Exploratory Factors Influencing Building Development Costs in New Zealand
Abstract
:1. Introduction
2. A Brief Literature Review
3. Selection of Key Factors and Rationalization
4. Research Model Development and Conceptual Framework
5. Methodology of Study
6. Analytical Approach: The Application of SEM
7. Reliability of Constructs
8. Analysis of the Structural Equation Model
9. Hypothesis Testing
10. Discussion of Results
11. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
Abbreviations
MDPI | Multidisciplinary Digital Publishing Institute |
SEM | Structural Equation Modeling |
NZ | New Zealand |
NZIA | New Zealand Institute of Architects |
NZIQS | New Zealand Institute of Quantity Surveyors |
NZIOB | New Zealand Institute of Building |
ACENZ | Association of Consulting Engineers of New Zealand |
PINZ | Property Institute New Zealand |
PCNZ | Property Council New Zealand |
PCC | Project Component Costs |
PCF | Project Characteristics Factor |
PSI | Project Stakeholders Influences Factor |
PMCI | Property Market and Construction Industry Factor |
SRF | Statutory and Regulatory Factor |
NGD | National and Global Dynamics |
SEF | Social Economic Indicators |
GFI | Goodness of Fit Indices |
df | Degree of Freedom |
IFI | Incremental Fit Index |
CFI | Comparative Fit Index |
NFI | Normed Fit Index |
PGFI | Parsimony Goodness of Fit |
TLI | Tucker–Lewis Index |
RMSEA | Root Mean Square Error of Approximation |
References
- New Zealand Statistics (NZS). Global New Zealand International Trade, Investment, and Travel Profile; New Zealand Foreign Affairs and Trade: Wellington, New Zealand, 2013.
- PWC. Valuing the Role of Construction in the New Zealand Economy, An Economic Analysis of Construction Sector; Construction Strategy Group (CSG): Auckland, New Zealand, 2011. [Google Scholar]
- Boymal, J.; Silva, A.; Pomeroy, J. Quantity and quality estimates of changes in dwelling affordability in metropolitan Melbourne. Australas. J. Reg. Stud. 2013, 19, 64–84. [Google Scholar]
- Helm, A. Auckland House Prices Continue Their Relentless Rise; The National Business Review: Auckland, New Zealand, 2014. [Google Scholar]
- Delmendo, C. House Price Rises Accelerating in Australia; Global Property Guide (GPG): Bristol, UK, 2014. [Google Scholar]
- Government Procurement Branch. Total Cost of Ownership; Ministry of Business, Innovation and Employment (MBIE): Wellington, New Zealand, 2013.
- Cement and Concrete Association of New Zealand (CCANZ). Material Cost Report; CCANZ: Wellington, New Zealand, 2013. [Google Scholar]
- Johnson, C.; Adelekan, I.; Bosher, L.; Jabeen, H.; Kataria, S.; Marome, A.W.; Zerjav, B.; Arefian, F. Private Sector Investment Decisions in Building and Construction: Increasing, Managing and Transferring Risks; The UNISDR 2013 Global Assessment Report; UNISDR: Geneva, Switzerland, 2013. [Google Scholar]
- Grimsey, D.; Lewis, M. Are Public Private Partnerships Value for Money? Evaluating Alternative Approaches and Comparing Academic and Practitioner Views. Account. Forum 2005, 4, 345–378. [Google Scholar] [CrossRef]
- Bubshait, A.A.; Al-Juwairah, Y.A. Factors Contributing to Construction Costs in Saudi Arabia. Cost Eng. 2002, 44, 30–34. [Google Scholar]
- Chan, S.L.; Park, M. Project Cost Estimation Using Principal Component Regression. Constr. Manag. Econ. 2005, 23, 295–304. [Google Scholar] [CrossRef]
- Elhag, T.M.S.; Boussabaine, A.H.; Ballal, T.M.A. Critical Determinants of construction tendering costs: Quantity Surveyor’s standpoint. Int. J. Proj. Manag. 2005, 23, 535–545. [Google Scholar] [CrossRef]
- Bari, N.A.A.; Yusuff, R.; Ismail, N.; Jaapar, A.; Ahmad, N. Factors influencing the Construction Cost of Industrialised Building System projects. Procdia Soc. Behav. Sci. 2012, 35, 689–696. [Google Scholar] [CrossRef]
