›› 2016, Vol. 28 ›› Issue (1): 53-61.

• 技术与创新管理 • 上一篇    下一篇

不同环境政策工具对技术创新的影响分析——基于2004-2011年我国省级面板数据的实证研究

余伟1, 陈强2, 陈华1   

  1. 1. 南昌大学管理学院, 南昌 330031;
    2. 同济大学经济与管理学院, 上海 200092
  • 收稿日期:2014-01-19 出版日期:2016-01-30 发布日期:2016-02-01
  • 作者简介:余伟,南昌大学管理学院讲师,博士;陈强,同济大学经济与管理学院教授,博士生导师。
  • 基金资助:

    国家软科学研究计划项目(2013GXS1D005)。

Analysis of the Impact of Different Environmental Policy Instruments on Technology Innovation: Evidence from China's 30 Provinces' Panel Data from 2004-2011

Yu Wei1, Chen Qiang2, Chen Hua1   

  1. 1. School of Management, Nanchang University, Nanchang 330031;
    2. School of Economics & Management, Tongji University, Shanghai 200092
  • Received:2014-01-19 Online:2016-01-30 Published:2016-02-01

摘要:

利用2004-2011年我国省级面板数据,将环境政策工具分为直接管制、经济手段和"软"手段,并分别以"三同时"环保投资、人均排污费收费和环境新闻报道量作为度量指标,并控制工业企业规模、所有制结构、贸易开放、经济发展水平等因素,分析不同类型环境政策工具对区域技术创新的影响。研究结果表明,从全国层面看,直接管制和经济手段对R&D投入都有效果不显著的促进作用,但"软"手段对R&D投入具有显著的促进作用。分区域看,直接管制对东部和内陆地区R&D投入都有效果不显著的促进作用;经济手段对东部R&D投入具有效果不显著的抑制作用,但对内陆地区R&D投入具有显著的促进作用;"软"手段对东部R&D投入具有显著的促进作用,但对内陆地区R&D投入具有效果不显著的促进作用。

关键词: 直接管制, 经济手段, ", 软", 手段, R&, D投入, 面板模型

Abstract:

This paper analyses the impact of different type environmental policy instruments on technology innovation based on the panel data of China's provinces over the period of 2004-2011. We classify environmental policy tools into three major categories: direct regulation, economic instruments and soft instruments, using "three-simultaneity" investment, sewage charges and environment news quantity as the proxy variables respectively. The results show that the direct regulation and economic instruments have significant positive impact on R&D expenditure of China, and the effect is not significant, while the soft instruments have a significant positive impact on R&D expenditure of China. This paper also finds that the result is diverse in different regions. The direct regulation has a positive impact on R&D expenditure of eastern and inland region, and the effect is not significant. The economic instruments have a negative impact on R&D expenditure of eastern region, while have a significant positive impact on R&D expenditure of inland region. The soft instruments have a significant positive on R&D expenditure of eastern, while have no significant positive on R&D expenditure of inland region.

Key words: direct regulation, economic instruments, soft instruments, R&D expenditure, panel model