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循环经济视角下原生和再生资源消费的动态分析
引用本文:郭庭政,段宁,武春友.循环经济视角下原生和再生资源消费的动态分析[J].中国人口.资源与环境,2010,20(4).
作者姓名:郭庭政  段宁  武春友
作者单位:1. 大连理工大学管理学院,辽宁,大连,116023;中国环境科学研究院国家环境保护生态工业重点实验室,北京,100012
2. 中国环境科学研究院国家环境保护生态工业重点实验室,北京,100012
3. 大连理工大学管理学院,辽宁,大连,116023
基金项目:国家科技支撑计划,水专项 
摘    要:从循环经济视角出发,聚焦这种新经济模式下原生资源和再生资源的动态关系,以世界铅资源为实证对象,利用1974-2006年世界铅资源的相关时间序列数据组织样本,基于协整关系分析构建VAR模型,在VAR模型框架下研究原生铅产量和再生铅产量对来自不同冲击的脉冲响应函数和方差分解。研究结果表明:原生铅产量、再生铅产量与铅消费总量之间存在着一个协整关系。这意味着在当前经济系统中,对铅资源是刚性需求,没有有效替代品,其供给的途径只有原生铅和再生铅两种。另外,对于来自市场消费规模、原生和再生铅产量的变动冲击,再生铅所做出的响应比原生铅更富有弹性,这一结论可以很好的阐释为什么再生资源市场比原生资源市场波动大的现象。

关 键 词:原生资源  再生资源  VAR模型  脉冲响应分析  方差分解  

Dynamic Analysis of Consumption of Primary Resource and Secondary Resource Based on Circular Economy:An Empirical Study on World Lead
GUO Ting-zheng,DUAN Ning,WU Chun-you.Dynamic Analysis of Consumption of Primary Resource and Secondary Resource Based on Circular Economy:An Empirical Study on World Lead[J].China Polulation.Resources and Environment,2010,20(4).
Authors:GUO Ting-zheng  DUAN Ning  WU Chun-you
Abstract:Starting from the perspective of circular economy, the article focuses on the dynamic relationship between primary resource and secondary resource in the new economic mode. An empirical study on world lead has been completed by using the related time series data from 1974 to 2006 and a VAR (Vecter Autoregression estimation) model is constructed based on the co-integration analysis. Then under VAR framework, impulse response analysis and variance decomposition of primary lead production and secondary lead production from different impulses are conducted. The empirical results show that a co-integration relationship exists among primary lead production, secondary lead production and the total consumption of lead, which suggests that there is a rigid requirement for lead in current economic system and there is no substitutes except the only two supply ways: primary lead and secondary lead. In addition, facing the impact of change in consumption scale of market, production of primary and secondary lead, the response of secondary lead is of more elasticity than that of primary lead. This conclusion can be well explained why the secondary resource markets are often claimed to be more volatile than primary resource markets.
Keywords:primary resource  secondary resource  VAR model  impulse response analysis  variance decomposition  lead
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