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Exploring the impacts of biofuel expansion on land use change and food security based on a land explicit CGE model: A case study of China

机译:基于土地显性CGE模型探索生物燃料扩展对土地利用变化和粮食安全的影响:以中国为例

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摘要

Biofuel plays an important role in the transition to low-carbon energy systems. However, the large-scale expansion of biofuels may cause drastic land use change (LUC) due to feedstock cultivation and further result in other sustainability impacts (e.g., food supply), which are the key concerns for policy makers when designing bioenergy policies. However, biophysical models omit the indirect LUC from interactions of economic agents, whereas economic models lack the depiction of heterogeneous land use types. Thus, through either technique, it has formidable challenges to simulate land conversions among alternative uses driven by socioeconomic activities, especially policy mandates. To bridge the gap between these models by simultaneously considering land heterogeneity and market mechanisms and to gain better insights into specific national/regional cases to supplement previous global biofuel and LUC analyses, in this study, we develop a national computable general equilibrium (CGE) model augmented with an explicit land allocation module and design a scenario approach to simulate different patterns of land use management. Food grains and dedicated energy crops are considered feedstock sources and marginal land is incorporated as a potential land supply. Using this model, the case study of China quantifies the direct and indirect LUC driven by the bioethanol (one of the main biofuels) expansion of the new nationwide E10 mandate (gasoline containing 10% ethanol) in 2020, as well as the further impacts on food security. The results show that a slight land reallocation occurs with decreases in the land supply for rice (- 0.016%), other non-feedstock grains and crops, as well as forest and grassland (- 0.023%). The land competition among existing croplands would be intense in the non-deforestation scenario. If marginal land is reclaimed for feedstock cultivation, the cropland competition could be softened. The results of sensitivity analysis indicate that the total LUC scale would be 4.0-5.9% with no corn stockpile serving as feedstock. Additionally, the bioethanol expansion would trigger higher food prices (around +0.1%). To alleviate the negative impacts on land resources and food security, planting energy crops on marginal land could increase non-grain feedstocks by 10% and save 0.217% of croplands; therefore, it may be one of the promising pathways for sustainable biofuel development in China. This study can lay a common foundation for further integrated impact assessments of biofuel expansion.
机译:生物燃料在向低碳能源系统过渡中扮演着重要角色。但是,生物燃料的大规模扩张可能会由于原料种植而引起土地用途的急剧变化(LUC),并进一步导致其他可持续性影响(例如粮食供应),这是政策制定者在设计生物能源政策时的主要关注点。然而,生物物理模型忽略了经济主体相互作用的间接LUC,而经济模型则缺乏对土地异质性使用类型的描述。因此,无论采用哪种技术,要模拟由社会经济活动,特别是政策要求驱动的替代用途之间的土地转化都面临着巨大的挑战。为了通过同时考虑土地异质性和市场机制来弥合这些模型之间的差距,并获得对特定国家/地区案例的更好见解,以补充先前的全球生物燃料和LUC分析,在本研究中,我们开发了国家可计算一般均衡(CGE)模型增加了明确的土地分配模块,并设计了一种方案方法来模拟不同的土地利用管理模式。粮食和专用能源作物被视为原料,边际土地被纳入为潜在的土地供应。使用此模型,中国的案例研究量化了2020年新的全国E10法规(含10%乙醇的汽油)的生物乙醇(主要的生物燃料之一)扩展所驱动的直接和间接LUC,以及对以下方面的进一步影响食品安全。结果表明,随着水稻(-0.016%),其他非原料谷物和农作物以及森林和草地(-0.023%)的土地供应减少,土地重新分配的情况略有变化。在非森林砍伐的情况下,现有耕地之间的土地竞争将非常激烈。如果开垦边际土地用于原料种植,则耕地竞争可能会减弱。敏感性分析的结果表明,没有玉米储备作为原料的总LUC规模为4.0-5.9%。此外,生物乙醇的扩张将引发更高的食品价格(约+ 0.1%)。为了减轻对土地资源和粮食安全的不利影响,在边际土地上种植能源作物可以使非粮食原料增加10%,并节省0.217%的耕地;因此,它可能是中国可持续生物燃料发展的有前途的途径之一。这项研究可以为进一步评估生物燃料膨胀的综合影响奠定基础。

著录项

  • 来源
    《Applied Energy》 |2019年第15期|514-525|共12页
  • 作者单位

    Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China|Joint Ctr Global Change Studies, Beijing 100875, Peoples R China;

    Tsinghua Univ, Tsinghua Rio Tinto Joint Res Ctr Resources Energy, Beijing 100084, Peoples R China|Tsinghua Univ, Inst Energy Environm & Econ, Beijing 100084, Peoples R China;

    Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China|Joint Ctr Global Change Studies, Beijing 100875, Peoples R China|Tsinghua Univ, Tsinghua Rio Tinto Joint Res Ctr Resources Energy, Beijing 100084, Peoples R China;

    Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biofuel; Land use change; Food supply; Computable general equilibrium (CGE) model; China;

    机译:生物燃料;土地利用变化;粮食供应;可计算一般均衡(CGE)模型;中国;

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