HARBIN BANK CO., LTD. 2019 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Total non-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 |
|---|---|---|---|---|---|
| Sewage discharge (cubic metres) | cubic metres | 58962 | 39744 | 40164 | 43 |
| Sewage discharge (cubic metres) - Harbin Branch | cubic metres | 29850.19 | 69257 | 22904 | 43 |
| Toner cartridge used (pieces) | pieces | 132 | 137 | 149 | 43 |
| Toner cartridge used (pieces) - Harbin Branch | pieces | 5998 | 9352 | 22904 | 43 |
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 |
|---|---|---|---|---|---|
| Diesel consumption (litres) | litres | 2700 | 3500 | 1200 | 43 |
| Diesel consumption (litres) - Harbin Branch | litres | 13790 | 850 | 311 | 43 |
| Natural gas consumption (cubic metres) | cubic metres | 80304 | 78000 | 115769 | 43 |
| Natural gas consumption (cubic metres) - Harbin Branch | cubic metres | 20153 | 23800.65 | 25794.17 | 43 |
| Number of smart cabinets | 134 | 218 | 60 | ||
| Petrol consumption (litres) | litres | 39223 | 34285 | 37262 | 43 |
| Petrol consumption (litres) - Harbin Branch | litres | 192931 | 45737.78 | 12471.53 | 43 |
| Power consumption (kWh) | kWh | 6906177 | 6247487 | 6884000 | 43 |
| Power consumption (kWh) - Harbin Branch | kWh | 6652382 | 6002126 | 14306725 | 43 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Water consumption (tons) | tons | 58952 | 40178 | 50564 | 43 |
| Water consumption (tons) - Harbin Branch | tons | 52246.73 | 46311.69 | 78895.89 | 43 |
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 consumption (tons) | tons | 9 | 9.8 | 12.63 | 43 |
| Office paper consumption (tons) - Harbin Branch | tons | 55.6 | 75.2 | 165.3 | 43 |
| Voucher paper saved | million pieces | 5.32 | 41 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Investment amount in 2 new green projects | million RMB | 844 | 30 | ||
| LEED Silver Certification for headquarters building | LEED (2009 CORE AND SHELL DEVELOPMENT) | Silver | 42 | ||
| Total amount of green financial bonds issued | billion RMB | 5 | 30 | ||
| Total investment amount in green projects by green financial bonds | billion RMB | 3.473 | 30 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Aged 35-45 | person | 1431 | 2057 | 2603 | 49 | |
| Aged above 45 | person | 703 | 968 | 910 | 49 | |
| Aged under 35 | person | 4600 | 3706 | 3978 | 49 | |
| Average return on equity | % | 13.5 | 12.68 | 7.41 | 15 | |
| Average return on total assets | % | 0.96 | 0.94 | 0.61 | 15 | |
| Full-time staff, Female | person | 3833 | 3856 | 3962 | 49 | |
| Full-time staff, Male | person | 2910 | 2872 | 2979 | 49 | |
| General meeting and class meeting of shareholders (No.) | 6 | 3 | 3 | 70 | ||
| Harbin Economic Development and Investment Company shareholding in Harbin Bank | % of domestic shares, % of total shares, shares | 29.63 | 71 | |||
| Increase in customer deposits compared to end of last year | billion RMB | 30 | 9 | |||
| Junior management | person | 948 | 1128 | 1123 | 49 | |
| Number of BCDMs | 423 | 475 | 472 | 60 | ||
| Number of duty diaries recorded by Harbin Bank employees during Spring Festival Duty Diary activity | duty diaries | 60 | 86 | |||
| Number of employees achieved promotion in rank or salary through the points system for the performance review results | employees | 2400 | 47 | |||
| Number of headquarters business departments | 1 | 1 | 1 | 60 | ||
| Number of staff selected and reserved for the head office | staff | 4 | 10 | |||
| Proportion of female management staff | % | 46 | 51.11 | 50.36 | 15 | |
| Proportion of female staff | % | 56.84 | 57.3 | 57.08 | 15 | |
| Ranked 13th in the City Commercial Banks with an Asset Size of more than RMB200 billion in 2018 for the Ranking of the GYROSCOPE Evaluation System | rank | 13 | 73 | |||
| Ranked 271st in the Brand Finance Global 500 2019 | rank | 271 | 73 | |||
| Ranked 34th among the 2018 China Banking Top 100 List | rank | 34 | 73 | |||
