Environmental, Social and Governance Report 2018
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Carbon oxide (CO) | Tonne | N/A | 427.42 | 66 |
| Nitrogen oxides (NOx) | Tonne | 3.4 | 508.96 | 66 |
| PM10 | kg | N/A | 0.002 | 66 |
| PM2.5 | kg | N/A | 0.002 | 66 |
| Sulfur oxides (SOx) | Tonne | 0.02 | 3.17 | 66 |
| TPM | Tonne | N/A | 38.98 | 66 |
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 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Direct GHG emission (Scope 1) | Tonne CO2 eq | 4613.28 | 19163.66 | 66 |
| Indirect GHG emission (Scope 2) | Tonne CO2 eq | 259516.93 | 275028.43 | 66 |
| Reduced GHG emissions by owned trees | Tonne CO2 eq | 27.16 | 189.29 | 66 |
| Total GHG emissions | Tonne CO2 eq | 264103.05 | 294103.81 | 66 |
| Total GHG emissions (Scope 1 & Scope 2) per income from property rental, development and management services | Tonne CO2 eq per thousand RMB | 0.12 | 0.1 | 66 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Amount of produced hazardous waste per income in thousand RMB from property rental, development and management services | kg | 0.001 | 0.0013 | 67 |
| Total produced amount of hazardous wastes | kg | 2282.44 | 3830.58 | 67 |
| Used cartridge | kg | 216.45 | 982.8 | 67 |
| Waste battery | kg | 32.06 | 294.22 | 67 |
| Waste lamp containing mercury | kg | 1182.33 | 1427.09 | 67 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Amount of produced non-hazardous waste per income in thousand RMB from property rental, development and management services | kg | 36.81 | 18.28 | 67 |
| Electronic waste | kg | 851.6 | 1126.47 | 67 |
| General waste | kg | 67550774 | 47970366.26 | 67 |
| Kitchen waste | kg | 16779482 | 5512633.6 | 67 |
| Total amount of produced non-hazardous wastes | kg | 84330256 | 53482999.86 | 67 |
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 | Report Pages |
|---|---|---|---|---|
| Diesel | MWh | N/A | 31.67 | 68 |
| Energy consumption amount per income in thousand RMB from property rental, development and management services | MWh | 0.1572 | 0.1568 | 68 |
| Gasoline | MWh | N/A | 398.8 | 68 |
| Gross Floor Area (GFA) of certified green building for developed projects | million square meters | 2.244 | 16 | |
| Natural gas | MWh | N/A | 66454.75 | 68 |
| Purchased electricity | MWh | 360118.47 | 391931.22 | 68 |
| Total energy consumption | MWh | 360118.47 | 458866.43 | 68 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Non-conventional water utilization rate for B-1 Area in Phase II of Wuxi Yuqi Powerlong Riverside Garden | % | 2.91 | 23 | |
| Proportion of municipal water | % | 100 | 100 | 68 |
| Total GFA of investment properties (mainly shopping malls) | square meters | 4817380 | 11 | |
| Total amount of discharged wastewater | Tonne | 5160246.17 | 4589753.28 | 67 |
| Total water consumption | m³ | 5733606.85 | 5099725.87 | 68 |
| Water consumption amount per income in thousand RMB from property rental, development and management services | m³ | 2.5 | 1.74 | 68 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Building energy efficiency rate in design for B-1 Area in Phase II of Wuxi Yuqi Powerlong Riverside Garden | % | 65 | 23 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| 2-Star Green Building Certificate obtained for B-1 Area in Phase II of Wuxi Yuqi Powerlong Riverside Garden | Green Building Label | 2-Star | 23 |
| 2018 TOP 10 China Listed Real Estate Developers Green Credit Index | TOP 10 | 13 | |
| Certified green building gross floor area (GFA) | million square meters | 2.244 | 6 |
| Renewable building material use ratio for B-1 Area in Phase II of Wuxi Yuqi Powerlong Riverside Garden | % | 6.16 | 23 |
| Residential greenery rate for B-1 Area in Phase II of Wuxi Yuqi Powerlong Riverside Garden | % | 35.05 | 23 |
| TOP 30 of Green Real Estate Corporation (Residential) and TOP 10 in Operation of Green Real Estate Corporation in China of Year 2018 | TOP 30, TOP 10 | 13 | |
| Total construction area of land reserve | million square meters | 21.2 | 11 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Debt asset ratio | % | 69.13 | 75.16 | 65 |
| Ratio of salary between female and male employees, General employees | 1 | 1 | 72 | |
| Ratio of salary between female and male employees, Management level | 1 | 1 | 72 | |
