2024 ESG Report
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 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Annual carbon emissions offset | tons | 17000 | 4 | ||
Carbon Emission Reductions | tons | 29982 | 5 | ||
Carbon emission reduction from rooftop distributed photovoltaic power stations | tons | 29982 | 32 | ||
Intensity of greenhouse gas emission (Tons/RMB million of rental and management fee income from urban complexes) | Tons/RMB million | 17 | 30 | 31 | 38 |
Rooftop Distributed Photovoltaic Power Stations Annual Power Generation Capacity | MWh | 37398 | 5 | ||
Scope 1 + Scope 2 GHG emissions intensity (urban complex rental and management fee income) | tCO2e/million yuan | 53 | 44 | 49 | 32 |
Scope 1: Direct energy emissions | tCO2e | 30969 | 43527 | 34634 | 32 |
Scope 2: Indirect energy emissions | tCO2 | 498799 | 451064 | 589068 | 32 |
Total Scope 1 + Scope 2 GHG emissions | tCO2e | 529767 | 494591 | 623702 | 32 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Construction waste | Tons | 53171 | 95089 | 81578 | 38 |
Domestic waste | Tons | 110105 | 223590 | 169112 | 38 |
Kitchen waste | Tons | 2252 | 6009 | 145565 | 38 |
Total discharge of non-hazardous waste | Tons | 165528 | 324688 | 396255 | 38 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Carbon emissions offset by green electricity trading | tons | 17000 | 39 |
Carbon emissions offset by green electricity transaction | tons | 17000 | 32 |
Offsetting Carbon Emissions | tons | 17000 | 5 |
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 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Amount of green electricity purchased | MWh | 19570 | 135380 | 21610 | 38 |
Annual power generation capacity from rooftop distributed photovoltaic power stations | MWh | 37398 | 32 | ||
Direct energy consumption | MWh | 139166 | 217513 | 173447 | 38 |
Electricity consumption | MWh | 591825 | 679240 | 760650 | 38 |
Gasoline consumption | L | 42597 | 89781 | 34947 | 38 |
Green electricity transaction volume | GWh | 22 | 32 | ||
Heat consumption | GJ | 410461 | 355260 | 423110 | 38 |
Indirect energy consumption | MWh | 587845 | 498670 | 669660 | 38 |
Installed capacity of rooftop distributed photovoltaic power stations | MW | 38 | 32 | ||
Intensity of energy consumption (MWh/RMB million of rental and management fee income from urban complexes) | MWh/RMB million | 63 | 52 | 59 | 38 |
Natural gas consumption | Ten thousand m³ | 1428 | 2004 | 1598 | 38 |
Number of green electricity traded annually | GWh | 22 | 4 | ||
Number of rooftop distributed photovoltaic power stations built and connected to grid | 67 | 32 | |||
Number of ultra-low energy buildings | 2 | 32 | |||
Total energy consumption | MWh | 627041 | 590443 | 766380 | 38 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Annual Green Power Traded | GWh | 22 | 5 | ||
Water consumption | Tons | 16610574 | 20512761 | 25323128 | 38 |
Water intensity (Tons/RMB million of rental and management fee income from urban complexes) | Tons/RMB million | 1697 | 1883 | 1977 | 38 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of projects with completed green electricity purchase | 14 | 32 |
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 | 2024 | Report Pages |
---|---|---|---|
Number of sponge city projects with annual rainfall capture ratio over 75% | projects | 38 | 39 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Area of desert greened under New Green Action five-year plan | square meters | 1000000 | 58 | ||
Area of land greening by 'New Greenery Plan' | million square meters | 2.05 | 4 | ||
Cumulative Number of LEED-certified Buildings | 13 | 5 | |||
Cumulative Number of National Smart Buildings | 4 | 5 | |||
Cumulative Number of Ultra-low Energy-consuming Buildings | 2 | 5 | |||
Cumulative Number of WELL-certified Buildings | 4 | 5 | |||
Cumulative Total of Projects with National Green Building Operation Labels | 45 | 5 | |||
Cumulative area of projects under construction meeting national requirements for green buildings | square meters (assumed, as 'area' is mentioned but unit not specified) | 3944 | 6 | ||
Green Construction Coverage Rate for Newly Constructed Projects | % | 100 | 5 | ||
Green construction coverage rate for newly constructed projects | % | 100% | 6 | ||
Newly Obtained Certification of Green Building | units | 2 | 5 | ||
