ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2018
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Direct emission - Automobile glass | thousand tonnes | 1 | 10 |
| Direct emission - Float glass | thousand tonnes | 3101 | 10 |
| Indirect emission - Architectural glass | thousand tonnes | 155 | 10 |
| Indirect emission - Automobile glass | thousand tonnes | 206 | 10 |
| Indirect emission - Float glass | thousand tonnes | 215 | 10 |
| Nitrogen oxides (NOₓ) emission | thousand tonnes | 3.6 | 8 |
| Particulates emission | thousand tonnes | 0.2 | 8 |
| Sulphur dioxide (SO₂) emission | thousand tonnes | 1.5 | 8 |
| Total direct emission - All categories | thousand tonnes | 3102 | 10 |
| Total emission of SO₂, NOₓ, and particulates | thousand tonnes | 5.3 | 8 |
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 | 2018 | Report Pages |
|---|---|---|---|
| Emission density - Architectural glass | MWh/m², tonne/m² | 0.04 | 14, 16 |
| Emission density - Automobile glass | MWh/m², tonne/m² | 0.01 | 10, 14, 16 |
| Emission density - Float glass | MWh/tonne, tonne/tonne | 2.12 | 10, 14, 16 |
| Emission density - Living area and office building | N/A | 14, 16 | |
| Total emission - All categories | thousand tonnes | 3678 | 10 |
| Total emission - Architectural glass | thousand tonnes | 155 | 10 |
| Total emission - Automobile glass | thousand tonnes | 207 | 10 |
| Total emission - Float glass | thousand tonnes | 3316 | 10 |
| Total indirect emission - All categories | thousand tonnes | 576 | 10 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Hazardous waste emission - Architectural glass | tonnes | 25 | 11 |
| Hazardous waste emission - Automobile glass | tonnes | 70 | 11 |
| Hazardous waste emission - Float glass | tonnes | 37 | 11 |
| Hazardous waste emission density - Float glass | kg/tonne | 0.01 | 11 |
| Hazardous waste emission density - Living area and office building | N/A | 11 | |
| Total hazardous waste emission | tonnes | 132 | 11 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Non-hazardous waste disposed | tonnes | 160000 | 12 |
| Shattered glass as percentage of non-hazardous waste | % | 75 | 12 |
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 | 2018 | Report Pages |
|---|---|---|---|
| Reduction in electricity consumption by air compressor per unit of glass - Shenzhen Industrial Park Automobile glass | 4.64% | 10 | |
| Reduction in electricity consumption per unit of glass - Shenzhen Industrial Park Automobile glass | 69.33% | 10 | |
| Total energy consumption of industrial parks - Architectural glass | GWh | 262 | 14 |
| Total energy consumption of industrial parks - Automobile glass | GWh | 202 | 14 |
| Total energy consumption of industrial parks - Float glass | GWh | 11294 | 14 |
| Total energy consumption of industrial parks - Living area and office building | GWh | 18 | 14 |
| Total energy consumption of industrial parks - Total | GWh | 11776 | 14 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Daily circulating water system - Dongguan Industrial Park | tonne/day | 240000 | 16 |
| Daily circulating water system - Jiangmen Industrial Park | tonne/day | 190000 | 16 |
| Total water consumption of industrial parks - Architectural glass | thousand tonne | 1793 | 16 |
| Total water consumption of industrial parks - Automobile glass | thousand tonne | 969 | 16 |
| Total water consumption of industrial parks - Float glass | thousand tonne | 6134 | 16 |
| Total water consumption of industrial parks - Living area and office building | thousand tonne | 1414 | 16 |
| Total water consumption of industrial parks - Total | thousand tonne | 10310 | 16 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Expected reduction in electricity consumption - Shenzhen Industrial Park Automobile glass | million kWh | 2.87 | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Annual general meeting attendance rate, Executive director, LEE Shing Kan | 1/1 | 45 | |
| Annual general meeting attendance rate, Executive director, LEE Yin Yee | 1/1 | 45 | |
| Annual general meeting attendance rate, Executive director, TUNG Ching Bor | 1/1 | 45 | |
| Annual general meeting attendance rate, Executive director, TUNG Ching Sai | 1/1 | 45 | |
| Annual general meeting attendance rate, Independent non-executive director, LAM Kwong Siu | 0/1 | 45 | |
| Annual general meeting attendance rate, Independent non-executive director, TAM Wai Hung, David | 1/1 | 45 | |
| Annual general meeting attendance rate, Independent non-executive director, TRAN Chuen Wah, John | 1/1 | 45 | |
| Annual general meeting attendance rate, Independent non-executive director, WONG Chat Chor Samuel | 0/1 | 45 | |
| Annual general meeting attendance rate, Independent non-executive director, WONG Ying Wai | 0/1 | 45 | |
| Annual general meeting attendance rate, Non-executive director, LI Ching Leung | 1/1 | 45 | |
| Annual general meeting attendance rate, Non-executive director, LI Ching Wai | 1/1 | 45 | |
| Annual general meeting attendance rate, Non-executive director, NG Ngan Ho | 1/1 | 45 | |
| Annual general meeting attendance rate, Non-executive director, SZE Nang Sze | 1/1 | 45 | |
