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The purpose of this research is to demonstrate how legal strategies can be used to enhance the effectiveness of value-added tax (VAT) and how taxation laws can synergise with economic goals to strengthen the economy.

This study uses a comprehensive approach to explore various aspects of VAT, including its mechanics, collection process and global trends. It uses a comparative analysis of different types of taxes and their potential impact on economic growth. Additionally, it examines the role of the law in establishing tax systems, and how the law makes VAT more effective.

The research highlights the importance of legal frameworks in implementing VAT strategies and addressing associated challenges. It also identifies the advantages and disadvantages of VAT and discusses its role in diversifying economic income sources to ensure a sustainable national revenue stream.

This research contributes to the literature by offering insights into the interplay between law, taxation and economic development, particularly focusing on the effectiveness of VAT. It provides original perspectives on legal strategies to optimise VAT systems and enhance economic growth.

Although the outcomes arising from firms’ interaction with policymakers is a developed theme, family firms’ political credentials and lobbying remain unexplored. To ignite this discourse, the extent to which these factors influence family firms’ tax experience and perception of corruption obstacles is estimated, as well as the impact on sales performance.

Cross-sectional data from Turkish family firms are examined by a structural equation model. The sample is comprised of 588 family firms spanning 12 regions.

The paths revealed that family firms’ political credentials do not inherently yield a positive tax experience. Rather, membership of a business association provides a medium to engage in lobbying activity. In turn, this leads to a more positive tax experience but also a greater exposure to corruption. Likewise, informed lobbying increases sales performance while corruption has the reverse effect.

The significant influences of political credentials and lobbying make a novel contribution to organisational field theory. Practically, the study appeals to family firms seeking to ease their tax experience while increasing sales and bypassing corruption.

To orient the commercial development of cowpeas, we identify the determinants of the value of cowpea grain sold by traders in Senegal’s local markets. We test whether the determinants differ between men and women traders and explore seasonal patterns.

We employ ordinary least squares and seemingly unrelated regressions using a nationally representative dataset of 973 traders, of whom 380 sell cowpea grain, in 99 urban and rural markets across the 14 regions of Senegal.

The value of cowpea grain sold is influenced by vendor and market characteristics but not by cowpea type. Women and men traders represent statistically distinct groups. The sales value was eight times higher during the survey season among men. Most women grain sellers are retailers, whereas men are involved in both retailing and wholesaling. The picture that emerges is that men traders are able to respond more to economic signals, such as purchase cost, credit and labor payments, perhaps because they operate on a larger scale. Sales were significantly correlated across seasons.

To support cowpea commercialization, researchers should explore the characteristics of enterprises led by women and men traders in greater depth. Sampling grain sold in markets to test genetic relationships with improved varieties would enable researchers to link market-based incentives directly to cowpea breeding.

Previous economics research about cowpea grain markets emphasized the hedonic analysis of grain characteristics to guide crop improvement. This study reveals differentiation among traders by gender and the importance of trader and market characteristics in sales value.

This study aims to investigate the relationship between trust in government, value added tax (VAT) compliance costs and VAT compliance in the Jordanian retail industry context.

The study makes use of an online questionnaire survey to collect the required data, and the research model is eventually validated based on 189 responses gathered from the retail industry in Jordan. The obtained data was analyzed using partial least squares-structural equation modeling to examine the effects of trust in government and costs of VAT compliance on VAT compliance.

The results showed that VAT compliance costs have no significant influence on VAT compliance; while trust in government was found statistically positive significant with VAT compliance.

This study’s results are expected to have implications for VAT authorities and policymakers in Arab countries, like Jordan in their policies formulation to enhance VAT compliance in retail industry. The study’s findings are alerting the policymakers for the positive noneconomic consequences of VAT compliance. It provides evidence that trust in government can increase VAT compliance.

The results of the research have a plentiful of social implications. Higher VAT compliance will enable higher levels of government spending on a many of social targets such as health, education, welfare programs and infrastructure.

