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The interactive influence of personal norm and policy measures on urban resident waste separation behaviour

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Abstract

To explore the factors that influence residents’ waste separation intention (WSI) and the interaction mechanism among different influencing factors, a conceptual model based on the incentive and constraint mechanism was constructed , and six hypotheses were proposed. Partial least square (PLS) was then used to analyse the data from 323 survey samples. The findings indicate that material incentive policy measures (MIPM), spiritual incentive policy measures (SIPM) and binding policy measures (BPM) are positively correlated with WSI. Of these, BPM exert the most significant influence on WSI. The findings also indicate that personal norms (PN) plays a moderating role in the relationship between BPM and WSI. These results can help decision-makers to take effective action to improve WSI among urban residents.

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The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

References

  1. MEE (2019) Annual report on the prevention and control of environmental pollution by large and medium cities solid waste. Ministry of Ecological Environment (MEE): http://huanbao.bjx.com.cn/news/20200103/1033734.shtml. Accessed 10 Mar 2020

  2. Hagan CB (1966) The logic of collective action: public goods and the theory of groups. Am Pol Sci Rev 60:129–130

    Article  Google Scholar 

  3. Czajkowski M, Hanley N, Nyborg K (2017) Social norms, morals and self-interest as determinants of pro-environment behaviours: the case of household recycling. Environ Res Econ 66:647–670

    Article  Google Scholar 

  4. Xu L, Ling M, Wu Y (2018) Economic incentive and social influence to overcome household waste separation dilemma: a field intervention study. Waste Man 77:522–531

    Article  Google Scholar 

  5. Zhang B, Lai KH, Wang B, Wang Z (2019) From intention to action: how do personal attitudes, facilities accessibility, and government stimulus matter for household waste sorting? J Environ Manage 233:447–458

    Article  Google Scholar 

  6. Amini F, Ahmad J, Ambali AR (2014) The influence of reward and penalty on households’ recycling intention. APCBEE Proc 10:187–192

    Article  Google Scholar 

  7. Wang Z, Yin J, Dong X (2016) Antecedents of urban residents’ separate collection intentions for household solid waste and their willingness to pay: evidence from China. J Clean Prod 173:256–264

    Article  Google Scholar 

  8. Zhou M-H, Shen S-L, Xu Y-S, Zhou A-N (2019) New policy and implementation of municipal solid waste classification in Shanghai, China. Int J Environ Res Public Health 16:3099

    Article  Google Scholar 

  9. Douglass RB (1977) Belief, attitude, intention, and behavior: an introduction to theory and research by Martin Fishbein; Icek Ajzen. Philos Rhetor 10:130–132

    Google Scholar 

  10. Chen F, Wang F, Hou J (2020) Individual preference framework or group preference framework? Which will regulate the impact path of product facilities on residents’ waste-sorting behavior better. Inter J Environ Res Public Health. 17:332

    Google Scholar 

  11. Chen MF (2010) The moderating effect of perceived lack of facilities on consumers’ recycling intentions. Environ Behav 42:824–844

    Article  Google Scholar 

  12. Suh EM (2002) Culture, identity consistency, and subjective well-being. J Pers Soc Psychol 83:1378–1391

    Article  Google Scholar 

  13. Abrahamse W, Steg L (2013) Social influence approaches to encourage resource conservation: a meta-analysis. Glob Environ Chang 23:1773–1785

    Article  Google Scholar 

  14. Groot JIMD, Steg L (2010) Relationships between value orientations, self-determined motivational types and pro-environmental behavioural intentions. J Environ Psychol 30:368–378

    Article  Google Scholar 

  15. Morren M, Grinstein A (2016) Explaining environmental behavior across borders: a meta-analysis. J Environ Psychol 47:91–106

    Article  Google Scholar 

  16. Reddy SMW, Montambault J, Masuda YJ, Keenan E, Butler W, Fisher JRB, Asah ST, Gneezy A (2017) Advancing conservation by understanding and influencing human behavior. Conserv Lett 10:248–256

    Article  Google Scholar 

  17. Fan B, Yang W, Shen X (2018) A comparison study of ‘motivation–intention–behavior’ model on household solid waste sorting in China and Singapore. J Clean Prod 211:442–454

    Article  Google Scholar 

  18. Bortoleto AP, Kurisu KH, Hanaki K (2012) Model development for household waste prevention behaviour. Waste Manage 32:2195–2207

    Article  Google Scholar 

  19. Heidari A, Kolahi M, Behravesh N, Ghor Ba Nyon M, Ehsanmansh F, Hashemolhosini N, Zanganeh F (2018) Youth and sustainable waste management: a SEM approach and extended theory of planned behavior. J Mater Cycles Waste Manage 20:2041–2053

    Article  Google Scholar 

  20. Hage O, Sandberg K, Söderholm P, Berglund C (2016) Household plastic waste collection in Swedish municipalities: a spatial-econometric approach.

