China CITIC Bank 2019 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Loan balance to aluminum smelting industry (high pollution, high energy consumption and overcapacity) | RMB hundred million | 81.02 | 101.18 | 51 |
| Loan balance to cement industry (high pollution, high energy consumption and overcapacity) | RMB hundred million | 18.57 | 31.7 | 51 |
| Loan balance to coke industry (high pollution, high energy consumption and overcapacity) | RMB hundred million | 4.57 | 51 | |
| Loan balance to copper smelting industry (high pollution, high energy consumption and overcapacity) | RMB hundred million | 4.46 | 9.93 | 51 |
| Loan balance to lead and zinc smelting industry (high pollution, high energy consumption and overcapacity) | RMB hundred million | 3.45 | 3.8 | 51 |
| Loan balance to steel industry (high pollution, high energy consumption and overcapacity) | RMB hundred million | 225.15 | 206.31 | 51 |
| Loan balance to thermal power generation industry (high pollution, high energy consumption and overcapacity) | RMB hundred million | 105.05 | 107.81 | 51 |
| Nitrogen oxides emissions | tons | 1.05 | 0.73 | 54 |
| Sulphur dioxide emissions | tons | 0.03 | 0.03 | 54 |
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 | Report Pages |
|---|---|---|---|---|
| A4 copy paper purchased, CO2 emissions | ton CO2 equivalent | 1267.12 | 56 | |
| Direct greenhouse gas emissions (Category I) (in ton) | ton | 7474.59 | 7118.49 | 55 |
| Greenhouse gas emissions per RMB hundred million income (in ton/RMB hundred million) | ton/RMB hundred million | 112.72 | 86.66 | 55 |
| Greenhouse gas emissions per capita | tons per capita | 2.85 | 7 | |
| Greenhouse gas emissions per square meter of floor area (in ton/square meter) | ton/square meter | 0.08 | 0.07 | 55 |
| Indirect greenhouse gas emissions (Category II) (in ton) | ton | 178356.63 | 155445.73 | 55 |
| Paper statements issued, CO2 emissions | ton CO2 equivalent | 32.31 | 56 | |
| Per capita greenhouse gas emissions (in ton/person) | ton/person | 3.29 | 2.85 | 55 |
| Total greenhouse gas emissions | tons | 162600 | 7 | |
| Total greenhouse gas emissions (Category I and Category II) (in ton) | ton | 185831.22 | 162564.21 | 55 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Per capita hazardous wastes (in ton/person) | ton/person | 0.0062 | 0.0054 | 55 |
| Total hazardous wastes (in ton) | ton | 348.57 | 307.11 | 55 |
| Total hazardous wastes per RMB hundred million income (in ton/RMB hundred million) | ton/RMB hundred million | 0.21 | 0.16 | 55 |
| Total hazardous wastes per square meter of floor area (in ton/square meter) | ton/square meter | 0.00014 | 0.00014 | 55 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Paper statements issued (credit card) | statements | 387000000 | 56 | |
| Paper statements issued, equivalent paper | ton paper | 7709 | 56 | |
| Paper statements issued, number of paper statements | statements | 1690000 | 56 | |
| Per capita A4 copy paper purchased | packs | 9.29 | 56 | |
| Per capita harmless wastes (in ton/person) | ton/person | 0.023 | 0.022 | 55 |
| Total harmless wastes (in ton) | ton | 1279.09 | 1239.14 | 55 |
| Total harmless wastes per RMB hundred million income (in ton/RMB hundred million) | ton/RMB hundred million | 0.78 | 0.66 | 55 |
| Total harmless wastes per square meter of floor area (in ton/square meter) | ton/square meter | 0.0005 | 0.0006 | 55 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Paper statements issued, decrease | statements | 385000000 | 56 |
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 | Report Pages |
|---|---|---|---|---|
| Diesel for facilities | MWh | 62.56 | 137.42 | 56 |
| Diesel for facilities (in ton) | ton | 36.13 | 16.45 | 55 |
| Direct energy consumption | MWh | 32249.87 | 33510.09 | 56 |
| Energy consumption per RMB hundred million income | MWh/RMB100 million | 147.78 | 176.54 | 56 |
| Energy consumption per square meter of floor area (in MWh/square meter) | MWh/square meter | 0.12 | 0.12 | 55 |
| Fuel consumption of official vehicles | MWh, million liters | 16251.99 | 18314.3 | 54, 56 |
| Fuel consumption of official vehicles (in ton) | ton | 4483.29 | 3978.44 | 55 |
| Gas | MWh | 279.96 | 377.5 | 56 |
| Gas (in ton) | ton | 50.74 | 37.63 | 55 |
| Indirect energy consumption | MWh | 244955.36 | 257528.57 | 56 |
| Liquefied petroleum gas | MWh | 942.81 | 1285.9 | 56 |
| Liquefied petroleum gas (in ton) | ton | 285.23 | 209.13 | 55 |
