2020 Corporate Social Responsibility & Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| NOx emissions (tonne) in Beijing properties | tonne | 5.99 | 5.32 | 2.8 | 90 |
| SO2 emissions (tonne) in Beijing properties | tonne | 0.029 | 0.026 | 0.014 | 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).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Direct emissions (Scope 1) (tonne CO2eq) | tonne CO2eq | 1432 | 1330 | 728 | 91 |
| GHG emissions (tonne CO2eq) | tonne CO2eq | 44534 | 68926 | 57447 | 91 |
| Indirect emissions (Scope 2) (tonne CO2eq) | tonne CO2eq | 43160 | 67598 | 56720 | 91 |
| Total GHG emissions per m² of floor area (tonne CO2eq) | tonne CO2eq | 0.0525 | 0.0839 | 0.0699 | 91 |
| 每平方米楼面面积温室气体排放量（范围一及二）（公吨二氧化碳当量） | 公吨二氧化碳当量 | 0.0525 | 0.0839 | 0.0699 | 43 |
| 温室气体排放总量（公吨二氧化碳当量） | 公吨二氧化碳当量 | 44534 | 68926 | 57447 | 43 |
| 直接排放量（范围一）（公吨二氧化碳当量） | 公吨二氧化碳当量 | 1432 | 1330 | 728 | 43 |
| 间接排放量（范围二）（公吨二氧化碳当量） | 公吨二氧化碳当量 | 43160 | 67598 | 56720 | 43 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Fluorescent tube contained mercury (kg) | kg | 1434 | 735 | 3395 | 91 |
| Total hazardous waste produced (kg) | kg | 2627 | 1924 | 4370 | 91 |
| Total hazardous waste produced per m² of floor area (kg) | kg | 0.0032 | 0.0023 | 0.0053 | 91 |
| Used battery (kg) | kg | 261 | 564 | 255 | 91 |
| Used cartridge (kg) | kg | 464 | 221 | 275 | 91 |
| 含水银的废弃灯管（公斤） | 公斤 | 1434 | 735 | 3395 | 43 |
| 废墨盒（公斤） | 公斤 | 464 | 221 | 275 | 43 |
| 废电池（公斤） | 公斤 | 261 | 564 | 255 | 43 |
| 有害废弃物产生总量（公斤） | 公斤 | 2627 | 1924 | 4370 | 43 |
| 每平方米楼面面积有害废弃物产生总量（公斤） | 公斤 | 0.0032 | 0.0023 | 0.0053 | 43 |
| 电子废弃物（公斤） | 公斤 | 468 | 404 | 446 | 43 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Discarded towel recycled (piece) | piece | 61454 | 34625 | 30806 | 92 |
| Electronic waste (kg) | kg | 468 | 404 | 446 | 91 |
| General waste (kg) | kg | 1896415 | 627663 | 571218 | 91 |
| Glass recycled (kg) | kg | 16183 | 102570 | 9303 | 92 |
| Kitchen waste (kg) | kg | 3138443 | 1749852 | 954251 | 91 |
| Plastic recycled (kg) | kg | 35105 | 102701 | 7803 | 92 |
| Produced amount of kitchen waste | YoY decrease | 45.4% | 82 | ||
| Total non-hazardous waste produced (kg) | kg | 5034858 | 2377515 | 1525469 | 91 |
| Total non-hazardous waste produced per m² of floor area (kg) | kg | 6.13 | 2.89 | 1.86 | 91 |
| Total produced amount of non-hazardous waste | YoY decrease | 35.8% | 82 | ||
| Used soap recycled (kg) | kg | 2591 | 3936 | 1774 | 92 |
| Used toothbrush recycled (piece) | piece | 299639 | 333000 | 124695 | 92 |
| 原始垃圾（公斤） | 公斤 | 3138443 | 1749582 | 954251 | 43 |
| 塑料制品回收量（公斤） | 公斤 | 35105 | 102701 | 7803 | 44 |
| 无害废弃物产生总量（公斤） | 公斤 | 5034858 | 2377515 | 1525469 | 43 |
| 每平方米楼面面积无害废弃物产生总量（公斤） | 公斤 | 6.13 | 2.89 | 1.86 | 43 |
| 生活垃圾（公斤） | 公斤 | 1896415 | 627663 | 571218 | 43 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Emission reduced by held trees (tonne CO2eq) | tonne CO2eq | 4 | 2 | 1 | 91 |
| 持有的排放补偿量（公吨二氧化碳当量） | 公吨二氧化碳当量 | 4 | 2 | 1 | 43 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Legally disposal rate of hazardous waste (%) | % | 100 | 100 | 100 | 91 |
| Legally disposal rate of non-hazardous waste (%) | % | 100 | 100 | 100 | 91 |
| 无害废弃物的总处理率（%） | % | 100 | 100 | 100 | 43 |
| 有害废弃物的总处理率（%） | % | 100 | 100 | 100 | 43 |
| 玻璃瓶回收量（公斤） | 公斤 | 16183 | 102570 | 9303 | 44 |
| 酒店客房废旧毛巾回收量（块） | 块 | 61454 | 34504 | 30806 | 44 |
| 酒店客房牙刷回收量（支） | 支 | 299639 | 333000 | 124695 | 44 |
| 酒店客房肥皂回收量（公斤） | 公斤 | 2591 | 3936 | 1774 | 44 |
