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Introduction: As Internet usage increases, so does widespread concern about surveillance and privacy. While most of the research primarily focuses on a particular digital setting, these problems cut beyond national boundaries and impact economies everywhere.

Purpose: This study critically analyses the Data Protection Bill 2019’s effectiveness within the context of surveillance and privacy in India’s digital economy. Investigating critical provisions of the bill, comparing it to international privacy laws and standards, and identifying potential gaps and weaknesses, this study provides insights into the bill’s ability to protect personal data and limit surveillance practices.

Methodology: The chapter is based on secondary sources of data, including academic articles, government reports, and news articles on the topics of surveillance, privacy, and the Data Protection Bill 2019 in India, involving content and critical discourse analyses.

Findings: The Data Protection Bill 2019 evaluation reveals a set of provisions with the overarching intent to safeguard citizens’ privacy worldwide and curtail undue surveillance practices exercised by both governmental bodies and private enterprises. Intricately delineates the entitlements of individuals concerning their data, encompassing vital aspects such as the right to access, rectify, and erase their data, the bill mandates stringent adherence to the principle of explicit consent when collecting and processing personal data.

Nevertheless, a comprehensive analysis also reveals several gaps and constraints inherent in the bill’s framework. One such area is the inclusion of exemptions for governmental entities, an aspect that raises international concerns regarding potential disparities in data protection practices.

Government spending plays a crucial role in fiscal policy in any country, both as a tool for implementing individual government policies and as a possible instrument for mitigating uneven economic developments and economic shocks. This chapter provides direct empirical evidence on the development and structure of general government expenditure and its relationship with real economic growth in Czechia and the European Union countries. Compared to theoretical recommendations, general government expenditure has not been used as a stabiliser in Czechia and EU countries and has been observed to be pro-cyclical in the period under review. Granger causality analysis identified the direction of causality between the macroeconomic variables analysed and found that in most cases economic growth came first, followed by government spending.

This study aims to investigate the association between Corporate Social Responsibility (CSR) and tax avoidance, as well as the effect of earnings performance on this link. We suggest a negative association between CSR and tax avoidance based on the Stakeholder Theory. We also suggest that earnings performance moderates this relationship. Based on a sample of 25 Tunisian firms during the years 2012–2017, data were gathered via annual reports of the companies, and a survey-questionnaire was used to gather CSR information. The research design uses ordinary least squares (OLS) regression to investigate the association between CSR and tax. In addition, the analysis is performed using panel data to account for heterogeneity at the individual level and over time. Using this research design, the study provides a comprehensive examination of the effect of CSR on tax avoidance among Tunisian companies over a 6-year period. According to our findings, companies that participate in CSR initiatives show less tax avoidance than those that do not. Moreover, in line with the Slack Resource Theory, for businesses with higher earnings, the negative link between CSR and tax avoidance is stronger. Our research demonstrates that businesses may utilize CSR to improve their standing in the community and lower the likelihood of tax avoidance. These results suggest that profitable firms may have more funds available to spend on CSR initiatives and, as a result, are more motivated to maintain a positive reputation by refraining from tax avoidance strategies.

Introduction: In the context of Sri Lanka, this study compares how institutions and financial development (FD) affect economic growth (EG) and inclusive growth (IG).

Purpose: The well-structured administration and judicial system at the provincial level have been established against the socioeconomic vulnerabilities in the country for an extended period. Still, the country as a whole and provincial level is experiencing huge income and social inequality, though there are required provisions for enhancing the well-being of the people.

Methodology: The study consists of data from the nine provinces from 2013 to 2019. The analysis used the Dynamic Spatial Durbin Model (D-SDM) to explore the spatial dependencies between the provinces. Two models were developed: the interaction of the financial service activities (FSA) and insurance, reinsurance, and pension (INPEN), representing the FD with the EG and IG with and without. The IG index was estimated by principal component analysis (PCA) using indicators of the four dimensions. The results indicated spatial dependency among FD’s interaction with EG when provincial tax (PROTAX) and provincial expenses (PROEXP) are the provincial institutions.

Findings: The IG model results showed the IG’s spatial dependency moderated by the FD and only the IG model between the provinces. PROEXP showed a significant positive spillover impact among provinces towards the IG.

Practical Implications: The finding inform economic policy making while identifying weaknesses in existing local governments. Attention must be given to how poverty can be reduced, enhancing the well-being of the people with the proper channelling of finance and government institutional mechanisms.