2019 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Nitrogen oxides | Tonne | 0.003 | 85 |
| Sulfur dioxide | Tonne | 0.0004 | 85 |
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 | 2019 | Report Pages |
|---|---|---|---|
| GHG Direct emission (Scope 1) - Natural gas | Tonne | 55.18 | 85 |
| GHG Direct emission (Scope 1) - Vehicle fuel consumption | Tonne | 54.45 | 85 |
| GHG Indirect emission (Scope 2) - Purchased electricity | Tonne | 3578.69 | 85 |
| GHG emissions per m² of floor area (Scope 1 and Scope 2) | Tonne/m² | 0.13 | 85 |
| Total GHG emissions (Scope 1 and Scope 2) | Tonne | 3688.33 | 85 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Total amount of hazardous waste | Tonne | 0.13 | 85 |
| Total hazardous waste per m² of floor area | Tonne/m² | 0.000005 | 85 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Total non-hazardous waste | Tonne | 525 | 85 |
| Total non-hazardous waste per m² of floor area | Tonne/m² | 0.02 | 85 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Energy consumption per m² of floor area | MWh/m² | 0.25 | 86 |
| Natural gas consumption | MWh | 282.22 | 86 |
| Number of committed aircraft | 187 | 32 | |
| Number of owned aircraft | 228 | 32 | |
| Purchased electricity | MWh | 6595.79 | 86 |
| Total energy consumption | MWh | 7100.45 | 86 |
| Total number of aircraft in fleet | 420 | 32 | |
| Vehicle fuel consumption | MWh | 222.44 | 86 |
| Worth of new energy vehicles (including buses and other vehicles) introduced in Shenzhen under the Group’s initiative | RMB billion | 3.97 | 45 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Daily water consumption per m² of floor area | Tonne/m² | 1.21 | 86 |
| Daily workplace water consumption | Tonne | 33610 | 86 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of energy-saving aircraft added (2 for 737MAX, 5 for A330neo, 16 for A320/321neo) | 23 | 32 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Total paper consumption | Tonne | 7.83 | 86 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of green chartered ships delivered | ships | 19 | 17 |
| Number of new energy buses substituted by major bus companies | buses | 4300 | 17 |
| Number of new energy vehicles (including buses and other vehicles) introduced in Shenzhen under the Group’s initiative | 27752 | 45 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of domestic employees | Person | 237 | 87 |
| Number of employees aged 35 or under | Person | 160 | 57, 87 |
| Number of employees aged 35 to 55 | Person | 180 | 57 |
| Number of employees aged 35-55 | Person | 180 | 87 |
| Number of employees aged 55 or above | Person | 14 | 57, 87 |
| Number of employees being junior college graduates or below | Person | 22 | 57 |
| Number of employees who are junior college graduate or below | Person | 22 | 87 |
| Number of employees with Bachelor's degree | Person | 135 | 87 |
| Number of employees with a bachelor's degree | Person | 135 | 57 |
| Number of employees with a master's degree or above | Person | 197 | 57 |
| Number of employees with master's degree or above | Person | 197 | 87 |
| Number of female employees | Person | 140 | 57, 87 |
| Number of grassroots employees | Person | 272 | 87 |
| Number of intermediate management | Person | 71 | 87 |
| Number of labor contract employees | Person | 354 | 87 |
| Number of male employees | Person | 214 | 57, 87 |
| Number of managed aircraft | 5 | 32 | |
| Number of overseas employees | Person | 117 | 87 |
| Number of senior management | Person | 11 | 87 |
| Total assets | RMB billion | 261.3 | 9 |
| Total number of employees | Person | 354 | 87 |
| Year-on-year increase in total assets | % | 9.8 | 9 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Overall turnover rate of employees | % | 8.5 | 87 |
| Turnover rate of domestic employees | % | 5.9 | 87 |
| Turnover rate of employees aged 35 or below | % | 8.8 | 87 |
| Turnover rate of employees aged 35-55 | % | 7.8 | 87 |
| Turnover rate of employees aged 55 or above | % | 14.3 | 87 |
| Turnover rate of female employees | % | 10 | 87 |
| Turnover rate of male employees | % | 7.5 | 87 |
| Turnover rate of overseas employees | % | 13.7 | 87 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Lost working days due to work injury | Day | 26 | 88 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee participation rate in training sessions | % | 98.73 | 58 |
| Number of people provided with on-the-job training or employment opportunities through Truly (Renshou) project | people | 1500 | 13 |
| Number of training sessions organized | sessions | 249 | 58 |
| Percentage of female employees trained | % | 100 | 88 |
| Percentage of grassroots employees trained | % | 99.38 | 88 |
| Percentage of intermediate management trained | % | 100 | 88 |
| Percentage of male employees trained | % | 98.01 | 88 |
| Percentage of senior management trained | % | 81.82 | 88 |
| Total number of employees trained | Person | 234 | 88 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average online training time per person | hours | 62.86 | 58 |
| Average training hours of employees | Hour/person | 180.46 | 88 |
| Average training hours of female employees | Hour/person | 177.37 | 88 |