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 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Diesel (MWh) | MWh | 282 | 381 | 288 | 92 |
| Natural gas (MWh) | MWh | 6279 | 5537 | 2882 | 92 |
| Petrol (MWh) | MWh | 474 | 481 | 310 | 92 |
| Purchased electricity (MWh) | MWh | 70655 | 62192 | 44363 | 92 |
| Purchased heat (MWh) | MWh | 74368 | 79950 | 67266 | 92 |
| Total energy consumed per m² of floor area (MWh) | MWh/m² | 0.185 | 0.1808 | 0.14 | 92 |
| Total energy consumption (MWh) | MWh | 152058 | 148541 | 115109 | 92 |
| 外购热力（兆瓦时） | 兆瓦时 | 74368 | 79950 | 67266 | 44 |
| 外购电力（兆瓦时） | 兆瓦时 | 70655 | 62192 | 44633 | 44 |
| 天然气（兆瓦时） | 兆瓦时 | 6279 | 5537 | 2882 | 44 |
| 柴油（兆瓦时） | 兆瓦时 | 282 | 381 | 288 | 44 |
| 每平方米水地面积能源消耗总量（兆瓦时/平方米） | 兆瓦时/平方米 | 0.185 | 0.1808 | 0.14 | 44 |
| 汽油（兆瓦时） | 兆瓦时 | 474 | 481 | 310 | 44 |
| 能源消耗总量（兆瓦时） | 兆瓦时 | 152058 | 148541 | 115109 | 44 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Percentage of purchased municipal water (%) | % | 100 | 100 | 100 | 92 |
| Total water consumed per m² of floor area (m³) | m³/m² | 1.28 | 1.2 | 0.73 | 92 |
| Total water consumption (m³) | m³ | 1051353 | 981702 | 601844 | 92 |
| Wastewater discharge (m³) | m³ | 967245 | 903166 | 553696 | 92 |
| 每平方米水地面积用水总量（立方米/平方米） | 立方米/平方米 | 1.28 | 1.2 | 0.73 | 44 |
| 用水总量（立方米） | 立方米 | 1051353 | 981702 | 601844 | 44 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| 外购自来水占比（%） | % | 100 | 100 | 100 | 44 |
| 节水措施量（立方米） | 立方米 | 967245 | 903166 | 553696 | 44 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Held trees with height above or equal to 5 meters | 173 | 94 | 48 | 92 | |
| 持有5米及以上的树木（棵） | 棵 | 173 | 94 | 48 | 44 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| 30岁以下员工人数 | 人 | 1823 | 1892 | 1606 | 45 |
| 30至50岁员工人数 | 人 | 2813 | 3344 | 3435 | 45 |
| 50岁以上员工人数 | 人 | 531 | 616 | 649 | 45 |
| Employee age group - 30 to 50 | percent | 60% | 77 | ||
| Employee age group - Above 50 | percent | 11% | 77 | ||
| Employee age group - Below 30 | percent | 28% | 77 | ||
| Employee gender distribution - Female | percent | 43% | 77 | ||
| Employee gender distribution - Male | percent | 57% | 77 | ||
| Employment category - General Management | percent | 89% | 77 | ||
| Employment category - Middle Management | percent | 9% | 77 | ||
| Employment category - Senior Management | percent | 1% | 77 | ||
| Employment type - Full time (Long-term contract) | percent | 47% | 77 | ||
| Employment type - Full time (Short-term contract) | percent | 53% | 77 | ||
| Number of disabled employees | 18 | 77 | |||
| Number of employees - Female | 2121 | 2449 | 2441 | 93 | |
| Number of employees - General employee | 5083 | 93 | |||
| Number of employees - Mainland China | 5690 | 93 | |||
| Number of employees - Male | 3046 | 3403 | 3249 | 93 | |
| Number of employees - Middle management | 532 | 93 | |||
| Number of employees - Others (education) | 1506 | 1580 | 1356 | 93 | |
| Number of employees - Senior management | 75 | 93 | |||
| Number of employees above 50 | 531 | 616 | 649 | 93 | |
| Number of employees aged 30 to 50 | 2813 | 3344 | 3435 | 93 | |
| Number of employees below 30 | 1823 | 1892 | 1606 | 93 | |
| Number of employees with Bachelor's Degree | 1504 | 1834 | 1912 | 93 | |
| Number of employees with Master's Degree and above | 230 | 290 | 302 | 93 | |
| Number of employees with Secondary education diploma | 593 | 593 | 630 | 93 | |
| Number of employees with Tertiary education diploma | 1334 | 1555 | 1490 | 93 | |
