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中国农业部门经济增长与能源相关 CO 排放脱钩的原因是什么?

What drives the decoupling between economic growth and energy-related CO emissions in China's agricultural sector?

机构信息

Center for Agricultural-Sage Culture Studies, Weifang University of Science and Technology, Weifang, 262700, Shandong, China.

School of Economics and Business Administration, Chongqing University, Chongqing, 400030, China.

出版信息

Environ Sci Pollut Res Int. 2021 Aug;28(32):44165-44182. doi: 10.1007/s11356-021-13508-2. Epub 2021 Apr 13.

Abstract

Many studies have shown that the rapid agricultural mechanization development in China led to substantial energy consumption and CO emission growth. To better explain the mechanism behind the decoupling between economic growth and CO emissions, this paper extends the logarithmic mean Divisia index (LMDI) and production-theoretical decomposition (PDA) considering agricultural decoupling from both structural and technical perspectives. The results reveal that (1) China's agricultural decoupling performance was not ideal. Investment and investment efficiency were the most important factors influencing the decoupling status. The main decoupling obstacle was a higher investment in productivity rather than in energy conservation and carbon reduction. (2) The decoupling status and investment orientation of decoupling efforts among regions were different. Strong negative decoupling statuses frequently occurred in the eastern region, whose main disadvantage was high potential energy intensity. The decoupling status of the central region exhibited expansive features. The decoupling key is to invest more in energy-saving technology rather than in production. The western region changed from weak decoupling to expansive negative decoupling. Both output technology and energy-related factors should be the main investment targets. (3) Weak decoupling and expansive negative decoupling were the most common statuses among provinces. The influence mechanism of drivers exhibited a high spatial heterogeneity at the provincial level. Therefore, the study offered a convincing basis for local governments to formulate low-carbon agricultural development policies by identifying the main decoupling drivers.

摘要

许多研究表明,中国农业机械化的快速发展导致了能源消耗和 CO2 排放的大量增长。为了更好地解释经济增长与 CO2 排放脱钩的背后机制,本文从结构和技术两个角度扩展了对数平均迪氏指数(LMDI)和生产理论分解(PDA),以考虑农业脱钩。结果表明:(1)中国农业脱钩绩效不理想。投资及其效率是影响脱钩状态的最重要因素。主要的脱钩障碍是生产力投资较高,而不是节能和减排投资较高。(2)区域脱钩努力的脱钩状态和投资方向不同。东部地区经常出现强烈的负脱钩状态,其主要劣势是潜在能源强度高。中部地区的脱钩状态具有扩展性。脱钩的关键是在节能技术上投入更多,而不是在生产上投入更多。西部地区的脱钩状态由弱脱钩转变为扩展性负脱钩。输出技术和能源相关因素都应该是主要的投资目标。(3)弱脱钩和扩展性负脱钩是各省最常见的状态。驱动因素的影响机制在省级层面表现出高度的空间异质性。因此,本研究通过确定主要的脱钩驱动因素,为地方政府制定低碳农业发展政策提供了有力的依据。

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