Electricity market liberalization and efficiency: evidence from Singapore

Since 1995 Singapore has launched a series of reforms to liberalize its electricity market. More participants are introduced both in the power generation side as well as wholesale and retail markets to facilitate competition and promote efficiency. This paper aims to examine the efficiency of Singap...

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Main Authors: Feng, Qu, Zhou, Shihao
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/164319
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1643192023-03-05T15:32:53Z Electricity market liberalization and efficiency: evidence from Singapore Feng, Qu Zhou, Shihao School of Social Sciences Social sciences::Economic theory Market Liberalization Electricity Market Since 1995 Singapore has launched a series of reforms to liberalize its electricity market. More participants are introduced both in the power generation side as well as wholesale and retail markets to facilitate competition and promote efficiency. This paper aims to examine the efficiency of Singapore's electricity market by detecting exceptionally high electricity prices as outliers. In particular, we first propose a dynamic regression model that accounts for market demand and supply, production cost, as well as time effects. Based on the regression, an upper bound is then constructed for the identification of outliers. Using a unique data set from 2003 to 2019, we find fewer outliers over time, indicating that Singapore's electricity market becomes more efficient in recent years. We obtain consistent results by incorporating alternative model specifications such as hybrid model and Least Absolute Shrinkage and Selection Operator (LASSO). The results are also robust to different subsamples and data frequencies. In addition, a more comprehensive set of criterions for model selection is also proposed in this paper. Ministry of Education (MOE) Submitted/Accepted version Financial support from the MOE AcRF Tier 1 Grant M4012113 (RG162/18) at Nanyang Technological University is gratefully acknowledged. 2023-01-16T04:14:46Z 2023-01-16T04:14:46Z 2022 Journal Article Feng, Q. & Zhou, S. (2022). Electricity market liberalization and efficiency: evidence from Singapore. Singapore Economic Review. https://dx.doi.org/10.1142/S0217590822500667 0217-5908 https://hdl.handle.net/10356/164319 10.1142/S0217590822500667 2-s2.0-85143712063 en M4012113 (RG162/18) Singapore Economic Review Electronic version of an article published as Singapore Economic Review, 2022 https://doi.org/10.1142/S0217590822500667 @ copyright World Scientific Publishing Company https://www.worldscientific.com/doi/10.1142/S0217590822500667. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Economic theory
Market Liberalization
Electricity Market
spellingShingle Social sciences::Economic theory
Market Liberalization
Electricity Market
Feng, Qu
Zhou, Shihao
Electricity market liberalization and efficiency: evidence from Singapore
description Since 1995 Singapore has launched a series of reforms to liberalize its electricity market. More participants are introduced both in the power generation side as well as wholesale and retail markets to facilitate competition and promote efficiency. This paper aims to examine the efficiency of Singapore's electricity market by detecting exceptionally high electricity prices as outliers. In particular, we first propose a dynamic regression model that accounts for market demand and supply, production cost, as well as time effects. Based on the regression, an upper bound is then constructed for the identification of outliers. Using a unique data set from 2003 to 2019, we find fewer outliers over time, indicating that Singapore's electricity market becomes more efficient in recent years. We obtain consistent results by incorporating alternative model specifications such as hybrid model and Least Absolute Shrinkage and Selection Operator (LASSO). The results are also robust to different subsamples and data frequencies. In addition, a more comprehensive set of criterions for model selection is also proposed in this paper.
author2 School of Social Sciences
author_facet School of Social Sciences
Feng, Qu
Zhou, Shihao
format Article
author Feng, Qu
Zhou, Shihao
author_sort Feng, Qu
title Electricity market liberalization and efficiency: evidence from Singapore
title_short Electricity market liberalization and efficiency: evidence from Singapore
title_full Electricity market liberalization and efficiency: evidence from Singapore
title_fullStr Electricity market liberalization and efficiency: evidence from Singapore
title_full_unstemmed Electricity market liberalization and efficiency: evidence from Singapore
title_sort electricity market liberalization and efficiency: evidence from singapore
publishDate 2023
url https://hdl.handle.net/10356/164319
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