| Ratio of basic salary and remuneration of female employees to male employees - General employees | 1 | 1 | 1 | 93 | |
| Ratio of basic salary and remuneration of female employees to male employees - Management | 1 | 1 | 1 | 93 | |
| Total number of employees | 5167 | 5852 | 5690 | 93 | |
| Total number of in-service employees | 5890 | 77 | |||
| 一般人员人数 | 人 | N/A | N/A | 5083 | 45 |
| 中专员工人数 | 人 | 593 | 593 | 630 | 45 |
| 中国内地员工人数 | 人 | N/A | N/A | 5690 | 45 |
| 中层人员人数 | 人 | N/A | N/A | 532 | 45 |
| 其他学历员工人数 | 人 | 1506 | 1580 | 1356 | 45 |
| 员工人数 | 人 | 5167 | 5852 | 5690 | 45 |
| 大专员工人数 | 人 | 1334 | 1555 | 1490 | 45 |
| 女员工人数 | 人 | 2121 | 2449 | 2441 | 45 |
| 女性与男性员工薪酬比例-一般员工 | 1 | 1 | 1 | 45 | |
| 女性与男性员工薪酬比例-管理层 | 1 | 1 | 1 | 45 | |
| 本科员工人数 | 人 | 1504 | 1834 | 1912 | 45 |
| 男员工人数 | 人 | 3046 | 3403 | 3249 | 45 |
| 研究生及以上员工人数 | 人 | 230 | 290 | 302 | 45 |
| 高层人员人数 | 人 | N/A | N/A | 75 | 45 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate - 30 to 50 (%) | % | 8.9 | 5.8 | 93 | |
| Employee turnover rate - Above 50 (%) | % | 9.1 | 16.5 | 93 | |
| Employee turnover rate - Below 30 (%) | % | 34.2 | 2.8 | 93 | |
| Employee turnover rate - Female (%) | % | 23.3 | 10.1 | 93 | |
| Employee turnover rate - Male (%) | % | 15.5 | 7.8 | 93 | |
| 员工变动情况-30岁以下 | % | N/A | 34.2 | 2.8 | 45 |
| 员工变动情况-30至50岁 | % | N/A | 8.9 | 5.8 | 45 |
| 员工变动情况-50岁以上 | % | N/A | 9.1 | 16.5 | 45 |
| 员工变动情况-女员工 | % | N/A | 23.3 | 10.1 | 45 |
| 员工变动情况-男员工 | % | N/A | 15.5 | 7.8 | 45 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Injury rate (per 200000 hours work) | 0.017 | 0.315 | 94 | |
| Number of reportable work injury | 1 | 1 | 94 |
Lost days due to work injury.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Number of lost day due to work-related injury | 3 | 781 | 94 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Employee education level - Bachelor's Degree | percent | 34% | 77 |
| Employee education level - Master's Degree or above | percent | 5% | 77 |
| Employee education level - Other | percent | 24% | 77 |
| Employee education level - Secondary Education Diploma | percent | 11% | 77 |
| Employee education level - Tertiary Education Diploma | percent | 26% | 77 |
| Percentage of trained employees | % | 97.29 | 93 |
| Percentage of trained employees - Female | % | 41.31 | 93 |
| Percentage of trained employees - General employee | % | 89.07 | 93 |
| Percentage of trained employees - Male | % | 58.69 | 93 |
| Percentage of trained employees - Middle management | % | 9.58 | 93 |
| Percentage of trained employees - Senior management | % | 1.35 | 93 |
| 受训员工百分比 | % | 97.29 | 45 |
| 受训员工百分比-一般人员 | % | 89.07 | 45 |
| 受训员工百分比-中层人员 | % | 9.07 | 45 |
| 受训员工百分比-女员工 | % | 41.31 | 45 |
| 受训员工百分比-男员工 | % | 58.69 | 45 |
| 受训员工百分比-高层人员 | % | 1.35 | 45 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of vocational skills training (Person/times) | N/A | N/A | 35 | 94 | |
| Training hours per capita - Female | hours | 49.44 | 93 | ||
| Training hours per capita - General employee | hours | 62.53 | 93 | ||
| Training hours per capita - Male | hours | 78.22 | 93 | ||
| Training hours per capita - Middle management | hours | 24.95 | 93 | ||
| Training hours per capita - Senior management | hours | 176.99 | 93 | ||
| 人均受训时数-一般人员 | 小时 | 62.53 | 45 | ||
| 人均受训时数-中层人员 | 小时 | 24.95 | 45 | ||
| 人均受训时数-女员工 | 小时 | 49.44 | 45 | ||
| 人均受训时数-男员工 | 小时 | 78.22 | 45 | ||
