Antecedents of Compliance Intention and Its Impact on Waste Separation Behavior: Based on Rational Choice Theory and Deterrence Theory
Abstract
:1. Introduction
2. Literature Review and Hypotheses
2.1. Research on Waste Separation Behavior
2.2. Waste Separation Policy
2.3. Compliance with Waste Separation Policy
2.3.1. Perceived Benefit and Perceived Effectiveness of Waste Separation Behavior
2.3.2. Perceived Deterrent Severity and Perceived Deterrent Certainty
2.3.3. Antecedents of Waste Separation Behavior
3. Methodology
3.1. Survey and Measurement Items
3.2. Data Collection
4. Results and Discussion
4.1. Measurement Model Assessment
4.2. Structural Model Assessment
4.3. Discussion
5. Conclusions
5.1. Theoretical Implications
5.2. Practical Implications
5.3. Limitations and Future Research
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Constructs | Items | Items | Sources |
---|---|---|---|
Perceived benefit | PB1 | I believe that waste separation helps reduce disposal of waste in landfills. | [10,45] |
PB2 | I believe that waste separation helps reduce negative impacts on the environment. | ||
PB3 | My waste separation behavior will have an important educational effect on my children. | ||
PB4 | Waste separation has positive effects on residents’ perceptions in saving resources and protecting the environment. | ||
Perceived effectiveness | PE1 | I am aware of how my waste separation behavior impacts the environment. | [44,45,47] |
PE2 | I am willing to engage in waste separation behavior, even if it is inconvenient for me. | ||
PE3 | I am willing to make personal sacrifices to enhance the quality of the environment, even if the results do not seem so meaningful at the moment. | ||
PE4 | I believe that some of my waste separation behavior would enhance the quality of the living environment in our surroundings. | ||
Perceived deterrent severity | DS1 | If I were caught violating the municipal waste separation policy, the sanctions would be very severe. | [49,56] |
DS2 | My community would take strict action against violation of the municipal waste separation policy. | ||
DS3 | If I violate the municipal waste separation policy, the sanctions would put me in serious trouble. | ||
Perceived deterrent certainty | DC1 | My community strictly enforces the municipal waste separation policy with residents. | [49,56] |
DC2 | I am likely to incur sanctions if I violate the municipal waste separation policy. | ||
DC3 | My community explicitly communicates that sanctions will follow if the municipal waste separation policy is violated. | ||
Compliance intention | CI1 | I intend to comply with the requirements of the municipal waste separation policy in my daily lives. | [1,55] |
CI2 | I intend to protect environment according to the municipal waste separation policy in my daily lives. | ||
CI3 | I intend to carry out my responsibilities prescribed in the municipal waste separation policy in my daily lives. | ||
Waste separation behavior (Compliance behavior) | CB1 | I put only general waste into the volume-based garbage bag. | [2] |
CB2 | I separate paper, metal, glass, plastics and other recyclable waste from general waste and green waste. | ||
CB3 | I separate green waste from recyclable waste and general waste. | ||