| TOP 10 Brand New Hotels in China | TOP 10 | 13 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Operating profit (RMB'000) | RMB'000 | 8002886 | 12 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Number of employees receiving training related to career development, Female | N/A | 3117 | 72 | |
| Number of employees receiving training related to career development, General employees | N/A | 7844 | 72 | |
| Number of employees receiving training related to career development, Male | N/A | 5507 | 72 | |
| Number of employees receiving training related to career development, Middle level | N/A | 589 | 72 | |
| Number of employees receiving training related to career development, Senior level | N/A | 191 | 72 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of hours per person trained for employee career development at the headquarters of the Group - Female | Hour | 31.61 | 73 |
| Number of hours per person trained for employee career development at the headquarters of the Group - General employees | Hour | 32.97 | 73 |
| Number of hours per person trained for employee career development at the headquarters of the Group - Male | Hour | 33.33 | 73 |
| Number of hours per person trained for employee career development at the headquarters of the Group - Middle level | Hour | 28.77 | 73 |
| Number of hours per person trained for employee career development at the headquarters of the Group - Senior level | Hour | 34.09 | 73 |
| Number of hours per person trained for employee career development in hotels - Female | Hour | 46.04 | 73 |
| Number of hours per person trained for employee career development in hotels - General employees | Hour | 24.52 | 73 |
| Number of hours per person trained for employee career development in hotels - Male | Hour | 65.08 | 73 |
| Number of hours per person trained for employee career development in hotels - Middle level | Hour | 36.46 | 73 |
| Number of hours per person trained for employee career development in hotels - Senior level | Hour | 50.4 | 73 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of asset-light projects managed | projects | 3 | 11 |
| Number of property development projects in Shanghai | projects | 16 | 11 |
| Number of property development projects in Yangtze River Delta | projects | 76 | 11 |
| Number of property development projects in Zhejiang | projects | 33 | 11 |
| Number of property development projects owned and operated | projects | 114 | 11 |
| Number of self-owned branded chain hotels owned and managed | hotels | 8 | 11 |
| Number of shopping malls operated and managed | 36 | 12 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| 2018 TOP 10 Brands of China Commercial Real Estate Companies in China | TOP 10 | 13 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Average customer satisfaction of the business sector | % | N/A | 96.55 | 65 |
| Average customer satisfaction of the hotel operation sector | % | N/A | 89.95 | 65 |
| Average customer satisfaction of the property management center | % | N/A | 80.85 | 65 |
| Contracted sales (RMB) | million RMB | 41036 | 12 | |
| Contracted sales area | m² | 2821607 | 12 | |
| Number of investor relations events attended | events | 17 | 16 | |
| Number of investors met at investor relations events | investors | 500 | 16 | |
| Number of valid materiality assessment questionnaires collected from Group's management and general employees | questionnaires | 698 | 18 | |
| Revenue (RMB'000) | RMB'000 | 19593790 | 12 | |
| TOP 50 of Real Estate Companies in China | TOP 50 | 13 | ||
| Year-on-year increase in rental income and property management services income | % | 24.7 | 6 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of international branded hotels owned and managed | hotels | 9 | 11 |
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 | Report Pages |
|---|---|---|---|
| Increase in total dividend compared with 2017 | % | 20 | 6 |
| Successfully issued 6.95% USD350 million senior notes due 2021 | million USD | 350 | 13 |
| Successfully issued HK$1.99 billion zero coupon convertible bonds due 2019 | billion HKD | 1.99 | 13 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Interim dividend per ordinary share (six months ended 30 June 2018) | cents HKD | 6.8 | 6 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Basic earnings per share | cents RMB | 71 | 6 |
