Environmental, Social and Governance Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of digital towers serving national economy and people's livelihoods | digital towers | 217 thousand | 44 |
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 | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Carbon emissions reduced by battery exchange business | million tons | 3 | 5 | |
Carbon emissions reduced by photovoltaic system of base stations in Jiangsu Province | tons | 2800 | 23 | |
Carbon emissions reduced by sharing philosophy | million tons | 29.8 | 5 | |
Direct greenhouse gas emissions (Scope 1) | Tons | 83655.11 | 84 | |
Direct greenhouse gas emissions (Scope 1) - Coal | Tons | 201.81 | 84 | |
Direct greenhouse gas emissions (Scope 1) - Coal gas | Tons | 22.62 | 84 | |
Direct greenhouse gas emissions (Scope 1) - Diesel | Tons | 4915.9 | 84 | |
Direct greenhouse gas emissions (Scope 1) - Fuel oil | Tons | 57.39 | 84 | |
Direct greenhouse gas emissions (Scope 1) - Gasoline | Tons | 68956.29 | 84 | |
Direct greenhouse gas emissions (Scope 1) - Kerosene | Tons | 14.84 | 84 | |
Direct greenhouse gas emissions (Scope 1) - Liquefied petroleum gas | Tons | 7457.32 | 84 | |
Direct greenhouse gas emissions (Scope 1) - Natural gas | Tons | 2028.94 | 84 | |
Greenhouse gas emissions (Scope 1 & Scope 2) | Tons | 893639.56 | 84 | |
Greenhouse gas emissions per unit of operating income | Tons/RMB million | 9.51 | 84 | |
Indirect greenhouse gas emissions (Scope 2) | Tons | 809984.45 | 84 | |
Indirect greenhouse gas emissions (Scope 2) - Externally sourced electricity | Tons | 791399.1 | 84 | |
Indirect greenhouse gas emissions (Scope 2) - Externally sourced heat | Tons | 18885.35 | 84 | |
Reduction of carbon dioxide emissions (resource conservation achieved) | million tons | 1.745 | 31 | |
Reduction of carbon dioxide emissions (resource conservation target) | million tons | 1.481 | 31 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Discarded electronic products | Tons | 4.44 | 86 |
Discarded lead (acid) batteries (packs) | Tons | 2056.27 | 86 |
Hazardous waste per unit of operating income | Tons/RMB million | 0.02 | 86 |
Total hazardous waste | Tons | 2056.27 | 86 |
Total hazards uncovered | hazards | 322000 | 77 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Discarded air conditioners from the server room | Tons | 1987.01 | 86 |
Non-hazardous waste per unit of operating income | Tons/RMB million | 0.036 | 86 |
Number of dismantled material towers used in Suzhou, Jiangsu Province | towers | 80 | 33 |
Number of dismantled materials identified for recycling | items | 17000 | 33 |
Number of dismantled materials used for recycling | items | 5600 | 33 |
Office supplies consumption | Tons | 7.16 | 86 |
Total non-hazardous waste | Tons | 3423.29 | 86 |
Total recyclable waste processed by smart waste sorting bins (Jizhou, Wuqing, Baodi of Tianjin) | tons | 1100 | 34 |
Waste switching power supply in the server room | Tons | 729.08 | 86 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | 2023 (target) | Report Pages |
---|---|---|---|---|
Carbon emission reduced through co-construction and sharing | tons | 29.8 million | 19 | |
Reduction of greenhouse gas emissions (resource conservation target) | million tons | 1.532 | 31 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | 2023 (target) | 2024 | Report Pages |
---|---|---|---|---|---|
Concrete used (resource conservation achieved) | million tons | 2.49 | 31 | ||
Concrete used (resource conservation target) | million tons | 2.18 | 2.1 | 31 | |
Disposal rate of hazardous waste in compliance with regulations | % | 100 | 33 | ||
Hazards rectified | hazards | 321000 | 77 | ||
Number of communities with smart waste sorting bins (Jizhou, Wuqing, Baodi of Tianjin) | communities | 50 | 34 | ||
Targeted disposal rate of hazardous waste in compliance with regulations | % | 100 | 33 | ||
Transfer rate of sorted and stored waste in a separate manner in the Tower Industrial Park within 24 hours | % | 100 | 33 |
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 |
---|---|---|---|
Coal consumption | MW•h | 538.99 | 85 |
