Bibliographic record
Abstract
A value-added tax placed on the delivery of goods and services is known as the goods and services tax (GST), and it is one of the most critical tax changes implemented in many countries worldwide. Indirect taxes, including sales tax, service tax, excise duty, and value-added tax, will be rolled into a single, all-encompassing tax system called the goods and services tax (GST). The introduction of the Goods and Services Tax (GST) has been the topic of substantial study and analysis. This literature review aims to summarise the most important results and insights from the existing literature on GST. This review will focus on the research that has been conducted. The goods and services tax, sometimes known as the GST, has been adopted by several countries worldwide, including Australia, Canada, New Zealand, Malaysia, Singapore, and India. The evolution of the Goods and Services Tax (GST) has been affected by several issues, including the necessity to simplify the tax system, expand the tax base, increase revenue collection, encourage economic development, and make it easier to do business across international borders. In addition, the research underlines that the design and execution of the Goods and Services Tax (GST) differ from country to country due to each nation's specific economic, social, and political conditions. Increasing the amount of money that the government takes in is one of the most important objectives of the GST. According to the research findings, the GST's effects on the income collected are complex. While some studies suggest that an increase in revenue collection has occurred as a result of the adoption of the Goods and Services Tax (GST), other studies highlight the challenges that have arisen as a result of the GST, including revenue leakage, compliance concerns, and the requirement for ongoing monitoring and enforcement. In addition, the research analyses elements that impact revenue collection, such as the tax rate, tax base, exemptions, and the efficiency of tax administration. These factors all have a role in determining how much money is brought in. This study focuses on scientific visualization based on the bibliometric analysis of 426 publications, of which 180 were completed after applying the filters on the keywords "Goods and services tax" in the Scopus database from 2017 to 2022. The articles were analyzed for a period ranging from 2017 to 2022. Bibliometric analysis, appraisal, and visualization are some of the uses that R has seen. The examination produced a scientific map that included co-occurrence analysis, network analysis, a co-citation network, and a collaboration network. These elements contributed to a better understanding of the research topic as conceptual, intellectual, and social structures. The outcome of the bibliometric analysis demonstrates that the evolution of the Goods and Services Tax (GST) has resulted in the introduction of a new tax regime in several nations. Furthermore, the outcome of the social collaboration analysis demonstrates that many nations, including India, the United Kingdom, Canada, and Australia, are collaborating to conduct more fruitful research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.061 | 0.048 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".