HARBIN BANK CO., LTD. 2020 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 |
---|---|---|---|---|---|
Reduction in BOD discharge | tonnes | 1022 | 1022 | 279.84 | 40 |
Reduction in COD discharge | tonnes | 1825 | 1825 | 437.25 | 40 |
Reduction in ammonia nitrogen discharge | tonnes | 200 | 200 | 40 | |
Reduction in nitrogen oxide emissions | tonnes | 1574.59 | 1380 | 194.59 | 40 |
Reduction in particulate matter | tonnes | 27992.47 | 21554 | 6438.47 | 40 |
Reduction in sulphur dioxide emissions | tonnes | 2740 | 414.35 | 40 | |
Reduction in total nitrogen discharge | tonnes | 200 | 200 | 40 | |
Reduction in total phosphorus discharge | tonnes | 25.6 | 25.6 | 40 |
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 | 2020 | Report Pages |
---|---|---|---|
Harbin Bank Consumer Finance CO2 emissions reduced | kg | 100000 | 44 |
Harbin Bank Consumer Finance annual CO2 emission reduction from cloud adoption | tonnes | 254 | 44 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2020 | Report Pages |
---|---|---|---|---|
Waste acid treated annually | 0000 tonnes | 39 | 39 | 40 |
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 |
---|---|---|---|---|---|
Harbin Bank Consumer Finance paper saved | sheets | 28100000 | 44 | ||
Sewage discharge (cubic metres) | cubic metres | 39744 | 39744 | 35610 | 45 |
Sewage discharge (cubic metres) - Harbin Branch | cubic metres | 69257 | 92183.73 | 9352 | 45 |
Toner cartridges used (pieces) | pieces | 137 | 149 | 175 | 45 |
Toner cartridges used (pieces) - Harbin Branch | pieces | 22904 | 9362 | 7843 | 45 |
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 |
---|---|---|---|---|---|
Annual production of 18% regenerated hydrochloric acid | 0000 tonnes | 35.4 | 35.4 | 40 | |
Annual production of iron oxide powder | 0000 tonnes | 5.4 | 5.4 | 40 | |
Diesel consumption (litres) | litres | 3500 | 1200 | 960 | 45 |
Diesel consumption (litres) - Harbin Branch | litres | 850 | 311 | 260 | 45 |
Estimated savings of standard coal | tonnes | 51200 | 40 | ||
Gasoline consumption (litres) | litres | 34285 | 37262 | 28824 | 45 |
Gasoline consumption (litres) - Harbin Branch | litres | 45737.8 | 27439.8 | 20153 | 45 |
Harbin Bank Consumer Finance annual electricity saved | kWh | 255000 | 44 | ||
Investment in electricity, heat, gas and water production and supply (Harbin Bank Financial Leasing) | RMB100 million | 61.3 | 43.7 | 53.23 | 41 |
Natural gas consumption (cubic metres) | cubic metres | 78000 | 115769 | 96858 | 45 |
Natural gas consumption (cubic metres) - Harbin Branch | cubic metres | 263794.17 | 29850.19 | 11091.87 | 45 |
Percentage of green credit balance (%) | % | 0.74 | 0.91 | 0.94 | 39 |
Power consumption (kWh) | kWh | 6247697 | 6884004 | 6764360 | 45 |
Power consumption (kWh) - Harbin Branch | kWh | 6002126 | 14306725 | 6389097 | 45 |
Public buses purchased | vehicles | 120 | 40 | ||
Total length of newly built and renovated rain and sewage pipes | km | 314.6 | 267 | 40 | |
Total length of revamped rivers | km | 17.37 | 17.37 | 40 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Reduction in the discharge of suspended solids | tonnes | 1131.5 | 1131.5 | 40 | |
Savings in water | m³ | 428000 | 40 | ||
Water consumption (tonnes) | tonnes | 40178 | 50564 | 35610 | 45 |
Water consumption (tonnes) - Harbin Branch | tonnes | 46311.9 | 78895.8 | 37179.77 | 45 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2017 | 2020 | Report Pages |
---|---|---|---|---|
Harbin Bank Consumer Finance cloud adoption rate | % | 65 | 44 | |
Harbin Bank Consumer Finance physical servers reduced | servers | 85 | 44 | |
Head office gasoline consumption decrease | litres | 10438 | 44 | |
Head office gasoline consumption decrease percentage | % | 28 | 44 | |
Head office natural gas consumption decrease | m³ | 1891.7 | 44 | |
Head office natural gas consumption decrease percentage | % | 16.3 | 44 | |
Head office paper consumption decrease | tonnes | 3.67 | 44 | |
