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基于因子约束锥的分解分析的家庭 CO 排放 ZSG-DEA 模型:以四川省为例。

A ZSG-DEA model with factor constraint cone-based decoupling analysis for household CO emissions: a case study on Sichuan province.

机构信息

Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China.

International College, Krirk University, Bangkok, 10220, Thailand.

出版信息

Environ Sci Pollut Res Int. 2023 Aug;30(40):93269-93284. doi: 10.1007/s11356-023-28871-5. Epub 2023 Jul 28.

DOI:10.1007/s11356-023-28871-5
PMID:37501036
Abstract

This study employed an input-output approach to measure household CO emissions (HCEs) in Sichuan province, China from 2010 to 2017. A ZSG-DEA model with a factor constraint cone was built, to allocate such emission allowances to provincial subordinate cities and investigate their spatiotemporal heterogeneity. Using Tapio decoupling analysis, this study further examined the nexus between regional economic performance and HCEs. The results indicated that HCEs in Sichuan province initially increased and then decreased, peaking at 69.60 million tons in 2015. The structure of the HCEs changed from coal- to petroleum-dominated from 2010 to 2017. Indirect emissions from consumption-related sectors accounted for 60% of the total HCEs, including food, transportation, communication, and accommodation. The capital city of Chengdu, with the largest economic scale, overwhelmingly dominated the total household CO emissions, whereas Panzhihua, a heavy-industry-dominated city, had the highest HCEs  per capita. The Tapio decoupling results suggested that seven cities, led by Chengdu, had strong decoupling statuses, indicating that these cities performed well in the trade-off between economic growth and HCEs reduction. These results indicated that HCEs had a head effect centered on cities with advanced urbanization, but there was a virtuous cycle between CO emissions reduction and economic development. Given the spatial and temporal heterogeneity of HCEs, differentiated policymaking on emissions reduction is the key to facilitating green transformations.

摘要

本研究采用投入产出法,测算了中国四川省 2010 年至 2017 年的居民家庭 CO 排放(HCEs)。构建了一个带有因素约束锥的 ZSG-DEA 模型,以将此类排放配额分配给省级下属城市,并考察其时空异质性。利用 Tapio 脱钩分析,进一步研究了区域经济绩效与 HCEs 之间的关系。结果表明,四川省的 HCEs 先增后减,在 2015 年达到 6960 万吨的峰值。HCEs 的结构从 2010 年到 2017 年由煤炭主导转变为石油主导。消费相关部门的间接排放占总 HCEs 的 60%,包括食品、交通、通讯和住宿。经济规模最大的省会成都,在总家庭 CO 排放中占据主导地位,而以重工业为主的攀枝花市,人均 HCEs 最高。Tapio 脱钩结果表明,以成都为首的七个城市具有较强的脱钩状态,表明这些城市在经济增长与 HCEs 减排之间的权衡中表现良好。这些结果表明,HCEs 以城市化程度较高的城市为中心存在头部效应,但 CO 排放减少与经济发展之间存在良性循环。鉴于 HCEs 的时空异质性,制定有针对性的减排政策是促进绿色转型的关键。

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