USING PLS-SEM TECHNIQUE IN ASSESSING INTEGRATED SUSTAINABLE WASTE MANAGEMENT FRAMEWORK IN ABUJA, NIGERIA

Öz

Anahtar Kelimeler

• recycling
• reduce, reuse,

USING PLS-SEM TECHNIQUE IN ASSESSING INTEGRATED SUSTAINABLE WASTE MANAGEMENT FRAMEWORK IN ABUJA, NIGERIA

Öz

Abstract: Dwindling spaces for landfills in cities today has necessitated developing new ways of sustainably managing solid waste. However, sustainable waste management is guaranteed by adopting widespread recycling programmes such as integrated solid waste management systems (ISWM) that embraces 3Rs (reduce, reuse and recycle). Within the preceding context, this study is borne out and aimed at determining the impact of these 3Rs on long-term solid waste management. The study’s goals are based on the hypothesis that the 3Rs positively impact long-term solid waste management. In the light of the preceding, this research creates a theoretical structural model that depicts the impact of these 3Rs variables on Sustainable Solid Waste Management in Nigeria. Data were collected from 178 respondents, including waste management officers, organisations, and Abuja citizens. The obtained data were statistically measured with the Partial Least Square; Structural Equation Model (PLS-SEM 2.0). Cronbach’s alpha values for the variables were higher than the industry standard of 0.7, indicating that the research instrument was reliable. With t-values of 2.182 and 7.435, respectively, waste reduction and waste recycling were strongly related to the sustainable management of solid waste except for reuse, which did not support sustainable solid waste management. All hypotheses were shown to be noteworthy at the 10% significance level. Thus, waste reuse, by implication, failed social acceptability. In contrast,waste recycling is acceptable and supportsthe concept of waste to wealth. The more the reduction of wastes, the most efficient and effective sustainable solid waste management is achievable.

Anahtar Kelimeler

• reuse
• reduce
• solid waste

Kaynakça

1. Akter, S., D’Ambra, J. & Ray, P. (2011). “Trustworthiness in Health Information Services: An Assessment of a Hierarchical Model with Mediating and Moderating Effects using Partial Least Squares (PLS)”, Journal of the AmericanSociety for Information Science andtechnology, 62(1): 100-116. Awomeso, J. A., Taiwo, A. M., Gbadebo, A. M., & Arimoro, A. O. (2010). “Waste disposal and pollution management in urban areas: a workable remedy for the environment in developing countries”, American Journal of Environmental Sciences, 6(1): 26-32.
2. Brito, J., & Saikia, N. (2013). Recycled aggregate in concrete, green energy and technology. London: Springer-Verlag. doi, 10: 978-1.
3. Chin, W. W. (1998). Commentary: Issues and Opinion on Structural Equation Modeling. MIS Quarterly, 22: 7-16.
4. Chin, W. W. (2010). How to write up and report PLS analyses, in Handbook of Partial Least Squares: Concepts, Methods and Application. Esposito Vinzi, V.; Chin, W.W.; Henseler, J.; Wang, H. (Eds.), Springer, Germany, 645-689.
5. Cohen, L., Manion, L. And Morrison, K. (2007), Research Methods in Education Sixth edition ROUTLEDGE, Taylor & Francis Group.
6. Davidson, G. (2011). “Waste Management Practices”. Retrieved on January 10,2015 from http://www.dal.ca/content/dam/dalhousie/pdf/sustainability/Waste%20 Management%20Literature%20Review%20Final%20June%202011%20(1.49%20MB), Retrieved: 10.6.2021. de Campos, V. A. F., Silva, V. B., Cardoso, J. S., Brito, P. S., Tuna, C. E., & Silveira, J. L. (2021). A review of waste management in Brazil and Portugal: Waste-to-energy as pathway for sustainable development. Renewable Energy.
7. EEA (2017). “Waste recycling. Denmark: European Environment Agency (EEA)” Available: https://www.eea.europa.eu/data‐and‐maps/indica-tors/waste‐recycling‐1/assessment, Retreived: 10.6.2021. Esin, T, Cosgun, N. (2007). “A study conducted to reduce construction waste generation in Turkey”, Building and Environment, 42(4): 1667-1674.
8. Ezeah, C., & Roberts, C. L. (2012). Analysis of barriers and success factors affecting the adoption of sustainable management of municipal solid waste in Nigeria. Journal of environmental management, 103, 9-14. Geisser, S. (1974). “A predictive approach to the random effect model. Biometrika”, 61: 101-107. Gören, S. (2015). “Sustainable waste management”. In Handbook of research on developing sustainable value in economics, finance, and marketing (pp. 141-156). IGI Global.

9. Hanssell, S., Wong, A., Houser, A., Knopman, D., & Bernstein, M. (2003). Building Better Homes: Goverment Strategies for promoting Innovation in Housing. Santa Monica: US Department of Housing and Urban Developement (HUD), Office of Policy Developement and Reearch and the Partners for Advancing Technology in Housing (PATH).
10. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis: A Global Perspective (Seventh Edition ed.). Upper Saddle River, New Jersey: Person Education Inc.
11. Hair, J., Celsi, M., Money, A., Samouel, P., & Page, M. (2011). Essentials of business research methods (2nd edition ed.): ME Sharpe Inc.
12. Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). “An assessment of the use of partial least squares structural equation modeling in marketing research”, Journal of the Academy of Marketing Science, 40: 414-433.