Consumer’s Waste Classification Intention in China: An Extended Theory of Planned Behavior Model
Abstract
:1. Introduction
2. Relevant Literature and Hypotheses Development
2.1. The Theory of Planned Behavior Model
2.2. Waste Classification
2.3. Government Publicity
2.4. Consumer Knowledge
3. Methodology
3.1. Sample and Data Collection
3.2. Measures
4. Results
4.1. Testing of Reliability and Validity of the Measurement Model
4.2. Testing of the Structural Equation Model
4.3. Moderating Effects of Consumer Knowledge
5. Discussion
5.1. Contributions to Theory and Research
5.2. Managerial Implications
5.3. Limitations and Recommendations
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Kaza, S.; Yao, L.; Bhada-Tata, P.; Van Woerden, F. What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050; World Bank Publications, 2018; pp. 3–6. [Google Scholar]
- Arbolino, R.; Carlucci, F.; De Simone, L.; Ioppolo, G.; Yigitcanlar, T. The policy diffusion of environmental performance in the European countries. Ecol. Indic. 2018, 89, 130–138. [Google Scholar] [CrossRef]
- Jambeck, J.R.; Geyer, R.; Wilcox, C.; Siegler, T.R.; Perryman, M.; Andrady, A.; Narayan, R.; Law, K.L. Plastic waste inputs from land into the ocean. Science 2015, 347, 768–771. [Google Scholar] [CrossRef] [PubMed]
- Aquilani, B.; Silvestri, C.; Ioppolo, G.; Ruggieri, A. The challenging transition to bio-economies: Towards a new framework integrating corporate sustainability and value co-creation. J. Clean. Prod. 2018, 172, 4001–4009. [Google Scholar] [CrossRef]
- Arbolino, R.; Carlucci, F.; Cirà, A.; Ioppolo, G.; Yigitcanlar, T. Efficiency of the EU regulation on greenhouse gas emissions in Italy: The hierarchical cluster analysis approach. Ecol. Indic. 2017, 81, 115–123. [Google Scholar] [CrossRef] [Green Version]
- Aleluia, J.; Ferrão, P. Characterization of urban waste management practices in developing Asian countries: A new analytical framework based on waste characteristics and urban dimension. Waste Manag. 2016, 58, 415–429. [Google Scholar] [CrossRef]
- Gu, B.; Jiang, S.; Wang, H.; Wang, Z.; Jia, R.; Yang, J.; He, S.; Cheng, R. Characterization, quantification and management of China’s municipal solid waste in spatiotemporal distributions: A review. Waste Manag. 2017, 61, 67–77. [Google Scholar] [CrossRef]
- Guo, Z.; Brusseau, M.L.; Fogg, G.E. Determining the long-term operational performance of pump and treat and the possibility of closure for a large TCE plume. J. Hazard. Mater. 2019, 365, 796–803. [Google Scholar] [CrossRef]
- Di Nardo, A.; Bortone, I.; Chianese, S.; Di Natale, M.; Erto, A.; Santonastaso, G.F.; Musmarra, D. Odorous emission reduction from a waste landfill with an optimal protection system based on fuzzy logic. Environ. Sci. Pollut. Res. 2019, 26, 14755–14765. [Google Scholar] [CrossRef] [Green Version]
- Ma, J.; Luo, Z.; Chen, F.; Zhu, Q.; Zhang, S.; Liu, G.J. A Practical Approach to Reduce Greenhouse Gas Emissions from Open Dumps through Infrastructure Restructuring: A Case Study in Nanjing City, China. Sustainability 2018, 10, 2804. [Google Scholar] [CrossRef] [Green Version]
- Hu, X.; Zhang, M.; Yu, J.; Zhang, G. Food waste management in China: Status, problems and solutions. Shengtai Xuebao/Acta Ecol. Sin. 2012, 32, 4575–4584. [Google Scholar]
- Liao, C.; Zhao, D.; Zhang, S.; Chen, L. Determinants and the moderating effect of perceived policy effectiveness on residents’ separation intention for rural household solid waste. Int. J. Environ. Res. Public Health 2018, 15, 726. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Nie, Y.; Wu, Y.; Zhao, J.; Zhao, J.; Chen, X.; Maraseni, T.; Qian, G. Is the finer the better for municipal solid waste (MSW) classification in view of recyclable constituents? A comprehensive social, economic and environmental analysis. Waste Manag. 2018, 79, 472–480. [Google Scholar] [CrossRef] [PubMed]
- Caruso, G.; Gattone, S.A. Waste Management Analysis in Developing Countries through Unsupervised Classification of Mixed Data. Soc. Sci. 2019, 8, 186. [Google Scholar] [CrossRef] [Green Version]
- A Series of Reports from China. Available online: http://www.gov.cn/xinwen/2019-08/22/content_5423308.htm. (accessed on 15 October 2019).