| Senior management | person | 13 | 16 | 17 | 49 | |
| Technical staff | person | 5536 | 5533 | 5582 | 49 | |
| Total amount withdrawn by Zhongyi Group from Harbin Bank for purchase of medical materials and salary payment for hospital employees | million RMB | 200 | 86 | |||
| Total assets | RMB million, billion RMB, million RMB | 564255.2 | 615588.5 | 583089.4 | 13, 15, 53 | |
| Total loans and advances to customers | billion RMB | 2863.6041 | 53 | |||
| Total number of cross-border transfers of RMB cash | 22 | 57 | ||||
| Total personal loans | RMB100 million | 1183.758 | 1153.873 | 1190.839 | 56 | |
| Total staff | Person | 6743 | 6728 | 6941 | 15 | |
| Year-on-year increase in total retail deposits | % | 32.72 | 53 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Operating income | RMB million, billion RMB | 14133.6 | 14325.4 | 15.1244 | 15, 53 |
| Staff turnover rate aged 35-45 | % | 3.1 | 3.7 | 3.08 | 50 |
| Staff turnover rate aged above 45 | % | 1.54 | 2.07 | 1.54 | 50 |
| Staff turnover rate aged under 35 | % | 5.68 | 6.88 | 4.66 | 50 |
| Staff turnover rate female staff | % | 4.16 | 4.56 | 3.33 | 50 |
| Staff turnover rate male staff | % | 5.38 | 6.09 | 4.36 | 50 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Death benefit and hospitalisation insurance coverage for frontline workers in Harbin | million RMB per person (household) | 1 | 87 |
| Number of frontline workers covered by insurance in Harbin | workers | 500 | 87 |
| Total insurance coverage for frontline workers in Harbin | million RMB | 500 | 87 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Internal training (headquarters) | session | 200 | 166 | 172 | 49 |
| Number of employees covered by 'Leaders' Training Program' | employees | 2500 | 10 | ||
| Number of employees covered by 'embark, ride, cruise, escort and voyage' training system | employees | 10706 | 10 | ||
| Number of external training sessions for selected staff | sessions | 163 | 48 | ||
| Number of head office level trainers | persons | 65 | 48 | ||
| Number of internal training sessions | sessions | 581 | 48 | ||
| Number of staff participated in talents exchange and secondment between the head office and branches | staff | 37 | 47 | ||
| Number of staff participated in talents training and secondment | staff | 37 | 10 | ||
| Number of trainees selected and reserved for the head office | trainees | 71 | 47 | ||
| Number of trainees who were promoted | trainees | 34 | 47 | ||
| Number of training sessions (excluding subsidiaries) | sessions | 744 | 48 | ||
| Operating management | person | 246 | 231 | 229 | 49 |
| Total training (headquarters) | person | 8200 | 6060 | 5890 | 49 |
| Training completion rate | 100% | 48 | |||
| Training coverage rate | 100% | 48 | |||
| Training for Directors and Supervisors (No.) | 2 | 2 | 1 | 70 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Average training hours per person female staff | hour/person | 44 | 32 | 27.8 | 50 |
| Average training hours per person male staff | hour/person | 38.4 | 27.2 | 21.5 | 50 |
| External training (headquarters) | session | 60 | 104 | 94 | 49 |
| Junior management training hours per person (Branches) | hour/person | 45.3 | 23 | 20 | 50 |
| Junior management training hours per person (Headquarters) | hour/person | 40.5 | 41 | 35.4 | 50 |
| Operating management training hours per person (Branches) | hour/person | 40.4 | 25 | 21.8 | 50 |
| Operating management training hours per person (Headquarters) | hour/person | 39.7 | 28.8 | 24.2 | 50 |
| Senior management training hours per person (Headquarters) | hour/person | 34.2 | 32.9 | 28.4 | 50 |
| Technical staff training hours per person (Branches) | hour/person | 51.2 | 30.6 | 26.4 | 50 |
| Technical staff training hours per person (Headquarters) | hour/person | 50.4 | 38 | 33 | 50 |
| Total number of training sessions at various departments (headquarters) | session | 320 | 270 | 266 | 49 |