Number of LEED certifications | 13 | 32 | |||
Number of Wuyue Plazas opened or under construction | Wuyue Plazas | 15 | 4 | ||
Number of Wuyue Plazas with green mall certification | 15 | 32 | |||
Number of board partners in Wuyue Green and Low-Carbon Action 3+3 Initiative | partners | 30000 | 4 | ||
Number of green building certifications obtained (domestic and international) | certifications | 64 | 4 | ||
Number of national smart buildings | 4 | 32 | |||
Number of patrol process inspections conducted | 320 | 23 | |||
Number of projects with national green building operation labels | 45 | 32 | |||
Number of residential units delivered | 100000 | 5 | |||
Number of saplings donated by end of 2024 | saplings | 210000 | 58 | ||
Number of sponge city construction projects applied | projects | 67 | 39 | ||
Project process evaluation score (residential development stage, Real Estate Development Division) | points | 90 | 90 | 91 | 23 |
Total area of desert greened by end of 2024 | million square meters | 2.05 | 58 | ||
Total number of Wuyue Plazas with green mall certification | 100 | 32 | |||
Total number of green mall certifications | 100 | 36 | |||
Wuyue Plaza Certified as Green Malls (cumulative units) | units | 100 | 5 | ||
Wuyue Plaza Certified as Green Malls (units in 2024) | units | 15 | 5 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2024 | Report Pages |
---|---|---|---|---|
Annual revenue in commercial operations | RMB billion | RMB10 billion | 6 | |
Collective labor contract signing rate | % | 100 | 49 | |
Employees' labor contract signing rate | % | 100 | 49 | |
Employees' social insurance coverage rate | % | 100 | 49 | |
Number of Board of Directors aged between 30 and 40 | 1 | 13 | ||
Number of Board of Directors aged between 40 and 50 | 2 | 13 | ||
Number of Board of Directors aged between 50 and 60 | 2 | 13 | ||
Number of Board of Directors aged between 60 and 70 | 2 | 13 | ||
Number of Board of Directors meetings convened | 6 | 13 | ||
Number of Board of Directors with bachelor's degree | 1 | 13 | ||
Number of Board of Directors with doctorate degree | 1 | 13 | ||
Number of Board of Directors with master's degree | 5 | 13 | ||
Number of Board of Directors with term of service from five to ten years | 2 | 13 | ||
Number of Board of Directors with term of service less than five years | 2 | 13 | ||
Number of Board of Directors with term of service more than ten years | 1 | 13 | ||
Number of consecutive years awarded 'Best Employer in China' | years | 18 | 32 | |
Number of employees 30 years old and above | 14316 | 49 | ||
Number of employees in Jiangsu | 5713 | 49 | ||
Number of employees in Shanghai | 1049 | 49 | ||
Number of employees in Zhejiang | 1825 | 49 | ||
Number of employees in other regions | 11656 | 49 | ||
Number of employees under 30 years old | 5927 | 49 | ||
Number of executive directors on Board of Directors | 3 | 13 | ||
Number of female Board of Directors | 1 | 13 | ||
Number of female employees | 7016 | 49 | ||
Number of full-time employees | 20243 | 49 | ||
Number of independent non-executive directors on Board of Directors | 3 | 13 | ||
Number of male Board of Directors | 6 | 13 | ||
Number of male employees | 13227 | 49 | ||
Number of non-executive directors on Board of Directors | 1 | 13 | ||
Per capita paid annual leave days | days | 7.6 | 50 | |
Per capita paid welfare vacation days | days | 2.6 | 50 | |
Percentage of employees 30 years old and above | % | 70.72 | 49 | |
Percentage of employees in Jiangsu | % | 28.22 | 49 | |
Percentage of employees in Shanghai | % | 5.18 | 49 | |
Percentage of employees in Zhejiang | % | 9.02 | 49 | |
Percentage of employees in other regions | % | 57.58 | 49 | |
Percentage of employees under 30 years old | % | 29.28 | 49 | |
Percentage of female employees | % | 34.66 | 49 | |
Percentage of male employees | % | 65.34 | 49 | |
Rank among the Top 100 Private Enterprises in the Service Sector in China | 21 | 7 | ||
Rank among the Top 500 Private Enterprises in China | 82 | 7 | ||
Stakeholder composition: Employees | % | 63.48 | 9 | |
Stakeholder composition: Members of Board of Directors | % | 0.50 | 9 | |
Stakeholder composition: Members of Management Team | % | 0.25 | 9 | |
Stakeholder composition: Shareholders and Investors | % | 12.34 | 9 | |
