Abstract
The assessment of the efficiency performance of the electricity sector has been the focus of attention of several studies, but there is a lack of scientific literature specifically addressing the financial performance of electric utilities during the period mainly impacted by the financial turmoil in the world’s financial markets. Hence, this paper is aimed at assessing the financial performance of regulated companies operating in the Portuguese electricity market from 2010 to 2014, a period particularly marked by the financial assistance provided to the Portuguese government. With this objective in mind, we propose a modelling framework which combines the use of the generalized method of moments estimation method with data envelopment analysis. The generalized method of moments estimation method allowed us to select the intrinsic corporate variables that were then used to assess the financial performance of electricity companies through the slacks-based measure model. In this framework, the return on equity, the leverage and the cash flow to total assets were selected as outputs, while the values of depreciations and amortizations to total assets have been regarded as inputs. Our findings suggest that both in 2010 and 2014 the majority of non-efficient companies should foster the investment in new fixed assets in order to become efficient. Additionally, in both periods, the majority of inefficient electricity companies should further increase their return on equity in order to become efficient, highlighting the role of this financial indicator in the explanation of financial efficiency. Moreover, in 2014, non-efficient companies are able to efficiently generate cash flows since almost no adjustments are required regarding the cash flow to total assets values attained for these companies. Finally, the need to promote leverage in order to increase financial performance is more evident in 2010 than in 2014, signalling the need to reduce the level of debt of these companies in this period.
Similar content being viewed by others
Notes
The retail electricity price corresponds to the price that is charged to the final consumer for the electricity produced, plus the margin on behalf of the retailer depending on the degree of competition in the market, plus the distribution and transmission network charges carried out by the Transmission System Operator (TSO) and the Distribution System Operator (DSO), and hence the regulated part of the sector, i.e. capital expenditure, which will reflect factors such as infrastructure costs, the design of the network, local factors (such as climate, geography, and environmental considerations), reliability standards, and cost of capital. The regulator generally determines the rate of return for the network operators and often the economic life of investments, which have implications on the capital costs of the system operator.
The wholesale electricity price reflects the costs of electricity generation, which include costs related to capital expenditure, fuels, including possible costs for environmental externalities (e.g. for CO2-allowances), and operation and maintenance costs.
The tariff deficit in Portugal represents a mismatch between the integral electricity tariff (which should cover energy, network, taxes, levies and other relevant costs) and the sum of the corresponding costs borne by energy utilities.
In fact, a high level of financial leverage can increase ROE, because it means a business is using the minimum possible amount of equity, instead relying on debt to fund its operations. As a result, the amount of equity in the denominator of the return on the equity equation is minimized. Therefore, if any profits are generated by funding activities with debt, these changes are added to the numerator in the equation, thereby increasing ROE, leading to the so-called financial leverage effect.
A capacity mechanism compensates the delivery of additional capacity in the electricity system in order to balance peak loads and be able to ensure security of supply.
References
Amendola A, Giordano F, Parrella ML, Restaino M (2017) Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction. Appl Stoch Models Bus Ind 33(4):355–368. https://doi.org/10.1002/asmb.2240
Arabi B, Munisamy S, Emrouznejad A (2015) A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs. Omega 51:29–37
