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An unstoppable and navigating journey towards development reform in complex financial-economic systems: an interval analysis of government expenses (past, present, future)

    Enkeleda Lulaj   Affiliation

Abstract

Purpose – The world is facing unprecedented opportunities to improve welfare and reduce poverty, so every day more and more public spending is becoming important in every country. The purpose of the research was prompted by the questions of whether there were development reforms and what is the complexity that has evolved in each variable (WS, GS, EU, ST, CE, and TE) for the time interval 2007–2020. How and are governing bodies able to continuously drive growth for decades by being more efficient users of government spending planning in complex financial and economic systems? Therefore, this paper aims to understand and advance by bringing a new approach to unstoppable and navigating reforms to government spending in complex financial and economic systems.


Research methodology – The research was conducted through secondary data from annual financial reports and statements for both central and local levels. The time interval for 14 years was analyzed through two analyses and one matrix such as descriptive analysis (9 tests), correlation analysis (3 tests), and Proximity Matrix (Euclidean Distance between years and variables, Z stress test) as in the Tables (1–12), in the Figures (1–11) using SPSS version 23.0 for Windows.


Findings – The findings showed that: a) the data had a normal distribution, b) there was an increase in expenditures for each year, especially in times of pandemic COVID-19, c) the data were obtained from financial reports and statements as well as different institutions over different years, d) there is a strong and positive relationship between the variables for government spending in complex systems, e) Public expenses have increased due to COVID-19 and the damage caused is continuing, affecting the decline in the well-being of the residents.


Research limitations – The limitations of this paper are that only a considerable number of variables are studied and only in the state of Kosovo for 14 years (2007–2020). In this case, for other analyses by other researchers’ other variables can be analyzed, more extended periods or comparability with other states.


Practical implications – based on the above questions, it was confirmed that there were reforms in the complex financial and economic systems for government expenditures each year.


Originality/Value – Such research has not been analyzed before and the findings of this research can help budget experts to accurately plan expenses based on the three periods studied (past, present or the period of the Covid-19 pandemic and the future or the post-COVID-19 pandemic period). It is strongly recommended that governing bodies develop and improve the category of public investment expenditures.

Keyword : complex systems, interval analysis, public spending, financial reports and statements, financial and economic reform, past-present-future PPF

How to Cite
Lulaj, E. (2022). An unstoppable and navigating journey towards development reform in complex financial-economic systems: an interval analysis of government expenses (past, present, future). Business, Management and Economics Engineering, 20(2), 329–357. https://doi.org/10.3846/bmee.2022.17389
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References

Ahuja, D., & Pandit, D. (2020). Public expenditure and economic growth: Evidence from the developing countries. FIIB Business Review, 9(3), 228–236. https://doi.org/10.1177/2319714520938901

Al-Faris, A. F. (2002). Public expenditure and economic growth in the Gulf Cooperation Council countries. Applied Economics, 34(9), 1187–1193. https://doi.org/10.1080/00036840110090206

Ampah, I. K., & Kotosz, B. (2016). Wagner versus Keynes: The causal nexus between government expenditures and economic growth: An empirical study of Burkina Faso. Journal of Heterodox Economics, 3(2), 74–101. https://doi.org/10.1515/jheec-2016-0005

Amstatnews. (2010). Jack Wolfowitz: Applying mathematical statistics to practical problems. https://magazine.amstat.org/blog/2010/09/01/wolfowitz9_10/

Ayadi, S., & Ghorbel, S. Z. (2018). Relevance of the Mann Whitney Wilcoxon test in the survival analysis of newly established companies in Tunisia (Case of the Sfax region). Journal of Global Entrepreneurship Research, 8, 12. https://doi.org/10.1186/s40497-018-0093-7

Bayraktar, N., & Moreno-Dodson, B. (2010). How can public spending help you grow? An empirical analysis for developing countries (working paper no. WPS 5367). World Bank. https://doi.org/10.1596/1813-9450-5367

Briggs, C. W. (1950). The evils and burdens of deficit financing. In Proceedings of the Annual Conference on Taxation under the Auspices of the National Tax Association (pp. 167–189). http://www.jstor.org/stable/23405179

Bruce, E. (1995). What is complexity? – The philosophy of complexity per se with application to some examples in evolution. Cogprints. https://web-archive.southampton.ac.uk/cogprints.org/357/

Chen, D. (2021). Risk assessment of government debt based on machine learning algorithm. Complexity, 2021, 3686692. https://doi.org/10.1155/2021/3686692

Clain, S. H., & Leppel, K. (2018). Patterns in economics journal acceptances and rejections. The American Economist, 63(1), 94–109. https://doi.org/10.1177/0569434517732542

Clarke, G. R. G., & Wallsten, S. (2002). Universal(Ly Bad) service: Providing infrastructure services to rural and poor urban consumers (Working Paper No. 2868). World Bank, Washington, DC, USA.