Top 10 China Real Estate Developers in Commercial Real Estate Operation | Top 10 | 7 | ||
Top 10 China Real Estate Developers in Comprehensive Strength | Top 10 | 7 | ||
Top 10 China Real Estate Enterprises in Comprehensive Operations | Top 10 | 7 | ||
Top 10 China Real Estate Enterprises in Financing Capacities | Top 10 | 7 | ||
Top 10 China Real Estate Enterprises in Profitability | Top 10 | 7 | ||
Top 10 China Real Estate Listed Companies in Commercial Operations | Top 10 | 7 | ||
Top 10 China Real Estate Listed Companies in Comprehensive Strength | Top 10 | 7 | ||
Total Assets | billion | 309.1 | 5 | |
Total Workforce | employees | 20243 | 5 | |
Total number of employees | 20243 | 49 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Employee turnover rate (30 years old and above) | % | 8.49 | 50 |
Employee turnover rate (Jiangsu) | % | 11.21 | 50 |
Employee turnover rate (Other regions) | % | 10.45 | 50 |
Employee turnover rate (Shanghai) | % | 14.23 | 50 |
Employee turnover rate (Zhejiang) | % | 0.87 | 50 |
Employee turnover rate (female) | % | 12.42 | 50 |
Employee turnover rate (male) | % | 8.80 | 50 |
Employee turnover rate (overall) | % | 10.09 | 50 |
Employee turnover rate (under 30 years old) | % | 13.71 | 50 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Accident rate (all employees, contractors, and suppliers) per million square meters | per million square meters | <0.1 | 51 |
Minor injury rate per thousand people | per thousand people | ≤2 | 51 |
Number of general and above work safety accidents | Accident | 5 | 53 |
Number of major safety hazards | Hazard | 58 | 53 |
Serious injury rate per thousand people | per thousand people | ≤2 | 51 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Annual safety operations investment | million | RMB 16.36 | 4 |
Coverage rate of safety training | % | 100 | 53 |
Emergencies | Emergency | 38 | 53 |
Number of items of inspection during operation period | 6470 | 23 | |
Number of operation period assessments | 588 | 23 | |
Number of regional inspections of projects during operation period | 2 | 23 | |
Rectification rate of major items subject to additional deduction of points | % | 100 | 23 |
Rectification rate of major items subject to double deduction of points | % | 100 | 23 |
Rectification rate of safety hazards | % | 100 | 53 |
Total Investment in Work Safety | million | 616.36 | 5 |
Total investment in work safety | RMB10000 | 27477 | 53 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Coverage of Online Employee Training | % | 100 | 5 |
Employee engagement index | % | 84 | 50 |
Employee online training coverage | % | 100 | 4, 55 |
Number of WELL certifications | 4 | 32 | |
Number of marketing course participants (online and offline) | participants | 10000 | 55 |
Number of offline training sessions conducted under Tuo, Ying, and Yin programs | sessions | 30 | 55 |
Number of training sessions conducted | Session | 15616 | 53 |
Percentage of female employees trained online | % | 44.81 | 55 |
Percentage of general employees trained online | % | 88.9 | 55 |
Percentage of male employees trained online | % | 55.19 | 55 |
Percentage of middle management trained online | % | 10.62 | 55 |
Percentage of senior management trained online | % | 0.48 | 55 |
Training sessions conducted | 3968 | 55 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Per capita duration of female employees trained online | hours | 61 | 55 |
Per capita duration of general employees trained online | hours | 59 | 55 |
Per capita duration of male employees trained online | hours | 51 | 55 |
Per capita duration of middle management trained online | hours | 36 | 55 |
Per capita duration of senior management trained online | hours | 7 | 55 |
Per capita online training duration | hours | 55 | 55 |
Per capita training investment | RMB | 329 | 55 |
Total investment in employee training | million RMB | 4.12 | 55 |
Training Investment Per Capita | 329 | 5 |
Number of suppliers by geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Green building materials suppliers accounted for | 70% | 32 | |
Number of new residential units developed | neighborhoods | 18 | 4 |
Number of suppliers engaged | suppliers | 5237 | 4 |
Outstanding Listed Real Estate Company by Agent-Construction Operation in China | Outstanding | 7 | |
Stakeholder composition: Brand Merchants | % | 1.76 | 9 |