Moral belief | MB1 | I would find it morally unacceptable to violate the municipal waste separation policy. | [52] |
MB2 | It would be against my moral beliefs to violate the municipal waste separation policy. |
Appendix B
Construct | PB | PE | DS | DC | CI | CB | MB |
---|---|---|---|---|---|---|---|
Perceived benefit | 1.534 | ||||||
Perceived effectiveness | 1.467 | ||||||
Perceived deterrent severity | 1.219 | ||||||
Perceived deterrent certainty | 1.266 | ||||||
Compliance intention | 1.497 | ||||||
Waste separation behavior | |||||||
Moral belief | 1.497 |
Appendix C
Sum of Squares | df | Mean Square | F | Sig. | ||
---|---|---|---|---|---|---|
Perceived benefit | Between groups | 8.779 | 2 | 4.389 | 4.273 | 0.015 |
Within groups | 311.250 | 303 | 1.027 | |||
Total | 320.029 | 305 | ||||
Perceived effectiveness | Between groups | 4.072 | 2 | 2.036 | 2.975 | 0.053 |
Within groups | 207.366 | 303 | 0.684 | |||
Total | 211.438 | 305 | ||||
Perceived deterrent severity | Between groups | 15.997 | 2 | 7.999 | 10.969 | 0.000 |
Within groups | 220.938 | 303 | 0.729 | |||
Total | 236.935 | 305 | ||||
Perceived deterrent certainty | Between groups | 3.683 | 2 | 1.842 | 2.394 | 0.093 |
Within groups | 233.052 | 303 | 0.769 | |||
Total | 236.735 | 305 | ||||
Compliance intention | Between groups | 5.662 | 2 | 2.831 | 3.487 | 0.032 |
Within groups | 246.011 | 303 | 0.812 | |||
Total | 251.673 | 305 | ||||
Waste separation behavior | Between groups | 2.704 | 2 | 1.352 | 1.949 | 0.144 |
Within groups | 210.211 | 303 | 0.694 | |||
Total | 212.915 | 305 | ||||
Moral belief | Between groups | 2.503 | 2 | 1.251 | 1.662 | 0.191 |
Within groups | 228.111 | 303 | 0.753 | |||
Total | 230.614 | 305 |
Appendix D
Construct | Item | PB | PE | DS | DC | CI | CB | MB |
---|---|---|---|---|---|---|---|---|
Perceived benefit | PB1 | 0.896 | 0.450 | 0.232 | 0.326 | 0.591 | 0.443 | 0.426 |
PB2 | 0.896 | 0.411 | 0.249 | 0.316 | 0.562 | 0.428 | 0.379 | |
PB3 | 0.804 | 0.452 | 0.248 | 0.473 | 0.560 | 0.435 | 0.397 | |
PB4 | 0.752 | 0.322 | 0.353 | 0.337 | 0.452 | 0.392 | 0.349 | |
Perceived effectiveness | PE1 | 0.390 | 0.854 | 0.307 | 0.192 | 0.355 | 0.399 | 0.576 |
PE2 | 0.390 | 0.854 | 0.409 | 0.187 | 0.395 | 0.484 | 0.541 | |
PE3 | 0.454 | 0.840 | 0.287 | 0.378 | 0.492 | 0.451 | 0.624 | |
PE4 | 0.349 | 0.700 | 0.259 | 0.241 | 0.375 | 0.459 | 0.551 | |
Perceived deterrent severity | DS1 | 0.257 | 0.333 | 0.929 | 0.116 | 0.317 | 0.394 | 0.293 |
DS2 | 0.223 | 0.288 | 0.841 | 0.074 | 0.233 | 0.280 | 0.258 | |
DS3 | 0.346 | 0.395 | 0.891 | 0.031 | 0.334 | 0.395 | 0.300 | |
Perceived deterrent certainty | DC1 | 0.353 | 0.307 | 0.048 | 0.845 | 0.382 | 0.303 | 0.322 |
DC2 | 0.410 | 0.291 | 0.089 | 0.900 | 0.471 | 0.338 | 0.320 | |
DC3 | 0.356 | 0.233 | 0.072 | 0.852 | 0.446 | 0.313 | 0.251 | |
Compliance intention | CI1 | 0.573 | 0.420 | 0.300 | 0.455 | 0.911 | 0.676 | 0.516 |
CI2 | 0.615 | 0.483 | 0.329 | 0.495 | 0.954 | 0.687 | 0.566 | |
CI3 | 0.605 | 0.494 | 0.304 | 0.440 | 0.898 | 0.636 | 0.510 | |
Waste separation behavior | CB1 | 0.471 | 0.544 | 0.394 | 0.442 | 0.634 | 0.936 | 0.620 |
CB2 | 0.473 | 0.486 | 0.352 | 0.332 | 0.653 | 0.939 | 0.592 | |
CB3 | 0.469 | 0.508 | 0.393 | 0.237 | 0.622 | 0.915 | 0.559 | |
Moral belief | MB1 | 0.425 | 0.656 | 0.322 | 0.277 | 0.524 | 0.573 | 0.929 |
