根据时间变化的参数C-D生产函数,江西省农业碳排放的驱动因素和脱效应
Jia-Qing Zhu1, Hui-Yan Qin1, Meng-Chun Zhang2
1College of Economics and Management, Northeast Forestry University, Harbin 150040, China.
Ying yong sheng tai xue bao = The journal of applied ecology
|November 24, 2023
概括
江西的农业碳排放量从2010年到2021年增加了26.4%,但强度下降. 劳动力投入,资本库存和碳强度减少了排放,而经济发展推动了增长,显示出微弱的脱.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 经济学 经济学 经济学
背景情况:
- 减少农业排放对于实现双碳目标至关重要.
- 了解区域农业碳排放驱动因素和动态非常重要.
研究的目的:
- 分析江西省农业碳排放的特点和驱动因素.
- 探索农业碳排放与经济发展之间的脱动态.
主要方法:
- 输入-输出和生产过程分析.
- 逻辑平均分数指数 (LMDI) 分解方法.
- 塔皮欧脱模型通过时间变化的参数C-D生产函数进行修改.
主要成果:
- 从2010年到2021年,江西的农业碳排放量增加了26.4%,而碳排放强度每年下降4.9%.
- 劳动力投入 (44.5%),资本库存 (28.5%),以及农业碳强度 (27.0%) 减少了排放. 经济发展 (75.7%) 是主要的驱动力,其次是技术进步 (18.8%) 和农业结构 (5.6%).
- 农业碳排放与经济发展,资本库存和技术进步之间存在较弱的脱关系. 与劳动力投入发生了负解. 随着时间的推移,脱改进了.
结论:
- 该研究强调了影响农业碳排放和江西经济发展的因素的复杂相互作用.
- 修改的时间变化的参数C-D生产函数在分析排放驱动因素和脱效应方面被证明是有效的.
- 政策干预应侧重于减轻劳动投入的影响,并利用经济发展和技术进步实现可持续农业实践.
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