1987-2017年中国的区域间输出输出表系列,集成碳排放数据
Qiong Zhao1, Chen Pan2, Zengkai Zhang3
1College of Management and Economics, Tianjin University, Tianjin, 300072, China.
Scientific data
|December 18, 2024
概括
本研究提供了对中国区域间输入输出 (IRIO) 表的全面30年数据集,这对于分析经济联系和碳排放至关重要. 调查结果揭示了区域经济变化和二氧化碳排放的关键驱动因素.
科学领域:
- 经济学 经济学 经济学
- 环境科学 环境科学
- 区域科学 地区科学
背景情况:
- 区域间输入输出 (IRIO) 表对于社会经济和环境评估至关重要.
- 现有的中国IRIO表没有连续的时间序列和详细的分类.
研究的目的:
- 编制中国IRIO表 (1987-2017) 的连续时间序列,并提供详细的区域和部门数据.
- 整合省级二氧化碳排放数据,分析经济联系和碳排放趋势.
- 确定区域经济和碳排放变化的主要驱动因素.
主要方法:
- 使用海关记录调整的进出口数据.
- 应用了输入输出表平衡的最小交叉模型.
- 利用重力模型来估计省际贸易流.
- 构建的多区域输入输出 (MRIO) 和IRIO表.
主要成果:
- 开发了一个新的长期 (1987-2017) 中国IRIO表数据集.
- 综合二氧化碳排放数据以分析区域经济和环境动态.
- 确定了影响区域间贸易和碳足迹的关键因素.
结论:
- 编制的IRIO表格为区域经济分析提供了重要的应用.
- 该数据集对于政策评估和环境研究具有价值.
- 了解区域经济联系对于有效的环境政策至关重要.
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