Components of national stability expectation in responding public management, a structural equation analysis

• Autorzy: Supit Boonlab , Pattama Pasitpakakul

Identyfikatory

DOI

10.17512/pjms.2019.19.1.32

Warianty tytułu

PL

Składniki oczekiwanej stabilności narodowej w reagującym zarządzaniu publicznym, analiza równań strukturalnych

• Języki publikacji: EN

Abstrakty

EN

National stability expectations (NSE) were what people expected they would be served from the public organization. It was a set of policies that every public sector had to implement. The purposes of the research were to investigate national stability expectations and to analyze components from empirical data based on the role played by local organization administration via the structural equation model to confirm measurement model. The total participants were 450 individuals who live in Rangsit Municipality, Pathum Thani Province area, Thailand. The results exhibited three components influence to national stability, i.e., enforcement equally (EE), welfare system (WS), and government service upgrades (GSU). Two structural models which were analyzed fit the indices and most of the indicator correlation was significantly positive with the highest component variation of GSU 89 percent. EE and GSU were co-relationship highest. Moreover, Measurement model identified highest influence GSU while lowest EE to NSE. Slack laws were modified and developed a stronger was the most influence to GSU. Measurement model of national stability can be an appropriate assessment model to measure and to explain how local implementation going under central policy goal. Confirmation and conflict were described through the empirical findings.

PL

Oczekiwania narodowej stabilności (NSE) były tym, czego ludzie oczekiwali od organizacji publicznej. Był zbiór polityk, które każdy sektor publiczny musiał wdrożyć. Celem przeprowadzonych badań było zbadanie krajowych oczekiwań dotyczących stabilności i przeanalizowanie komponentów z danych empirycznych na podstawie roli, jaką odgrywa administracja organizacji lokalnej za pomocą modelu równania strukturalnego w celu potwierdzenia modelu pomiaru. Uczestnikami badania było 450 repondentów mieszkających w gminie Rangsit, w prowincji Pathum Thani w Tajlandii. Wyniki wykazały trzy czynniki wpływające na stabilność narodową, tj. równe egzekwowanie (EE), system opieki społecznej (WS) i ulepszenia usług rządowych (GSU). Dwa modele strukturalne, które poddano analizie, pasowały do wskaźników, a większość korelacji wskaźnika była istotnie dodatnia, przy najwyższej zmienności składowej wynoszącej 89 procent GSU. Czynniki EE i GSU były ze sobą najbardziej powiązane. Ponadto model pomiarowy zidentyfikował najwyższy wpływ GSU przy najniższym EE na NSE. Model pomiaru stabilności narodowej może być odpowiednim modelem oceny do pomiaru i wyjaśnienia, w jaki sposób wdrażanie lokalne podlega celowi polityki centralnej. Potwierdzenie powyższego stwierdzenia oraz sprzeczności zostały opisane poprzez rezultaty empiryczne.

Słowa kluczowe

EN

national stability expectations; structural equation analysis; public policy reform

PL

krajowe oczekiwania dotyczące stabilności; analiza równania strukturalnego; reforma polityki publicznej

• Wydawca: Czestochowa University of Technology
• Czasopismo: Polish Journal of Management Studies
• Rocznik: 2019
• Tom: Vol. 19, No. 1
• Strony: 421--432
• Opis fizyczny: Bibliogr. 32 poz., rys., tab.

Twórcy

autor

Supit Boonlab

• Faculty of Liberal Arts, Rajamangala University of Technology Thanyaburi, Pathumthani, Thailand

autor

Pattama Pasitpakakul

• Faculty of Liberal Arts, Rajamangala University of Technology Thanyaburi, Pathumthani, Thailand

