2024 Environmental, Social and Governance 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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Electricity CO2 Emissions | kilotonnes CO2 | 19.83 | 20.24 | 22 |
| Gas CO2 Emissions | kilotonnes CO2 | 0.025 | 0.015 | 22 |
| Oil CO2 Emissions | kilotonnes CO2 | 0.04 | 0.01 | 22 |
| Scope 1 carbon emissions | tonnes/year | 296.31 | 43 | |
| Scope 1 carbon emissions (SGS Standard) | tonnes/year | 352.53 | 296.31 | 42 |
| Scope 2 carbon emissions | tonnes/year | 14355.74 | 43 | |
| Scope 2 carbon emissions (SGS Standard) | tonnes/year | 14062.48 | 14355.74 | 42 |
| Scope 3 - Business travel carbon emissions | tonnes/year | 21.98 | 43 | |
| Scope 3 - Capital goods carbon emissions | tonnes/year | 115.48 | 43 | |
| Scope 3 - Down-stream distribution and transportation carbon emissions | tonnes/year | 140.58 | 43 | |
| Scope 3 - Emission during normal operations | tonnes/year | 11.85 | 43 | |
| Scope 3 - Finished goods usage carbon emissions | tonnes/year | 678199.61 | 43 | |
| Scope 3 - Fuels and energy carbon emissions | tonnes/year | 4672.58 | 43 | |
| Scope 3 - Purchased goods and services carbon emissions | tonnes/year | 52593.1 | 43 | |
| Scope 3 - Staff going to factory carbon emissions | tonnes/year | 87.8 | 43 | |
| Scope 3 - Up-stream distribution and transportation carbon emissions | tonnes/year | 68.5 | 43 | |
| Scope 3 subtotal carbon emissions | tonnes/year | 735911.48 | 43 | |
| Total CO2 emission | kilotonnes | 19.89 | 20.27 | 22 |
| Total carbon emissions (Scope 1, 2, 3) | tonnes/year | 750563.53 | 43 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Hazardous waste at Nansha factory | tonnes | 70.68 | 23 |
| Increase in hazardous waste at Nansha factory compared to 2023 | tonnes | 10.62 | 23 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Decrease in non-hazardous waste at Nansha factory compared to previous year | tonnes | -181.73 | 23 |
| Non-hazardous waste collected at Nansha factory | tonnes | 781.81 | 23 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2030 | 2050 | 2080 | Report Pages |
|---|---|---|---|---|---|
| Carbon offset increases (IPCC AR6 SSP2-4.5 Scenario Percentage of Risk Value) | % | 3%-5% | 6%-10% | 10%-15% | 37 |
| Carbon offset increases (IPCC AR6 SSP5-8.5 Scenario Percentage of Risk Value) | % | 5%-8% | 12%-18% | 20%-30% | 37 |
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 | 2024 | Report Pages |
|---|---|---|---|---|
| Electricity Consumption | GWh | 25.26 | 25.78 | 22 |
| Gas Consumption | kgs | 12876.15 | 8048 | 22 |
| Oil Consumption | tonnes | 13.72 | 2.18 | 22 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Water Consumption | 000 m3 | 190.73 | 206.87 | 22 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Packaging Materials Used for Finished Goods | tonnes | 3483.61 | 4199.18 | 22 |