- Ive, G.J.; Gruneberg, S.L. The Economics of the Modern Construction Sector; Palgrave Macmillan: London, UK, 2000. [Google Scholar]
- Hwang, S. Dynamic Regression Models for Prediction of Construction Costs. J. Constr. Eng. Manag. 2009, 135, 360–367. [Google Scholar] [CrossRef]
- American Institute of Steel Construction (AISC). Understanding the Supply Chain; AISC: Chicago, IL, USA, 2014. [Google Scholar]
- Son, H.; Kim, C. Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables. Autom. Constr. 2012, 27, 60–66. [Google Scholar] [CrossRef]
- Organisation for Economic Co-operation and Development (OECD). Handbook on Constructing Composite Indicators: Methodology and User Guide; OECD: Paris, France, 2008. [Google Scholar]
- Knight, K.; Fayek, A.R. Use of Fuzzy Logic for Predicting Design Cost Overruns on Building Projects. J. Constr. Eng. Manag. 2002, 128, 503–512. [Google Scholar] [CrossRef]
- Crompton, J.L.; Howard, D.R. Costs: The Rest of the Economic Impact Story. J. Sport Manag. 2013, 27, 379–392. [Google Scholar] [CrossRef]
- Griffis, F.H.; Choi, H. Design of public projects: Outsource or in-house? J. Manag. Eng. 2013, 29, 2–9. [Google Scholar] [CrossRef]
- Ng, S.T.; Cheung, S.O.; Skitmore, R.M.; Lam, K.C.; Wong, L.Y. Prediction of tender price index directional changes. Constr. Manag. Econ. 2000, 18, 843–852. [Google Scholar]
- Harbuck, R.H. Competitive bidding for highway construction projects. AACE Int. 2004, EST.09, 1–3. [Google Scholar]
- Cho, C.S.; Gibson, E.G. Building project scope definition using project definition rating index. J. Archit. Eng. 2001, 7, 115–125. [Google Scholar] [CrossRef]
- Love, P.E.D.; Tse, R.Y.C.; Edwards, D.J. Time-cost relationships in Australian building construction projects. J. Constr. Eng. Manag. 2005, 131, 187–194. [Google Scholar] [CrossRef]
- Qureshi, S.M.; Kang, C.W. Analyzing the organizational factors of project complexity using structural equation modeling. Int. J. Proj. Manag. 2015, 33, 165–176. [Google Scholar] [CrossRef]
- Iyer, K.C.; Jha, K.N. Factors Affecting Cost Performance: Evidence from Indian Construction Projects. Int. J. Proj. Manag. 2004, 23, 283–295. [Google Scholar] [CrossRef]
- Cheeks, J.R. Multistep disputes resolution in design and construction industry. J. Prof. Issues Eng. Educ. Pract. 2003, 129, 84–91. [Google Scholar] [CrossRef]
- Winch, G.M. Managing Construction Projects: An Information Processing Approach, 2nd ed.; Wiley-Blackwell: West Sussex, UK, 2010. [Google Scholar]
- Memon, A.H.; Rahman, I.A.; Abdullah, M.R. Factors Affecting Construction Cost in Mara Large Construction Project: Perspective of Project Management Consultant. Int. J. Sustain. Constr. Eng. Technol. 2010, 1, 41–54. [Google Scholar]
- Chinyio, E.; Olomolaiye, P. Construction Stakeholder Management; John Wiley and Sons Ltd.: Chichester, UK, 2010. [Google Scholar]
- Watson, E. A Closer Look at Some of the Supply and Demand Factors Influencing Residential Property Markets; Reserve Bank of New Zealand: Wellington, New Zealand, 2013.
- Grimes, A.; Hyland, S. Housing Market Dynamics and the GFC: The Complex Dynamics of a Credit Shock; Motu Economic and Public Policy Research: Wellington, New Zealand, 2013. [Google Scholar]
- Shane, J.S.; Molenaar, K.R.; Anderson, S.; Schexnayder, C. Construction project cost escalation factors. J. Manag. Eng. 2009, 25, 221–229. [Google Scholar] [CrossRef]
- Vaughan, G. A Range of Challenges Facing the Construction Industry Will Limit High Density Building and Intensification in Auckland; Reserve Bank of New Zealand: Wellington, New Zealand, 2016.
