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Economic and environmental impacts of pollution control in a system of environment and economic interdependence
Institution:1. Universidade do Minho, Campus de Azurém, 4800-058 Guimarães, Portugal;2. CEB-Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4700-320 Braga, Portugal;1. Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, Roma 00161, Italy;2. Department of Internal Medicine and Medical Specialities, Rheumatology Unit, Sapienza University of Rome, Viale del Policlinico 155, Roma 00161, Italy;3. I.R.C.C.S Neuromed, Località Camerelle, Pozzilli (CB) 86077, Italy;1. State Key Laboratory of Marine Environmental Science, Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian 361102, China;2. Environment Science Research Center, College of the Environment and Ecology, Xiamen University, Fujian 361102, China;3. Department of Chemical Engineering, Indian Institute of Technology Guwahati, Assam, 781039, India;4. Department of Environmental Engineering, National I-Lan University, No.1, Sec.1, Shen-Lung Road, Yilan 26047, Taiwan
Abstract:The importance of the rate of change of the pollution stock in determining the damage to the environment has been an issue of increasing concern in the literature. This paper uses a three-sector (economy, population and environment), non-linear, discrete time, calibrated model to examine pollution control. The model explicitly links economic growth to the health of the environment. The stock of natural resources is affected by the rate of pollution flows, through their impact on the regenerative capacity of the natural resource stock. This can shed useful insights into pollution control strategies, particularly in developing countries where environmental resources are crucial for production in many sectors of the economy. Simulation exercises suggested that, under plausible assumptions, it is possible to reverse undesirable transient dynamics through pollution control expenditure, but this is dependent upon the strategies used for control. The best strategy is to spend money fostering the development of production technologies that reduce pollution rather than spending money dealing with the effects of the pollution flow into the environment.
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