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This study aims to carry out a critical analysis of the methods used to deal with the regulatory impact assessment while proposing an alternative method to overcome some of the drawbacks of the aforementioned methods.

To achieve the objective of this work, the methods currently used in regulatory impact analysis are presented by highlighting their scope and the problems they may pose during their applications. After that, the adjusted variant of radial measure is suggested as an alternative method to the aforementioned methods while showing its relevance with regard to other methods using pertinent criteria. Finally, for concretization, a case study related to the sanctions against Russia after its invasion of Ukraine is presented.

The findings show that regulations related to the sanctions against Russia are good enough, with a score of 0.846. However, this score is less good in several countries like Germany (0.671), Italy (0.677) and France (0.745) and in the poorest countries.

The originality of this work resides in using a novel method in the regulatory impact analysis field, which is adjusted variant of radial measure. This method increases the effectiveness of the regulatory impact assessment.

Factors of production (labour, land, capital), technology and technical progress are usually cited as the main sources of economic growth and development. However, there are a number of other factors that have a significant impact on the possibilities and extent of their use or their further improvement and development. These factors undoubtedly include the institutional environment, within which corruption is also a consideration. In this chapter, attention will be focused on the various institutional variables that are used to assess the quality of a country's institutional environment, including corruption. A number of studies have shown that a quality institutional environment and low levels of corruption are prerequisites for long-term economic growth. Using an analysis of individual indicators of the Worldwide Governance Indicators (WGIs), published annually by the World Bank, supplemented by the Corruption Perception Index (published by Transparency International), we look at where Czechia has moved over the last decade or two in terms of institutional quality and corruption.

This paper aims to raise, and consider, first-order questions about the United Kingdom’s anti-money laundering (AML) regime.

The paper contrasts the original rationale for introducing AML and asset recovery to the UK with data on the assets recovered from organised crime and those involved in drug trafficking. It does this by analysing historical and contemporaneous literature – both official and academic.

When assessed against its original aims of combating drugs and organised crime, the tentative conclusion is that the UK’s AML system does not appear to be worth the candle.

While based upon publicly available information that is far from ideal, the analysis raises credible questions as to whether the UK’s AML regime is worthwhile and whether it could be done differently.

Raises the question of whether the impact of the AML regime could be made worthwhile by investing a great deal more in those law enforcement agencies that use the suspicious activity reporting regime. It also raises the question as to whether the AML regime could be re-purposed to achieve aims that are different from the original.

Given the financial costs, which run into billions of pounds, and the fact that the regime has failed to have a significant impact on the level of drug trafficking or the revenue of organised criminals, the paper raises questions as to when the policy can be re-designed or abandoned.

While most other analytical work simply makes suggestions as to how to improve the number of inputs into the AML system, this paper provides a critical analysis of the costs and benefits of the AML regime in the UK.

Synthesizing from the institutional theory and social network theory, this study investigates factors influencing green innovation performance in new ventures.

The findings show that the dimensions of internal social network; heterogeneous network and tie strength have significant positive effects on proactive environmental strategy based on a sample of 300 new ventures in China.

The results further support the mediating role of proactive environmental strategy on internal organizational networks and green innovation performance of new ventures. The study further investigated the moderating role of the regulatory quality as a dimension of institutional environment in China. The results show that the regulatory quality positively moderates the relationship between proactive environmental strategy and green innovation performance. Policy and managerial implications are further discussed.

Over the past 20 years, green innovation has increasingly attracted the attention of policymakers and scholars. However, most studies have focused on mature ventures, and little attention has been given to how newly established ventures attain green innovation performance.

In this context, this study aims to obtain information about the noise levels emitted to the environment by modeling the noise map of Dalaman Airport and correlating these noise values according to the Environmental Noise Directive (END) and World Health Organization (WHO) limits.

Dalaman Airport Aeronautical Information Publication and 2022 flight data from the airport were analyzed. The noise levels exposed to schools and health institutions were determined using the Cnossos–Eu calculation method.

Maximum noise levels were obtained as L_den 92.29 dB(A), L_day 85.24 dB(A), L_evening 89.00 dB(A) and L_night 85.23 dB(A) according to the noise indicators. Limit values recommended by the END and WHO according to noise indicator types and measurement results were correlated and evaluated.

In the noise modeling of Dalaman Airport, there has previously been no evaluation of the noise limits recommended according to END or WHO in the literature.

With sanctions becoming an increasingly important tool in ostracising autocratic regimes from western markets, the need for effective enforcement of sanctions and anti-money laundering (AML) is increasing, and the global AML regime will be the backbone to detecting evasion of sanctions. This regime, however, has been widely criticised as ineffective. This paper aims to discuss issues with the current sanctions/AML regime and propose a reward scheme for whistleblowers to enable asset seizures that is not reliant on its effectiveness.

This paper reviews weaknesses in the global AML regime, provide suggestions on how to design whistleblower reward programmes, based on agency experience and empirical evidence, as well as elaborate on how to use such programmes in the AML context.

This study concludes that for reward programmes to be effective in the context of AML and sanctions enforcement, they need to include witness protection and leniency for money launderers, though not for those convicted of a criminal offence associated with the predicate crime. Moreover, rewards should be mandatory and scale with the amount of money seized or confiscated, and the cap on monetary rewards should be higher than it is under the Kleptocracy Asset Recovery Rewards Programme in the USA.

In contrast to how the USA went about implementing rewards in this area under the Kleptocracy Asset Recovery Rewards Programme, this study argues that these programmes should be designed differently. This study also provides novel advice to governments on different design dimensions in the AML context and a model with three crucial pillars along with other design dimensions that should be considered.