Head office paper consumption decrease percentage | % | 29.1 | 44 | |
Head office power consumption decrease | kWh | 463200 | 44 | |
Head office power consumption decrease percentage | % | 6.7 | 44 | |
Investment in land requisition and photovoltaic power station construction | RMB | 230000 | 32 |
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 | 2020 | Report Pages |
---|---|---|---|---|
Head office water consumption decrease | tonnes | 14694 | 44 | |
Head office water consumption decrease percentage | % | 29.6 | 44 | |
Percentage of households in Shuanglong Village with tap water at home | % | 94 | 32 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Office paper consumption (tonnes) | tonnes | 9.88 | 12.63 | 8.96 | 45 |
Office paper consumption (tonnes) - Harbin Branch | tonnes | 75.2 | 165.3 | 62.25 | 45 |
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 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Ecological land such as forest parks | mu | 190 | 40 | |||
Investment in water conservancy, environment and public facilities management (Harbin Bank Financial Leasing) | RMB100 million | 16.52 | 23.09 | 21.5 | 41 | |
Length of hardened roads built in sub-villages | km | 9.1 | 32 | |||
Newly built utility tunnel system | km | 51.02 | 25.51 | 25.51 | 40 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Aged 35-45 | person | 2057 | 2053 | 2311 | 54 |
Aged above 45 | person | 966 | 910 | 1058 | 54 |
Aged under 35 | person | 3705 | 3678 | 3645 | 54 |
Average balance of retail deposits | million RMB | 2661.6017 | 56 | ||
Average return on equity | % | 12.68 | 7.41 | 1.51 | 16 |
Average return on total assets | % | 0.94 | 0.61 | 0.13 | 16 |
Full-time staff (Female) | person | 3856 | 3962 | 3985 | 54 |
Full-time staff (Male) | person | 2872 | 2979 | 3007 | 54 |
General meetings and class meetings of shareholders | No. | 3 | 3 | 4 | 78 |
Growth rate of average balance of retail deposits | % | 49 | 56 | ||
Growth rate of total retail deposit customers | % | 3.74 | 56 | ||
Growth rate of total retail deposits | % | 33.3 | 56 | ||
Harbin Bank ranking in Brand Finance Global 500 | st | 195 | 217 | 191 | 14 |
Harbin Bank ranking in The Banker 'Top 1000 World Banks' | th | 207 | 199 | 199 | 14 |
Junior management | person | 1128 | 1123 | 1090 | 54 |
Number of class meetings of shareholders in total | meetings | 10 | 77 | ||
Number of employees promoted or received a raise | employees | 1400 | 51 | ||
Number of reserve trainee assistants nominated | assistants | 8 | 51 | ||
Percentage of female directors on the Board of Directors | % | 9.09% | 78 | ||
Professional staff | person | 5853 | 5582 | 5647 | 54 |
Proportion of female management staff | % | 51.11 | 50.36 | 52.11 | 16 |
Proportion of female staff | % | 57.3 | 57.08 | 56.9 | 16 |
Senior management | person | 16 | 17 | 15 | 54 |
Total assets | RMB million, billion RMB | 615588.5 | 583089.4 | 598603.6 | 10, 14, 16, 56 |
Total loans | billion RMB | 2860.6 | 10 | ||
Total loans amount | billion RMB | 2820.6 | 8 | ||
Total loans and advances to customers | billion RMB | 2800.5672 | 14, 56 | ||
Total loans provided by Shenyang Branch for local private environmental companies | RMB million | 27.38 | 42 | ||
Total number of important meetings arranged by the Company | meetings | 61 | 77 | ||
Total personal loans | RMB100 million | 1153.878 | 1190.839 | 1201.743 | 59 |
Total staff | Person | 6728 | 6941 | 6992 | 16 |
WeChat banking - Number of followers | 0000 | 222.44 | 254.74 | 309.89 | 63 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Operating income | RMB million, billion RMB | 14325.4 | 15124.4 | 14606.3 | 10, 16 |
Staff turnover rate by age - Aged 35-45 | % | 3.7 | 3.08 | 0.75 | 55 |
Staff turnover rate by age - Aged above 45 | % | 2.07 | 1.54 | 0.11 | 55 |
Staff turnover rate by age - Aged under 35 | % | 6.88 | 4.66 | 1.9 | 55 |
Staff turnover rate by gender - Female staff | % | 4.56 | 3.33 | 1.53 | 55 |
Staff turnover rate by gender - Male staff | % | 6.09 | 4.36 | 1.23 | 55 |
