2019 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 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Greenhouse gas emission (Scope I & Scope II) | 8017 | 7729 | 9726 | 110 | |
| Greenhouse gas emission - Beijing | Ton of carbon dioxide equivalent | 517 | 281 | 2266 | 104 |
| Greenhouse gas emission - Shanghai | Ton of carbon dioxide equivalent | 205 | 151 | 164 | 104 |
| Greenhouse gas emission - Shenzhen | Ton of carbon dioxide equivalent | 7295 | 7297 | 7296 | 104 |
| Greenhouse gas emission density (per million business volume) | 3.49 | 2.75 | 2.92 | 110 | |
| Greenhouse gas emission density (per m²) | T/m² | 0.072 | 0.105 | 0.062 | 110 |
| Greenhouse gas emission density - Beijing | Ton of carbon dioxide equivalent/m² | 0.04 | 0.015 | 0.119 | 104 |
| Greenhouse gas emission density - Shanghai | Ton of carbon dioxide equivalent/m² | 0.037 | 0.027 | 0.002 | 104 |
| Greenhouse gas emission density - Shenzhen | Ton of carbon dioxide equivalent/m² | 0.139 | 0.149 | 0.137 | 104 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Waste Electronic Equipment disposed | piece | 1464 | 3370 | 709 | 106 |
| Waste Modular Tube | Piece | 1664 | 2809 | 1662 | 110 |
| Waste Modulator Tube disposed | piece | 1663 | 2601 | 1662 | 106 |
| Waste electronic equipment (including the whole company) | Piece | 1464 | 3370 | 709 | 110 |
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 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Electricity Use Density | Kwh/m² | 70.59 | 108.03 | 81.1 | 110 |
| Gasoline | L | 88412 | 96765 | 51354 | 110 |
| Outsourced electricity | Kwh | 8245821 | 7922658 | 12677228 | 110 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption | M³ | 124013 | 115340 | 120044 | 111 |
| Water Use Density | M³/M² | 1.18 | 1.57 | 0.77 | 111 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Office paper | Kg | 9310 | 10048 | 20155 | 111 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Aged 29 and below | Person | 3425 | 3812 | 4496 | 112 |
| Aged 30-49 | Person | 3155 | 3899 | 4308 | 112 |
| Aged 50 or above | Person | 54 | 66 | 99 | 112 |
| Approval of new units of talent housing | units | 80 | 63 | ||
| Associate Degree and below | Person | 1409 | 1463 | 1346 | 112 |
| Bachelor's Degree | Person | 4793 | 5807 | 6950 | 112 |
| Employees benefited from housing subsidy | person-times | 162 | 63 | ||
| Establish a company privately (persons) | persons | 5 | 70 | ||
| Establish a company privately and transfer Kingdee clients | Person | 4 | 2 | 115 | |
| Establish a company privately and undertake outsourcing business | Person | 2 | 1 | 115 | |
| Establish a company privately or take a second job as part-time work | Person | 9 | 5 | 115 | |
| Fabricate labor relation | Person | 3 | 115 | ||
| Female staff | Person | 2267 | 2670 | 3073 | 112 |
| Female staff employed in the current year | Person | 1029 | 113 | ||
| Hong Kong, Macau & Taiwan | Person | 25 | 28 | 32 | 112 |
| Kingdee employee - College graduate (by diploma) | % | 15 | 56 | ||
| Kingdee employee - Female employee number (by gender) | % | 35 | 56 | ||
| Kingdee employee - Hong Kong, Macao and Taiwan (by region) | % | 0.02 | 56 | ||
| Kingdee employee - Junior college and below (by diploma) | % | 78 | 56 | ||
| Kingdee employee - Mainland China (by region) | % | 99.62 | 56 | ||
| Kingdee employee - Male employee number (by gender) | % | 65 | 56 | ||
| Kingdee employee - Management employee (by employee type) | % | 20 | 56 | ||
| Kingdee employee - Overseas (by region) | % | 0.36 | 56 | ||
| Kingdee employee - Postgraduate and above (by diploma) | % | 7 | 56 | ||
| Kingdee employee - Professional employee (by employee type) | % | 80 | 56 | ||
| Mainland China | Person | 6607 | 7748 | 8869 | 112 |
| Male staff | Person | 4367 | 5107 | 5830 | 112 |
| Management staff | Person | 1141 | 1303 | 1795 | 112 |
| Management staff employed in the current year | Person | 133 | 113 | ||
| Master's Degree and above | Person | 422 | 507 | 607 | 112 |
| Number of association members | members | 3375 | 75 | ||
| Number of morning buses arranged for employees' commuting | buses | 18 | 59 | ||
