TY - JOUR
T1 - Green building incentive model during design recognition to ensure the reliability of green building operation and maintenance achievement
AU - Berawi, Mohammed Ali
AU - Basten, Van
AU - Latief, Yusuf
AU - Crévits, Igor
N1 - Funding Information:
The authors would like to thank and acknowledge Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, and Institut Sains dan Teknologi Pradita for generous support and encouragement of this research especially for the networking to green building colleagues. The authors also wish to acknowledge research grant from Indonesian Ministry of Research, Technology, and Higher Education, and Universitas Indonesia. Besides that, we thank to all the organizations and individuals who kindly participated in the research. Their time and input in the interview and survey are much appreciated.
Publisher Copyright:
© 2020 Published under licence by IOP Publishing Ltd.
PY - 2020/3/12
Y1 - 2020/3/12
N2 - A low number in green building development cause the building construction will have an immense direct and indirect impact on future generations. This paper identified the optimum incentive model driving the building efficiency achievement in green building operation and maintenance. Critical factors that influence building consultant and contractor decision in green building design and construction toward the operation and maintenance achievement planned were analysed using partial least square structural equation modelling (PLS-SEM) methods. Precisely, the study modelled the regional policy affecting building efficiency achievement in the developing country. This research already identified the way of green building stakeholders' operations and maintenance in the capital city of Indonesia. Quantitative method using case study analysis already validated for the questionnaire data. The PLS-SEM indicated that sustainable in green building implementation and sustainability has significant causal effects on the regional policy of building the life cycle. Among these factors, tax exemption, expedited permit, and floor to area ratio were significant. The regional policy indicators in green building implementation have the most significant effect on building efficiency achievement.
AB - A low number in green building development cause the building construction will have an immense direct and indirect impact on future generations. This paper identified the optimum incentive model driving the building efficiency achievement in green building operation and maintenance. Critical factors that influence building consultant and contractor decision in green building design and construction toward the operation and maintenance achievement planned were analysed using partial least square structural equation modelling (PLS-SEM) methods. Precisely, the study modelled the regional policy affecting building efficiency achievement in the developing country. This research already identified the way of green building stakeholders' operations and maintenance in the capital city of Indonesia. Quantitative method using case study analysis already validated for the questionnaire data. The PLS-SEM indicated that sustainable in green building implementation and sustainability has significant causal effects on the regional policy of building the life cycle. Among these factors, tax exemption, expedited permit, and floor to area ratio were significant. The regional policy indicators in green building implementation have the most significant effect on building efficiency achievement.
KW - Building Efficiency
KW - Green Building
KW - Incentive
UR - http://www.scopus.com/inward/record.url?scp=85082604724&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/426/1/012020
DO - 10.1088/1755-1315/426/1/012020
M3 - Conference article
AN - SCOPUS:85082604724
SN - 1755-1307
VL - 426
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012020
T2 - 3rd International Conference on Eco Engineering Development, ICEED 2019
Y2 - 13 November 2019 through 14 November 2019
ER -