| Loan balance of green credit | RMB hundred million | 629.37 | 651.48 | 14 |
| Natural gas | MWh | 14712.55 | 13394.97 | 56 |
| Natural gas (in ton) | ton | 2619.2 | 2876.84 | 55 |
| Per capita energy consumption (in MWh/person) | MWh/person | 5.16 | 4.86 | 55 |
| Purchased electricity | MWh | 244955.36 | 257528.57 | 14, 54, 56 |
| Purchased electricity (in ton) | ton | 178356.63 | 155445.73 | 55 |
| Total energy consumption (in MWh) | MWh | 291038.66 | 277205.23 | 55 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Per capita tap water consumption | ton/person | 39.06 | 42.92 | 56 |
| Tap water consumption | ton | 2203528.41 | 2448094.84 | 56 |
| Tap water consumption per RMB hundred million income | ton/RMB hundred million | 1336.65 | 1305.07 | 56 |
| Tap water consumption per square meter of floor area | ton/square meter | 0.91 | 1.09 | 56 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Substitution rate of transactions by e-banking | % | 99.37 | 10 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| A4 copy paper purchased | packs | 530200 | 56 | |
| Total packing materials used by finished products | ton | 240.26 | 215.31 | 56 |
| Total packing materials used by finished products per RMB hundred million income | ton/RMB hundred million | 0.15 | 0.11 | 56 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Share in corporate loans to lead and zinc smelting industry (high pollution, high energy consumption and overcapacity) | % | 0.02 | 0.02 | 51 |
| Share in corporate loans to steel industry (high pollution, high energy consumption and overcapacity) | % | 1.34 | 1.16 | 51 |
| Share in corporate loans to thermal power generation industry (high pollution, high energy consumption and overcapacity) | % | 0.63 | 0.61 | 51 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Average other leave days per employee | days | 3.91 | 68 | |
| Average other leave days per employee decrease | days | -0.18 | 68 | |
| Average overtime hours decrease | hours | -2.62 | 68 | |
| Average overtime hours per employee | hours | 36.37 | 68 | |
| Bachelors | 38727 | 38911 | 66 | |
| Basic-level employees | 46753 | 47369 | 66 | |
| Below junior college | 328 | 273 | 66 | |
| Branch managerial employees | 5867 | 5825 | 66 | |
| Change in proportion of employees in western regions from previous year | percentage point | -0.12 | 10 | |
| Dispatched employees (year-end) | 1575 | 66 | ||
| Employees aged 30 and below | 20957 | 18739 | 66 | |
| Employees aged 60 and above | 3 | 66 | ||
| Employees aged between 31 and 40 | 22963 | 25162 | 66 | |
| Employees aged between 41 and 50 | 7378 | 7737 | 66 | |
| Employees aged between 51 and 59 | 1799 | 2065 | 66 | |
| Employees dispatched to the Bank or hired with letters of engagement | 3144 | 1577 | 66 | |
| Employees in the western region, share of total | % | 13.56 | 40 | |
| Employees under labor contract with the Bank | 49956 | 52126 | 66 | |
| Ethnic-minority employees | 2434 | 2512 | 66 | |
| Female employees | 28374 | 28865 | 66 | |
| Foreign staff (overseas subsidiaries, year-end) | 673 | 66 | ||
| Foreign staff at CNCB (Hong Kong) Investment Limited (overseas subsidiaries, year-end) | 1 | 66 | ||
| Foreign staff at China CITIC Bank International Limited (overseas subsidiaries, year-end) | 113 | 66 | ||
| Foreign staff at London Branch (overseas subsidiaries, year-end) | 11 | 66 | ||
| Head Office managerial employees | 480 | 509 | 66 | |
| Junior college graduates | 3255 | 2591 | 66 | |
| Male employees | 24726 | 24838 | 66 | |
| Masters | 10603 | 11725 | 66 | |
| Number of Bank employees with labor contract | employees | 52126 | 65 | |
| Number of employees at CITIC Financial Leasing Co., Ltd. | employees | 93 | 65 | |
| Number of employees at CITIC International Financial Holdings Limited | employees | 2286 | 65 | |
| Number of employees at CNCB (Hong Kong) Investment Co., Ltd. | employees | 908 | 65 | |
| Number of employees at Zhejiang Lin’an CITIC Rural Bank Limited | employees | 55 | 65 | |
| Number of employees in the western region | 7281 | 40 | ||
| Number of employees in western regions | 7281 | 10 | ||
| Overtime hours decrease | -5.68% | 68 | ||
| Percentage of Bank employees with labor contract | % | 97.06 | 65 | |
| PhDs | 187 | 203 | 66 | |
| Proportion of employees in western regions | % | 13.56 | 10 | |
| Total annual leave days entitled | days | 460900 | 68 | |
| Total annual leave days taken by employees | days | 290800 | 68 | |
| Total assets | RMB hundred million | 60667.14 | 67504.33 | 14 |
