Global Economic Futures Competitiveness in 2030 2025
Page 27 of 35 · WEF_Global_Economic_Futures_Competitiveness_in_2030_2025.pdf
Appendices
A1 Methodology
The industry implications analysis in Chapter
3 evaluates the exposure of 12 sectors to the
regulatory and geopolitical trends outlined in the
four scenarios in Chapter 2. This evaluation results
in an “industry impact matrix” visualized as a
heat map, which provides a high-level snapshot
of potential headwinds and tailwinds for sectoral output and competitiveness for each scenario.
The analysis also draws on qualitative consultations
with senior industry executives to contextualize
the findings.
The industry impact matrix was constructed using
a three-step process:
1
Dimension and indicator selection
Nine dimensions, reflecting enabling
and constraining factors within
the scenarios, were chosen to
capture key aspects of industry
performance influenced by regulatory
and geopolitical dynamics. These
dimensions, along with their rationale
and the indicators used to measure
them across the 12 sectors, are
summarized in Table 4. Min-max
normalization was applied to convert
all indicator values into a unitless score
between 0 and 1.2
Dimension-scenario coefficients
Each dimension was assigned a
multiplier coefficient ranging from –
1 to 1 for each of the scenarios,
reflecting the expected direction and
intensity of correlation between the
dimension and business performance in
that scenario (see Table 3). For example,
the multiplier coefficient of “1” for the
share of foreign workers dimension
in the Fortress Economics scenario
represents a strong negative correlation
between industries’ reliance on foreign
workers and their performance in
the future shaped by high regulatory
stringency and high geopolitical volatility.3
Aggregation
Normalized indicator values for
each sector were multiplied by the
dimension scenario coefficients. The
summed results for each sector were
then categorized according to the
following thresholds to produce the
heat map presented in Table 1
in Chapter 3.
>1 Higher potential tailwinds
0.25 to 1 Potential tailwinds
-0.25 to 0.25 Uncertain or inconclusive impact
-1 to -0.25 Potential headwinds
<-1 Higher potential headwinds
Direction and degree of indicator correlation with industry performance across scenarios TABLE 3
DimensionFortress
EconomicsNegotiated
OrderSurvival of
the FastestFluid
Order
Reliance on foreign workers -1 -0.5 -0.5 1
FDI intensity -0.5 0.5 0.5 1
Export intensity -1 0.5 -1 1
Vulnerability to cross-border technology restrictions -1 0 -1 0.5
Domestic value added 1 0.5 0.5 0
Intensity of government support 1 0.5 0.5 0
Regulatory maturity 0.5 1 0 0.5
Firms churn rate -1 -1 0.5 0.5
Profit margin 1 0.5 1 0.5
Source: World Economic Forum and Accenture.
Global Economic Futures: Competitiveness in 2030 27
Ask AI what this page says about a topic: