2019 Corporate Social Responsibility Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Greenhouse gas emissions (tons of CO2 equivalent) | tons of CO2 equivalent | 35556.37 | 42 |
| Greenhouse gas emissions per RMB10000 of revenue (kg) | kg per RMB10000 of revenue | 2.49 | 42 |
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 |
|---|---|---|---|---|
| Kitchen garbage (tons) | tons | 1333.87 | 1543.53 | 42 |
| Office rubbish (tons) | tons | 856.21 | 328.06 | 42 |
| Waste ink box (pieces) | pieces | 12515 | 14545 | 42 |
| Waste toner cartridges (pieces) | pieces | 14113 | 17066 | 42 |
| Waste tube (pieces) | pieces | 9956 | 9235 | 42 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Risk prevention worth for apple tree flowering period frostbite insurance in Yan'an, Shaanxi Province | RMB | 125000 | 36 |
| Risk taken by CARP through reinsurance scheme in pilot work | billion RMB | 2.46 | 76 |
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 |
|---|---|---|---|---|
| Comprehensive energy consumption (kg of standard coal) | kg of standard coal | 8438969.8 | 42 | |
| Comprehensive energy consumption per RMB10000 of revenue (kg of standard coal) | kg of standard coal per RMB10000 of revenue | 0.59 | 42 | |
| Electricity consumption (kWh) | kWh | 35528139.75 | 31561921.42 | 42 |
| Electricity consumption reduction of heating unit | kWh | 7500 | 41 | |
| Electricity consumption reduction of water chillers | kWh | 22000 | 41 | |
| Gas consumption (m³) | m³ | 148412 | 304282.5 | 42 |
| Gasoline consumption (liters) | l | 6291499.06 | 3895247.72 | 42 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Water consumption (tons) | tons | 307513.69 | 319933.61 | 42 |
| Water consumption per RMB10000 of revenue (kg) | kg per RMB10000 of revenue | 22.43 | 42 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Electricity bill savings for MAU unit on first floor | electricity bills | 30% | 41 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Cooling tower water consumption reduction | m3 | 5683 | 41 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Office paper consumption (kg) | kg | 7530.73 | 42 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of regions provided with levee safety protection in Fujian Province | 8 | 36 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Heavy rainfall catastrophe index insurance risk protection for Wuhan | million RMB | 250 | 34 |
| Pilot area for apple tree flowering period frostbite insurance in Yan'an, Shaanxi Province | acres | 20.6 | 36 |
| Pilot area for grassland insurance in Gonghe County, Hainan Prefecture, Qinghai Province | hectares | 10000 | 36 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Annual growth rate of technology investment and information technology personnel team | percent | 30 | 63 |
| Board of directors meetings convened | 8 | 46 | |
| Employee percentage by age - Age 35 to 50 | percent | 28% | 68 |
| Employee percentage by age - Over Age 50 | percent | 3% | 68 |
| Employee percentage by age - Under Age 35 | percent | 69% | 68 |
| Employee percentage by gender - Female | percent | 46% | 68 |
| Employee percentage by gender - Male | percent | 54% | 68 |
| IT talent team increase | percent | 15 | 63 |
| Number of contract employees | employees | 54656 | 68 |
| Number of employees under labor service agreements | employees | 550 | 68 |
| Number of workers dispatched by labor dispatching company | employees | 10969 | 68 |
| Total assets | million RMB | 396638 | 6, 46 |
| Total compensation paid under anti-return to poverty insurance | million RMB | 5116 | 28 |
| Total number of employees | employees | 66175 | 68 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Percentage of trained employees, Female | % | 86.3 | 70 |
| Percentage of trained employees, Male | % | 89.7 | 70 |
| Percentage of trained employees, Middle management | % | 96.1 | 70 |
| Percentage of trained employees, Senior management | % | 100 | 70 |
| Percentage of trained employees, Staff | % | 87.8 | 70 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average employee training hours, Female | hours | 29 | 70 |
| Average employee training hours, Male | hours | 27.4 | 70 |
| Average employee training hours, Middle management | hours | 88.2 | 70 |
| Average employee training hours, Senior management | hours | 118.5 | 70 |
| Average employee training hours, Staff | hours | 27.8 | 70 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of domestic strategic cooperation agreements signed | 38 | 78 | |
| Number of listing-related temporary announcements disclosed | 70 | 48 | |