| 人均受训时数-高层人员 | 小时 | 176.99 | 45 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020.03 | 2020.05 | Report Pages |
|---|---|---|---|---|
| Top 10 Real Estate Developers of Comprehensive Development in China in 2020 | ranking | 10 | 54 | |
| Top 10 of the SSE-SZSE Listed Real Estate Companies for Investment Value in 2020 | ranking | 10 | 54 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2020.09 | Report Pages |
|---|---|---|---|
| Top 10 of Leading Brand Value in Comprehensive Real Estate Development in China – Real Estate Enterprise with Comprehensive Operations | ranking | 10 | 54 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Clients' satisfaction (%) | % | N/A | 93.1 | 87.67 | 90 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Number of lawsuits in which products and services are suspected of infringing intellectual property rights | 1 | 2 | 90 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2020.12 | Report Pages |
|---|---|---|---|
| Top 10 Influential Brands for Leading Real Estate in 2020 | ranking | 10 | 54 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | 2020.03 | Report Pages |
|---|---|---|---|---|---|---|
| Amount of community/charity investment | RMB'000 | 950 | 950 | 950 | 94 | |
| Of which: Helping to sell poverty alleviation products | RMB'000 | N/A | N/A | 6806 | 94 | |
| Of which: Industrial poverty alleviation products | RMB'000 | N/A | N/A | 1500 | 94 | |
| Star of the Top 100 in China Real Estate Industry in 2020 | ranking | 100 | 54 | |||
| The number of registered poor household helped | N/A | N/A | 191 | 94 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Accumulative number of helped children with congenital diseases | 265 | 283 | 330 | 94 | |
| Money invested in the poverty alleviation work | RMB'000 | 212 | 8875 | 9679 | 94 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| NOₓ Emissions | tonne | 5.99 | 5.32 | 2.8 |
| SOₓ Emissions | tonne | 0.029 | 0.026 | 0.014 |
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 | 2020 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne CO2eq | 1432 | 1330 | 728 |
| Indirect Energy Emissions (Scope 2) | tonne CO2eq | 43160 | 67598 | 56720 |
| Total GHG Emissions | tonne CO2eq | 44534 | 68926 | 57447 |
| Total GHG Emissions Intensity (By Area) | tonne CO2eq | 0.0525 | 0.0839 | 0.0699 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Hazardous Electronic Waste | kg | 468 | 404 | 446 |
| Hazardous Waste (Used Batteries) | kg | 261 | 564 | 255 |
| Total Hazardous Waste | kg | 2627 | 1924 | 4370 |
| Total Hazardous Waste Intensity (By Area) | kg | 0.0032 | 0.0023 | 0.0053 |
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 | 2020 |
|---|---|---|---|---|
| Glass Waste | kg | 16183 | 102570 | 9303 |
| Non-Hazardous Waste (Domestic Waste) | kg | 1896415 | 627663 | 571218 |
| Non-Hazardous Waste (Electronic Waste) | kg | 468 | 404 | 446 |
| Non-Hazardous Waste (Kitchen Waste) | kg | 3138443 | 1749852 | 954251 |
| Non-Hazardous Waste Disposed | kg | 5034858 | 2377515 | 1525469 |
| Non-Hazardous Waste Recycled | kg | 53879 | 209207 | 18880 |
| Plastic Waste | kg | 35105 | 102701 | 7803 |
| Total Non-Hazardous Waste Intensity (By Area) | kg | 6.13 | 2.89 | 1.86 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tonne CO2eq | 4 | 2 | 1 |
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 | 2019 | 2020 |
|---|---|---|---|
| Plastic Waste Reduction Compared to Last Year | pieces | 33361 | -208305 |
| Plastic Waste Reduction Percentage Compared to Last Year | % | 10.018318318318318 | -167.051605918441 |
