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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Nitrogen oxides (kg) at Company's headquarters | kg | 139.31 | 135.62 | 31 |
| Particulates (kg) at Company's headquarters | kg | 14.63 | 14.61 | 31 |
| Sulfur dioxides (kg) at Company's headquarters | kg | 3.59 | 4.47 | 31 |
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 |
|---|---|---|---|---|
| Direct greenhouse gas emissions (Tonnes of carbon dioxide equivalent) at Company's headquarters | tonnes CO2e | 74.26 | 83.55 | 31 |
| Greenhouse gas emission intensity (Kilograms of carbon dioxide equivalent/sq.m.) at Company's headquarters | kg CO2e/sq.m. | 30.31 | 31.11 | 31 |
| Indirect greenhouse gas emissions (Tonnes of carbon dioxide equivalent) at Company's headquarters | tonnes CO2e | 205.76 | 203.86 | 31 |
| Total greenhouse gas emissions (Tonnes of carbon dioxide equivalent) at Company's headquarters | tonnes CO2e | 280.02 | 287.4 | 31 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Carbon reduction from Green Building Evaluation Label | tons/year | 47000 | 23 |
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 |
|---|---|---|---|---|
| Completed area | sq.m. | 960000000 | 9 | |
| Electricity consumption (Company headquarters) | kWh | 337262 | 334135 | 28 |
| Gasoline consumption (Company headquarters) | tonnes | 10.8 | 10.3 | 28 |
| Integrated energy consumption (Company headquarters) | '000 kWh | 670.2 | 714.58 | 28 |
| Natural gas consumption (Company headquarters) | standard cubic meter | 18817 | 23760 | 28 |
| Total area with Green Residential District Labels | million sq.m. | 1.58 | 23 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Integrated energy consumption intensity (Company headquarters) | kWh/sq.m. | 72.54 | 77.34 | 28 |
| Total GFA of land bank in PRC (excluding investment properties and properties held for own use) | sq.m. | 8765415 | 11932579 | 16 |
| Total GFA of land bank year-on-year increase | 36.0% | 16 | ||
| Total GFA sold | sq.m. | 3380685 | 16 | |
| Total GFA sold year-on-year increase | 11.3% | 16 | ||
| Total reported area with Green Building Evaluation Label | million sq.m. | 6.3 | 23 | |
| Water consumption intensity of the Company's headquarters (cubic metre/sq.m.) | cubic metre/sq.m. | 0.48 | 0.46 | 30 |
| Water consumption of the Company's headquarters (cubic metre) | cubic metre | 4453 | 4286 | 30 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Electricity saving from Green Building Evaluation Label | million kWh/year | 59.11 | 23 |
| Energy savings of passive house project in Shijiazhuang compared to national energy-saving design standards | % | 92 | 20 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2013 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| Achievement rate of environmental impact assessment for new projects | 100% | 24 | ||||
| Area of Modern Land accredited Healthy Building Certification | sq.m. | 191000 | 24 | |||
| Area of contracted sales (Modern Land) | sq.m. | 3380685 | 9 | |||
| Area of green buildings accredited 2-star or above (Modern Land) | sq.m. | 7080000 | 9 | |||
| Green certifications (Modern Land) | 28 | 9 | ||||
| New construction area | sq.m. | 2270000000 | 9 | |||
| Number of Green Building Evaluation Labels obtained | labels | 8 | 23 | |||
| Number of Green Building Evaluation Labels obtained (cumulative) | labels | 42 | 23 | |||
| Number of Green Residential District Labels obtained | labels | 7 | 23 | |||
| Number of WELL Healthy Building Certifications obtained | certifications | 2 | 23 | |||
| Number of communities accredited as green residential areas (Modern Land) | 22 | 9 | ||||
| Number of green-related core technical patents | 85 | 24 | ||||
| Number of projects achieving Silver, Gold and Platinum rating under Green Experiential Site | projects | 14 | 48 | |||
| Number of projects awarded Three-Star Green Building Label (Modern Land) | 12 | 9 | ||||
| Three-Star Green Building Label — Operation (renewal) awarded (Modern Land MOMA project, Beijing) | awarded | 21 | ||||
| Three-Star Green Building Label — Operation awarded (Modern Land MOMA project, Beijing) | awarded | 21 | ||||
| Three-star Healthy Building Operation Label awarded (Modern Land MOMA project, Beijing) | awarded | 21 | ||||
| WELL Healthy Building Certification level for Modern Wan Guo Cheng MOMA (Tongzhou) | Platinum-level precertification | 23 | ||||
| WELL Healthy Building Certification level for Modern Wan Guo Fu MOMA (Foshan) | Gold-level certificate | 23 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Area of commercial properties sold | sq.m. | 1720000000 | 9 | |