Bibliografia

• 1. Arisi R.O., Ukadike O.J., 2013, Good governance: A Panancea for peace and stability in Nigeria nation, “Public Policy and Administration Research”, 3(4).
• 2. Bevir M., 2010, Democratic Governance, Princeton and Oxford: Printon University.
• 3. Brusca I., Motesino V., 2016, Implementing Performance Reporting in Local Government: A Cross-Countries Comparison, “Public Performance & Management Review”, 39(3).
• 4. Chinachoti P., 2018, The Readiness of Human Resource Management for Industrial Business Sector towards Industrial 4.0 in Thailand, “Asian Administration and Management Review”, 1(2).
• 5. Dahl R.A., 2000, On Democracy, New Haven: Yale University.
• 6. Hair J.F., Black W.C., Babin B.J., Anderson R.E., 2010, Multivariate Data Analysis: A Global Perspective, (7th ed.), New Jersey: Pearson Prentice Hall.
• 7. Haseeb M., Abidin I.S.Z., Hye Q.M.A., Hartani N.H., 2018, The impact of renewable energy on economic well-being of Malaysia: Fresh evidence from auto regressive distributed lag bound testing approach, “International Journal of Energy Economics and Policy”, 9(1).
• 8. Hong H., McConnell R., Liu F., Urman R., Barrington-Trimis J.L., 2019, The Impact of Local Regulation on Reasons for Electronic Cigarette Use Among Southern California Young Adults, “Addictive Behaviors”, 91.
• 9. Hussain H.I., Salem M.A., Rashid A.Z.A., Kamarudin F., 2019, Environmental Impact of Sectoral Energy Consumption on Economic Growth in Malaysia: Evidence from ARDL Bound Testing Approach, “Ekoloji”, 28(107).
• 10. Iregbenu P., Uzonwanne C., 2015, Security Challenges and Implications to National Stability, “Journal of Economics and Sustainable Development”, 6(4).
• 11. Jermsittiparsert K., Sriyakul T., 2019a, The Impact of Political Instability and Corruption on Saving: A Case of ASEAN Countries, “Ekoloji”, 28(107) (In press).
• 12. Jermsittiparsert K., Sriyakul T., 2019b, The Impact of Business Environment and the Macroeconomic Variables on the Foreign Direct Investment in ASEAN countries: Does Political Stability Matters, “Ekoloji”, 28(107), (In press).
• 13. Jöreskog K.G., Sörbom D., 1989, LISREL-7 user's reference guide, Mooresville, IN: Scientific Software.
• 14. Karl D.Jr., Goldfinch S., 2012, What Makes a State and Peaceful? Good Governance, Legitimacy and Legal-Rationality Matter Even More for Low-Income Countries, “Civil Wars”, 14(4).
• 15. Kenny D.A., McCoach D.B., 2003, Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling, “Structural Equation Medeling”, 10(3).
• 16. Kline R.B., 2011, Principal and Practicice of Structural Equation Modeling, (3rd ed.), New York: The Quilford Press.
• 17. Kyle J., 2018, Local Corruption or Support for Fuel Subsidy Reform in Indonesia, “Comparative Political Studies”, 51(11).
• 18. Malkina M., 2019, Spatial Wage Inequality and Ist Sectoral Determinants: the Case of Modern Russia, “Oeconomia Copernicana”, 10(1).
• 19. Meyer D.F., 2018, Predictors of Good Governance and Effective Government Management: The Case of Poland, “Polish Journal of Management Studies”, 18(1).
• 20. Muchadenyika D., Waiswa J., 2018, Policy, Politics and Leadership in Slum Upgrading: A Comparative Analysis of Harare and Kampala, “Cities”, 82.
• 21. Nanda V.P., 2006, The Good Governance Concept Revisited, “The ANNALS of the American Academy of Political and Social Science”, 603(1).
• 22. Ngobo P.V., Fouda M., 2012, Is ‘Good’ Governance Good for Business? A Cross-National Analysis of Firms in African Countries, “Journal of World Business”, 47(3).
• 23. Obodo N.A., Anigbata D.O., 2018, Challenges of Implementing Electronic Governance in Public Sector Organizations in Nigeria, “International Journal of Applied Economics, Finance and Accounting”, 2(1).
• 24. Ozturk F., Ozturk S., 2018, Exploring the Nexus of Coal Consumption, Economic Growth, Energy Prices and Technological Innovation in Turkey, “Asian Economic and Financial Review”, 8(12).
• 25. Pal L.A., 2019, Reforming Governance in Muslim-Majority States: Promoting Values or Protection Stability? “Global Governance and Muslim Organization”.
• 26. Phonwattana S., Wattanapongphasuk S., Jermsittiparsert K., 2019, The Impact of Increasing Political Instability on Economic Growth and CO2 Emission in Thailand, “Ekoloji”, 28(107) (In press).
• 27. Purwanto M.R., Chotimah C., Mustofa I., 2018, Sultan Agung’s Thought of Javanis Islamic Calender and its Implementation for Javanis Moslem, “International Journal of Emerging Trends in Social Sciences”, 4(1).
• 28. Rafindadi A.A., Ogidan O.J., 2018, Empirical Analysis of Poor Public Financial Management in Nigeria: Causes, Implications and Remedies, “Asian Development Policy Review”, 6(4).
• 29. Razak A., Sarpan S., Ramlan R., 2018, Influence of Promotion and Job Satisfaction on Employee Performance, “Journal of Accounting, Business and Finance Research”, 3(1).
• 30. Tabachnick B.G., Fidell L.S., 2007, Using Multivariate Statistics, (5th ed.), New York: Allyn and Bacon.
• 31. Tang M., Huhe N., 2014, The Variant Effect of Decentralization on Trust in National and Local Governments in Asia, “Political Studies”, 64(1).
• 32. Tedeschi R.G., Calhourn L.G., 2004, Posttraumatic Growth: Conceptual Foundations and empirical evidence, “Psychological Inquiry”, 15(1).

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).