Lost days due to work injury.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Days of absence due to work injuries | days | 187 | 55 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Aggregate training sessions | attendance/person | 6080 | 5990 | 7120 | 54 |
Internal training sessions | attendance | 166 | 172 | 139 | 54 |
Number of external training sessions for selected staff | sessions | 108 | 51 | ||
Number of internal training sessions | sessions | 470 | 51 | ||
Number of trainee assistants appointed | assistants | 5 | 51 | ||
Number of training sessions conducted | sessions | 678 | 51 | ||
Operating management | person | 231 | 239 | 240 | 54 |
Training for Directors and Supervisors | No. | 2 | 1 | 3 | 78 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
External training sessions | attendance | 104 | 94 | 62 | 54 |
Total training hours | hours | 3210 | 51 | ||
Total training sessions received by the departments | attendance | 270 | 266 | 201 | 54 |
Training hours per capita by employee type - Branches - Junior management | hours/person | 23 | 20 | 18.3 | 55 |
Training hours per capita by employee type - Branches - Operating management | hours/person | 25 | 21.6 | 19.4 | 55 |
Training hours per capita by employee type - Branches - Professional staff | hours/person | 30.6 | 26.4 | 23.8 | 55 |
Training hours per capita by employee type - Head Office - Junior management | hours/person | 41 | 35.4 | 27.3 | 55 |
Training hours per capita by employee type - Head Office - Operating management | hours/person | 28 | 24.2 | 20.3 | 55 |
Training hours per capita by employee type - Head Office - Professional staff | hours/person | 38 | 33 | 31.2 | 55 |
Training hours per capita by employee type - Head Office - Senior management | hours/person | 32.9 | 28.4 | 21.7 | 55 |
Training hours per capita by gender - Female staff | hours/person | 32 | 27.6 | 26.8 | 55 |
Training hours per capita by gender - Male staff | hours/person | 27.2 | 23.5 | 22.8 | 55 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
% of total loans to customers (microcredit loans) | % | 71.2 | 67.7 | 63.8 | 59 |
Aggregate transaction settlement | million RMB | 1058 | 65 | ||
Balance of agricultural loans | RMB million, million RMB | 42507 | 37975 | 15379.9 | 16, 58 |
Balance of agricultural loans to farmers | million RMB | 3820.2 | 58 | ||
Balance of calibrated poverty alleviation loans issued by subsidiaries | RMB billion | 3.87 | 30 | ||
Balance of calibrated poverty alleviation loans issued by subsidiaries in Heilongjiang Province | RMB billion | 3.25 | 30 | ||
Balance of corporate loans to small enterprises | million RMB | 586946.3 | 58 | ||
Balance of inclusive small and micro loans | billion RMB | 42.033 | 8, 24 | ||
Balance of loans to customers | RMB million | 253762.7 | 263604.1 | 280567.2 | 16 |
Balance of loans to small enterprise owners | million RMB | 36890.1 | 58 | ||
Balance of microcredit loans | RMB100 million | 1807.151 | 1784.417 | 1791.206 | 59 |
Balance of microcredit reached | million RMB | 179120.6 | 58 | ||
Green credit balance | RMB million, million RMB | 1889 | 2411 | 28632 | 16, 38 |
Green credit balance (RMB100 million) | RMB100 million | 18.09 | 24.11 | 26.32 | 39 |
Green credit balance as percentage of total loans and advances to customers | % | 0.94 | 38 | ||
Green credit customers (account) | 18 | 24 | 21 | 39 | |
Increase in total retail deposit customers | thousand | 492.8 | 56 | ||
Increase in total retail deposits | million RMB | 719 | 56 | ||
Microcredit balance | RMB million | 180715.1 | 178447.1 | 179120.6 | 16 |
Microcredit loans as percentage of total loans | 63.8% | 10 | |||
NPL ratio | % | 1.73 | 1.99 | 2.97 | 16 |
National student loan distributed during the year | RMB million | 598 | 587 | 526 | 16 |
Non-listed shares held by corporations (domestic shares) - Number | shares | 7908966550 | 80 | ||
Non-listed shares held by corporations (domestic shares) - Percentage | % | 71.93 | 80 | ||