| Group revenue | million RMB | 9337.7 | 14551.7 | 16 |
| Group revenue year-on-year increase | 55.8% | 16 | ||
| National real estate development investment | RMB | 13120000000000 | 9 | |
| Number of employees by age: Aged 30-40 (excluding 40) | person | 1251 | 38 | |
| Number of employees by age: Aged 40-50 (excluding 50) | person | 182 | 38 | |
| Number of employees by age: Aged 50 and above | person | 21 | 38 | |
| Number of employees by age: Aged under 30 (excluding 30) | person | 584 | 38 | |
| Number of employees by gender: Female | person | 614 | 38 | |
| Number of employees by gender: Male | person | 1424 | 38 | |
| Number of newly recruited employees | person | 809 | 38 | |
| Number of newly recruited employees by gender: Female | person | 594 | 38 | |
| Number of newly recruited employees by gender: Male | person | 215 | 38 | |
| Total number of employees | person | 2038 | 38 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of resigned employees | person | 613 | 38 |
| Resigned female employees as percentage of total female staff | 34.04% | 38 | |
| Resigned male employees as percentage of total male staff | 28.37% | 38 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average project safety quality assessment score (four quarters) | points | 80.67 | 47 |
| Minimum project safety quality assessment score achieved by evaluated projects | points | 80 | 47 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Finance awards (Modern Land) | 10 | 9 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018-2020 | 2019 | Report Pages |
|---|---|---|---|---|
| Car parking spaces sold | units | 5423 | 16 | |
| Car parking spaces sold year-on-year increase | 83.6% | 16 | ||
| Number of core member enterprises under CURA's green supply chain (Stage two) | enterprises | 600 | 55 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2016-2017 | Report Pages |
|---|---|---|---|
| Number of enterprises involved in CURA's green supply chain (Stage one) | enterprises | 70 | 55 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Sales of real estate | RMB | 16000000000000 | 9 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average selling price | RMB per sq.m. | 9310 | 9 |
| Average selling price (ASP) per sq.m. | RMB/sq.m. | 10554 | 16 |
| Contracted sales (Group, joint ventures and associates) | million RMB | 36202.6 | 16 |
| Contracted sales (Modern Land) | RMB | 36200000000 | 9 |
| Contracted sales year-on-year increase | 12.6% | 16 | |
| Customer complaint handling rate | 100% | 49 | |
| Number of customer complaint cases received and dealt with | cases | 817 | 49 |
| Year-on-year increase in area of contracted sales (Modern Land) | % | 11.3 | 9 |
| Year-on-year increase in average selling price | % | 6.6 | 9 |
| Year-on-year increase in completed area | % | 2.6 | 9 |
| Year-on-year increase in contracted sales (Modern Land) | % | 12.6 | 9 |
| Year-on-year increase in sales of real estate | % | 6.5 | 9 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of new utility model patents obtained | 4 | 24 | |
| Number of patents accredited (Modern Land) | 4 | 9 | |
| Total awards granted (Modern Land) | 160 | 9 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Property operation awards (Modern Land) | 51 | 9 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Donation to support COVID-19 prevention and control | RMB | 2000000 | 64 | ||
| Green bond coupon (2 January 2019) | % | 15.5 | 17 | ||
| Green bond coupon (25 April 2019) | % | 12.85 | 17 | ||
| Green bond coupon (26 February 2020) | % | 11.8 | 17 | ||
| Green bond coupon (4 March 2020) | % | 11.95 | 17 | ||
| Green bond coupon (5 March 2018) | % | 7.95 | 17 | ||
| Years of tree planting and hiking culture | years | 19 | 61 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017–2019 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Donation amount in the name of the Company | RMB | 700000 | 60 | |||
| Donation of sand and bricks for improvement of public toilets in Shilong Village, Mengguan Miao and Buyi Ethnic Township, Huaxi District, Guiyang City | RMB | 160000 | 60 | |||
| Donation to assist frontline anti-epidemic work | RMB | 2000000 | 61 | |||
| Green bond ISIN (2 January 2019) | XS1926064541 | 17 | ||||
| Green bond ISIN (25 April 2019) | XS1986632716 | 17 | ||||
| Green bond ISIN (26 February 2020) | XS2110675860 | 17 | ||||
| Green bond ISIN (4 March 2020) | XS2127478316 | 17 | ||||
| Green bond ISIN (5 March 2018) | XS1775946285 | 17 | ||||
| Green bond size of issue (2 January 2019) | million US$ | 350 | 17 | |||
