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测量农业生产的碳影子价格:一个区域一级的非参数方法

Yunlong Zhang¹, Jingyu Zhuo¹, Tomas Baležentis²

¹School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.

Environmental science and pollution research international

|February 9, 2024

概括

这项研究估计了中国农业部门碳排放的影子价格,发现包括牲畜在内提高了准确性. 碳影子价格上表明绿色发展和环境绩效取得了进展.

科学领域:

环境经济学环境经济学
农业经济学农业经济学
气候变化政策气候变化政策

背景情况:

气候变化需要减少碳排放的政策.
准确的成本估计,包括影子定价,对于政策制定至关重要.
农业部门对碳影子定价的研究有限.

研究的目的:

为了估计中国农业部门碳排放的影子价格.
纳入畜牧业对碳排放和影子定价的影响.
分析碳影子价格及其趋同的省级视角.

主要方法:

使用影子定价来确定相对商品价格.
计算农业部门的碳排放,包括畜牧业.
在省级数据上应用趋同分析 (sigma和beta).

主要成果:

忽视牲畜可能导致过高估计碳影价 (CSP) 值.
中国农业部门的整体碳影子价格正在上升.
在CSP中观察到西部和中部地区的西格玛和β收.

结论:

畜牧业对碳排放计算和农业中的影子价格产生重大影响.
碳影子价格的上趋势表明,中国农业部门的绿色发展是积极的.
西部和中部地区的趋同表明环境绩效有所改善.

关键词:

碳影子价格碳影子价格中国农业中国农业收分析是一致性分析.环境表现环境表现

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