Dutch Customs is responsible for supervision on applicable laws and regulations. The Union Customs Code expects Dutch Customs to protect the Union market against non-compliant products and actors. At the same time, Dutch Customs is supposed to facilitate legitimate trade. For non-fiscal laws and regulations, in the Netherlands supervision is a cooperation between the national designated market authority, acting as principal, and Dutch Customs in the role of executive organization with regard to good flows that cross the Union boarder. Both are legally obliged to apply risk management for executing their supervision tasks. For supervision purposes they have to apply risk management to maximise the effect they can achieve with their limited control capacity. To apply risk management effectively, supervising agencies need to gather and use information about (non-) compliance for their compliance management. Risk- based declaration-oriented shipment selections for inspections are part of their supervision strategy.

Dutch Customs aims for smarter law enforcement, based on advanced data analysis and auto detection. Therefore, Dutch Customs is transforming into a more data-driven organization. Using the available data of customs declarations and inspection results for statistically founded targeting choices is not very well developed yet. However, it can be a step forward in becoming data-driven and improve the effectiveness of allocation of scarce resources in an ever-growing global market.

Current evaluation of effectiveness of the targeting process of Dutch Customs for any law enforcement domain focusses on the quantitative goal of achieving the number of inspections as agreed on with the national market authority and the yield of performed inspections regarding detected non-compliance. For targeting choices, the contribution of individual risk indicators on the effectiveness of the targeting process performance is not clear. Currently, evaluating effectiveness of targeting choices is done manually, without using statistics to justify continuing or adjusting them. Furthermore, current monitoring of effectiveness of targeting process performance does not include a dimension that quantifies positive impact of inspection activities for the internal market. These problems are of generic nature for many law enforcement domains covered by Dutch Customs. For this research, statistic evaluation of targeting choices for the law enforcement domain Restriction on use of Hazardous Substances (RoHS) is used to determine how and to which extent statistical analysis of targeting choices is able to contribute to targeting process performance.

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A. Veenstra (Albert), Z. Baida (Ziv)
Customs and Supply Chain Compliance
Rotterdam School of Management

C. van Holland (Christiaan). (2023, March 26). Measuring and improving effectiveness of targeting choices for supervision on the RoHS Directive, with statistical means. Customs and Supply Chain Compliance. Retrieved from http://hdl.handle.net/2105/66297
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