Abstract
Steel-manufacturing cities are facing slow economic development and an increasing pressure for improving and protecting their environment, making green economic transformation priority. Located in the capital region, Tangshan is the largest steel producer and is ranked in the top 10 cities in China that have the worst air quality. This study aims to explore an optimisation path to pursue the green transformation of economic development and air-pollution control with incentives on industrial restructure and the implementation of a cleaner production approach. In this study, we construct a green economy transformation decision-making model to establish dynamic optimisation simulation for the period 2016 to 2025. For this purpose, we use integrating methods of system dynamics, input-output modelling, and dynamic multi-objective programming. The simulation results verify the existing a negative development trend under the current situation along with the positive economic development (with acceptable levels of environmental pollution) when there is an increase of investments in clean production technologies. Technology advancement and cost reduction values are explored further. When the technological cost was reduced by 15%, both the highest economic elasticity and an optimal air pollutant control capacity can be achieved simultaneously. Additionally, the growth rate of Tangshan’s GRP can reach 39%, while the NOX and SO2 emissions can be simultaneously reduced by 42% and 36%, respectively by the year 2025 (compared to the emission levels and GRP in 2016). Our study has improved upon previous research methods to put forward a specific optimisation path to achieve green economic transformation for steel-manufacturing cities through industrial structure adjustments and technological updates. This is also conducive to the sustainable development of similar cities that are characterized by heavy industries.
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