This article presents a nonlinear mathematical optimization model that determines new rates for the Urban Property Tax (IPTU) on the residential apartments in the city of Salvador (BA). It considers the progressive increase in rates, the market values of properties, the taxpayers' average incomes, and the usual methodologies of the tax system. The results obtained in applying this model demonstrate that is possible to set tax rates in an objective and equitable manner in all kinds of urban property.
Land and Urban Property Tax (IPTU); public finance; tributary justice; operations research; nonlinear programming modeling
