DIGITALIZATION OF ROMANIAN PUBLIC ADMINISTRATION: A PANEL DATA ANALYSIS AT REGIONAL LEVEL

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-02-10 DOI:10.3846/jbem.2023.18574
Alexandra Frățilă, Mirela Păunescu, Elena-Mirela Nichita, P. Lazăr
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Abstract

Digital transformation of public administration creates opportunities for transparency, accountability, efficiency, and better tax collection. Benefits are even more critical considering the coronavirus crisis when millions of people worldwide engage in online solutions. Our research paper offers clear insights into the public administrations’ strategic management when it comes to the impact of digitalization upon local tax revenues collection. In this setting, we investigate the effects of the digitalization of the Romanian public sector, focusing on local tax revenues collection covering the period 2015–2021. The data was collected from the national platform for e-payments – ghiseul.ro. To assess the impact of digitalization, we opted for the panel data analysis, complemented by reliability and robustness tests. The local tax revenues are settled as the dependent variable and analysed in relationship with the number of payments made via the above-mentioned platform (assigned as a proxy for digitalization). Gross domestic product per capita, Unemployment rate, and Average net earnings are control variables. Our outcomes show that digitalization impacts local tax revenues, but it differs across the country, the highest impact being registered in the case of macroregion 3. All independent variables are statistically significant, leading to the assumption that the empirical model is accurate.
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罗马尼亚公共行政数字化:区域层面的面板数据分析
公共行政的数字化转型为透明度、问责制、效率和更好的税收征管创造了机会。考虑到冠状病毒危机,当全球数百万人参与在线解决方案时,好处就更加重要了。我们的研究论文为公共行政部门的战略管理提供了清晰的见解,当涉及到数字化对地方税收征收的影响。在此背景下,我们调查了罗马尼亚公共部门数字化的影响,重点关注2015-2021年期间的地方税收收入。这些数据是从国家电子支付平台ghiseul.ro收集的。为了评估数字化的影响,我们选择了面板数据分析,并辅以可靠性和稳健性测试。将地方税收收入作为因变量进行结算,并分析其与通过上述平台(作为数字化的代理)支付数量的关系。控制变量为人均国内生产总值、失业率和平均净收入。我们的研究结果表明,数字化影响了地方税收收入,但在全国各地有所不同,在宏观地区的影响最大。所有自变量都具有统计显著性,从而假设经验模型是准确的。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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