- Ball, M. Markets and Institutions in Real Estate and Construction; Blackwell Publishing Ltd.: Oxford, UK, 2006. [Google Scholar]
- Toh, T.C.; Ting, C.; Ali, K.N.; Aliagha, G.U.; Munir, O. Critical Cost Factors of Building Construction Projects in Malaysia. In Proceedings of the International Conference on Asia Pacific Business Innovation and Technology Management, Pattaya, Thailand, 13–15 January 2012. [Google Scholar]
- Gundes, S. Exploring the dynamics of the Turkish construction industry using input-output analysis. Constr. Manag. Econ. 2011, 29, 59–68. [Google Scholar] [CrossRef]
- Vincent, J.M.; Monkkonen, P. The impact of state regulations on the costs of public school construction. J. Educ. Financ. 2010, 35, 313–330. [Google Scholar] [CrossRef]
- Lyons, R.C. Housing supply in Ireland since 1990: The role of costs and regulation. J. Stat. Soc. Inq. Soc. Irel. 2014, 141. [Google Scholar]
- Mumford, P.J. Enhancing Performance-Based Regulation: Lessons from New Zealand’s Building Control System; Wellington, N.Z., Ed.; Institute of Policy Studies: Singapore, 2011. [Google Scholar]
- Stephan, A.; Crawford, R.H. The relationship between house size and life cycle energy demand: Implications for energy efficiency regulations for buildings. Energy 2016, 116, 1158–1171. [Google Scholar] [CrossRef]
- Titaya, S. Analyze on effect and building regulation in northern thailand’s earthquake, May 2014: Chiangmai’s residents risk perception and response to earthquake. Procedia Soc. Behav. Sci. 2016, 218, 85–94. [Google Scholar] [CrossRef]
- New Zealand Institute of Economic Research (NZIER). The Home Affordability Challenge; NZIER: Wellington, New Zealand, 2014. [Google Scholar]
- García, M.Á. Challenges of the construction sector in the global economy and the knowledge society. Int. J. Strateg. Prop. Manag. 2005, 9, 65–77. [Google Scholar]
- Donaubauer, J.; Meyer, B.E.; Nunnenkamp, P. A new global index of infrastructure: Construction, rankings and applications. World Econ. 2016, 2, 236–259. [Google Scholar] [CrossRef]
- Richardson, A. Can Global Economic Conditions Explain Low New Zealand Inflation; Reserve Bank of New Zealand: Wellington, New Zealand, 2015.
- Akanni, P.O.; Oke, A.E.; Akpomiemie, O.A. Impact of environmental factors on building project performance in Delta State, Nigeria. Hous. Build. Natl. Res. Cent. 2014, 11, 91–97. [Google Scholar] [CrossRef]
- Wright, J.N. Time and budget: The twin imperatives of a project sponsor. Int. J. Proj. Manag. 1997, 15, 181–186. [Google Scholar] [CrossRef]
- Naoum, S. An overview into the concept of partnering. Int. J. Proj. Manag. 2003, 21, 71–76. [Google Scholar] [CrossRef]
- Chang, A.S.T. Reasons for cost and schedule increase for engineering design projects. J. Manag. Eng. 2002, 18, 29–36. [Google Scholar] [CrossRef]
- Akintoye, A. Analysis of factors influencing project cost estimating practice. Constr. Manag. Econ. 2000, 18, 77–89. [Google Scholar] [CrossRef]
- Mayer, C.J.; Somerville, C.T. Land use regulation and new construction. Reg. Sci. Urban Econ. 2000, 30, 639–662. [Google Scholar] [CrossRef]
- Myers, D. Construction Economics: A New Approach; Routledge: Abingdon, UK, 2013. [Google Scholar]
- Cesa-Bianchi, A. Housing cycles and macroeconomic fluctuations: A global perspective. J. Int. Money Financ. 2013, 37, 215–238. [Google Scholar] [CrossRef]
- Alagidede, P. On the temporary and permanent components of global construction. Appl. Econ. Lett. 2016, 23, 284–289. [Google Scholar] [CrossRef]
