2018 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 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Greenhouse gas emission (Scope I & Scope II) | Tons of carbon dioxide equivalent | 8017 | 7729 | 102 |
| Greenhouse gas emission density (per million business volume) | Tons of carbon dioxide equivalent/million operating revenue | 3.48 | 2.75 | 102 |
| Greenhouse gas emission density (per m²) | T/m² | 0.072 | 0.105 | 102 |
| Greenhouse gas emission density, Beijing | Tons of carbon dioxide equivalent/m² | 0.04 | 0.015 | 96 |
| Greenhouse gas emission density, Shanghai | Tons of carbon dioxide equivalent/m² | 0.037 | 0.027 | 96 |
| Greenhouse gas emission density, Shenzhen | Tons of carbon dioxide equivalent/m² | 0.139 | 0.149 | 96 |
| Greenhouse gas emission, Beijing | Tons of carbon dioxide equivalent | 517 | 281 | 96 |
| Greenhouse gas emission, Shanghai | Tons of carbon dioxide equivalent | 205 | 151 | 96 |
| Greenhouse gas emission, Shenzhen | Tons of carbon dioxide equivalent | 7295 | 7297 | 96 |
| Greenhouse gas emissions (Beijing) | tons of carbon dioxide equivalent | 280.64 | 8 | |
| Greenhouse gas emissions (Shanghai) | tons of carbon dioxide equivalent | 151.47 | 8 | |
| Greenhouse gas emissions (Shenzhen) | tons of carbon dioxide equivalent | 7296.92 | 8 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Waste Modular Tube | Piece | 1664 | 2809 | 102 |
| Waste electronic equipment (including the whole company) | Piece | 1464 | 3370 | 102 |
| Waste modulator tube | Piece | 1663 | 2601 | 98 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Office paper consumption Beijing | kg | 1260 | 1120 | 97 |
| Office paper consumption Shanghai | kg | 1625 | 2037 | 97 |
| Office paper consumption Shenzhen | kg | 6425 | 6891 | 97 |
| Waste electronic equipment | Piece | 1464 | 3370 | 98 |
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 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Electricity Use Density | Kwh/m² | 70.59 | 108.03 | 102 |
| Electricity on Outsourced Power Grid, Beijing | Kwh | 424071 | 160520 | 95 |
| Electricity on Outsourced Power Grid, Shanghai | Kwh | 182921 | 122740 | 95 |
| Electricity on Outsourced Power Grid, Shenzhen | Kwh | 7638829 | 7639398 | 95 |
| Gasoline | L | 88412 | 96765 | 102 |
| Gasoline consumption, Beijing | L | 52530 | 58830 | 95 |
| Gasoline consumption, Shanghai | L | 14524 | 16048 | 95 |
| Gasoline consumption, Shenzhen | L | 21358 | 21887 | 95 |
| Outsourced electricity | Kwh | 8245821 | 7922658 | 102 |
| Power Use Density, Beijing | Kwh/m² | 32.68 | 8.45 | 95 |
| Power Use Density, Shanghai | Kwh/m² | 33.1 | 22.21 | 95 |
| Power Use Density, Shenzhen | Kwh/m² | 145.99 | 156.51 | 95 |
| Power use intensity (Beijing) | kWh/m² | 8.45 | 8 | |
| Power use intensity (Shanghai) | kWh/m² | 22.21 | 8 | |
| Power use intensity (Shenzhen) | kWh/m² | 156.51 | 8 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Water consumption Beijing | m³ | 1924 | 2554 | 97 |
| Water consumption Shanghai | m³ | 6542 | 3790 | 97 |
| Water consumption Shenzhen | m³ | 115547 | 108996 | 97 |
| Water consumption density Beijing | m³/m² | 0.15 | 0.13 | 97 |
| Water consumption density Shanghai | m³/m² | 1.18 | 0.69 | 97 |
| Water consumption density Shenzhen | m³/m² | 2.21 | 2.23 | 97 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Aged 29 and below | Person | 3425 | 3812 | 104 |
| Aged 30-49 | Person | 3155 | 3899 | 104 |
| Aged 50 or above | Person | 54 | 66 | 104 |
| Associate Degree and below | Person | 1409 | 1463 | 104 |
| Bachelor's Degree | Person | 4793 | 5807 | 104 |
| Employees with bachelor and master degrees and above (percentage of total employees) | % | 78.6 | 81.91 | 8 |
| Female staff | Person | 2267 | 2670 | 104 |
| Hong Kong, Macau & Taiwan | Person | 25 | 28 | 104 |
| Mainland China | Person | 6607 | 7748 | 104 |
| Male staff | Person | 4367 | 5107 | 104 |
| Management staff | Person | 1141 | 1303 | 104 |
| Master's Degree and above | Person | 422 | 507 | 104 |
| Number of shares granted per person during 25th anniversary celebration | shares | 888 | 71 | |
| Overseas | Person | 2 | 1 | 104 |
| Specialty staff | Person | 5493 | 6474 | 104 |
| Staff back to work after maternity leave | Person | 56 | 106 | 67, 104 |
| Staff eligible for retirement within the next five years | Person | 15 | 25 | 67, 104 |
| Staff in maternity leave | Person | 80 | 164 | 67, 104 |
| Total number of employees | Person | 6634 | 7777 | 104 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Times of work-related injury | Time | 1 | 104 |
