Performance analysis in renewable energy companies: application of SWARA and WASPAS methods

被引:1
|
作者
Erdogan, Hande [1 ]
Tutcu, Burcin [2 ]
Tala, Hasan [2 ]
Terzioglu, Mustafa [2 ]
机构
[1] Akdeniz Univ, Fac Appl Sci, Antalya, Turkey
[2] Akdeniz Univ, Korkuteli Vocat Sch, Accounting & Tax, Antalya, Turkey
关键词
Corporate finance; sustainable finance; responsible investment; sustainable development; financial inclusion; FINANCIAL PERFORMANCE; SELECTION; SUSTAINABILITY; IMPROVE; FIRMS;
D O I
10.1080/20430795.2022.2144107
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In the last decade, companies producing electricity from renewable energy sources in Turkey have gained momentum both quantitatively and qualitatively with the incentives carried out within the framework of the government's carbon emission reduction programs. In this study, the financial performances of companies in terms of financial ratios of SWARA and WASPAS, which are multi-criteria decision-making techniques used in the field of numerical methods, were tried to be measured. In terms of scope, the financial performances of four renewable energy companies listed on Borsa Istanbul Stock Market were analysed for three years between the years 2018 and 2020. In the findings obtained by applying the SWARA technique of the study, it was concluded that the most important factor determining the financial performance of companies that participated in the research is the financial leverage ratio. As a result of the data obtained from the WASPAS technique, it has been determined that the companies that produce electricity through a single renewable energy source are financially more successful than the companies that produce electrical energy through more than one renewable energy source.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Do subsidies improve the financial performance of renewable energy companies? Evidence from China
    Zhu, Zhishuang
    Liao, Hua
    NATURAL HAZARDS, 2019, 95 (1-2) : 241 - 256
  • [32] ANALYSIS OF TREND DYNAMICS IN RISK ASSESSMENT OF MULTINATIONAL COMPANIES IN THE RENEWABLE ENERGY SECTOR
    Rudancic, Andreja
    Akmacic, Marko
    Misevic, Petar
    9TH INTERNATIONAL SCIENTIFIC SYMPOSIUM REGION ENTREPRENEURSHIP DEVELOPMENT (RED 2020), 2020, : 1365 - 1376
  • [33] The performance of specialized and oriented diversified firms: A comparative analysis from the targeted expansion of renewable energy business of listed companies
    Lin, Boqiang
    Wang, Siquan
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2023, 89
  • [34] Application and performance analysis of 100% renewable energy systems serving low-density communities
    Chen, Xiaofei
    Xiao, Jinmei
    Yuan, Jiaqi
    Xiao, Ziwei
    Gang, Wenjie
    RENEWABLE ENERGY, 2021, 176 : 433 - 446
  • [35] Selection of candidates in the mining industry based on the application of the SWARA and the MULTIMOORA methods
    Karabasevic, Darjan
    Stanujkic, Dragisa
    Urosevic, Snezana
    Maksimovic, Mladjan
    ACTA MONTANISTICA SLOVACA, 2015, 20 (02) : 116 - 124
  • [36] Assessment and Prioritize Risk Factors of Financial Measurement of Management Control System for Production Companies Using a Hybrid Z-SWARA and Z-WASPAS with FMEA Method: A Meta-Analysis
    Rahmati, Sara
    Mahdavi, Mohammad Hossein
    Ghoushchi, Saeid Jafarzadeh
    Tomaskova, Hana
    Haseli, Gholamreza
    MATHEMATICS, 2022, 10 (02)
  • [37] Economic and environmental performance analysis of Polish energy companies
    Wlodarczyk, A.
    GLOBAL JOURNAL OF ENVIRONMENTAL SCIENCE AND MANAGEMENT-GJESM, 2019, 5 : 1 - 11
  • [38] Performance Analysis in the Renewable Energy Sector: the LASER Mission
    Carpineti, Andrea
    QUALITY-ACCESS TO SUCCESS, 2012, 13 (128): : 100 - 102
  • [39] Analysis of factors affecting sustainable performance in construction sites using fuzzy AHP-WASPAS methods
    Bathrinath, S.
    Mohan, S.
    Koppiahraj, K.
    Bhalaji, R. K. A.
    Santhi, B.
    MATERIALS TODAY-PROCEEDINGS, 2022, 62 : 3118 - 3121
  • [40] Achieving renewable energy transition through financial stability of renewable energy companies and banking facility
    Xiaobing Wu
    Environmental Science and Pollution Research, 2023, 30 : 120174 - 120187