کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8071185 1521392 2018 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model
ترجمه فارسی عنوان
بررسی تأثیر عوامل موثر بر بهره وری انرژی در بخش صنعتی با استفاده از تحلیل خوشه ای و مدل رگرسیون پانل
کلمات کلیدی
بهره وری انرژی، بخش صنعتی، عوامل تاثیرگذار، آنالیز خوشه ای، مدل اثرات ثابت و ثابت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی
The various industrial sub-sectors in China should require differentiated policy measures on energy conservation and emission reduction. The existing literature lack comprehensive and in-depth investigation on the influencing factors of energy efficiency at the level of industrial sub-sectors. We aim to examine the disparities in energy efficiency and the driving factors of the energy efficiency among industrial sub-sectors. Using super-SBM, cluster analysis and panel regression model, we explore the effects of influencing factors on energy efficiency across the industrial sub-sectors, and examines the entity effects and dynamic evolving characteristics of energy efficiency in various sub-sectors in China from 2005 to 2011. The results indicate that, there indeed exist significant disparities in energy efficiency across the sub-sectors. In the entire industry, technological progress, energy consumption structure and enterprise scale are the determining factors, but marketization degree and labor productivity do not have significant effects. Meanwhile, obvious variations are found in the effects of influencing factors across sub-sectors with different energy efficiency levels. The entity effects and evolving characteristics of energy efficiency across the industrial sub-sectors, and the dynamic effects of the influencing factors on energy efficiency all have distinct variances. Diverse policy implications are presented to the industrial sub-sectors with different energy efficiency.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 158, 1 September 2018, Pages 782-795
نویسندگان
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