| Employee age distribution: 20 or below | % | 1 | 26 |
| Employee age distribution: 21-30 | % | 31 | 26 |
| Employee age distribution: 31-40 | % | 39 | 26 |
| Employee age distribution: 41-50 | % | 25 | 26 |
| Employee age distribution: 51-60 | % | 4 | 26 |
| Employee gender ratio - Female | percent | 11% | 27 |
| Employee gender ratio - Male | percent | 89% | 27 |
| Employee region ratio - Local | percent | 30% | 27 |
| Employee region ratio - Other provinces | percent | 70% | 27 |
| Number of employees | 11866 | 26 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Overall employee turnover rate | % | 39 | 29 |
| Turnover rate by age group: 21-30 | % | 45 | 30 |
| Turnover rate by age group: 31-40 | % | 37 | 30 |
| Turnover rate by age group: 41-50 | % | 15 | 30 |
| Turnover rate by age group: 51-60 | % | 3 | 30 |
| Turnover rate by gender: Female | % | 8 | 30 |
| Turnover rate by gender: Male | % | 92 | 30 |
| Turnover rate by region - Local employees | percentage | 19% | 31 |
| Turnover rate by region - Other provinces employees | percentage | 81% | 31 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Overall percentage of employees accredited with titles | % | 10 | 29 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Average number of training hours per trainee | hours | 3.1 | 35 |
| Total number of training hours | hours | 173281 | 35 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Product recall rate due to quality problems | % | <0.4 | 38 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Board meetings attendance rate, Executive director, LEE Shing Kan | 6/6 | 45 | |
| Board meetings attendance rate, Executive director, LEE Yin Yee | 6/6 | 45 | |
| Board meetings attendance rate, Executive director, TUNG Ching Bor | 6/6 | 45 | |
| Board meetings attendance rate, Executive director, TUNG Ching Sai | 6/6 | 45 | |
| Board meetings attendance rate, Independent non-executive director, LAM Kwong Siu | 5/6 | 45 | |
| Board meetings attendance rate, Independent non-executive director, TAM Wai Hung, David | 6/6 | 45 | |
| Board meetings attendance rate, Independent non-executive director, TRAN Chuen Wah, John | 6/6 | 45 | |
| Board meetings attendance rate, Independent non-executive director, WONG Chat Chor Samuel | 5/6 | 45 | |
| Board meetings attendance rate, Independent non-executive director, WONG Ying Wai | 5/6 | 45 | |
| Board meetings attendance rate, Non-executive director, LI Ching Leung | 6/6 | 45 | |
| Board meetings attendance rate, Non-executive director, LI Ching Wai | 6/6 | 45 | |
| Board meetings attendance rate, Non-executive director, NG Ngan Ho | 6/6 | 45 | |
| Board meetings attendance rate, Non-executive director, SZE Nang Sze | 6/6 | 45 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of eligible children of employees benefitted by Xinyi Education Fund | 248 | 33 | |
| Total amount paid by Xinyi Education Fund | MYR | 990000 | 33 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | thousand tonnes | 0.2 |
| NOₓ Emissions | thousand tonnes | 3.6 |
| SOₓ Emissions | thousand tonnes | 1.5 |
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 | 2018 |
|---|---|---|
| Indirect Energy Emissions (Scope 2) | thousand tonnes | 576 |
| Total GHG Emissions | thousand tonnes | 3678 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Hazardous Waste | tonnes | 132 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Non-Hazardous Waste Disposed | tonnes | 160000 |
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 | 2018 |
|---|---|---|
| Total Energy Consumption | GWh | 11776 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Water Withdrawal | thousand tonne | 10310 |
| Water Consumption | thousand tonne | 10310 |
| Water Consumption in Office | thousand tonne | 1414 |
| Water Consumption in Production and Operation | thousand tonne | 8896 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | million kWh | 2.87 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit |
|---|---|
| Total Investment in Ecological Restoration | RMB |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Total Employees | 11866 | |
| Percentage of Employees Aged 30-50 | percent | 64 |
| Percentage of Employees Aged Above 50 | percent | 4 |
| Percentage of Employees Aged Below 30 | percent | 32 |
| Percentage of Female Employees | percent | 11 |
| Percentage of Male Employees | percent | 89 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 37 |
| Turnover Rate of Employees Aged Above 50 | % | 3 |
| Turnover Rate of Employees Aged Below 30 | % | 45 |
| Turnover Rate of Female Employees | % | 8 |
| Turnover Rate of Male Employees | % | 92 |
| Turnover Rate of Total Employees | % | 39 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Employees Trained | % | 10 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours per Employee | hours | 3.1 |
| Total Training Hours | hours | 173281 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Recalled Products for Safety and Health Reasons | % | <0.4 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Investment in Education Donation | MYR | 990000 |