文献类型：期刊文献

英文题名：Dynamics of material productivity and socioeconomic factors based on auto-regressive distributed lag model in China

作者：Wang, Tao[1];Yu, Yadong[2];Zhou, Wenji[3];Liu, Bomin[1];Chen, Dingjiang[1];Zhu, Bing[1,4]

机构：[1]Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China;[2]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[3]Petr Co Ltd, China Natl Aviat Fuel Grp, Beijing 100088, Peoples R China;[4]Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria

年份：2016

卷号：137

起止页码：752

外文期刊名：JOURNAL OF CLEANER PRODUCTION

收录：;EI(收录号：20164202905911);WOS:【SSCI(收录号:WOS:000391079300066)，SCI-EXPANDED(收录号:WOS:000391079300066)】；

基金：The authors are thankful for support from the National Key Technology R&D Program of China (No. 2012BAC03B01) and the Natural Science Foundation of China (No. 71161140354).

语种：英文

外文关键词：Material productivity; Socioeconomic factors; ARDL (auto-regressive distributed lag); China

摘要：Material productivity (MP), measured as economic output (such as Gross Domestic Product, GDP) per corresponding material input, is gained significant interest of becoming a widespread environmental sustainability indicator. The study of MP's dynamics is very important for policy-making on how to improve MP. This paper applies the auto-regressive distributed lag (ARDL) model to investigate the dynamic impacts of energy intensity for secondary industry (SEI), tertiary industry value added per GDP (TVA), trade openness (TO) and domestic extraction per capita (DEC) on MP in the case of China during the period from 1980 to 2010. The validated and robust results of the model confirm the existence of cointegration among the variables both in the long and short run. The impacts of selected socioeconomic factors can be summarized as follows: 1) In the long run, an SEI decrease driven by technology improvement is found to be the main driver of MP, and a 1% decrease in SEI results in a 0.432% increase in MP; 2) The magnitude of the impact of TVA on MP is higher over the short run than over the long run; 3) TO can reluctantly promote MP both in the long and short run; 4) DEC exhibits fundamentally different behaviors in the long and short run. DEC is not a strongly significant factor for MP, and the magnitude of the impact is very weak in the long run. However, it has the greatest negative impact on MP in the short run, as a 1% increase in DEC results in a 0.519% decrease in MP, which demonstrates that the marginal revenue of resource input has already dramatically declined. These insights from the study could be considerably helpful for sustainable resource management and material productivity enhancement (C) 2016 Elsevier Ltd. All rights reserved.