- 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]
- Meng, X.; Wen, Z.; Qian, Y. Multi-agent based simulation for household solid waste recycling behavior. Resour. Conserv. Recycl. 2018, 128, 535–545. [Google Scholar] [CrossRef]
- Resti, Y.; Mohruni, A.S.; Rodiana, T.; Zayanti, D.A. Study in Development of Cans Waste Classification System Based on Statistical Approaches. In Journal of Physics; Conference Series; IOP Publishing, April 2019; Volume 1198, No. 9; p. 092004. [Google Scholar]
- Midi, N.S.; Rahmad, M.A.; Yusoff, S.H.; Mohamad, S.Y. Recyclable waste separation system based on material classification using weight and size of waste. Bull. Electr. Eng. Inf. 2019, 8, 477–487. [Google Scholar] [CrossRef]
- Idrobo, M.L.; Saenz, M.F.; Márceles, K.; Chanchí, G.E.; Vidal, M.I.; Burbano, C.L. Recycling: A Serious Game Focused on the Classification of Waste. In International Congress of Telematics and Computing; Springer: Cham, Switzerland, November 2018; pp. 234–245. [Google Scholar]
- Abdelradi, F. Food waste behaviour at the household level: A conceptual framework. Waste Manag. 2018, 71, 485–493. [Google Scholar] [CrossRef]
- 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]
- Tommasetti, A.; Singer, P.; Troisi, O.; Maione, G. Extended theory of planned behavior (ETPB): Investigating customers’ perception of restaurants’ sustainability by testing a structural equation model. Sustainability 2018, 10, 2580. [Google Scholar] [CrossRef] [Green Version]
- Singh, M.P.; Chakraborty, A.; Roy, M. Developing an extended theory of planned behavior model to explore circular economy readiness in manufacturing MSMEs, India. Resour. Conserv. Recycl. 2018, 135, 313–322. [Google Scholar] [CrossRef]
- Kankanews A Variety of Knowledge on Municipal Solid Waste Classification Has Been Introduced into Class. Available online: http://www.kankanews.com/a/2019-02-22/0038762007.shtml (accessed on 10 September 2019).
- Oh, K.; Abraham, L. Effect of knowledge on decision making in the context of organic cotton clothing. Int. J. Consum. Stud. 2016, 40, 66–74. [Google Scholar] [CrossRef] [Green Version]
- Rao, A.R.; Monroe, K.B. The moderating effect of prior knowledge on cue utilization in product evaluations. J. Consum. Res. 1988, 15, 253–264. [Google Scholar] [CrossRef]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Fishbein, M.; Ajzen, I. On construct validity: A critique of Miniard and Cohen’s paper. J. Exp. Soc. Psychol. 1981, 17, 340–350. [Google Scholar] [CrossRef]
- Azjen, I. Understanding Attitudes and Predicting Social Behavior; Prentice-Hall: Englewood Cliffs, NJ, USA, 1980. [Google Scholar]
- Montano, D.E.; Kasprzyk, D. Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. Health Behav. Theory Res. Pract. 2015, 70, 231–261. [Google Scholar]
- Askadilla, W.L.; Krisjanti, M.N. Understanding indonesian green consumer behavior on cosmetic products: Theory of planned behavior model. Pol. J. Manag. Stud. 2017, 15, 8–15. [Google Scholar] [CrossRef]
- Han, H.; Hsu, L.J.; Sheu, C. Application of the theory of planned behavior to green hotel choice: Testing the effect of environmental friendly activities. Tour. Manag. 2010, 31, 325–334. [Google Scholar] [CrossRef]
- Kiriakidis, S. Theory of planned behaviour: The intention-behaviour relationship and the perceived behavioural control (PBC) relationship with intention and behaviour. Int. J. Strateg. Innov. Mark. 2015, 3, 40–51. [Google Scholar] [CrossRef]
