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Table 4 The effects of the state of emergency and ambient population on crime

From: Measuring the impact of the state of emergency on crime trends in Japan: a panel data analysis

 

Residential burglary

 

Model 1

Model 2

Model 3

Model 4

 

B

S.E.

B

S.E.

B

S.E.

B

S.E.

Trend

- 0.004

0.011

0.012

0.011

 -0.015

0.011

- 0.008

0.012

Temperature

 -0.038

0.011***

- 0.029

0.011*

 -0.021

0.011†

- 0.026

0.012*

State of Emergency

        

 SoE period

  

-0.002

0.049

  

0.134

0.074†

 SoE period x intensity

  

 -0.180

0.064**

  

- 0.047

0.074

Ambient population

        

 Residential

    

- 0.030

0.010**

- 0.028

0.011*

 Transit stations

    

 -0.006

0.004

 -0.004

0.004

 Retail and recreation

    

0.000

0.004

0.001

0.005

 Grocery and pharmacy

    

0.015

0.007*

0.015

0.007*

Constant

9.871

34.110

33.833

35.216

43.645

35.055

19.762

38.294

Log Likelihood

- 2025.79

 

-2017.98

 

-2010.24

 

-2008.57

 

AIC

4057.57

 

4045.97

 

4034.48

 

4035.14

 

BIC

4072.40

 

4070.68

 

4069.07

 

4079.61

 
 

Commercial burglary

 

Model 1

Model 2

Model 3

Model 4

 

B

S.E.

B

S.E.

B

S.E.

B

S.E.

Trend

- 0.025

0.011*

- 0.008

0.011

- 0.031

0.011**

 -0.025

0.012*

Temperature

- 0.019

0.011†

 -0.040

0.011***

-0.022

0.011*

- 0.027

0.012*

State of Emergency

        

 SoE period

  

0.308

0.048***

  

0.181

0.075*

 SoE period x intensity

  

 -0.165

0.062**

  

- 0.231

0.073**

Ambient population

        

 Residential

    

0.004

0.010

0.016

0.011

 Transit stations

    

 -0.009

0.004*

 -0.003

0.004

 Retail and recreation

    

0.002

0.004

0.000

0.005

 Grocery and pharmacy

    

0.015

0.007*

0.017

0.007*

Constant 

66.444

34.378

13.740

35.424

83.586

34.806

67.190

38.207

Log Likelihood

 -2253.43

 

2231.75

 

-2230.08

 

-2223.27

 

AIC

4512.86

 

4473.51

 

4474.16

 

4464.54

 

BIC

4527.68

 

4498.21

 

4508.75

 

4509.01

 
 

Theft from/of vehicle

 

Model 1

Model 2

Model 3

Model 4

 

B

S.E.

B

S.E.

B

S.E.

B

S.E.

Trend

 -0.010

0.008

0.007

0.009

 -0.010

0.008

- 0.004

0.009

Temperature

 -0.016

0.008†

- 0.036

0.009***

-0.021

0.008*

 -0.026

0.009**

State of Emergency

        

 SoE period

  

0.213

0.035

  

0.125

0.057*

 SoE period x intensity

  

- 0.034

0.046

  

-0.066

0.053

Ambient population

        

 Residential

    

0.003

0.008

0.006

0.008

 Transit stations

    

 -0.006

0.003†

 -0.003

0.003

 Retail and recreation

    

 -0.002

0.003

 -0.001

0.004

 Grocery and pharmacy

    

0.015

0.006**

0.015

0.006**

Constant  

18.915

26.462

 -34.538

27.012

21.052

26.347

0.945

28.783

Log Likelihood

-2725.55

 

 -2698.97

 

-2694.22

 

-2691.36

 

AIC

5457.10

 

5407.94

 

5402.44

 

5400.72

 

BIC

5471.92

 

5432.65

 

5437.03

 

5445.19

 
 

Bicycle theft

 

Model 1

Model 2

Model 3

Model 4

 

B

S.E.

B

S.E.

B

S.E.

B

S.E.

Trend

 -0.036

0.007***

- 0.054

0.007***

0.050

0.007***

-0.047

0.008***

Temperature

0.006

0.007

0.026

0.007***

0.033

0.007***

0.031

0.007***

State of Emergency

        

 SoE period

  

 -0.184

0.035***

  

0.009

0.050

 SoE period x intensity

  

-0.100

0.044*

  

0.077

0.050

Ambient population

        

 Residential

    

 -0.023

0.007**

-0.028

0.008***

 Transit stations

    

- 0.006

0.003*

 -0.007

0.003*

 Retail and recreation

    

0.005

0.003†

0.007

0.003*

 Grocery and pharmacy

    

0.035

0.005***

0.034

0.005***

Constant  

107.380

23.199

163.602

22.508

153.065

21.964

142.711

24.333

Log Likelihood

-3338.23

 

 -3286.16

 

 -3223.70

 

-3222.36

 

AIC

6682.46

 

6582.32

 

6461.41

 

6462.72

 

BIC

6697.28

 

6607.02

 

6496.00

 

6507.19

 
 

Sexual assault

 

Model 1

Model 2

Model 3

Model 4

 

B

S.E.

B

S.E.

B

S.E.

B

S.E.

Trend

0.011

0.020

 -0.036

0.021†

-0.021

0.020

 -0.029

0.022

Temperature

0.005

0.020

0.032

0.021

0.026

0.021

0.030

0.021

State of Emergency

        

 SoE period

  

-0.127

0.097

  

 -0.023

0.138

 SoE period x intensity

  

- 0.236

0.120†

  

- 0.250

0.137

Ambient population

        

 Residential

    

0.001

0.020

0.014

0.021

 Transit stations

    

0.009

0.007

0.011

0.008

 Retail and recreation

    

0.000

0.008

- 0.005

0.008

 Grocery and pharmacy

    

0.008

0.013

0.009

0.013

Constant  

21.603

63.175

99.634

64.165

54.831

63.769

80.185

67.800

Log Likelihood

1-064.61

 

- 1053.81

 

-1054.60

 

- 1052.66

 

AIC

2135.21

 

2117.62

 

2123.20

 

2123.32

 

BIC

2150.04

 

2142.33

 

2157.79

 

2167.79

 
 

Violence and injury

 

Model 1

Model 2

Model 3

Model 4

 

B

S.E.

B

S.E.

B

S.E.

B

S.E.

Trend

- 0.005

0.007

 -0.009

0.007

- 0.014

0.007*

- 0.016

0.007*

Temperature

0.000

0.006

0.005

0.007

0.011

0.007

0.012

0.007†

State of Emergency

        

 SoE period

  

0.029

0.029

  

0.003

0.044

 SoE period x intensity

  

- 0.140

0.038***

  

0.100

0.042*

Ambient population

        

 Residential

    

0.013

0.006*

 -0.008

0.007

 Transit stations

    

 -0.009

0.002***

- 0.008

0.003**

 Retail and recreation

    

0.006

0.002*

0.004

0.003†

 Grocery and pharmacy

    

0.013

0.004**

0.014

0.004**

Constant  

3.285

20.330

17.746

21.008

31.259

20.510

38.621

21.968

Log Likelihood

-2657.95

 

- 2648.60

 

2637.59

 

-2634.71

 

AIC

5321.91

 

5307.19

 

5289.18

 

5287.42

 

BIC

5336.73

 

5331.90

 

5323.77

 

5331.89

 
  1. ***:p < .001, **:p < .01, *:p < .05, : †p <.10
  2. Number of observations = 1034; number of prefectures = 47; number of weeks = 22