• DocumentCode
    2337218
  • Title

    Energy consumption, economic growth and environmental pollution in Gansu Province: Evidence from 1990–2009

  • Author

    Bai, Yongping ; Cai, Fengtao

  • Author_Institution
    Sch. of Geogr. & Environ., Northwest Normal Univ., Lanzhou, China
  • fYear
    2012
  • fDate
    3-5 June 2012
  • Firstpage
    373
  • Lastpage
    378
  • Abstract
    This paper applies the Co-integration Tests, Vector Error Correction Model(VECM), Granger Causality Relationship Test and Variance Decomposition Method(VD) to examine the interactions and characteristics of energy consumption, GDP and environmental pollution in Gansu Province for the 20 years from 1990-2009. The empirical results show that there is a long-term equilibrium relationship between economic growth and energy consumption, but it is very weak and the beneficial relationship between them has not been formed; and it exists the one-way causality between energy consumption and environmental pollution, economic growth and environmental pollution, energy consumption and economic growth have significant positive effect on the environmental pollution, and the effect is increasing, but it is difficult to reduce the environmental pollution emissions in the short term in Gansu Province.
  • Keywords
    causality; energy consumption; environmental economics; error correction; pollution control; regression analysis; socio-economic effects; Gansu province; Granger causality relationship test; VECM; cointegration tests; economic growth; emission reduction; energy consumption; environmental pollution; variance decomposition method; vector error correction model; Economic indicators; Energy consumption; Environmentally friendly manufacturing techniques; Indexes; Mathematical model; Pollution; Gansu Province; economic growth; energy consumption; environmental portion; measurement analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Applications (ISRA), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2205-8
  • Type

    conf

  • DOI
    10.1109/ISRA.2012.6219202
  • Filename
    6219202