Open Access
Open access
volume 350 pages 131305

Exploring essential factors to improve waste-to-resource recovery: A roadmap towards sustainability

Yu Zhang 1
Syed A Khan 2, 3
Pablo Ponce 4, 5
Hafiz Muhammad Zia Ul Haq 6
Katerine Ponce 7
Publication typeJournal Article
Publication date2022-05-01
scimago Q1
wos Q1
SJR2.174
CiteScore20.7
Impact factor10.0
ISSN09596526, 18791786
Industrial and Manufacturing Engineering
Renewable Energy, Sustainability and the Environment
General Environmental Science
Strategy and Management
Abstract
The increasing amount of waste generation and its adverse environmental effects have become a crucial challenge for the global authorities. Under ecological modernization theory and the circular economy model, resource recovery from waste streams emerges as a practical solution depending on the efficient waste management system. The present research explores potential macroeconomic determinants of waste recovery in the Organization of Economic Co-operation and Development countries, covering data from 1995 to 2019. A set of econometric techniques are employed to control the cross-sectional dependence among different variables. Next, the Method of Moments Quantile Regression is applied to analyze the long-term equilibrium relationship of waste recovery with environmental technology, renewable energy consumption, economic growth, globalization, and industrialization. Empirical results reveal the significant influence of targeted variables on waste recovery. Specifically, this study contributes by reporting the positive roles of environmental technology and renewable energy consumption in enhancing waste-to-resource recovery performance. Our findings provide several policy implications for the authorities to promote waste management and recovery towards achieving sustainability . • Environmental technology contributes to waste recovery. • There is heterogeneity in the waste recovery's conditional distribution. • The location-scale effect supports the waste recovery's heterogeneity. • Second generation tests are used to control the cross-sectional dependence. • When compared to other methods, Moments Quantile Regression yields better results.
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GOST Copy
Zhang Yu. et al. Exploring essential factors to improve waste-to-resource recovery: A roadmap towards sustainability // Journal of Cleaner Production. 2022. Vol. 350. p. 131305.
GOST all authors (up to 50) Copy
Zhang Yu., Khan S. A., Ponce P., Zia Ul Haq H. M., Ponce K. Exploring essential factors to improve waste-to-resource recovery: A roadmap towards sustainability // Journal of Cleaner Production. 2022. Vol. 350. p. 131305.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.jclepro.2022.131305
UR - https://doi.org/10.1016/j.jclepro.2022.131305
TI - Exploring essential factors to improve waste-to-resource recovery: A roadmap towards sustainability
T2 - Journal of Cleaner Production
AU - Zhang, Yu
AU - Khan, Syed A
AU - Ponce, Pablo
AU - Zia Ul Haq, Hafiz Muhammad
AU - Ponce, Katerine
PY - 2022
DA - 2022/05/01
PB - Elsevier
SP - 131305
VL - 350
SN - 0959-6526
SN - 1879-1786
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Zhang,
author = {Yu Zhang and Syed A Khan and Pablo Ponce and Hafiz Muhammad Zia Ul Haq and Katerine Ponce},
title = {Exploring essential factors to improve waste-to-resource recovery: A roadmap towards sustainability},
journal = {Journal of Cleaner Production},
year = {2022},
volume = {350},
publisher = {Elsevier},
month = {may},
url = {https://doi.org/10.1016/j.jclepro.2022.131305},
pages = {131305},
doi = {10.1016/j.jclepro.2022.131305}
}