Political resistance to fiscal stability institutions: The case of Romania
Main Article Content
Abstract
The aim of this paper is to analyze the revealed resistance to fiscal stability institutions recently showed by Romanian politicians. Establishing the context, the design of the present-day institutional environment for fiscal stability is investigated, with special attention being paid to its legal protection against political pressure. Typical opinions recently expressed by key political actors on certain issues related to fiscal stability are analyzed and categorized into a number of main arguments. To this end, insights from the political discourse analysis field are employed as tools for decoding the political meaning of written and spoken text. The public debates around the 2015-2016 tax cut program are presented as a case study for the investigation of political resistance to settled fiscal stability institutions.
Keywords: fiscal stability; fiscal governance; political discourse analysis; Romania
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
Agasisti, T. (2011). Does competition affect schools’ performance? Evidence from Italy through OECD-PISA data. European Journal of Education, 46(4), 549–565. http://doi.org/10.1111/j.1465-3435.2011.01500.x
Aiyagari, S. R., Greenwood, J., & Seshadri, A. (2002). Efficient investment in children. Journal of Economic Theory, 102(2), 290–321. http://doi.org/10.1006/jeth.2001.2852
Barlas, Y., & Diker, V. G. D. (2000). A dynamic simulation game (UNIGAME) for strategic university management. Simulation & Gaming, 31(3), 331–358. http://doi.org/10.1177/104687810003100302
Becker, G. S., & Tomes, N. (1979). An equilibrium theory of the distribution of income and intergenerational mobility. The Journal of Political Economy, 87(6), 1153–1189. http://doi.org/10.2307/1833328
Benadusi, L., & Giancola, O. (2014). Saggio introduttivo: sistemi di scuola secondaria comprensivi versus selettivi. Una comparazione in termini di equità. Scuola Democratica, 2, pp. 461-482. Retreived from: https://www.rivisteweb.it/doi/10.12828/77426
Bratti, M., Checchi, D., & Filippin, A. (2007). Geographical differences in Italian students’ mathematical competencies: evidence from Pisa 2003. Giornale Degli Economisti E Annali Di Economia, 33(3), 299–331.
Benabou, R. (2002). Tax and education policy in a heterogeneous agent economy: what levels of redistribution maximize growth and efficiency? Econometrica, 70(2), 481–517. http://doi.org/10.1111/1468-0262.00293
Clauset, K.H., Jr. & Gaynor, A.K. (1982). Effective schooling: a systems perspective. Educational Leadership, 40(3), 54-59.
Cunha, F., & Heckman, J. (2007). The technology of skill formation. In American Economic Review (Vol. 97, pp. 31–47). http://doi.org/10.1257/aer.97.2.31
Cunha, F., Heckman, J., & Schennach, S. (2010). Estimating the technology of cognitive and noncognitive skill formation. Econometrica, 78(3), 883–931. http://doi.org/10.3982/ECTA6551
Conte, R., Gilbert, N., & Sichman, J. S. (1998). MAS and social simulation: a suitable sommitment. Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation, (1), 1–9. http://doi.org/10.1007/10692956_1
Coleman, J. S., Campbell, H. Q., Hobson, C. J., McPartland, J., Mood, A. M., Weinfeld, F. D., & York, R. L. (1966). Equality of educational opportunity. Washington, DC: US Department of Health, Education & Welfare. Office of Education
Deci, E. L., & Ryan, R. M. (1988). Intrinsic motivation and self-determination in human behavior. Contemporary Sociology (Vol. 17). http://doi.org/10.2307/2070638
Diawati, L., Kawashima, H., & Hayashi, Y. (1994). Skill formation and its impact on the adaptation process of new production systems. System Dynamics Review, 10(1), 29–47. http://doi.org/10.1002/sdr.4260100103
Dweck, C. S., & Elliott, E. S. (1983). Achievement motivation. Handbook of child psychology, 4, 643–691. http://doi.org/10.1016/B978-0-12-373951-3.00002-8
Eccles, J. S., Adler, T., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, Values, and Academic Behaviors. Achievement and Achievement Motivation. http://doi.org/10.1207/s15327752jpa8502
Forrester, J. W. (1958). Industrial dynamics: a major breakthrough for decision makers. Harvard Business Review, 37-66, retrieved from:
http://www.lottepiil.dk/kandidat/Industrial Dynamics (Forrester 1958).pdf
Forrester, J. W. (1969). Urban Dynamics. Portland, OR: Productivity Press.
