caa a22 4500 606169873 CHVBK 20210128100714.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s10098-014-0859-8 doi (NATIONALLICENCE)springer-10.1007/s10098-014-0859-8 Design of effective subsidy policy to develop green buildings: from the perspective of policy benefit [Elektronische Daten] [Weidong Chen, Xueying Hong] In order to promote the development of Green Building Market without bringing heavy financial burden to the government, this paper studies the optimal subsidy problem in Green Building Market from the perspective of policy benefit, in which the government and the end-user are the principals and the developer is their agent. Optimal subsidy principal-agent models under conditions of asymmetric information and complete information are established, and equivalent models are presented to get the optimal solutions. The results show that from the perspective of policy benefits, subsidy policy is influenced by construction costs, transfer paid by the end-user and developer's preference toward green buildings. Furthermore, comparisons of models under two conditions demonstrate that eliminating asymmetric information can contribute to more green building areas and fewer unit subsidies. Finally, a numerical example is presented to show the effectiveness of the model. Springer-Verlag Berlin Heidelberg, 2014 Green buildings nationallicence Subsidy policy nationallicence Policy benefit nationallicence Asymmetric information nationallicence Principal-agent model nationallicence Chen Weidong College of Management and Economics, Tianjin University, 300072, Tianjin, People's Republic of China aut Hong Xueying College of Management and Economics, Tianjin University, 300072, Tianjin, People's Republic of China aut Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/4(2015-04-01), 1029-1038 1618-954X 17:4<1029 2015 17 10098 https://doi.org/10.1007/s10098-014-0859-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10098-014-0859-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Weidong College of Management and Economics, Tianjin University, 300072, Tianjin, People's Republic of China aut NATIONALLICENCE 700 1- Hong Xueying College of Management and Economics, Tianjin University, 300072, Tianjin, People's Republic of China aut NATIONALLICENCE 773 0- Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/4(2015-04-01), 1029-1038 1618-954X 17:4<1029 2015 17 10098