- Yang, S.; Li, L.; Zhang, J. Understanding consumers’ sustainable consumption intention at china’s double-11 online shopping festival: An extended theory of planned behavior model. Sustainability 2018, 10, 1801. [Google Scholar] [CrossRef] [Green Version]
- Hou, J.; Hou, B. Farmers’Adoption of Low-Carbon Agriculture in China: An Extended Theory of the Planned Behavior Model. Sustainability 2019, 11, 1399. [Google Scholar] [CrossRef] [Green Version]
- Chang, M.K. Predicting unethical behavior: A comparison of the theory of reasoned action and the theory of planned behavior. J. Bus. Ethics 1998, 17, 1825–1834. [Google Scholar] [CrossRef]
- Olya, H.G.; Bagheri, P.; Tümer, M. Decoding behavioural responses of green hotel guests: A deeper insight into the application of the theory of planned behaviour. Int. J. Contemp. Hosp. Manag. 2019, 31, 2509–2525. [Google Scholar] [CrossRef] [Green Version]
- Moon, M.A.; Mohel, S.H.; Farooq, A. I green, you green, we all green: Testing the extended environmental theory of planned behavior among the university students of Pakistan. Soc. Sci. J. 2019, 1–12. [Google Scholar] [CrossRef]
- Choi, D.; Johnson, K.K. Influences of environmental and hedonic motivations on intention to purchase green products: An extension of the theory of planned behavior. Sustain. Prod. Consum. 2019, 18, 145–155. [Google Scholar] [CrossRef]
- Shanghai Municipal Solid Waste Management Regulation. Available online: http://www.spcsc.sh.cn/n1939/n1944/ n1946 /n2029/u1ai185433.html (accessed on 17 October 2019).
- Wen, X.; Luo, Q.; Hu, H.; Wang, N.; Chen, Y.; Jin, J.; Hao, Y.; Xu, G.; Li, F.; Fang, W. Comparison research on waste classification between China and the EU, Japan, and the USA. J. Mater. Cycles Waste 2014, 16, 321–334. [Google Scholar] [CrossRef]
- Waste Management and Public Cleansing Law. Available online: https://www.env.go.jp/en/laws/recycle/01.pdf. (accessed on 20 September 2019).
- Themelis, N.J.; Mussche, C. Municipal solid waste management and waste-to-energy in the United States, China and Japan. In Proceedings of the 2nd International Academic Symposium on Enhanced Landfill Mining, Houthalen-Helchteren, Belgium, 2013. [Google Scholar]
- Park, S.; Lah, T.J. Same material different recycling standards: Comparing the municipal solid waste standards of the European Union, South Korea and the USA. Int. J. Environ. Waste Manag. 2018, 21, 80–93. [Google Scholar] [CrossRef]
- Hrebicek, J.; Soukopova, J. Municipal waste strategy for approaching european union recycling targets. In Proceedings of the Sixteenth International Waste Management and Landfill Symposium, Cagliari, Italy, 2017. [Google Scholar]
- O Dowd, A. Spending on junk food advertising is nearly 30 times what government spends on promoting healthy eating. Br. Med. J. Pub. Group 2017, 359. [Google Scholar]
- Hirvonen, K.; Headey, D. Can governments promote homestead gardening at scale? Evidence from Ethiopia. Glob. Food Secur. 2018, 19, 40–47. [Google Scholar] [CrossRef]
- Zhou, M.; Shen, S.; Xu, Y.; Zhou, A. New Policy and Implementation of Municipal Solid Waste Classification in Shanghai, China. Int. J. Environ. Res. Public Health 2019, 16, 3099. [Google Scholar] [CrossRef] [Green Version]
- Garbage Sorting Will Be Incorporated into the Law. Available online: https://news.china.com/socialgd/10000169/ 20190627/36491456.html (accessed on 27 July 2019).
- Carrying out the Publicity of waste Classification and advocating Green Life style. Available online: http://www.xa.gov.cn/xw/zwzx/qxrd/5d5e15f2f99d650a100c9eba.html (accessed on 22 August 2019).
