2019 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Construction garbage emission | tonnes | 206046 | 7980 | 10056 | 57 |
| Domestic garbage emission | tonnes | 50858.7 | 1752 | 330.6 | 57 |
| NOx emission | 13.1 | 80.7 | 81.17 | 57 | |
| PM emission | 1.11 | 5.94 | 5.98 | 57 | |
| SOx emission | 0.28 | 2.54 | 2.65 | 57 | |
| Scrap cable emission | tonnes | 23.71 | 17.3 | 19.37 | 57 |
| Scrap steel emission | tonnes | 588.36 | 286.4 | 572 | 57 |
| Total emission of waste gas | kg | 14.49 | 89.18 | 89.8 | 57 |
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 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Emission of greenhouse gas per 10000 m² operating area of Portfolio Shopping Malls | tonnes/10000 m² | 600.22 | 541.79 | 555.1 | 57 |
| Greenhouse gas emissions intensity | tonnes/10000 m² | 600.22 | 541.79 | 555.1 | 50 |
| Red Star Macalline greenhouse gas emissions - Scope 1 | 11% | 50 | |||
| Red Star Macalline greenhouse gas emissions - Scope 2 | 89% | 50 | |||
| Total emission of direct greenhouse gas (scope 1) | tonnes | 43648.67 | 48141.03 | 47854.83 | 57 |
| Total emission of greenhouse gas (scope 1 & 2) (tonnes) | tonnes | 342480.31 | 374864.98 | 429475.65 | 57 |
| Total emission of indirect greenhouse gas (scope 2) | tonnes | 298831.64 | 326723.95 | 381620.82 | 57 |
| Total emission volume of greenhouse gas | tonnes | 342480.31 | 374864.97 | 429475.65 | 50 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Emission of hazardous and non-hazardous garbage per 10000 m² operating area of Portfolio Shopping Malls | tonnes/10000 m² | 451.31 | 14.52 | 14.24 | 57 |
| Glue hazardous garbage emission | tonnes | 0.53 | 5.7 | 26 | 57 |
| Oil paint hazardous garbage emission | tonnes | 0.89 | 1.8 | 17 | 57 |
| Total emission of hazardous and non-hazardous garbage | tonnes | 257518.19 | 10043.2 | 11020.97 | 57 |
| Total emission of hazardous garbage | tonnes | 1.42 | 7.5 | 43 | 57 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Emission of non-hazardous garbage per 10000 m² operating area of Portfolio Shopping Malls | tonnes/10000 m² | 451.31 | 14.5 | 14.19 | 57 |
| Total emission of non-hazardous garbage | tonnes | 257516.77 | 10035.7 | 10977.97 | 57 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Electricity | MWh | 423595.3 | 469349.34 | 546209.89 | 58 |
| Energy consumption intensity | MWh/10000 m² | 1116.51 | 1018.14 | 1008.03 | 50 |
| Energy consumption per 10000 m² operating area of Portfolio Shopping Malls | MWh/10000 m² | 1116.51 | 1018.14 | 1008.03 | 58 |
| Gasoline | MWh | 159.04 | 1614.21 | 1681.92 | 58 |
| Natural gas | MWh | 213323.94 | 233487.38 | 232004.67 | 58 |
| Total energy consumption | MWh | 637078.28 | 704450.93 | 779896.48 | 50, 58 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Fresh tap water | m³ | 2488038.92 | 3100374.98 | 3061849.23 | 58 |
| Total water consumption | m³ | 2488038.92 | 3100374.98 | 3061849.23 | 58 |
| Water consumption | cubic meters | 2488038.92 | 3100374.98 | 3061849.23 | 53 |
| Water consumption intensity | cubic meters/10000 m² | 4360.43 | 4480.96 | 3957.49 | 53 |
| Water consumption per 10000 m² operating area of Portfolio Shopping Malls | m³/10000 m² | 4360.43 | 4480.96 | 3957.49 | 58 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Amounts paid to staff | million RMB | 3735 | 7 | ||
| Number of employees by age group: Above 50 | 976 | 1195 | 1391 | 56 | |
| Number of employees by age group: Below 30 | 9815 | 11343 | 12259 | 56 | |
| Number of employees by age group: Between 30 to 50 | 11830 | 11801 | 13463 | 56 | |
| Number of employees by gender: Female | 8425 | 8956 | 10016 | 56 | |
| Number of employees by gender: Male | 14196 | 15383 | 17097 | 56 | |
| Number of employees by type: General employees | 18022 | 19202 | 24668 | 56 | |
| Number of employees by type: Middle management | 4095 | 4534 | 2143 | 56 | |
| Number of employees by type: Senior management | 504 | 603 | 302 | 56 | |
| Operating revenue | million RMB | 16469 | 7 | ||
| Total number of employees | 22621 | 24339 | 27113 | 56 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Percentage of employees trained | 100% | 100% | 100% | 56 | |
| Percentage of employees trained by gender: Female | 100% | 100% | 100% | 56 | |
| Percentage of employees trained by gender: Male | 100% | 100% | 100% | 56 | |
| Percentage of employees trained by type: General employees | 100% | 100% | 100% | 56 | |
| Percentage of employees trained by type: Middle management | 100% | 100% | 100% | 56 | |