While the study builds on recent research examining how to incentivize VAT compliance, it simultaneously seeks to make three contributions. First, the study design aims to apply recent advances in behavioral sciences (impact of trust in government and VAT compliance costs) in a policy area that has not seen much use of such interventions in the Jordanian context (i.e. VAT compliance). Second, the study is government procedures pertinent in the sense that it aims to increase the effectiveness of existing government policies by complementing them with behavioral primes. Third, there is nearly no literature found applying this topic in a developing country such as Jordan. To the best of the author’s knowledge, this is the first study that examines the trust in government and VAT compliance costs on VAT compliance among Jordanian retail industry. Thus, this paper contributes to mitigating the literature gap by providing empirical evidence concerning the influence of trust in government and VAT compliance costs on the retail industry VAT compliance in the Jordanian context.

The “metaverse” is the new buzzword. With the phenomenal growth of the metaverse comes accounting, taxation and jurisdictional challenges, which business and governments have yet to fully address. This paper aims to highlight and rationalise the lack of regulatory framework and multiplicity of jurisdictions on metaverse transactions. This paper addresses some of the complications with respect to accounting and taxation in virtual environments.

This study relies on secondary data and emerging literature to understand the multiplicity of jurisdiction and complexity of the accounting transactions. The concept of the metaverse is rapidly evolving, and this study uses extant literature to provide the foundation for understanding the key challenges relating to accounting and taxation.

Concepts of revenue recognition and deferment are challenged by the transactions in the metaverse. There are novel applications, underpinned by emerging technologies and blockchain supporting new crypto assets, such as non-fungible tokens and other decentralised finance (DeFi) tools; however, the caveats of anonymity and jurisdictional issues persist. The paper suggests that the industry must adapt to the unique reporting requirements of these assets and develop new standards for evaluating their value for financial reporting purposes. The paper emphasises the need for a case-based approach in the absence of standardised regulations for the accounting industry in the metaverse.

This paper adds original contributions to extant literature of the metaverse and advances ongoing debates into the accounting and taxation issues pertinent to the metaverse and DeFi.

The purpose of this paper is to explore how variations in management’s tone within management’s discussion and analysis (MD&A) sections of 10-K reports can serve as an indicator of tax avoidance and highlight the complex relationship between such linguistic shifts and the tax avoidance decisions within firms.

The paper uses a textual analysis approach to identify linguistic cues in MD&A sections of 10-K filings related to tax avoidance, going beyond traditional quantitative measures. The study uses differences in negative word occurrences in MD&A to measure management’s tone change and examines various measures of tax avoidance. The sample covers the period from 1993 to 2017 and comprises all firms with 10-K filings available on EDGAR, totaling over 30,000 firm-year observations.

The findings indicate a complementary relationship between tax avoidance and other drivers of firm performance. When firms have more negative management’s tone, they are less willing to engage in tax avoidance and vice versa. The study’s approach with management’s tone change provides a different and statistically significant improvement in model fit for detecting tax avoidance.

This paper provides actionable insights for detecting tax avoidance through the analysis of management’s tone in corporate disclosures, offering a new tool for researchers, investors and tax authorities. It highlights the importance of linguistic cues as indicators of tax avoidance behavior, complementing traditional financial metrics.

The paper contributes to the literature by using management’s tone change as a time-varying factor to explain tax avoidance behavior. It uncovers a larger set of linguistic cues in MD&A that can be used to detect tax avoidance. This research provides a complementary approach to traditional quantitative tax avoidance measures and offers insights into the overall relationship between tax avoidance and firm performance, going beyond one-dimensional measures typically used in prior literature.

This study aims to analyze the relationship between the alcohol brewing industry and the macroeconomic variables of the emerging market of Asia.

The study uses secondary data for the period of 32 years and applies the autoregressive distributed lag-error correction method (ARDL-ECM) approach to understand short- and long-run dynamics in the alcohol industry by considering macroeconomic variables.

The findings of the study confirm the existence of a long-run relationship between the alcohol brewing industry and the macroeconomic variables considered for this study.