MB2 | 0.439 | 0.666 | 0.279 | 0.359 | 0.551 | 0.612 | 0.938 |
Appendix E
Construct | PB | PE | DS | DC | CI | CB | MB |
---|---|---|---|---|---|---|---|
Perceived benefit | |||||||
Perceived effectiveness | 0.573 | ||||||
Perceived deterrent severity | 0.367 | 0.451 | |||||
Perceived deterrent certainty | 0.510 | 0.371 | 0.097 | ||||
Compliance intention | 0.731 | 0.573 | 0.373 | 0.573 | |||
Waste separation behavior | 0.570 | 0.630 | 0.448 | 0.413 | 0.786 | ||
Moral belief | 0.541 | 0.839 | 0.372 | 0.406 | 0.653 | 0.715 |
References
- Wang, S.; Wang, J.; Zhao, S.; Yang, S. Information publicity and resident’s waste separation behavior: An empirical study based on the norm activation model. Waste Manag. 2019, 87, 33–42. [Google Scholar] [CrossRef]
- Goh, E.; Esfandiar, K.; Jie, F.; Brown, K.; Djajadikerta, H. Please sort out your rubbish! An integrated structural model approach to examine antecedents of residential households’ waste separation behaviour. J. Clean. Prod. 2022, 355, 131789. [Google Scholar] [CrossRef]
- Knickmeyer, D. Social factors influencing household waste separation: A literature review on good practices to improve the recycling performance of urban areas. J. Clean. Prod. 2020, 245, 118605. [Google Scholar] [CrossRef]
- Li, W.; Jin, Z.; Liu, X.; Li, G.; Wang, L. The impact of mandatory policies on residents’ willingness to separate household waste: A moderated mediation model. J. Environ. Manag. 2020, 275, 111226. [Google Scholar] [CrossRef]
- Leflaive, X.; Zegel, F.; Agrawala, S.; Monti, N.; Kim, T.; Romano, O.; Botta, E.; Kitamori, K. 25 Years on Ambitious Environmental Reform. In Korea and the OECD: 25 Years and Beyond; OECD: Paris, France, 2021. [Google Scholar]
- Mele, M.; Magazzino, C.; Schneider, N.; Gurrieri, A.R.; Golpira, H. Innovation, income, and waste disposal operations in Korea: Evidence from a spectral granger causality analysis and artificial neural networks experiments. Econ. Polít. 2022, 39, 427–459. [Google Scholar] [CrossRef]
- Mmereki, D.; Baldwin, A.; Li, B. A comparative analysis of solid waste management in developed, developing and lesser developed countries. Environ. Technol. Rev. 2016, 5, 120–141. [Google Scholar] [CrossRef]
- Ostrom, E. Analyzing collective action. Agricultural economics. Int. Assoc. Agric. Econ. 2010, 41, 155–166. [Google Scholar] [CrossRef]
- Dietz, T. What should we do? Human ecology and collective decision making. Hum. Ecol. Rev. 1994, 1, 301–309. [Google Scholar]
- Nguyen, T.T.P.; Zhu, D.; Le, N.P. Factors influencing waste separation intention of residential households in a developing country: Evidence from Hanoi, Vietnam. Habitat Int. 2015, 48, 169–176. [Google Scholar] [CrossRef]
- Zhao, Y.; Chen, R.; Yabe, M.; Han, B.; Liu, P. I Am Better Than Others: Waste Management Policies and Self-Enhancement Bias. Sustainability 2021, 13, 13257. [Google Scholar] [CrossRef]
- Becker, G. Crime and punishment: An economic approach. J. Political Econ. 1968, 76, 9394. [Google Scholar] [CrossRef]
- Paternoster, R.; Saltzman, L.E.; Waldo, G.P.; Chiricos, T.G. Perceived risk and social control: Do sanctions really deter? Law Soc. Rev. 1983, 17, 457–480. [Google Scholar] [CrossRef]
- Gibbs, J.P. Crime, Punishment, and Deterrence; Elsevier: New York, NY, USA, 1975. [Google Scholar]