- Fombrun, C.J.; Rindova, V. Reputation management in global 1000 firms: A benchmarking study. Corp. Reput. Rev. 1998, 1, 205–212. [Google Scholar] [CrossRef]
- Gray, E.R.; Balmer, J.M. Managing corporate image and corporate reputation. Long Range Plan. 1998, 31, 695–702. [Google Scholar] [CrossRef]
- Keller, K.L.; Lehmann, D.R. Brands and branding: Research findings and future priorities. Market Sci. 2006, 25, 740–759. [Google Scholar] [CrossRef]
- Deephouse, D.L.; Carter, S.M. An examination of differences between organizational legitimacy and organizational reputation. J. Manag. Stud. 2005, 42, 329–360. [Google Scholar] [CrossRef]
- Spotts, H.E.; Weinberger, M.G.; Weinberger, M.F. How Publicity and Advertising Spending Affect Marketing and Company Performance: Print Media Publicity about Durable-Goods/Services Brands Has a Stronger Impact than Advertising. J. Advert. Res. 2015, 55, 416–432. [Google Scholar] [CrossRef]
- Mancha, R.M.; Yoder, C.Y. Cultural antecedents of green behavioral intent: An environmental theory of planned behavior. J. Environ. Psychol. 2015, 43, 145–154. [Google Scholar] [CrossRef]
- Moon, M.A.; Attiq, S. Compulsive buying behavior: Antecedents, consequences and prevalence in shopping mall consumers of an emerging economy. Pak. J. Commer. Soc. Sci. (PJCSS) 2018, 12, 548–570. [Google Scholar]
- Schwartz, S.H. Normative influences on altruism. Adv. Exp. Soc. Psychol. 1977, 10, 221–279. [Google Scholar]
- Van Doorn, J.; Verhoef, P.C. Willingness to pay for organic products: Differences between virtue and vice foods. Int. J. Res. Mark. 2011, 28, 167–180. [Google Scholar] [CrossRef]
- Ajzen, I. Constructing a Theory of Planned Behavior Questionnaire. Unpublished Manuscript Retrieved. 2006, 861–871. [Google Scholar]
- Ajzen, I.; Madden, T.J. Prediction of goal-directed behavior from attitudinal and normative variables. J. Exp. Soc. Psychol. 1986, 22, 453–474. [Google Scholar] [CrossRef]
- Wang, C.; Zhang, J.; Yu, P.; Hu, H. The theory of planned behavior as a model for understanding tourists’ responsible environmental behaviors: The moderating role of environmental interpretations. J. Clean. Prod. 2018, 194, 425–434. [Google Scholar] [CrossRef]
- Brucks, M. The effects of product class knowledge on information search behavior. J. Consum. Res. 1985, 12, 1–16. [Google Scholar] [CrossRef]
- Raju, P.S.; Lonial, S.C.; Mangold, W.G. Differential effects of subjective knowledge, objective knowledge, and usage experience on decision making: An exploratory investigation. J. Consum. Psychol. 1995, 4, 153–180. [Google Scholar] [CrossRef]
- Pieniak, Z.; Aertsens, J.; Verbeke, W. Subjective and objective knowledge as determinants of organic vegetables consumption. Food Qual. Prefer. 2010, 21, 581–588. [Google Scholar] [CrossRef]
- Činjarević, M.; Agić, E.; Peštek, A. When Consumers are in Doubt, You Better Watch Out! The Moderating Role of Consumer Skepticism and Subjective Knowledge in the Context of Organic Food Consumption. Zagreb Int. Rev. Econ. Bus. 2018, 21, 1–14. [Google Scholar] [CrossRef] [Green Version]
- Naderi, I.; Paswan, A.K.; Guzman, F. Beyond the shadow of a doubt: The effect of consumer knowledge on restaurant evaluation. J. Retail. Consum. Serv. 2018, 45, 221–229. [Google Scholar] [CrossRef]
- Yefei, L.; Zhibao, S. Statistics, 4th ed.; Tsinghua University Press: Beijing, China, 2019; pp. 25–38. [Google Scholar]
- Gao, Y.; Zhang, X.; Lu, J. Research on adoption behavior of green control techniques by family farms. Resour. Sci. 2017, 39, 934–944. [Google Scholar]