Stakeholder composition: Industry Associations | % | 7.30 | 9 |
Stakeholder composition: Suppliers | % | 0.25 | 9 |
Year-on-year increase in green building materials suppliers | 16% | 32 |
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 | 2024 | Report Pages |
---|---|---|---|
Coverage of Supplier Training | % | 100 | 5 |
Number of batches in third-party process evaluations | batches | 209 | 23 |
Number of third-party delivery evaluations (including pre-opening inspections) | 187 | 23 | |
Number of third-party process evaluations conducted | 141 | 23 | |
Signing Rate of the Honest Cooperation Agreement | % | 100 | 5 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of strategic cooperative suppliers for green building materials certification | 90 | 32 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of quality defects found | 9000 | 23 | ||
Number of quality residential properties provided nationwide | households | over 850000 | 6 | |
Stakeholder composition: Customers | % | 0.50 | 9 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2010 | 2013 | 2015 | 2017 | 2024 | Report Pages |
---|---|---|---|---|---|---|---|
Annual sales of Wuyue Plazas | RMB billion | RMB126.5 billion | 6 | ||||
Annual total sales | RMB billion | RMB10 billion | RMB20 billion | RMB30 billion | 6 | ||
Commercial customer satisfaction score | 87 | 25 | |||||
Commercial stores satisfaction score | 94 | 25 | |||||
Contracted Sales | billion | 40.2 | 5 | ||||
Net profit Attributable to Equity Holders | million | 490 | 5 | ||||
Number of customer inquiries and complaints handled by 4008 call center | customer inquiries and complaints | 49405 | 24 | ||||
Number of customer inquiries and complaints handled by service desk | customer inquiries and complaints | 3064 | 24 | ||||
Number of valid customer satisfaction business questionnaires collected throughout the year | 74649 | 25 | |||||
Rate of successful resolution of customer complaints | % | 95 | 24 | ||||
Real estate development satisfaction score | 65 | 25 | |||||
Response rate and feedback rate for customer inquiries, complaints, warranties and other matters regarding products and services (4008 call center) | % | 100 | 24 | ||||
Total commercial operation revenue | billion | RMB 12.8 | 4 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Cumulative Number of Authorized Patents | 613 | 5 | |
New Copyright Applications | 17 | 16 | |
New Trademark Registrations | 102 | 16 | |
Newly Granted Patents | 54 | 5, 16 | |
Total design patents as of end of reporting period | 463 | 16 | |
Total granted patents as of end of reporting period | 613 | 16 | |
Total invention patents as of end of reporting period | 11 | 16 | |
Total utility model patents as of end of reporting period | 139 | 16 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of quarterly joint inspections completed | regions | 13 | 23 | ||
Project delivery evaluation score (residential development stage, Real Estate Development Division) | points | 80 | 81 | 80 | 23 |
Rectification rate of significant quality risks | % | 100 | 23 | ||
Total number of items of inspection inspected | 55470 | 23 |
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 | 2024 | Report Pages |
---|---|---|---|
Number of interim reports published by Seazen and its subsidiaries | 114 | 13 | |
Number of major items subject to additional deduction of points | 213 | 23 | |
Number of major items subject to double deduction of points | 1026 | 23 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of audit-related reports received by the Audit and Supervision Center of Seazen Group | reports | 30 | 15 |
Number of declarations on conflict of interest | 40000 | 16 | |
Number of integrity survey responses collected | 26000 | 16 | |
Number of recommendation-related reports received by the Audit and Supervision Center of Seazen Group | reports | 8 | 15 |
Number of regular reports published by Seazen and its subsidiaries | 7 | 13 | |
Number of special assessments conducted | 182 | 23 | |
Number of specialized committee meetings of the Board of Directors | 9 | 13 | |
Number of supervision-related reports received by the Audit and Supervision Center of Seazen Group | reports | 16 | 15 |