- Tittle, C.R. Sanctions and Social Deviance: The Question of Deterrence; Praeger: New York, NY, USA, 1980. [Google Scholar]
- Stern, P.C. New Environmental Theories: Toward a Coherent Theory of Environmentally Significant Behavior. J. Soc. Issues 2000, 56, 407–424. [Google Scholar] [CrossRef]
- Kronrod, A.; Tchetchik, A.; Grinstein, A.; Turgeman, L.; Blass, V. Promoting new pro-environmental behaviors: The effect of combining encouraging and discouraging messages. J. Environ. Psychol. 2023, 86, 101945. [Google Scholar] [CrossRef]
- Paillé, P.; Mejía-Morelos, J.H. Antecedents of pro-environmental behaviours at work: The moderating influence of psychological contract breach. J. Environ. Psychol. 2014, 38, 124–131. [Google Scholar] [CrossRef]
- Xu, L.; Ling, M.; Lu, Y.; Shen, M. Understanding Household Waste Separation Behaviour: Testing the Roles of Moral, Past Experience, and Perceived Policy Effectiveness within the Theory of Planned Behaviour. Sustainability 2017, 9, 625. [Google Scholar] [CrossRef]
- Yau, Y. Stakeholder engagement in waste recycling in a high-rise setting. Sustain. Dev. 2012, 20, 115–127. [Google Scholar] [CrossRef]
- Kushwah, S.; Gokarn, S.; Ahmad, E.; Pant, K.K. An empirical investigation of household’s waste separation intention: A dual-factor theory perspective. J. Environ. Manag. 2023, 329, 117109. [Google Scholar] [CrossRef]
- Tinmaz, E.; Demir, I. Research on solid waste management system: To improve existing situation in Corlu Town of Turkey. Waste Manag. 2006, 26, 307–314. [Google Scholar] [CrossRef]
- Rompf, S.A. System Trust and Cooperation: The Case of Recycling Behavior; MPRA Paper 60279; University of Mannheim: Mannheim, Germany, 2014. [Google Scholar]
- Hage, O.; Söderholm, P.; Berglund, C. Norms and economic motivation in household recycling: Empirical evidence from Sweden. Resour. Conserv. Recycl. 2009, 53, 155–165. [Google Scholar] [CrossRef]
- Xu, L.; Ling, M.; Wu, Y. Economic incentive and social influence to overcome household waste separation dilemma: A field intervention study. Waste Manag. 2018, 77, 522–531. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Y.; Wang, G.; Zhang, Q.; Ji, Y.; Xu, H. What determines urban household intention and behavior of solid waste separation? A case study in China. Environ. Impact Assess. Rev. 2022, 93, 106728. [Google Scholar] [CrossRef]
- Razali, F.; Daud, D.; Weng-Wai, C.; Jiram, A.W.R. Waste separation at source behaviour among Malaysian households: The Theory of Planned Behaviour with moral norm. J. Clean. Prod. 2020, 271, 122025. [Google Scholar] [CrossRef]
- Zhang, B.; Lai, K.-h.; Wang, B.; Wang, Z. From intention to action: How do personal attitudes, facilities accessibility, and government stimulus matter for household waste sorting? J. Environ. Manag. 2019, 233, 447–458. [Google Scholar] [CrossRef] [PubMed]
- Meng, X.; Tan, X.; Wang, Y.; Wen, Z.; Tao, Y.; Qian, Y. Investigation on decision-making mechanism of residents’ household solid waste classification and recycling behaviors. Resour. Conserv. Recycl. 2019, 140, 224–234. [Google Scholar] [CrossRef]
- Wilson, D. Global Waste Management Outlook; United Nations Environment Programme (UNEP): Nairobi, Kenya, 2015; Available online: https://www.unep.org/resources/report/global-waste-management-outlook (accessed on 12 February 2023).
