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Is cooperation between the public sector and the private sector promoted in the prevention and fight against corruption of Politically Exposed Persons in Panama?
Yes, cooperation between the public sector and the private sector is promoted in the prevention and fight against PEP corruption in Panama. Dialogue and collaboration between both sectors is encouraged to develop policies and practices that promote transparency, business ethics and social responsibility, as well as to identify and address possible risks and cases of corruption.
What are the possible sanctions for an employee who files a false labor claim in Mexico?
Filing a false labor claim in Mexico can have legal consequences, including the possibility of being punished by the court. In addition, it can damage the person's credibility with future employers and affect their reputation in the workplace.
What are the security measures implemented in Argentina to protect the privacy of disciplinary history information?
In Argentina, security measures to protect the privacy of disciplinary history information may include the use of secure data storage systems, access restrictions, and strict compliance with personal data protection laws. Ensuring confidentiality is essential to respecting the privacy rights of individuals.
What happens if a food debtor moves abroad in Panama?
If an alimony debtor moves abroad, he or she is still obligated to pay alimony in Panama. In this case, ACODECO can take measures to ensure compliance, including through international agreements.
What is the difference between the Fiscal Information Registry (RIF) and the identity card in Venezuela?
The Fiscal Information Registry (RIF) is a tax identification number used in Venezuela for commercial and tax purposes, while the identity card is a personal identification document used in general.
What role do new technologies play in preventing money laundering in Argentina?
New technologies play an increasingly important role in preventing money laundering in Argentina. Data analytics, artificial intelligence and machine learning tools are being used to identify money laundering patterns, detect suspicious transactions and improve the efficiency of regulatory compliance processes at obliged entities.
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