Total number of reports received by the Audit and Supervision Center of Seazen Group | reports | 54 | 15 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Average hours of anti-corruption training per director (excluding independent directors) | hours | 7.5 | 16 |
Average hours of anti-corruption training per employee | hours | 2 | 16 |
Coverage rate of anti-corruption training of directors (excluding independent directors) | % | 100 | 16 |
Coverage rate of anti-corruption training of directors (including independent directors) | % | 40 | 16 |
Number of directors participating in anti-corruption training | members | 2 | 16 |
Number of employees participating in anti-corruption training | 19935 | 16 | |
Signing rate of the Clean and Self-discipline Commitment among employees | % | 100 | 16 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Commercial Operating Income | billion | 12.8 | 5 |
Donation to Dayu School in Yanch District, Yuncheng of Shanxi Province | million yuan | 3 | 58 |
Donation to Tianjin Ninghe District Charity Association | yuan | 300000 | 58 |
Excellent Operation Enterprise for Real Estate Development Services in China | Excellent | 7 | |
Government awards for green malls (cumulative) | yuan | 3 million | 32 |
Number of Wuyue Plazas participants in Glorious Library project | participants | 37015 | 58 |
Number of people reached by Wuyue Green and Low-Carbon Action 3+3 Initiative | million people | 43 | 4 |
Number of rural primary schools benefited by 'Colorful Light Plan' | schools | 74 | 4 |
Number of shareholders' meetings | 2 | 13 | |
Number of trees planted under New Green Action five-year plan | trees | 100000 | 58 |
Public welfare input from rural ecological revitalization activities in Alxa | yuan | 170000 | 58 |
Stakeholder composition: NGOs | % | 0.76 | 9 |
Stakeholder composition: Public | % | 12.09 | 9 |
Stakeholder composition: Research Institutions | % | 0.76 | 9 |
Top 10 Real Estate Developers in terms of Comprehensive Strength in Commercial Real Estate | Top 10 | 7 | |
Top 100 Commercial Real Estate Enterprises in China | Top 100 | 7 | |
Top 5 China Real Estate Listed Companies in Business Performance | Top 5 | 7 | |
Total area of residential units delivered | million square meters | 13.89 | 5 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2016 | 2024 | Report Pages |
---|---|---|---|---|
Amount allocated for employee and community assistance | RMB 130000 | 4 | ||
Annual sales | RMB billion | RMB65 billion | 6 | |
Assisted employees in need (total expenditure) | RMB | 130000 | 50 | |
Charitable donations for rural revitalization | million | RMB 2.19 | 4 | |
Cumulative Amount of Public Welfare Donations | million | 400 | 5 | |
Cumulative value of social welfare undertakings by Seazen | million RMB | 400 | 58 | |
Dedicated funds for rural revitalization invested by Seazen | million RMB | 2.19 | 58 | |
Distance traveled by Seazen volunteers for Tengger Desert tree planting | kilometers | 2157 | 58 | |
Number of books donated by 'Colorful Light Plan' | books | 220000 | 4 | |
Number of books donated by Wuyue Plazas participants for Glorious Library project | books | 36386 | 58 | |
Public welfare donations invested by Seazen | million RMB | 8.06 | 58 | |
Revenue | billion | 89.2 | 5 | |
The Company's Assistance Expenditure for Needy Employees | 130000 | 5 | ||
Total charitable donations | million | RMB 8.06 | 4 |
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 | 2022 | 2023 | 2024 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tCO2e | 30969 | 43527 | 34634 |
Indirect Energy Emissions (Scope 2) | tCO2 | 498799 | 451064 | 589068 |
Total GHG Emissions | tCO2e | 529767 | 494591 | 623702 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/million yuan | 53 | 44 | 49 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Non-Hazardous Waste (Construction Waste) | Tons | 53171 | 95089 | 81578 |
Non-Hazardous Waste (Domestic Waste) | Tons | 110105 | 223590 | 169112 |
Non-Hazardous Waste (Kitchen Waste) | Tons | 2252 | 6009 | 145565 |
Non-Hazardous Waste Disposed | Tons | 165528 | 324688 | 396255 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 |
---|---|---|
CO2 Emissions Reduction Compared to Last Year | tons | 17400 |
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 | 2022 | 2023 | 2024 |
---|---|---|---|---|
Energy Consumption Intensity (By Revenue) | MWh/RMB million | 63 | 52 | 59 |