Non-listed shares held by natural persons - Number | shares | 63003003 | 80 | ||
Non-listed shares held by natural persons - Percentage | % | 0.57 | 80 | ||
Number of green credit customers | 21 | 38 | |||
Number of outlets serving poor, remote and minority areas (excluding business departments) | 19 | 21 | 19 | 31 | |
Number of rural banks established in state-designated poverty-stricken counties | banks | 11 | 9 | ||
Number of rural banks in state-designated poverty-stricken counties | 10 | 11 | 11 | 31 | |
Number of rural service outlets | 43 | 47 | 59 | 31 | |
Overseas listed foreign shares (H shares) - Number | shares | 3023570000 | 80 | ||
Overseas listed foreign shares (H shares) - Percentage | % | 27.5 | 80 | ||
Total customer deposits | billion RMB | 4692.9 | 10, 14, 56 | ||
Total investment during the reporting period (Harbin Bank Financial Leasing) | RMB100 million | 129.27 | 108.58 | 113.34 | 41 |
Value of transaction settlement | billion RMB | 131.5 | 65 | ||
Year-on-year growth rate of green credit balance | % | 9.17 | 38 | ||
Year-on-year increase in green credit balance | million RMB | 221 | 38 | ||
Year-on-year increase in green credit balance as percentage of total loans and advances to customers | % | 0.03 | 38 | ||
Year-on-year increase in loans for local private environmental companies by Shenyang Branch | RMB million | 8.65 | 42 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Clients of village and township banking services | Account | 446391 | 534409 | 529863 | 16 |
Credit card asset balance | million RMB | 1948.9 | 56 | ||
Income to the real economy delivered | billion RMB | 80 | 8 | ||
Market share of retail deposits | % | 18.9 | 56 | ||
Number of cases handled by credit card centre | cases | 2400000 | 66 | ||
Number of cases handled by customer service centre | cases | 1830000 | 66 | ||
Number of consumer complaints processed | complaints | 1745 | 66 | ||
Number of credit card business complaints from regions including Heilongjiang Province, Liaoning Province and Sichuan Province | complaints | 492 | 66 | ||
Number of customers served by 11 rural banks | customers | 210000 | 9 | ||
Number of customers served by the rural banks (account) | 448301 | 530490 | 592853 | 31 | |
Number of general business complaints in areas such as loan business, RMB saving, bank card and payment and settlement | complaints | 1253 | 66 | ||
Online banking - Corporate online banking customers | 0000 | 9.04 | 9.38 | 9.8 | 63 |
Online banking - Personal online banking customers | 0000 | 221.16 | 307.88 | 382.86 | 63 |
Online banking - Total customers | 0000 | 230.2 | 317.26 | 392.66 | 63 |
Online interactions in 2020 | times | nearly 100000 | 26 | ||
Percentage of complaints for the year settled | 100% | 66 | |||
Phone banking - Number of users | 0000 | 117.22 | 194.31 | 268.65 | 63 |
Phone banking - Total business | 0000 | 451.39 | 451.65 | 423 | 63 |
Total number of issued credit cards | thousand | 1277.5 | 56 | ||
Total number of issued debit cards | million | 17194 | 56 | ||
Year-on-year decrease in consumer complaints processed | % | -3.4 | 66 | ||
Year-on-year decrease in newly issued credit cards | % | 8.8 | 56 | ||
Year-on-year growth rate in retail customers with personal financial assets over RMB500000 | % | 13.7 | 56 | ||
Year-on-year increase in credit card asset balance | % | 8.8 | 56 | ||
Year-on-year increase in issued credit cards | % | 19.5 | 56 | ||
Year-on-year increase in newly issued debit cards | % | 3.76 | 56 | ||
Year-on-year increase in retail customers with personal financial assets over RMB500000 | thousand | 103 | 56 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Total number of shares - Number | shares | 10996590553 | 80 |
Total number of shares - Percentage | % | 100 | 80 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Amount of cross-border transportation of RMB cash to Russia | million yuan | 362 | 64 | ||
Amount of cross-border transportation of Rouble cash to China | billion RUB | 7.1 | 64 | ||
