Author
Listed:
- Filì, Tommaso
- Musso, Enrico
- De Anna, Martina
Abstract
This paper presents a planning-focused statistical approach to the measurement and interpretation of environmental pressure in diverse economic systems. The paper concentrates on OECD and BRICS nations during the period 2000-2023, using a distance-based composite indicator and multivariate classification methods to inform evidence-based environmental and industrial planning. Environmental pressure is assessed by a non-compensatory composite index based on carbon dioxide, methane, and nitrate emissions, reflecting structural stress generated by energy consumption, industry, and agriculture. The composite index facilitates longitudinal analysis and cross-national comparison, offering a composite yet policy-useful measure of aggregate environmental pressure. To provide a dynamic perspective, Linear Discriminant Analysis is used to assess whether emission structures distinguish statistically advanced and emerging economies and to specify transition or hybrid patterns. The findings indicate the persistent diversity of institutional categories and the increasingly blurred line between OECD and BRICS nations. Misclassifications are interpreted not as model errors, but as statistically meaningful signals of structural transition and partial convergence in emission profiles. This evidence challenges rigid development-based classifications and supports a continuum-based interpretation of environmental pressure. From a socio-economic planning perspective, the proposed framework enhances statistical measurement for sustainability by linking composite indicators with structural diagnostics. It provides a decision-support tool for identifying transition cases, monitoring convergence processes, and designing differentiated environmental policies aligned with country-specific emission structures rather than institutional labels alone.
Suggested Citation
Filì, Tommaso & Musso, Enrico & De Anna, Martina, 2026.
"Environmental pressure measurement: A composite and discriminant approach,"
Socio-Economic Planning Sciences, Elsevier, vol. 105(C).
Handle:
RePEc:eee:soceps:v:105:y:2026:i:c:s0038012126000893
DOI: 10.1016/j.seps.2026.102502
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