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 | 2020 |
|---|---|---|---|---|
| Diesel Fuel Consumption | MWh | 282 | 381 | 288 |
| Energy Consumption Intensity (By Area) | MWh/m² | 0.185 | 0.1808 | 0.14 |
| Gasoline Consumption | MWh | 474 | 481 | 310 |
| Natural Gas Consumption | MWh | 6279 | 5537 | 2882 |
| Purchased Electricity | MWh | 70655 | 62192 | 44363 |
| Purchased Heating | MWh | 74368 | 79950 | 67266 |
| Total Energy Consumption | MWh | 152058 | 148541 | 115109 |
| Total Purchased Energy | MWh | 145023 | 142142 | 111629 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Municipal Water Consumption | m³ | 1051353 | 981702 | 601844 |
| Total Wastewater Discharge | m³ | 967245 | 903166 | 553696 |
| Total Water Withdrawal | m³ | 1051353 | 981702 | 601844 |
| Water Consumption | m³ | 1051353 | 981702 | 601844 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Water Consumption Reduction Compared to Last Year | 立方米 | 64079 | 349470 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Bachelor's Degree Employees | persons | 1504 | 1834 | 1912 |
| Number of Below Junior College Employees | persons | 593 | 593 | 630 |
| Number of Employees Aged 30-50 | persons | 2813 | 3344 | 3435 |
| Number of Employees Aged Above 50 | persons | 531 | 616 | 649 |
| Number of Employees Aged Below 30 | persons | 1823 | 1892 | 1606 |
| Number of Employees in Mainland China | persons | 5167 | 5852 | 5690 |
| Number of Female Employees | persons | 2121 | 2449 | 2441 |
| Number of General Employees | persons | 5083 | ||
| Number of Male Employees | persons | 3046 | 3403 | 3249 |
| Number of Master's Degree Employees | persons | 230 | 290 | 302 |
| Number of Middle Management Employees | persons | 532 | ||
| Number of Senior Management Employees | persons | 75 | ||
| Number of Total Employees | persons | 5167 | 5852 | 5690 |
| Percentage of Employees Aged 30-50 | percent | 60 | ||
| Percentage of Employees Aged Above 50 | percent | 11 | ||
| Percentage of Employees Aged Below 30 | percent | 28 | ||
| Percentage of Female Employees | percent | 43 | ||
| Percentage of Male Employees | percent | 57 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 8.9 | 5.8 |
| Turnover Rate of Employees Aged Above 50 | % | 9.1 | 16.5 |
| Turnover Rate of Employees Aged Below 30 | % | 34.2 | 2.8 |
| Turnover Rate of Female Employees | % | 23.3 | 10.1 |
| Turnover Rate of Male Employees | % | 15.5 | 7.8 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 3 | 781 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Percentage of Employees Trained | % | 97.29 |
| Percentage of Trained Female Employees | % | 41.31 |
| Percentage of Trained General Employees | % | 89.07 |
| Percentage of Trained Male Employees | % | 58.69 |
| Percentage of Trained Middle Management | % | 9.58 |
| Percentage of Trained Senior Management | % | 1.35 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Average Training Hours (Female) | hours | 49.44 |
| Average Training Hours (General Employees) | hours | 62.53 |
| Average Training Hours (General Staff) | hours | 62.53 |
| Average Training Hours (Male) | hours | 78.22 |
| Average Training Hours (Middle Management) | hours | 24.95 |
| Average Training Hours (Senior Management) | hours | 176.99 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Intellectual Property Disputes | 1 | 2 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB'000 | 212 | 8875 | 9679 |