中国物质资源消费区域差异的测度及分析

傅一珂; 陈定江; 朱兵; 胡山鹰

doi:10.16511/j.cnki.qhdxxb.2019.22.031

清华大学学报（自然科学版） >

2020 , Vol. 60 >Issue 7: 611 - 616

DOI: https://doi.org/10.16511/j.cnki.qhdxxb.2019.22.031

化学与化学工程

中国物质资源消费区域差异的测度及分析

傅一珂 ,
陈定江 ,
朱兵 ,
胡山鹰

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1. 清华大学化学工程系, 生态工业研究中心, 北京 100084;
2. 清华大学循环经济研究院, 北京 100084

收稿日期: 2019-04-19

网络出版日期: 2020-06-04

基金资助

陈定江,副教授,E-mail:chendj@tsinghua.edu.cn

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Measurement and analyses of regional differences in material consumption in China

FU Yike ,
CHEN Dingjiang ,
ZHU Bing ,
HU Shanying

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1. Center for Industrial Ecology, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China;
2. Institute of Circular Economy, Tsinghua University, Beijing 100084, China

Received date: 2019-04-19

Online published: 2020-06-04

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摘要

区域资源环境不平衡是中国发展面临的突出问题之一。该文基于修正的原始资源消耗当量的测算结果和Gini系数法，对2010-2015年中国人均物质资源消耗的区域不平衡进行了测度和空间分解，并比较了物质资源消耗、温室气体排放和GDP在区域分布、不平衡模式上的异同。结果表明：中国人均物质资源消耗和温室气体排放的区域不平衡模式有一定相似性，组内差异和组间差异对Gini系数的贡献率均为25%~30%；但与中国GDP和全球温室气体的不平衡模式有显著差异。

关键词： 物质资源消耗; 区域差异; Gini系数

本文引用格式

傅一珂 , 陈定江 , 朱兵 , 胡山鹰 . 中国物质资源消费区域差异的测度及分析[J]. 清华大学学报（自然科学版）, 2020 , 60(7) : 611 -616 . DOI: 10.16511/j.cnki.qhdxxb.2019.22.031

Abstract

The inequality of regional resources and environments is one of the most pressing problems for China's development. The adjusted raw material consumption method and the Gini coefficient were used to measure and spatially decompose the inequality in per capita material consumption, greenhouse gas emissions and GDP at the regional scale in China during 2010 to 2015. The paper also compared the material consumption with the greenhouse gas emissions and GDP at the regional level to identify inequality patterns. The results show that the inequality pattern of the per capita material consumption in China's provinces is similar to the per capita greenhouse gas emissions in China, where inter-regional and intra-regional components both contribute 25%-30% to the Gini coefficient. The results also show significant differences between China's GDP and global greenhouse gas emissions.

Key words： material consumption; regional difference; Gini coefficient

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