E3S Web Conf.
Volume 74, 2018International Conference Series on Life Cycle Assessment: Life Cycle Assessment as A Metric to Achieve Sustainable Development Goals (ICSoLCA 2018)
|Number of page(s)||5|
|Published online||12 December 2018|
How does household characteristics influence their waste management?
Faculty of Economics and Business, Universitas Indonesia
* Corresponding author: email@example.com
The amount of waste generated is ever-increasing due to population growth, however adequate waste management has never been a focus in everyday life. The action of the household as the beginning stage of waste management is also crucial. How households manage their waste is also influenced by their socio-economic characteristics. This study aims to investigate household characteristics that influence their waste management. This study employed the Indonesian Family Life Survey 2014 data using probit regression method. The result shows that location significantly affect waste management behaviour which households in urban areas hold higher probability to manage their waste compared to those in rural areas. The level of education and knowledge also have positive impact on household’s waste management. The level of income also positively affect waste management behaviour of households. Demographic variables such as age and gender are significant and indicate that women and older people have better waste management compared to men and younger people. These results support the hypothesis that household’s waste management behaviour is significantly influenced by their characteristics.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.