| Total training hours | hours | 3307 | 48 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| % of total loans to customers (microcredit loans) | % | 80.6 | 71.2 | 100 | 56 | |
| Accumulated leased amount of HB Leasing | million RMB | 180.858 | 55 | |||
| Accumulated targeted poverty alleviation loans granted | RMB100 million | 24.62 | 25.67 | 26.08 | 23 | |
| Balance of agricultural loans | RMB million | 4594.9 | 4250.7 | 3797.5 | 15 | |
| Balance of corporate loans to small enterprises | million RMB | 5959.3578 | 55 | |||
| Balance of green credit | million RMB | 17841.1 | 8 | |||
| Balance of loans to customers | RMB million | 237397.8 | 253762.7 | 263401.1 | 15 | |
| Balance of loans to small enterprise owners | million RMB | 3883.3 | 55 | |||
| Balance of micro credit loan amounted | billion RMB | 180 | 7 | |||
| Balance of microcredit loans | RMB100 million | 1914.256 | 1207.51 | 1754.417 | 56 | |
| Balance of the Bank's microcredit loans | million RMB | 178441.7 | 55 | |||
| Balance of the agricultural loans of the Bank | million RMB | 78397.5 | 55 | |||
| Balance of the loans to farmers | million RMB | 12887.7 | 55 | |||
| Balance of the targeted poverty alleviation loans | RMB100 million | 4.31 | 2.31 | 1.56 | 23 | |
| Green credit balance | RMB million, million RMB | 1862 | 1889 | 2411 | 15, 41 | |
| Green credit clients (households) | 11 | 18 | 24 | 29 | ||
| Green credit granting balance | billion RMB | 18.62 | 18.89 | 24.11 | 29 | |
| Helongjiang Financial Holdings indirect shareholding in Harbin Bank | % of domestic shares, % of total shares, shares | 25.59 | 71 | |||
| Increase in number of retail deposit customers | thousand | 905.6 | 53 | |||
| Maximum amount of a single credit transaction in the small-amount bulk payment system | million RMB | 500 | 84 | |||
| Microcredit balance | RMB million | 191425.6 | 180715.1 | 178447.1 | 15 | |
| NPL ratio | % | 1.7 | 1.73 | 1.99 | 15 | |
| National student loan distributed during the year | RMB million | 600 | 569 | 576 | 15 | |
| Number of Russia accounting banks with domestic and foreign currency settlement network | 22 | 57 | ||||
| Number of branch-level financial service centres for small enterprises | 1 | 1 | 1 | 60 | ||
| Number of branches | 17 | 17 | 17 | 60 | ||
| Number of green credit clients | 24 | 41 | ||||
| Number of green projects invested by green financial bonds | projects | 12 | 30 | |||
| Number of rural outlets | outlets | 42 | 47 | 47 | 24 | |
| Number of rural outlets for the underprivileged and impoverished counties | outlets | 19 | 18 | 21 | 24 | |
| Number of sub-branches | 277 | 281 | 282 | 60 | ||
| Number of sub-branches of village and township banks | 36 | 36 | 41 | 60 | ||
| Number of village and township banks in impoverished counties recognized by central government | banks | 36 | 36 | 32 | 24 | |
| Proportion of total loans to customers accounted for by micro credit loans | 65% | 7 | ||||
| Total amount of cross-border transfers of RMB cash | billion RMB | 0.312 | 57 | |||
| Total customer deposits | billion RMB, million RMB | 4253.6837 | 13, 53 | |||
| Year-on-year increase in green credit balance | 33.33% | 41 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Year-on-year increase in number of green credit clients | 27.63% | 41 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Clients of village and township banking services | Account | 373646 | 449461 | 430164 | 15 |
| Corporate online banking customers | thousand | 8.2 | 9.04 | 9.36 | 61 |
| Customer deposits | billion RMB | 425.6 | 9 | ||
| Improvement in individual client business | 14.3% | 41 | |||
| Number of ATMs | 321 | 342 | 310 | 60 | |
| Number of card issuance machines | 12 | 13 | 15 | 60 | |
| Number of clients of village and township banks (thousand) | thousand clients | 4469.27 | 5030.4 | 5304.49 | 24 |
| Number of non-cash super counters | 130 | 60 | |||
