“…On the other hand, Pu et al (2008) found that low-income households are most vulnerable since they are more affected in terms of food and health. John et al (2011) For some studies, the most affected categories were food, health, and education (Wang et al, 2006;San & Chaloupka, 2015;Masa et al, 2020), but in some cases, the crowding-out also occurred in categories such as recreation, transportation, communication, housing, clothing, and financial security (Wang et al, 2006;Husain et al, 2018;Masa et al, 2020). However, a crowding-in effect is also possible, as Husain et al (2018) found; this crowding-in was in food and health, while others found it in alcohol (Masa et al, 2020;Nguyen & Nguyen, 2020;Paraje & Araya, 2017;Wang et al, 2006).…”