- Wang, Z.; Guo, D.; Wang, X.; Zhang, B.; Wang, B. How does information publicity influence residents’ behaviour intentions around e-waste recycling? Resour. Conserv. Recycl. 2018, 133, 1–9. [Google Scholar] [CrossRef]
- Stoeva, K.; Alriksson, S. Influence of recycling programmes on waste separation behaviour. Waste Manag. 2017, 68, 732–741. [Google Scholar] [CrossRef] [PubMed]
- Heidari, A.; Kolahi, M.; Behravesh, N.; Ghorbanyon, M.; Ehsanmansh, F.; Hashemolhosini, N.; Zanganeh, F. Youth and sustainable waste management: A SEM approach and extended theory of planned behavior. J. Mater. Cycles Waste Manag. 2018, 20, 2041–2053. [Google Scholar] [CrossRef]
- Korea Environment Institute. Volume-Based Waste Fee System. Korea Environ. Policy Bull. 2003, 1, 1–24. [Google Scholar]
- Seoul Metropolitan Government. Pleasant, Healthy and Sustainable City SEOUL. Seoul’s Exemplary Environment Policies. 2015. Available online: http://susa.or.kr/en/content/solid-waste-management?ckattempt=1 (accessed on 12 February 2023).
- Linde´N, A.-L.; Carlsson-Kanyama, A. Environmentally Friendly Disposal Behaviour and Local Support Systems: Lessons from a metropolitan area. Local Environ. 2003, 8, 291–301. [Google Scholar] [CrossRef]
- Babaei, A.A.; Alavi, N.; Goudarzi, G.; Teymouri, P.; Ahmadi, K.; Rafiee, M. Household recycling knowledge, attitudes and practices towards solid waste management. Resour. Conserv. Recycl. 2015, 102, 94–100. [Google Scholar] [CrossRef]
- Ogiri, I.A.; Sidique, S.F.; Talib, M.A.; Abdul-Rahim, A.S.; Radam, A. Encouraging recycling among households in Malaysia: Does deterrence matter? Waste Manag. Res. 2019, 37, 755–762. [Google Scholar] [CrossRef]
- Liu, Y.; Kong, F.; Santibanez Gonzalez, E.D.R. Dumping, waste management and ecological security: Evidence from England. J. Clean. Prod. 2017, 167, 1425–1437. [Google Scholar] [CrossRef]
- Linderhof, V.; Oosterhuis, F.H.; van Beukering, P.J.H.; Bartelings, H. Effectiveness of deposit-refund systems for household waste in the Netherlands: Applying a partial equilibrium model. J. Environ. Manag. 2019, 232, 842–850. [Google Scholar] [CrossRef]
- Zhang, D.Q.; Tan, S.K.; Gersberg, R.M. Municipal solid waste management in China: Status, problems and challenges. J. Environ. Manag. 2010, 91, 1623–1633. [Google Scholar] [CrossRef] [PubMed]
- Minelgaitė, A.; Liobikienė, G. The problem of not waste sorting behaviour, comparison of waste sorters and non-sorters in European Union: Cross-cultural analysis. Sci. Total Environ. 2019, 672, 174–182. [Google Scholar] [CrossRef] [PubMed]
- Paternoster, R.; Simpson, S. Sanction threats and appeals to morality: Testing a rational choice model of corporate crime. Law Soc. Rev. 1996, 30, 549–584. [Google Scholar] [CrossRef]
- Liu, P.; Segovia, M.; Tse, E.C.-Y.; Nayga, R.M. Become an environmentally responsible customer by choosing low-carbon footprint products at restaurants: Integrating the elaboration likelihood model (ELM) and the theory of planned behavior (TPB). J. Hosp. Tour. Manag. 2022, 52, 346–355. [Google Scholar] [CrossRef]
- Cudjoe, D.; Yuan, Q.; Han, M.S. An assessment of the influence of awareness of benefits and perceived difficulties on waste sorting intention in Beijing. J. Clean. Prod. 2020, 272, 123084. [Google Scholar] [CrossRef]