| Average training hours of grassroots employees | Hour/person | 165.81 | 88 |
| Average training hours of intermediate management | Hour/person | 212.92 | 88 |
| Average training hours of male employees | Hour/person | 182.23 | 88 |
| Average training hours of senior management | Hour/person | 198.91 | 88 |
| Average training time per person | hours | 180.46 | 58 |
| Number of training | Incidence | 249 | 88 |
| Total hours of online training provided | hours | 14897.45 | 58 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Lease financing provided to new lessees in the Yangtze River Economic Belt | RMB billion | 28.4 | 45 |
| Lease financing to new lessees | RMB billion | 93.2 | 9 |
| Leasing amount provided to 229 medium, small, and micro enterprise customers in the Greater Bay Area | RMB million | 915 | 45 |
| Number of agreements and vehicles involved in leasing in the Greater Bay Area | 619 | 45 | |
| Number of new airline customers | 22 | 32 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Five-year equipment rental service value for Truly (Renshou) high-end display manufacturing project | billion RMB | 2.5 | 13 |
| Proportion of Group’s business accounted for by lease financing to new lessees in the Yangtze River Economic Belt | 30.46% | 45 | |
| Total number of complaints | Incidence | 3 | 88 |
| Year-on-year increase in lease financing to new lessees | % | 12.7 | 9 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Year-on-year increase in net profit | % | 17.2 | 9 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of anti-corruption trainings provided to employees | Incidence | 8 | 88 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of registered poverty-stricken people provided with on-the-job training or employment opportunities through Truly (Renshou) project | people | 100 | 13 |
| Total funds provided for credit granting services in the Yellow River Basin | RMB billion | 19 | 45 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| NOₓ Emissions | Tonne | 0.003 |
| SOₓ Emissions | Tonne | 0.0004 |
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 | 2019 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | Tonne | 109.63 |
| GHG Emissions from Natural Gas | Tonne | 55.18 |
| GHG Emissions from Purchased Electricity | Tonne | 3578.69 |
| Indirect Energy Emissions (Scope 2) | Tonne | 3578.69 |
| Mobile Combustion Emissions | Tonne | 54.45 |
| Stationary Combustion Emissions | Tonne | 55.18 |
| Total GHG Emissions | Tonne | 3688.33 |
| Total GHG Emissions Intensity (By Area) | Tonne/m² | 0.13 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Hazardous Waste | Tonne | 0.13 |
| Total Hazardous Waste Intensity (By Area) | Tonne/m² | 0.000005 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Non-Hazardous Waste Intensity (By Area) | Tonne/m² | 0.02 |
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 | 2019 |
|---|---|---|
| Energy Consumption Intensity (By Area) | MWh/m² | 0.25 |
| Natural Gas Consumption | MWh | 282.22 |
| Purchased Electricity | MWh | 6595.79 |
| Total Energy Consumption | MWh | 7100.45 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Water Consumption | Tonne | 33610 |
| Water Consumption Intensity (By Revenue) | Tonne/m² | 1.21 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Packaging Material Consumption (Paper) | Tonne | 7.83 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Bachelor's Degree Employees | Person | 135 |
| Number of Below Junior College Employees | Person | 22 |
| Number of Employees Aged Above 50 | Person | 14 |
| Number of Employees in Overseas | Person | 117 |
| Number of Female Employees | Person | 140 |
| Number of Male Employees | Person | 214 |
| Number of Master's Degree Employees | Person | 197 |
| Number of Senior Management Employees | Person | 11 |
| Number of Total Employees | Person | 354 |
| Percentage of Female Employees | % | 39.55 |
| Percentage of Male Employees | % | 60.45 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Employees in Overseas | % | 13.7 |
| Turnover Rate of Female Employees | % | 10 |
| Turnover Rate of Male Employees | % | 7.5 |
| Turnover Rate of Total Employees | % | 8.5 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 26 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | % | 98.73 |
| Percentage of Trained Female Employees | % | 100 |
| Percentage of Trained General Employees | % | 99.38 |
| Percentage of Trained Male Employees | % | 98.01 |
| Percentage of Trained Middle Management | % | 100 |
| Percentage of Trained Senior Management | % | 81.82 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours (Female) | hours | 177.37 |
| Average Training Hours (General Staff) | hours | 165.81 |
| Average Training Hours (Male) | hours | 182.23 |
| Average Training Hours (Middle Management) | hours | 212.92 |
| Average Training Hours (Senior Management) | hours | 198.91 |
| Average Training Hours per Employee | hours | 180.46 |
| Total Training Hours | hours | 14897.45 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Number of Customer Complaints | Incidence | 3 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Anti-corruption Training Session | Incidence | 8 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB billion | 19 |