TY - JOUR
T1 - Exploring essential factors to improve waste-to-resource recovery
T2 - A roadmap towards sustainability
AU - Yu, Zhang
AU - Khan, Syed Abdul Rehman
AU - Ponce, Pablo
AU - Zia-ul-haq, Hafiz Muhammad
AU - Ponce, Katerine
N1 - Publisher Copyright:
© 2022
PY - 2022/5/20
Y1 - 2022/5/20
N2 - 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.
AB - 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.
KW - Environmental technology
KW - Quantile regression
KW - Sustainable development
KW - Waste management
KW - Waste recovery
UR - http://www.scopus.com/inward/record.url?scp=85126958439&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2022.131305
DO - 10.1016/j.jclepro.2022.131305
M3 - Article
AN - SCOPUS:85126958439
SN - 0959-6526
VL - 350
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 131305
ER -