  21. Werner CM, Turner J, Shipman K, Twitchell FS, Dickson BR, Bruschke GV, Bismarck WBV (1995) Commitment, behavior, and attitude change: an analysis of voluntary recycling. J Environ Psychol 15:197–208

    Article  Google Scholar 

  22. Miltiadis, Makris (2003) The theory of incentives: the principal-agent model. Economic Journal.

  23. Zheng C (1998) Research on incentive and restraint mechanism of managers in state-owned enterprises. J Fin Eco 000:27–31

    Google Scholar 

  24. Yang S, Guo G (2007) The two-way restraining mechanism between owner and manager. J Hebei Univer Eco Business 028:67–70

    Google Scholar 

  25. Wang SY, Li J, Zhao DT (2017) The impact of policy measures on consumer intention to adopt electric vehicles: evidence from China. Transport Res a-Pol 105:14–26

    Google Scholar 

  26. Wan C, Shen GQ, Yu A (2014) The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong. Resour Conserv Recy 83:141–151

    Article  Google Scholar 

  27. Rist R (1998) Carrots, sticks and sermons: policy instruments and their evaluation. Videc 77:934–937

    Google Scholar 

  28. Elmore RF (1987) Instruments and strategy in public policy. Rev Policy Res 7:13

    Article  Google Scholar 

  29. Gormley W (1897) Bureau-bashing: a framework for analysis. In Meetings of the American Political Science Association, Chicago, IL

    Google Scholar 

  30. Wan C, Shen GQ, Yu A (2015) Key determinants of willingness to support policy measures on recycling: a case study in Hong Kong. Environ Sci Policy 54:409–418

    Article  Google Scholar 

  31. Liao C, Zhao D, Zhang S, Chen L (2018) Determinants and the moderating effect of perceived policy effectiveness on residents’ separation intention for rural household solid waste. Inter J Environ Res 15:726

    Google Scholar 

  32. Xu L, Ling M, Lu Y, Shen M (2017) External influences on forming residents’ waste separation behaviour: evidence from households in Hangzhou, China. Habitat Int 63:21–33

    Article  Google Scholar 

  33. Wang S, Wang J, Yang S, Li J, Zhou K (2020) From intention to behavior: comprehending residents’ waste sorting intention and behavior formation process. Waste Manage 113:41–50

    Article  Google Scholar 

  34. Li W, Jin Z, Liu X, Li G, Wang L (2020) The impact of mandatory policies on residents’ willingness to separate household waste: a moderated mediation model. J Environ Manage 275:111226

    Article  Google Scholar 

  35. Liu X, Wang Z, Li W, Li G, Zhang Y (2019) Mechanisms of public education influencing waste classification willingness of urban residents. Resour Conserv Recycl 149:381–390

    Article  Google Scholar 

  36. Thogersen J (1996) Recycling and Morality A critical review of the literature. Environ Behavior 28:536–558

    Article  Google Scholar 

  37. Botetzagias I, Dima AF, Malesios C (2015) Extending the theory of planned behavior in the context of recycling: the role of moral norms and of demographic predictors. Resour Conserv Recycl 95:58–67

    Article  Google Scholar 

  38. Saphores JDM, Ogunseitan OA, Shapiro AA (2012) Willingness to engage in a pro-environmental behavior: an analysis of e-waste recycling based on a national survey of U.S. households. Resour Conserv Recycl 60:49–63

    Article  Google Scholar 

  39. Iyer ES, Kashyap RK (2007) Consumer recycling: role of incentives, information, and social class. J Consum Behav 6:32–47

    Article  Google Scholar 

  40. Bamberg S, Möser G (2007) Twenty years after Hines, Hungerford, and Tomera: a new meta-analysis of psycho-social determinants of pro-environmental behaviour. J Environ Psychol 27:14–25

    Article  Google Scholar 

  41. Schwartz SH (1977) Normative influences on altruism. Adv Exp Soc Psychol 10:221–279

    Article  Google Scholar 

  42. Zhang Y, Wang Z, Zhou G (2013) Antecedents of employee electricity saving behavior in organizations: an empirical study based on norm activation model. Energy Policy 62:1120–1127

    Article  Google Scholar 

  43. Liao C, Li H (2019) Environmental education, knowledge, and high school students’ intention toward separation of solid waste on campus. Int J Environ Res Public Health 16:1659

    Article  Google Scholar 

  44. Wang Z, Guo D, Wang X, Zhang B, Wang B (2018) How does information publicity influence residents’ behaviour intentions around e-waste recycling? Resour Conserv Recycl 133:1–9

    Article  Google Scholar 

  45. Musella G, Agovino M, Cerciello M (2019) The effects of neighbour influence and cultural consumption on separate waste collection Theoretical framework and empirical investigation. Ecol Eco 166:354

    Google Scholar 

  46. Schultz PW, Oskamp S, Mainieri T (1995) Who recycles and when? A review of personal and situational factors. J Environ Psychol 15:105–121

    Article  Google Scholar 

  47. Bruvoll A, Halvorsen B, Nyborg K (2002) Households’ recycling efforts. Resour Conserv Recycl 36:337–354

    Article  Google Scholar 

  48. Timlett RE, Williams ID (2008) Public participation and recycling performance in England: a comparison of tools for behaviour change. Resour Conserv Recycl 52:622–634