| Distance completed in Gobi Road of Faith trip | kilometers | 88 | 53 |
| Number of senior executives at general manager level or above participating in Gobi Road of Faith trip | persons | 100 | 53 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Final dividend per ordinary share | cents HKD | 23.2 | 6 | ||
| Input amount for community or public charity | RMB'000 | 58778 | 239567 | 73 | |
| Number of teams assembled for Gobi Road of Faith trip | teams | 10 | 53 | ||
| Public welfare fund donated to Zhijin County, Guizhou Province | million RMB | 20 | 58 | ||
| Recorded rental income and property management services income | billion RMB | 2.2 | 6 | ||
| Revenue | billion RMB | 19.6 | 6 | ||
| Total dividend per ordinary share | cents (HK$), cents HKD | 30 | 6, 12 | ||
| Year-on-year revenue increase | % | 25.7 | 6 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| NOₓ Emissions | Tonne | 3.4 | 508.96 |
| PM10 Emissions | kg | 0.002 | |
| PM2.5 Emissions | kg | 0.002 | |
| SOₓ Emissions | Tonne | 0.02 | 3.17 |
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 | 2017 | 2018 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Tonne CO2 eq | 4613.28 | 19163.66 |
| GHG Removals from Newly Planted Trees | Tonne CO2 eq | 27.16 | 189.29 |
| Indirect Energy Emissions (Scope 2) | Tonne CO2 eq | 259516.93 | 275028.43 |
| Total GHG Emissions | Tonne CO2 eq | 264103.05 | 294103.81 |
| Total GHG Emissions Intensity (By Revenue) | Tonne CO2 eq per thousand RMB | 0.12 | 0.1 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Hazardous Waste (Used Batteries) | kg | 32.06 | 294.22 |
| Total Hazardous Waste | kg | 2282.44 | 3830.58 |
| Total Hazardous Waste Intensity (By Revenue) | kg | 0.001 | 0.0013 |
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 |
|---|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | kg | 67550774 | 47970366.26 |
| Non-Hazardous Waste (Electronic Waste) | kg | 851.6 | 1126.47 |
| Non-Hazardous Waste (Kitchen Waste) | kg | 16779482 | 5512633.6 |
| Total Non-Hazardous Waste Disposed | kg | 84330256 | 53482999.86 |
| Total Non-Hazardous Waste Intensity (By Revenue) | kg | 36.81 | 18.28 |
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 |
|---|---|---|---|
| Diesel Fuel Consumption | MWh | 31.67 | |
| Energy Consumption Intensity (By Revenue) | MWh | 0.1572 | 0.1568 |
| Gasoline Consumption | MWh | 398.8 | |
| Natural Gas Consumption | MWh | 66454.75 | |
| Purchased Electricity | MWh | 360118.47 | 391931.22 |
| Total Energy Consumption | MWh | 360118.47 | 458866.43 |
| Total Indirect Energy Consumption | MWh | 360118.47 | 391931.22 |
| Total Purchased Energy | MWh | 360118.47 | 391931.22 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Total Wastewater Discharge | tonne | 5160246.17 | 4589753.28 |
| Water Consumption | m³ | 5733606.85 | 5099725.87 |
| Water Consumption Intensity (By Revenue) | m³ per thousand RMB | 2.5 | 1.74 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | 65 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Ratio of salary between female and male employees, General employees | 1 | 1 | |
| Ratio of salary between female and male employees, Management level | 1 | 1 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Trained Female Employees | % | 0.36143320964749537 |
| Percentage of Trained General Employees | % | 0.9095547309833024 |
| Percentage of Trained Male Employees | % | 0.6385667903525046 |
| Percentage of Trained Middle Management | % | 0.06829777365491652 |
| Percentage of Trained Senior Management | % | 0.022147495361781077 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours (Female) | Hour | 46.04 |
| Average Training Hours (General Employees) | Hour | 24.52 |
| Average Training Hours (General Staff) | Hour | 32.97 |
| Average Training Hours (Male) | Hour | 65.08 |
| Average Training Hours (Middle Management) | Hour | 28.77 |
| Average Training Hours (Senior Management) | Hour | 50.4 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Total Public Welfare Donations | RMB | 20000000 | 587780000 | 2395670000 |
| Total Social Investment | RMB | 587780000 | 2395670000 |