Decomposition and Decoupling Analysis of Industrial Solid Waste in the Yangtze River Economic Belt

Ma, Teli

doi:10.1051/e3sconf/202127502054

Cited by 2 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Madden et al (2019) explored regional variation in the decoupling of waste generation from mean income in Australia, following the waste Kuznet’s curve hypothesis. Teli (2021) analysed the driving factors of industrial solid waste generation in the Yangtze River Economic Belt from 2005 to 2018 and found that regional output effect and population size effect played a role in increasing the pollution. Zhang et al (2021) analysed the socioeconomic drivers and identified the key supply chains that cause industrial solid waste generation changes using monetary input-output tables in China.…”

Section: Methodology and Datamentioning

confidence: 99%

Characteristics of industrial hazardous waste generation in South Korea from 2008 to 2018 based on decoupling and decomposition analysis

2021

View full text Add to dashboard Cite

The industrial hazardous waste (IHW) generation to meet consumption is steadily increasing, resulting in environmental, health, and social problems around the world. To address IHW at the source, it is critical to understand the generation characteristics and key drivers on industrial hazardous waste generation (IHWG). This study analysed the generation characteristics of IHW of South Korea from 2008 to 2018 by decoupling and index decomposition analysis using Log Mean Divisia Index (LMDI) model. South Korea presented unstable decoupling of IHWG from economic growth, so more effective waste management regulations are needed to support a stable decoupling. One most critical finding was that the factors of industrial output and industrial characteristic of IHWG-to-energy were major driving factors influencing the increase of IHWG, whereas those of industrial structure and energy efficiency affect to the decrease of IHWG in most industries. In addition, the result clearly confirmed that the contribution of driving factors affecting the IHWG differs by industry. These results provide significant policy insights that the South Korean government needs institutional improvement and refinement of customised IHW management according to the characteristics of IHWG.

show abstract

Section: Methodology and Datamentioning

confidence: 99%

Characteristics of industrial hazardous waste generation in South Korea from 2008 to 2018 based on decoupling and decomposition analysis

2021

View full text Add to dashboard Cite

show abstract

“…The utilization of industrial land resources is often wasted because of irrational land use structures and low utilization efficiency, resulting in environmental degradation and additional land use for industry [28]. In addition, industrialization also produces substantial amounts of environmentally harmful waste [29]. Industrialization is a vast organization of systems that involves the transportation, mining, manufacturing, and management of industrial wastes [30,31].…”

Section: Determinants Of Ecological Footprintmentioning

confidence: 99%

Determinants of Ecological Footprint: A Quantile Regression Approach

Akyol Özcan

2024

Systems

View full text Add to dashboard Cite

Through the examination of the ecological consequences of human actions, policymakers are able to distinguish certain areas in which resource use can be increased and the generation of waste diminished. This study examines the effects of foreign direct investment, gross domestic product, industrialization, renewable energy consumption, and urban population on the ecological footprints in 131 countries between 1997 and 2020. The objective of this study is to establish a thorough understanding of the relationship between these variables and ecological footprints while considering temporal changes from economic and environmental aspects. The analysis of a substantial dataset encompassing many countries aims to uncover recurring patterns and trends that can provide valuable information for the formulation of policies and strategies pertaining to sustainable development on a global level. The study fills a significant gap in the knowledge on the ecological impact of different variables, providing a nuanced understanding of the interdependencies among these factors, thus guiding sustainable development strategies, and promoting global sustainability. The study utilizes quantile regression analysis, a nonparametric estimator, to estimate consistent coefficients. The statistical analysis reveals that FDI, urbanization, and GDP have statistically significant and positive effects on ecological footprints. Industrialization and renewable energy consumption show significant and negative relationships with ecological footprints. The findings of this study contribute to the understanding of the relationships among these variables and provide insight to inform policy and decision-making efforts focused on reducing ecological consequences and advancing sustainable development goals.

show abstract

Decomposition and Decoupling Analysis of Industrial Solid Waste in the Yangtze River Economic Belt

Cited by 2 publications

References 18 publications

Characteristics of industrial hazardous waste generation in South Korea from 2008 to 2018 based on decoupling and decomposition analysis

Characteristics of industrial hazardous waste generation in South Korea from 2008 to 2018 based on decoupling and decomposition analysis

Determinants of Ecological Footprint: A Quantile Regression Approach

Contact Info

Product

Resources

About