    Article  Google Scholar 

  49. Abrahamse W, Steg L (2009) How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings? J Econ Psychol 30:711–720

    Article  Google Scholar 

  50. Harland P, Staats H, Wilke HAM (2007) Situational and personality factors as direct or personal norm mediated predictors of pro-environmental behavior: questions derived from norm-activation theory. Basic Appl Soc Psychol 29:323–334

    Article  Google Scholar 

  51. Abrahamse W, Steg L, Gifford R, Vlek C (2009) Factors influencing car use for commuting and the intention to reduce it: a question of self-interest or morality? Transport Res F 12:317–324

    Article  Google Scholar 

  52. Vella-Brodrick DA, Stanley J (2013) The significance of transport mobility in predicting well-being. Transp Policy 29:236–242

    Article  Google Scholar 

  53. Li H (2001) How does new venture strategy matter in the environment–performance relationship? J High Technol Manag Res 12:183

    Article  Google Scholar 

  54. MOHURD (2017) Implementation plan of household garbage classification system. Ministry of Housing and Urban-Rural Development of the People's Republic of China ( MOHURD ): https://www.mohurd.gov.cn/xinwen/gzdt/201703/20170331_231349.html Accessed 20 Mar 2022

  55. PGSP (2019) Special investigation report on household garbage classification awareness of Sichuan residents. People's Government of Sichuan Province (PGSP): https://www.sc.gov.cn/10462/10771/10795/12401/2019/9/2/117f80d5bf4f4208b562c13019bbd001.shtml. Accessed 12 April 2022

  56. NBS (2010) The sixth National Census Report. National Bureau of Statistics: http://www.stats.gov.cn/tjsj/pcsj/rkpc/6rp/indexch.htm. Accessed 10 Oct, 2022

  57. CBS (2020) Chengdu: Per capita Disposable income of urban residents _ Cumulative (Yuan/month). Chengdu Bureau of Statistics: http://cdstats.chengdu.gov.cn/. 15 Feb 2020

  58. Hair JF, Sarstedt M, Pieper TM, Christian M (2012) The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long Range Plan 45:320–340

    Article  Google Scholar 

  59. Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103:411–423

    Article  Google Scholar 

  60. Podsakoff PM, MacKenzie SB, Lee J-Y, Podsakoff NP (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88:879–903

    Article  Google Scholar 

  61. Podsakoff PM, Organ DW (1986) Self-report in organisational research: problems and prospects. J Manag 12:69–82

    Google Scholar 

  62. Streiner DL (2003) Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess 80:99–103

    Article  Google Scholar 

  63. Nunnally J (1978) Psychometric theory, 2nd edn. McGraw-Hill, New York

    Google Scholar 

  64. Campbell DTF, Donald W (1959) Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull 56:81–105

    Article  Google Scholar 

  65. Fornell C (1981) Larcker DF (1959) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 24:337–346

    Article  Google Scholar 

  66. Chin WW, Marcoulides G (1998) The partial least squares approach to structural equation modeling. Adv Hos Leis. 8:223

    Google Scholar 

  67. Abrahamse W, Steg L, Vlek C, Rothengatter T (2005) A review of intervention studies aimed at household energy conservation. J Environ Psychol 25:273–291

    Article  Google Scholar 

  68. Cialdini RB, Reno RR, Kallgren CA (1990) A focus theory of normative conduct: recycling the concept of norms to reduce littering in public places. J Pers Soc Psychol 58:1015–1026

    Article  Google Scholar 

  69. Wan C, Shen GQ, Choi S (2017) Experiential and instrumental attitudes: interaction effect of attitude and subjective norm on recycling intention. J Environ Psychol 50:69–79

    Article  Google Scholar 

  70. Bertoldo R, Castro P (2016) The outer influence inside us: exploring the relation between social and personal norms. Resour Conserv Recycl 112:45–53

    Article  Google Scholar 

  71. Wang S (2020) Five Experiences of Waste Classification in Germany. Qingyan Think Tank: https://baijiahao.baidu.com/s?id=1664564894214741487&wfr=spider&for=pc. Accessed 20 Mar 2020.

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Acknowledgements

This work was partially supported by the Research Fund Project of Sichuan University Ideological and Political Education Research Center [grant numbers CSZ20027]; the Research Fund Project of Philosophy and Social Science of Chengdu University of Technology [grant numbers YJ2020-NS004]; the Research Fund Project of Sichuan Center for Rural Development Research [grant numbers [CR2112]; and Sichuan Province Science and Technology Support Program [grant numbers 2021JDR0340].

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  1. College of Management Science, Chengdu University of Technology, Chengdu, Sichuan Province, 6110059, People’s Republic of China

    Huijia Zhu, Yong Liu, Feng Wang, Shihao Song & Jiali Cai

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  1. Huijia Zhu
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  2. Yong Liu
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Table 5 Measurement items
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Zhu, H., Liu, Y., Wang, F. et al. The interactive influence of personal norm and policy measures on urban resident waste separation behaviour. J Mater Cycles Waste Manag 25, 2012–2024 (2023). https://doi.org/10.1007/s10163-023-01628-5

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