The authors present a few limitations of this study. First, this study uses secondary data originating from one of the emerging markets of Asia. Second, the study is solely conducted from an economic perspective rather than from a social or health perspective. Finally, the study considers the data originating from the organized sector of the alcohol industry of India.

The study will be helpful to the researchers in guiding the future course of research in the area of the alcohol industry. This study can be helpful to the policymakers in framing the National Alcohol and taxation Policy. This study also helps both the producers and exporters to strategize sustainable production and trade of alcoholic beverages.

To the best of the authors’ knowledge, this study is the first of its kind to analyze the alcohol industry from the macroeconomic perspective through the ARDL-ECM approach.

The purpose of this paper is to present the perception of the textile industry stakeholders (manufacturers, wholesalers, retailers, consumers and tax professionals) on India’s new goods and services tax (GST) system and find whether the introduction of GST has made doing business easier or not.

The researchers used interviews and surveys to capture the perceptions of the textile industry stakeholders at Surat, a major textile hub in India. To econometrically verify the perceptions, the researchers used a logit regression model.

The researchers found that the provision of monthly tax filing has increased textile businesses’ dependency on tax professionals, which increased business costs. Also, the GST system has made tax compliance easier and is user-friendly. However, tax refund-related issues are a significant factor that negatively impacts the ease of doing business post-GST.

The findings of the research shall be helpful for the GST Council of India and policymakers to understand the problems faced by the textile businesses and cater to their problems.

To the best of the authors’ knowledge, this study is original as none of the available studies captures the perception of all the textile industry stakeholders, namely, manufacturers, wholesalers, retailers, consumers and tax professionals, on the GST system applying econometric techniques to validate the perceptions.

Africa's business environment (BE) is characteristically unfriendly and poses severe development challenges. This study evaluates the impact of business climate on productivity in sub-Saharan Africa (SSA).

Macroeconomic data for 51 sub-Saharan African economies from 1990 to 2018 are employed for the analysis. The seemingly unrelated regression model is used to address inter-sectorial linkages.

The study uncovers several findings. First, a high start-up cost substantially leads to productivity losses by limiting the funds available for investment in productivity-enhancing labour and technology and limiting the number of businesses that see the light of day. The productivity impacts of start-up costs are most enormous for industry, followed by services and agriculture. Second, economies with favourable financing environments tend to be more productive economy wide and sector wise. Third, high taxes and tax inefficiency lower productivity by reducing the resource envelope of firms, thus lowering investment amounts. Fourth, poor business infrastructure inflicts the most damage on productivity. Lastly, business administration and macroeconomic environments impact sectoral and economy-wide productivity.

SSA economies must strive to lower the cost of starting a business as high start-up costs injure productivity. One way of reducing start-up costs is to create a one-stop shop for registering and formalising a business. Another way is to automate business registration and administrative processes to reduce red tape and corruption.

The authors extend the body of knowledge by analysing sectoral and economy-wide productivity effects of various business climate indicators while accounting for inter-sectoral linkages, cross-sectional dependence and endogeneity.

This study aims to assess the efficiency of managing working capital in 1,388 Indian manufacturing firms from 2008 to 2019 and investigate the effects of firm-specific and macro-level determinants on working capital management (WCM) efficiency.

The current study accommodates a slack-based measure (SBM) in data envelopment analysis (DEA) for computing WCM efficiency. Further, we implement a panel data fixed-effects model that controls for heterogeneity across firms in determining the relationships of selected variables with WCM efficiency.

The results highlight that manufacturing firms operate at around 50 percent efficiency, which is constant throughout the study period. Furthermore, among the selected variables, yield, earnings, age, size, ability to create internal resources, interest rate and gross domestic product (GDP) significantly affect WCM efficiency.

Instead of the traditional models used for assessing efficiency, the SBM-DEA model is unit-invariant and monotone for slacks, implying that it can handle zero and negative data, which overcomes the incapability of prior DEA models. Hence, this provides accurate efficiency scores for robust analysis. Additionally, this paper provides a holistic working capital model recognizing firm-specific and macro-level determinants for a more explicit estimation of the relationship between WCM efficiency and the selected determinants.