قارن الطرق

	تحليل تدفق المواد (MFA)	محاسبة البصمة البيئية	تحليل التفكيك باستخدام مؤشر لوغاريتم المتوسط (LMDI)
المجال	الاستدامة	الاستدامة	الاستدامة
العائلة	Process / pipeline	Process / pipeline	Regression model
سنة النشأة	2004	1996	2005
صاحب الطريقة	Brunner & Rechberger	Mathis Wackernagel & William Rees	B. W. Ang
النوع	Quantitative systems accounting method	Environmental accounting indicator	Index-based factor decomposition
المصدر التأسيسي	Brunner, P. H., & Rechberger, H. (2004). Practical Handbook of Material Flow Analysis. Lewis Publishers. ISBN: 978-1-56670-604-9	Wackernagel, M., & Rees, W. (1996). Our Ecological Footprint: Reducing Human Impact on the Earth. New Society Publishers. ISBN: 978-0-86571-312-3	Ang, B. W. (2005). The LMDI approach to decomposition analysis: a practical guide. Energy Policy, 33(7), 867–871.
الأسماء البديلة	Substance Flow Analysis, Bulk-MFA, Material Flux Analysis, Malzeme Akış Analizi	EFA, Ecological Footprint Analysis, Biocapacity Accounting, Ekolojik Ayak İzi	Logarithmic Mean Divisia Index, LMDI-I Additive Decomposition, LMDI-II Multiplicative Decomposition, Logaritmik Ortalama Divisia İndeksi
ذات صلة	3	2	2
الملخص	Material Flow Analysis (MFA) is a systematic method for quantifying the flows and stocks of materials within a defined system boundary over a specified time period. Introduced comprehensively by Paul H. Brunner and Helmut Rechberger in their 2004 handbook, MFA applies mass-balance principles to track how raw materials, products, wastes, and emissions move through industrial, urban, or national metabolisms, enabling evidence-based resource management and waste policy.	Ecological Footprint Accounting (EFA) is a resource accounting framework that measures how much biologically productive land and water area a human population requires to produce the resources it consumes and to absorb the waste it generates. Introduced by Mathis Wackernagel and William Rees in 1996, it compares human demand on nature against Earth's regenerative capacity, expressed in standardized global hectares (gha).	Log-Mean Divisia Index (LMDI) Decomposition is a quantitative technique for attributing changes in an aggregate indicator — most commonly energy consumption or CO₂ emissions — to its underlying driving factors, such as activity level, structural mix, and intensity. Introduced in its definitive practical form by B. W. Ang in 2005, LMDI builds on Divisia index theory and uses the logarithmic mean as a weighting function to achieve a mathematically perfect, residual-free decomposition.