Abstract
This study aims to examine the relationship between public financial management and indicators of well-being among 29 Economic Co-operation and Development (OECD) countries using a balanced panel dataset over the period between 2005 and 2019. This study used a matrix of seven proxy measures of public financial management, which works as an integrated financial system to improve the objective quality of well-being measured by employment, education level, productivity, and wages. Using the generalised method of moments, the estimator's results, indicate that higher government revenues, expenses (% of GDP) lead to lower well-being while the higher net lending /net borrowing, cost of business start-up procedures, and adjusted gross savings (% of GNI) lead to increase well-being measured by spending on education. The higher government revenues, regulatory quality, government effectiveness, and higher net lending /net borrowing lead to improved well-being, while the higher cost of business start-up procedures (% of GNI per capita) leads to lower well-being measured by wages. The higher government revenues, government effectiveness, and higher net lending/net borrowing lead to increased well-being. In contrast, the higher expense (% of GDP) leads to lower well-being measured by productivity labor. The higher government revenues, government effectiveness, regulatory quality, net lending /net borrowing and adjusted gross savings lead to lower well-being, while the higher cost of business start-up procedures leads to increased well-being measured by employment rates. The OECD countries should prepare fiscal policies to ensure the sustainability of public finances in the long run and identify emergency response mechanisms to overcome the challenges of improving the objective quality of well-being.
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Data availability
World Development Indicators (WDI) (2019). Retrieved on 01-04-2020 from: https://databank.worldbank.org/source/worlddevelopment-indicato. Worldwide governance indicators (WGI) (2020). Retrieved on 01-04-2020 from http://info.worldbank.org/governance/wgi/
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Appendices
Appendix A: Definitions of variables
Variable | Abbreviation | Definitions of Independent variables |
---|---|---|
Public financial management indicators* | PFM | PFM refers to the indicators that a government uses to mobilise resources and expenditures in the public sector |
Cost of business start-up procedures (% of GNI per capita)** | CBP | CBP is the cost calculated for establishments to register in the business sector in relation to the GNI |
Net lending ( +)/net borrowing (−) (% of GDP)** | NLB | NLB expresses the ability of a government to put financial resources in the service of other sectors in the domestic or global economy or to use financial resources derived from internal and external economic sectors to develop the various sectors in the country with the aim of reflecting the net result of the total financial assets and liabilities |
Adjusted gross savings (% of GNI)** | AGS | AGS expresses the differences between total national savings and public and private consumption in addition to current transfers |
Government effectiveness*** | GEF | GEF reflects the extent of a state’s ability to provide high-quality public civil services. In other words, indicates its degree of independence from political pressures and the extent of the government’s commitment to formulating and implementing policies with credibility and transparency |
Regulatory quality*** | REQ | REQ refers to a government’s ability to formulate and implement policies in an organised and flexible manner in order to encourage and develop the private sector alongside the public sector and participate in achieving the state’s development goals |
Revenue, excluding grants (% of GDP)** | REV | REV refers to government income received from various sources, such as taxes, social contributions, commissions, wages and the sale of government projects with the exception of grants and aid received |
Expense (% of GDP)** | EXP | EXP constitutes all cash payments required for the operational activities of a government in terms of providing goods and services and includes compensation to employees through wages, salaries, interest, grants and related expenditures |
Definitions of dependent variables | ||