GERESE (2005). L´equite des systemes educatifs europeens. Un ensemble d´indicateurs. Liege: Commission Europeene. Direction generale de l´education et de la culture.
Grolnick, W. S., Friendly, R., & Bellas, V. (2009). Parenting and children’s motivation at school. Handbook of Motivation at School, (1966), 279–300. Retrieved from http://books.google.com/books?hl=nl&lr=&id=P5GOAgAAQBAJ&pgis=1
Hanushek, E. A., & Woessmann, L. (2011). The economics of international differences in educational achievement. In E.A. Hanushek, S. Machin, and L. Woessmann (Eds). Handbook of the Economics of Education, (pp. 165-172). The Netherlands: North-Holland
http://doi.org/10.1016/B978-0-444-53429-3.00002-8
INVALSI (2013). OCSE PISA 2012 Rapporto Nazionale, Retrieved from http://www.invalsi.it/invalsi/ri/pisa2012/rappnaz/Rapporto_NAZIONALE_OCSE_PISA2012.pdf
López, L., Guevara, P., & Zúñiga-Saenz, R. G. (2005). Forecasting Primary Education Efficiency. In Proceedings of the 23rd International Conference of the System Dynamics Society, July 17-21, Boston
Matteucci, M., & Mignani, S. (2014). Exploring regional differences in the reading competencies of Italian students. Evaluation Review, 38(3), 251–290. doi: 10.1177/0193841X14540289
OECD. (2013). PISA 2012 results: Ready to learn. Students’ engagement, drive and self-beliefs (Volume III). Retrieved from https://www.oecd.org/pisa/keyfindings/PISA-2012-results-volume-III.pdf
Ponzo, M. (2011). The effects of school competition on the achievement of Italian students. Managerial and Decision Economics, 32(1), 53–61. http://doi.org/10.1002/mde.1517
Richardson, G. P. (1991). System dynamics: Simulation for policy analysis from a feedback perspective. In P. A. Fishwick & P. A. Luker (Eds.), Qualitative Simulation Modeling and Analysis (pp. 144–169). New York, NY: Springer New York. http://doi.org/10.1007/978-1-4613-9072-5_7
Scholl, H. J. (2001). Agent-based and system dynamics modeling: A call for cross study and joint research. In Proceedings of the 34th Hawaii International Conference on System Sciences (pp. 1-8). http://doi.org/10.1109/HICSS.2001.926296
Seta, L., Pipitone, V., Gentile, M., & Allegra, M. (2014). A model to explain Italian regional differences in PISA 2009 outcomes. Procedia: Social & Behavioral Sciences, 143, 185–189. doi: http://dx.doi.org/10.1016/j.sbspro.2014.07.384
Shonkoff, J. P., & Phillips, D. A. (2000). From neurons to neighborhoods: The science of early childhood development. National Academies Press
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. Boston: Irwin/McGraw-Hill.
Sterman, J. (2014). Interactive web-based simulations for strategy and sustainability: The MIT Sloan LearningEdge management flight simulators, Part II. System Dynamics Review, 30(3), 206–231. http://doi.org/10.1002/sdr.1519
Winch, G. W. (2001). Management of the “skills inventory†in times of major change. System Dynamics Review, 17(2), 151–159. http://doi.org/10.1002/sdr.208