Climate Action Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2021 | 2023 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Carbon allowances transferred for energy conservation and carbon emission reduction | tonnes | 14000 | 8 | |||
| Equivalent to planting | trees | 719 | 7 | |||
| Reduced carbon emissions | kg | 30928 | 7 | |||
| Scope 1+2 Base year 2021 emissions | tCO2 | 88770.65 | 28 | |||
| Scope 1+2 Target year 2030 emissions | tCO2 | 57255.88 | 28 | |||
| Scope 2 Base year 2021 emissions | tCO2 | 86684.17 | 28 | |||
| Scope 3 Category 1 Outsourced goods and services Base year 2021 emissions | tCO2 | 51388.85 | 28 | |||
| Scope 3 Category 11 Use of sold products Base year 2021 emissions | tCO2 | 61407.71 | 28 | |||
| Scope 3 Category 13 Downstream leased assets Base year 2021 emissions | tCO2 | 30353.14 | 28 | |||
| Scope 3 Total Base year 2021 emissions | tCO2 | 154352.7 | 28 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | 2021 | 2021-2050 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 | 2050 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Carbon emissions curtailed by Yang Zheng Library in 2023 | kg | 30928 | 4 | ||||||||||||
| Carbon trading profit | RMB | 855000 | 8 | ||||||||||||
| Carbon trading revenue from China Beijing Green Exchange | million RMB | 2.56 | 8 | ||||||||||||
| Cumulative cost of emission reduction as % of climate value at risk (CVaR) under low emissions scenario | % | 2.45 | 24 | ||||||||||||
| Cumulative cost of emission reduction from Scope 1 under low emissions scenario | % | 1.24 | 24 | ||||||||||||
| Cumulative cost of emission reduction from Scope 2 under low emissions scenario | % | 48.35 | 24 | ||||||||||||
| Cumulative cost of emission reduction from Scope 3 under low emissions scenario | % | 50.41 | 24 | ||||||||||||
| Cumulative cost of emission reduction under low emissions scenario | RMB thousands | 88139.91 | 24 | ||||||||||||
| Cumulative emission reduction cost from Scope 1 under medium emissions scenario | % | 2.32 | 24 | ||||||||||||
| Cumulative emission reduction cost from Scope 2 under medium emissions scenario | % | 5.76 | 24 | ||||||||||||
| Cumulative emission reduction cost from Scope 3 under medium emissions scenario | % | 91.92 | 24 | ||||||||||||
| Cumulative emission reduction cost under medium emissions scenario | RMB thousands | 83853.31 | 24 | ||||||||||||
| Cumulative emission reduction under low emissions scenario | million tonnes | 2.94 | 24 | ||||||||||||
| Cumulative emission reduction under medium emissions scenario | million tonnes | 1.2 | 24 | ||||||||||||
| Emission Reduction Cost Projection for Sky SOHO (average annual) | RMB Million | 12.15 | 25 | ||||||||||||
| Emission Reduction Cost Projection for Sky SOHO (cumulative) | RMB Million | 364.24 | 25 | ||||||||||||
| SOHO China Carbon Reduction Roadmap - Remaining emissions | tonnes | 248689.75 | 230000 | 210000 | 200000 | 190000 | 180000 | 170000 | 160000 | 150000 | 140000 | 29 | |||
| Scope 1 Base year 2021 emissions | tCO2 | 2078.05 | 28 | ||||||||||||
| absolute emissions reduction target (Scope 1, Scope 2, Scope 3) by 2030 compared to 2021 | percent | 42 | 3 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Electricity generated by Yang Zheng Library in 2023 | kWh | 53232 | 4 |
| Green electricity purchased and consumed in 2023 | million kWh | 2.3 | 4 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021-2050 | 2023 | Report Pages |
|---|---|---|---|---|
| Energy efficiency retrofit benefit (average annual energy cost saving) | RMB Million | 2.82 | 25 | |
| Energy efficiency retrofit benefit (cumulative energy cost saving) | RMB Million | 88.16 | 25 | |
| Energy saving rate | 20% | 6 | ||
| Total energy saved | million kWh | 80 | 6 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Environmental benefit of trees planted equivalent to carbon curtailed by Yang Zheng Library in 2023 | trees | 719 | 4 | |
| LEED Silver certification: Number of projects awarded LEED Silver certification as of end of 2023 | project | 1 | 26 | |
| LEED certification: Number of projects developed by SOHO China that have been designed and constructed in accordance with LEED Standards as of end of 2023 | projects | 8 | 26 | |
| LEED certified area: Area of buildings awarded LEED certification as of end of 2023 | square meters | 271000 | 26 | |
| Number of new teams signed green leasing clauses | teams | 4 | 10 | 32 |