Gasoline Consumption | L | 42597 | 89781 | 34947 |
Natural Gas Consumption | Ten thousand m³ | 1428 | 2004 | 1598 |
Purchased Electricity | MWh | 591825 | 679240 | 760650 |
Total Direct Energy Consumption | MWh | 139166 | 217513 | 173447 |
Total Energy Consumption | MWh | 627041 | 590443 | 766380 |
Total Indirect Energy Consumption | MWh | 587845 | 498670 | 669660 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Water Consumption | Tons | 16610574 | 20512761 | 25323128 |
Water Consumption Intensity (By Revenue) | Tons/RMB million | 1697 | 1883 | 1977 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Employees Aged 30-50 | employees | 14316 |
Number of Employees Aged Below 30 | employees | 5927 |
Number of Employees in Mainland China | employees | 20243 |
Number of Female Employees | employees | 7016 |
Number of Full-time Employees | employees | 20243 |
Number of Male Employees | employees | 13227 |
Number of Total Employees | employees | 20243 |
Percentage of Employees Aged 30-50 | % | 70.72 |
Percentage of Employees Aged Below 30 | % | 29.28 |
Percentage of Employees in Mainland China | % | 100 |
Percentage of Female Employees | % | 34.66 |
Percentage of Male Employees | % | 65.34 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 8.49 |
Turnover Rate of Employees Aged Below 30 | % | 13.71 |
Turnover Rate of Female Employees | % | 12.42 |
Turnover Rate of Male Employees | % | 8.8 |
Turnover Rate of Total Employees | % | 10.09 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2024 |
---|---|---|
Investment in Work Safety | million RMB | 616.36 |
Participation Rate of Safety Training | % | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2024 |
---|---|---|
Percentage of Employees Trained | % | 100 |
Percentage of Trained Female Employees | % | 44.81 |
Percentage of Trained General Employees | % | 88.9 |
Percentage of Trained Male Employees | % | 55.19 |
Percentage of Trained Middle Management | % | 10.62 |
Percentage of Trained Senior Management | % | 0.48 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2024 |
---|---|---|
Average Training Hours (Female) | hours | 61 |
Average Training Hours (General Employees) | hours | 59 |
Average Training Hours (Male) | hours | 51 |
Average Training Hours (Middle Management) | hours | 36 |
Average Training Hours (Senior Management) | hours | 7 |
Average Training Hours per Employee | hours | 55 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Total Suppliers | suppliers | 5237 |
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 | 2024 |
---|---|---|
Percentage of Suppliers Participated in Anti-corruption Training | % | 100 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2024 |
---|---|---|
Complaints Handling Rate | % | 95 |
Total Number of Customer Complaints | customer inquiries and complaints | 52469 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2024 |
---|---|---|
Accumulative Number of Patents Granted | 613 | |
Number of Authorised Utility Model Patents | 139 | |
Number of Invention Patents | 11 | |
Number of Patents Granted | 54 | |
Number of Patents Held | 613 | |
Number of Trademark Registrations | 102 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2024 |
---|---|---|
Anti-corruption Training Coverage among Directors and Management | % | 100 |
Average Anti-corruption Training Hours for Directors and Management | hours | 7.5 |
Average Anti-corruption Training Hours for General Employees | hours | 2 |
Average Hours of Anti-corruption Training | hours | 2.06 |
Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 |
Coverage of Anti-corruption Training for Employees | % | 100 |
Number of Directors and Management Attendance for Anti-corruption Training | people | 2 |
Number of General Employees Attendance for Anti-corruption Training | people | 19935 |
Number of People Participated in Ethical Standards and Anti-corruption Training | people | 19937 |
Total Anti-corruption Training Hours for Directors and Management | hours | 15 |
Total Hours of Anti-corruption Training | hours | 39885 |
Total Hours of Anti-corruption Training for Employees | hours | 39870 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2024 |
---|---|---|
Investment in Targeted Poverty Alleviation | million RMB | 2.19 |
Total Public Welfare Donations | million RMB | 8.06 |
Total Social Investment | million RMB | 400 |