| Overall risk coverage for grassland insurance in Gonghe County, Hainan Prefecture, Qinghai Province | RMB | 30000000 | 36 |
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 clean-up contracts signed by Huatai Insurance Agency maritime department | contracts | 2402 | 55 |
| Number of clean-up customers handled by Huatai Insurance Agency maritime department | customers | 186 | 55 |
| Number of overseas strategic cooperation MOUs signed | 31 | 78 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Assumed project risk for agricultural product projects | 40% | 76 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of corporate customers visited and inspected by CCIC for Typhoon Lekima response | corporate customers | 548 | 56 |
| Number of subprojects implemented in online, digital and intelligent capability enhancement project | 33 | 63 | |
| Reduction in total bill settlement time due to business + data dual middle office platform | percent | 13.3 | 63 |
| Stretched noodle loans being approved | million RMB | 15.5 | 29 |
| Stretched noodle loans issued | million RMB | 2.1 | 29 |
| Time window for trust claim product for National College Entrance Examination accident | o'clock | 8 to 18 | 58 |
| Trust claim limit for National College Entrance Examination accident | RMB | 1000 | 58 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of software copyrights acquired | 74 | 63 |
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 | 2017–2019 | 2019 | Report Pages |
|---|---|---|---|---|
| Payment of final dividend | million RMB | 1869 | 46 | |
| Standard & Poors Global Ratings | "A" | 6 | ||
| Weighted average return on equity | % | 7.32 | 46 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Board of supervisors meetings convened | 4 | 46 | |
| Number of domestic regulatory announcements disclosed | 50 | 48 | |
| Risk coverage provided by China Security Insurance Pool (CSIP) | RMB | 500000000000 | 78 |
| Risk coverage provided for agricultural product projects | million RMB | 30 | 76 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of cities with local disaster people's livelihood projects engaged by China Continent Insurance Shandong Branch | cities | 9 | 56 |
| Number of claims personnel involved in Typhoon Lekima response in Zhejiang Province | people | 255 | 56 |
| Number of democratic party members in 'Convoying You' volunteer team | democratic party member | 1 | 58 |
| Number of employees and their families receiving warmth-offering activities support | 330 | 71 | |
| Number of groups formed to convey greetings and offer assistance in Minkang Community | groups | 2 | 58 |
| Number of households assisted in Minkang Community | households | 6 | 58 |
| Number of party members in 'Convoying You' volunteer team | party members | 9 | 58 |
| Number of scientific and technological invention patent applications successfully accepted | 4 | 63 | |
| Number of staff teams added to 95590 line for Typhoon Lekima response | teams | 23 | 56 |
| Number of stretched noodle operating companies benefited | 43 | 29 | |
| Number of survey cars dispatched by CCIC for Typhoon Lekima response | survey cars | 175 | 56 |
| Number of working groups established by China Continent Insurance Zhejiang Branch for Typhoon Lekima response | working groups | 60 | 56 |
| Share of total pilot risk taken by CARP through reinsurance scheme | 21.4% | 76 | |
| Shareholders' general meetings convened | 3 | 46 | |
| Wheat, corn and rice underwritten in pilot work of full-cost insurance and income insurance | million mu | 12.67 | 76 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Anti-return to poverty insurance compensation delivered to affected household in Yaga Village, Xunhua County | RMB | 71000 | 28 |
| Compensation rate for anti-return to poverty insurance | % | 73.5 | 28 |
| Expected premium for grassland insurance in Gonghe County, Hainan Prefecture, Qinghai Province | million RMB | 22.22 | 36 |
| Insurance coverage for farmers in pilot work of full-cost insurance and income insurance | billion RMB | 1.5 | 76 |
| Number of Xunhua personnel in stretched noodle industry included in anti-return to poverty insurance service | people | 30000 | 28 |
| Number of compensation sums paid under anti-return to poverty insurance | sums | 2188 | 28 |
| Number of people in Xunhua County covered by anti-return to poverty insurance | people | 70000 | 28 |
| Number of reminding, pre-warning and we-chat messages sent by CCIC for Typhoon Lekima response | messages | 2100000 | 56 |