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 | 2030 | 2050 | 2080 | Report Pages |
|---|---|---|---|---|---|
| Coastal flooding risk (SSP2-4.5 scenario, Nansha District) | Percentage of value of risk | 2%-5% | 5%-10% | 10%-15% | 39 |
| Coastal flooding risk (SSP5-8.5 scenario, Nansha District) | Percentage of value of risk | 5%-10% | 10%-20% | 20%-40% | 39 |
| Coastal flooding risk value (IPCC AR6 SSP2-4.5 scenario) | percentage | 2%-5% | 5%-10% | 10%-15% | 36 |
| Coastal flooding risk value (IPCC AR6 SSP5-8.5 scenario) | percentage | 5%-10% | 15%-25% | 30%-50% | 36 |
| Extreme cold risk (SSP2-4.5 scenario, Nansha District) | Percentage of value of risk | <1% | <1% | <1% | 39 |
| Extreme cold risk (SSP5-8.5 scenario, Nansha District) | Percentage of value of risk | <1% | <1% | <1% | 39 |
| Extremely cold risk value (IPCC AR6 SSP2-4.5 scenario) | percentage | 0% | 0% | 0% | 36 |
| Extremely cold risk value (IPCC AR6 SSP5-8.5 scenario) | percentage | 0% | 0% | 0% | 36 |
| Extremely high temperature risk value (IPCC AR6 SSP2-4.5 scenario) | percentage | 1%-3% | 3%-8% | 8%-15% | 36 |
| Extremely high temperature risk value (IPCC AR6 SSP5-8.5 scenario) | percentage | 5%-10% | 15%-25% | 30%-50% | 36 |
| Increased cost of upgrading assets to green assets (IPCC AR6 SSP2-4.5 Scenario Percentage of Risk Value) | % | 5%-8% | 10%-15% | 15%-20% | 37 |
| Increased cost of upgrading assets to green assets (IPCC AR6 SSP5-8.5 Scenario Percentage of Risk Value) | % | 8%-12% | 15%-25% | 25%-40% | 37 |
| Increased electricity bill (IPCC AR6 SSP2-4.5 Scenario Percentage of Risk Value) | % | 2%-3% | 4%-6% | 8%-12% | 37 |
| Increased electricity bill (IPCC AR6 SSP5-8.5 Scenario Percentage of Risk Value) | % | 4%-6% | 8%-15% | 15%-25% | 37 |
| Sea level rise in Nansha District (SSP2-4.5 scenario) | meters | 0.3 | 0.6 | 1.1 | 38 |
| Sea level rise in Nansha District (SSP5-8.5 scenario) | meters | 0.5 | 1.2 | 2 | 38 |
| Typhoon risk (SSP2-4.5 scenario, Nansha District) | Percentage of value of risk | 3%-6% | 6%-12% | 12%-20% | 39 |
| Typhoon risk (SSP5-8.5 scenario, Nansha District) | Percentage of value of risk | 8%-15% | 15%-30% | 30%-50% | 39 |
| Typhoon risk value (IPCC AR6 SSP2-4.5 scenario) | percentage | 3%-6% | 6%-12% | 12%-20% | 36 |
| Typhoon risk value (IPCC AR6 SSP5-8.5 scenario) | percentage | 8%-15% | 20%-35% | 40%-60% | 36 |
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 awarded gold medals for over 20 years of service during Nansha Factory 30th Anniversary | employees | 248 | 48 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | FY 2022 | FY 2023 | FY 2024 | Report Pages |
|---|---|---|---|---|---|
| Percentage of work-related fatalities | % | 0% | 0% | 0% | 15 |
Lost days due to work injury.