- Kim, Y.; Han, H. Intention to pay conventional-hotel prices at a green hotel—A modification of the theory of planned behavior. J. Sustain. Tour. 2010, 18, 997–1014. [Google Scholar] [CrossRef]
- Wan, C.; Shen, G.Q.; Yu, A. The moderating effect of perceived policy effectiveness on recycling intention. J. Environ. Psychol. 2014, 37, 55–60. [Google Scholar] [CrossRef]
- Vance, A.; Siponen, M.T.; Straub, D.W. Effects of sanctions, moral beliefs, and neutralization on information security policy violations across cultures. Inf. Manag. 2020, 57, 103212. [Google Scholar] [CrossRef]
- Xu, J.; Wang, X.; Yan, L. The moderating effect of abusive supervision on information security policy compliance: Evidence from the hospitality industry. Comput. Secur. 2021, 111, 102455. [Google Scholar] [CrossRef]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Wang, X. Analysis of influencing mechanism on waste separation behavior in Shanghai. Sustain. Energy Technol. Assess. 2021, 47, 101479. [Google Scholar] [CrossRef]
- D’Arcy, J.; Lowry, P.B. Cognitive-affective drivers of employees’ daily compliance with information security policies: A multilevel, longitudinal study. Inf. Syst. J. 2019, 29, 43–69. [Google Scholar] [CrossRef]
- Chan, L.; Bishop, B. A moral basis for recycling: Extending the theory of planned behaviour. J. Environ. Psychol. 2013, 36, 96–102. [Google Scholar] [CrossRef]
- Graham-Rowe, E.; Jessop, D.C.; Sparks, P. Predicting household food waste reduction using an extended theory of planned behaviour. Resour. Conserv. Recycl. 2015, 101, 194–202. [Google Scholar] [CrossRef]
- Bulgurcu, B.H.; Cavusoglu, H.; Benbasat, I. Information security policy compliance: An empirical study of rationality-based beliefs and information security awareness. MIS Q. 2010, 34, 523–548. [Google Scholar] [CrossRef]
- Son, J.-Y. Out of fear or desire? Toward a better understanding of employees’ motivation to follow IS security policies. Inf. Manag. 2011, 48, 296–302. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.-Y.; Podsakoff, N.P. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef] [PubMed]
- Kock, N. Common method bias in PLS-SEM: A full collinearity assessment approach. Int. J. e-Collab. 2015, 11, 1–10. [Google Scholar] [CrossRef]
- Qualtrics. What is Non-Probability Sampling? Definition and Examples. Available online: https://www.qualtrics.com/au/experience-management/research/non-probability-sampling/ (accessed on 8 May 2023).
- Ringle, C.M.; Sarstedt, M.; Straub, D.W. A Critical Look at the Use of PLS-SEM in MIS Quarterly. MIS Q. 2012, 36, iii–xiv. [Google Scholar] [CrossRef]
- Hair, J.F.; Ringle, C.M.; Sarstedt, M. PLS-SEM: Indeed a Silver Bullet. J. Mark. Theory Pract. 2011, 19, 139–152. [Google Scholar] [CrossRef]
- Hair, J.F.; Anderson, R.E.; Tatham, R.L.; Black, W.C. Multivariate Data Analysis; Prentice Hall: Hoboken, NJ, USA, 1998. [Google Scholar]
- Fornell, C.; Larcker, D. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- Gefen, D.; Straub, D.W. A practical guide to factorial validity using PLS-graph: Tutorial and annotated example. Commun. AIS 2005, 16, 19–109. [Google Scholar] [CrossRef]
- Henseler, J.; Ringle, C.M.; Sarstedt, M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 2015, 43, 115–135. [Google Scholar] [CrossRef]
- Chin, W.W.; Marcolin, B.L.; Newsted, P.R. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Inf. Syst. Res. 2003, 14, 189–217. [Google Scholar] [CrossRef]