- Xu, M.; Grant-Muller, S.; Gao, Z.Y. Evolution and assessment of economic regulatory policies for expressway infrastructure in China. Transp. Policy 2015, 41, 42–49. [Google Scholar] [CrossRef]
- Kosla, M.T. More than members: Market revitalization in the building trades. Crit. Soc. 2015, 41, 735–756. [Google Scholar] [CrossRef]
- Kaklauskas, A.; Kelpsiene, L.; Zavadskas, E.K.; Bardauskiene, D.; Kaklauskas, G.; Urbonas, M.; Sorakas, V. Crisis management in construction and real estate: Conceptual modeling at the Micro-, Meso- and Macro-levels. Land Use Policy 2011, 28, 280–293. [Google Scholar] [CrossRef]
- Balló, Z. Dwellings and housing market in Hungary, 1990–2015. Procedia Eng. 2016, 161, 2079–2087. [Google Scholar] [CrossRef]
- Wier, M. An environmental macro-economic model for the construction sector. Environ. Resour. Econ. 2000, 25, 323–341. [Google Scholar] [CrossRef]
- Akintoye, A.; Bowen, P.; Hardcastle, C. Macro-economic leading indicators of construction contract prices. Constr. Manag. Econ. 1998, 16, 159–175. [Google Scholar] [CrossRef]
- Hox, J.J.; Bechger, T.M. An introduction to structural equation modeling. Fam. Sci. Rev. 1998, 11, 354–373. [Google Scholar]
- Byrne, B.M. Structural Equation Modeling with AMOS Basic Concepts, Applications, and Programming, 3rd ed.; Routledge: Abingdon, UK, 2016. [Google Scholar]
- Yang, J.B.; Ou, S.F. Using structural equation modeling to analyze relationships among key causes of delay in construction. Can. J. Civ. Eng. 2008, 35, 321–332. [Google Scholar] [CrossRef]
- Islam, M.D.M.; Faniran, O.O. Structural equation model of project planning effectiveness. Constr. Manag. Econ. 2005, 23, 215–223. [Google Scholar] [CrossRef]
- Pallant, J. SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS; Allen and Unwin: Crows Nest, Australia, 2013. [Google Scholar]
- Hair, J.; Black, W.C.; Babin, B.J.; Anderson, R.E. Multivariate Data Analysis; Pearson Education International: Upper Saddle River, NJ, USA, 2010. [Google Scholar]
- Tabachnick, B.G.; Fidell, L.S. Using Multivariate Statistics; Allyn and Bacon: Needham Heights, MA, USA, 2001. [Google Scholar]
- Fan, X.; Thompson, B.; Wang, L. Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Struct. Equ. Model. 1999, 9, 56–83. [Google Scholar] [CrossRef]
- Bollen, K.A. Structural Equations with Latent Variables; Wiley: New York, NY, USA, 1989. [Google Scholar]
- Byrne, B.M. Structural Equation Modeling With Eqs and Eqs/Windows; Sage Publications: Thousand Oaks, CA, USA, 1994. [Google Scholar]
- Bentler, P.M.; Bonett, D.G. Significant tests and goodness of fit in the analysis of covariance structures. Psychol. Bull. 1980, 88, 588–606. [Google Scholar] [CrossRef]
- Williams, L.J.; Holahan, P.J. Parsimony-based fit indices for multiple-indicator models: Do they work? Struct. Equ. Model. 1994, 1, 161–189. [Google Scholar] [CrossRef]
- Hoyle, R.H. Structural Equation Modeling: Concepts, Issues, and Applications; Sage: Thousand Oaks, CA, USA, 1995. [Google Scholar]
- MacCallum, R.C.; Austin, J.T. Applications of structural equation modeling in psychological research. Annu. Rev. Psychol. 2000, 51, 201–226. [Google Scholar] [CrossRef] [PubMed]
- Chiang, Y.H.; Tang, B.S.; Leung, W.Y. Market structure of the construction industry in Hong Kong. Constr. Manag. Econ. 2001, 19, 675–687. [Google Scholar] [CrossRef]
- Parke, W.; Warren, A. The Effects of Boom Bust on National Construction Industry Performance; Ministry for Business, Innovation and Employment (MBIE): Wellington, New Zealand, 2014.