| WELL certification: Number of projects to be awarded WELL certification by 2023 | projects | 2 | 26 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2022 | 2030 | 2050 | Report Pages |
|---|---|---|---|---|---|
| Carbon quota transfer | tonnes | 22000 | 8 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Galaxy SOHO, 2030, RCP4.5 scenario (medium-low emissions) | % | 2 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Galaxy SOHO, 2030, RCP8.5 scenario (high emissions) | % | 2.5 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Galaxy SOHO, 2050, RCP4.5 scenario (medium-low emissions) | % | 3 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Galaxy SOHO, 2050, RCP8.5 scenario (high emissions) | % | 4 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Guanghualu SOHO II, 2030, RCP4.5 scenario (medium-low emissions) | % | 1 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Guanghualu SOHO II, 2030, RCP8.5 scenario (high emissions) | % | 1.5 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Guanghualu SOHO II, 2050, RCP4.5 scenario (medium-low emissions) | % | 2 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Guanghualu SOHO II, 2050, RCP8.5 scenario (high emissions) | % | 2.5 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, SOHO Nexus Center, 2030, RCP4.5 scenario (medium-low emissions) | % | 2 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, SOHO Nexus Center, 2030, RCP8.5 scenario (high emissions) | % | 2.5 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, SOHO Nexus Center, 2050, RCP4.5 scenario (medium-low emissions) | % | 3 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, SOHO Nexus Center, 2050, RCP8.5 scenario (high emissions) | % | 4 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Sanlitun SOHO, 2030, RCP4.5 scenario (medium-low emissions) | % | 2 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Sanlitun SOHO, 2030, RCP8.5 scenario (high emissions) | % | 2.5 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Sanlitun SOHO, 2050, RCP4.5 scenario (medium-low emissions) | % | 3 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Sanlitun SOHO, 2050, RCP8.5 scenario (high emissions) | % | 4 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Wangjing SOHO, 2030, RCP4.5 scenario (medium-low emissions) | % | 2 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Wangjing SOHO, 2030, RCP8.5 scenario (high emissions) | % | 2.5 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Wangjing SOHO, 2050, RCP4.5 scenario (medium-low emissions) | % | 3 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Wangjing SOHO, 2050, RCP8.5 scenario (high emissions) | % | 4 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Zhongguancun SOHO, 2030, RCP4.5 scenario (medium-low emissions) | % | 2 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Zhongguancun SOHO, 2030, RCP8.5 scenario (high emissions) | % | 2.5 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Zhongguancun SOHO, 2050, RCP4.5 scenario (medium-low emissions) | % | 3 | 20 | ||
| Potential loss rate caused by extreme precipitation in Beijing, Zhongguancun SOHO, 2050, RCP8.5 scenario (high emissions) | % | 4 | 20 | ||
| Potential loss rate caused by extreme precipitation in Hainan, Boao Forum for Asia International Conference Center, 2030, RCP4.5 scenario (medium-low emissions) | % | 10 | 20 | ||
| Potential loss rate caused by extreme precipitation in Hainan, Boao Forum for Asia International Conference Center, 2030, RCP8.5 scenario (high emissions) | % | 12 | 20 | ||
| Potential loss rate caused by extreme precipitation in Hainan, Boao Forum for Asia International Conference Center, 2050, RCP4.5 scenario (medium-low emissions) | % | 15 | 20 | ||
| Potential loss rate caused by extreme precipitation in Hainan, Boao Forum for Asia International Conference Center, 2050, RCP8.5 scenario (high emissions) | % | 20 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Bund SOHO, 2030, RCP4.5 scenario (medium-low emissions) | % | 12 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Bund SOHO, 2030, RCP8.5 scenario (high emissions) | % | 14 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Bund SOHO, 2050, RCP4.5 scenario (medium-low emissions) | % | 17 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Bund SOHO, 2050, RCP8.5 scenario (high emissions) | % | 20 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Fuxing SOHO, 2030, RCP4.5 scenario (medium-low emissions) | % | 13 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Fuxing