Lost days due to work injury.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Total number of days lost due to work-related injury | Day | 31 | 104 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|
| Cloud transformation pioneer class participants | participants | 430 | 59 | |||||||
| Delivery and service trainings institutions covered | institutions | 49 | 59 | |||||||
| Delivery and service trainings participants | participants | 833 | 59 | |||||||
| Delivery and service trainings sessions | sessions | 13 | 59 | |||||||
| Employee Morale Score (GPS) | 71.78 | 71.02 | 71.89 | 75.74 | 84.04 | 85.71 | 91.19 | 90.33 | 67 | |
| Employee morale rate | 71.78 | 71.02 | 71.89 | 75.75 | 84.04 | 85.71 | 91.19 | 90.33 | 8 | |
| Excellent benchmark and guidance of role model participants | participants | 350 | 59 | |||||||
| Excellent benchmark and guidance of role model sessions | sessions | 4 | 59 | |||||||
| Marketing training participants | participants | 1637 | 59 | |||||||
| Marketing training sessions | sessions | 89 | 59 | |||||||
| Number of in-service employees granted shares during 25th anniversary celebration | persons | 8000 | 71 | |||||||
| Other study, exchange and empowerment activities participants | participants | 1181 | 59 | |||||||
| Other study, exchange and empowerment activities sessions | sessions | 48 | 59 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Cloud transformation pioneer class sessions | sessions | 3 | 59 |
| Total training person-times of the staff | person-times | 9281 | 8 |
| Training on products and implementation delivery participants | participants | 6221 | 59 |
| Training on products and implementation delivery sessions | sessions | 116 | 59 |
| Training per capita | 1.19 | 8 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Cooperation for win-win situation participants | participants | 1908 | 59 | |
| Cooperation for win-win situation sessions | sessions | 34 | 59 | |
| Number of suppliers in China | 412 | 403 | 58 | |
| Number of suppliers overseas | 1 | 1 | 58 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Customer complaints via President Mailbox | 2 | 1 | 45 | ||
| Customer complaints via Weibo | 10 | 5 | 45 | ||
| Customer complaints via Xu Shaochun personal account | 66 | 45 | |||
| Customer complaints via complaint email | 58 | 58 | 45 | ||
| Customer complaints via complaint hotlines | 5321 | 2602 | 45 | ||
| Customer complaints via consumer complaint platform | 315 | 45 | |||
| Customer complaints via official letter | 5 | 1 | 45 | ||
| Customer complaints via online customer service | 3 | 45 | |||
| Number of operation team members responding to users' messages | persons | 110 | 47 | ||
| Proportion of problems solved through self-service inquiry service of online robot | 32% | 46 | |||
| Ratio of online inquiries | 54% | 46 | |||
| Total customer complaints | 5396 | 2738 | 45 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Total entries of knowledge base (online robot knowledge base volume) | entries | 44757 | 46 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Marketing activities participants | participants | 1083 | 59 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of messages answered by President Xu Shaochun directly | messages | 1124 | 47 |
| Number of messages received by Xu Shaochun personal account | messages | 11495 | 47 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Computers donated to three schools under Teach for China Program | RMB | 840000 | 89 | ||
| Connection and Empowerment partners participated | partners | 49 | 59 | ||
| Donation to 30 teachers supporting the Teach for China Program | million RMB | 1.5 | 88 | ||
| Donation to Teach for China Program at Charity Dinner Party | RMB | 1500000 | 1500000 | 89 | |
| Partner CEO business college class participants | participants | 300 | 59 | ||
| Partner CEO business college class sessions | sessions | 4 | 59 | ||
| Partner beerbust partners participated | partners | 157 | 59 | ||
| Partners empowerment events and trainings | events | 36 | 59 | ||
| Partners empowerment events and trainings participants | participants | 648 | 59 | ||
| Partners supported for marketing activities | partners | 20 | 59 | ||
| Red package of filial piety distributed to employees' parents during Spring Festival | RMB/employee | 1000 | 71 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2016-2018 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Amount used to aid employees in need and subsidize public welfare programs by Kingdee Mutual Aid Foundation in 2018 | million RMB | 1.82 | 7 | ||
