Estimating and Analyzing Energy Efficiency in German and Colombian Manufacturing Industries Using DEA and Data Panel Analysis. Part I: Energy-intensive Sectors

被引:10
|
作者
Pardo Martinez, C. I. [1 ]
机构
[1] Univ Rosario, Sch Adm, Bogota, Colombia
关键词
data envelopment analysis; data panel analysis; energy efficiency; energy intensive sectors;
D O I
10.1080/15567249.2010.540625
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this article, data envelopment analysis (DEA) is employed to study the comparative performance of German and Colombian energy-intensive sectors between 1998 and 2005. The results of the DEA indicate that the great majority of energy-intensive sectors improved on this index during the sample period, demonstrating that energy input is an important variable within the production structure and a key element in technology development. At a second stage, regression analysis using panel data analysis reveals that several factors, including labor productivity, the share of electricity, investments and enterprise size can be considered determinants of differences in energy efficiency among German and Colombian energy-intensive sectors. Our results also show that different energy policies should apply, and that they should encourage the importance of energy efficiency in order to achieve a sustainable economic development and climate stabilization today and in the near future.
引用
收藏
页码:322 / 331
页数:10
相关论文
共 8 条
  • [1] 4 Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
    Pardo Martinez, C. I.
    ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2016, 11 (01) : 1 - 10
  • [2] Energy efficiency development in the German and Colombian energy intensive sectors: a non-parametric analysis
    Pardo M, C. I.
    ENERGY AND SUSTAINABILITY II, 2009, 121 : 511 - 523
  • [3] Energy efficiency development in German and Colombian non-energy-intensive sectors: a non-parametric analysis
    Clara Inés Pardo Martínez
    Energy Efficiency, 2011, 4 : 115 - 131
  • [4] Energy efficiency development in German and Colombian non-energy-intensive sectors: a non-parametric analysis
    Pardo Martinez, Clara Ines
    ENERGY EFFICIENCY, 2011, 4 (01) : 115 - 131
  • [5] Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries
    Ma, Shuaiyin
    Huang, Yuming
    Liu, Yang
    Liu, Haizhou
    Chen, Yanping
    Wang, Jin
    Xu, Jun
    APPLIED ENERGY, 2023, 349
  • [6] Assessment of profitability and efficiency of regulatory acts on energy-intensive industries: a panel data methodology and case study in India
    Prayas Sharma
    Anukriti Sharma
    Víctor Leiva
    Xavier Cabezas
    Carlos Martin-Barreiro
    Stochastic Environmental Research and Risk Assessment, 2023, 37 : 5009 - 5027
  • [7] Assessment of profitability and efficiency of regulatory acts on energy-intensive industries: a panel data methodology and case study in India
    Sharma, Prayas
    Sharma, Anukriti
    Leiva, Victor
    Cabezas, Xavier
    Martin-Barreiro, Carlos
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2023, 37 (12) : 5009 - 5027
  • [8] Estimating the Carbon Emissions of Remotely Sensed Energy-Intensive Industries Using VIIRS Thermal Anomaly-Derived Industrial Heat Sources and Auxiliary Data
    Kong, Xiaoyang
    Wang, Xianfeng
    Jia, Man
    Li, Qi
    REMOTE SENSING, 2022, 14 (12)