- Wu, W.; Zhou, L.; Chien, H. Impact of Consumer Awareness, Knowledge, and Attitudes on Organic Rice Purchasing Behavior in China. J. Food Prod. Mark. 2019, 25, 549–565. [Google Scholar] [CrossRef]
- Sangwan, S.; Agarwal, P. Effect of consumer self-confidence on information search and dissemination: Mediating role of subjective knowledge. Int. J. Consum. Stud. 2019, 43, 46–57. [Google Scholar]
- Gurbuz, I.B.; Ozkan, G. Consumers’ knowledge, attitude and behavioural patterns towards the liquid wastes (cooking oil) in Istanbul, Turkey. Environ. Sci. Pollut. Res. 2019, 26, 16529–16536. [Google Scholar] [CrossRef]
- MacKenzie, S.B.; Podsakoff, P.M.; Podsakoff, N.P. Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quart. 2011, 35, 293–334. [Google Scholar] [CrossRef]
- Fornell, C.; Larcker, D.F. Structural equation models with unobservable variables and measurement error: Algebra and statistics. In SAGE Publications; Sage CA: Los Angeles, CA, USA, 1981. [Google Scholar]
- Daily, X. The Waste Classification in Xi’an City Has Been Implemented for More Than 20 Days, and the Situation of Public Places Classification Is Not Optimistic. Available online: https://baijiahao.baidu.com/s?id=1644465863691608759&wfr=spider &for=pc (accessed on 5 November 2019).
- Kim, Y. Consumer value: An application to mall and Internet shopping. Int. J. Retail. Distrib. Manag. 2002, 30, 595–602. [Google Scholar] [CrossRef]
Characteristics | Categories | Frequency | % |
---|---|---|---|
Gender | Male | 115 | 48.7 |
Female | 121 | 51.3 | |
Age | under 18 or 18 | 1 | 0.4 |
19–30 | 89 | 37.7 | |
31–40 | 98 | 41.5 | |
41–50 | 28 | 11.9 | |
Over 50 | 20 | 8.5 | |
Family structure | Single | 50 | 21.2 |
Husband and wife | 26 | 11.0 | |
Three-member-family | 97 | 41.1 | |
Family of four | 31 | 13.1 | |
Three Generations under One Roof | 32 | 13.6 | |
Education | High school and below | 89 | 37.7 |
College or university | 72 | 30.5 | |
University graduate | 64 | 27.1 | |
Postgraduate and above | 11 | 4.7 | |
Annual household income (CNY) | Under 100,000 | 128 | 54.2 |
100,000–200,000 | 68 | 28.8 | |
200,000–300,000 | 23 | 9.8 | |
Above 300,000 | 17 | 7.2 |
Questionnaire Items | Mean | Standard Deviation |
---|---|---|
Government publicity | ||
GP1: I see the government publicity of waste classification every day | 3.661 | 1.246 |
GP2: I see the publicity of waste classification in public places | 3.610 | 1.214 |
GP3: I think the government has done a lot to publicize the waste classification. | 4.996 | 1.466 |
Attitude: I think waste classification in household | ||
ATT1: Is wise. | 5.614 | 1.224 |
ATT2: Is a good idea. | 5.763 | 1.172 |
ATT3: Is positive behavior. | 5.703 | 1.140 |
ATT4: Is worthwhile. | 5.581 | 1.166 |
ATT5: Is beneficial. | 5.653 | 1.121 |
Subjective norms | ||
SN1: Most people who are important to me think we should carry out waste classification | 5.267 | 1.255 |
SN2: People in my organization (school, university, company) want to carry out waste classification | 5.182 | 1.280 |
SN3: Most people who are important to me think waste classification is a good thing | 5.521 | 1.215 |
SN4: Most people who I am familiar with think it is useful to carry out waste classification | 5.479 | 1.169 |
Perceived behavioral control | ||
PBC1: It’s easy for me to carry out waste classification. | 4.907 | 1.438 |
PBC2: Carrying out waste classification is a decision that is only up to me. | 4.678 | 1.576 |
PBC3: I am confident that if I want, I can carry out waste classification. | 5.640 | 1.119 |