Clef, T. (2013). Statistics how to. Assumptions for Spearman’s rank correlation. https://www.statisticshowto.com/probability-and-statistics/correlation-coefficient-formula/spearman-rank-correlation-definition-calculate/

Constantine, C. (2017). Economic structures, institutions, and economic performance. Journal of Economic Structures, 6(2). https://doi.org/10.1186/s40008-017-0063-1

Cordes, T., Kinda, T., Muthoora, P., & Weber, A. (2015). Expenditure rules: Effective tools for sound fiscal policy? International Monetary Fund. https://doi.org/10.2139/ssrn.2574702

Dabre, M. C. (2014). A study of wage and salary administration in simplex mills Co. Ltd. IJSR – International Journal of Scientific Research, 3(6). https://doi.org/10.15373/22778179/June2014/33

Dai, W. (2021). Development and supervision of robo-advisors under digital financial inclusion in complex systems. Complexity, 2021, 6666089. https://doi.org/10.1155/2021/6666089

De Winter, J. C. F., Gosling, S. D., & Potter, J. (2016). Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data. Psychological Methods, 21(3), 273–290. https://doi.org/10.1037/met0000079
Ding, K., & Xu, X. (2016). Mixed synchronization of chaotic financial systems by using linear feedback control. Discrete Dynamics in Nature and Society, 2016, 3269248. https://doi.org/10.1155/2016/3269248

Eicher, T. S., & Turnovsky, S. J. (1999). Convergence in a two-sector nonscale growth model. Journal of Economic Growth, 4, 413–428. https://doi.org/10.1023/A:1009867409614

Fraser, D. A. S. (1956). A vector form of the Wald-Wolfowitz-Hoeffding theorem. The Annals of Mathematical Statistics, 27(2), 540–543. https://doi.org/10.1214/aoms/1177728279

Global Burden of Disease Health Financing Collaborator Network. (2018). Trends in future health financing and coverage: Future health spending and universal health coverage in 188 countries, 2016-40. The Lancet, 391(10132), 1783–1798.

Goemans, P. (2022). Historical evidence for larger government spending multipliers in uncertain times than in slumps. Economic Inquiry, 60(3), 1164–1185. https://doi.org/10.1111/ecin.13068

Gómez, M. A. (2010). Public spending in a model of endogenous growth with habit formation. Discrete Dynamics in Nature and Society, 2010, 514329. https://doi.org/10.1155/2010/514329

Gurtner, B. (2010). The financial and economic crisis and developing countries. In International Development Policy (pp. 189–213). https://doi.org/10.4000/poldev.144

Harrell, C. A. (1950). The problems of expenditure and debt control at the local level. Proceedings of the Annual Conference on Taxation under the Auspices of the National Tax Association, 43, 160–166. http://www.jstor.org/stable/23405178

Hawtrey, K. (1996). Financial market reform in transition economies. A Journal of Policy Analysis and Reform, 3(2), 195–206. https://doi.org/10.22459/AG.03.02.1996.07

Hetzel, R. L. (2007). The contributions of Milton Friedman to economics. Economic Quarterly, 93(1), 1–30.

Huang, C., Wen, F., Li, J., Yi, T., & Lin, X. (2014). Nonlinear dynamics in financial systems: Advances and perspectives. Discrete Dynamics in Nature and Society, 2014, 275750. https://doi.org/10.1155/2014/275750

Hulse, B. (1950). The problems of public expenditures and debt control on the state level of government. Proceedings of the Annual Conference on Taxation under the Auspices of the National Tax Association, 43, 153–160. http://www.jstor.org/stable/23405177

Isaac, R. M., Mc Cue, K. F., & Plott, C. R. (1985). Public goods provision in an experimental environment. Journal of Public Economics, 26(1), 51–74. https://doi.org/10.1016/0047-2727(85)90038-6

Kay, J. A., & Llewellyn Smith, C. H. (1985). Science policy and public spending. Fiscal Studies, 6(3), 14–23. https://doi.org/10.1111/j.1475-5890.1985.tb00405.x

Kendall, M. G. (1955). Rank correlation methods. Griffin. https://psycnet.apa.org/record/1948-15040-000.

