Flexible and standard fiscal rules in context of stability of public finances

Przybylska-Mazur, Agnieszka

doi:10.1504/ijmef.2020.10029436

Cited by 1 publication

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“…e research on public finance risk monitoring and early warning system originated in the 1980s. In the 1970s, the world had an economic crisis caused by oil, which led to the world economic recession (Agnieszka et al 2020) [9]. During this period, to alleviate the impact of the economic crisis, the Federal Reserve and banks in other developed countries took the lead in agreeing to adopt a loose monetary policy.…”

Section: Related Workmentioning

confidence: 99%

BP Neural Network Algorithm Based on Big Data for Monitoring and Early Warning of China’s Public Finance

Zhao

Dong

Bian

2022

Mathematical Problems in Engineering

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Public finance plays an important role in the development and construction of the country. Public finance is derived from and used by the people. On the one hand, public finance mainly comes from national taxes and the income of some state-owned enterprises or state-owned assets. On the other hand, public finance is used for national infrastructure, military investment, scientific and technological research and development, national daily operation, and other expenses. Therefore, the state of public finance is closely related to people's lives, and it is also one of the basic symbols of a country's prosperity and strength. How to ensure that the country's public finance is in a good state, grasp the leverage balance of public finance revenue and expenditure, and avoid the situation of national “bankruptcy” is additional attention that the public finance department should pay in the process of operation. Therefore, we urgently need a set of public finance monitoring and early warning system that matches China's public finance operation mechanism and conforms to China's basic national conditions. At present, previous studies rely on the existing detailed data on public finance to measure the situation of China's public finance, but this method refers to fewer data and is not forward-looking enough. Therefore, this paper adopts a BP neural network algorithm to monitor and warn the situation of China's public finance based on computer big data.

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Section: Related Workmentioning

confidence: 99%