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 | 2019 | Report Pages |
---|---|---|---|
Nitrogen oxides emissions avoided by wind and photovoltaic power generation | tons | 2249 | 21 |
Total emissions of nitrogen oxide | kg | 8922.02 | 53 |
Total emissions of particulate | kg | 853.78 | 53 |
Total emissions of sulfur oxide | kg | 25.74 | 53 |
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 |
---|---|---|---|---|---|
Carbon dioxide emissions per RMB 10000 revenue | tCO₂e/RMB 10000 | 0.0457 | 0.0328 | 0.0292 | 54 |
Greenhouse gas emissions | tCO₂e | 32240 | 32723 | 34906 | 54 |
Greenhouse gas emissions Scope I | tCO2e | 5955.79 | 53 | ||
Greenhouse gas emissions Scope II | tCO2e | 28950.04 | 53 | ||
Total greenhouse gas emissions | tCO2e | 34905.83 | 53 |
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 |
---|---|---|---|---|
Intensity of non-hazardous waste | tons/RMB 10000 | 0.0001 | 0.00007 | 56 |
Non-hazardous waste | tons | 100.55 | 79.89 | 56 |
Percentage of waste oil recycled | of waste oil | 100% | 55 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Carbon dioxide emissions avoided by wind and photovoltaic power generation | tons | 7593500 | 21 |
Dust emissions avoided by wind and photovoltaic power generation | tons | 540 | 21 |
Sulfur dioxide emissions avoided by wind and photovoltaic power generation | tons | 2339 | 21 |
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 |
---|---|---|---|---|---|
Annual natural gas sales volume | million cubic meters | 3237 | 8 | ||
Annual photovoltaic power generation | million kWh | 163 | 21 | ||
Annual wind power generation | million kWh | 8834 | 8 | ||
Annual wind power generation of the consolidated wind farm | billion kWh | 8.834 | 21 | ||
Attributable installed capacity | MW | 3939.62 | 8 | ||
Diesel consumption | L | 171624 | 92801 | 44525 | 54 |
Electricity consumption | kWh | 26206836 | 27174885 | 30117811 | 54 |
Energy consumption per RMB 10000 revenue | tce/RMB 10000 | 0.0095 | 0.0066 | 0.0057 | 54 |
Gasoline consumption | L | 1895095 | 1904462 | 1698581 | 54 |
Liquefied gas consumption | m³ | 40671 | 19281 | 24674 | 54 |
Natural gas consumption | m³ | 818661 | 865313 | 888345 | 54 |
New photovoltaic agreement capacity | MW | 520 | 21 | ||
New photovoltaic filing capacity | MW | 200 | 21 | ||
New wind power consolidated installed capacity | MW | 557.6 | 21 | ||
Photovoltaic electricity generation | 100 million kWh | 0.96 | 1.39 | 1.63 | 22 |
Photovoltaic installed capacity | MW | 81 | 101 | 102 | 22 |
Wind power consolidated installed capacity | MW | 3348.4 | 3858.15 | 4415.75 | 22 |
Wind power electricity generation | 100 million kWh | 67.37 | 76.76 | 88.34 | 22 |
Year-on-year increase in annual photovoltaic power generation | 16.80% | 21 | |||
Year-on-year increase in annual wind power generation | 15.08% | 21 |
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 |
---|---|---|---|
Investment in environmental protection | million RMB | 15.3848 | 56 |
New operating pipelines | kilometers | 1026.49 | 21 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Coverage of collective bargaining agreements | 100% | 44 | |||
Distribution of employees by age 36-40 | person | 200 | 297 | 377 | 45 |
Distribution of employees by age 41-45 | person | 121 | 128 | 154 | 45 |
Distribution of employees by age 46-50 | person | 52 | 91 | 106 | 45 |
Distribution of employees by age 51-54 | person | 22 | 23 | 56 | 45 |
Distribution of employees by age ≤35 | person | 1633 | 1670 | 1630 | 45 |
Distribution of employees by age ≥55 | person | 7 | 12 | 14 | 45 |
Number of female employees | person | 321 | 332 | 340 | 44 |
Number of indirectly hired employees | person | 193 | 209 | 217 | 44 |
Number of labor contract employees | person | 2037 | 2221 | 2337 | 44 |
Number of male employees | person | 1718 | 1889 | 1997 | 44 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Number of employee turnover by age 36-40 | person | 9 | 1 | 14 | 45 |