| Number of new employees | person | 3102 | 64 | ||
| Overseas | Person | 2 | 1 | 2 | 112 |
| Specialty staff | Person | 5493 | 6474 | 7108 | 112 |
| Staff back to work after maternity leave | Person, person | 56 | 106 | 54 | 64, 112 |
| Staff eligible for retirement within the next five years | Person, person | 15 | 25 | 32 | 64, 112 |
| Staff employed in the current year | Person | 3101 | 113 | ||
| Staff in maternity leave | Person, person | 80 | 164 | 74 | 64, 112 |
| Take a second job as part time work illegally (persons) | persons | 1 | 3 | 70 | |
| Take a second job as part-time work illegally | Person | 3 | 1 | 115 | |
| Total number of employees | Person, persons | 6634 | 7777 | 8903 | 7, 112 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee loss by employee type - Management employee | % | 7 | 64 |
| Employee loss by employee type - Professional employee | % | 93 | 64 |
| Employee loss by gender - Female employee | % | 68 | 64 |
| Employee loss by gender - Male employee | % | 32 | 64 |
| Employee turnover rate | % | 18.21 | 64 |
| Female Staff turnover | Person | 626 | 112 |
| Male Staff turnover | Person | 1355 | 112 |
| Male staff employed in the current year | Person | 2073 | 113 |
| Management staff resigned in the current year | Person | 262 | 113 |
| Number of employees lost | person | 1981 | 64 |
| Specialty staff employed in the current year | Person | 1848 | 113 |
| Specialty staff resigned in the current year | Person | 2840 | 113 |
| Total of employee turnover | Person | 1981 | 112 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Times of work-related injury | Time | 1 | 2 | 113 | |
| Work Injuries | Injury | 1 | 3 | 2 | 62 |
Lost days due to work injury.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Days lost due to performing duties | Day | 31 | 31 | 30 | 62 |
| Total number of days lost due to work-related injury | Day | 31 | 30 | 113 |
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 | 2019 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|---|
| EAS Cloud - Marketing energization training (number of participants) | participants | 9000 | 88 | ||||||||
| EAS Cloud - Marketing energization training (number of sessions) | sessions | 90 | 88 | ||||||||
| EAS Cloud - Other study, exchange and energization activities (number of participants) | participants | 16000 | 88 | ||||||||
| EAS Cloud - Other study, exchange and energization activities (number of sessions) | sessions | 155 | 88 | ||||||||
| EAS Cloud - Training on products and implementation delivery (number of participants) | participants | 40000 | 88 | ||||||||
| EAS Cloud - Training on products and implementation delivery (number of sessions) | sessions | 46 | 88 | ||||||||
| Enabling service training | Person-Time | 7110 | 113 | ||||||||
| Kingdee Cloud - Cloud Galaxy - Delivery and service trainings (number of institutions) | institutions | 49 | 88 | ||||||||
| Kingdee Cloud - Cloud Galaxy - Delivery and service trainings (number of participants) | participants | 1422 | 88 | ||||||||
| Kingdee Cloud - Cloud Galaxy - Delivery and service trainings (number of sessions) | sessions | 20 | 88 | ||||||||
| Kingdee Cloud - Cloud Galaxy - Partner CEO business college high end marketing training (number of participants) | participants | 301 | 88 | ||||||||
| Kingdee Cloud - Cloud Galaxy - Partner CEO business college high end marketing training (number of sessions) | sessions | 4 | 88 | ||||||||
| Kingdee Cloud - Cloud Galaxy - Partner energization events and trainings (number of participants) | participants | 1153 | 88 | ||||||||
| Kingdee Cloud - Cloud Galaxy - Partner energization events and trainings (number of sessions) | sessions | 48 | 88 | ||||||||
| Number of innovation sharing sessions organized | 64 | 74 | |||||||||
| Number of large study sessions held by CFO Acting in All Conscience Research Institute | sessions | 4 | 84 | ||||||||
| Number of micro-innovation results awarded | 20 | 74 | |||||||||
| Number of outstanding innovation results awarded | 1 | 74 | |||||||||
