Exploring business models for carbon emission reduction via post-consumer recycling infrastructures in Beijing: An agent-based modelling approach

被引:29
作者
Tong, Xin [1 ]
Yu, Haofan [1 ]
Han, Ling [2 ]
Liu, Tao [1 ]
Dong, Liang [3 ,4 ,5 ,6 ]
Zisopoulos, Filippos [7 ,8 ]
Steuer, Benjamin [9 ]
de Jong, Martin [7 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China
[2] Peking Univ, Coll Environm Sci & Engn, Beijing, Peoples R China
[3] City Univ Hong Kong, Dept Publ Policy POL, Hong Kong 999077, Peoples R China
[4] City Univ Hong Kong, Sch Energy & Environm SEE, Hong Kong 999077, Peoples R China
[5] City Univ Hong Kong, Ctr Publ Affairs & Law, Sustainable Dev Lab, Hong Kong 999077, Peoples R China
[6] City Univ Hong Kong, Shenzhen Res Inst SRI, 8 Yuexing 1st Rd High tech Zone, Shenzhen 518057, Peoples R China
[7] Erasmus Univ, Rotterdam Sch Management, Rotterdam, Netherlands
[8] Delft Univ Technol, Fac Civil Engn & Geosci, Dept Mat Mech Management & Design 3Md, Sect Infrastruct Design & Management, Delft, Netherlands
[9] Hong Kong Univ Sci & Technol, Hong Kong, Peoples R China
基金
中国国家自然科学基金; 荷兰研究理事会;
关键词
Recycling; Low carbon infrastructure; Theory of planned behavior; Post -consumer recycling; Agent -based model; WASTE CLASSIFICATION; PLANNED BEHAVIOR; SOCIAL NORMS; INTENTION; CONTEXT; DETERMINANTS; SYSTEM;
D O I
10.1016/j.resconrec.2022.106666
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The potential for carbon emissions avoidance through post-consumer recycling has been highlighted in the "Zero -Waste City " initiatives in China, which call for increasing household participation in the community recycling programs. A shift from a facility-oriented strategy to behavior-oriented norm building at the community level provides the local niches for emerging business models in post-consumer recycling. This paper proposes a framework based on the Theory of Planned Behavior to simulate the impact on the participation rate of households in community-based recycling program in the context of different recycling business models in Beijing. Firstly, a questionnaire survey was conducted in 2021 in Beijing (N = 1153) to test the key factors which affect household recycling behavior. Secondly, an agent-based model for community-based recycling which was developed in 2016 has been updated to incorporate the institutional change in the development of zero-waste city initiatives. Scenario analysis is adopted to compare the effects of introducing two new business models to the baseline situation that is prevalent at present. The settings for the two new business models represent the diversified directions of the upgrading of urban recycling sector: one is to improve the intelligence of the collection facilities to save labors, and the other is to involve the informal recyclers to provide door-to-door collection services in person so as to save time for the residents. Additional scenario shows the effects of norm-based solutions in combination with the two strategies addressed above in the long run. The simulation results show that the potential for carbon emissions reduction through post-consumer recycling in Beijing can range from 1 million tons per year at the basic scenario to more than 4.5 million tons per year in the community level norm-based solution scenario. In conclusion, the proposal for sustaining the community-based new business models through the capture of value in the carbon emission reduction is put forward as a guideline for urban recycling infrastructure design.
引用
收藏
页数:11
相关论文
共 64 条
[1]  
Abdel-Shafy HI., 2018, Egypt. J. Pet, V27, P1275, DOI [10.1016/j.ejpe.2018.07.003, DOI 10.1016/J.EJPE.2018.07.003]
[2]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[3]  
Beijing Bureau of Statistics, 2021, BEIJ STAT YB
[4]   Extending the Theory of Planned Behavior in the context of recycling: The role of moral norms and of demographic predictors [J].
Botetzagias, Iosif ;
Dima, Andora-Fani ;
Malesios, Chrisovaladis .
RESOURCES CONSERVATION AND RECYCLING, 2015, 95 :58-67
[5]  
CCG C.C.G.G., 2022, China Products Carbon Footprint Factors Database
[6]   Testing a norm-based policy for waste management: An agent-based modeling simulation on nudging recycling behavior [J].
Ceschi, Andrea ;
Sartori, Riccardo ;
Dickert, Stephan ;
Scalco, Andrea ;
Tur, Elena M. ;
Tommasi, Francesco ;
Delfini, Keren .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 294
[7]   Time series analysis of the effects of refuse collection on recycling: Taiwan's "Keep Trash Off the Ground" measure [J].
Chao, Yu-Long .
WASTE MANAGEMENT, 2008, 28 (05) :859-869
[8]   Novel information interaction rule for municipal household waste classification behavior based on an evolving scale-free network [J].
Chen, Liqiang ;
Gao, Ming .
RESOURCES CONSERVATION AND RECYCLING, 2021, 168
[9]   Physical and virtual carbon metabolism of global cities [J].
Chen, Shaoqing ;
Chen, Bin ;
Feng, Kuishuang ;
Liu, Zhu ;
Fromer, Neil ;
Tan, Xianchun ;
Alsaedi, Ahmed ;
Hayat, Tasawar ;
Weisz, Helga ;
Schellnhuber, Hans Joachim ;
Hubacek, Klaus .
NATURE COMMUNICATIONS, 2020, 11 (01)
[10]   Carbon emissions under different domestic waste treatment modes induced by garbage classification: Case study in pilot communities in Shanghai, China [J].
Chen, Sisi ;
Huang, Jialiang ;
Xiao, Tingting ;
Gao, Jun ;
Bai, Jianfeng ;
Luo, Wei ;
Dong, Bin .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 717