IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v251y2019ic95.html
   My bibliography  Save this article

Does social interaction have an impact on residents’ sustainable lifestyle decisions? A multi-agent stimulation based on regret and game theory

Author

Listed:
  • Cheng, Xiu
  • Long, Ruyin
  • Chen, Hong
  • Yang, Jiahui

Abstract

A sustainable lifestyle is the inevitable choice for mitigating global climate change. This paper describes a multi-agent simulation to analyze the impact of preferences, income parameters, and interaction intensity on residents’ decision-making about sustainable lifestyles considering social interaction. The results showed that preferences made a difference to residents’ choice and that residents with interest preferences are most susceptible to interactive information. Greater benefits can induce residents to practice a sustainable lifestyle, whereas cost and benefits loss determine the macro trend of group decision-making. In addition, it was found that large nodes (residents with more neighbors) play a key role in guiding residents to implement a sustainable lifestyle. These results improve our understanding of the impact of social interaction on individual decisions to practice a sustainable lifestyle. These findings could facilitate the practical implementation of sustainable lifestyles and provide new ways to launch policies related to sustainable lifestyle promotion.

Suggested Citation

  • Cheng, Xiu & Long, Ruyin & Chen, Hong & Yang, Jiahui, 2019. "Does social interaction have an impact on residents’ sustainable lifestyle decisions? A multi-agent stimulation based on regret and game theory," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  • Handle: RePEc:eee:appene:v:251:y:2019:i:c:95
    DOI: 10.1016/j.apenergy.2019.113366
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919310402
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.113366?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Manaugh, Kevin & El-Geneidy, Ahmed M., 2013. "Does distance matter? Exploring the links among values, motivations, home location, and satisfaction in walking trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 198-208.
    2. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    3. Franz Fuerst & Patrick McAllister, 2011. "Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(1), pages 45-69, March.
    4. Jalili, Mahdi, 2013. "Social power and opinion formation in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 959-966.
    5. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    6. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    7. Huebner, Gesche & Shipworth, David & Hamilton, Ian & Chalabi, Zaid & Oreszczyn, Tadj, 2016. "Understanding electricity consumption: A comparative contribution of building factors, socio-demographics, appliances, behaviours and attitudes," Applied Energy, Elsevier, vol. 177(C), pages 692-702.
    8. Wang, Zhaohua & Zhang, Bin & Zhang, Yixiang, 2012. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," Applied Energy, Elsevier, vol. 91(1), pages 235-244.
    9. Licheng Sun & Qunwei Wang & Shilong Ge, 2018. "Urban resident energy-saving behavior: a case study under the A2SC framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 515-536, March.
    10. Eran Ben-Elia & Robert Ishaq & Yoram Shiftan, 2013. "“If only I had taken the other road...”: Regret, risk and reinforced learning in informed route-choice," Transportation, Springer, vol. 40(2), pages 269-293, February.
    11. Duarte, Rosa & Feng, Kuishuang & Hubacek, Klaus & Sánchez-Chóliz, Julio & Sarasa, Cristina & Sun, Laixiang, 2016. "Modeling the carbon consequences of pro-environmental consumer behavior," Applied Energy, Elsevier, vol. 184(C), pages 1207-1216.
    12. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    13. Eric Morris & Erick Guerra, 2015. "Mood and mode: does how we travel affect how we feel?," Transportation, Springer, vol. 42(1), pages 25-43, January.
    14. Du, Wen-Bo & Cao, Xian-Bin & Hu, Mao-Bin & Yang, Han-Xin & Zhou, Hong, 2009. "Effects of expectation and noise on evolutionary games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2215-2220.
    15. Cooke, Alan D J & Meyvis, Tom & Schwartz, Alan, 2001. "Avoiding Future Regret in Purchase-Timing Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(4), pages 447-459, March.
