Environmental, Social and Governance Report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Emission density of air pollutants | Kilogram/million revenue | 0.5 | 34 |
Nitrogen oxide emission | Kilogram | 3064.5 | 34 |
Particulate emission | Kilogram | 40.2 | 34 |
Sulfur oxide emission | Kilogram | 969.1 | 34 |
Total chemical oxygen demand | Ton | 133.9 | 34 |
Total emissions of air pollutants | Kilogram | 4073.7 | 34 |
Total emissions of wastewater | Ton | 307225.3 | 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).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Density of greenhouse gas | Tons of carbon dioxide equivalent/million revenue | 6.6 | 41 |
Greenhouse gas emissions of scope 1 | Tons of carbon dioxide equivalent | 4048.2 | 41 |
Greenhouse gas emissions of scope 2 | Tons of carbon dioxide equivalent | 48905.8 | 41 |
Total emissions of greenhouse gas | Tons of carbon dioxide equivalent | 52954 | 41 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Harmful waste density | Kilogram/million revenue | 0.5 | 34 |
Harmful wastes | Kilogram | 3854.9 | 34 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Harmless waste density | Ton/million revenue | 6.2 | 34 |
Harmless wastes | Ton | 49447.9 | 34 |
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 | 2020 | Report Pages |
---|---|---|---|
Kitchen waste processed | tons | 328847 | 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 | 2020 | Report Pages |
---|---|---|---|
Comprehensive energy consumption | Kilowatt-hour | 72405955.6 | 32 |
Comprehensive energy consumption density | Kilowatt-hour/million revenue | 9020.6 | 32 |
Diesel oil consumption | Liter | 914957.6 | 32 |
Energy produced from biogas power generation | kWh | 6492304 | 5 |
Gasoline consumption | Liter | 502368.8 | 32 |
Liquid petroleum gas consumption | Kilogram | 735 | 32 |
Natural gas consumption | Cubic meter | 120874.1 | 32 |
Number of LED lamps used on highway operated by Shenzhen Expressway | 13000 | 32 | |
On-grid energy produced from wind power generation | MWh | 644131 | 5 |
On-grid power of Shenzhen Expressway wind power generation | MWh | 644131 | 41 |
Power consumption | Kilowatt-hour | 57686809 | 32 |
Reduction in standard coal due to wind power generation | tons | 197000 | 41 |
Wind turbine development and design (capacity) | MW | 3.3 | 56 |
Wind turbine optimization design and certification, testing (capacity) | MW | 2.5 | 56 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Total density of wastewater | Ton/million revenue | 38.3 | 34 |
Utilization density of water resources | Ton/million revenue | 148.4 | 32 |
Water resources consumption | Tons | 1191066.6 | 32 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Annual power consumption reduction from LED lamps compared with high voltage sodium lamps | 54.5% | 32 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Average daily ETC traffic flow on highways in Shenzhen, increase compared with 2019 | % | 40.7 | 4 |
Matrix of materiality issues for Shenzhen Expressway | See list of identified material issues | 15 | |
Rate of obstacle clearance in 20 minutes on the highway network of Shenzhen Expressway | % | 90 | 27 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Number of effective employee proposals solicited | 43 | 51 | ||||
Number of employees aged 31-40 | persons | 1472 | 46 | |||
Number of employees aged 41-50 | persons | 908 | 46 | |||
Number of employees over age 50 | persons | 292 | 46 | |||
Number of employees under age 30 | persons | 4033 | 46 | |||
Number of female employees | persons | 2689 | 46 | |||
Number of male employees | persons | 4016 | 46 | |||
Number of regular employees | persons | 6705 | 46 | |||
Shenzhen Expressway Overall Employee Satisfaction | % | 70 | 73 | 83 | 78 | 51 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Epidemic prevention personnel at toll stations | person-times | 19000 | 8 |
Number of joint quarantine points arranged | points | 72 | 4 |
Number of people arranged at joint quarantine points (average per day) | people | 3000 | 4 |
Potential hazards identified on highways by Shenzhen Expressway | 191 | 26 | |
Rectification rate of potential hazards on highways by Shenzhen Expressway | 100% | 26 | |
Traffic safety facilities for epidemic prevention | facilities | 1520 | 8 |
