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Gotowe bibliografie tematyczne / Fiscal control gear

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Gotowa bibliografia na temat „Fiscal control gear”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Fiscal control gear"

1

Bachurin, Dmitriy G. "Methodological solutions for the shaping of the theoretical and legal foundations of the state policy in the area of VAT taxation." Bulletin of the Far Eastern Federal University. Economics and Management, no. 2(82)2017 (August 4, 2017): 3–14. https://doi.org/10.5281/zenodo.819521.

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<em>The article presents the hypothesis paradigm shift of modern taxation by extending the domain of research and the use of economic and legal methodology in conjunction with the elements of the historical approach. As a methodological device for the development and decision-making in the field of value added tax proposed the principle of proportionality optimal benefits and burdens. In the final part conclusions about the possibilities of increasing the effectiveness of research in the area of improving the fiscal and regulatory capabilities of value added tax based on the integrated applica

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2

Alfano, Maria Rosaria, Anna Laura Baraldi, and Claudia Cantabene. "The Effect of Fiscal Decentralization on Corruption: A Non-linear Hypothesis." German Economic Review 20, no. 1 (2019): 105–28. http://dx.doi.org/10.1111/geer.12164.

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Abstract This study advances the literature on the effect of decentralization on corruption by proposing a theoretical motivation for the hypothesis that the corruptionminimizing decentralization arrangement prescribes intermediate decentralization degrees: a ‘middle’ decision-making power of local governors may mitigate the tradeoff between the rent-seeking incentive for local politicians and the effectiveness of their voters’ monitoring. The estimation of a non-linear empirical model strongly confirms that a decentralization degree between 15% and 21% minimizes corruption even through differ

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3

Ali, Brekhna, and Mukamil Shah. "The Implication of Fiscal Variables in the Monetary Reaction Function of Pakistan." Global Economics Review VIII, no. I (2023): 1–16. http://dx.doi.org/10.31703/ger.2023(viii-i).01.

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This paper investigates the influence of fiscal variables on the monetary reaction function innPakistan. The main concern of a macroeconomic policy is to achieve sustainable growth and to keep a low level of inflation in the economy. For empirical analysis, the Autoregressive Distributive Lag model (ARDL) is applied using quarterly data for the period 2004Q1 to 2020Q4. The empirical evidence reveals that the monetary policy instrument in the monetary reaction function is explained significantly by the fiscal policy variables both in the short and long-run. Monetary policy independently cannot

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Sanders, Mark. "Gillian Hart, Disabling Globalization: Places of Power in Post-Apartheid South Africa. Berkeley: University of California Press, 2002." Comparative Studies in Society and History 46, no. 3 (2004): 650–51. http://dx.doi.org/10.1017/s0010417504240294.

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Dominant understandings of globalization, according to Gillian Hart, are “disabling.” By measuring the effect of the “global” on the “local,” conventional impact studies rely on a flawed conceptual opposition of time and space: the “global” is temporal and dynamic, the “local” spatial and static (12–13). This drives the lament, heard in post-apartheid government circles, that “there is no alternative” to the pro-globalization policies adopted when the Reconstruction and Development Programme (RDP) was displaced in June 1996 by a plan known as Growth, Employment and Redistribution (GEAR). “The

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Shevchenko, Ekaterina. "Impact of the Demographic Processes on the Inflation Rate in the Russian Regions." Spatial Economics 17, no. 1 (2021): 123–43. http://dx.doi.org/10.14530/se.2021.1.123-143.

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The influence of demographic processes on the inflation rate in Russian regions is reviewing. The hypothesis of heterogeneous influence of the population of different age groups on the inflation rate are testing. Such influence can be explained by the different behavior of age groups concerning consumption, inflation expectations, as well as other factors that determine the behavior of different age groups, the specifics of the country’s regions, and interregional interaction. The database includes the statistical indicators of 81 regions of Russia for the period from 2010 to 2018. As the depe

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