- Huang, H. Media use, environmental beliefs, self-efficacy, and pro-environmental behavior. J. Bus. Res. 2016, 69, 2206–2212. [Google Scholar] [CrossRef]
Items | Category | Frequency | Ratio (%) |
---|---|---|---|
Gender | Female | 164 | 53.59 |
Male | 142 | 46.40 | |
Age | Under 30 | 32 | 10.45 |
30–39 | 94 | 30.71 | |
40–49 | 104 | 33.98 | |
50–59 | 44 | 14.37 | |
60 or above | 32 | 10.45 | |
Education level | High school or below | 50 | 16.33 |
Bachelor’s degree | 228 | 74.50 | |
Graduate school or above | 28 | 9.15 | |
Average monthly income (KRW) | Below 2,000,000 | 28 | 9.15 |
2,000,000–2,999,999 | 40 | 13.07 | |
3,000,000–3,999,999 | 62 | 20.26 | |
4,000,000–4,999,999 | 90 | 29.41 | |
5,000,000–5,999,999 | 66 | 21.56 | |
Above 6,000,000 | 20 | 6.54 |
Constructs | Mean (SD) | Cronbach’s Alpha | Composite Reliability | Average Variance Extracted (AVE) |
---|---|---|---|---|
Perceived benefit | 3.289 (1.026) | 0.858 | 0.905 | 0.705 |
Perceived effectiveness | 2.842 (0.834) | 0.829 | 0.887 | 0.663 |
Perceived deterrent severity | 2.839 (0.883) | 0.867 | 0.918 | 0.788 |
Perceived deterrent certainty | 3.440 (0.882) | 0.834 | 0.900 | 0.750 |
Compliance intention | 3.632 (0.910) | 0.911 | 0.944 | 0.849 |
Waste separation behavior | 3.490 (0.837) | 0.922 | 0.950 | 0.865 |
Moral belief | 3.180 (0.871) | 0.852 | 0.931 | 0.871 |
Constructs | PB | PE | DS | DC | CI | CB | MB |
---|---|---|---|---|---|---|---|
Perceived benefit | 0.839 | ||||||
Perceived effectiveness | 0.491 | 0.815 | |||||
Perceived deterrent severity | 0.316 | 0.387 | 0.888 | ||||
Perceived deterrent certainty | 0.432 | 0.318 | 0.082 | 0.866 | |||
Compliance intention | 0.649 | 0.505 | 0.338 | 0.503 | 0.922 | ||
Waste separation behavior | 0.506 | 0.552 | 0.408 | 0.368 | 0.723 | 0.930 | |
Moral belief | 0.464 | 0.708 | 0.321 | 0.342 | 0.576 | 0.636 | 0.933 |
Hypothesis | Path Coefficient | t-Value | p-Value | Results |
---|---|---|---|---|
Perceived benefit -> Compliance intention | 0.414 | 5.350 | 0.000 | Supported |
Perceived effectiveness -> Compliance intention | 0.174 | 2.443 | 0.007 | Supported |
Perceived deterrent severity -> Compliance intention | 0.119 | 1.953 | 0.025 | Supported |
Perceived deterrent certainty -> Compliance intention | 0.259 | 3.521 | 0.000 | Supported |
Compliance intention -> Waste separation behavior | 0.534 | 7.659 | 0.000 | Supported |
Moral belief -> Waste separation behavior | 0.328 | 4.162 | 0.000 | Supported |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kim, S. Antecedents of Compliance Intention and Its Impact on Waste Separation Behavior: Based on Rational Choice Theory and Deterrence Theory. Behav. Sci. 2023, 13, 424. https://doi.org/10.3390/bs13050424
Kim S. Antecedents of Compliance Intention and Its Impact on Waste Separation Behavior: Based on Rational Choice Theory and Deterrence Theory. Behavioral Sciences. 2023; 13(5):424. https://doi.org/10.3390/bs13050424
Chicago/Turabian StyleKim, Sohee. 2023. "Antecedents of Compliance Intention and Its Impact on Waste Separation Behavior: Based on Rational Choice Theory and Deterrence Theory" Behavioral Sciences 13, no. 5: 424. https://doi.org/10.3390/bs13050424
APA StyleKim, S. (2023). Antecedents of Compliance Intention and Its Impact on Waste Separation Behavior: Based on Rational Choice Theory and Deterrence Theory. Behavioral Sciences, 13(5), 424. https://doi.org/10.3390/bs13050424