IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v72y2021icp549-561.html
   My bibliography  Save this article

Institutional efficiency and utility reform performance: An evidence from electricity performance in South & East Asia

Author

Listed:
  • Hao, Wu
  • Abbas, Qaiser
  • Ahmad, Ishtiaq
  • Alharthi, Majed
  • Hanif, Imran
  • Taghizadeh-Hesary, Farhad

Abstract

Electricity is one of the primary consumer utilities, while its efficiency is always questionable. This study investigated institutional efficiency with reforms to enhance electricity performance in South and East Asian countries. For this purpose, the study used a panel dataset of eight South and East Asian countries from 1995 to 2018. A two-stage least square and Bayesian Vector Autoregression (VAR) test was applied to estimate the results. According to the results, a fragile institutional framework is an essential factor that snubs the positive influence of any electricity reforms in the region. The findings also show that improvement in economic growth and the utilization of renewable energy rather than fossil fuels are significant factors that can improve institutional efficiency and ultimately highlight the positive role of electricity reforms. This study highlights possible reforms in electricity sectors, and institutional (direct or indirect) efficiency could be an essential factor in designing a policy framework to enhance the region’s electricity performance.

Suggested Citation

  • Hao, Wu & Abbas, Qaiser & Ahmad, Ishtiaq & Alharthi, Majed & Hanif, Imran & Taghizadeh-Hesary, Farhad, 2021. "Institutional efficiency and utility reform performance: An evidence from electricity performance in South & East Asia," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 549-561.
  • Handle: RePEc:eee:ecanpo:v:72:y:2021:i:c:p:549-561
    DOI: 10.1016/j.eap.2021.09.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592621001314
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2021.09.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zheng, Xuemei & Menezes, Flavio & Nepal, Rabindra, 2021. "In between the state and the market: An empirical assessment of the early achievements of China's 2015 electricity reform," Energy Economics, Elsevier, vol. 93(C).
    2. Trotta, Gianluca, 2018. "Factors affecting energy-saving behaviours and energy efficiency investments in British households," Energy Policy, Elsevier, vol. 114(C), pages 529-539.
    3. Hartley, Peter R. & Medlock, Kenneth B. & Jankovska, Olivera, 2019. "Electricity reform and retail pricing in Texas," Energy Economics, Elsevier, vol. 80(C), pages 1-11.
    4. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    5. Kaller, Alexander & Bielen, Samantha & Marneffe, Wim, 2018. "The impact of regulatory quality and corruption on residential electricity prices in the context of electricity market reforms," Energy Policy, Elsevier, vol. 123(C), pages 514-524.
    6. Dertinger, Andrea & Hirth, Lion, 2020. "Reforming the electric power industry in developing economies evidence on efficiency and electricity access outcomes," Energy Policy, Elsevier, vol. 139(C).
    7. Polemis, Michael L., 2017. "Capturing the impact of shocks on the electricity sector performance in the OECD," Energy Economics, Elsevier, vol. 66(C), pages 99-107.
    8. Sarangi, Gopal K. & Mishra, Arabinda & Chang, Youngho & Taghizadeh-Hesary, Farhad, 2019. "Indian electricity sector, energy security and sustainability: An empirical assessment," Energy Policy, Elsevier, vol. 135(C).
    9. Ek, Kristina, 2005. "Public and private attitudes towards "green" electricity: the case of Swedish wind power," Energy Policy, Elsevier, vol. 33(13), pages 1677-1689, September.
    10. Farole, Thomas, 2011. "Special Economic Zones: What Have We Learned?," World Bank - Economic Premise, The World Bank, issue 64, pages 1-5, September.
    11. Huaping Sun & Bless Kofi Edziah & Xiaoqian Song & Anthony Kwaku Kporsu & Farhad Taghizadeh-Hesary, 2020. "Estimating Persistent and Transient Energy Efficiency in Belt and Road Countries: A Stochastic Frontier Analysis," Energies, MDPI, vol. 13(15), pages 1-19, July.
    12. Ahmed, Tauqir & Bhatti, Arshad Ali, 2019. "Do power sector reforms affect electricity prices in selected Asian countries?," Energy Policy, Elsevier, vol. 129(C), pages 1253-1260.