| Total employees | person | 53100 | 53703 | 14, 66 |
| Total number of Bank employees | employees | 53703 | 65 | |
| Total number of Group employees | employees | 57045 | 65 | |
| Total number of employees in Bank subsidiaries | employees | 3342 | 65 | |
| Year-on-year increase in Bank employees | % | 1.14 | 65 | |
| Year-on-year increase in Bank employees with labor contract | % | 4.34 | 65 | |
| Year-on-year increase in Bank subsidiaries employees | % | 0.81 | 65 | |
| Year-on-year increase in Group employees | % | 1.12 | 65 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Percentage of annual leave taken out of entitled | 63.10% | 68 | |
| Total other leave days (marital, personal, sick, funeral) | days | 223300 | 68 |
| Total overtime hours (including after work, weekends, holidays) | hours | 2074800 | 68 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of work-related deaths | 1 | 68 | |
| Number of work-related injuries (sports, workplace, commutes, business trips) | 51 | 68 | |
| Number of work-related injury cases decrease compared to previous year | -5 | 68 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Total days off work due to work-related injuries | days | 2059 | 68 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Decrease in health checkups compared to previous year | -0.98% | 68 | |
| Number of person-times voluntarily taken health checkups (Bank) | person-times | 50700 | 68 |
| Number of person-times voluntarily taken health checkups (Group) | person-times | 51000 | 68 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Increase in employee professional skills and qualities investment | percent | 47.74 | 7 | |
| Investment in employee professional skills and qualities | RMB | 160449900 | 7 | |
| Total number of participants (in person-time) | 603093 | 696866 | 70 | |
| Total training cost | RMB thousand | 10860.2 | 16044.99 | 70 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Times of training per employee (in times) | 11.36 | 12.98 | 70 | |
| Training cost per capita | RMB | 2045.23 | 2987.73 | 70 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Balance of green loans | million RMB | 65148 | 50 | |
| Balance of loans granted by the Bank to the central region | billion RMB | 534.866 | 40 | |
| Balance of loans granted by the Bank to the central region, percentage increase | % | 15.5 | 40 | |
| Balance of loans granted by the Bank to the central region, share of total | % | 14.17 | 40 | |
| Balance of loans granted by the Bank to the eastern region | billion RMB | 2664.755 | 40 | |
| Balance of loans granted by the Bank to the eastern region, percentage increase | % | 11.89 | 40 | |
| Balance of loans granted by the Bank to the eastern region, share of total | % | 70.6 | 40 | |
| Balance of loans granted by the Bank to the northeast region | billion RMB | 899.153 | 40 | |
| Balance of loans granted by the Bank to the northeast region, percentage change | % | -2.54 | 40 | |
| Balance of loans granted by the Bank to the northeast region, share of total | % | 2.63 | 40 | |
| Balance of loans granted by the Bank to the western region | billion RMB | 473.273 | 40 | |
| Balance of loans granted by the Bank to the western region, percentage increase | % | 9.26 | 40 | |
| Balance of loans granted by the Bank to the western region, share of total | % | 12.54 | 40 | |
| Balance of loans to western regions | RMB billion | 473.273 | 10 | |
| Increase in balance of loans to western regions | % | 9.26 | 10 | |
| Number of outlets in the western region | 254 | 40 | ||
| Number of outlets in western regions | 254 | 10 | ||
| Number of self-service machines deployed | 1152 | 40 | ||
| Outlets | number | 1410 | 1401 | 14 |
| Total loan balance to high pollution, high energy consumption and overcapacity industries | RMB hundred million | 437.7 | 465.3 | 51 |
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 |
|---|---|---|---|
| Number of economic responsibility audits implemented | 145 | 10 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Share in corporate loans to aluminum smelting industry (high pollution, high energy consumption and overcapacity) | % | 0.48 | 0.57 | 51 |
| Share in corporate loans to cement industry (high pollution, high energy consumption and overcapacity) | % | 0.11 | 0.18 | 51 |
| Share in corporate loans to coke industry (high pollution, high energy consumption and overcapacity) | % | 0.03 | 51 | |