Bank's loans to small and micro finance customers | million RMB | 58946.3 | 24 | ||
Bank's loans to small enterprise owners | million RMB | 36890 | 24 | ||
Bank's total corporate loans amount | million RMB | 165.5518 | 24 | ||
Electronic banking - Replacement rate of business transactions through electronic banking | % | 91 | 93 | 95 | 63 |
Electronic banking - Replacement rate of business transactions through mobile banking | % | 51 | 61 | 67 | 63 |
Harbin Bank Consumer Finance paperless contracts signed | contracts | 5622000 | 44 | ||
Replacement rate of business transactions through electronic banking | % | 91 | 93 | 95 | 16 |
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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Amount involved in outstanding material legal proceedings against the Bank (as a defendant or a third-party defendant) | million RMB | 21 | 83 | ||
Capital adequacy ratio | % | 12.15 | 12.53 | 12.59 | 16, 56 |
Increase in total corporate loans from beginning of the year | million RMB | 17.9735 | 24 | ||
Provision coverage ratio | % | 169.88 | 152.5 | 133.26 | 16 |
Tier-1 capital adequacy ratio | % | 10.2 | 56 | ||
Total tax | RMB million | 3462.11 | 2798.49 | 3018.02 | 16 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Meetings of the Board of Directors | No. | 8 | 10 | 10 | 78 |
Meetings of the Board of Supervisors | No. | 9 | 7 | 6 | 78 |
Meetings of the special committees under the Board of Directors | No. | 33 | 31 | 32 | 78 |
Meetings of the special committees under the Board of Supervisors | No. | 13 | 9 | 7 | 78 |
Number of major proposals and reports considered and approved by the Company | proposals and reports | 275 | 77 | ||
Number of meetings of the Board of Directors | meetings | 10 | 77 | ||
Surveys and visits arranged by the Board of Directors for independent directors | No. | 5 | 4 | 2 | 78 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of meetings of the Board of Supervisors | meetings | 6 | 77 |
Number of meetings of the special committees of the Board of Directors | meetings | 32 | 77 |
Number of meetings of the special committees of the Board of Supervisors | meetings | 9 | 77 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2017 | 2017-2020 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|
Accumulated number of underprivileged students served by government education loans | 269000 | 60 | |||||
Calibrated poverty alleviation loans issued | RMB billion | 7.8 | 30 | ||||
Customers under calibrated poverty alleviation | customers | 9876 | 30 | ||||
Distance hiked during riverside environmental protection activity, Chongqing Kaizhou Youth Charity Development Centre | km | 12 | 47 | ||||
Donation for road construction in sub-villages | RMB | 137000 | 32 | ||||
Donation to four key epidemic prevention hospitals in Heilongjiang Province | million RMB | 5 | 8 | ||||
Duration of Anti-Covid-19 Online Show broadcast | hours | 3 | 53 | ||||
Income and handling fees waived for SMEs and entities in service, wholesale and retail, pharmaceutical and healthcare, manufacturing and other industries | million RMB | 494 | 24 | ||||
Income and handling fees waived for small and micro enterprises and entities in service, wholesale and retail, pharmaceutical and healthcare, manufacturing and other industries | billion RMB | 50 | 8 | ||||
Income contributed to the real economy by Harbin Bank | million RMB | 900 | 24 | ||||
Investment to build a new house in Shuanglongtun of Shuanglong Village | RMB | 80000 | 32 | ||||
Investment to renovate the office space of village committees and square in Shuanglong Village | RMB | 29000 | 32 | ||||
Loan balance of the rural banks (RMB10000) | RMB10000 | 1206974 | 1350578 | 1710880 | 31 | ||
Loans for calibrated financial poverty alleviation | billion RMB | 10 | 14 | 8 | |||
Loans related to maintaining stable business and employment | billion RMB | 187.5 | 8 | ||||
Number of agencies under the Happy Community Programme | agencies | 49 | 27 | ||||
