This note outlines the interest of Revenue Administrations (RAs) and National Statistical Offices (NSOs) in the quality of data at their disposal, and how collaboration between these organizations can contribute to improving data quality. The similarities between the data collection and processing steps in revenue administration and in the production of economic statistics underlie meaningful information and data sharing. Mutually beneficial collaboration between RAs and NSOs can be achieved, particularly in efforts to improve the coverage of registers and to update register information; classify economic activity; and analyze joint data to address data shortcomings. Since there are differences in concepts and definitions used in revenue administration and official statistics, dialogue is necessary to ensure the effective use of data from the partner organization. Collaboration can improve the quality of data available to both institutions: for RAs, this can assist in realizing improved taxpayer compliance and revenue mobilization, and for NSOs, tax-administrative data sources may enable expanded coverage of the economy in official statistics and reduce timeframes required for publishing economic time series and national accounts. Together, these outcomes can enhance the policy formulation, planning, and service delivery capability of governments. To that end, this note delineates concrete steps to engender sustainable and meaningful interchange of information and data between the RA and NSO.
The ever-increasing digitalization of businesses has accelerated the need to address the many shortcomings and unresolved issues within the international corporate income tax system. In particular, the customer or “user”—through their online activities—is now considered by many as being a critical driving force behind the value of digital services. Furthermore, the rapid growth of digital service providers over the last decade has made them an increasingly popular target for special taxes—similar to wealth and solidarity taxes—which can also help mobilize much-needed revenues in the wake of a crisis. This paper argues that a plausible conceptual case can be made to tax the value generated by users under the corporate income tax. However, a number of issues need to be tackled for user-based tax measures to become a reality, which include agreement among countries on whether user value justifies a reallocation of taxing rights, establishing the legal right to tax income derived from user value, as well as an appropriate metric for valuing user-generated data if it is ever to be used as a tax base. Furthermore, attempting to tax only certain types of business is ill-advised, especially as user data is now being exploited widely enough for it to be recognized as an input for almost all businesses. Several options present themselves for consideration—from a modified permanent establishment definition combined with taxation by formulary apportionment, to user-based royalty-type taxes—each with their own merits and misdemeanors.
This technical assistance report on Malaysia highlights that the mission aimed to support the Malaysian authorities in improving government finance statistics (GFS) for decision making. The mission reviewed the progress in the implementation of the accounting project to introduce accrual financial reporting standards at the federal government level. The mission identified considerable potential for collaboration between Ministry of Finance (MOF) and Department of Statistics Malaysia (DOSM) with respect to fiscal data collection for other general government sublayers and public nonfinancial corporations. The mission concluded that the general ledger structure is sufficient to produce GFS on both cash and an accrual basis. The mission suggested that collaboration between MOF and DOSM going forward would be necessary to ensure data consistency and to facilitate the explanation of remaining minor differences to users. The mission recommends that the authorities verify the causes for inconsistencies based on recent annual data, and to formally align the collaboration between the institutions.
José Garrido, Mr. Wolfgang Bergthaler, Ms. Chanda M DeLong, Juliet Johnson, Amira Rasekh, Anjum Rosha, and Natalia Stetsenko
To date, the use of empirical data in insolvency law analysis has been sporadic. This paper provides a conceptual framework for the use of data to assess the effectiveness and efficiency of insolvency systems. The paper analyzes the existing sources of data on insolvency proceedings, including general insolvency statistics, judicial statistics, statistics of insolvency regulators and other sources, and advocates for the design of special data collection mechanisms and statistics to conduct detailed assessments of insolvency systems and to assist in the design of legal reforms.
Over the past decade and beyond, the need for a modern anti-money-laundering strategy has become widely accepted internationally. Depriving criminal elements of the proceeds of their crimes has increasingly been seen as an important tool to combat drug trafficking and, more recently, as a critical element in fighting organized crime, corruption, and the financing of terrorism, and maintaining the integrity of financial markets. The first few financial intelligence units (FIUs) were established in the early 1990s in response to the need for countries to have a central agency to receive, analyze, and disseminate financial information to combat money laundering. Over the ensuing period, the number of FIUs has continued to increase, reaching 84 in 2003. This handbook responds to the need for information on FIUs. It provides references to the appropriate Financial ActionTask Force (FATF) standards wherever appropriate.
The paper outlines a general framework for statistical legislation. The implications of statistical legislation for the whole statistical system, as well as for centralized versus decentralized statistical systems, are addressed. The general framework is spelled out by identifying "essential" components of statistical legislation. The paper illustrates how these components can be applied to different country situations, and it draws attention to a number of additional topics for discussion and areas for future study in statistical legislation. It also brings together summary descriptions of the statistical legislation of a large number of countries that underlie the derivation of the essential components. It thus provides a reference for countries considering new or revised statistical legislation.