Public and Provincial Budget Analysis Using Data Envelopment Analysis and Bankruptcy Game Theory
Keywords:
Public budget, bankruptcy theory , trade-off , Data Envelopment Analysis (DEA)Abstract
The provincial budget is a part of the national public budget, with its policymaking, distribution, implementation, and oversight entrusted to the Provincial Planning and Development Councils. The rational allocation of provincial budget quotas is essential for improving the country's economic and social conditions. A bankruptcy game model for allocating provincial budget quotas has been introduced and developed using Data Envelopment Analysis (DEA) based on bankruptcy theory and Nash bargaining game theory. This model takes into account the existing inequalities among provinces. The findings indicate that some provinces receive a smaller share of the public budget, exacerbating the imbalance in provincial development due to disproportionate budget distribution. Notably, the demand for a larger share of the public budget is met for some more advantaged provinces. This study presents significant implications for regional development and the efforts to increase the budget for less advantaged provinces.
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References
Anand, U. (2024). A Study of Computer-Based Budgeting and Financial Planning in Electronics Organization. JLSDGR, 4(4), e03597. https://doi.org/10.47172/2965-730x.sdgsreview.v4.n04.pe03597
Makohon, V. (2023). State Wartime Budget: 2022. Herald of Kyiv National University of Trade and Economics, 148(2), 59-66. https://doi.org/10.31617/1.2023(148)06
Manea, M. I. (2023). Coordination of Communication Budget With Marketing Objectives in the Banking Sector. Valahian Journal of Economic Studies, 14(2), 73-86. https://doi.org/10.2478/vjes-2023-0017
Namazi, M., Nazemi, A., Namazi, N. R., & Moazzeni, E. (2023). Investigating Performance-based Budgeting and Performance Control in Iran's Executive Apparatus Using Balanced Scorecard Technique. Empirical Studies in Financial Accounting, 20(77), 37-72. https://doi.org/10.22054/qjma.2023.69417.2400
Niknam, M. (2023). Identifying and Explaining the Policy Propositions of the National Budget. Scientific Quarterly of Strategic Management Studies in National Defense, 31, 151-170. https://issk.sndu.ac.ir/article_3301_510db56e76ae4ae71645ed7a7b221c3e.pdf
Qashqai, K. (2018). Predicting Iran's Population by 2031 with an Emphasis on Migration Abroad. 12th International Conference on Psychology and Social Sciences, Karaj, Iran. https://civilica.com/doc/827020
Wang, W. J., & Chen, J. L. (2019). Study on initial carbon quotas allocation scheme for provincial regions in China: based on the perspective of responsibility and target, equity and efficiency. Management World, 35(03), 81-98. https://ideas.repec.org/a/bjx/jomwor/v2021y2021i3p91-103id163.html
Yang, F., & Lee, H. (2022). An innovative provincial CO2 emission quota allocation scheme for Chinese low-carbon transition. Technological Forecasting and Social Change, 182, 121823. https://doi.org/10.1016/j.techfore.2022.121823
Zhang, L., Song, Y., Liu, S., & Zhang, M. (2023). Analysis on China's provincial carbon emission quota allocation based on bankruptcy game. Environmental Impact Assessment Review, 103, 107287. https://doi.org/10.1016/j.eiar.2023.107287
Zhou, X., Niu, A., & Lin, C. (2023). Optimizing carbon emission forecast for modelling China's 2030 provincial carbon emission quota allocation. Journal of Environmental Management, 325, 116523. https://doi.org/10.1016/j.jenvman.2022.116523
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