Consumer knowledge | ||
CK1: Compare to others, I know a lot of about waste classification. | 4.564 | 1.252 |
CK2: I don’t feel very knowledgeable about waste classification. | 3.839 | 1.444 |
CK3: Compare to my friends, I am one of the experts on waste classification. | 3.886 | 1.343 |
CK4: I know pretty much about waste classification. | 4.373 | 1.342 |
Waste classification intention | ||
WCI1: I am willing to classify the waste. | 5.593 | 1.326 |
WCI2: I will suggest others to classify the waste. | 5.415 | 1.329 |
WCI3: I will spend little time in classify the waste. | 2.856 | 1.280 |
WCI4: I think it is troublesome to classify the waste. | 3.360 | 1.539 |
WCI5: When dealing with waste, I am willing to classify according to the rules. | 5.513 | 1.246 |
WCI6: I definitely want to classify the waste in the near future. | 5.597 | 1.179 |
Variables | Items | Cronbach’s α | CR1 | AVE2 |
---|---|---|---|---|
Government publicity | 3 | 0.803 | 0.822 | 0.610 |
Attitude | 5 | 0.880 | 0.886 | 0.612 |
Subjective norms | 4 | 0.865 | 0.861 | 0.608 |
Perceived behavioral control | 3 | 0.742 | 0.746 | 0.500 |
Consumer knowledge | 4 | 0.797 | 0.792 | 0.505 |
Waste classification intention | 6 | 0.901 | 0.906 | 0.620 |
Hypotheses | Estimate | t-Value | Hypothesis |
---|---|---|---|
Hypothesis 1: Government publicity→attitude | 1.127 | 6.621 *** | Supported |
Hypothesis 2: Government publicity→subjective norms | 1.155 | 6.534 *** | Supported |
Hypothesis 3: Government publicity→perceived behavioral control | 1.453 | 6.855 *** | Supported |
Hypothesis 4: Attitude→waste classification intention | 0.478 | 1.972 * | Supported |
Hypothesis 5: Subjective norms→waste classification intention | −0.786 | −1.431 | Not supported |
Hypothesis 6: Perceived behavioral control→waste classification intention | 1.105 | 2.504 * | Supported |
Estimate | S.E. | t-Value | p | |
---|---|---|---|---|
Constant | 0.000 | 0.037 | 0.000 | 1.000 |
Attitude | 0.848 | 0.125 | 6.794 | 0.000 *** |
Consumer knowledge | 0.528 | 0.190 | 2.771 | 0.006 ** |
Attitude*Consumer Knowledge | −0.356 | 0.257 | −1.382 | 0.168 |
Constant | 0.000 | 0.041 | 0.000 | 1.000 |
Subjective norms | 0.810 | 0.131 | 6.181 | 0.000 *** |
Consumer knowledge | 0.457 | 0.178 | 2.570 | 0.011 * |
Subjective norms*Consumer knowledge | −0.348 | 0.256 | −1.359 | 0.176 |
Constant | 0.000 | 0.043 | 0.000 | 1.000 |
Perceived behavioral control | 1.006 | 0.151 | 6.647 | 0.000 *** |
Consumer knowledge | 0.639 | 0.189 | 3.388 | 0.001 ** |
Perceived behavioral control *Consumer knowledge | −0.757 | 0.289 | −2.615 | 0.010 * |
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Tian, M.; Pu, B.; Chen, Y.; Zhu, Z. Consumer’s Waste Classification Intention in China: An Extended Theory of Planned Behavior Model. Sustainability 2019, 11, 6999. https://doi.org/10.3390/su11246999
Tian M, Pu B, Chen Y, Zhu Z. Consumer’s Waste Classification Intention in China: An Extended Theory of Planned Behavior Model. Sustainability. 2019; 11(24):6999. https://doi.org/10.3390/su11246999
Chicago/Turabian StyleTian, Min, Bo Pu, Yini Chen, and Zhian Zhu. 2019. "Consumer’s Waste Classification Intention in China: An Extended Theory of Planned Behavior Model" Sustainability 11, no. 24: 6999. https://doi.org/10.3390/su11246999
APA StyleTian, M., Pu, B., Chen, Y., & Zhu, Z. (2019). Consumer’s Waste Classification Intention in China: An Extended Theory of Planned Behavior Model. Sustainability, 11(24), 6999. https://doi.org/10.3390/su11246999