| Number of retail deposit customers | million | 13.1589 | 53 | ||
| Number of users of mobile phone banking | thousand | 75.72 | 117.22 | 191.31 | 61 |
| Personal online banking customers | thousand | 173.98 | 221.16 | 307.88 | 61 |
| Personal operating loan granted to Li Guofeng by Shenyang Branch of the Bank | million RMB | 2 | 34 | ||
| Personal operating loan granted to Zhang Xiaoguang by Shenyang Branch of the Bank | million RMB | 3 | 34 | ||
| Total business calls of phone banking | thousand | 315.53 | 451.39 | 491.65 | 61 |
| Total customers (online banking) | thousand | 182.18 | 233.2 | 317.29 | 61 |
| Year-on-year increase in number of retail customers with personal financial assets in RMB and other currencies over RMB500000 | thousand | 186 | 53 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Number of multi-media inquiry machines | 102 | 94 | 87 | 60 | ||
| Previous maximum amount of a single credit transaction in the small-amount bulk payment system | million RMB | 1 | 84 | |||
| Top 10 Private Enterprises for Financial Service Innovation Award under 2019 China’s Financial Service Innovation Award | rank | 10 | 73 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Bank's RMB-RUB transaction volume | billion RUB | 80 | 57 | ||
| Number of followers of WeChat banking | thousand | 160.85 | 222.44 | 254.74 | 61 |
| Replacement rate of business transactions through electronic banking | % | 87 | 91 | 93 | 15, 60 |
| Replacement rate of business transactions through mobile banking | % | 45 | 51 | 61 | 60 |
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 |
|---|---|---|---|---|---|
| Capital adequacy ratio | % | 12.25 | 12.15 | 12.53 | 15, 53 |
| Provision coverage ratio | % | 167.24 | 169.88 | 152.5 | 15 |
| Record high cross-border transfer of RMB cash | billion RMB | 0.192 | 57 | ||
| Tier-1 capital adequacy ratio | % | 10.23 | 53 | ||
| Total interbank credit granted by the Bank to Russian banks | billion RUB | 8 | 57 | ||
| Total tax | RMB million | 3445.03 | 3462.11 | 2789.49 | 15 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Meeting of special committees of the Board of Directors (No.) | 26 | 33 | 31 | 70 | |
| Meeting of special committees of the Board of Supervisors (No.) | 7 | 13 | 7 | 70 | |
| Meeting of the Board of Directors (No.) | 7 | 8 | 10 | 70 | |
| Meeting of the Board of Supervisors (No.) | 4 | 7 | 7 | 70 | |
| Number of controlling village and township banks | 32 | 32 | 32 | 60 | |
| Survey and investigation by Independent Directors (No.) | 2 | 5 | 4 | 70 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Accumulated number of underprivileged students served | 250000 | 54 | |||
| Accumulated registered poor households with Harbin Bank's support | 1000 people | 6.71 | 6.96 | 7.08 | 23 |
| Branch loan granted to Li Guofeng for steady development of the enterprise | million RMB | 2 | 34 | ||
| Branch loan granted to Zhang Xiaoguang for Teng Ao Wastewater Treatment Plant in Teng'ao Town, Haicheng City, Anshan City, Liaoning Province | million RMB | 5 | 34 | ||
| Forbes Global 2000 ranking | rank | 1130 | 1154 | 1117 | 13 |
| Forbes Global 2000: ranked 1117th | rank | 1117 | 73 | ||
| Number of Ha Run e Generation Club members finishing full marathon distance at Harbin Marathon | persons | 50 | 52 | ||
| Number of Ha Run e Generation Club members finishing half marathon distance at Harbin Marathon | persons | 300 | 52 | ||
| Number of Ha Run e Generation Club members participating in Harbin Marathon | persons | 1000 | 52 | ||
| Number of charity projects supported by United Charity Foundation | 56 | 66 | |||
| Number of cities (prefectures) covered by 'Happy Community' micro-charity project | cities | 11 | 37 | ||
| Number of cities covered by charity activities | 7 | 8 | |||
| Number of greenhouses to be established for poverty-stricken households in Shuangong Village | greenhouses | 50 | 25 | ||