- Schill, M.H. Regulations and housing development: What we know. J. Policy Dev. Res. 2005, 8, 5–19. [Google Scholar]
- Roberti, J.R. Trends in New Residential Construction in Auckland; Building Research Association New Zealand (BRANZ): Porirua, New Zealand, 2014. [Google Scholar]
- Page, I.C. New House Price Modeling Study Report; Building Research Association New Zealand (BRANZ): Porirua, New Zealand, 2008. [Google Scholar]
- Adams, Z.; Füss, R. Macroeconomic determinants of international housing markets. J. Hous. Econ. 2009, 19, 38–50. [Google Scholar] [CrossRef]
- Wong, J.M.W.; Ng, S.T. Forecasting construction tender price index in Hong Kong using vector error correction model. Constr. Manag. Econ. 2010, 28, 1255–1268. [Google Scholar] [CrossRef]
- Forni, M.; Gambetti, L. The dynamic effects of monetary policy: A structural factor model approach. J. Monet. Econ. 2009, 57, 203–216. [Google Scholar] [CrossRef]
- Bygballe, L.E.; Hakansson, H.; Jahre, M. A critical discussion of models for conceptualizing the economic logic of construction. Constr. Manag. Econ. 2013, 31, 104–118. [Google Scholar] [CrossRef]
- Dlamini, S. Relationship of construction sector to economic growth. In Proceedings of the International Congress on Construction Management, Montreal, QC, Canada, 26–29 June 2012. [Google Scholar]
- Squicciarini, M.; Asikainen, A.L. A value chain statistical definition of construction and the performance of the sector. Constr. Manag. Econ. 2011, 29, 671–693. [Google Scholar] [CrossRef]
- Olander, S.; Landin, A. Evaluation of stakeholder influence in the implementation of construction projects. Int. J. Proj. Manag. 2005, 23, 321–328. [Google Scholar] [CrossRef]
Factors | Indicators | Source Reference |
---|---|---|
Project Component Costs Factor (PCC) | Design Costs (PCC1) | [20,21] |
Construction Costs (PCC2) | ||
Procurement Costs (PCC3) | ||
Project Characteristics Factor (PCF) | Project Location (PCF1) | [23,25,26] |
Complexity (PCF2) | ||
Procedures Methods (PCF3) | ||
Contract Types (PCF4) | ||
Tech Innovations (PCF5) | ||
Project Stakeholders Influences Factor (PSI) | Clients (PSI1) | [22,27,49,50] |
Consultants (PSI2) | ||
Contractors (PSI3) | ||
Suppliers (PSI4) | ||
Building Officials (PSI5) | ||
Property Market and Construction Industry Factor (PMCI) | Material Market (PMCI1) | [33,34,51,52] |
Labor Market (PMCI2) | ||
Level of Competition (PMCI3) | ||
Market Structure and Size (PMCI4) | ||
Boom and Bust Cycle (PMCI5) | ||
Supply and Demand (PMCI6) | ||
Investment Tendency (PMCI7) | ||
House R/S Prices (PMCI8) | ||
Statutory Regulatory Factor (SRF) | Building Code and Compliance (SRF1) | [38,39,40,41,42,43,53,54] |
Health and Safety Regulations (SRF2) | ||
Political Policies (SRF3) | ||
Financial Regulations (SRF4) | ||
Construction Contract Act (SRF5) | ||
National and Global Dynamics (NGD) | Global Political Dynamics (NGD1) | [44,45,46,51,55,56] |
Natural Forces (NGD2) | ||
Global Economic Trend (NGD3) | ||
Global Business Sentiments (NGD4) | ||
Socio Economic Factor (SEF) | Gross Domestic Production (SEF1) | [54,57,58,59,60,61,62] |
Capital Goods Prices (SEF2) | ||
Customer Price Index (SEF3) | ||
Producer Price (SEF4) | ||
Construction Productivity (SEF5) | ||
Labor Cost (SEF6) | ||
Net Migration (SEF7) | ||
Employment Rate (SEF8) | ||
House Prices (SEF9) | ||
Building Consents (SEF10) | ||
Energy Prices (SEF11) | ||
Exchange Rate (SEF12) | ||
Monetary Policy (SEF13) | ||
Investor Confidence (SEF14) | ||
Fiscal Polices (SEF15) |
Latent Constructs | Indicators | Factor Loading | Cronbach’s Alpha |
---|---|---|---|
Project Component Costs Factor (PCC) | Design Costs (PCC1) | 0.582 | 0.957 |
Construction Costs (PCC2) | 0.642 | ||
