Women play an important role in environmental protection activities, especially in waste management activities. Women are the pioneers and most connected in the movement to reduce waste at sources, thereby they directly reduce the amount of waste discharged into the environment as well as reducing greenhouse gas (GHG) emissions in the field of trash management. In order to help agencies and organizations to quantify the contribution of women in GHG emission reduction along with getting more empirical data on the role and contribution of women in the field of waste management aiming at promoting gender mainstreaming in climate change and disaster risk reduction programs and plans, the Center for Environment and Community Research (CECR) in collaboration with UN Women developed a toolkit that quantifies women’s contribution to GHG emission reductions in waste management, through sorting, collection and waste reduction at sources. This toolkit also helps to assess the potential to reduce waste and GHG from domestic waste, thereby helping to make the local planning of waste management policies more appropriate and effective.
Eligible people to use the toolkit include agencies and organizations implementing waste separation projects/activities at sources; local authorities and policy makers assessing for reduction potential to build appropriate plans and priorities in the field of domestic waste management; research agencies or project formulation units. Based on the calculation formulas, the user unit will estimate the level of GHG emission reduction in three stages: consumption, classification at sources and recycling.
At the consumption stage, the toolkit provides a method to calculate the reduction of greenhouse gas (GHG) emissions when the unit or user replaces conventional single-use plastic products with other substitutes. Research is based on reducing the use of plastic bags, plastic bottles, plastic cups and plastic straws.
At the stage of waste separation at sources, the Research Center assesses the level of GHG emission reduction on the household scale. Data on types of waste segregated at source are obtained from the following two sources: Data from the Plastic-Free Oceans project implemented by CECR in two districts of Son Tra and Thanh Khe, from July to September 2019 and experimental data collected in Da Nang in May 2020. This calculation method uses the unit price of waste collection, transportation and treatment at VND 349,720/ton of garbage to calculate economic benefits for environmental companies by reducing the amount of waste that has to be collected, transported and treated by segregation at sources.
At the recycling stage, the GHG emission reduction calculation method focuses on scrap dealers. Research on calculation method based on survey results in June 2020 for 10 scrap dealers in Da Nang, specializing in scrap collection from streets, restaurants, service agencies, sorting and selling waste materials for recycling facilities.
The data and coefficients used when developing this toolkit are for reference only and may vary according to the conditions of the country, region, culture and specific habits. It is not necessarily quantitatively accurate for a particular project or site. However, the toolkit still provides a relative quantification, helping management agencies, implementing units as well as media and policy-making agencies have information on: – Specific contributions of the working group for GHG emission reduction – Estimating the mitigation potential of projects and programs
– Identifying waste groups with great potential for reduction, to prioritize when developing solutions waste problem.
The first toolkit to calculate the amount of greenhouse gas emission reduction in Vietnam has an important meaning of paving the way, and is a premise for in-depth studies on the field of GHG emission reduction in the future.
See full documentation of the toolkit: https://cecr.vn/download/cong-cu-tinh-toan-su-dong-gop-cua-phu-nu-cho-giam-phat-thai-khi-nha -jing-in-linh-vuc-quan-ly-rac-thai/?wpdmdl=5537&refresh=628c3912efe901653356818