Coal gas consumption | MW•h | 124.9 | 85 |
Cumulative purchase of new outdoor power supplies | sets | 23000 | 34 |
Cumulative purchase of new outdoor power supply supporting equipment | sets | 53000 | 34 |
Cumulative purchase of outdoor batteries | sets | 30000 | 34 |
Diesel consumption | MW•h | 17807.13 | 85 |
Direct energy consumption | MW•h | 323091.63 | 85 |
Distance traveled by light electric vehicles enabled by battery exchange business | billion kilometres | 90 | 5 |
Electricity provided by photovoltaic system of base stations in Jiangsu Province | million kWh | 4.88 | 23 |
Energy consumption per unit of operating income | MW•h/RMB million | 18.43 | 85 |
Externally sourced electricity consumption | MW•h | 1362132.7 | 85 |
Externally sourced heat consumption | MW•h | 46932.71 | 85 |
Fuel oil consumption | MW•h | 210.38 | 85 |
Gasoline consumption | MW•h | 260738.57 | 85 |
Indirect energy consumption | MW•h | 1409065.41 | 85 |
Kerosene consumption | MW•h | 42.05 | 85 |
Liquefied petroleum gas consumption | MW•h | 34532.62 | 85 |
Natural gas consumption | MW•h | 9096.99 | 85 |
Number of clean energy sites established nationwide | sites | 21000 | 23 |
Number of clean energy-powered sites built | sites | 21000 | 5 |
Number of newly built towers cut out through co-construction and sharing | towers | 1.12 million | 19, 26 |
Number of photovoltaic renovation projects for base-station sites in Jiangsu Province (Xuzhou, Suqian, Huai'an) | base-station sites | 2000 | 23 |
Number of towers saved from being built by sharing philosophy | towers | 1120000 | 5 |
Total energy consumption | MW•h | 1732157.04 | 85 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Length of river area covered by water conservancy points | km | 4700 | 44 |
Number of provinces covered by water conservancy points | provinces | 29 | 44 |
Number of reservoirs covered by water conservancy points | reservoirs | 2300 | 44 |
Other water consumption | Tons | 13317.64 | 85 |
Reduction in water consumption per capita of the Company | % | 3 | 33 |
Reduction in water consumption per capita of the Tower Industrial Park | % | 22 | 33 |
Tap water consumption | Tons | 942742.88 | 85 |
Water consumption | Tons | 956060.52 | 85 |
Water consumption per unit of operating income | Tons/RMB million | 10.17 | 85 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | 2023 (achieved) | 2023 (target) | 2024 | 2024 (target) | Report Pages |
---|---|---|---|---|---|---|---|
Annual direct energy consumption decrease compared with 2022 | % | 23.72 | 26 | ||||
Automatic energy-saving management and control rate of air conditioners in base stations | % | 85.0 | 85.9 | 86.0 | 31 | ||
Cumulative cost savings for three TSPs (tower site providers) | billion RMB | 6 | 81 | ||||
Energy consumption per capita reduction (based on 2022) | % | 2.5 | 2.0 | 31 | |||
Energy consumption per capita reduction (based on 2023) | % | 1.0 | 31 | ||||
Increase in energy efficiency level of ancillary facilities of telecommunication base stations | percentage points | 1.53 to 5.15 | 21 | ||||
Investment saved by using dismantled material towers in Suzhou, Jiangsu Province | million RMB | 83 | 33 | ||||
Investment saved through co-construction and sharing | RMB | RMB201.6 billion | 19 | ||||
Power consumption per capita of Tower Industrial Park reduction (based on 2022) | % | 10.3 | 3 | 31 | |||
Power consumption per capita reduction (based on 2022) | % | 3.2 | 2.0 | 31 | |||
Power consumption per capita reduction (based on 2023) | % | 1.0 | 31 | ||||
Switching power used (resource conservation achieved) | million A | 7.3 | 31 | ||||
Switching power used (resource conservation target) | million A | 6.55 | 6.3 | 31 |
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.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of water conservancy points | points | 11 thousand | 44 | |
Targeted reduction in water consumption per capita of the Company | % | 1 | 33 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2023 | 2023 (target) | 2024 | Report Pages |
---|---|---|---|---|---|
Office paper | Tons | 695.6 | 86 | ||
