Influencing factors of carbon emissions in Hebei Province based on the STIRPAT and decoupling models

被引：1
|
作者：
Yang M. [1 ]
Chen K. [1 ]
机构：
[1] School of Business Administration, Northeastern University, Shenyang
来源：
Yang, Mo (spring2112002@aliyun.com) | 1600年 / Northeast University卷 / 38期
关键词：
Carbon emission; Decoupling model; Factor analysis; GM; (1; 1); Influencing factor; STIRPAT model;
D O I：
10.3969/j.issn.1005-3026.2017.02.030
中图分类号：
学科分类号：
摘要：
The decoupling state of Hebei Province from 2007 to 2014 was analyzed by using the decoupling model, and the results showed that the decoupling state has changed from the growing coupling to the weak decoupling, which finally realizes the strong decoupling in volatility. The influencing factors of carbon emission in Hebei Province were analyzed by using the STIRPAT model, and the carbon emission of 2015-2022 in Hebei Province was predicted by using the grey model GM (1, 1). The results showed: industrial structure has the biggest influence on carbon emission; coal consumption, per capita GDP, urban population proportion and overall population have promoting effect on carbon emission, while energy price and expenditure on R&D have a small influence coefficient on carbon emission; and energy structure and energy intensity have a certain inhibitory effect on carbon emission. The prediction results from the GM (1, 1) model showed that Hebei Province should pay greater attention to the development trend of carbon emission, face the pressure of low carbon development, and achieve low carbon economy in Hebei Province by adjusting all the influencing factors. © 2017, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：300 / 304
页数：4
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