| Share in corporate loans to copper smelting industry (high pollution, high energy consumption and overcapacity) | % | 0.03 | 0.06 | 51 |
| Total share in corporate loans to high pollution, high energy consumption and overcapacity industries | % | 2.61 | 2.62 | 51 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Transaction amount of mobile banking | RMB billion | 8721.228 | 10 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Amount of corporate online banking transactions | RMB hundred million | 784195.42 | 646990.31 | 52 |
| Counter-to-e-banking transaction substitution rate | % | 99.03 | 99.37 | 14 |
| Customer complaint rate | ten thousand | 2.12 | 7 | |
| Increase in precision poverty alleviation loans to entities | % | 39.02 | 10 | |
| Increase in precision poverty alleviation loans to individuals | % | 28.92 | 10 | |
| Increase in transaction amount of mobile banking | % | 38.66 | 10 | |
| Number of corporate online banking transactions | thousands | 7556.79 | 9721.17 | 52 |
| Number of personal mobile banking customers | ten thousand accounts | 3669.97 | 4582.87 | 52 |
| Proportion of loans to western regions | % | 12.54 | 10 | |
| Self-service machines, share of total | % | 18.45 | 40 | |
| Self-service terminals | number | 7053 | 6243 | 14 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of processes refined | 5 | 10 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Amount of personal mobile banking transactions | RMB hundred million | 62897.23 | 87212.28 | 52 |
| Amount of personal online banking transactions | RMB hundred million | 111310.65 | 88062.6 | 52 |
| Number of personal online banking customers | ten thousand person | 3804.89 | 4704.38 | 52 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of audit reports issued | 7 | 10 | |
| Number of audit tips issued | 15 | 10 | |
| Number of compliance reviews completed | 4708 | 10 | |
| Number of mechanisms revised or added | 86 | 10 | |
| Number of normative notice documents issued | 31 | 10 | |
| Number of systems improved | 15 | 10 | |
| Total investment recovered through audits | person-days | 21976 | 10 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Beneficiaries of poverty alleviation | people | 40000 | 7 | |
| Children with congenital diseases lifted out of poverty | children | 229 | 7 | |
| College students lifted out of poverty | students | 1002 | 7 | |
| Employees stationed in villages for poverty alleviation | employees | 67 | 7 | |
| Households lifted out of poverty | households | 1888 | 7 | |
| Impoverished households benefited | ten thousand households | 1.45 | 7 | |
| Loan balance of small and micro enterprises | RMB hundred million | 1363.53 | 2042.55 | 14 |
| People from households lifted out of poverty | people | 6099 | 7 | |
| Precision poverty alleviation loans to entities | RMB billion | 5.358 | 10 | |
| Precision poverty alleviation loans to individuals | RMB billion | 2.16 | 10 | |
| Primary and secondary school students lifted out of poverty | students | 9288 | 7 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Change in substitution rate of transactions by e-banking from previous year | percentage point | 0.34 | 10 | |
| Donated poverty alleviation funds | million RMB | 24.2687 | 7 | |
| Donations made by employees in their own names | million RMB | 1.1828 | 7 | |
| Increase in donated poverty alleviation funds | percent | 25.81 | 7 | |
| Increase in social contribution per share | percent | 6 | 7 | |
| Nanchang Branch, balance of loan for sponge city project | billion RMB | 0.47 | 40 | |
| Nanchang Branch, credit facility guaranteed for sponge city project | billion RMB | 1.3 | 40 | |
| Reduced service value for personal RMB accounts | billion RMB | 2.813 | 7 | |
| Social contribution per share (Shanghai Stock Exchange statistical scope) | RMB | 4.96 | 7 | |
| Total donations | RMB ten thousand | 2626.74 | 3165.86 | 14 |
| Total donations for poverty alleviation, student grant, disaster relief and financial aid | million RMB | 31.6586 | 7 | |
| Value of social contribution per share | RMB | 4.68 | 4.96 | 14 |
| Voluntary activities | number | 207 | 253 | 14 |
| Waived transactions of service charges for personal RMB accounts | million transactions | 6.8889 | 7 | |
| Yinchuan Branch, financial support provided to company | billion RMB | 3 | 40 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| NOâ‚“ Emissions | tons | 1.05 | 0.73 |
| SOâ‚“ Emissions | tons | 0.03 | 0.03 |
