2017 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 | Report Pages |
|---|---|---|---|
| Greenhouse gas emission intensity (Beijing) | Ton of CDE/M2 | 0.04 | 69 |
| Greenhouse gas emission intensity (Shanghai) | Ton of CDE/M2 | 0.037 | 69 |
| Greenhouse gas emission intensity (Shenzhen) | Ton of CDE/M2 | 0.139 | 69 |
| Greenhouse gas emissions (Beijing) | Ton of CDE | 517 | 69 |
| Greenhouse gas emissions (Shanghai) | Ton of CDE | 205 | 69 |
| Greenhouse gas emissions (Shenzhen) | Ton of CDE | 7295 | 69 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Used lamps disposed | Lamp | 1663 | 69 |
| Waste electronic equipment disposed | PCE | 1464 | 69 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Office paper use (Beijing) | KG | 1260 | 69 |
| Office paper use (Shanghai) | KG | 1625 | 69 |
| Office paper use (Shenzhen) | KG | 6425 | 69 |
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 | Report Pages |
|---|---|---|---|
| Energy Intensity | 4 | 83 | |
| Gasoline consumption - Beijing | L | 52530 | 68 |
| Gasoline consumption - Shanghai | L | 14524 | 68 |
| Gasoline consumption - Shenzhen | L | 21358 | 68 |
| Power use intensity - Beijing | KWH/m2 | 32.68 | 68 |
| Power use intensity - Shanghai | KWH/m2 | 33.1 | 68 |
| Power use intensity - Shenzhen | KWH/m2 | 145.99 | 68 |
| Purchased power - Beijing | KWH | 424071 | 68 |
| Purchased power - Shanghai | KWH | 182921 | 68 |
| Purchased power - Shenzhen | KWH | 7638829 | 68 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Water consumption (Beijing) | M3 | 1924 | 69 |
| Water consumption (Shanghai) | M3 | 6542 | 69 |
| Water consumption (Shenzhen) | M3 | 115547 | 69 |
| Water consumption intensity (Beijing) | M3/M2 | 0.15 | 69 |
| Water consumption intensity (Shanghai) | M3/M2 | 1.18 | 69 |
| Water consumption intensity (Shenzhen) | M3/M2 | 2.21 | 69 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | past ten years | Report Pages |
|---|---|---|---|
| Industries targeted for management model research | industries | over 20 | 62 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Morale of employees rating | 71.78 | 71.02 | 71.89 | 75.75 | 84.04 | 85.71 | 91.19 | 6 | |
| Percentage of employees with bachelor and master degrees or above | % | 78.6 | 6 | ||||||
| Total Number of Employees | 6634 | 2 |
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 | past ten years | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|
| Case study reports released for management model research | million characters | over 1.5 | 62 | |||||||
| Employee Moral Score (GPS) | 71.78 | 71.02 | 71.89 | 75.75 | 84.04 | 85.71 | 91.19 | 42 | ||
| Enterprises investigated for management model research | enterprises | over 100 | 62 | |||||||
| Senior executives interviewed for management model research | senior executives | over 1500 | 62 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Total training hours of staff | hours | 64740 | 6 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of enterprises, governments and organizations served | 6800000 | 2 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of complaints made by President Mailbox | 2 | 31 | |
| Number of complaints made by Weibo | 10 | 31 | |
| Number of complaints made by complaint hotline | 5321 | 31 | |
| Number of complaints made by e-mail | 58 | 31 | |
| Number of complaints made by official letter | 5 | 31 | |
| Revenue Year-on-Year Increase | 23.7% | 2 | |
| Total customer service hotline traffic | 475300 | 31 | |
| Total number of complaints | 5396 | 31 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2011 | 2014 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|---|---|
| EAS BOS EAL3+ security certification | passed | 30 | |||||
| EAS BOS ISO27001:2005 certification | certified | 30 | |||||
| Kingdee compliance plan under Network Security Law of the People's Republic of China | passed | 30 | |||||
| Kingdee participation in CSA Cloud Computing Security Technology Requirements preparation | participated | 30 | |||||
| Kingdee testing for classified protection of information system | passed | 30 | |||||
| SaaS Cloud service ISO/IEC27001:2013 certification | certified | 30 | |||||
| SaaS business ISO27001:2013 certification | certified | 30 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| Kingdee China Corporate Member by Cloud Security Alliance | granted | 30 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Donation of computers to three schools under Beautiful China Program | RMB | 840000 | 65 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2016 | 2017 | Report Pages |
|---|---|---|---|---|
| Cash donation to 30 teachers supporting Beautiful China Program | million RMB | 1.5 | 1.5 | 65 |
| Revenue | RMB | 2303458000 | 2 |
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 |
|---|---|---|
| Total GHG Emissions | Ton of CDE | 8017 |
| Total GHG Emissions Intensity (By Area) | Ton of CDE/M2 | 0.04 |
| Total GHG Emissions Intensity (By Revenue) | Ton of CDE/RMB 1 Million of Revenue | 3.49 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Hazardous Waste (Electronic and IT Equipment) | PCE | 1464 |
| Hazardous Waste Disposed | PCE | 1464 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Paper Waste | KG | 9310 |
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 |
|---|---|---|
| Energy Consumption Intensity (By Area) | KWH/m2 | 70.59 |
| Gasoline Consumption | Liter | 52530 |
| Purchased Electricity | KWH | 424071 |
| Purchased Electricity Intensity (By Area) | KWH/m2 | 33.1 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Water Consumption | m3 | 124013 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Number of Bachelor's Degree Employees | Person | 4793 |
| Number of Below Junior College Employees | Person | 1409 |
| Number of Employees Aged 30-50 | Person | 3155 |
| Number of Employees Aged Above 50 | Person | 54 |
| Number of Employees Aged Below 30 | Person | 3425 |
| Number of Employees in Hong Kong and Mainland China | Person | 6632 |
| Number of Employees in Mainland China | Person | 6607 |
| Number of Employees in Overseas | Person | 2 |
| Number of Female Employees | Person | 2267 |
| Number of Male Employees | Person | 4367 |
| Number of Master's Degree Employees | Person | 422 |
| Number of Total Employees | Person | 6634 |
| Percentage of Bachelor's Degree Employees | % | 72.3 |
| Percentage of Below Junior College Employees | % | 21.2 |
| Percentage of Employees Aged 30-50 | % | 47.6 |
| Percentage of Employees Aged Above 50 | % | 0.8 |
| Percentage of Employees Aged Below 30 | % | 51.6 |
| Percentage of Master's Degree Employees | % | 6.4 |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | Day |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Trained Female Employees | % |
| Percentage of Trained Male Employees | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Average Training Hours (Female) | hour/person | 5.6 |
| Average Training Hours (General Employees) | hour/person | 6.44 |
| Average Training Hours (Male) | hour/person | 6.87 |
| Average Training Hours (Senior Management) | hour/person | 6.42 |
| Average Training Hours per Employee | hour/person | 6.43 |
| Total Training Hours | hours | 64740 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers in Mainland China | Supplier |
| Number of Suppliers in Overseas | Supplier |
| Number of Total Suppliers | Supplier |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Total Number of Customer Complaints | 5396 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2016 | 2017 |
|---|---|---|---|
| Investment in Education Donation | million RMB | 1.5 | 1.5 |
| Total Cash Donations | million RMB | 1.5 | 1.5 |
| Total Public Welfare Donations | million RMB | 1.5 | 1.5 |