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Tax amnesty (TA) schemes are typical in developing countries. Governments’ claims and suppositions are continually heightened; however, this may differ in actuality. This study aims to present an overview of the effectiveness of TA schemes and the problems they raise in implementing anti-money laundering regulations.

This study used a qualitative research design. Content analysis was used to analyse research articles, reports, legal documents and news articles.

Every amnesty offered in Pakistan from 1956 to 2018 failed to meet government expectations. Instead, the continuity resulted in an irrepressible black economy. The black economy’s uncontrollability undermines tax collection and hinders a robust anti-money laundering regime. Significantly, tax holidays with discrepant legislation strengthen evaders, plunderers and launderers. These policies severely impede the implementation of anti-money laundering policies in the financial institutions of Pakistan. Additionally, Pakistan's geopolitical location, circumstance and war against terror cannot afford any policy that provides monetary relaxation to offenders.

There is no concrete evidence to support long-term economic progress through the implementation of amnesty schemes as a revenue collection policy. This study evaluates previous studies and findings to understand the effect of tax amnesties on the financial industry of Pakistan. The findings have practical implications for tax collection authorities, policymakers and international financial bodies.

Previous studies have discussed the advantages and disadvantages of Pakistan’s regular tax amnesties. However, this study discusses the implementation of TA schemes concerning anti-money laundering regulations and customer due diligence by financial institutes and provides suggestions to minimise its negative implications.

Pakistan has made significant progress since its birth in 1947, keeping in mind the enormous difficulties it was confronted with at that time. Pakistan's development has not been commensurate with its potential. The formation of Pakistan, as is the case with a number of developing countries in Asia, South America and Africa, is a story of betrayal by its politicians and leaders, the mismanagement and inefficiencies of economic managers, and the pilferage of national wealth and resources by the privileged and influential. This has been compounded by external shocks: the increase of oil prices during the late 1970s, the international recession during the late 80s, and recent economic sanctions against Pakistan. The country is, therefore, now straddled with numerous economic, social and political problems.

The purpose of this paper is to compute an aggregate misalignment index using a multiple indicator approach to identify under- or over-valuation of house prices in Malta based on fundamentals.

A total of six indicators are used that capture households, investors and system-wide factors: the house price-to-Retail Price Index ratio, the price-to-hypothetical borrowing volume ratio, price-to-construction costs ratio, price-to-rent ratio, dwelling investment-to-GDP ratio and the loan bearing capacity. The weights are derived using principal component analysis. The analysis is performed using both the house price indices of the National Statistics Office (NSO) and the Central Bank of Malta (CBM), which are based on contract and advertised prices, respectively.

House prices in Malta were overvalued by around 20 to 25 per cent in the pre-crisis boom. This disequilibrium started to be corrected following the decline in house prices, with the CBM and NSO house price cycles reaching a trough in 2013 and 2014, respectively. At the trough, house prices were undervalued by around 10 to 15 per cent. Since then, house prices started to recover although the recovery in advertised prices was more pronounced compared to that based on contract prices. In mid-2017, advertised house prices were slightly overvalued, while contract prices still have to reach their equilibrium level. The dynamics from the misalignment index, including its peaks and troughs, are remarkably similar to the range derived from statistical filters.

Estimates of house price misalignment have both economic and financial stability implications.

This paper allows for a decomposition of the house price cycle, tailored for the particular characteristics of the Maltese housing market. It also takes into account the relationship between house prices and private sector rents, which in recent years have been buoyed, among other factors, by the high inflow of foreign workers and changing patterns in the tourism industry.

This study aims to evaluate and investigate the existing process of establishing a banking relationship with politically exposed persons.

This study used qualitative techniques of semi-structured interviews with senior compliance officers of financial institutes in Pakistan.

This study found that the existing mechanism of identification and verification of politically exposed persons (PEPs) is ineffective. Financial institutes face challenges like the quality of name screening data sets, cost of identification and verification, role and control of the regulator, the influence of politically exposed persons, the opaqueness of laws and international connections of the politically exposed persons. Further, financial Institutes are burdened by regulators to perform robust PEP customer due diligence but do not guide and provide the right tools.

This paper aims to find challenges faced by financial institutes before onboarding the PEPs. Further, very limited studies on this topic have been conducted in Pakistani context.

In the presence of informal sector in the country, designing an energy policy and the pursuit of higher economic growth become challenging for emerging economies. These economies are usually resource starved, and the presence of underground economy leads to faulty estimates of energy demand. The authors explore the energy–growth nexus in the presence of underground economy for Pakistan, an emerging economy host to large informal sector and facing recurring energy crises.