| Number of rescue cars dispatched by CCIC for Typhoon Lekima response | rescue cars | 125 | 56 |
| Number of schools targeted for sports facility funding by China Continent Insurance | schools | 50 | 58 |
| Number of service days for 95590 line during Typhoon Lekima response | days | 24 | 56 |
| Number of volunteers in 'Convoying You' team delivering service to poor party members and vulnerable groups in Minkang Community | volunteers | 11 | 58 |
| Poverty alleviation through consumption - agricultural products purchased by China Re employees | million RMB | 1.1387 | 30 |
| Poverty alleviation through consumption - agricultural products purchased from poverty-stricken areas by China Re | million RMB | 2.529 | 30 |
| Poverty alleviation through consumption - total agricultural products purchased | million RMB | 3.916 | 30 |
| Total donations for Hope Project Happy Sports Fund | million RMB | 1 | 58 |
| Total insurance coverage for anti-return to poverty insurance | billion RMB | 10 | 28 |
| Total volunteer hours spent by 'Convoying You' team on senior citizens, poverty alleviation, and community maintenance | hours | 75.5 | 58 |
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 | 2019 |
|---|---|---|
| Total GHG Emissions | tons of CO2 equivalent | 35556.37 |
| Total GHG Emissions Intensity (By Revenue) | kg per RMB10000 of revenue | 2.49 |
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 (Kitchen Waste) | tons | 1333.87 | 1543.53 |
| Non-Hazardous Waste (Office Waste) | tons | 856.21 | 328.06 |
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 |
|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | kg of standard coal per RMB10000 of revenue | 0.59 | |
| Gasoline Consumption | l | 6291499.06 | 3895247.72 |
| Grid Electricity Consumption | kWh | 35528139.75 | 31561921.42 |
| Natural Gas Consumption | m³ | 148412 | 304282.5 |
| Purchased Electricity | kWh | 35528139.75 | 31561921.42 |
| Total Energy Consumption | kg of standard coal | 8438969.8 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Water Consumption | tons | 307513.69 | 319933.61 |
| Water Consumption Intensity (By Revenue) | kg per RMB10000 of revenue | 22.43 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | 30 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Water Consumption Reduction Compared to Last Year | m3 | 5683 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Packaging Material Consumption (Paper) | kg | 7530.73 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Climate Change Management | million RMB | 250 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Contractors | employees | 54656 |
| Number of Temporary Workers | employees | 11519 |
| Number of Total Employees | employees | 66175 |
| Percentage of Employees Aged 30-50 | percent | 28 |
| Percentage of Employees Aged Above 50 | percent | 3 |
| Percentage of Employees Aged Below 30 | percent | 69 |
| Percentage of Female Employees | percent | 46 |
| Percentage of Male Employees | percent | 54 |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | days |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Trained Female Employees | % | 86.3 |
| Percentage of Trained General Employees | % | 87.8 |
| Percentage of Trained Male Employees | % | 89.7 |
| Percentage of Trained Middle Management | % | 96.1 |
| Percentage of Trained Senior Management | % | 100 |
| Total Cost of Training | million RMB |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours (Female) | hours | 29 |
| Average Training Hours (General Staff) | hours | 27.8 |
| Average Training Hours (Male) | hours | 27.4 |
| Average Training Hours (Middle Management) | hours | 88.2 |
| Average Training Hours (Senior Management) | hours | 118.5 |
| Average Training Hours per Employee | hours | 69 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Total Suppliers |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit |
|---|---|
| Percentage of Recalled Products for Safety and Health Reasons |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Products and Service Related Complaints | 65 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Intellectual Property Rights Obtained by the Company | 74 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Concluded Corruption Lawsuits | 23 | |
| Number of Corruption Litigation | 23 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Education Donation | million RMB | 1 |
| Investment in Targeted Poverty Alleviation | million RMB | 9.2121 |
| Number of Volunteers among Employees | volunteers | 11 |
| Total Volunteer Service Hours | hours | 75.5 |