Number of employee turnover by age 41-45 | person | 5 | 1 | 5 | 45 |
Number of employee turnover by age 46-50 | person | 1 | 1 | 45 | |
Number of employee turnover by age 51-54 | person | 1 | 2 | 45 | |
Number of employee turnover by age ≤35 | person | 46 | 31 | 74 | 45 |
Number of employee turnover by age ≥55 | person | 1 | 45 | ||
Percentage of dismission employees | % | 2.95 | 1.46 | 3.66 | 45 |
Total number of dismission employees | person | 62 | 33 | 97 | 45 |
Turnover rate of employees by gender Female | % | 0.17 | 0.9 | 2.58 | 45 |
Turnover rate of employees by gender Male | % | 2.23 | 1.56 | 4.22 | 45 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Investment in operational safety | RMB 10000 | 1616 | 3130 | 3583 | 30 |
Investment in safety production | million RMB | 35.83 | 30 | ||
Investment in safety publicity | RMB | 131400 | 39 | ||
Number of hidden safety hazards found during inspection | item | 103 | 32 | ||
Safety-related services provided | hours | 17539 | 39 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
R&D investment | million RMB | 10.2926 | 25 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Average training hours per person by employee type: General staff | hour | 38.77 | 48 | 69.15 | 48 |
Average training hours per person by employee type: Middle management | hour | 44.06 | 45 | 79.54 | 48 |
Average training hours per person by employee type: Senior management | hour | 37.97 | 45 | 75.49 | 48 |
Average training hours per person by gender: Female | hour | 38.6 | 35.08 | 52.66 | 48 |
Average training hours per person by gender: Male | hour | 40.4 | 51.67 | 70.58 | 48 |
Average training hours per person for General Staff | hour | 15 | 11 | 15 | 34 |
Average training hours per person for Middle Management | hour | 18 | 16 | 22 | 34 |
Average training hours per person for Senior Management | hour | 24 | 16 | 20 | 34 |
Number of suppliers by geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Accumulated operating pipelines | kilometers | 5168.66 | 21 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Sales of natural gas | billion cubic meters | 3.237 | 21 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Customer Satisfaction Survey - Non-residential | % | 100 | 94.1 | 100 | 39 |
Customer Satisfaction Survey - Residential | % | 99.4 | 99.3 | 99.25 | 39 |
Number of complaints received - Residential | case | 66 | 88 | 91 | 39 |
Sales volume of natural gas | million m³ | 1879 | 2631.1 | 3237 | 22 |
Year-on-year increase in sales of natural gas | 23.02% | 21 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of invention patents | 15 | 25 | |
Number of utility model patents | 26 | 25 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Number of troubleshoot security checks | item | 70 | 152 | 103 | 32 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Average anti-corruption training per person | hours | 198 | 13 |
Hours of anti-corruption training per person for general staff | hours | 175 | 13 |
Hours of anti-corruption training per person for senior management | hours | 213 | 13 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Investment in social welfare | RMB | 175200 | 60 |
Number of persons out of poverty in Legou Village | persons | 339 | 60 |
Number of science and technology projects and information projects | 26 | 25 | |
Percentage of respondents interested in learning more about sustainable development of Suntien | % | 97.02 | 17 |
Percentage of respondents who believed ESG reporting can help understand sustainable development work in Suntien | % | 95.24 | 17 |
Percentage of respondents who have read the Environmental, Social and Governance Report 2018 of Suntien | % | 89.88 | 17 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Investment in poverty alleviation | RMB | 89600 | 60 | ||
Number of families out of poverty in Legou Village | families | 156 | 60 | ||
