基于电力数据的湖南省去产能政策效应研究
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  • 英文篇名:Study on Capacity Reduction Policy Effect in Hunan Province Based on Power Data
  • 作者:吴书胜 ; 陈佳 ; 张允 ; 王甜甜 ; 李文英
  • 英文作者:WU Shusheng;CHEN Jia;ZHANG Yun;WANG Tiantian;LI Wenying;State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute;State Grid Hunan Electric Power Company Limited;State Grid Hengyang Power Supply Company;State Grid Loudi Power Supply Company;
  • 关键词:电力数据 ; 去产能 ; 政策效应
  • 英文关键词:power data;;reduce capacity;;policy effect
  • 中文刊名:HNDL
  • 英文刊名:Hunan Electric Power
  • 机构:国网湖南省电力有限公司经济技术研究院;国网湖南省电力有限公司;国网湖南省电力有限公司衡阳供电公司;国网湖南省电力有限公司娄底供电公司;
  • 出版日期:2019-06-25
  • 出版单位:湖南电力
  • 年:2019
  • 期:v.39;No.249
  • 语种:中文;
  • 页:HNDL201903004
  • 页数:4
  • CN:03
  • ISSN:43-1271/TK
  • 分类号:18-21
摘要
去产能作为深入推进供给侧结构性改革的重要内容,探析湖南省去产能推进效果和政策效应对于实现高质量经济发展的重要意义。以湖南省电力数据为依托,选择煤炭、钢铁、水泥等高耗能行业为研究对象,构建向量自回归(VAR)模型分析去产能冲击下各行业的响应情况,结果发现短期内产能变化对行业存在一定程度的震荡性冲击,但长期受市场出清和行业周期的影响,震荡冲击效应逐渐被市场消化吸纳,最终引致技术革新,企业恢复生产,实现营业收入和利润的增加。综述研究结论提出相关政策建议。
        As an important content of deepening supply-side structural reform,capacity reduction in Hunan province is of great significance to achieve high-quality economic development by exploring the efficiency and policy effect of capacity reduction. In this paper,based on power data in Hunan province,coal,steel,cement and other energy-intensive industries are selected as the research object,and vector autoregressive( VAR) model is constructed to analyze the effect of various industries under capacity reduction. It is found that the short-term capacity change impact is associated with some degree of shock to the industry,but in the long term it is affected by market clearing and industry cycle,and shock hit effect gradually is absorbed by the market,eventually leading to technological innovation,enterprise reply production and realizing the increase of the revenue and profit. Finally,based on the above research conclusions,relevant policy recommendations are proposed.
引文
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