Number of beneficiaries of the Happy Community Programme | people | 400000 | 27 | ||||
Number of cities covered by the Happy Community Programme | cities | 8 | 27 | ||||
Number of cities participating in the Happy Community Programme | 8 | 46 | |||||
Number of cross-border transportation cases of RMB cash to Russia | cases | 25 | 64 | ||||
Number of employees of Harbin Bank participating in the Happy Community Programme | employees | 3000 | 27 | ||||
Number of employees who watched the Anti-Covid-19 Online Show simultaneously in multiple cities | employees | 4000 | 53 | ||||
Number of general meetings and class meetings of shareholders | meetings | 4 | 77 | ||||
Number of households benefiting from 6km of field roads | households | 34 | 32 | ||||
Number of households covered by poverty alleviation loans | households | 10000 | 8 | ||||
Number of online and offline activities covered by the Happy Community Programme | activities | 2000 | 27 | ||||
Number of participants in riverside hiking activity for environmental protection, Chongqing Kaizhou Youth Charity Development Centre | participants | 50 | 47 | ||||
Number of people expected to benefit from bird houses and ostrich purchase | people | 45 | 33 | ||||
Number of people helped by photovoltaic power station | people | 92 | 32 | ||||
Number of people in Shuanglong Village lifted out of poverty | people | 134 | 32 | ||||
Number of philanthropic activities related to green charity under the Happy Community Programme | 78 | 46 | |||||
Number of poverty-stricken Huining students sitting the National Higher Education Entrance Examination benefiting from donations | students | 88 | 68 | ||||
Number of programmes broadcast online during Anti-Covid-19 Online Show | programmes | 47 | 53 | ||||
Number of projects related to green charity under the Happy Community Programme | 21 | 46 | |||||
Number of projects under the Happy Community Programme | 74 | 46 | |||||
Number of sub-branches incorporating community charity features | 60 | 10 | |||||
Outstanding balance of poverty alleviation loans | RMB billion | 13.1 | 30 | ||||
Outstanding balance of poverty alleviation loans in Heilongjiang Province | RMB billion | 1.07 | 30 | ||||
Outstanding government education loan | RMB million | 1903 | 60 | ||||
Per capita annual net income of poor households in Shuanglong Village | RMB | 3068 | 4765.62 | 6465.67 | 8904 | 32 | |
Per capita annual net income of poor households in Shuanglong Village, Lianhua Town, Yanshou County, Heilongjiang Province | RMB | 3863.08 | 8904.21 | 8 | |||
Per capita net income increase of 63 households | RMB | 200-400 | 33 | ||||
Rural banks set up in state-designated poverty-stricken counties | banks | 11 | 30 | ||||
Total investment in Shuanglong Village poverty alleviation | RMB | 737037 | 32 | ||||
Total investment in Top 100 Projects and Top 100-Plus Banks serving 100-Plus Enterprises in Heilongjiang | billion RMB | 2.8 | 24 | ||||
Value of supplies distributed under the Happy Community Programme | RMB | 4300000 | 27 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2017 | 2017-2020 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|
% of the balance of microcredit loans (personal loans) | % | 63.9 | 66.74 | 67.09 | 59 | ||
Accumulated amount of government education loans granted | RMB million | 4819 | 60 | ||||
Amount donated to support 31 students | thousand RMB | 33 | 68 | ||||
Amount of government education loans granted in the year | RMB million | 526 | 60 | ||||
Amount of receivables and fees from entities in the real economy | million RMB | 80 | 10 | ||||
Annual rent for agricultural tractors | RMB | 44000 | 33 | ||||
Average income increase per household from greenhouse potato planting | RMB | 800 | 33 | ||||
Core tier-1 capital adequacy ratio | % | 10.18 | 56 | ||||
Distribution of the balance of microcredit loans - Corporate loans to small enterprises | RMB100 million | 653.273 | 593.578 | 589.463 | 59 | ||
