NRI Group's Environmental Policy
NRI Group's Environmental PolicyTargets and Results
The NRI Group has established the following environmental targets. We aim to achieve net-zero greenhouse gas emissions across Scopes 1, 2, and 3 by FY 2050, a target certified by the SBTi under its Corporate Net-Zero Standard. The FY 2030 reduction target for Scopes 1 and 2 has been raised to a more ambitious level and recertified under the latest SBTi standards.
Environmental Targets of the NRI Group
Metrics | Targets | FY2024 results | ||
---|---|---|---|---|
Rate of reduction | Results | |||
Greenhouse gases | Rate of reduction of greenhouse gas emissions (Base year: FY2019) |
[FY2030] Scope 1 + 2: 97% reduction, remaining emissions neutralized*1 |
91% reduction | 5,000 tons*2 |
[FY2030] Scope 3: 30% reduction |
1% increase*3 | 168,000 tons*2*3 | ||
[FY2050] Scope 1 + 2 + 3: Net Zero (92% reduction, remaining emissions neutralized*1) |
24% reduction*3 | 173,000 tons*3 | ||
Rate of use of renewable energy | [FY2030] 100% |
-- | 98%*2 | |
Water resources | Clean water usage (Base year: FY2013, target: Data Center) |
[FY2030] 10% reduction |
25% reduction | 138,000 m3*2 |
Waste | Final waste disposal volume (Base year: FY2020, target: domestic) |
[FY2027] 10% reduction |
66% reduction | 27 tons |
Energy conservation | Reduction of Electricity Usage through Energy Conservation Measures*4 (Base year: FY2023, target: Data Center) |
[FY2030] + 1,000,000 kWh |
-- | + 434,000 kWh energy-saving efforts increment |
- *1 “Remaining emissions” refers to emissions that cannot be reduced within the value chain by the target fiscal year. “Neutralization” refers to offsetting these remaining emissions using carbon removal technologies outside the value chain.
- *2 Results values have been verified by a third party.
- *3 The calculation method has been changed for Category 1 of Scope 3 (calculation is based in part on primary data collected from business partners) starting with the results for FY2024.
- *4 Energy conservation measures include free cooling, and machine learning optimization of air conditioning.
For detailed environment-related data, please refer to the ESG Data Book.