| Number of Kingdee employees or partners subsidized by Kingdee Mutual Aid Foundation | 5 | 9 | |||
| Number of employees and family members sponsored for overseas study tours | persons | 78 | 71 | ||
| Number of teachers supported by donation to Teach for China Program | teachers | 30 | 89 | ||
| Total amount subsidized by Kingdee Mutual Aid Foundation to 5 employees and partners | RMB | 298590.4 | 71 | ||
| Total contributions by Kingdee Mutual Aid Foundation in 2018 | million RMB | 3.83 | 7 | ||
| Total donation by Kingdee Mutual Aid Foundation | RMB | 298590.4 | 9 | ||
| Total donation to support and cultivate commercial management elites since 2017 | million RMB | 4 | 88 | ||
| Total tuition and fee subsidy granted from 2016 to 2018 | RMB | 270000 | 90 |
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 | 2017 | 2018 |
|---|---|---|---|
| Total GHG Emissions | Tons of carbon dioxide equivalent | 8017 | 7729 |
| Total GHG Emissions Intensity (By Area) | T/m² | 0.072 | 0.105 |
| Total GHG Emissions Intensity (By Revenue) | Tons of carbon dioxide equivalent/million operating revenue | 3.48 | 2.75 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Hazardous Waste (Electronic and IT Equipment) | Piece | 1464 | 3370 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Paper Waste | kg | 9300 | 10048 |
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 | 2017 | 2018 |
|---|---|---|---|
| Energy Consumption Intensity (By Area per Year) | Kwh/m² | 70.59 | 108.03 |
| Energy Consumption Intensity (By Area) | Kwh/m² | 70.59 | 108.03 |
| Gasoline Consumption | L | 88412 | 96765 |
| Grid Electricity Consumption | Kwh | 8245821 | 7922658 |
| Grid Purchased Electricity Intensity (By Area) | Kwh/m² | 70.59 | 108.03 |
| Indirect Energy Consumption Intensity (By Area per Year) | Kwh/m² | 70.59 | 108.03 |
| Purchased Electricity | Kwh | 8245821 | 7922658 |
| Purchased Electricity Intensity (By Area) | Kwh/m² | 70.59 | 108.03 |
| Total Direct Energy Consumption | L | 88412 | 96765 |
| Total Electricity Consumption Intensity (By Area) | Kwh/m² | 70.59 | 108.03 |
| Total Energy Consumption | Kwh | 8245821 | 7922658 |
| Total Indirect Energy Consumption | Kwh | 8245821 | 7922658 |
| Total Non-Renewable Fuel Consumption | L | 88412 | 96765 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Water Consumption | m³ | 1924 | 108996 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Number of Bachelor's Degree Employees | Person | 4793 | 5807 |
| Number of Below Junior College Employees | Person | 1409 | 1463 |
| Number of Employees Aged 30-50 | Person | 3155 | 3899 |
| Number of Employees Aged Above 50 | Person | 54 | 66 |
| Number of Employees Aged Below 30 | Person | 3425 | 3812 |
| Number of Employees in Hong Kong | Person | 25 | 28 |
| Number of Employees in Mainland China | Person | 6607 | 7748 |
| Number of Employees in Overseas | Person | 2 | 1 |
| Number of Female Employees | Person | 2267 | 2670 |
| Number of Male Employees | Person | 4367 | 5107 |
| Number of Master's Degree Employees | Person | 422 | 507 |
| Number of Total Employees | Person | 6634 | 7777 |
| Percentage of Bachelor's Degree Employees | % | 72.3 | 74.7 |
| Percentage of Below Junior College Employees | % | 21.2 | 18.8 |
| Percentage of Master's Degree Employees | % | 6.4 | 6.5 |
Lost days due to work injury.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 31 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|---|---|---|---|
| Employee Morale Score (GPS) | 71.78 | 71.02 | 71.89 | 75.74 | 84.04 | 85.71 | 91.19 | 90.33 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours (Female) | h/person | |
| Average Training Hours (Male) | h/person | |
| Average Training Hours (Senior Management) | h/person | |
| Average Training Hours per Employee | h/person | |
| Total Training Hours | h | 62893 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Number of Suppliers in Mainland China | 412 | 403 | |
| Number of Suppliers in Overseas | 1 | 1 | |
| Number of Total Suppliers | 413 | 404 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Total Number of Customer Complaints | Case | 5396 | 2738 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of Customer Privacy Related Complaints | Case |
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.
| Standard Indicator | Unit |
|---|---|
| Number of Confirmed Incidents of Corruption | Person |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Investment in Education Donation | million RMB | 2 |
| Total Public Welfare Donations | million RMB | 1.82 |
| Total Social Investment | million RMB | 3.83 |