    16. Xia, Meimei & Chen, Jian, 2015. "Multi-criteria group decision making based on bilateral agreements," European Journal of Operational Research, Elsevier, vol. 240(3), pages 756-764.
    17. Wang, Zhaohua & Liu, Wei, 2015. "Determinants of CO2 emissions from household daily travel in Beijing, China: Individual travel characteristic perspectives," Applied Energy, Elsevier, vol. 158(C), pages 292-299.
    18. George J. Mailath & Andrew Postlewaite, 2003. "The Social Context of Economic Decisions," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 354-362, 04/05.
    19. Wan, Bingyue & Tian, Lixin & Zhu, Naiping & Gu, Liqin & Zhang, Guangyong, 2018. "A new endogenous growth model for green low-carbon behavior and its comprehensive effects," Applied Energy, Elsevier, vol. 230(C), pages 1332-1346.
    20. Clark, Ben & Chatterjee, Kiron & Melia, Steve, 2016. "Changes to commute mode: The role of life events, spatial context and environmental attitude," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 89-105.
    21. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    22. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
    23. Cecere, Grazia & Mancinelli, Susanna & Mazzanti, Massimiliano, 2014. "Waste prevention and social preferences: the role of intrinsic and extrinsic motivations," Ecological Economics, Elsevier, vol. 107(C), pages 163-176.
    24. Kotchen, Matthew J., 2005. "Impure public goods and the comparative statics of environmentally friendly consumption," Journal of Environmental Economics and Management, Elsevier, vol. 49(2), pages 281-300, March.
    25. He, Senyu & Yin, Jianhua & Zhang, Bin & Wang, Zhaohua, 2018. "How to upgrade an enterprise’s low-carbon technologies under a carbon tax: The trade-off between tax and upgrade fee," Applied Energy, Elsevier, vol. 227(C), pages 564-573.
    26. Gibbons, D.E., 2007. "Interorganizational network structures and diffusion of information through a health system," American Journal of Public Health, American Public Health Association, vol. 97(9), pages 1684-1692.
    27. Meimei Xia & Jian Chen & Juliang Zhang, 2015. "Multi-criteria decision making based on relative measures," Annals of Operations Research, Springer, vol. 229(1), pages 791-811, June.
    28. Yu, Shiwei & Agbemabiese, Lawrence & Zhang, Junjie, 2016. "Estimating the carbon abatement potential of economic sectors in China," Applied Energy, Elsevier, vol. 165(C), pages 107-118.
    29. Zeinab Rezvani & Johan Jansson & Maria Bengtsson, 2018. "Consumer motivations for sustainable consumption: The interaction of gain, normative and hedonic motivations on electric vehicle adoption," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1272-1283, December.
    30. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    31. David Godes & Dina Mayzlin & Yubo Chen & Sanjiv Das & Chrysanthos Dellarocas & Bruce Pfeiffer & Barak Libai & Subrata Sen & Mengze Shi & Peeter Verlegh, 2005. "The Firm's Management of Social Interactions," Marketing Letters, Springer, vol. 16(3), pages 415-428, December.
    32. Chorus, Caspar G. & Arentze, Theo A. & Timmermans, Harry J.P., 2008. "A Random Regret-Minimization model of travel choice," Transportation Research Part B: Methodological, Elsevier, vol. 42(1), pages 1-18, January.
    33. Baojun Jiang & Chakravarthi Narasimhan & Özge Turut, 2017. "Anticipated Regret and Product Innovation," Management Science, INFORMS, vol. 63(12), pages 4208-4323, December.
    34. Ma, Guo & Andrews-Speed, Philip & Zhang, Jiandong, 2013. "Chinese consumer attitudes towards energy saving: The case of household electrical appliances in Chongqing," Energy Policy, Elsevier, vol. 56(C), pages 591-602.
    35. Charles Boster & Michael Majerczyk & Yu Tian, 2018. "The Effect of Individual and Pooled Profit Sharing Plans on Honesty in Managerial Reporting," Contemporary Accounting Research, John Wiley & Sons, vol. 35(2), pages 696-715, June.
    36. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    37. Adaman, Fikret & KaralI, Nihan & Kumbaroglu, Gürkan & Or, Ilhan & Özkaynak, Begüm & Zenginobuz, Ünal, 2011. "What determines urban households' willingness to pay for CO2 emission reductions in Turkey: A contingent valuation survey," Energy Policy, Elsevier, vol. 39(2), pages 689-698, February.
