Research on Green Production of the Iron and Steel Industry Based on DDF-BML Model

Abstract

Although the iron and steel industry serves as the pillar industry of national economic development, the negative effects of its high emission and high pollution characteristics on the environment cannot be ignored. In order to achieve the carbon peaking and carbon neutrality goals at an early time and implement five priority tasks, including cutting overcapacity, reducing excess inventory, deleveraging, lowering costs and strengthening areas of weakness, it is urgent to realize the green production of the iron and steel industry. This paper takes listed iron and steel companies from 2016 to 2019 as research samples, and applies the two-stage Malmquist index based on the directional distance function (DDF) to measure the green total factor productivity (GTFP) of iron and steel enterprises. From macro and micro perspectives, the empirical model is used to explore the main influential factors of gtfp. The empirical results show that the overall gtfp growth rate of iron and steel enterprises is not ideal, falling behind at the end of the manufacturing industry. The promotion effect of R&D investment is limited, and the environmental carrying capacity of the production cluster area is approaching the limit. Based on the above empirical results, this paper proposes the following workable implementation path to the realization of the green production of iron and steel industry: On the one hand, the iron and steel enterprises should pay attention to improve technical efficiency, constantly improve low-carbon production process, optimize industrial layout. On the other hand, the government should guide the digital and intelligent development of the iron and steel industry and strengthen supervision to ensure the safety and stability of the supply of resources in the iron and steel industry.