Bai-Chen X, Ying F, Qian-Qian Q (2012) Does generation form influence environmental efficiency performance? an analysis of China’s power system. Appl Energy 96:261–271. https://doi.org/10.1016/j.omega.2014.08.006
Bandyopadhyay A, Barua NM (2016) Factors determining capital structure and corporate performance in India: studying the business cycle effects. Quart Rev Econ Finance 61:160–172. https://doi.org/10.1016/j.qref.2016.01.004
Barton J, Hansen TB, Pownall G (2010) Which performance measures do investors around the world value the most—And why? Account Rev 85(3):753–789. https://doi.org/10.2308/accr.2010.85.3.753
Bi GB, Song W, Zhou P, Liang L (2014) Does environmental regulation affect energy efficiency in China’s thermal power generation? empirical evidence from a slacks-based DEA model. Energy Policy 66:537–546. https://doi.org/10.1016/j.enpol.2013.10.056
Borozan D, Starcevic DP (2016) In Search of the new EU energy reforms: assessing the financial performance of the EU energy companies. In: Entrepreneurship, business and economics, vol 2, pp 231–246. Springer, Cham. https://doi.org/10.1007/978-3-319-27573-4
Capece G, Di Pillo F, Levialdi N (2013a) Measuring and comparing the performances of energy retail companies: firm strategies following the liberalization. Int J Energy Sect Manag 7(4):491–515. https://doi.org/10.1108/IJESM-01-2013-0002
Capece G, Di Pillo F, Levialdi N (2013b) The performance assessment of energy companies. APCBEE Procedia 5:265–270. https://doi.org/10.1016/j.apcbee.2013.05.046
Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6):429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Cooper WW, Seiford LM, Tone K (2007) A comprehensive text with models, applications, references and DEA-solver software. Springer, Berlin. https://doi.org/10.1007/978-0-387-45283-8
Ding S, Guariglia A, Knight J (2013) Investment and financing constraints in China: does working capital management make a difference? J Bank Finance 37(5):1490–1507. https://doi.org/10.1016/j.jbankfin.2012.03.025
Eichenbaum M, Rebelo S, de Resende C (2016) The Portuguese crisis and the IMF. IEO Background Paper No. BP/16-02/05. International Monetary Fund, Washington. https://www.imf.org/ieo/files/completedevaluations/EAC__BP_16-02_05_The_Portuguese_Crisis_and_the_IMF%20v2.PDF. Accessed 25 May 2019
Enqvist J, Graham M, Nikkinen J (2014) The impact of working capital management on firm profitability in different business cycles: evidence from Finland. Res Int Bus Finance 32:36–49. https://doi.org/10.1016/j.ribaf.2014.03.005
European Commission (2014) The economic adjustment programme for Portugal—tenth review. Eur Econ Occas Pap 171:1–140. https://doi.org/10.2765/73274
Ewertowska A, Galán-Martín A, Guillén-Gosálbez G, Gavaldá J, Jiménez L (2016) Assessment of the environmental efficiency of the electricity mix of the top European economies via data envelopment analysis. J Clean Prod 116:13–22. https://doi.org/10.1016/j.jclepro.2015.11.100
Fan LW, Pan SJ, Liu GQ, Zhou P (2017) Does energy efficiency affect financial performance? evidence from Chinese energy-intensive firms. J Clean Prod 151:53–59. https://doi.org/10.1016/j.jclepro.2017.03.044
Fisher KL, Statman M (2003) Consumer confidence and stock returns. J Portf Manag 30(1):115–127
Forbes KJ (2002) How do large depreciations affect firm performance? IMF Staff Papers 49(1):214–238
Gómez-Calvet R, Conesa D, Gómez-Calvet AR, Tortosa-Ausina E (2014) Energy efficiency in the European Union: what can be learned from the joint application of directional distance functions and slacks-based measures? Appl Energy 132:137–154. https://doi.org/10.1016/j.apenergy.2014.06.053
Guerra-Mota M, Aquino T, Soares I (2018a) European electricity utilities managing energy transition challenges. Environ Dev Sustain 20(1):213–230. https://doi.org/10.1007/s10668-018-0170-7
Guerra-Mota M, Aquino TC, Soares I (2018b) Financial crisis: understanding effects on European electric utilities performance. Int J Sustain Energy Plan Manag 18:53–68. https://doi.org/10.5278/ijsepm.2018.18.4
Halkos GE, Polemis ML (2018) The impact of economic growth on environmental efficiency of the electricity sector: a hybrid window DEA methodology for the USA. J Environ Manag 211:334–346. https://doi.org/10.1016/j.jenvman.2018.01.067
Henriques CO, da Silva PP, Coelho D (2012) Two decades of economic policy-making in Portugal: revisiting the energy arena in the wake of a recession. In: Portugal: economic, political and social issues, ed. Gonçalves, A. e Vieira, A, pp 25–60
