Social assistance does not have a precise definition internationally. For the purposes of the study, it is defined as the range of benefits and services available to guarantee a minimum (however defined) level of subsistence to people in need, based on a test of resources. In some countries a key element of the social safety net comes through non-contributory citizens' benefits or pensions. These are not discussed in detail unless they are also resource-tested. The study also distinguishes between benefits described as `poverty-tested' (that is, aimed at providing a minimum income. which is often regarded as a de facto poverty line) and other income-related or means-tested benefits which may have a different purpose, or are withdrawn at a higher income level. The aims of the study were:
To provide detailed country-by-country descriptions of the structure of social assistance schemes, with data on expenditure and claimant numbers, recent policy developments and proposals. This information is provided mainly in Volume Two
To provide a comparative analysis of trend data: the legal and administrative structures of assistance schemes; and policy debates and issues affecting the development of social assistance
To analyze the comparative value of assistance payments, their components and their implicit incentive structures.
Data Analysis
Correlation Analysis
Correlations
welfare benefits
unemployment
welfare benefits
Pearson Correlation
1
.966**
Sig. (2-tailed)
.000
N
300
300
unemployment
Pearson Correlation
.966**
1
Sig. (2-tailed)
.000
N
300
300
**. Correlation is significant at the 0.01 level (2-tailed).
The above table presents the findings of correlation analysis. The correlation among welfare benefits and unemployment (r = 0.966, p = .000<.05) reported in the table is positive and significantly different from 0 because the p-value of 0.000 is lower than 0.05. Unemployment and welfare benefits is directly proportional as the value of Pearson correlation is close to 1. So, strong relationship exists among the Unemployment and welfare benefits.
Regression Analysis
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
1
.989a
.979
.976
32.15015
.383
a. Predictors: (Constant), welfare benefits
b. Dependent Variable: Unemployment
From the above table it can be observed that the modulus value of Pearson correlation is 0.989 which indicates that a positive relationship exists among the predictors and dependent variable. The value of R square is 0.979 which is close to 1 it depicts that the change in any one of the variable may strongly affect the other variable.
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
1230925.696
44
410308.565
396.958
.000a
Residual
26874.437
256
1033.632
Total
1257800.133
300
a. Predictors: (Constant), welfare benefits
b. Dependent Variable: Unemployment
The value of significance is 0.000 reported in the above table which indicates that the change in predictors may affect the dependent variable.
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
Collinearity Statistics
B
Std. Error
Beta
Tolerance
VIF
1
(Constant)
1288.997
159.649
-8.074
.000
welfare benefits
3.561
.691
.375
5.154
.000
.155
6.446
a. Dependent Variable: Unemployment
Regression Equation
Unemployment = 1288.997 + 3.561* welfare benefits
The shape of histogram is symmetric and the normal probability plot follows 45 degrees line so it can be said the assumption of normality isn't violated.
Discussion
There is growing international interest in selective and targeted approaches to social protection. Research has identified substantial levels of 'new poverty' in EL member countries, partly related to limitations in insurance-based protection in the context of long-term unemployment and social change. The view that high levels of social security expenditure damage economic effort have also become more influential internationally and financial institutions ...