The authors evaluate the impact of underground economy on energy demand in the presence of explanatory variables, including official gross domestic product (GDP), foreign direct investment and financial development. The authors first assess the influence of official economy on the consumption of energy. The authors investigate how energy consumption is influenced solely by underground economy. Finally, the authors evaluate the impact of true GDP on the energy consumption. The authors employ combined cointegration method of Bayer and Hanck (2013) and then apply vector error correction model.

The results reveal that official GDP, underground economy and true GDP positively and significantly affect energy consumption in both short and long run. Similarly, financial development as well as foreign direct investment enhance energy consumption. The authors find unidirectional causality between energy consumption and official GDP variables (OGDP → EC), underground economy (UE → EC) and true GDP variables (TGDP → EC) in the long run. The authors observe bidirectional causality in the short run between energy consumption and official GDP (OGDP ↔ EC) and true GDP (TGDP ↔ EC).

To the best of the authors' knowledge, no study examines the causal relationship of energy consumption and underground economy. Overall, the findings assist policymakers to consider and implement different energy-related policies considering the significant role of underground economy for energy consumption in Pakistan.

A measure of how much money is laundered is required to determine the effectiveness of any anti-money laundering regime and the reduction of money laundering in targeted areas. In the absence of useful estimates, authorities need to look at the best quality data available to arrive at a meaningful estimate and a consequent target for reduction of money laundering. Since tax crimes are viewed as one of the top three sources of laundered money, an understanding of the underlying predicate offence – tax evasion – may be indicative of the values or volumes involved in order to facilitate a target setting process. It is suggested that a “whole of government approach”, as is advanced by the OECD, is applied between the tax administration and the financial intelligence centre in South Africa. The paper aims to discuss these issues.

By reviewing tax gap and money laundering estimation models and results from South Africa's first tax amnesty, it is proposed that micro analysis methodologies are applied to arrive at an estimate of the size and impact of money laundering which results from tax evasion practices.

By making basic inferences from the results of the 2003 voluntary disclosure programme, it is estimated that a potential revenue gap of between ZAR4 billion and ZAR12 billion exists for personal income tax alone and that the value of personal assets acquired from the proceeds of crime can, at any time, be as high as ZAR1.4 trillion.

In the absence of empirical and statistical data, it is necessary for authorities in developing countries to identify and make use of the most relevant and detailed data to assess its effectiveness in identifying, quantifying and reducing money laundering.

The purpose of this article is to demonstrate that granting general amnesty to thousands of black-money holders in Bangladesh has failed to make any positive impact on the development of its securities market. Rather, such a move or mercy by the successive governments over the years has basically increased corruption in the country.

The article relies on both primary and secondary materials. An archival analysis of the materials has been carried out in this research.

The major findings are that whitening black money is legally flawed, morally indefensible and economically unsound; the ultimate outcome of the whitening opportunity appears to be the protection of corruption, the prevention of which is imperative for the sustainable development of the national economy of Bangladesh; and no credible evidence has been found to support the underlying assumption that this immunity offered over the past four decades has benefited the economy.

Its originality is evident in the analysis of the materials in a cohesive way to prove a hypothesis that the immunity granted to the black-money holders has been a flawed initiative of the successive governments of Bangladesh to increase investment.

The article aims to rely on the global wealth chains theory to study the effect of tax amnesty on anti-money laundering (AML) in Bangladesh. This theory is an analytical framework intended to identify how wealth is repackaged and disguised to move it out of spheres of state oversight, regulation and taxation. It introduces the law on AML in Bangladesh, pointing out the revised Financial Action Task Force (FATF) recommendation that has expanded the scope of money laundering predicate offences to cover both indirect and direct tax crimes and smuggling in relation to customs and excise duties and taxes.

Interviews in Bangladesh and desk research.

There are some gaps in the scope of the offence, the coverage of predicate offences and the types of property covered by the money laundering offence. There is also an absence of financial penalties available to effectively sanction legal persons. The current money laundering offences are derived from the ordinance issued in 2008 by the caretaker government (2006-2008). The current act contains detailed definitions of money laundering and property and a list of predicate offences and sanctions for the offence. However, there are some gaps in the physical elements of the offence, and the range of its predicate offences remains too narrow. Adding tax evasion to its list of predicate offences will, given the history of money laundering in Bangladesh, aid in combating illegal transfer of assets abroad and recovery of the same and abolish tax amnesty.

There is no paper that has analysed the linkages between money laundering and taxation in developing countries, especially Bangladesh.