资源与产业 ›› 2022, Vol. 24 ›› Issue (4): 1-8.DOI: 10.13776/j.cnki.resourcesindustries.20211221.006

• 非主题来稿选登 •    下一篇

基于投入产出模型的钢铁去产能政策的节能减排效应分析

孙晓奇, 施青   

  1. (深圳大学 中国海外利益研究院,广东 深圳 518060)
  • 收稿日期:2021-08-08 修回日期:2022-03-13 出版日期:2022-08-20 发布日期:2022-08-31
  • 通讯作者: 施青,博士、助理教授,主要从事金融和经济网络问题研究。Email: shiqing@szu.edu.cn
  • 作者简介:孙晓奇,博士、助理教授,主要从事投入产出分析、资源经济与管理和复杂网络应用研究。E-mail: sunxiaoqi@szu.edu.cn
  • 基金资助:
    国家自然科学基金青年项目(41901246);教育部人文社会科学研究青年项目(20YJC790110);广东省粤深联合基金项目(2019A1515110693)

ENERGY CONSERVATION AND EMISSION REDUCTION EFFECTS OF STEEL-CAPACITY-CUTTING POLICY BASED ON INPUT/OUTPUT MODEL

SUN Xiaoqi, SHI Qing   

  1. (Institute of China's Overseas Interests, Shenzhen University, Shenzhen 518060, China)
  • Received:2021-08-08 Revised:2022-03-13 Online:2022-08-20 Published:2022-08-31

摘要: 基于我国2017年投入产出表数据和标准煤碳排放系数,根据政策参数设置不同的去产能情景,采用单一区域环境投入产出模型测算不同情景下的直接和完全节能减排效应,以期为后续相关部门的政策效果评估提供实证支持。研究表明:1)在去产能2 500万t的情景下,可直接节约能源1 900万t标准煤,完全节约3 200万t标准煤消耗;在该情景下,可直接减少4 000万t的二氧化碳排放,完全减排6 837万t。2)在去产能3 750万t的情景下,直接节能2 856万t左右标准煤,完全节能量达4 815万t;在该情景下,可直接减少约6 084万t二氧化碳排放,完全减排量达1.03亿t。3)在去产能1亿t的情景下,直接节能量达7 600万t标准煤,占2017年全国能源消费量的1.94%,完全节能量1.28亿t标准煤,占2017年全国能源消费量的328%;直接减少二氧化碳排放1.62亿t,完全减排量高达2.73亿t。4)在去除产能1.5亿t的目标下,直接节能量为1.14亿t标准煤,完全节能量为1.93亿t标准煤,占2017年全国能源消费量的4.93%;该情景下,直接减少二氧化碳排放2.43亿t,完全减排量达4.10亿t。钢铁产业去产能政策具有显著的节能减排效应,完全节能减排效应远大于直接节能减排效应,去除过剩产能可为我国应对气候变化做出实质性贡献。但是,钢铁产业是我国的一个重要产业,牵扯到上下游的大量就业,因此在去产能过程中需要综合考虑就业因素,有序去除过剩产能。本文的研究不足是未考虑去产能过程中能效提高带来的缩减效果和能源结构调整带来的减排效应,未来需要进一步完善。

关键词: 去产能, 节能减排, 投入产出模型, 钢铁产业

Abstract: This paper, based on China's input/output data of 2017 and carbon emission coefficient of standard coal, uses sole regional environmental input/output model to estimate the direct and complete energy conservation and emission reduction effects under different steel-capacity-cutting scenarios, aiming at providing supportive study for policies evaluation. Under the scenario of 25 million tons capacity cutting, 19 million tons of standard coal can be saved directly, 32 million tons in total saving, and 40 million tons of carbon dioxide emission can be directly reduced, 68.37 million tons in total reduction. Under the scenario of 37.5 million tons capacity cutting, 28.56 million tons of standard coal can be saved directly, 48.15 million tons in total saving, and 60.84 million tons of carbon dioxide emission can be directly reduced, 103 million tons in total reduction. Under the scenario of 100 million tons capacity cutting, 76 million tons of standard coal can be saved directly, 1.94% of China's energy consumption in 2017, and 128 million tons in total saving, 3.28% of China's energy consumption in 2017; and 162 million tons of carbon dioxide emission can be directly reduced, 273 million tons in total reduction. Under the scenario of 150 million tons capacity cutting, 114 million tons of standard coal can be saved directly, and 193 million tons in total saving, 4.93% of China's energy consumption in 2017; and 243 million tons of carbon dioxide emission can be directly reduced, 410 million tons in total reduction. Steel-capacity-cutting policy has notable energy-saving and emission-reduction effects and the total energy-saving and emission-reduction far outweighs the direct. Capacity-cutting substantially contributes to China's response to climate changes. However, steel sector is one of China's major industries containing large employment in its up- and down-stream. Employment shall be comprehensively considered amid steel-capacity-cutting process in an orderly way. This paper does not cover the diminishing effects from raised energy efficiency and emission reduction effects from adjusted energy structure, which needs further studies.

Key words: capacity-cutting, energy conservation and emission reduction, input/output model, steel industry

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