| Number of persons joining JiKe Lundao innovation sharing | 2880 | 74 | |||||||||
| Number of trainees trained and certified (Consultancy College) | people | 1100 | 95 | ||||||||
| Number of trainees trained by Jingyi (Consultancy College) | people | 1210 | 95 | ||||||||
| Overall Global Pulse and Value Survey Score | Score | 71.78 | 71.02 | 71.89 | 75.75 | 84.04 | 85.71 | 91.19 | 90.33 | 90.41 | 62 |
| Overall training satisfaction | 4.9 | 63 | |||||||||
| Platform service training | Person-Time | 4871 | 113 | ||||||||
| Times of female staff training | Person-Time | 639 | 1497 | 5005 | 113 | ||||||
| Times of male staff training | Person-Time | 1433 | 7784 | 10090 | 113 | ||||||
| Times of management staff training | Person-Time | 303 | 429 | 1209 | 113 | ||||||
| Times of specialty staff training | Person-Time | 1769 | 8852 | 13886 | 113 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Average training hours | h/person | 6.43 | 8.09 | 6.37 | 114 |
| Enabling service training hours | h | 49399 | 114 | ||
| Innovation service training hours | h | 2890.2 | 114 | ||
| Performance service training | Person-Time | 426 | 113 | ||
| Performance service training hours | h | 1617.6 | 114 | ||
| Platform service training hours | h | 2835.3 | 114 | ||
| Total hours of female staff training | h | 12696 | 12068 | 16595 | 114 |
| Total hours of female staff training (per person) | h/person | 5.6 | 4.72 | 5.4 | 114 |
| Total hours of male staff training | h | 30004 | 50286 | 40148 | 114 |
| Total hours of male staff training (per person) | h/person | 6.87 | 9.85 | 6.89 | 114 |
| Total hours of management staff training | h | 7320 | 9615 | 8463 | 114 |
| Total hours of management staff training (per person) | h/person | 6.42 | 7.38 | 4.71 | 114 |
| Total hours of specialty staff training | h | 35380 | 53279 | 48279 | 114 |
| Total hours of specialty staff training (per person) | h/person | 6.44 | 8.23 | 6.79 | 114 |
| Total hours of training received by all employees | h | 64740 | 62893 | 56742 | 114 |
| Total times of training | Person-Time | 2072 | 9281 | 15095 | 113 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of Kingdee Cloud Cosmic ecological partners | partners | 160 | 16 | ||
| Number of countries and regions covered by Kingdee Intelligent Bookkeeping | 70 | 28 | |||
| Number of loans issued by Kingdee Efficient Lending | 200000 | 28 | |||
| Number of new clients and new contracts won by Kingdee Cloud Cosmic | clients/contracts | 115 | 16 | ||
| Number of suppliers Overseas | Piece | 1 | 1 | 2 | 114 |
| Number of suppliers in China | Piece | 412 | 403 | 420 | 87, 114 |
| Number of suppliers overseas | 1 | 1 | 2 | 87 | |
| Shandong Yuantong Group ranking among Chinese top one hundred automobile distribution industry | 18 | 31 | |||
| Year-on-year growth of Kingdee Efficient Lending clients | 107% | 28 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Kingdee Cloud - Cloud Galaxy - Support 92 million or more pre-sales projects for partners | million or more pre-sales projects | 92 | 88 |
| Kingdee Cloud - Cloud Galaxy - Support more than 30 partners for marketing activities (number of participants) | participants | 2762 | 88 |
| Kingdee K/3 - Energizing partners and cooperate for win-win situation (number of participants) | participants | 950 | 88 |
| Kingdee K/3 - Energizing partners and cooperate for win-win situation (number of sessions) | sessions | 18 | 88 |
| Kingdee K/3 - Partner beerbust (number of partners participated) | partners | 52 | 88 |
| Number of president and secretary units in the associations of accounting and booking service nationwide using Kingdee Zhangwuyou product | units | 28 | 26 |
| Preparation of local standard draft of Big Data Service Classification and Code of Guangdong Province | Yes | 91 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of industries covered by Kingdee Intelligent Bookkeeping | 30 | 28 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| China's Top 100 in Intelligent Operation and Maintenance Services | Top 100 | 19 | |||
| Complaint E-mail - Number of client complaints | 11 | 58 | 58 | 37 | |