Distribution of the balance of microcredit loans - Personal loans | RMB100 million | 1153.878 | 1190.839 | 1201.743 | 59 | ||
Distribution of the balance of personal loans - Loans to farmers | RMB100 million | 129.074 | 126.877 | 151.379 | 59 | ||
Distribution of the balance of personal loans - Loans to small enterprise owners | RMB100 million | 328.682 | 383 | 368.901 | 59 | ||
Distribution of the balance of personal loans - Personal consumption loans | RMB100 million | 696.152 | 680.962 | 681.463 | 59 | ||
Financial support from the special fund of the central government for foreign economic and trade development | thousand RMB | 1919.9 | 65 | ||||
Increase in average balance of retail deposits | million RMB | 945.1 | 56 | ||||
Increase in balance of inclusive small and micro loans from beginning of the year | billion RMB | 4.726 | 24 | ||||
Investment in agriculture sector (Harbin Bank Financial Leasing) | RMB100 million | 10.13 | 9.99 | 14.68 | 41 | ||
Loan balance of 11 rural banks | billion RMB | 3.2 | 9 | ||||
Number of communities and project partners participating in the Happy Community Programme | 400 | 46 | |||||
Number of families participating in Environmental Protection/Eat up Campaign reading event, Nankai Sub-branch of Tianjin Branch | families | 11 | 47 | ||||
Number of impoverished students supported with excellent performance in both character and learning to complete their studies | 540 | 68 | |||||
Number of newly issued credit cards | thousand | 208.8 | 56 | ||||
Number of newly issued debit cards | thousand | 623.6 | 56 | ||||
Number of people benefiting from agricultural tractor lease | people | 75 | 33 | ||||
Number of poor households benefiting from agricultural tractor lease | households | 43 | 33 | ||||
Number of poor households expected to benefit from bird houses and ostrich purchase | households | 27 | 33 | ||||
Number of poor households helped by photovoltaic power station | households | 57 | 32 | ||||
Number of poor households in Shuanglong Village lifted out of poverty | households | 84 | 32 | ||||
Number of students supported by donation of RMB33000 | students | 31 | 68 | ||||
Number of underprivileged students having signed contracts in the year | 19000 | 60 | |||||
Number of volunteers participating in the Happy Community Programme | volunteers | 6000 | 27 | ||||
Poverty alleviation loans for registered households (distributed during the year) | RMB million | 90.59 | 41.45 | 4.78 | 16 | ||
Registered poor customers supported | customers | 3193 | 30 | ||||
Registered poor households served | households | 74000 | 30 | ||||
Special funds allocated for village poverty alleviation in Shuanglong Village | million RMB | 32 | 32 | ||||
Special funds for COVID-19 epidemic financing | billion RMB | 10 | 10 | ||||
Special funds for village poverty alleviation allocated to build 6km of field roads | RMB | 496000 | 32 | ||||
Special funds for village poverty alleviation allocated to build bird houses and purchase ostriches | RMB | 520000 | 33 | ||||
Special funds for village poverty alleviation allocated to purchase agricultural tractors | RMB | 498000 | 33 | ||||
Special funds for village poverty alleviation to purchase solar street lamps | RMB | 321000 | 32 | ||||
Subtotal of above investments (Harbin Bank Financial Leasing) | RMB100 million | 87.47 | 76.48 | 89.41 | 41 | ||
Total charity donation | RMB0000 | 1.517 | 2.82 | 1.945 | 16 | ||
Total donations to Harbin Institute of Technology’s Education Development Foundation | million RMB | 1.57 | 68 | ||||
Total donations to poverty-stricken Huining students sitting the National Higher Education Entrance Examination | thousand RMB | 82 | 68 | ||||
Total expenditure on social charity initiatives | million RMB | 49.5 | 68 | ||||
Volunteer Service Duration by Li Zhaowei (Harbin Bank, Shuangji Sub-branch, Shoupai Road Community) | 12 February to 22 March 2020 | 72 | |||||
