Page 72 - Special Topic Session (STS) - Volume 1
P. 72
STS364 Elena Z. et al.
multidimensionality of both blocks, it was decided to conduct research on the
following algorithm:
1. Assess the statistical relationships between the indicators of the above
two blocks, determine their feature by groups of countries (use the
methods of correlation analysis and the principal components analysis).
2. Identify the principal components separately in each of the
multidimensional blocks: “IE indicators” and “SDGs indicators”.
3. Using the methods of canonical correlation, assess the degree of
connection between these blocks of indicators and the main
components defining this connection in the composition of the “IE
indicators” and “SDGs indicators” feature spaces (“determinants of
consistency”).
4. Build multifactor regression equations for the impact of indicators that
determine the “determinants of consistency” of informal employment
and SDG indicators on integral target indicators in the SDGs (for
example, Annual growth rate per GDP per capita (v8.1.1) or Annual
growth rate of real GDP per employed person (v8.2.1).
5. Assess the impact of the synergistic effect of interconnection of
informal employment indicators and SDG indicators that form the
"determinants of the consistency" on the integral target indicators.
3. Results
The main result of the implementation of the above algorithm is the
identification and statistical evaluation of the determinants of the consistency
of informal employment indicators and SDG indicators (Table 3). In assessing
the canonical correlation, the first roots were statistically significant. On the
basis of the maximum values of the weight coefficients, the main components
from both blocks forming the canonical interconnection were identified. This
made it possible to build regression models of the mutual influence of
indicators of informal employment and the SDGs, taking into account their
systemic effect on the aggregate indicators characterizing the socio-economic
and environmental sustainability of countries.
61 | I S I W S C 2 0 1 9