    38. Shao, Changzheng & Ding, Yi & Wang, Jianhui, 2019. "A low-carbon economic dispatch model incorporated with consumption-side emission penalty scheme," Applied Energy, Elsevier, vol. 238(C), pages 1084-1092.
    39. Geng, Jichao & Long, Ruyin & Chen, Hong, 2016. "Impact of information intervention on travel mode choice of urban residents with different goal frames: A controlled trial in Xuzhou, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 134-147.
    40. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2004. "Social Interaction and Stock-Market Participation," Journal of Finance, American Finance Association, vol. 59(1), pages 137-163, February.
    41. Aguilar, Francisco X. & Vlosky, Richard P., 2007. "Consumer willingness to pay price premiums for environmentally certified wood products in the U.S," Forest Policy and Economics, Elsevier, vol. 9(8), pages 1100-1112, May.
    42. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    43. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    44. Hu, Yujie & Zhang, Yongping & Lamb, David & Zhang, Mingming & Jia, Peng, 2019. "Examining and optimizing the BCycle bike-sharing system – A pilot study in Colorado, US," Applied Energy, Elsevier, vol. 247(C), pages 1-12.
    45. Na Chen & Zeshui Xu & Meimei Xia, 2015. "The ELECTRE I Multi-Criteria Decision-Making Method Based on Hesitant Fuzzy Sets," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 621-657.
    46. Sun, Yanlong & Kang, Chongqing & Xia, Qing & Chen, Qixin & Zhang, Ning & Cheng, Yaohua, 2017. "Analysis of transmission expansion planning considering consumption-based carbon emission accounting," Applied Energy, Elsevier, vol. 193(C), pages 232-242.
    47. Yasuyuki Okumura & Shinji Sakamoto, 2012. "Depression treatment preferences among Japanese undergraduates: Using conjoint analysis," International Journal of Social Psychiatry, , vol. 58(2), pages 195-203, March.
    48. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    49. Bruno Solnik & Luo Zuo, 2012. "A Global Equilibrium Asset Pricing Model with Home Preference," Management Science, INFORMS, vol. 58(2), pages 273-292, February.
    50. Bruno Solnik & Luo Zuo, 2012. "A Global Equilibrium Asset Pricing Model with Home Preference," Post-Print hal-00679667, HAL.
    51. Frank Goetzke, 2008. "Network Effects in Public Transit Use: Evidence from a Spatially Autoregressive Mode Choice Model for New York," Urban Studies, Urban Studies Journal Limited, vol. 45(2), pages 407-417, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhongwei Zhu & Tingyu Qian & Lei Liu, 2023. "Evolutionary Simulation of Carbon-Neutral Behavior of Urban Citizens in a “Follow–Drive” Perspective," Sustainability, MDPI, vol. 15(13), pages 1-28, July.
    2. Matteo Vaccargiu & Andrea Pinna & Roberto Tonelli & Luisanna Cocco, 2023. "Blockchain in the Energy Sector for SDG Achievement," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    3. Cheng, Xiu & Wu, Fan & Long, Ruyin & Li, Wenbo, 2021. "Uncovering the effects of learning capacity and social interaction on the experienced utility of low-carbon lifestyle guiding policies," Energy Policy, Elsevier, vol. 154(C).
    4. Cheng, Xiu & Long, Ruyin & Chen, Hong, 2020. "A policy utility dislocation model based on prospect theory: A case study of promoting policies with low-carbon lifestyle," Energy Policy, Elsevier, vol. 137(C).
    5. Mohamad Saifudin Mohamad Saleh & Ali Mehellou & Bahiyah Omar, 2023. "The Influence of Islamic Values on Sustainable Lifestyle: The Moderating Role of Opinion Leaders," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    6. Du, Feng & Yue, Hong & Zhang, Jiangfeng, 2023. "Influence of advertisement control to residential energy savings in large networks," Applied Energy, Elsevier, vol. 333(C).
    7. Hu, Maomao & Xiao, Fu & Wang, Shengwei, 2021. "Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2020. "Analysis of the impact of policies intervention on electric vehicles adoption considering information transmission—based on consumer network model," Energy Policy, Elsevier, vol. 144(C).