    13. Antonio K. W. Lau & Stacy H. N. Lee & Sojin Jung, 2018. "The Role of the Institutional Environment in the Relationship between CSR and Operational Performance: An Empirical Study in Korean Manufacturing Industries," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Farhad Taghizadeh-Hesary & Ehsan Rasoulinezhad & Han Phoumin, 2022. "Ways to achieve universal access to sustainable electricity in Southeast Asia," Economic Change and Restructuring, Springer, vol. 55(4), pages 2031-2050, November.
    2. Fu Hua & Majed Alharthi & Weihua Yin & Muhammad Saeed & Ishtiaq Ahmad & Syed Ahtsham Ali, 2022. "Carbon Emissions and Socioeconomic Drivers of Climate Change: Empirical Evidence from the Logarithmic Mean Divisia Index (LMDI) Base Model for China," Sustainability, MDPI, vol. 14(4), pages 1-12, February.
    3. Ayyildiz, Ertugrul, 2022. "Fermatean fuzzy step-wise Weight Assessment Ratio Analysis (SWARA) and its application to prioritizing indicators to achieve sustainable development goal-7," Renewable Energy, Elsevier, vol. 193(C), pages 136-148.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohsin, Muhammad & Hanif, Imran & Taghizadeh-Hesary, Farhad & Abbas, Qaiser & Iqbal, Wasim, 2021. "Nexus between energy efficiency and electricity reforms: A DEA-Based way forward for clean power development," Energy Policy, Elsevier, vol. 149(C).
    2. Tiep, Nguyen Cong & Wang, Mengqi & Mohsin, Muhammad & Kamran, Hafiz Waqas & Yazdi, Farzaneh Ahmadian, 2021. "An assessment of power sector reforms and utility performance to strengthen consumer self-confidence towards private investment," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 676-689.
    3. Yongxiu He & Meiyan Wang & Fengtao Guang, 2019. "Applicability Evaluation of China’s Retail Electricity Price Package Combining Data Envelopment Analysis and a Cloud Model," Energies, MDPI, vol. 13(1), pages 1-21, December.
    4. Xin-gang, Zhao & Shu-ran, Hu, 2020. "Does market-based electricity price affect China's energy efficiency?," Energy Economics, Elsevier, vol. 91(C).
    5. Ying, Zhou & Xin-gang, Zhao & Zhen, Wang, 2020. "Demand side incentive under renewable portfolio standards: A system dynamics analysis," Energy Policy, Elsevier, vol. 144(C).
    6. Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
    7. Dr. Gregor Bäurle & Daniel Kaufmann, 2014. "Exchange rate and price dynamics in a small open economy - the role of the zero lower bound and monetary policy regimes," Working Papers 2014-10, Swiss National Bank.
    8. Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," European Economic Review, Elsevier, vol. 119(C), pages 333-355.
    9. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    10. Michal Franta, 2012. "Macroeconomic Effects of Fiscal Policy in the Czech Republic: Evidence Based on Various Identification Approaches in a VAR Framework," Working Papers 2012/13, Czech National Bank.
    11. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2020. "Choosing Prior Hyperparameters: With Applications to Time-Varying Parameter Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 124-136, January.
    12. Gary Koop & Dimitris Korobilis, 2019. "Forecasting with High‐Dimensional Panel VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 937-959, October.
    13. Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016. "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series WP-2016-5, Federal Reserve Bank of Chicago.
    14. Emmanuel Anyigbah & Yusheng Kong & Bless Kofi Edziah & Ahotovi Thomas Ahoto & Wilhelmina Seyome Ahiaku, 2023. "Board Characteristics and Corporate Sustainability Reporting: Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    15. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
    16. Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What's Up with the Phillips Curve?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 301-373.
    17. Chun-Hsi Vivian Chen & Yu-Cheng Chen, 2021. "Assessment of Enhancing Employee Engagement in Energy-Saving Behavior at Workplace: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    18. Hajargasht, Gholamreza & Rao, D.S. Prasada, 2019. "Multilateral index number systems for international price comparisons: Properties, existence and uniqueness," Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 36-47.
    19. Bansal, Ravi & Miller, Shane & Song, Dongho & Yaron, Amir, 2021. "The term structure of equity risk premia," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1209-1228.
    20. Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021. "A Large Bayesian VAR of the United States Economy," Staff Reports 976, Federal Reserve Bank of New York.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecanpo:v:72:y:2021:i:c:p:549-561. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.