Steel saved through co-construction and sharing | tons | 5.02 million | 19 | ||
Steel used in towers (resource conservation achieved) | tons | 311000 | 31 | ||
Steel used in towers (resource conservation target) | tons | 273000 | 264000 | 31 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Area covered by key forestry monitoring | million square kilometers | 0.5 | 44 |
Area of farmland covered by environment protection supervision | billion mu | 0.48 | 44 |
Area of farmland protected | billion mu | nearly 0.1 | 44 |
Equivalent number of trees planted by photovoltaic system of base stations in Jiangsu Province | trees | 300000 | 23 |
Institutional processes improved through targeted rectification efforts | processes | 16 | 77 |
Land occupation reduced for Lijiang-Shangri-La Railway public network coverage project | square meters | over 6600 | 19 |
Land saved through co-construction and sharing | mu | 62000 | 19 |
Land use reduced by sharing philosophy | mu | 62000 | 5 |
Length of highways covered by transportation monitoring | kilometers | 10 thousand | 44 |
Number of challenging sites resolved for TSPs to optimize indoor 5G coverage | sites | 8210 | 42 |
Number of earthquake monitoring stations | stations | more than 10 thousand | 44 |
Number of environment protection supervision points | points | more than 32 thousand | 44 |
Number of farmland protection points | points | more than 50 thousand | 44 |
Number of key districts and counties covered by Yangtze River Basin fishery monitoring | districts and counties | more than 400 | 44 |
Number of key forestry monitoring points | points | more than 50 thousand | 44 |
Number of key provinces and cities with Yangtze River Basin fishery monitoring | provinces and cities | 15 | 44 |
Number of monitoring points for Yangtze River Basin fishery | points | more than 6500 | 44 |
Number of monitoring points for railway road protection | points | more than 3300 | 44 |
Number of nature reserves with information construction | nature reserves | 51 | 44 |
Number of provinces covered by transportation monitoring | provinces | 17 | 44 |
Number of provinces with earthquake risk avoidance monitoring | provinces | 30 | 44 |
Number of provinces with farmland protection | provinces | 18 | 44 |
Number of provinces with railway road protection monitoring | provinces | 20 | 44 |
Number of radar surveillance points for Yangtze River Basin fishery | not specified | 44 | |
Number of railway road protection points | points | nearly 9000 | 44 |
Number of telecommunication base stations built in Heilongjiang (frontier regions) | base stations | 2000 | 42 |
Number of transportation monitoring points | points | 3300 | 44 |
Number of wetland reserves with information construction | wetland reserves | 37 | 44 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of employees by age - 29 and below | person | 5182 | 87 |
Number of employees by age - 30-39 | person | 9961 | 87 |
Number of employees by age - 40-49 | person | 6197 | 87 |
Number of employees by age - 50 and above | person | 1654 | 87 |
Number of employees by category - Managers | person | 4226 | 87 |
Number of employees by category - Non-managers | person | 18768 | 87 |
Number of employees by gender - Female | person | 6394 | 87 |
Number of employees by gender - Male | person | 16600 | 87 |
Number of employees by nationality - Ethnic Han | person | 20660 | 87 |
Number of employees by nationality - Ethnic minorities | person | 2334 | 87 |
Number of employees by region - Central China | person | 2676 | 87 |
Number of employees by region - East China | person | 5740 | 87 |
Number of employees by region - Hong Kong, Macau and Taiwan | person | 4 | 87 |
Number of employees by region - North China | person | 3678 | 87 |
Number of employees by region - Northeast China | person | 1944 | 87 |
Number of employees by region - Northwest China | person | 2633 | 87 |
Number of employees by region - Overseas regions (except Hong Kong, Macau and Taiwan) | person | 7 | 87 |
Number of employees by region - South China | person | 2375 | 87 |
Number of employees by region - Southwest China | person | 3937 | 87 |