Zero infection for employees | cases | zero | 4 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of female employees trained | Person-times | 133 | 50 |
Number of male employees trained | Person-times | 128 | 50 |
Number of management and professional employees trained | Person-times | 261 | 50 |
Total number of trainees | Person-times | 261 | 50 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Average training hours of female employees | Hour | 7.2 | 50 |
Average training hours of male employees | Hour | 8.2 | 50 |
Average training hours of management and professional employees | Hour | 7.7 | 50 |
Education and training rate of employees on work safety (Shenzhen Expressway) | 100% | 21 | |
Investment in research and development in the field of environmental protection | million | 22.32 | 56 |
Investment in research and development of Shenzhen Expressway | million | 60.551 | 56 |
Number of new employees trained in 2020 | Person | 54 | 50 |
Total investment in training in 2020 | RMB | 95235 | 50 |
Total training hours | Hour | 2004 | 50 |
Description of measures to review employment practices to avoid child and forced labour.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Employment of forced labor or child labor | No | 46 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Reduction in transit time of a single vehicle on highways within Shenzhen jurisdiction | seconds | 8 | 27 |
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 | 2020 | Report Pages |
---|---|---|---|
Number of vehicles with reduced or exempted tolls | vehicles | 63000000 | 4 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Number of rational complaints per 100 thousand vehicles accepted by Shenzhen Expressway | 0.04 | 28 | ||||
Rational rate, handling rate and response rate of rational complaints accepted by Shenzhen Expressway | 100% | 28 | ||||
Shenzhen Expressway Overall Customer Satisfaction Index | 84.5 | 85.6 | 86.5 | 86.8 | 29 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Authorized patents accumulated by Shenzhen Expressway | 275 | 56 | |
Authorized patents obtained | 275 | 5, 7 | |
Patents granted to Shenzhen Expressway | 17 | 56 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Inspection vehicles for epidemic prevention | million vehicles | 5.91 | 8 |
Inspections for epidemic prevention | million person-times | 9.8 | 8 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Donation to severely afflicted areas in Hubei | CNY | 6000000 | 4 | |
Investment in supporting employees with difficulties | 451900 | 5 | ||
Number of households in Xinmin Village, Heyuan that reached poverty alleviation standard | households | 62 | 60 | |
Number of stakeholder questionnaires analyzed for materiality assessment | 453 | 15 | ||
Social vehicles on highways with reduced or exempted tolls | million vehicles | 63 | 8 | |
Total investment in public welfare activities | million | 6 | 60 | |
Total number of people arranged at joint quarantine points | people | 19000 | 4 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2016 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Amount invested in public welfare activities | million | 6 | 7 | ||
Collective income of Xinmin Village, Heyuan | 36000 | 357000 | 60 | ||
Disinfection articles provided to employees during COVID-19 epidemic | kg | 16000 | 8 | ||
Donations to severely afflicted areas in Hubei | million | 6 | 8 | ||
Increase in average daily ETC traffic flow on highways within Shenzhen jurisdiction | % | 40.7 | 27 | ||
Investment in road maintenance by Shenzhen Expressway | million | 182 | 26 | ||
Masks provided to employees during COVID-19 epidemic | million masks | 1.18 | 8 | ||
Number of registered poverty-stricken people in Xinmin Village, Heyuan that reached poverty alleviation standard | people | 145 | 60 | ||
Number of volunteers participating in public welfare activities | 769 | 60 | |||
Total hours of volunteer activities | hours | 1704 | 60 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2020 |
---|---|---|
Airborne Particulate Matter (PM) Emissions | Kilogram | 40.2 |
NOâ‚“ Emissions | Kilogram | 3064.5 |
SOâ‚“ Emissions | Kilogram | 969.1 |
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 | 2020 |
---|---|---|
