Multiple Linear Regression - Effectiveness of Door-to-Door Bio-Waste Collection in Driving Sorting of Dry Recyclables

We hypothesise that implementing door-to-door bio-waste collection system is positively associated with increasing the amounts of dry recyclables collected, and that this effect is more significant compared to alternative waste collection systems. Our research shows that this hypothesis holds when running Multiple Linear Regression (MLR) analysis using R programming language, when controlling for six waste management system related variables (PAYT system, glass bring points, metal bring points, door-to-door paper collection, door-to-door plastic collection and number of other collection systems) as well as seven additional socio-economic and political factors (such as population, population density, ratio of well-informed citizens, governing party’s position on the environment, trust in local government, material and social deprivation ratio and GDP per capita). The dataset is assembled of data from various sources which are referenced in the excel file with extended data. The R code and R data file used to construct MLR models in Table 1 and Table 2 are also provided.