Procurement Costs (PCC3) | 0.577 | ||
Project Characteristics Factor (PCF) | Project Location (PCF1) | 0.748 | 0.871 |
Complexity (PCF2) | 0.62 | ||
Procedures Methods (PCF3) | 0.71 | ||
Contract Types (PCF4) | 0.869 | ||
Tech Innovations (PCF5) | 0.786 | ||
Project Stakeholders Influences Factor (PSI) | Clients (PSI1) | 0776 | 0.902 |
Consultants (PSI2) | 0.813 | ||
Contractors (PSI3) | 0.899 | ||
Suppliers (PSI4) | 0.655 | ||
Building Officials (PSI5) | 0.492 | ||
Property Market and Construction Industry Factor (PMCI) | Material Market (PMCI1) | 0.516 | 0.921 |
Labor Market (PMCI2) | 0.556 | ||
Level of Competition (PMCI3) | 0.69 | ||
Market Structure and Size (PMCI4) | 0.469 | ||
Boom and Bust Cycle (PMCI5) | 0.498 | ||
Supply and Demand (PMCI6) | 0.691 | ||
Investment Tendency (PMCI7) | 0.684 | ||
House R/S Prices (PMCI8) | 0.641 | ||
Statutory Regulatory Factor (SRF) | Building Code and Compliance (SRF1) | 0.708 | 0.919 |
Health and Safety Regulations (SRF2) | 0.816 | ||
Political Policies (SRF3) | 0.661 | ||
Financial Regulations (SRF4) | 0.695 | ||
Construction Contract Act (SRF5) | 0.529 | ||
National and Global Dynamics (NGD) | Global Political Dynamics (NGD1) | 0.567 | 0.895 |
Natural Forces (NGD2) | 0.822 | ||
Global Economic Trend (NGD3) | 0.696 | ||
Global Business Sentiments (NGD4) | 0.451 | ||
Socio Economic Factor (SEF) | Gross Domestic Production (SEF1) | 0.472 | 0.88 |
Capital Goods Prices (SEF2) | 0.67 | ||
Customer Price Index (SEF3) | 0.721 | ||
Producer Price (SEF4) | 0.637 | ||
Construction Productivity (SEF5) | 0.651 | ||
Labor Cost (SEF6) | 0.536 | ||
Net Migration (SEF7) | 0.617 | ||
Employment Rate (SEF8) | 0.452 | ||
House Prices (SEF9) | 0.656 | ||
Building Consents (SEF10) | 0.744 | ||
Energy Prices (SEF11) | 0.574 | ||
Exchange Rate (SEF12) | 0.732 | ||
Monetary Policies (SEF13) | 0.528 | ||
Investor Confidence (SEF14) | 0.807 | ||
Fiscal Policies (SEF15) | 0.684 |
Goodness of Fit Indices | Recommended Level | Structural Model |
---|---|---|
Chi-square/df | <2 Tabachnick and Fidell [69] | 1.009 |
Goodness of Fit Index (GFI) | >0.95 Fan et al. [70] | 0.961 |
Incremental Fit Index (IFI) | >0.9 Bollen [71] | 0.947 |
Comparative Fit Index (CFI) | >0.93 Byrne [72] | 0.983 |
Normed Fit Index (NFI) | >0.9 Bentler and Bonett [73] | 0.922 |
Parsimony Goodness of fit (PGFI) | >0.6 Williams and Holahan [74] | 0.875 |
Tucker–Lewis Index (TLI) | >0.9 Hoyle [75] | 0.979 |
Root Mean Square Error of Approximation (RMSEA) | <0.05 MacCallum and Austin [76] | 0.001 |
Hypothesis | Std Estimate | S.E. | C.R. | p | Hypothesis Accepted |
---|---|---|---|---|---|
H1 | 0.145 | 0.076 | 1.892 | 0.058 | No |
H2 | 0.119 | 0.071 | 1.66 | 0.097 | No |
H3 | 0.137 | 0.076 | 1.806 | 0.071 | No |
H4 | 0.226 | 0.09 | 2.51 | 0.023 | Yes |
H5 | 0.121 | 0.065 | 1.867 | 0.062 | No |
H6 | 0.214 | 0.096 | 2.23 | 0.029 | Yes |
H7 | 0.175 | 0.085 | 2.07 | 0.035 | Yes |
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Share and Cite
Zhao, L.; Mbachu, J.; Domingo, N. Exploratory Factors Influencing Building Development Costs in New Zealand. Buildings 2017, 7, 57. https://doi.org/10.3390/buildings7030057
Zhao L, Mbachu J, Domingo N. Exploratory Factors Influencing Building Development Costs in New Zealand. Buildings. 2017; 7(3):57. https://doi.org/10.3390/buildings7030057
Chicago/Turabian StyleZhao, Linlin, Jasper Mbachu, and Niluka Domingo. 2017. "Exploratory Factors Influencing Building Development Costs in New Zealand" Buildings 7, no. 3: 57. https://doi.org/10.3390/buildings7030057
APA StyleZhao, L., Mbachu, J., & Domingo, N. (2017). Exploratory Factors Influencing Building Development Costs in New Zealand. Buildings, 7(3), 57. https://doi.org/10.3390/buildings7030057