Volunteer Service Duration by Zhang Junyuan (Harbin Bank, Dongfeng Community, Xiangfang Sub-branch) | 18 February to 2 April 2020 | 72 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | tonnes | 27992.47 | 21554 | 6438.47 |
NOâ‚“ Emissions | tonnes | 1574.59 | 1380 | 194.59 |
SOâ‚“ Emissions | tonnes | 2740 | 414.35 |
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 | 2020 |
---|---|---|
Total GHG Emissions | tonnes | 254 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2020 |
---|---|---|---|
Hazardous Waste (Liquid Waste) | tonnes | 390000 | 390000 |
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 |
---|---|---|---|---|
Non-Hazardous Waste (Electronic Waste) | pieces | 22904 | 149 | 175 |
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 | litres | 3500 | 1200 | 960 |
Gasoline Consumption | litres | 34285 | 37262 | 28824 |
Natural Gas Consumption | cubic metres | 78000 | 115769 | 96858 |
Purchased Electricity | kWh | 6247697 | 6884004 | 6764360 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Water Consumption | tonnes | 40178 | 50564 | 35610 |
Water Consumption in Production and Operation | tonnes | 46311.9 | 78895.8 | 37179.77 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
Electricity Usage Reduction Compared to Last Year | kWh | 463200 |
Electricity Usage Reduction Percentage Compared to Last Year | % | 6.7 |
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 | 2020 |
---|---|---|
Water Consumption Reduction Compared to Last Year | tonnes | 14694 |
Water Consumption Reduction Percentage Compared to Last Year | % | 29.6 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Packaging Material Consumption (Paper) | tonnes | 85.08 | 177.93 | 71.21 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Investment in Ecological Restoration | RMB100 million | 16.52 | 23.09 | 21.5 |
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 Employees Aged 30-50 | person | 2057 | 2053 | 2311 |
Number of Employees Aged Above 50 | person | 966 | 910 | 1058 |
Number of Employees Aged Below 30 | person | 3705 | 3678 | 3645 |
Number of Female Employees | person | 3856 | 3962 | 3985 |
Number of Full-time Employees (Female) | person | 3856 | 3962 | 3985 |
Number of Full-time Employees (Male) | person | 2872 | 2979 | 3007 |
Number of Junior Management Employees | person | 1128 | 1123 | 1090 |
Number of Male Employees | person | 2872 | 2979 | 3007 |
Number of Senior Management Employees | person | 16 | 17 | 15 |
Number of Total Employees | person | 6728 | 6941 | 6992 |
Percentage of Female Employees | % | 57.3 | 57.08 | 56.9 |
Percentage of Female Management Staff | % | 51.11 | 50.36 | 52.11 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Turnover Rate of Female Employees | % | 4.56 | 3.33 | 1.53 |
Turnover Rate of Male Employees | % | 6.09 | 4.36 | 1.23 |
Lost days due to work injury.
Standard Indicator | Unit | 2020 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 187 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Health Check Coverage for Employees | percent |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Average Training Hours (Female) | hours/person | 32 | 27.6 | 26.8 |
Average Training Hours (Male) | hours/person | 27.2 | 23.5 | 22.8 |
Average Training Hours (Senior Management) | hours/person | 32.9 | 28.4 | 21.7 |
Total Training Hours | hours | 3210 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2020 |
---|---|---|
Complaint Growth Rate | % | -3.4 |
Complaints Handling Rate | % | 100 |
Number of Complaints Dealt with | complaints | 1745 |
Total Number of Customer Complaints | complaints | 1745 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2017 | 2017-2020 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|
Investment in Education Donation | RMB | 82000 | ||||
Investment in Targeted Poverty Alleviation | RMB | 321000 | 32000000 | 496000 | 41450000 | 498000 |
Number of Employees Participating in Volunteer Activities | volunteers | 6000 | ||||
Total Public Welfare Donations | RMB | 15170 | 28200 | 19450 | ||
Total Social Investment | RMB | 49500000 |