| Complaint hotlines - Number of client complaints | 1037 | 2602 | 1037 | 37 | |
| Complaints email | Case | 58 | 58 | 11 | 115 |
| Complaints hotline | Case | 5321 | 2602 | 1037 | 115 |
| Consumer complaint platform | Case | 2 | 1 | 115 | |
| Consumer complaint platform - Number of client complaints | 1 | 2 | 37 | ||
| Increase in number of knowledge database entries of online robots compared to previous year | 16% | 39 | |||
| Increase in percentage of users choosing self-inquiry services through online robots compared to previous year | 3% | 39 | |||
| Number of block chain electronic invoices checked | invoices | 300000 | 32 | ||
| Number of block chain electronic invoices issued | invoices | 500000 | 32 | ||
| Number of clients served by Kingdee Efficient Lending | 100000 | 28 | |||
| Number of financial bills identification and checking services provided for enterprises inside the Group | 1060000 | 33 | |||
| Number of financial bills identification and checking services provided for enterprises outside the Group | 5813000 | 33 | |||
| Number of registered users of Kingdee Intelligent Bookkeeping | 1440000 | 28 | |||
| Number of users of Product of Cloud Cloud Galaxy knowledge database | 85607 | 39 | |||
| Official letter | Case | 5 | 1 | 2 | 115 |
| Official letter - Number of client complaints | 2 | 1 | 5 | 37 | |
| Online client service | Case | 3 | 1 | 115 | |
| Online client service - Number of client complaints | 1 | 3 | 37 | ||
| Overall revenue year-on-year growth | % | 18.4 | 4 | ||
| President Mailbox - Number of client complaints | 1 | 2 | 37 | ||
| President's mailbox | Case | 2 | 1 | 115 | |
| Rate of voucher automation completion | over 98% | 33 | |||
| Revenue growth of Kingdee cloud business | % | 54.7 | 4 | ||
| Revenue increased by YoY | % | 18.4 | 7 | ||
| Total complaints | Case | 5396 | 2695 | 1252 | 114 |
| Total number of client complaints (all channels) | 1252 | 2738 | 1112 | 37 | |
| Total revenue of marketing services of Shandong Yuantong Group | RMB | 2197000000 | 31 | ||
| Weibo - Number of client complaints | 3 | 5 | 10 | 37 | |
| Xu Shaochun personal official account - Number of client complaints | 197 | 66 | 37 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Accumulated contract amount for Kingdee Cloud Cosmic | RMB | 200000000 | 16 |
| Compensation granted for closed intellectual property lawsuits | thousand RMB | 17.7 | 53 |
| Number of complaints and reports for pirated products received | complaints | 25 | 53 |
| Number of enterprises connected to Product of Cloud Cloud Galaxy knowledge database | 5389 | 39 | |
| Number of enterprises using block chain electronic invoices | enterprises | 500 | 32 |
| Number of excellent innovation results awarded | 5 | 74 | |
| Number of intellectual property lawsuits closed | cases | 3 | 53 |
| Number of intellectual property lawsuits handled | cases | 6 | 53 |
| Number of knowledge database entries of online robots | 51984 | 39 | |
| Outstanding amount receivable for intellectual property lawsuits in process | thousand RMB | 96.5 | 53 |
| Total value of block chain electronic invoices issued | RMB | 800000000 | 32 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| ITSS cloud computing service capacity standard compliance certificate (level 2) | certificate | 1 | 48 | |
| ITSS cloud computing service capacity standard compliance level 2 | level 2 | 47 | ||
| Number of accumulative installations of Kingdee Intelligent Bookkeeping | 6280000 | 28 | ||
| Overall efficiency of issuance of invoices | 76% | 33 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2015 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| CSA Cloud Security Alliance GCR membership certificate | membership | 1 | 48 | |||
| Decrease in low-priced pirated software links removed compared to 2018 | links | 316 | 53 | |||
| KIS classified protection test level II | level II | 47 | ||||
| Kingdee Cloud Cosmic information security classified protection test level | Level III | 3 | 49 | |||
| Kingdee Jingdou Cloud information security classified protection test level | Level II | 2 | 49 | |||
