Norbert Jobst
Biographic Data
| ID | 7994532 |
|---|---|
| NAME | Norbert Jobst |
| GIVEN NAMES | Norbert |
| FAMILY NAME | Jobst |
| SIGNATURE | JOBST N |
| AFFILIATIONS | Lloyds Banking Group (United Kingdom) |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Completing the SME carbon profile: Scalable prediction of scope 3 emissions
Despite growing recognition of significance, a business’s Scope 3 emissions remain rarely measured and as a result are poorly understood. This situation is particularly common amongst small and medium-sized enterprises (SMEs), which face additional obstacles to emission measurement. With this paper, we present a transaction-based approach to facilitate SME Scope 3 engagement. Using financial transaction data for 150,000 + UK SMEs, we produce spen…
Bridging the SME reporting gap: A new model for predicting Scope 1 and 2 emissions
We present a novel statistical model for predicting Scope 1 and 2 emissions for small and medium‐sized enterprises (SMEs). Trained on financial transaction data from over 100,000 UK SMEs, the model targets a business segment excluded from formal emissions reporting and often under‐engaged in sustainability efforts. By leveraging scalable, objective data, our approach offers an accessible alternative to existing methods that rely on either coarse …
A scalable tool for farm-level carbon accounting: Evidence from UK agriculture
Accurately quantifying greenhouse gas (GHG) emissions at the farm level is crucial for agricultural decarbonisation, yet doing so remains challenging—particularly for smaller farming operations that lack resources for comprehensive data collection. To address this gap, we present a new framework to predict farm-level direct emission intensities (tCO 2 e/£) from a minimal set of input variables. Our approach leverages a unique and comprehensive da…
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Bridging the SME reporting gap: A new model for predicting Scope 1 and 2 emissions
We present a novel statistical model for predicting Scope 1 and 2 emissions for small and medium‐sized enterprises (SMEs). Trained on financial transaction data from over 100,000 UK SMEs, the model targets a business segment excluded from formal emissions reporting and often under‐engaged in sustainability efforts. By leveraging scalable, objective data, our approach offers an accessible alternative to existing methods that rely on either coarse …
A scalable tool for farm-level carbon accounting: Evidence from UK agriculture
Accurately quantifying greenhouse gas (GHG) emissions at the farm level is crucial for agricultural decarbonisation, yet doing so remains challenging—particularly for smaller farming operations that lack resources for comprehensive data collection. To address this gap, we present a new framework to predict farm-level direct emission intensities (tCO 2 e/£) from a minimal set of input variables. Our approach leverages a unique and comprehensive da…
Completing the SME carbon profile: Scalable prediction of scope 3 emissions
Despite growing recognition of significance, a business’s Scope 3 emissions remain rarely measured and as a result are poorly understood. This situation is particularly common amongst small and medium-sized enterprises (SMEs), which face additional obstacles to emission measurement. With this paper, we present a transaction-based approach to facilitate SME Scope 3 engagement. Using financial transaction data for 150,000 + UK SMEs, we produce spen…
Database transaction (3 works) · Business model (2 works) · Greenhouse gas (2 works) · Scalability (2 works) · Sustainable Supply Chain Management (2 works) · Transaction cost (2 works) · Agriculture (1 works) · Agriculture Sustainability and Environmental Impact (1 works) · Audit (1 works) · Carbon accounting (1 works)