Total number of employees | person | 22994 | 40, 87 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Employee overall turnover rate | % | 1.2 | 88 |
Employee turnover rate by age - 29 and below | % | 3.7 | 88 |
Employee turnover rate by age - 30-39 | % | 0.7 | 88 |
Employee turnover rate by age - 40-49 | % | 0.2 | 88 |
Employee turnover rate by age - 50 and above | % | 0.1 | 88 |
Employee turnover rate by gender - Female | % | 1.5 | 88 |
Employee turnover rate by gender - Male | % | 1.1 | 88 |
Employee turnover rate by region - Central China | % | 1.0 | 88 |
Employee turnover rate by region - East China | % | 1.3 | 88 |
Employee turnover rate by region - Hong Kong, Macau and Taiwan | % | 0.0 | 88 |
Employee turnover rate by region - North China | % | 1.0 | 88 |
Employee turnover rate by region - Northeast China | % | 0.9 | 88 |
Employee turnover rate by region - Northwest China | % | 1.4 | 88 |
Employee turnover rate by region - Overseas regions (except Hong Kong, Macau and Taiwan) | % | 0.0 | 88 |
Employee turnover rate by region - South China | % | 1.3 | 88 |
Employee turnover rate by region - Southwest China | % | 0.9 | 88 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2021 | Report Pages |
---|---|---|---|
Number of work-related fatalities | 1 | 89 | |
Rate of work-related fatalities | % | 0.005 | 89 |
Lost days due to work injury.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Lost days due to work injury | 1223 | 89 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Major accident hazards identified and rectified | hazards | 631 | 77 |
Participants in Safety Production Lecture Halls | participants | 25661 | 77 |
Participants in safety production activities (e.g., 'Let's Talk Safety', 'Pre-shift Meetings', 'Case Studies') | participants | 40392 | 77 |
Participants in specialized training on safety knowledge and skills | participants | 26944 | 77 |
Rectification completion rate | % | 99.8 | 77 |
Sessions of Safety Production Lecture Halls organized | sessions | 599 | 77 |
Sessions of safety production activities (e.g., 'Let's Talk Safety', 'Pre-shift Meetings', 'Case Studies') organized | sessions | 4243 | 77 |
Sessions of specialized training on safety knowledge and skills organized | sessions | 710 | 77 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of 'Set-Sail Program' orientation training sessions for new employees | sessions | 9 | 63 |
Number of female employees trained | person | 6322 | 89 |
Number of independent research and development control algorithms released for Smart Tower business | 53 | 55 | |
Number of male employees trained | person | 16419 | 89 |
Number of managers trained | person | 4206 | 89 |
Number of new employees participating in 'Set-Sail Program' orientation training | employees | 1041 | 63 |
Number of non-managers trained | person | 18535 | 89 |
Number of online courses on 'Tower e-Learning' platform | courses | 804 | 63 |
Number of online training courses on 'Tower e-Learning' platform | courses | 5142 | 63 |
Number of participants in online training courses on 'Tower e-Learning' platform | participants | 196000 | 63 |
Number of people covered by livestreams on 'Tower e-Learning' platform | people | 87000 | 63 |
Number of people covered by online courses on 'Tower e-Learning' platform | people | 2241000 | 63 |
Number of people covered by special training on 'Tower e-Learning' platform | people | 1035000 | 63 |
Percentage of female employees trained | % | 98.9 | 89 |
Percentage of male employees trained | % | 98.9 | 89 |
Percentage of managers trained | % | 99.5 | 89 |
Percentage of non-managers trained | % | 98.8 | 89 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Average training hours of all employees | hours/person | 128.7 | 89 |
Average training hours of managers | hours/person | 137.7 | 89 |
Average training hours of non-managers | hours/person | 126.7 | 89 |
Average training hours per female employee | hours/person | 127.5 | 89 |
Average training hours per male employee | hours/person | 129.2 | 89 |
Number of livestreams on 'Tower e-Learning' platform | livestreams | 114 | 63 |
