<p>The Qinghai-Tibet Plateau is the third pole of the Earth and is strongly responsive and sensitive to global climate change. The main reasons for exacerbating global climate change are CO<sub>2</sub> emissions caused by human activities. Buildings are important carriers of human activities in the Qinghai-Tibet Plateau. However, the driving factors and changing trends of CO<sub>2</sub> emissions in the building sector are ambiguous, which has led to a lack of research support for CO<sub>2</sub> emissions reduction in the Qinghai-Tibet Plateau and other ecologically fragile areas. This study developed a model and applied STIRPAT, ridge regression, and scenario prediction to identify historical CO<sub>2</sub> emissions, driving factors, and CO<sub>2</sub> emissions predictions from the building sector in Qinghai Province. The key findings were: Population, non-agriculturalization, population aging, GDP per capita, squared term of GDP per capita, and cement consumption were positively correlated with CO<sub>2</sub> emissions in the building sector on the Qinghai-Tibet Plateau. In contrast, improvements in energy structure could reduce emissions. The predictions showed that peak CO<sub>2</sub> emissions in the building sector could be achieved by 2027 by taking the most effective measures to optimize the energy structure and adopt new low-carbon cement technologies. It will provide an effective reference for CO<sub>2</sub> emissions reduction in the Qinghai-Tibet Plateau and other ecologically fragile areas.</p>

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The driving factors and changing trends of CO2 emissions in the building sector on the Qinghai-Tibet plateau: A case study of Qinghai Province

  • Mengdi Wei,
  • Zhiqi Gong,
  • Na Li,
  • Chengkui Liu,
  • Jianming La,
  • Kunlun Wu

摘要

The Qinghai-Tibet Plateau is the third pole of the Earth and is strongly responsive and sensitive to global climate change. The main reasons for exacerbating global climate change are CO2 emissions caused by human activities. Buildings are important carriers of human activities in the Qinghai-Tibet Plateau. However, the driving factors and changing trends of CO2 emissions in the building sector are ambiguous, which has led to a lack of research support for CO2 emissions reduction in the Qinghai-Tibet Plateau and other ecologically fragile areas. This study developed a model and applied STIRPAT, ridge regression, and scenario prediction to identify historical CO2 emissions, driving factors, and CO2 emissions predictions from the building sector in Qinghai Province. The key findings were: Population, non-agriculturalization, population aging, GDP per capita, squared term of GDP per capita, and cement consumption were positively correlated with CO2 emissions in the building sector on the Qinghai-Tibet Plateau. In contrast, improvements in energy structure could reduce emissions. The predictions showed that peak CO2 emissions in the building sector could be achieved by 2027 by taking the most effective measures to optimize the energy structure and adopt new low-carbon cement technologies. It will provide an effective reference for CO2 emissions reduction in the Qinghai-Tibet Plateau and other ecologically fragile areas.