| Number of investment projects with raised funds | projects | 8 | 30 | ||
| Number of on-site poverty alleviation projects conducted with non-profit organisations | 23 | 8 | |||
| Number of participants in Village Party Member Activity Room meeting | 35 | 26 | |||
| Number of participants in the 4th Sun Island Marathon of Harbin Bank (Group) | people | 1800 | 51 | ||
| Number of people served by Happy Community Programme | people | 100000 | 35 | ||
| Number of poverty-stricken households' oxcarts sent to collect seeds and fertilizers | 50 | 26 | |||
| Outstanding loan amount | million RMB | 1896 | 54 | ||
| Outstanding loans of village and township banks (RMB ten thousand) | RMB ten thousand | 1317126 | 1320994 | 1350758 | 24 |
| People lifted from poverty | 1000 people | 2.71 | 3.03 | 3.42 | 23 |
| Proportion of loans to small enterprise owners to the Bank's personal loans | 22.3% | 55 | |||
| Top 1000 World Banks 2019: ranked 199th | rank | 199 | 73 | ||
| Total investment in 'Happy Community' micro-charity project | RMB | 450000 | 37 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| % of the balance of microcredit loans (personal loans) | % | 61.84 | 63.9 | 68.74 | 56 | |
| Accumulated amount of government education loans granted | million RMB | 4276 | 54 | |||
| Core tier-1 capital adequacy ratio | % | 10.21 | 53 | |||
| Distribution of the balance of microcredit loans (corporate loans to small enterprises) | RMB100 million | 730.498 | 653.273 | 693.578 | 56 | |
| Distribution of the balance of microcredit loans (personal loans) | RMB100 million | 1183.758 | 1153.878 | 1190.839 | 56 | |
| Distribution of the balance of personal loans (loans to farmers) | RMB100 million | 101.024 | 129.074 | 126.877 | 56 | |
| Distribution of the balance of personal loans (loans to small enterprise owners) | RMB100 million | 328.415 | 328.682 | 383 | 56 | |
| Distribution of the balance of personal loans (personal consumption loans) | RMB100 million | 754.319 | 606.152 | 680.942 | 56 | |
| Donation by Harbin Bank to four key pandemic prevention hospitals in Heilongjiang Province | million RMB | 5 | 86 | |||
| Expenditure on social welfare undertakings | million RMB | 28.2 | 63 | |||
| First financing for small and micro enterprises supporting pandemic prevention through Harbin Bank green channels | million RMB | 3 | 86 | |||
| Funds accumulated by United Charity Foundation to support charity projects | million RMB | 12.52 | 66 | |||
| Government education loan amount granted in 2019 | million RMB | 576 | 54 | |||
| Increase in balance of green credit compared with last year | million RMB | 522 | 8 | |||
| Maximum line of credit with Credit Bank of Moscow | million USD | 100 | 57 | |||
| Number of Medical Card fee waivers for first-line medical workers | fees | 20 | 87 | |||
| Number of books shared by Harbin Bank employees during Spring Festival Duty Diary activity | books | 213 | 86 | |||
| Number of charity activities across cities | 1600 | 8 | ||||
| Number of charity activities conducted under Happy Community Programme | activities | 1600 | 35 | |||
| Number of counties (districts) covered by 'Happy Community' micro-charity project | counties | 30 | 37 | |||
| Number of employees from on-site poverty alleviation team providing financial aid to students from poverty-stricken families in Shuangong Village | employees | 6 | 25 | |||
| Number of families participating in bird caring activity at Nankai Sub-branch of Tianjin Branch | families | 40 | 44 | |||
| Number of residents served by Happy Community Programme | 100000 | 8 | ||||
| Number of students from poverty-stricken families in Shuangong Village receiving financial aid to attend university | students | 4 | 25 | |||
| Number of underprivileged students having signed contracts in 2019 | 21500 | 54 | ||||
| Number of volunteers participating in bird caring activity at Nankai Sub-branch of Tianjin Branch | volunteers | 15 | 44 | |||