| Kingdee KIS Cloud information security classified protection test level | Level II | 2 | 49 | |||
| Percentage of users choosing self-inquiry services through online robots | 35% | 39 | ||||
| SaaS Cloud service certified by ISO/IEC27001:2013 (information security management system) | certification | 1 | 48 | |||
| Case | 10 | 5 | 3 | 115 | ||
| Xu Shaochun personal official account | Case | 66 | 197 | 115 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Collude with external party to seek profits | Person | 3 | 115 | ||
| Collude with third party to seek profit illegally (persons) | persons | 1 | 3 | 70 | |
| Engage in a partnership operation illegally | Person | 1 | 2 | 115 | |
| Engage in malpractice and accept kickback | Person | 3 | 4 | 115 | |
| Engage in malpractice and accept kickbacks (persons) | persons | 3 | 4 | 70 | |
| Engaging in a partnership operation illegally (persons) | persons | 2 | 70 | ||
| Number of low-priced pirated software links removed | links | 370 | 53 | ||
| Transfer Kingdee clients illegally (persons) | persons | 2 | 4 | 70 | |
| Violations (cases) | cases | 10 | 70 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of advocacy sessions including training and on-site advocacy regarding anti-corruption and legal knowledge | sessions | 12 | 71 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of on-site advocacy and training sessions regarding legal knowledge and important policies and systems for legal staff and auditors | sessions | 10 | 71 |
| Number of visits accessing the online learning system of Kingdee Business Code of Conduct | visits | 37000 | 71 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Donation to China Siyuan Poverty Alleviation Foundation for Covid-19 medical supplies | million RMB | 10 | 5 | ||
| Establishment of Shenzhen Entrepreneurship and Innovation Association jointly with many famous enterprises | Yes | 91 | |||
| Housing subsidy for employees | million RMB | 1.62 | 63 | ||
| Innovation service (Person-Time) | Person-Time | 2688 | 114 | ||
| Kingdee Efficient Lending: First Prize of Scientific and Technological Achievements, Shenzhen Association for Science and Technology | First Prize | 29 | |||
| Kingdee Internet Finance: 2018 Shenzhen Financial Innovation Award | Awarded | 29 | |||
| Kingdee Internet Finance: KPMG 2019 Chinese Top Leading Financial Technology Company | Top 50 | 29 | |||
| Number of colleges and universities helped to improve the level of school-enterprise cooperation | colleges and universities | 39 | 93 | ||
| Number of day-to-day events held by Kingdee in 2019 | day-to-day events | 1300 | 75 | ||
| Number of evening buses arranged for employees' commuting | buses | 14 | 59 | ||
| Number of external games held by Kingdee in 2019 | external games | 21 | 75 | ||
| Number of industry-university-research cooperation projects with colleges and universities across China | N/A | 94 | |||
| Number of representative government issues undertaken | projects | 5 | 92 | ||
| Number of sports tournaments held by Kingdee in Shenzhen in 2019 | sports tournaments | 4 | 75 | ||
| Number of staff associations founded | associations | 13 | 75 | ||
| Number of students provided training with internship position recommendation rate of 100% | students | 85 | 95 | ||
| Number of themed events held by Kingdee in 2019 | themed events | 16 | 75 | ||
| Organization of the Services Conference Federation (SCF 2019) Satellite Session | Yes | 91 | |||
| Planned number of colleges and universities to be helped in the second batch to improve school-enterprise cooperation | colleges and universities | 76 | 93 | ||
| Top 20 in Cloud Computing Technology Application Innovation | Top 20 | 19 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of Kingdee employees and partners subsidized by Kingdee Mutual Aid Foundation | persons | 2 | 59 |
| Number of person-times benefited by employee bus service per day | person-times | 2000 | 59 |
| Revenue | RMB | 3326000000 | 7 |
| Total amount subsidized by Kingdee Mutual Aid Foundation | RMB | 584361.91 | 59 |
