2019 SUSTAINABILITY REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Exhaust gas emission | cubic meter | 48620000 | 37 |
| Exhaust gas emission intensity | cubic meter/RMB0000 revenue | 262.73 | 37 |
| Nitrogen oxides emission | ton | 5.64 | 37 |
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 | 2019 | Report Pages |
|---|---|---|---|---|
| GHG emission intensity | ton CO2e/RMB million revenue | 3.85 | 5.15 | 35 |
| GHG scope I | ton CO2e | 1371 | 3659 | 35 |
| GHG scope II | ton CO2e | 4984 | 5876 | 35 |
| Total GHG emission | ton CO2e | 6355 | 9535 | 35 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Non-hazardous waste | ton | 3677 | 3843 | 37 |
| Non-hazardous waste intensity | ton/RMB million revenue | 2.23 | 2.08 | 37 |
| Sewage discharge (water for the remains) | High-Materiality | 13 |
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 | 2019 | Report Pages |
|---|---|---|---|---|
| Coal | ton | 275 | 217 | 35 |
| Comprehensive energy consumption | mWh | 12380 | 22719 | 35 |
| Comprehensive energy consumption intensity | mWh/RMB million revenue | 7.5 | 12.28 | 35 |
| Diesel | litre | 96372 | 594612 | 35 |
| Gasoline | litre | 398435 | 35 | |
| Kerosene | litre | 14030 | 17761 | 35 |
| Natural gas | cubic meter | 204626 | 308447 | 35 |
| Purchased electricity | mWh | 7251 | 8556 | 35 |
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 |
|---|---|---|---|
| MSCI ESG rating | AA | 7 |
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 | 2019 | Report Pages |
|---|---|---|---|
| 2019 Sustainable Development Contribution Award | Awarded | 38 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| 2019 Outstanding Member (Unit) | Awarded | 38 | ||
| Total number of full-time employees | 2235 | 2349 | 24 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| employee turnover rate | % | 9.6 | 26 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of accidental sprain when walking up and down stairs | accident | 1 | 24 |
| Number of traffic accidents during commuting | accidents | 3 | 24 |
| Number of work-related accidents | accidents | 6 | 24 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of working days lost in work-related accidents without any fatality | days | 116 | 24 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| 2020 Enterprise Learning Trends List 'The Learning Platform Transformation Practice Award' | Awarded | 38 | ||
| number of outstanding employees and group representatives praised at 2019 New Year's party | 23 | 26 | ||
| number of outstanding employees commended at 2019 New Year's party | 10 | 26 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Average training hours by employee type (per year) - Marketing | hours | 49.5 | 63.5 | 24 |
| Average training hours by employee type (per year) - Non-marketing | hours | 10.6 | 36.1 | 24 |
| Average training hours by gender (per year) - Female | hours | 19.1 | 44.2 | 24 |
| Average training hours by gender (per year) - Male | hours | 21.1 | 42.3 | 24 |
| Total training hours (per year) | hours | 45318 | 101319 | 24 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| 2019 Snowball Most Growing Value Award | Awarded | 38 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| 2017–2018 Shanghai Contract honoring and Credit-keeping Enterprise | Awarded | 38 | |
| 2018 China IR Best Case Award | Awarded | 38 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| 2017–2018 Shanghai Civilized Unit | Awarded | 38 | |||||||
| 2018 Special Contribution Award from Shanghai Services Federation | Awarded | 38 | |||||||
| 2019 Application for Public Welfare • Top 10 Public Welfare Partner Enterprises | Awarded | 38 | |||||||
| 2019 Enterprise Social Responsibility Model Award (2019企业社会责任典范奖) | Awarded | 38 | |||||||
| 3A-level social organizations in Shanghai in 2019 | Awarded | 38 | |||||||
| Best Corporate Brand Award at China Enterprise Elite Awards | Awarded | 38 | |||||||
| Five-star Faculty's Home (Xiamen Huaixiang Condolence Services Company Limited) | Awarded | 38 | |||||||
| Model Enterprise for Funeral Reformation (Guizhou Tianyuanshan Funeral Service Co., Ltd.) | Awarded | 38 | |||||||
| Number of services | 18230 | 20131 | 26573 | 29237 | 32892 | 49000 | 55297 | 7 | |
| Outstanding Enterprise (Liaoning Guanlingshan Cultural Landscape Cemetery Co., Ltd.) | Awarded | 38 | |||||||
| Outstanding Organization Award of Funeral Profession Skill Competition (Guangxi Huaxy Yuan Investment Co., Ltd.) | Awarded | 38 | |||||||
| Shanghai Best Enterprise Newspaper in 2018 to 2019 | Awarded | 38 | |||||||
| Traditional cultural heritage | High-Materiality | 13 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| NOₓ Emissions | ton | 5.64 |
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 | 2019 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | ton CO2e | 1371 | 3659 |
| Indirect Energy Emissions (Scope 2) | ton CO2e | 4984 | 5876 |
| Total GHG Emissions | ton CO2e | 6355 | 9535 |
| Total GHG Emissions Intensity (By Revenue) | ton CO2e/RMB million revenue | 3.85 | 5.15 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | ton/RMB million revenue | 2.23 | 2.08 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % |
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 | 2019 |
|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | mWh/RMB million revenue | 7.5 | 12.28 |
| Diesel Fuel Consumption | litre | 96372 | 594612 |
| Energy Consumption Intensity (By Revenue) | GWh/million RMB revenue | 12.28 | |
| Gasoline Consumption | litre | 398435 | |
| Natural Gas Consumption | cubic meter | 204626 | 308447 |
| Purchased Electricity | mWh | 7251 | 8556 |
| Purchased Electricity Intensity (By Revenue) | GWh/million RMB revenue | 4.62 | |
| Total Energy Consumption | mWh | 12380 | 22719 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Water Consumption | tons/ten-thousand RMB revenue |
| Water Consumption Intensity (By Revenue) | tons/ten-thousand RMB revenue |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Full-time Employees | 2235 | 2349 | |
| Number of Total Employees | 2349 | ||
| Percentage of Female Employees | % | 42.18 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Total Employees | % | 9.6 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 116 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 19.1 | 44.2 |
| Average Training Hours (General Employees) | hours | 10.6 | 36.1 |
| Average Training Hours (Male) | hours | 21.1 | 42.3 |
| Average Training Hours (Marketing & Customer Service) | hours | 49.5 | 63.5 |
| Total Training Hours | hours | 45318 | 101319 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Total Suppliers |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit |
|---|---|
| Total Social Investment |