| O/W, balance of the targeted poverty alleviation loans in Heilongjiang | RMB100 million | 3.27 | 1.78 | 1.45 | 23 | |
| Percentage of poverty-stricken households participating in potato planting | % | 45 | 26 | |||
| Poverty alleviation loans for registered households (distributed during the year) | RMB million | 237.7 | 90.59 | 41.45 | 15 | |
| Public welfare funds invested by Happy Community Programme | million RMB | 3.8 | 8 | |||
| Public welfare funds invested in Happy Community Programme | million RMB | 8.4 | 35 | |||
| Total charity donation | RMB'000 | 2288.6 | 1517.6 | 820 | 15 | |
| Total funds utilised in aggregate for green projects | billion RMB | 1.828 | 30 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit |
|---|---|
| Airborne Particulate Matter (PM) Emissions | tons |
| NOâ‚“ Emissions | tons |
| SOâ‚“ Emissions | tons |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Hazardous Waste Recycled | tons |
| Total Hazardous Waste | tons |
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 |
|---|---|---|---|---|
| Non-Hazardous Waste (Electronic Waste) | pieces | 6130 | 9489 | 23053 |
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 |
|---|---|---|---|---|
| Diesel Fuel Consumption | litres | 16490 | 4350 | 1511 |
| Gasoline Consumption | litres | 232154 | 80022.78 | 49733.53 |
| Natural Gas Consumption | cubic metres | 100457 | 101800.65 | 141563.17 |
| Purchased Electricity | kWh | 13558559 | 12249613 | 21190725 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption | tons | 58952 | 40178 | 50564 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Packaging Material Consumption (Paper) | tons | 64.6 | 85 | 177.93 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Investment in Ecological Restoration | million RMB | 3473 |
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 Female Employees | person | 3833 | 3856 | 3962 |
| Number of Full-time Employees (Female) | person | 3833 | 3856 | 3962 |
| Number of Full-time Employees (Male) | person | 2910 | 2872 | 2979 |
| Number of Junior Management Employees | person | 948 | 1128 | 1123 |
| Number of Male Employees | person | 2910 | 2872 | 2979 |
| Number of Senior Management Employees | person | 13 | 16 | 17 |
| Number of Total Employees | person | 6743 | 6728 | 6941 |
| Percentage of Female Employees | % | 56.84 | 57.3 | 57.08 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Turnover Rate of Female Employees | % | 4.16 | 4.56 | 3.33 |
| Turnover Rate of Male Employees | % | 5.38 | 6.09 | 4.36 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Work Safety | million RMB | 500 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Average Training Hours (Female) | hour/person | 44 | 32 | 27.8 |
| Average Training Hours (Male) | hour/person | 38.4 | 27.2 | 21.5 |
| Average Training Hours (Middle Management) | hour/person | 42.9 | 32 | 25.7 |
| Average Training Hours (Operational Employees) | hour/person | 40.05 | 26.9 | 23 |
| Average Training Hours (Senior Management) | hour/person | 34.2 | 32.9 | 28.4 |
| Average Training Hours (Technical Employees) | hour/person | 50.8 | 34.3 | 29.7 |
| Total Training Hours | hours | 3307 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit |
|---|---|
| Complaints Handling Rate | % |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Donations to Disaster Relief Contributions to Public Welfare | million RMB | 5 | |||
| Investment in Education Donation | million RMB | 576 | |||
| Investment in Targeted Poverty Alleviation | million RMB | 237.7 | 90.59 | 41.45 | |
| Number of Employees Participating in Volunteer Activities | employees | 6 | |||
| Number of Volunteer Activities Sessions | activities | 1600 | |||
| Number of Volunteers among Employees | volunteers | 15 | |||
| Total Public Welfare Donations | million RMB | 2.2886 | 1.5176 | 0.82 | |
| Total Social Investment | million RMB | 28.2 |