Regional analysis across Colombian departments: a non-parametric study of energy use

被引:13
|
作者
Pardo Martinez, Clara Ines [1 ,3 ]
Alfonso Pina, William H. [2 ]
机构
[1] Univ Rosario, Sch Adm, Bogota, Colombia
[2] Univ Rosario, Fac Sci Policy & Govt, Urban Dev & Management, Ekist, Bogota, Colombia
[3] Colombian Observ Sci & Technol OCyT, Bogota, Colombia
关键词
Colombian departments; Energy use; Data envelopment analysis; Panel data models; PRODUCTIVITY GROWTH; CARBON EMISSIONS; USE EFFICIENCY; DEA; INTENSITY; INDUSTRY; SPECIFICATION; CONSUMPTION; SECTOR; TESTS;
D O I
10.1016/j.jclepro.2015.12.019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The analysis of energy use is important in emerging economies and especially in the manufacturing industries, as energy is a key factor of sustainable development. This research analyses and evaluates the features of regional energy use and efficiency across Colombian departments in the manufacturing industries for the period between 2005 and 2013 by applying two Malmquist data envelopment analysis models. The results indicate significant difference in energy use and efficiency across Colombian departments in the manufacturing industries. The results of the Malmquist indexes determine that various manufacturing industries across Colombian departments have a high potential to increase energy efficiency. Several manufacturing industries across Colombian departments have experienced gains in productivity, a growth in efficiency, an improvement in the relationship between inputs and outputs and scale production and advances in innovation through new technologies. This technique allows to make comparisons and improves energy policies to increase energy efficiency and decrease CO2 emissions. The application of panel data models indicate that increases in energy prices, exports and productivity lead to better energy use, while a higher presence of energy intensive sectors and small and medium enterprises across Colombian departments reduce energy efficiency. The methods selected in this research generated consistent, robust and reliable estimates related to energy use and CO2 emissions for regional studies. The findings of this study indicate that diverse energy policies should implement in the industrial sector across Colombian departments and that they should contribute to impiovements in energy use, especially in small and medium companies and energy intensive sectors. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:130 / 138
页数:9
相关论文
共 50 条
  • [21] Lottery Spending: A Non-Parametric Analysis
    Garibaldi, Skip
    Frisoli, Kayla
    Ke, Li
    Lim, Melody
    PLOS ONE, 2015, 10 (02):
  • [22] PARAMETRIC VERSUS NON-PARAMETRIC COMPLEX IMAGE ANALYSIS
    Singh, Jagmal
    Soccorsi, Matteo
    Datcu, Mihai
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 1311 - 1314
  • [23] Orthogonal moment features for use with parametric and non-parametric classifiers
    Bailey, RR
    Srinath, M
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1996, 18 (04) : 389 - 399
  • [24] Analysis of parametric and non-parametric option pricing models
    Luo, Qiang
    Jia, Zhaoli
    Li, Hongbo
    Wu, Yongxin
    HELIYON, 2022, 8 (11)
  • [25] The effect of corruption on FDI: A parametric and non-parametric analysis
    Barassi, Marco R.
    Zhou, Ying
    EUROPEAN JOURNAL OF POLITICAL ECONOMY, 2012, 28 (03) : 302 - 312
  • [26] Software reliability analysis using parametric and non-parametric
    Aljahdali, S
    Sheta, A
    Habib, M
    COMPUTERS AND THEIR APPLICATIONS, 2003, : 63 - 66
  • [27] Non-parametric analysis of equity arbitrage
    Vortelinos, Dimitrios I.
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2014, 33 : 199 - 216
  • [28] A cautionary note on the use of non-parametric tests in the Analysis of Environmental Data
    Modarres, R
    Gastwirth, JL
    Ewens, W
    ENVIRONMETRICS, 2005, 16 (04) : 319 - 326
  • [29] Cognitive heuristics in borderline personality disorder across treatment: A longitudinal non-parametric analysis
    Kramer, Ueli
    Golam, Mehdi
    JOURNAL OF CLINICAL PSYCHOLOGY, 2019, 75 (07) : 1320 - 1331
  • [30] Getis' non-parametric approach to spatial data analysis, with application to regional unemployment dynamics
    Formanek, Tomas
    Husek, Roman
    MATHEMATICAL METHODS IN ECONOMICS (MME 2018), 2018, : 92 - 97