Empirical Study on Recycling Used Paper Boxes from Online Shopping in China

  • Mustakim Melan Disaster Management Institute (DMI), School of Technology Management and Logistics, College of Business, Universiti Utara Malaysia
  • Mohamad Ghozali Hassan Disaster Management Institute (DMI), School of Technology Management and Logistics, College of Business, Universiti Utara Malaysia
  • Zhao Hui Wu Baise University, Baise, Guangxi China
  • Ying Tang Baise University, Baise, Guangxi China


Online shopping is the most popular transaction, where the estimated transaction online is approximately USD 1.9 Trillion with an average growth from 8 -12% every year. Online shopping leads to huge consumption of paper boxes. Since, when the buyers receive the goods, they normally destroyed the paper boxes, throwing them away into a dust bin, and some were kept for nothing. Those papers wasted cause environmental impacts, huge organizational costs, and unnecessary spaces are wasted. The study investigates on activities of returning the used paper boxes through online shopping among university students in China by underpinning the Theory of Reasoned Action (TRA). The survey was conducted among 24 public universities in Guangxi, China, with 401 questionnaires accepted for analysis. The study employed regression analysis to test the hypotheses. Both independent variables have a significant relationship to return the paper wasted boxes from online shopping. This paper has its methodology contribution since a rare study focuses on all the bachelor degree students in public universities in Guangxi, China.


