STRICT BUDGET CONTROL ON THE GOVERNMENT OF THE CITY OF SEMARANG IN FACING BUDGET TURBULENCE
Keywords:
Strategic, effectiveness, requires, institutionAbstract
This study aims to provide recommendations regarding the level of tightness / flexibility of budget control applied to the Semarang city government, so that budget deficits or surpluses can be avoided and budget performance increases. Data were obtained through multiple methods, namely surveys with questionnaires and observations and verification of budget archive data and budget realization reports as well as macroeconomic data from the Central Bureau of Statistics of the Semarang City Government. In addition, analyze the data quantitatively and qualitatively. There are three objectives to be achieved in this research, namely 1) Knowing whether Tight Budget Control has an effect on budget deviation, 2) Knowing whether Tight Budget Control requires policies for its implementation, and 3) Knowing how closely related Tight Budget Control is with budget turbulence . The population in this research is the Semarang City Government. The sample was determined purposively, based on the Klassen typology area mapping. The data were tested to estimate the measurement model and structural model, using the Partial Least Square (PLS) method, and testing the interaction effect with Ordinary Least Square (OLS) Regression. The results of this study can be used to anticipate the occurrence of contingency factors in the form of budget turbulence in ensuring budgeting effectiveness, especially when this budget turbulence affects the relationship between tight budget control and budget deviations. And, the benefit to UNNES is that, with this research, a university also requires tight budget control in the form of an institution so that budget turbulence does not occur, even though there is a Strategic Plan and Renop.
References
Beaton, D., Dunlop, J., & Abdi, H. (2016). Partial least squares correspondence analysis: A framework to simultaneously analyze behavioral and genetic data. Psychological methods, 21(4), 621.
Boyne, G., Meier, K.J. (2009). Environmental turbulence, organizational stability, and public service performance. Administration & Society. 40, 799–824
Di Francesco, M., & Alford, J. (2016). Balancing budget control and flexibility: the central finance agency as ‘responsive regulator’. Public Management Review, 1-18.
Ezzamel, M. (1990). The impact of environmental uncertainty, managerial autonomy and size on budget characteristics. Management Accounting Research. 1, 181–197.
Gosh, D., Willinger, G.L., 2012. Management control systems, environmental uncertainty and organizational slack: empirical evidence. Adv. Manage. Acc. 21, 87–117.
Johansson, T., Siverbo, S. (2014). The appropriateness of tight budget control in public sector organizations facing budget turbulence. Management Accounting Research.http://dx.doi.org/10.1016/j.mar.2014.04.001
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Hasanah, E. U., Wahyudi, D., & Nugroho, J. P. (2016). The government budget deficit and the real sector in indonesia. Proceeding ICOBAME.
Khandwalla, P. (1977). Design of Organizations. Harcourt Brace Jovanovich, New York.
Merchant, K.A., Van der Stede, W.A. (2012). Management Control Systems: Performance Measurement, Evaluation, and Incentives. Pearson Education, Harlow, UK.
Shofwan, I., Aminatun, S., Handoyo, E., & Kariadi, M. T. (2021). The Effect of E-Learning on Students' Learning Interest in the Equivalence Education Program. Journal of Nonformal Education, 7(1), 103-111.
Wildavsky, A., 1975. Budgeting: A Comparative Theory of Budget Processes. Little, Brown and Co., Boston.
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