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Author:

Li, Q. (Li, Q..) | Qian, T. (Qian, T..) | Zhang, X. (Zhang, X..) | Long, R. (Long, R..) | Chen, H. (Chen, H..) | Huang, H. (Huang, H..) | Liu, L. (Liu, L..) | Zhu, L. (Zhu, L..) | Jiang, H. (Jiang, H..) | Zhu, H. (Zhu, H..)

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SSCI Scopus

Abstract:

Incorporating the principles of loss aversion psychology within the context of green housing stakeholders – the government, realtors, and residents – this study extends its purview into an evolutionary game model. This model takes into account the consequences of inaction in the absence of government oversight, the additional loss incurred by realtors due to the unmarketable development of green housing, and the psychological loss experienced by residents when their green housing acquisitions fall short of their expectations. To further enrich our analysis, three distinct scenarios are considered for the government: exclusive rewards without penalties, exclusive penalties without rewards, and a combination of both rewards and penalties. The simulation results show that: (1) The initial probability values assigned to the three parties do not significantly impact the long-term stable equilibrium. Interestingly, a higher initial probability value tends to steer all three parties towards selecting the stable equilibrium solution. (2) Within the context of the three reward–penalty​ scenarios, it becomes evident that an increase in the magnitude of government rewards and penalties inclines realtors towards a greater inclination to engage in green housing development. Nonetheless, a balanced approach appears to yield the most favorable results. (3) A sensitivity analysis reveals that a heightened aversion to loss within the government's decision-making process leads to a higher likelihood of regulatory intervention. Conversely, a diminished loss aversion mindset among realtors and residents correlates with an increased propensity for realtors to invest in green housing development, while residents are more inclined to purchase green housing. Finally, corresponding policy implications are given according to the conclusions. © 2023 Economic Society of Australia, Queensland

Keyword:

Green housing Evolutionary game Loss aversion Reward and penalty

Author Community:

  • [ 1 ] [Li Q.]School of Business, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 2 ] [Li Q.]The Institute for National Security and Green Development, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 3 ] [Qian T.]School of Business, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 4 ] [Zhang X.]School of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Long R.]School of Business, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 6 ] [Long R.]The Institute for Jiangnan Culture, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 7 ] [Chen H.]School of Business, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 8 ] [Chen H.]The Institute for National Security and Green Development, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 9 ] [Huang H.]School of Economics and Management, China University of Mining and Technology, Jiangsu Province, Xuzhou, 221116, China
  • [ 10 ] [Liu L.]School of Business, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 11 ] [Zhu L.]Anhui University of Finance and Economics, Anhui Province, Bengbu, 233030, China
  • [ 12 ] [Jiang H.]School of Business, Jiangnan University, Jiangsu Province, Wuxi, 214122, China
  • [ 13 ] [Zhu H.]School of Business, Jiangnan University, Jiangsu Province, Wuxi, 214122, China

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Source :

Economic Analysis and Policy

ISSN: 0313-5926

Year: 2023

Volume: 80

Page: 647-668

ESI Discipline: ECONOMICS & BUSINESS;

ESI HC Threshold:16

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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