[1]李 翠,王海静,徐 晔*.我国制造业升级对能源消费结构影响的实证研究——基于制造业30个行业面板数据的门槛模型分析[J].江西师范大学学报(自然科学版),2018,(01):23-30.[doi:10.16357/j.cnki.issn1000-5862.2018.01.05 ]
　LI Cui,WANG Haijing,XU Ye*.The Empirical Study about the Impact of the China's Manufacturing Industry Upgrading on the Energy Consumption Structure——The Threshold Model Based on 30 Manufacturing Industry's Panel Data[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(01):23-30.[doi:10.16357/j.cnki.issn1000-5862.2018.01.05 ]
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我国制造业升级对能源消费结构影响的实证研究——基于制造业30个行业面板数据的门槛模型分析()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2018年01期
页码:
23-30
栏目:
数量经济学
出版日期:
2018-02-20

文章信息/Info

Title:
The Empirical Study about the Impact of the China's Manufacturing Industry Upgrading on the Energy Consumption Structure——The Threshold Model Based on 30 Manufacturing Industry's Panel Data
文章编号:
1000-5862(2018)01-0023-08
作者:
李 翠; 王海静; 徐 晔*
江西财经大学统计学院,江西 南昌 330013
Author(s):
LI Cui;  WANG Haijing;  XU Ye*
School of Statistics, Jiangxi University of Finance and Economics, Nanchang Jiangxi 330013,China
关键词:
制造业升级;  能源消费结构;  门槛模型
Keywords:
manufacturing industry upgrading;  energy consumption structure;  threshold model
分类号:
F 224.0
DOI:
10.16357/j.cnki.issn1000-5862.2018.01.05
文献标志码:
A
摘要:
选取制造业30个细分行业2005—2011年的数据,从制造业结构优度和价值链高度2个维度出发,构造产业结构升级指标,建立STIRPAT模型,并在此基础上分别以企业规模和人力资本为门槛变量,建立制造业升级与能源消费结构的动态面板门槛模型,深入探究2者之间的非线性关系.研究发现:制造业升级对能源消费结构的影响程度最大,并且2者之间存在显著的双重门槛效应.当企业规模小于14.292或大于17.353时,制造业升级能够显著改善能源消费结构,而当企业规模介于14.292～17.353时,制造业升级却增加了煤炭消费量,从而恶化了能源消费结构; 当以人力资本为门槛变量时所测得的门槛值分别为0.015和0.070,并且企业人力资本投入力度越大,制造业升级对改善能源消费结构存在的积极作用越明显.最后,据此提出了加大产业技术投资比例,适度扩大企业规模及提高人力资本水平的政策建议.
Abstract:
By using the data of 30 manufacturing industry segments during 2005—2011 year,the industrial structure upgrading index is constructed and the STIRPAT model from the perspective of the manufacturing industry structure and the value chain are established.Then a dynamic panel threshold model is made about the manufacturing industry upgrading and energy consumption structure with the scale of the enterprise and human capital as the threshold variable,further researching the nonlinear relationship between of them.The study finds that the upgrading of the manufacturing industry has the greatest impact on the energy consumption structure,and there is a significant double threshold effect between of them.When the enterprise scale is smaller than 14.292 or greater than 17.353,manufacturing industry upgrade can significantly improve the energy consumption structure, and when the enterprise scale ranged from 14.292～17.353,the upgrading of the manufacturing industry increases the coal consumption unexpectedly, then worsening the energy consumption structure.Taking human capital as the threshold variable,the threshold values are 0.015 and 0.070,enterprise human capital investment is larger,the impact of the manufacturing industry upgrading on improve the energy consumption structure is more obvious.Finally,some relative policy recommendations,such as increasing the proportion of industrial technology investment,appropriately expanding the scale of enterprises and improving the level of human capital,are put forward according to our research results.

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备注/Memo

备注/Memo:
收稿日期:2017-06-20
基金项目:国家自然科学基金(71273122,71473109)和教育部人文社会科学课题(15YJA630079)资助项目.
通信作者:徐 晔(1962-),女,江西南昌人,教授,博士生导师,主要从事数量经济学研究.E-mail:xuye_525@163.com
更新日期/Last Update: 2018-02-20