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Assessing government spending efficiency and explaining inefficiency scores: DEA-bootstrap analysis in the case of Saudi Arabia

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  • Mohamed Nejib Ouertani
  • Nader Naifar
  • Hedi Ben Haddad

Abstract

The recent Saudi Arabia’s “Vision 2030” including the National Transformation Plan has renewed the debate on the efficiency of government spending. The aim of this paper was twofold. First, to measure the relative efficiency of Saudi Arabia’s public spending over the period 1988–2013 using non-parametric approach. Second, to explain the inefficiency scores using a DEA-Bootstrap analysis by incorporating environmental variables. The empirical results show that, on average, the public spending is inefficient, implying that Saudi Arabia can improve their performance on health, education and infrastructure without increasing spending. The empirical explanation of the inefficiency scores using a DEA-Bootstrap analysis shows that the unemployment and broad money negatively impact government expenditure mainly in the case of infrastructure and health. Our findings can be useful for policymakers in order to set out a structural adjustment plan to improve the efficiency level for education, health and infrastructure expenditures.

Suggested Citation

  • Mohamed Nejib Ouertani & Nader Naifar & Hedi Ben Haddad, 2018. "Assessing government spending efficiency and explaining inefficiency scores: DEA-bootstrap analysis in the case of Saudi Arabia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1493666-149, January.
    • Handle: RePEc:taf:oaefxx:v:6:y:2018:i:1:p:1493666
    DOI: 10.1080/23322039.2018.1493666
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    Citations

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    Cited by:

    1. Abiodun Adegboye & Olawale Daniel Akinyele, 2022. "Assessing the determinants of government spending efficiency in Africa," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    2. Anup Kumar Yadava & Yadawananda Neog, 2022. "Public Sector Performance and Efficiency Assessment of Indian States," Global Business Review, International Management Institute, vol. 23(2), pages 493-511, April.
    3. Martina Halaskova & Renata Halaskova & Viktor Prokop, 2018. "Evaluation of Efficiency in Selected Areas of Public Services in European Union Countries," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    4. Marius Sorin Dincă & Gheorghiţa Dincă & Maria Letiţia Andronic & Anna Maria Pasztori, 2021. "Assessment of the European Union’s Educational Efficiency," Sustainability, MDPI, vol. 13(6), pages 1-29, March.
    5. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    6. Asma Saeed & Zahoor Ul Haq & Javed Iqbal, 2024. "Investigating the Factors Affecting Research and Development Expenditure Efficiency in China and India," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2761-2771, March.
    7. Cheick Camara, 2023. "Gender Budgeting and Health Spending Efficiency in Indian States: A Staggered Difference-in-Differences Analysis," CERDI Working papers hal-04294262, HAL.
    8. Yue Wu & Dong-Shang Chang, 2024. "Decomposing the comprehensive efficiency of major cities into divisions on governance, ICT and sustainability: network slack-based measure model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    9. Gergana Mihaylova-Borisova & Presiana Nenkova, 2021. "DEA Efficiency Approach in Comparing Macroeconomic Performance of EU and Balkan Countries," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 42-62.
    10. Alliou S. Diarrassouba, 2021. "Inefficiency Factors in Basic Health Care Supply in Côte d’Ivoire: A Comparative Econometric Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(6), pages 1-46, June.
    11. Bowen Sun & Haibo Wang & Jaime Ortiz & Jun Huang & Can Zhao & Zelang Wang, 2022. "A Decomposed Data Analysis Approach to Assessing City Sustainable Development Performance: A Network DEA Model with a Slack-Based Measure," Sustainability, MDPI, vol. 14(17), pages 1-23, September.
    12. Zhen Liu & Trong Lam Vu & Thi Thu Hien Phan & Thanh Quang Ngo & Nguyen Ho Viet Anh & Ahmad Romadhoni Surya Putra, 2022. "Financial inclusion and green economic performance for energy efficiency finance," Economic Change and Restructuring, Springer, vol. 55(4), pages 2359-2389, November.

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