, Construction and Architectural Management, 29(05), 2153-82.
Hou, W and Wang, L (2022) Research on the refinancing capital structure of highway PPP projects based on dynamic capital demand. Engineering, Construction and Architectural Management, 29(05), 2047-72.
Jarkas, A and Horner, M (2011) Revisiting the applicability of learning curve theory to formwork labour productivity. Construction Management and Economics, 29(05), 483–93.
John, S T, Mohan, A, Philip, M S, Sarkar, P and Davis, R (2022) An IoT device for striking of vertical concrete formwork. Engineering, Construction and Architectural Management, 29(05), 1991-2010.
Kim, Y W, Han, S, Shin, S and Choi, K (2011) A case study of activity‐based costing in allocating rebar fabrication costs to projects. Construction Management and Economics, 29(05), 449–61.
Koc, K and Gurgun, A P (2022) Ambiguity factors in construction contracts entailing conflicts. Engineering, Construction and Architectural Management, 29(05), 1946-64.
Larsson, N K and Cole, R J (2001) Green building challenge: the development of an idea. Building Research & Information, 29(05), 45.
Liou, F m, Yang, C h, Chen, B and Chen, W (2011) Identifying the Pareto‐front approximation for negotiations of BOT contracts with a multi‐objective genetic algorithm. Construction Management and Economics, 29(05), 535–48.
Luo, L, Zhang, L, Zheng, X and Wu, G (2022) A hybrid approach for investigating impacts of leadership dynamics on project performance. Engineering, Construction and Architectural Management, 29(05), 1965-90.
Mackley, C J and Milonas, S (2001) Knowledge transfer and Green Building Challenge. Building Research & Information, 29(05), 54.
Pemsel, S and Widén, K (2011) Bridging boundaries between organizations in construction. Construction Management and Economics, 29(05), 495–506.
Plessis, C d (2001) Sustainability and sustainable construction: the African context. Building Research & Information, 29(05), 374–80.
Rahmani, F, Scott-Young, C, Tadayon, A and van der Walt, J D (2022) Team composition in relational contracting (RC) in large infrastructure projects: a Belbin’s team roles model approach. Engineering, Construction and Architectural Management, 29(05), 2027-46.
Said, H, Mali, A and Deshmukh, A (2022) Identification and assessment of the unionization factors of the US electrical construction trade. Engineering, Construction and Architectural Management, 29(05), 2207-31.
Shah, R K and Dawood, N (2011) An innovative approach for generation of a time location plan in road construction projects. Construction Management and Economics, 29(05), 435–48.
Theaker, I G and Cole, R J (2001) The role of local governments in fostering 'green' buildings: a case study. Building Research & Information, 29(05), 394–408.
Thomas Ng, S, Fan, R Y C and Wong, J M W (2011) An econometric model for forecasting private construction investment in Hong Kong. Construction Management and Economics, 29(05), 519–34.
- Type: Journal Article
- Keywords: private construction investment; vector error correction model; regression analysis; stationarity
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2011.570356
- Abstract:
Acknowledging the importance of the private construction market and a close linkage between private construction investment, public sector output and general economic conditions, there is a strong motivation to develop reliable models to forecast private construction investment. Based on the Hong Kong scenario, two modelling approaches, namely the vector error correction (VEC) and the multiple regression models are developed and compared for their modelling accuracy and ability to handle non?stationary time series data. The result suggests that private construction investment in Hong Kong can be predicted by reference to public investment in construction, gross domestic product (GDP) and unemployment rate. All in all, the VEC model is considered more accurate and robust in handling non?stationary data. Through the VEC model, it is possible to confirm that the crowding?in effect of public work programmes, though minimal, is discernible in private construction investment in Hong Kong. Yet private construction investment is more sensitive to general economic conditions, as represented by GDP and unemployment rate. The GDP could represent the ability of investors to pay for construction items, while the unemployment rate is used as a proxy for the willingness of end?users to purchase the construction items. The models proposed should help policy and decision makers formulate suitable policies and strategies to sustain the construction industry in the medium to long run.
Todd, J A, Crawley, D, Geissler, S and Lindsey, G (2001) Comparative assessment of environmental performance tools and the role of the Green Building Challenge. Building Research & Information, 29(05), 324–35.
Wang, P, Fenn, P, Wang, K and Huang, Y (2022) A Bayesian belief network predictive model for construction delay avoidance in the UK. Engineering, Construction and Architectural Management, 29(05), 2011-26.
Zhang, N, Deng, X, Hwang, B G, Bi, M and Mahmoudi, A (2022) A novel approach to selecting the best partner for high-speed rail firms. Engineering, Construction and Architectural Management, 29(05), 2130-52.