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 | 2019 |
|---|---|---|---|---|
| Total GHG Emissions | Ton of carbon dioxide equivalent | 8017 | 7729 | 9726 |
| Total GHG Emissions Intensity (By Area) | T/m² | 0.072 | 0.105 | 0.062 |
| Total GHG Emissions Intensity (By Product Volume) | 3.49 | 2.75 | 2.92 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Hazardous Waste (Electronic and IT Equipment) | piece | 1464 | 3370 | 709 |
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 | 2019 |
|---|---|---|---|---|
| Paper Waste | Kg | 9310 | 10048 | 20155 |
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 | 2019 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Area) | kWh/m² | 70.59 | 108.03 | 81.1 |
| Gasoline Consumption | L | 88412 | 96765 | 51354 |
| Grid Electricity Consumption | kWh | 8245821 | 7922658 | 12677228 |
| Purchased Electricity | kWh | 8245821 | 7922658 | 12677228 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption | M³ | 124013 | 115340 | 120044 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Bachelor's Degree Employees | Person | 4793 | 5807 | 6950 |
| Number of Below Junior College Employees | Person | 1409 | 1463 | 1346 |
| Number of Employees Aged 30-50 | Person | 3155 | 3899 | 4308 |
| Number of Employees Aged Above 50 | Person | 54 | 66 | 99 |
| Number of Employees Aged Below 30 | Person | 3425 | 3812 | 4496 |
| Number of Employees in Hong Kong | Person | 25 | 28 | 32 |
| Number of Employees in Mainland China | Person | 6607 | 7748 | 8869 |
| Number of Employees in Overseas | Person | 2 | 1 | 2 |
| Number of Female Employees | Person | 2267 | 2670 | 3073 |
| Number of Male Employees | Person | 4367 | 5107 | 5830 |
| Number of Master's Degree Employees | Person | 422 | 507 | 607 |
| Number of New Employees | person | 3102 | ||
| Number of Total Employees | Person | 6634 | 7777 | 8903 |
| Percentage of Bachelor's Degree Employees | % | 78 | ||
| Percentage of Below Junior College Employees | % | 15 | ||
| Percentage of Female Employees | % | 35 | ||
| Percentage of Male Employees | % | 65 | ||
| Percentage of Master's Degree Employees | % | 7 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Female Employees | % | 68 |
| Turnover Rate of Male Employees | % | 32 |
| Turnover Rate of Total Employees | % | 18.21 |
Lost days due to work injury.
| Standard Indicator | Unit | 2017 | 2019 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 31 | 30 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Percentage of Trained Female Employees | % | 30.83 | 16.14 | 33.17 |
| Percentage of Trained Male Employees | % | 69.17 | 83.86 | 66.83 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Average Training Hours (Female) | h/person | 5.6 | 4.72 | 5.4 |
| Average Training Hours (General Staff) | h/person | 6.44 | 8.23 | 6.79 |
| Average Training Hours (Male) | h/person | 6.87 | 9.85 | 6.89 |
| Average Training Hours (Senior Management) | h/person | 6.42 | 7.38 | 4.71 |
| Average Training Hours per Employee | h/person | 6.43 | 8.09 | 6.37 |
| Total Training Hours | h | 64740 | 62893 | 56742 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | 412 | 403 | 420 | |
| Number of Suppliers in Overseas | 1 | 1 | 2 | |
| Number of Total Suppliers | 413 | 404 | 422 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Number of Customer Complaints | 1252 | 2738 | 1112 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Intellectual Property Disputes | cases | 6 |
| Number of New Patent Applications | applications | 76 |
| Number of Patents Applied | applications | 76 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of Customer Privacy Related Complaints | count |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Confirmed Incidents of Corruption | Person | 1 | 11 | 17 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Anti-corruption Training Session | sessions | 10 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Participations in Volunteer Activities | person-times | 2000 |
| Total Public Welfare Donations | RMB | 584361.91 |
| Total Social Investment | RMB | 584361.91 |