Number of special training sessions on 'Tower e-Learning' platform | sessions | 78 | 63 |
Per capita online training time on 'Tower e-Learning' platform | hours | 75 | 63 |
Total learning time on 'Tower e-Learning' platform | million hours | 1.649 | 63 |
Number of suppliers by geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Cumulative length of indoor distributed antenna systems (DAS) in high-speed railway tunnels and subways | kilometres | 24000 | 5 |
Number of 5G base stations constructed on islands and coastal areas (Jigu Reef outside the Yangtze River estuary and two other islands) | base stations | 3 | 42 |
Number of 5G base-stations contracted to build (cumulative) | million | 2.3 | 5 |
Number of 5G construction sites planned in Heilongjiang (frontier regions) | sites | over 840 | 42 |
Number of national invention patents newly obtained | patents | 84 | 78 |
Number of suppliers in Hong Kong, Macau and Taiwan or overseas | 39 | 82 | |
Number of suppliers in Mainland China | 216499 | 82 | |
Number of suppliers on electronic procurement platform | suppliers | 13665 | 34 |
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 base stations using low-cost standardized tower mast products (nationwide) | base stations | 18000 | 21 |
Number of procurement projects implemented via electronic procurement platform | projects | over 20000 | 34 |
Number of subway lines in Henan Province with reengineered and built 5G infrastructure | subway lines | 11 | 42 |
Number of suppliers participating in post-evaluation for centralized procurement projects and framework agreements | suppliers | 448 | 81 |
Number of suppliers subject to disciplinary actions for violating Integrity Assurance Contracts | suppliers | 358 | 78 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Customer satisfaction rate | % | 98.90 | 74 |
Customer satisfaction rate for 100% hotline | % | 98.90 | 81 |
Number of complaints received by 100% hotline | complaints | 2578 | 81 |
Number of complaints received by China Tower online service WeChat official account | complaints | 1328 | 81 |
Number of customers participated in customer satisfaction survey via 100% hotline | customers | 529174 | 81 |
Number of customers participating in satisfaction surveys | 529174 | 74 | |
Number of serving users of battery exchange business | million | 1.145 | 5 |
Percentage of work orders with customer satisfaction for China Tower online service WeChat official account | % | 98.90 | 81 |
Response rate for 100% hotline | % | 96.09 | 81 |
Satisfaction rate for 'very satisfied' across 93 provincial TSPs | % | 95.7 | 81 |
Satisfaction rate for 'very satisfied' in terms of 5G site rental fees | % | 98.9 | 81 |
Satisfaction rate for 'very satisfied' in terms of electricity costs | % | 94.6 | 81 |
Satisfaction rate for 'very satisfied' in terms of quality of maintenance service | % | 92.5 | 81 |
Satisfaction rate for 'very satisfied' in terms of site rental fees | % | 98.6 | 81 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of new authorized national invention patents obtained during the year | 84 | 74 | |
Number of new software copyright registrations obtained during the year | 49 | 74 | |
Number of software copyrights newly registered | copyrights | 37 | 78 |
Total number of authorized national invention patents | 145 | 74 | |
Total number of national invention patents obtained (accumulative) | patents | 145 | 78 |
Total number of software copyright registrations | 172 | 74 | |
Total number of software copyrights registered (accumulative) | copyrights | 103 | 78 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of camera application products released for Smart Tower business | 16000 | 55 | |
Reduction in duration from capitalization to closure with 'one-code-for-all service' | % | 81 | 82 |
Reduction in duration from project completion to internal inspection with 'one-code-for-all service' | % | 67 | 82 |
Reduction in installation time with 'one-code-for-all service' | % | 61 | 82 |
Reduction in material storage duration with 'one-code-for-all service' | % | 66 | 82 |