Direct GHG Emissions (Scope 1) | Tons of carbon dioxide equivalent | 4048.2 |
Indirect Energy Emissions (Scope 2) | Tons of carbon dioxide equivalent | 48905.8 |
Total GHG Emissions | Tons of carbon dioxide equivalent | 52954 |
Total GHG Emissions Intensity (By Revenue) | Tons of carbon dioxide equivalent/million revenue | 6.6 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Total Hazardous Waste | Kilogram | 3854.9 |
Total Hazardous Waste Intensity (By Revenue) | Kilogram/million revenue | 0.5 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Non-Hazardous Waste Disposed | Ton | 49447.9 |
Total Non-Hazardous Waste Intensity (By Revenue) | Ton/million revenue | 6.2 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
CO2 Emissions Reduction Compared to Last Year | tons |
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 | 2020 |
---|---|---|
Biomass Energy | kWh | 6492304 |
Comprehensive Energy Consumption Intensity (By Revenue) | Kilowatt-hour/million revenue | 9020.6 |
Diesel Fuel Consumption | Liter | 914957.6 |
Energy Consumption Intensity (By Revenue) | Kilowatt-hour/million revenue | 9020.6 |
Gasoline Consumption | Liter | 502368.8 |
LPG Consumption | Kilogram | 735 |
Natural Gas Consumption | Cubic meter | 120874.1 |
Total Energy Consumption | Kilowatt-hour | 72405955.6 |
Wind Energy | MWh | 644131 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Total Wastewater Discharge | Ton/million revenue | 38.3 |
Water Consumption | Tons | 1191066.6 |
Water Consumption Intensity (By Revenue) | Ton/million revenue | 148.4 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | 54.5 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Bachelor's Degree Employees | persons | 1231 |
Number of Below Junior College Employees | persons | 3871 |
Number of Employees Aged 30-50 | persons | 2380 |
Number of Employees Aged Above 50 | persons | 292 |
Number of Employees Aged Below 30 | persons | 4033 |
Number of Employees in Hong Kong | persons | 6 |
Number of Employees in Hong Kong and Mainland China | persons | 6705 |
Number of Employees in Mainland China | persons | 6699 |
Number of Female Employees | persons | 2689 |
Number of Full-time Employees | persons | 6705 |
Number of General Employees | persons | 4002 |
Number of Male Employees | persons | 4016 |
Number of Management Employees | persons | 2703 |
Number of Master's Degree Employees | persons | 295 |
Number of New Employees | persons | 2555 |
Number of Total Employees | persons | 6705 |
Percentage of Employees Aged 30-50 | % | 35.48 |
Percentage of Employees Aged Above 50 | % | 4.35 |
Percentage of Employees Aged Below 30 | % | 60.15 |
Percentage of Employees in Hong Kong | % | 0.09 |
Percentage of Employees in Hong Kong and Mainland China | % | 100 |
Percentage of Employees in Mainland China | % | 99.91 |
Percentage of Female Employees | % | 40.13 |
Percentage of Full-time Employees | % | 100 |
Percentage of Male Employees | % | 59.87 |
Percentage of New Employees | % | 38.11 |
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 Employees in Mainland China | % |
Turnover Rate of Female Employees | % |
Turnover Rate of Male Employees | % |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 |
---|---|---|
Percentage of Trained Female Employees | percent of total trained employees | 133 |
Percentage of Trained Male Employees | percent of total trained employees | 128 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2020 |
---|---|---|
Average Training Hours (Female) | Hour | 7.2 |
Average Training Hours (Male) | Hour | 8.2 |
Average Training Hours (Senior Management) | Hour | 7.7 |
Total Training Hours | Hour | 2004 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2020 |
---|---|---|
Complaints Handling Rate | % | 100 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2020 |
---|---|---|
Accumulative Number of Patents Granted | 275 | |
Number of Patents Granted | 17 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 |
---|---|---|
Donations to Disaster Relief Contributions to Public Welfare | million | 6 |
Number of Employees Participating in Volunteer Activities | 769 | |
Number of Participations in Volunteer Activities | 769 | |
Total Public Welfare Donations | million | 6 |
Total Social Investment | million | 188 |
Total Volunteer Service Hours | hours | 1704 |