| Percentage of employees trained by type: Senior management | 100% | 100% | 100% | 56 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Average hours of training completed per staff | hours/year | 219 | 224 | 240 | 56 |
| Average hours of training completed per staff by gender: Female | hours/year | 219 | 226 | 240 | 56 |
| Average hours of training completed per staff by gender: Male | hours/year | 219 | 224 | 240 | 56 |
| Average hours of training completed per staff by type: General employees | hours/year | 216 | 216 | 235 | 56 |
| Average hours of training completed per staff by type: Middle management | hours/year | 264 | 264 | 264 | 56 |
| Average hours of training completed per staff by type: Senior management | hours/year | 192 | 192 | 192 | 56 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Total tax paid | million RMB | 2141 | 7 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Community investments | ten thousand RMB | 576 | 7 | ||
| Operating cost | million RMB | 5736 | 7 | ||
| Social contributions per share | 3.6 | 7 | |||
| Social investment | RMB'0000 | 1085 | 1008 | 576 | 58 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | 1.11 | 5.94 | 5.98 | |
| NOₓ Emissions | 13.1 | 80.7 | 81.17 | |
| SOₓ Emissions | 0.28 | 2.54 | 2.65 |
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 | 2019 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes | 43648.67 | 48141.03 | 47854.83 |
| Indirect Energy Emissions (Scope 2) | tonnes | 298831.64 | 326723.95 | 381620.82 |
| Total GHG Emissions | tonnes | 342480.31 | 374864.98 | 429475.65 |
| Total GHG Emissions Intensity (By Area) | tonnes/10000 m² | 600.22 | 541.79 | 555.1 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Hazardous Waste | tonnes | 1.42 | 7.5 | 43 |
| Total Hazardous Waste Intensity (By Area) | tonnes/10000 m² | 451.31 | 14.52 | 14.24 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | tonnes | 257516.77 | 10035.7 | 10977.97 |
| Total Non-Hazardous Waste Intensity (By Area) | tonnes/10000 m² | 451.31 | 14.5 | 14.19 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Area) | MWh/10000 m² | 1116.51 | 1018.14 | 1008.03 |
| Gasoline Consumption | MWh | 159.04 | 1614.21 | 1681.92 |
| Natural Gas Consumption | MWh | 213323.94 | 233487.38 | 232004.67 |
| Purchased Electricity | MWh | 423595.3 | 469349.34 | 546209.89 |
| Total Energy Consumption | MWh | 637078.28 | 704450.93 | 779896.48 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Water Withdrawal | m³ | 2488038.92 | 3100374.98 | 3061849.23 |
| Water Consumption | m³ | 2488038.92 | 3100374.98 | 3061849.23 |
| Water Consumption Intensity (By Revenue) | m³/10000 m² | 4360.43 | 4480.96 | 3957.49 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | 11830 | 11801 | 13463 | |
| Number of Employees Aged Above 50 | 976 | 1195 | 1391 | |
| Number of Employees Aged Below 30 | 9815 | 11343 | 12259 | |
| Number of Female Employees | 8425 | 8956 | 10016 | |
| Number of General Employees | 18022 | 19202 | 24668 | |
| Number of Male Employees | 14196 | 15383 | 17097 | |
| Number of Middle Management Employees | 4095 | 4534 | 2143 | |
| Number of Senior Management Employees | 504 | 603 | 302 | |
| Number of Total Employees | 22621 | 24339 | 27113 | |
| Percentage of Employees Aged 30-50 | % | 52.29 | 48.48 | 49.66 |
| Percentage of Employees Aged Above 50 | % | 4.31 | 4.91 | 5.13 |
| Percentage of Employees Aged Below 30 | % | 43.39 | 46.62 | 45.21 |
| Percentage of Female Employees | % | 37.24 | 36.78 | 36.93 |
| Percentage of General Employees | % | 79.68 | 78.92 | 90.99 |
| Percentage of Male Employees | % | 62.76 | 63.22 | 63.07 |
| Percentage of Middle Management Employees | % | 18.1 | 18.64 | 7.91 |
| Percentage of Senior Management Employees | % | 2.23 | 2.48 | 1.11 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 | 100 |
| Percentage of Trained Female Employees | % | 100 | 100 | 100 |
| Percentage of Trained General Employees | % | 100 | 100 | 100 |
| Percentage of Trained Male Employees | % | 100 | 100 | 100 |
| Percentage of Trained Middle Management | % | 100 | 100 | 100 |
| Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours/year | 219 | 226 | 240 |
| Average Training Hours (General Employees) | hours/year | 216 | 216 | 235 |
| Average Training Hours (Male) | hours/year | 219 | 224 | 240 |
| Average Training Hours (Middle Management) | hours/year | 264 | 264 | 264 |
| Average Training Hours (Senior Management) | hours/year | 192 | 192 | 192 |
| Average Training Hours per Employee | hours/year | 219 | 224 | 240 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Social Investment | RMB'0000 | 1085 | 1008 | 576 |