Quality of well-being**** | QW | QW indicators evaluate the aspects that achieve the societal well-being of individuals through improving the level of education, financial growth, economic growth and developing the tangible environment based on the societal perspective rather than the individual one in order to achieve safety and community stability |
Government expenditure on education, total (% of government expenditure)** | GED | GED expresses the percentage of government spending on education out of a state’s total spending, and it represents all sectors in the country |
Wage and salaried workers, total (% of total employment) (modelled ILO estimate)** | WSW | WSW refers to the percentage of wages and salaries paid to workers, meaning employees and those who own jobs, out of total employment, meaning wages for a job |
Employers, total (% of total employment) (modelled ILO estimate** | EMP | EMP refers to the ratio of employment (number of employees) to total employment, meaning the number of individuals who have a job |
Services, value added per worker (constant 2010 US$)** | LOG SPW | LOG SPW refers to the percentage of productive manpower and the added value of each worker or single unit involved in the production process and his/her contribution to building a country’s economy |
Definitions of control variables | ||
Social contributions (% of revenue)** | SOCC | SOCC includes the social and resulting contributions from employees, employers and individuals working for their own benefit and any social security contributions administered by governments that work to protect workers |
Population growth (annual %)** | POPG | POPG includes all citizens and legal residents |
Current health expenditure (% of GDP)** | CHE | CHE is the ratio of government spending on health to annual GDP |
GDP per capita growth (annual %)** | GDPG | GDPG refers to the prices of buyers or the value added by all producers in the country in addition to taxes on products, which are reflected in the prices of the local fixed currency |
Consumer price inflation (annual %)** | CPI | CPI refers to the consumption price of the change in the annual cost that the consumer incurs in exchange for goods and services |
Appendix B: Matrix of correlations
Variables | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | (13) | (14) | (15) | (16) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(1) GED | 1.000 | |||||||||||||||
(2) WSW | − 0.215 | 1.000 | ||||||||||||||
(3) LOGSPW | − 0.124 | 0.585 | 1.000 | |||||||||||||
(4) EMP | − 0.166 | − 0.314 | 0.112 | 1.000 | ||||||||||||
(5) REV | − 0.280 | 0.444 | 0.240 | − 0.327 | 1.000 | |||||||||||
(6) EXP | − 0.423 | 0.312 | 0.091 | − 0.167 | 0.852 | 1.000 | ||||||||||
(7) REQ | − 0.025 | 0.468 | 0.349 | − 0.335 | 0.373 | 0.245 | 1.000 | |||||||||
(8) GEF | − 0.024 | 0.545 | 0.492 | − 0.345 | 0.418 | 0.255 | 0.915 | 1.000 | ||||||||
(9) CBP | − 0.094 | − 0.633 | − 0.424 | 0.374 | − 0.234 | − 0.138 | − 0.431 | − 0.534 | 1.000 | |||||||
(10) NLB | 0.274 | 0.283 | 0.284 | − 0.239 | 0.169 | − 0.291 | 0.172 | 0.280 | − 0.231 | 1.000 | ||||||
(11) AGS | 0.162 | 0.318 | 0.378 | − 0.130 | 0.118 | − 0.183 | 0.007 | 0.063 | − 0.198 | 0.412 | 1.000 | |||||
(12) CPI | 0.145 | − 0.188 | − 0.390 | − 0.117 | − 0.068 | − 0.068 | − 0.071 | − 0.128 | 0.220 | 0.040 | − 0.269 | 1.000 | ||||
(13) GDPG | 0.067 | − 0.013 | − 0.221 | − 0.148 | − 0.030 | − 0.128 | − 0.042 | − 0.093 | 0.025 | 0.129 | 0.141 | 0.072 | 1.000 | |||
(14) POPG | 0.471 | − 0.231 | 0.259 | 0.195 | − 0.272 | − 0.399 | 0.070 | 0.120 | 0.054 | 0.242 | 0.152 | − 0.012 | − 0.177 | 1.000 | ||
(15) CHE | − 0.114 | 0.277 | 0.778 | 0.241 | 0.048 | − 0.004 | 0.242 | 0.363 | − 0.335 | 0.101 | 0.167 | − 0.374 | − 0.339 | 0.232 | 1.000 | |
(16) SOCC | − 0.600 | 0.175 | 0.014 | − 0.017 | 0.241 | 0.311 | − 0.182 | − 0.207 | 0.073 | − 0.163 | 0.141 | − 0.135 | 0.052 | − 0.504 | 0.035 | 1.000 |
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Alshubiri, F., Elheddad, M. & Alfar, A. Public financial management indicators for emergency response challenges and quality of well-being in OECD countries. Mind Soc 22, 129–158 (2023). https://doi.org/10.1007/s11299-023-00299-x
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DOI: https://doi.org/10.1007/s11299-023-00299-x
Keywords
- Public financial management
- Objective well-being
- Budget theory
- Bucket theory
- Aspiration theory
- Set-point theory