| Indicator | Unit | FY 2024 | Report Pages |
|---|---|---|---|
| Lost days due to work injury | days | 189 | 15 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Percentage of total products shipped subject to recalls for malfunctioning reasons | % | 0.005 | 7 |
| Total products recalled due to quality issues | pieces | 583 | 7 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of customer complaints received | cases | 11 | 7 |
| Total products sold or shipped | pieces of finished goods | 11705458 | 7 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| ISO 27001 certification for cybersecurity and data protection | Obtained | 6 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | 2024 | 2024 and 2025 | Report Pages |
|---|---|---|---|---|---|
| Digital transformation - implementation of more digitalized processes at Nansha factory in PRC | Will implement | 6 | |||
| Digital transformation - paperless operation and digitalized processes at Hong Kong headquarters | Started | 6 | |||
| Number of employees' children awarded scholarships for higher education admission | 24 | 55 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2024 | Report Pages |
|---|---|---|---|---|
| Amount donated by Nansha Factory to support social welfare projects | yuan | 711000 | 48 | |
| Direct economic loss of Nansha District by typhoon Mangosteen | million yuan | 33.03 | 38 | |
| Total value of scholarships awarded to employees' children admitted to higher education institutions | yuan | 59000 | 55 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit |
|---|---|
| Airborne Particulate Matter (PM) Emissions | g |
| NOâ‚“ Emissions | g |
| SOâ‚“ Emissions | g |
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 | 2024 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes/year | 352.53 | 296.31 |
| Indirect Energy Emissions (Scope 2) | tonnes/year | 14062.48 | 14355.74 |
| Scope 3 GHG Emissions (Business Travel) | tonnes/year | 21.98 | |
| Scope 3 GHG Emissions (Capital Goods) | tonnes/year | 115.48 | |
| Scope 3 GHG Emissions (Downstream Transportation and Distribution) | tonnes/year | 140.58 | |
| Scope 3 GHG Emissions (Employee Commuting) | tonnes/year | 87.8 | |
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | tonnes/year | 4672.58 | |
| Scope 3 GHG Emissions (Purchased Goods/Services) | tonnes/year | 52593.1 | |
| Scope 3 GHG Emissions (Upstream Transportation and Distribution) | tonnes/year | 68.5 | |
| Scope 3 GHG Emissions (Use of Sold Products) | tonnes/year | 678199.61 | |
| Total GHG Emissions | tonnes/year | 19890 | 750563.53 |
| Total Other Indirect Energy Emissions (Scope 3) | tonnes/year | 735911.48 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Hazardous Waste | tonnes | 70.68 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Non-Hazardous Waste Disposed | tonnes | 781.81 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | -15.95 |
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 | 2024 |
|---|---|---|---|
| Grid Electricity Consumption | GWh | 25.26 | 25.78 |
| Heating Oil Consumption | tonnes | 13.72 | 2.18 |
| Natural Gas Consumption | kgs | 12876.15 | 8048 |
| Purchased Electricity | GWh | 25.26 | 25.78 |
| Total Direct Energy Consumption | tonnes | 12876.15 | 2.18 |
| Total Indirect Energy Consumption | GWh | 25.26 | 25.78 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Water Consumption | 000 m3 | 190.73 | 206.87 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Packaging Materials Consumed | tonnes | 3483.61 | 4199.18 |
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 | employees | 1224 |
| Number of Employees Aged Above 50 | employees | 684 |
| Number of Employees Aged Below 30 | employees | 489 |
| Number of Female Employees | employees | 1443 |
| Number of Full-time Employees | employees | 2397 |
| Number of Male Employees | employees | 954 |
| Number of Total Employees | employees | 2397 |
| Percentage of Employees Aged 30-50 | % | 51.07 |
| Percentage of Employees Aged Above 50 | % | 28.53 |
| Percentage of Employees Aged Below 30 | % | 20.4 |
| Percentage of Female Employees | % | 60.2 |
| Percentage of Full-time Employees | % | 100 |
| Percentage of Male Employees | % | 39.8 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Employees Aged 30-50 | % |
| Turnover Rate of Employees Aged Above 50 | % |
| Turnover Rate of Employees Aged Below 30 | % |
| Turnover Rate of Female Employees | % |
| Turnover Rate of Male Employees | % |
| Turnover Rate of Total Employees | % |
Lost days due to work injury.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 189 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Trained Female Employees | % |
| Percentage of Trained General Employees | % |
| Percentage of Trained Male Employees | % |
| Percentage of Trained Middle Management | % |
| Percentage of Trained Production Employees | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Female) | hrs |
| Average Training Hours (General Employees) | hours |
| Average Training Hours (Male) | hrs |
| Average Training Hours (Middle Management) | hours |
| Average Training Hours (Production Employees) | hours |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers in Overseas | |
| Number of Total Suppliers |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Recalled Products for Safety and Health Reasons | pieces | 583 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Number of Customer Complaints | cases | 11 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Employee Coverage of Data Security Training | % coverage | 100 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Investment in Education Donation | yuan | 59000 |
| Total Public Welfare Donations | yuan | 770000 |
| Total Social Investment | yuan | 770000 |