Iwata H, Okada K (2011) How does environmental performance affect financial performance? evidence from Japanese manufacturing firms. Ecol Econ 70(9):1691–1700. https://doi.org/10.1016/j.ecolecon.2011.05.010
Jin Y, Luo M, Wan C (2018) Financial constraints, macro-financing environment and post-crisis recovery of firms. Int Rev Econ Finance 55:54–67. https://doi.org/10.1016/j.iref.2018.01.007
Korhonen PJ, Luptacik M (2004) Eco-efficiency analysis of power plants: an extension of data envelopment analysis. Eur J Oper Res 154(2):437–446. https://doi.org/10.1016/S0377-2217(03)00180-2
Kroes JR, Manikas AS (2014) Cash flow management and manufacturing firm financial performance: a longitudinal perspective. Int J Prod Econ 148:37–50. https://doi.org/10.1016/j.ijpe.2013.11.008
Lains P (2018) Convergence, divergence and policy: Portugal in the European Union. West Eur Polit 42:1–22. https://doi.org/10.1080/01402382.2018.1522833(article in press)
Lannelongue G, Gonzalez-Benito J, Gonzalez-Benito O (2015) Input, output, and environmental management productivity: effects on firm performance. Bus Strategy Environ 24(3):145–158. https://doi.org/10.1002/bse.1806
Linden AJ, Kalantzis F, Maincent E, Pienkowski J (2014) Electricity tariff deficit: temporary or permanent problem in the EU? Econ Pap 534:1–68. https://doi.org/10.2765/71426
Liu C, Uchida K, Yang Y (2012) Corporate governance and firm value during the global financial crisis: evidence from China. Int Rev Financ Anal 21:70–80. https://doi.org/10.1016/j.irfa.2011.11.002
Makridou G, Doumpos M, Galariotis E (2019) The financial performance of firms participating in the EU emissions trading scheme. Energy Policy 129:250–259. https://doi.org/10.1016/j.enpol.2019.02.026
Margaritis D, Psillaki M (2010) Capital structure, equity ownership and firm performance. J Bank Finance 34(3):621–632. https://doi.org/10.1016/j.jbankfin.2009.08.023
Martani D, Khairurizka R, Khairurizka RJCBR (2009) The effect of financial ratios, firm size, and cash flow from operating activities in the interim report to the stock return. Chin Bus Rev 8(6):44–55
Miralles-Marcelo JL, del Mar Miralles-Quirós M, Lisboa I (2014) The impact of family control on firm performance: evidence from Portugal and Spain. J Fam Bus Strat 5(2):156–168. https://doi.org/10.1016/j.jfbs.2014.03.002
Munisamy S, Arabi B (2015) Eco-efficiency change in power plants: using a slacks-based measure for the meta-frontier Malmquist–Luenberger productivity index. J Clean Prod 105:218–232. https://doi.org/10.1016/j.jclepro.2014.12.081
Nataraja NR, Johnson AL (2011) Guidelines for using variable selection techniques in data envelopment analysis. Eur J Oper Res 215(3):662–669. https://doi.org/10.1016/j.ejor.2011.06.045
Neves MED (2018) Payout and firm’s catering. Int J Manag Finance 14(1):2–22. https://doi.org/10.1108/IJMF-03-2017-0055
Nicolli F, Vona F (2019) Energy market liberalization and renewable energy policies in OECD countries. Energy Policy 128:853–867. https://doi.org/10.1016/j.enpol.2019.01.018
Paun D (2017) Sustainability and financial performance of companies in the energy sector in Romania. Sustainability 9(10):1722. https://doi.org/10.3390/su9101722
Platonova E, Asutay M, Dixon R, Mohammad S (2018) The impact of corporate social responsibility disclosure on financial performance: evidence from the GCC Islamic banking sector. J Bus Ethics 151(2):451–471. https://doi.org/10.1007/s10551-016-3229-0
Pollitt M (2009a) Evaluating the evidence on electricity reform: lessons for the South East Europe (SEE) market. Util Policy 17(1):13–23. https://doi.org/10.1016/j.jup.2008.02.006
Pollitt MG (2009b) Electricity liberalisation in the European Union: a progress report. EPRG Working Paper no 0929. In: Cambridge working paper in economics. https://www.repository.cam.ac.uk/bitstream/handle/1810/229366/0953&EPRG0929.pdf?sequence=2. Accessed 25 May 2019
Pollitt MG (2012) The role of policy in energy transitions: lessons from the energy liberalisation era. Energy Policy 50:128–137. https://doi.org/10.1016/j.enpol.2012.03.004
Psillaki M, Daskalakis N (2009) Are the determinants of capital structure country or firm specific? Small Bus Econ 33(3):319–333. https://doi.org/10.1007/s11187-008-9103-4
