Scholarlink

<p>This study focuses on energy consumption, carbon emissions, and productive land use. Adopting a carbon footprint methodology based on the ecological footprint framework, it accounts for the carbon ecological footprint and carbon carrying capacity of the nine provinces and regions in the Yellow River Basin from 2010 to 2021. By introducing indicators such as carbon deficit/surplus, carbon ecological footprint per 10,000 yuan GDP, and the Carbon Ecological Carrying Capacity Index (ECI), the study assesses the development of the regional carbon system and analyzes its level of sustainability. A carbon ecological footprint model for the nine provinces and regions was established to analyze temporal trends and spatiotemporal distribution patterns. Furthermore, the driving factors of the carbon ecological footprints were examined using the logarithmic mean Divisia index (LMDI) decomposition method. The results indicate that the per capita carbon ecological footprint in the nine provinces and regions remained relatively stable overall, though some provinces, such as the Inner Mongolia Autonomous Region, exhibited an upward trend. Qinghai Province and the Inner Mongolia Autonomous Region had the highest per capita carbon ecological footprints, while Henan and Sichuan Provinces were at comparatively lower levels. In terms of carbon carrying capacity, Shandong and Gansu Provinces showed the most significant increases in per capita carbon carrying capacity, whereas the Ningxia Hui Autonomous Region experienced a slight fluctuating decline. Most areas in Qinghai and Sichuan Provinces were in a state of carbon surplus, while the remaining regions were in carbon deficit. The carbon ecological footprint per 10,000 yuan GDP across the nine provinces and regions showed an overall decreasing trend, indicating improved efficiency in carbon resource utilization. The Carbon Sustainable Development Index (CSI) varied notably among provinces: Qinghai Province recorded the highest and most stable index; Sichuan Province ranked above Henan Province, which, despite a lower index, still demonstrated an overall upward trend.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Evaluation of carbon sustainable development in the nine provinces and regions of the Yellow River Basin based on carbon ecological footprints

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月24日

查看全文
  • Rong Gan,
  • Kexin Chen,
  • Yini Li,
  • Jie Tao,
  • Yushun Zhang,
  • Dongwang Wang

摘要

This study focuses on energy consumption, carbon emissions, and productive land use. Adopting a carbon footprint methodology based on the ecological footprint framework, it accounts for the carbon ecological footprint and carbon carrying capacity of the nine provinces and regions in the Yellow River Basin from 2010 to 2021. By introducing indicators such as carbon deficit/surplus, carbon ecological footprint per 10,000 yuan GDP, and the Carbon Ecological Carrying Capacity Index (ECI), the study assesses the development of the regional carbon system and analyzes its level of sustainability. A carbon ecological footprint model for the nine provinces and regions was established to analyze temporal trends and spatiotemporal distribution patterns. Furthermore, the driving factors of the carbon ecological footprints were examined using the logarithmic mean Divisia index (LMDI) decomposition method. The results indicate that the per capita carbon ecological footprint in the nine provinces and regions remained relatively stable overall, though some provinces, such as the Inner Mongolia Autonomous Region, exhibited an upward trend. Qinghai Province and the Inner Mongolia Autonomous Region had the highest per capita carbon ecological footprints, while Henan and Sichuan Provinces were at comparatively lower levels. In terms of carbon carrying capacity, Shandong and Gansu Provinces showed the most significant increases in per capita carbon carrying capacity, whereas the Ningxia Hui Autonomous Region experienced a slight fluctuating decline. Most areas in Qinghai and Sichuan Provinces were in a state of carbon surplus, while the remaining regions were in carbon deficit. The carbon ecological footprint per 10,000 yuan GDP across the nine provinces and regions showed an overall decreasing trend, indicating improved efficiency in carbon resource utilization. The Carbon Sustainable Development Index (CSI) varied notably among provinces: Qinghai Province recorded the highest and most stable index; Sichuan Province ranked above Henan Province, which, despite a lower index, still demonstrated an overall upward trend.