Aini, M. ., Fakhru'l-Razi, A., Lad, S. M., & Hashim, A. . (2002). Practices, attitudes and motives for domestic waste recycling. International Journal of Sustainable Development & World Ecology, 9(3), 232–238. https://doi.org/10.1080/13504500209470119
Ajzen, I., & Fishbein, M.. (1975). A bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261-277.
Byrne, B. M. (2010). Structural Equation Modeling with AMOS: Basic concept applications and programming (2nd edition) New York: Routledge.34
Botetzagias, I., Dima, A., & Malesios, C. (2014). Extending the Theory of Planned Behavior in the context of recycling : The role of moral norms and of demographic predictors. Resources, Conservation & Recycling, 95(2015), 58–67. https://doi.org/10.1016/j.resconrec.2014.12.004
Brown, T. A. (2006). Confirmatory Factor Analysis for applied research, 1st edition. (Methodology in social sciences) paperback –SBN-13: 978-1593852740 ISBN 10: 1593852746
Conner, M., & Armitage, C. J. (1998). Extending the Theory of Planned Behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28(15), 1429–1464. https://doi.org/10.1111/j.1559-1816.1998.tb01685.x
Cooper, D. R., & Schindler, P. S. (2003). Business Research Methods. 8thed. McGraw-Hill, NewYork.
Compeau, D, R., Higgins, C., A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology. A Longitudinal-study. MIS Quarterly, 23(2), 145-158.
Chang Cheng, Cheng Xing, Wu Jing & Liu Yangcheng (2017), The Feasibility and The Strategies on How to Process Express Package Waste in Mass around The City, China Business and Market, 2017,4(12):179-189.
Chu, P.-Y., & Chiu, J.-F. (2003). Factors influencing household waste recycling behavior: Test of an integrated Model. Journal of Applied Social Psychology, 33(3), 604–626. https://doi.org/10.1111/j.1559-1816.2003.tb01915.x
Das, K. and Chowdhury, A.H. (2012) Designing a Reverse Logistics Network for Optimal Collection, Recovery and Quality-Based Product-Mix Planning. International Journal of Production Economics, 135, 209-221.
Dixit, S., & Badgaiyan, A. J. (2016). Towards improved understanding of reverse logistics – Examining mediating role of return intention. Resources, Conservation and Recycling, 107, 115–128. https://doi.org/10.1016/j.resconrec.2015.11.021
Echegaray, F., & Hansstein, F. V. (2017). Assessing the intention-behavior gap in electronic waste recycling: the case of Brazil. Journal of Cleaner Production, 142, 180–190. https://doi.org/10.1016/j.jclepro.2016.05.064
Fan Guicai (2013), Research on the mode of operation of telecommunication terminals material reverse logistics of JX Telecommunications Company, Master These, University NanChang.
Gao Ying (2018), Research on Recycling Self-run E-commerce' Parcel Carton Strategy Selection Considering Customer Behavior, Master Dissertation, Beijing Jiaotong University.
Hair, J., Black, F., William, C., Anderson, R., & Rolph, E. (2006). Multivariate Data Analysis,7th edition.
Husnil Khatimah (2016), Consumer's Intention to Use E-Money Mobile Using the Decomposed Theory of Planned Behvior. Doctor Thesis, University Utara Malaysia.
Thorndike, R. M., Cunning, G. K., Thorndike, R. L., & Hagen, E. P. (1991). Measurement and Evaluation in Psychology and Education. New York. Macmillan Publishing Company.
Jindal, A., & Sangwan, K. S. (2011). Development of an interpretive structural model of barriers to reverse logistics implementation in Indian industry. In Glocalized solutions for sustainability in manufacturing (pp. 448-453). Springer, Berlin, Heidelberg.
Kui MingMing (2009), The Study on Network Planning of Reverse Logistics, Master Dissertation, Xiamen University China.
Knussen, C., Yule, F., MacKenzie, J., & Wells, M. (2004). An analysis of intentions to recycle household waste: The roles of past behaviour, perceived habit, and perceived lack of facilities. Journal of Environmental Psychology, 24(2), 237–246. https://doi.org/10.1016/j.jenvp.2003.12.001
Kaiser, H. F (1958). The varimax criteria for analysis rotation in factor analysis. Psychometrika, 23(3), 187-200.
Luo Jie (2006), The Development of Reverse Logistics, Xian Dai Shang Ye, 2006, 10 14-15.
Latif, S. A., & Omar, M. S. (2012). Recycling behaviour in Tioman island: A case study. Procedia - Social and Behavioral Sciences, 36(June 2011), 707–715. https://doi.org/10.1016/j.sbspro.2012.03.077
Moons, I., & De Pelsmacker, P. (2015). An extended decomposed theory of planned behaviour to predict the usage intention of the electric car: A multi-group comparison. Sustainability (Switzerland), 7(5), 6212–6245. https://doi.org/10.3390/su7056212
Mahmud, S. N. D., & Osman, K. (2010). The determinants of recycling intention behavior among the Malaysian school students: an application of theory of planned behaviour. Procedia - Social and Behavioral Sciences, 9, 119–124. https://doi.org/10.1016/j.sbspro.2010.12.123
Mayer, J. D. (1999). Emotion intelligence: Popular or scientic pyschology? APA Monitor, 30, 50.
Nunnally, J. C. (1970). Introduction to Psychological Measurement. New York McGraw-Hill.
Nduneseokwu, C., Qu, Y., & Appolloni, A. (2017). Factors influencing consumers' intentions to participate in a formal E-waste collection system: A case study of Onitsha, Nigeria. Sustainability, 9(6), 881. https://doi.org/10.3390/su9060881
Omotayo, A., & Melan, M. (2017). Factors influencing the information and communication technology (ICT) of third party logistics in malaysia. International Journal of Supply Chain Management, 6(2), 202-208.
Pallant, J. (2011). SPSS Survival Manual: A step by step guide to data analysis using SPSS.4thEdition. Berkshire: McGraw-Hill Education.
Ramayah, T., Lee, J. W. C., & Lim, S. (2012). Sustaining the environment through recycling: An empirical study. Journal of Environmental Management, 102, 141–147. https://doi.org/10.1016/j.jenvman.2012.02.025
Rhodes, R. E., Beauchamp, M. R., Conner, M., de Bruijn, G.-J., Kaushal, N., & Latimer-Cheung, A. (2015). Prediction of depot-based specialty recycling behavior using an extended Theory of Planned Behavior. Environment and Behavior, 47(9), 1001–1023. https://doi.org/10.1177/0013916514534066
Statistics of Post Operation in China, Government Report, Retrieved at: http://www.spb.gov.cn/xw/dtxx_15079/201901/t20190116_1746179.html
Sidique, S. F., Lupi, F., & Joshi, S. V. (2010). The effects of behavior and attitudes on drop-off recycling activities. Resources, Conservation and Recycling, 54(3), 163–170. https://doi.org/10.1016/j.resconrec.2009.07.012
Statista(2019) Online shopping in China ; https://www.statista.com/aboutus/our-research-commitment
Statistics Solutions (2020), Testing Assumptions of Linear Regression in SPSS, Retrieved at: https://www.statisticssolutions.com/.
Sekaran, U. (2003). Research Business Methods: A skill building approach (3rd ed.). United States of America: John Wiley and Sons, Inc.
Tang, Z., Chen, X., & Luo, J. (2011). Determining Socio-Psychological Drivers for Rural Household Recycling Behavior in Developing Countries. Environment and Behavior, 43(6), 848–877. https://doi.org/10.1177/0013916510375681
Wan, C., Cheung, R., & Shen, G. Q. (2012). Recycling attitude and behaviour in university campus: a case study in Hong Kong. Facilities, 30(13/14), 630–646. https://doi.org/10.1108/02632771211270595
Wu Siyu (2017), The Cost and The Strategies on Express Package Recycling, Market Modernization, 2017(12):53-55.
XIONG, Z. K., GENG, L. J., & NIE, J. J. (2011). An Evaluation Model and Algorithm of Reverse Logistics Provider Based on FCM Method. Journal of Industrial Engineering and Engineering Management, 1.
Worldmeter (2019).Total population in China, https://www.worldometers.info/world-population/china-population/
Zhao Dong-qing (2018), The reseach of the package of cargo in post service on E-commerce, China Academic Journal Electronic Publishing House. Vol. 2018.12.005
Zhao Teng-fei & Ma Tian-yuan (2018), The Appearing of Green Logistics, People's Daily Overseas Edition 03, April, 2018. Retrieved at: http://www.cssn.cn/zx/shwx/shhnew/201804/t20180403_3896368.shtml
Zhang Jun (2018), Discussion on the feasibility of bamboo shared express boxes, Logistics Sci-Tech, No.8, 2018
How to Cite
MELAN, Mustakim et al. Empirical Study on Recycling Used Paper Boxes from Online Shopping in China. Global Business Management Review, [S.l.], v. 13, n. 1, p. 1-15, june 2021. ISSN 2600-8416. Available at: <http://e-journal.uum.edu.my/index.php/gbmr/article/view/gbmr2021.13.1.1>. Date accessed: 07 dec. 2021. doi: https://doi.org/10.32890/gbmr2021.13.1.1.