Ruggiero S, Lehkonen H (2017) Renewable energy growth and the financial performance of electric utilities: a panel data study. J Clean Prod 142:3676–3688. https://doi.org/10.1016/j.jclepro.2016.10.100
Song H, Zhao C, Zeng J (2017) Can environmental management improve financial performance: an empirical study of A-shares listed companies in China. J Clean Prod 141:1051–1056. https://doi.org/10.1016/j.jclepro.2016.09.105
Subramanyam T (2016) Selection of input–output variables in data envelopment analysis—Indian commercial banks. Int J Comput Math Sci 5(6):51–57
Sueyoshi T, Goto M (2011) DEA approach for unified efficiency measurement: assessment of Japanese fossil fuel power generation. Energy Econ 33(2):292–303. https://doi.org/10.1016/j.eneco.2010.07.008
Sueyoshi T, Goto M (2013) DEA environmental assessment in a time horizon: Malmquist index on fuel mix, electricity and CO2 of industrial nations. Energy Econ 40:370–382. https://doi.org/10.1016/j.eneco.2013.07.013
Sueyoshi T, Goto M (2018) Environmental assessment on energy and sustainability by data envelopment analysis. Wiley, New York
Tao Y, Zhang S (2013) Environmental efficiency of electric power industry in the Yangtze River Delta. Math Comput Model 58(5–6):927–935. https://doi.org/10.1016/j.mcm.2012.10.025
Tone K (2001) On returns to scale under weight restrictions in data envelopment analysis. J Prod Anal 16(1):31–47. https://doi.org/10.1023/A:1011147118637
Tone K, Tsutsui M (2011) Applying an efficiency measure of desirable and undesirable outputs in DEA to US electric utilities. J CENTRUM Cathedra 4(2):236–249. https://doi.org/10.7835/jcc-berj-2011-0061
Trujillo-Ponce A (2013) What determines the profitability of banks? evidence from Spain. Account Finance 53(2):561–586. https://doi.org/10.1111/j.1467-629X.2011.00466.x
Vahlenkamp T, Leger S, Bauer K, Enkvist PA, Puzderca O, Purta M, Tryggestad C, Volpin A (2014) Beyond the storm—value growth in the EU power sector, Mc Kinsey. http://www.mckinsey.com/industries/electric-power-and-natural-gas/our-insights. Accessed 25 May 2019
Vaninsky AY (2008) Environmental efficiency of electric power industry of the United States: a data envelopment analysis approach. In Proceedings of world academy of science, engineering and technology, vol 30, pp 584–590
Vieira E, Neves E, Dias A (2019) Determinants of Portuguese firms’ financial performance: panel data evidence. Int J Prod Perform Manag 1:11. https://doi.org/10.1108/IJPPM-06-2018-0210
Wu J, Xiong B, An Q, Zhu Q, Liang L (2015) Measuring the performance of thermal power firms in China via fuzzy enhanced Russell measure model with undesirable outputs. J Clean Prod 102:237–245. https://doi.org/10.1016/j.jclepro.2015.04.095
Xian X, Haizhong A (2018) Research on energy stock market associated network structure based on financial indicators. Phys A Stat Mech Appl 490(20):1309–1323. https://doi.org/10.1016/j.physa.2017.08.114
Yang CH, Chen KH (2009) Are small firms less efficient? Small Bus Econ 32(4):375–395. https://doi.org/10.1007/s11187-007-9082-x
Zhang N, Kim JD (2014) Measuring sustainability by energy efficiency analysis for Korean power companies: a sequential slacks-based efficiency measure. Sustainability 6(3):1414–1426. https://doi.org/10.3390/su6031414
Zhang Y, Zhang Y, Shen D, Zhang W (2017) Investor sentiment and stock returns: evidence from provincial TV audience rating in China. Physica A 466:288–294. https://doi.org/10.1016/j.physa.2016.09.043
Zhou P, Ang BW, Wang H (2012) Energy and CO2 emission performance in electricity generation: a non-radial directional distance function approach. Eur J Oper Res 221(3):625–635. https://doi.org/10.1016/j.ejor.2012.04.022
Acknowledgements
This work was partially supported by the European Regional Development Fund in the framework of COMPETE 2020 Programme through Project UID/MULTI/00308/2019, the FCT Portuguese Foundation for Science and Technology within Project T4ENERTEC (POCI-01-0145-FEDER-029820) and the European Regional Development Fund and Programa Operacional Regional do Centro e do Programa Operacional Regional de Lisboa through Project No. 023651, Learn2Behave (IIA—02/SAICT/2016).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Neves, M.E., Henriques, C. & Vilas, J. Financial performance assessment of electricity companies: evidence from Portugal. Oper Res Int J 21, 2809–2857 (2021). https://doi.org/10.1007/s12351-019-00504-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12351-019-00504-1