SOHO, 2030, RCP8.5 scenario (high emissions) | % | 15 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Fuxing SOHO, 2050, RCP4.5 scenario (medium-low emissions) | % | 18 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Fuxing SOHO, 2050, RCP8.5 scenario (high emissions) | % | 21 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Hongkou SOHO, 2030, RCP4.5 scenario (medium-low emissions) | % | 15 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Hongkou SOHO, 2030, RCP8.5 scenario (high emissions) | % | 17 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Hongkou SOHO, 2050, RCP4.5 scenario (medium-low emissions) | % | 20 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, Hongkou SOHO, 2050, RCP8.5 scenario (high emissions) | % | 23 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO China, 2030, RCP4.5 scenario (medium-low emissions) | % | 13 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO China, 2030, RCP8.5 scenario (high emissions) | % | 15 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO China, 2050, RCP4.5 scenario (medium-low emissions) | % | 18 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO China, 2050, RCP8.5 scenario (high emissions) | % | 21 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Fuxing Plaza, 2030, RCP4.5 scenario (medium-low emissions) | % | 13 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Fuxing Plaza, 2030, RCP8.5 scenario (high emissions) | % | 15 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Fuxing Plaza, 2050, RCP4.5 scenario (medium-low emissions) | % | 18 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Fuxing Plaza, 2050, RCP8.5 scenario (high emissions) | % | 21 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Gubei Plaza, 2030, RCP4.5 scenario (medium-low emissions) | % | 13 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Gubei Plaza, 2030, RCP8.5 scenario (high emissions) | % | 15 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Gubei Plaza, 2050, RCP4.5 scenario (medium-low emissions) | % | 18 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Gubei Plaza, 2050, RCP8.5 scenario (high emissions) | % | 21 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Tianshan Plaza, 2030, RCP4.5 scenario (medium-low emissions) | % | 13 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Tianshan Plaza, 2030, RCP8.5 scenario (high emissions) | % | 15 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Tianshan Plaza, 2050, RCP4.5 scenario (medium-low emissions) | % | 18 | 20 | ||
| Potential loss rate caused by extreme precipitation in Shanghai, SOHO Tianshan Plaza, 2050, RCP8.5 scenario (high emissions) | % | 21 | 20 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of suppliers participating in ESG management | suppliers | 382 | 32 |
| Proportion of suppliers participating in ESG management | two-thirds | 32 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Green Leasing Advocacy Contracts signed in 2023 | contracts | 601 | 4 |
| Number of distributed Green Leasing Guidelines manuals | manuals | 257 | 32 |
| Number of public service advertisement views for green leasing | times | 7000 | 32 |
| Number of science-based education materials on green leasing | materials | 3200 | 32 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2023 |
|---|---|---|---|
| GHG Removals from Newly Planted Trees | trees | 719 | |
| Indirect Energy Emissions (Scope 2) | tCO2 | 86684.17 | |
| Scope 3 GHG Emissions (Downstream Leased Assets) | tCO2 | 30353.14 | |
| Scope 3 GHG Emissions (Purchased Goods/Services) | tCO2 | 51388.85 | |
| Scope 3 GHG Emissions (Use of Sold Products) | tCO2 | 61407.71 | |
| Total GHG Emissions | tCO2 | 88770.65 | |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2 | 154352.7 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target GHG Emissions Reduction Percentage by 2030 Compared to 2021 | percent | 42 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Purchased Electricity | kWh | 2300000 |
| Renewable Energy Consumption | kWh | 2300000 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Energy Consumption Reduction Compared to Last Year | million kWh | 80 |
| Energy Consumption Reduction Percentage Compared to Last Year | % | 20 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Water Consumption Reduction Percentage Compared to Last Year | % |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Suppliers Participating in ESG Training | suppliers | 382 |