Total items labeled nationwide under 'one-code-for-all service' | items | 2.3 million | 82 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of finalized corruption litigation cases | case | 1 | 78 |
Number of individuals covered in 'look-back' special inspection campaign | individuals | 11232 | 78 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of cadres and employees signed Compliance Commitment Letter | persons | 22005 | 76 |
Number of signatories to the Compliance Commitment Letter | people | 22005 | 74 |
Number of warning education sessions conducted | sessions | 3340 | 78 |
Signing rate for Compliance Commitment Letter | % | 95.70 | 74 |
Signing rate of Compliance Commitment Letter | % | 95.70 | 76 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of employees covered by integrity warning education sessions | person-times | 106675 | 74 |
Number of employees covered by warning education | employees | 106675 | 78 |
Total number of integrity warning education sessions conducted throughout the year | sessions | 3340 | 74 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of projects related to telecommunication towers constructed (cumulative) | million | 4 | 5 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of smart waste sorting bins placed in communities (Jizhou, Wuqing, Baodi of Tianjin) | bins | 884 | 34 |
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 | 2023 |
---|---|---|
Direct GHG Emissions (Scope 1) | Tons | 83655.11 |
GHG Emissions from Natural Gas | Tons | 2028.94 |
GHG Emissions from Purchased Electricity | Tons | 791399.1 |
Indirect Energy Emissions (Scope 2) | Tons | 809984.45 |
Total GHG Emissions | Tons | 893639.56 |
Total GHG Emissions Intensity (By Revenue) | Tons/RMB million | 9.51 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Hazardous Waste (Used Batteries) | Tons | 2056.27 |
Total Hazardous Waste | Tons | 2056.27 |
Total Hazardous Waste Intensity (By Revenue) | Tons/RMB million | 0.02 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Non-Hazardous Waste (Electronic Waste) | Tons | 729.08 |
Paper Waste | Tons | 695.6 |
Total Non-Hazardous Waste | Tons | 3423.29 |
Total Non-Hazardous Waste Intensity (By Revenue) | Tons/RMB million | 0.036 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 |
---|---|---|
CO2 Emissions Reduction Compared to Last Year | million tons | 29.8 |
GHG Emissions Reduction Compared to Last Year | million tons | 29.8 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 100 | 100 |
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 |
---|---|---|
Diesel Fuel Consumption | MW·h | 17807.13 |
Energy Consumption Intensity (By Revenue) | MW·h/RMB million | 18.43 |
Gasoline Consumption | MW·h | 260738.57 |
LPG Consumption | MW·h | 34532.62 |
Natural Gas Consumption | MW·h | 9096.99 |
Purchased Electricity | MW·h | 1362132.7 |
Purchased Heating | MW·h | 46932.71 |
Total Direct Energy Consumption | MW·h | 323091.63 |
Total Energy Consumption | MW·h | 1732157.04 |
Total Indirect Energy Consumption | MW·h | 1409065.41 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Municipal Water Consumption | Tons | 942742.88 |
Total Water Withdrawal | Tons | 956060.52 |
Water Consumption | Tons | 956060.52 |
Water Consumption Intensity (By Revenue) | Tons/RMB million | 10.17 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Energy Consumption Reduction Percentage Compared to Last Year | % | 23.72 | |
Target Energy Consumption Reduction Percentage Compared to Last Year | % | 2 | 1 |
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 | 2024 |
---|---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | % | 1 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Employees Aged 30-50 | person | 16158 |
Number of Employees Aged Above 50 | person | 1654 |
Number of Employees Aged Below 30 | person | 5182 |
Number of Employees in Central China | person | 2676 |
Number of Employees in East China | person | 5740 |
Number of Employees in Hong Kong | person | 4 |
Number of Employees in North China | person | 3678 |
Number of Employees in Northeast China | person | 1944 |
Number of Employees in Northwest China | person | 2633 |
