Table 4 Regression results of influencing factors of DSW.

From: Influencing factors and reduction of domestic solid waste at university dormitory in Shanghai, China

Variables

Total waste

Household food waste

Residual waste

1

2

3

4

1

2

ATT

− 0.209*** (− 4.593)

− 0.195*** (− 4.271)

− 0.159*** (− 3.451)

− 0.16*** (− 3.551)

− 0.06 (− 1.288)

− 0.046 (− 0.997)

PBC

− 0.096** (− 2.139)

− 0.089** (− 1.991)

− 0.035 (− 0.775)

− 0.044 (− 1.012)

− 0.102** (− 2.249)

− 0.088 (− 1.954)

SN

0.007 (0.150)

− 0.001 (− 0.032)

0.058 (1.246)

0.053 (1.197)

− 0.044 (− 0.948)

− 0.057 (− 1.252)

Gender

 

− 0.005 (− 0.103)

 

− 0.116** (− 2.472)

 

0.017** (0.355)

Major

 

0.033 (0.696)

 

0.205*** (4.330)

 

− 0.166*** (− 3.433)

Grade

 

0.148*** (3.236)

 

0.14*** (3.112)

 

0.107** (2.334)

Expense

 

0.098** (2.202)

 

0.071 (1.624)

 

0.012 (0.272)

R2

0.048

0.07

0.02

0.094

0.012

0.053

F-statistic

9.107

6.129

4.336

8.080

2.937

4.796

  1. Value is the standardized beta coefficients. t statistics in parentheses.
  2. ***, ** and * stands for the significance at 1%, 5% and 10% levels respectively. 1–6 refers to different regression models, in which the odd number means the regression does not consider personal attributes’ effect, while the even number means the regression considers.