Total charity expenses | RMB 10000 | 19.42 | 18.46 | 17.52 | 60 |
Total hours spent on charity activities | hour | 18085 | 8947 | 18096 | 60 |
Volunteer activity hours | hours | 18096 | 60 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2019 |
---|---|---|
Airborne Particulate Matter (PM) Emissions | tons | 0.85378 |
NOₓ Emissions | tons | 8.92202 |
SOₓ Emissions | tons | 0.02574 |
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) | tCO2e | 5955.79 | ||
Indirect Energy Emissions (Scope 2) | tCO2e | 28950.04 | ||
Total GHG Emissions | tCO2e | 32240 | 32723 | 34906 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/RMB 10000 | 0.0457 | 0.0328 | 0.0292 |
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 |
---|---|---|---|
Total Non-Hazardous Waste Intensity (By Revenue) | tons/RMB 10000 | 0.0001 | 0.00007 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 |
---|---|---|
CO2 Emissions Reduction Compared to Last Year | tons | 7593500 |
Dust Reduction Compared to Last Year | tons | 540 |
SO2 Emissions Reduction Compared to Last Year | tons | 2339 |
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 |
---|---|---|---|---|
Diesel Fuel Consumption | L | 171624 | 92801 | 44525 |
Energy Consumption Intensity (By Revenue) | tce/RMB 10000 | 0.0095 | 0.0066 | 0.0057 |
Gasoline Consumption | L | 1895095 | 1904462 | 1698581 |
LPG Consumption | m³ | 40671 | 19281 | 24674 |
Natural Gas Consumption | m³ | 818661 | 865313 | 888345 |
Purchased Electricity | kWh | 26206836 | 27174885 | 30117811 |
Solar Energy | kWh | 96000000 | 139000000 | 163000000 |
Wind Energy | kWh | 673700000 | 767600000 | 883400000 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2019 |
---|---|---|
Total Investment in Ecological Restoration | million RMB | 15.3848 |
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 | person | 373 | 516 | 687 |
Number of Employees Aged Above 50 | person | 29 | 35 | 70 |
Number of Female Employees | person | 321 | 332 | 340 |
Number of Male Employees | person | 1718 | 1889 | 1997 |
Number of Total Employees | person | 2037 | 2221 | 2337 |
Percentage of Female Employees | % | 15.76 | 14.95 | 14.56 |
Percentage of Male Employees | % | 84.38 | 85.07 | 85.51 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Turnover Rate of Female Employees | % | 0.17 | 0.9 | 2.58 |
Turnover Rate of Male Employees | % | 2.23 | 1.56 | 4.22 |
Turnover Rate of Total Employees | % | 2.95 | 1.46 | 3.66 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Investment in Work Safety | RMB 10000 | 1616 | 3130 | 3583 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Average Training Hours (Female) | hour | 38.6 | 35.08 | 52.66 |
Average Training Hours (General Staff) | hour | 38.77 | 48 | 69.15 |
Average Training Hours (Male) | hour | 40.4 | 51.67 | 70.58 |
Average Training Hours (Middle Management) | hour | 44.06 | 45 | 79.54 |
Average Training Hours (Senior Management) | hour | 37.97 | 45 | 75.49 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Standard Indicator | Unit | 2019 |
---|---|---|
Percentage of Recalled Products for Safety and Health Reasons | Not applicable |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Total Number of Customer Complaints | case | 66 | 88 | 91 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Authorised Utility Model Patents | 26 | |
Number of Invention Patents | 15 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2019 |
---|---|---|
Average Anti-corruption Training Hours for Directors and Management | hours | 213 |
Average Anti-corruption Training Hours for General Employees | hours | 175 |
Average Hours of Anti-corruption Training | hours | 198 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Investment in Targeted Poverty Alleviation | RMB | 89600 | ||
Total Public Welfare Donations | RMB | 194200 | 184600 | 175200 |
Total Social Investment | RMB | 194200 | 184600 | 1071200 |
Total Volunteer Service Hours | hour | 18085 | 8947 | 18096 |