PREDICTION OF ENVIRONMENTAL TAX REVENUES BASED ON CERTAIN ENVIRONMENTAL PROTECTON PERFORMANCE Cover Image

PREDICTION OF ENVIRONMENTAL TAX REVENUES BASED ON CERTAIN ENVIRONMENTAL PROTECTON PERFORMANCE
PREDICTION OF ENVIRONMENTAL TAX REVENUES BASED ON CERTAIN ENVIRONMENTAL PROTECTON PERFORMANCE

Author(s): Bojana Novićević Čečević, Jelena STANKOVIĆ J., Marina Stanojević
Subject(s): Economy, Energy and Environmental Studies
Published by: Visoka škola za poslovnu ekonomiju i preduzetništvo
Keywords: environement performance; environmental tax; sustainability

Summary/Abstract: Significantly increased number of inhabitants, the practice of irrational consumption of resources and previously established patterns of production and business have put the preservation of the environment at risk. Respectful behaviour towards environment can and must preserve limited resources not only for existing, but also for future generations. In this sense, it is necessary to en crease efforts for providing its sustainability. Environmental sustainability encourages a more responsible way of organizing production and people's lives in terms of using domestic materials, reducing the amount of waste, using recycled materials, using renewable energy sources and the like. Also, concern for environmental protection encourages state authorities to enact regulations and set fees in order to prevent long-term negative consequences for the environment. From environmental protection fees, the state can generate significant income that can be used for additional investments necessary for environmental sustainability. It is necessary to make key changes in the behavior of all stakeholders, because if the awareness of environmental protection is not awakened, the concept of sustainability can be threatened. In this sense ,the aim of this paper is to examine the possibility of forecasting the income from environmental protection of countries, based on some of the key performance parameters, and to provide certain recommendations for policy makers

  • Issue Year: 2024
  • Issue No: 1-2
  • Page Range: 187-196
  • Page Count: 10
  • Language: English
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