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 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | ton | 7474.59 | 7118.49 |
| Indirect Energy Emissions (Scope 2) | ton | 178356.63 | 155445.73 |
| Total GHG Emissions | ton | 185831.22 | 162600 |
| Total GHG Emissions Intensity (By Area) | ton/square meter | 0.08 | 0.07 |
| Total GHG Emissions Intensity (By Employee) | ton/person | 3.29 | 2.85 |
| Total GHG Emissions Intensity (By Revenue) | ton/RMB hundred million | 112.72 | 86.66 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Total Hazardous Waste | ton | 348.57 | 307.11 |
| Total Hazardous Waste Intensity (By Area) | ton/square meter | 0.00014 | 0.00014 |
| Total Hazardous Waste Intensity (By Employee) | ton/person | 0.0062 | 0.0054 |
| Total Hazardous Waste Intensity (By Revenue) | ton/RMB hundred million | 0.21 | 0.16 |
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 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | ton | 1279.09 | 1239.14 |
| Paper Waste | ton | 7709 | |
| Total Non-Hazardous Waste Intensity (By Area) | ton/square meter | 0.0005 | 0.0006 |
| Total Non-Hazardous Waste Intensity (By Employee) | ton/person | 0.023 | 0.022 |
| Total Non-Hazardous Waste Intensity (By Revenue) | ton/RMB hundred million | 0.78 | 0.66 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| NOx Emissions Reduction Compared to Last Year | tons |
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 |
|---|---|---|---|
| Diesel Fuel Consumption | MWh | 62.56 | 137.42 |
| Energy Consumption Intensity (By Area) | MWh/square meter | 0.12 | 0.12 |
| Energy Consumption Intensity (By Employee) | MWh/person | 5.16 | 4.86 |
| Energy Consumption Intensity (By Revenue) | MWh/RMB100 million | 147.78 | 176.54 |
| LPG Consumption | MWh | 942.81 | 1285.9 |
| Natural Gas Consumption | MWh | 14712.55 | 13394.97 |
| Purchased Electricity | MWh | 244955.36 | 257528.57 |
| Total Direct Energy Consumption | MWh | 32249.87 | 33510.09 |
| Total Energy Consumption | MWh | 291038.66 | 277205.23 |
| Total Indirect Energy Consumption | MWh | 244955.36 | 257528.57 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Water Consumption | ton | 2203528.41 | 2448094.84 |
| Water Consumption Intensity (By Revenue) | ton/RMB hundred million | 1336.65 | 1305.07 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Packaging Material Intensity (By Revenue) | ton/RMB hundred million | 0.15 | 0.11 |
| Packaging Materials Consumed | ton | 240.26 | 215.31 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Bachelor's Degree Employees | person | 38727 | 38911 |
| Number of Below Junior College Employees | person | 328 | 273 |
| Number of Employees Aged 30-50 | person | 22963 | 32962 |
| Number of Employees Aged Above 50 | person | 9177 | 2065 |
| Number of Employees Aged Below 30 | person | 20957 | 18739 |
| Number of Employees in West China | person | 7281 | |
| Number of Female Employees | person | 28374 | 28865 |
| Number of Male Employees | person | 24726 | 24838 |
| Number of Master's Degree Employees | person | 10603 | 11725 |
| Number of Total Employees | person | 53100 | 53703 |
| Percentage of Bachelor's Degree Employees | % | 72.44 | |
| Percentage of Below Junior College Employees | % | 0.51 | |
| Percentage of Employees Aged 30-50 | % | 61.38 | |
| Percentage of Employees Aged Above 50 | % | 3.85 | |
| Percentage of Employees Aged Below 30 | % | 34.89 | |
| Percentage of Employees in West China | % | 13.56 | |
| Percentage of Female Employees | % | 53.75 | |
| Percentage of Male Employees | % | 46.25 | |
| Percentage of Master's Degree Employees | % | 21.83 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | 1 | |
| Number of Work-related Fatalities | 1 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 2059 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Health Check Coverage for Employees | person-times | 51000 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Cost of Training | RMB | 160449900 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Average Training Hours per Employee | hours | 11.36 | 12.98 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Critical Suppliers Covered by CSR Audit | count | 145 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Number of Customer Complaints | ten thousand | 2.12 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Investment in Targeted Poverty Alleviation | million RMB | 24.2687 | |
| Total Public Welfare Donations | RMB ten thousand | 2626.74 | 3165.86 |
| Total Social Investment | million RMB | 31.6586 |