• DocumentCode
    2708190
  • Title

    The neighborhood effects of environmental regulation and total factor productivity growth: Insights from a spatial econometric approach

  • Author

    Zhao, Xiaowei ; Zhang, Fan

  • Author_Institution
    Sch. of Econ., Remin Univ. of China, Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper explores the impact of environmental regulation on total factor productivity growth, from the perspective of a spatial econometric approach. The empirical findings are: (1) TFP growth increased slightly over the years for 1992-2008 in China, depending mainly on the technical change. (2) Spatial dependence and the productivity growth effect are statistically significant and positive. (3) Local environmental regulation has a positive impact on TFP growth, confirming the “Porter Hypothesis”. However, the neighboring environmental regulatory has a negative effect on the local TFP growth, and moreover, the development of the provinces are more susceptible to regulatory effort neighboring geographic-based weight than that of income-based weight.(4)There is little evidence supportive of an environmental “Race to Bottom” in Chinese provincial environmental regulation during the sample periods.
  • Keywords
    econometrics; environmental economics; environmental legislation; local government; productivity; statistical analysis; China; Chinese provincial environmental regulation; Porter hypothesis; geographic-based weight; income-based weight; local environmental regulation; spatial dependence; spatial econometric approach; statistical significance; technical change; total factor productivity growth; Data models; Econometrics; Indexes; Mathematical model; Productivity; Testing; China; TFP growth; environmental regulation; neighborhood effect; spatial dependence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980810
  • Filename
    5980810