The Predictive Grey Forecasting Approach for Measuring Tax Collection

Journal of risk and financial management, Год журнала: 2024, Номер 17(12), С. 558 - 558

Опубликована: Дек. 13, 2024

Taxation serves as a vital lifeline for government revenue, directly contributing to national development and the welfare of its citizens. Ensuring efficiency effectiveness tax collection process is essential maintaining sustainable economic framework. This study investigates (a) trends patterns direct collection, (b) cost (c) proportion in total (d) tax-to-GDP ratio India. By utilizing novel grey forecasting model (GM (1,1)), this attempted predict future India’s collections, through which it aims provide concurrent accurate outlook on ensuring resources are optimally allocated country’s growth. Results revealed that has consistently increased past two decades, also improved significantly. On contrary, decreased regularly, indicating collection. Forecasting shows from expected reach INR 30.67 trillion 2029–30, constituting around 54.41% tax, leaving behind collections indirect at 25.70 trillion. Such findings offer insights could enhance revenue management strategies with policy decisions relevant economists, government, other stakeholders understand

Язык: Английский

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A robust electromyography signals-based interaction interface for human-robot collaboration in 3D operation scenarios

Expert Systems with Applications, Год журнала: 2023, Номер 238, С. 122003 - 122003

Опубликована: Окт. 4, 2023

Язык: Английский

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Assessing the current and future effects of Covid-19 on energy related-CO2 emissions in the United States using seasonal fractional grey model

Energy Strategy Reviews, Год журнала: 2023, Номер 50, С. 101234 - 101234

Опубликована: Окт. 16, 2023

Accurate CO2 forecasting plays an important role in energy planning. However, the annual studies on emissions, seasonal effects cannot be predicted. To overcome this problem, study proposed a novel prediction model based seasonally optimised fractional nonlinear grey Bernoulli (SOFANGBM(1,1)), combining fluctuation technique with optimisation of background, power index, and order values. The offers two improvements performance: (1) This combined (OFANGBM(1,1)) to enable monthly quarterly predictions (2) (SFANGBM(1,1)) was improved by optimising background value. emissions had largest share global GHG United States second emission emitter worldwide after China 2019. cases deaths from Covid-19 continue States, questions arise: How has affected fossil fuel type past, how will it reshape them future? aimed analyse affects fuels U.S., its future, also contribute Sustainable Development Goals (SDGs). Quarterly coal, natural gas, petroleum, total U.S. were forecasted using under pandemic pandemic-free scenarios. scenario determined gap due Covid-19, presented results 2025. performance tested 2022-Q1 2022-Q4 simulated 2015-Q1 2021-Q4. Using SOFANGBM(1,1), caused 2 %, 16 12 % reductions respectively, 2020. SOFANGBM(1,1) forecasts that reach 4520.6 Mt

Язык: Английский

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A New Conformable Fractional-Order Time-Delay Grey Bernoulli Model with the Arithmetic Optimization Algorithm and Its Application in Rural Regional Economy

Journal of Mathematics, Год журнала: 2023, Номер 2023, С. 1 - 21

Опубликована: Янв. 11, 2023

To further promote the development of grey system theory, this paper develops a novel conformable fractional-order Bernoulli model with time-delay effect, namely, CFTDNGBM (1, 1) model. In addition, arithmetic optimization algorithm (AOA) is incorporated into to solve hyperparameters existing in Compared previous prediction models, accumulation operation (CFAO), factor, and parameter has stronger compatibility structure. The proposed its nine competitive models excellent performance are used predict analyze consumption level per capita expenditure rural residents China verify feasibility method. case results show that both cases, seven descriptive indicators higher than those competing models. Therefore, certain application value.

Язык: Английский

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Auditory-circuit-motivated deep network with application to short-term electricity price forecasting

Energy, Год журнала: 2023, Номер 288, С. 129729 - 129729

Опубликована: Дек. 5, 2023

Язык: Английский

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