| Green bond size of issue (25 April 2019) | million US$ | 300 | 17 | |||
| Green bond size of issue (26 February 2020) | million US$ | 200 | 17 | |||
| Green bond size of issue (4 March 2020) | million US$ | 150 | 17 | |||
| Green bond size of issue (5 March 2018) | million US$ | 350 | 17 | |||
| Green bond term (2 January 2019) | years | 1.5 | 17 | |||
| Green bond term (25 April 2019) | years | 2.5 | 17 | |||
| Green bond term (26 February 2020) | years | 2 | 17 | |||
| Green bond term (4 March 2020) | years | 4 | 17 | |||
| Green bond term (5 March 2018) | years | 3 | 17 | |||
| Living expenses for 7 families in Yangguan Yu County, Shanxi Province | RMB | 11200 | 60 | |||
| Total amount in support of SEE Foundation for three consecutive years | RMB | 304000 | 60 | |||
| Year-on-year increase in national real estate development investment | % | 9.9 | 9 | |||
| Year-on-year increase in new construction area | % | 8.5 | 9 | |||
| Year-over-year increase in income from sales of properties | million RMB | 4974.8 | 16 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 14.63 | 14.61 |
| NOâ‚“ Emissions | kg | 139.31 | 135.62 |
| SOâ‚“ Emissions | kg | 3.59 | 4.47 |
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) | tonnes CO2e | 74.26 | 83.55 |
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 205.76 | 203.86 |
| Total GHG Emissions | tonnes CO2e | 280.02 | 287.4 |
| Total GHG Emissions Intensity (By Area) | kg CO2e/sq.m. | 30.31 | 31.11 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tons/year | 47000 |
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 |
|---|---|---|---|
| Gasoline Consumption | tonnes | 10.8 | 10.3 |
| Natural Gas Consumption | standard cubic meter | 18817 | 23760 |
| Purchased Electricity | kWh | 337262 | 334135 |
| Total Energy Consumption | kWh | 670200 | 714580 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Water Consumption | cubic metre | 4453 | 4286 |
| Water Consumption Intensity (By Revenue) | cubic metre/sq.m. | 0.48 | 0.46 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | million kWh/year | 59.11 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Employees Aged 30-50 | person | 1433 |
| Number of Employees Aged Above 50 | person | 21 |
| Number of Employees Aged Below 30 | person | 584 |
| Number of Female Employees | person | 614 |
| Number of Male Employees | person | 1424 |
| Number of New Employees | person | 809 |
| Number of New Employees (Above 50) | person | 5 |
| Number of New Employees (Aged 30-50) | person | 436 |
| Number of New Employees (Aged Below 30) | person | 368 |
| Number of New Employees (Female) | person | 594 |
| Number of New Employees (Male) | person | 215 |
| Number of Total Employees | person | 2038 |
| Percentage of Employees Aged 30-50 | % | 70.3 |
| Percentage of Employees Aged Above 50 | % | 1 |
| Percentage of Employees Aged Below 30 | % | 28.7 |
| Percentage of Female Employees | % | 30.1 |
| Percentage of Male Employees | % | 69.9 |
| Percentage of New Employees | % | 39.7 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Female Employees | % | 34.04 |
| Turnover Rate of Male Employees | % | 28.37 |
| Turnover Rate of Total Employees | person | 613 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Employees Trained | % |
| Percentage of Trained Female Employees | % |
| Percentage of Trained Male Employees | % |
| Percentage of Trained Middle Management | % |
| Percentage of Trained Senior Management | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Female) | hours |
| Average Training Hours (Male) | hours |
| Average Training Hours per Employee | hours |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018-2020 |
|---|---|---|
| Number of Total Suppliers | enterprises | 600 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Standard Indicator | Unit | 2016-2017 |
|---|---|---|
| Percentage of Suppliers Adopting Green Procurement Standards | enterprises | 70 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Complaints Handling Rate | % | 100 |
| Number of Complaints Dealt with | cases | 817 |
| Total Number of Customer Complaints | cases | 817 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Authorised Utility Model Patents | 4 | |
| Number of Patents Granted | 4 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Investment in Education Donation | RMB | 75000 | |
| Investment in Targeted Poverty Alleviation | RMB | 11200 | |
| Total In-kind Donations | RMB | 160000 | |
| Total Public Welfare Donations | RMB | 700000 | 2000000 |
| Total Social Investment | RMB | 871200 | 2000000 |