Determinants of household’s waste disposal practices and willingness to participate in reducing the flow of plastics into the ocean: Evidence from coastal city of Lagos Nigeria

Submitted by Agha Inya on

Marine plastic pollution is a critical environmental challenge facing policymakers globally. To reduce marine plastic pollution by engaging the people, this study estimated the determinants of waste disposal approach by households, their willingness to participate in road gutters/drainage channels cleanup program and the number of man-days they are willing to contribute. The study used a total of 600 households drawn from 30 enumeration areas. A semi-structured questionnaire was employed in data collection.

Waste, Water

A review of water-forest-energy-food security nexus data and assessment of studies in East Africa

Submitted by Jane Nyawira Maina on
EfD Authors:

The increasing scarcity of environmental resources and competition among forest, water, food and energy coupled with the ever-growing population and climate change pose a serious threat to natural ecosystems. In an effort to provide an integrated approach towards forest conservation as well as energy, water and food security within the broader context of climate change and variability, this study sought to undertake a literature and data review to provide a critical analysis and synthesis of the baseline and trends of the forest- water-food- energy security nexus in East Africa.

Agriculture, Energy, Forestry, Water

The effect of forest land use on the cost of drinking water supply: machine learning evidence from South African data

Submitted by Michelle Blanc… on
EfD Authors:

Water quality amelioration is one of the key ecosystem services provided by forests in the catchment areas of water supply systems. In this study, we applied random effect models and the least absolute shrinkage and selection regression method of machine learning to South African panel data to estimate the causal effect of natural forest cover on municipalities’ water treatment cost. We controlled for a range of confounding covariates including other land cover variables including wetlands, plantation forests, grassland, woodland etc.

Forestry, Land, Water