    9. Cheng, Xiu & Long, Ruyin & Wu, Fan & Geng, Jichao & Yang, Jiameng, 2023. "How social interaction shapes habitual and occasional low-carbon consumption behaviors: Evidence from ten cities in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    10. Limei Liu & Zhe Liu & Yi Yang & Biao Shi & Xingbao Liu, 2023. "Evolutionary Game Analysis of Abandoned-Bike-Sharing Recycling: Impact of Recycling Subsidy Policy," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    11. Ruguo Fan & Rongkai Chen, 2022. "Promotion Policies for Electric Vehicle Diffusion in China Considering Dynamic Consumer Preferences: A Network-Based Evolutionary Analysis," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
    12. Rabaa, Simon & Geisendorf, Sylvie & Wilken, Robert, 2022. "Why change does (not) happen: Understanding and overcoming status quo biases in climate change mitigation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 45(1), pages 100-134.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Geng, Jichao & Long, Ruyin & Chen, Hong & Li, Wenbo, 2017. "Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 282-292.
    2. Jichao Geng & Ruyin Long & Hong Chen & Ting Yue & Wenbo Li & Qianwen Li, 2017. "Exploring Multiple Motivations on Urban Residents’ Travel Mode Choices: An Empirical Study from Jiangsu Province in China," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    3. Jhunjhunwala, Tanushree, 2021. "Searching to avoid regret: An experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 298-319.
    4. Peng Jing & Mengxuan Zhao & Meiling He & Long Chen, 2018. "Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    5. Roee Teper, 2010. "Probabilistic Dominance and Status Quo Bias," Working Paper 5864, Department of Economics, University of Pittsburgh.
    6. Riella, Gil & Teper, Roee, 2014. "Probabilistic dominance and status quo bias," Games and Economic Behavior, Elsevier, vol. 87(C), pages 288-304.
    7. Korn, Olaf & Rieger, Marc Oliver, 2016. "Hedging with regret," CFR Working Papers 16-06, University of Cologne, Centre for Financial Research (CFR).
    8. Guo, Xiaolong & Bian, Junsong & Wu, Peiyan & Shi, Victor & Chen, Huangen, 2023. "Probabilistic product design with regret-anticipated consumers," International Journal of Production Economics, Elsevier, vol. 263(C).
    9. Korn, Olaf & Rieger, Marc Oliver, 2019. "Hedging with regret," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 192-205.
    10. Giselle Moraes Ramos & Winnie Daamen & Serge Hoogendoorn, 2014. "A State-of-the-Art Review: Developments in Utility Theory, Prospect Theory and Regret Theory to Investigate Travellers' Behaviour in Situations Involving Travel Time Uncertainty," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 46-67, January.
    11. Tianxin Zou & Bo Zhou & Baojun Jiang, 2020. "Product-Line Design in the Presence of Consumers’ Anticipated Regret," Management Science, INFORMS, vol. 66(12), pages 5665-5682, December.
    12. Qin, Jie, 2020. "Regret-based capital asset pricing model," Journal of Banking & Finance, Elsevier, vol. 114(C).
    13. Michael Nwogugu, 2020. "Regret Theory And Asset Pricing Anomalies In Incomplete Markets With Dynamic Un-Aggregated Preferences," Papers 2005.01709, arXiv.org.
    14. Qin, Jie, 2015. "A model of regret, investor behavior, and market turbulence," Journal of Economic Theory, Elsevier, vol. 160(C), pages 150-174.
    15. Lee, K.M.C. & Kraussl, R.G.W. & Paas, L.J., 2009. "The effect of anticipated and experienced regret and pride on investors' future selling decisions," Serie Research Memoranda 0057, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    16. Wang, Fenglong & Mao, Zidan & Wang, Donggen, 2020. "Residential relocation and travel satisfaction change: An empirical study in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 341-353.
    17. Baojun Jiang & Chakravarthi Narasimhan & Özge Turut, 2017. "Anticipated Regret and Product Innovation," Management Science, INFORMS, vol. 63(12), pages 4208-4323, December.
    18. Patricia H. Born & E. Tice Sirmans, 2019. "Regret in health insurance post‐purchase behavior," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(2), pages 207-219, July.
    19. Michele Fioretti & Alexander Vostroknutov & Giorgio Coricelli, 2022. "Dynamic Regret Avoidance," American Economic Journal: Microeconomics, American Economic Association, vol. 14(1), pages 70-93, February.
    20. Jacobs Martin, 2016. "Accounting for Changing Tastes: Approaches to Explaining Unstable Individual Preferences," Review of Economics, De Gruyter, vol. 67(2), pages 121-183, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:251:y:2019:i:c:95. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.