Kendall, M. G. (1948). Rank correlation methods. Griffin. https://psycnet.apa.org/record/1948-15040-000.

Khan, M. A., Rath, K. P., & Sun, Y. (2006). The Dvoretzky-Wald-Wolfowitz theorem and purification in atomless finite-action games. International Journal of Game Theory, 34, 91–104. https://doi.org/10.1007/s00182-005-0004-3

Kirch, W. (Ed.). (2008). Pearson’s correlation coefficient. In Encyclopedia of public health (pp. 1090–1091). Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5614-7_2569

Kolmogorov, A. (1933). Sulla determinazione empirica di una legge di distribuzione (pp. 83–91). Inst. Ital. Attuari Giorn.

Kutasi, G., & Marton, Á. (2020). The long-term impact of public expenditures on GDP growth. Society and Economy, 42(4), 403–419. https://doi.org/10.1556/204.2020.00018

Li, F., & Li, S. (2018). The impact of cross-subsidies on utility service quality in developing countries. Economic Modelling, 68, 217–228. https://doi.org/10.1016/j.econmod.2017.07.013

Li, F., Wang, W., & Yi, Z. (2018). Cross-subsidies and government transfers: Impacts on electricity service quality in Colombia. Sustainability, 10(5), 1599. https://doi.org/10.3390/su10051599

López, R. E., Thomas, V., & Wang, Y. (2008). The quality of growth: Fiscal policies for better results. (IEG Working Paper, 2008/6). World Bank, Washington, DC. https://openknowledge.worldbank.org/handle/10986/28198

Lulaj, E., Zari, I., & Rahman, S. (2022). A novel approach to improving e-government performance from budget challenges in complex financial systems. Complexity, 2022, 2507490. https://doi.org/10.1155/2022/2507490

Lulaj, E. (2019). Transparency and accountability in the public budget, empirical study(data analysis) in local governments-municipalities. International Journal of Education and Research, 7(4), 69–86.

Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18(1), 50–60. https://doi.org/10.1214/aoms/1177730491

Marica, S., & Piras, R. (2018). The relationship between government spending and growth: A survey. Rivista Internazionale Di Scienze Sociali, 126(2), 123–152. https://www.jstor.org/stable/26538304.

Marle, F. (2020). An assistance to project risk management based on complex systems theory and agile project management. Complexity, 2020, 3739129. https://doi.org/10.1155/2020/3739129

Mc Cue, C. (2007). Data mining and predictive analysis. Elsevier. https://doi.org/10.1016/B978-075067796-7/50023-4

Melitz, J. (1965). Friedman and Machlup on the significance of testing economic assumptions. Journal of Political Economy, 73(1), 37–60. https://doi.org/10.1086/258991

Ministry of Finance. (2007–2020). Annual financial report. Pristina, Kosovo.

Moreno-Dodson, B. (2009). On the marriage between public spending and growth: What else do we know? (PREM Notes No. 130). World Bank, Washington, DC. https://openknowledge.worldbank.org/handle/10986/11126

Obilor, E. I., & Amadi, E. C. (2018). Test for significance of Pearson’s Correlation Coefficient (r). International Journal of Innovative Mathematics, Statistics & Energy Policies, 6(1), 11–23. http://www.seahipaj.org/

Ocampo, J. A., Zamagni, S., Ffrench-Davis, R., & Pietrobelli, C. (2000). Financial globalization and the emerging economies. United Nations Publication, New York.