Number of Employees in Overseas | person | 7 |
Number of Employees in South China | person | 2375 |
Number of Employees in Southwest China | person | 3937 |
Number of Female Employees | person | 6394 |
Number of Male Employees | person | 16600 |
Number of Total Employees | person | 22994 |
Percentage of Employees Aged 30-50 | % | 70.32 |
Percentage of Employees Aged Above 50 | % | 7.19 |
Percentage of Employees Aged Below 30 | % | 22.54 |
Percentage of Employees in Central China | % | 11.64 |
Percentage of Employees in East China | % | 24.97 |
Percentage of Employees in Hong Kong | % | 0.02 |
Percentage of Employees in North China | % | 16 |
Percentage of Employees in Northeast China | % | 8.46 |
Percentage of Employees in Northwest China | % | 11.45 |
Percentage of Employees in Overseas | % | 0.03 |
Percentage of Employees in South China | % | 10.33 |
Percentage of Employees in Southwest China | % | 17.12 |
Percentage of Female Employees | % | 27.81 |
Percentage of Male Employees | % | 72.19 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 0.9 |
Turnover Rate of Employees Aged Above 50 | % | 0.1 |
Turnover Rate of Employees Aged Below 30 | % | 3.7 |
Turnover Rate of Employees in Central China | % | 1 |
Turnover Rate of Employees in East China | % | 1.3 |
Turnover Rate of Employees in North China | % | 1 |
Turnover Rate of Employees in Northeast China | % | 0.9 |
Turnover Rate of Employees in Northwest China | % | 1.4 |
Turnover Rate of Employees in South China | % | 1.3 |
Turnover Rate of Employees in Southwest China | % | 0.9 |
Turnover Rate of Female Employees | % | 1.5 |
Turnover Rate of Male Employees | % | 1.1 |
Turnover Rate of Total Employees | % | 1.2 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Fatalities Rate of the Last 3 Years | % | 0.0016666666666666668 | 0.0016666666666666668 | 0.0016666666666666668 |
Number of Fatalities of the Last 3 Years | 1 | 1 | 1 | |
Number of Work-related Fatalities | 1 | |||
Work-related Fatalities Rate | % | 0.005 |
Lost days due to work injury.
Standard Indicator | Unit | 2023 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 1223 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of People Receiving Training on Work Safety | participants | 92997 |
Number of Safety knowledge lectures | sessions | 599 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 |
---|---|---|
Percentage of Employees Trained | % | 98.9 |
Percentage of Trained Female Employees | % | 98.9 |
Percentage of Trained General Employees | % | 98.8 |
Percentage of Trained Male Employees | % | 98.9 |
Percentage of Trained Senior Management | % | 99.5 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 |
---|---|---|
Average Training Hours (Female) | hours/person | 127.5 |
Average Training Hours (General Staff) | hours/person | 126.7 |
Average Training Hours (Male) | hours/person | 129.2 |
Average Training Hours (Senior Management) | hours/person | 137.7 |
Average Training Hours per Employee | hours/person | 128.7 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Suppliers in Mainland China | 216499 | |
Number of Total Suppliers | 216538 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2023 |
---|---|---|
Total Number of Customer Complaints | complaints | 3906 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2023 |
---|---|---|
Accumulative Number of Patents Granted | patents | 145 |
Number of Invention Patents | patents | 145 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Concluded Corruption Lawsuits | case | 1 |
Number of Corruption Litigation | case | 1 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Standard Indicator | Unit | 2023 |
---|---|---|
Percentage of Employees Anti-corruption Policies have been Communicated to | % | 95.7 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Anti-corruption Training Session | sessions | 3340 |
Number of Attendance for Anti-corruption Training | person-times | 106675 |
Number of People Participated in Ethical Standards and Anti-corruption Training | employees | 106675 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Volunteer Activities Sessions | 1127 |