Ostertagová, E., Ostertag, O., & Kováč, J. (2014). Methodology and application of the Kruskal-Wallis test. Applied Mechanics and Materials, 611, 115–120. https://doi.org/10.4028/www.scientific.net/AMM.611.115

Ouyang, T., & Lu, X. (2021). Clustering analysis of risk divergence of China government’s debts. Scientific Programming, 2021, 7033597. https://doi.org/10.1155/2021/7033597

Park, S. (2012). Optimal discount rates for government projects. International Scholarly Research Notices, 2012, 982093. https://doi.org/10.5402/2012/982093

Peng, J., Groenewold, N., Fan, X., & Li, G. (2014). Financial system reform and economic growth in a transition economy: The case of China, 1978–2004. Emerging Markets Finance & Trade, 50(2), 5–22. https://doi.org/10.2753/REE1540-496X5002S201

Power, M. (2021). The financial reporting system – what is it? Accounting and Business Research, 51(5), 459–480. https://doi.org/10.1080/00014788.2021.1932253

Ricco, G., Callegari, G., & Cimadomo, J. (2016). Signals from the government: Policy disagreement and the transmission of fiscal shocks. Journal of Monetary Economics, 82, 107–118. https://doi.org/10.1016/j.jmoneco.2016.07.004

Roaf, J., Atoyan, R., Joshi, B., Krogulski, K., & an IMF staff team. (2014). 25 Years of transition post-communist Europe and the IMF. International Monetary Fund, Washington, D.C.

Roy, A. G. (2012). Revisiting the relationship between economic growth and government size. Economics Research International, 2012, 383812. https://doi.org/10.1155/2012/383812

Salkind, N. J. (2010). Kruskal–Wallis test. In Encyclopedia of research design. https://doi.org/10.4135/9781412961288.n207

Schaffitzel, F., Jakob, M., Soria, R., Vogt-Schilb, A., & Ward, H. (2020). Can government transfers make energy subsidy reform socially acceptable? A case study on Ecuador. Energy Policy, 137, 111120. https://doi.org/10.1016/j.enpol.2019.111120

Schick, A. (2007). Off-budget expenditure: An economic and political framework. OECD Journal on Budgeting, 7(3), 1–32. https://doi.org/10.1787/budget-v7-art13-en

Shaik, M., & Gulhane, R. D. (2021). Power of moment-based normality tests: Empirical analysis on Indian stock market index. Finance & Economics. https://doi.org/10.1002/ijfe.2579

Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591–611. https://doi.org/10.2307/2333709

Shekhovtsov, A. (2021). How strongly do rank similarity coefficients differ used in decision-making problems? Procedia Computer Science, 192, 4570–4577. https://doi.org/10.1016/j.procs.2021.09.235

Siegel, S., & Castellan Jr, N. J. (1988). Nonparametric statistics for the behavioral sciences (2 ed.).

Squartini, T., Gabrielli, A., Garlaschelli, D., Gili, T., Bifone, A., & Caccioli, F. (2018). Complexity in neural and financial systems: from time-series to networks. Complexity, 2018, 3132940. https://doi.org/10.1155/2018/3132940

Staats, E. B. (1950). Problems of expenditure control in the federal government. Proceedings of the Annual Conference on Taxation under the Auspices of the National Tax Association, 43, 142–152. http://www.jstor.org/stable/23405176

Sun, Y. (2021). Unsupervised wireless network model-assisted abnormal warning information in government management. Journal of Sensors, 2021, 1614055. https://doi.org/10.1155/2021/1614055

Tabak, B. M., Silva, T. C., Zhao, L., & Sensoy, A. (2020). Applications of machine learning methods in complex economics and financial networks. Complexity, 2020, 4247587. https://doi.org/10.1155/2020/4247587

Tang, X. (2022). A study of the spatial effects of financial support and economic growth under optimal control of nonlinear generalized complex systems. Discrete Dynamics in Nature and Society, 2022, 2834009. https://doi.org/10.1155/2022/2834009

Titman, S., Wei, K. C. J., & Xie, F. (2004). Capital investments and stock returns. The Journal of Financial and Quantitative Analysis, 39(4), 677–700. https://doi.org/10.1017/S0022109000003173

The World Bank and Korea Development Institute. (2004). Reforming the public expenditure. Medium-Term expenditure framework.

Tsviliuka, O., Zhangb, D., & Melnik, R. (2010). Complex systems in finance: Monte Carlo evaluation of first passage time density functions. Procedia Computer Science, 1(1), 2381–2389. https://doi.org/10.1016/j.procs.2010.04.268

Watts, T. W. (2020). Academic achievement and economic attainment: Re-examining associations between test scores and long-run earnings. Aera Open, 6(2). https://doi.org/10.1177/2332858420928985

Zheng, J., & Du, B. (2015). Projective synchronization of hyperchaotic financial systems. Discrete Dynamics in Nature and Society, 2015, 782630. https://doi.org/10.1155/2015/782630