• DocumentCode
    2960032
  • Title

    The Ripple Effect of Natural Disaster on the Agricultural Industry Chain

  • Author

    Wei, Lai ; Chen, Hong

  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    85
  • Lastpage
    89
  • Abstract
    Agricultural industry chains are increasingly vulnerable to natural disaster such as earthquakes or hurricanes. This paper investigates the ripple effect on the agricultural industry chain which is heavily influenced by the natural disaster. Taking the pig industry chain in the disaster area -Luzhou, Sichuan Province as an illustration, the paper was committed to the dynamics of price adjustment and the causal analysis along the marketing channel on the basis of the time-series analysis and variance decomposition about the weekly price series of pork, hogs and piglets. The estimations constructed by a vector error correction (VEC) model show that price adjustment is asymmetric with respect to both speed and magnitude. The results also reveal a differential impact of the exogenous shock on farmers, processors and retailers, leading to widening of price margins and pointing to imperfect price transmission. Regarding efficiency and equity of the marketing channel our findings are critical, especially at the farm level.
  • Keywords
    agriculture; cause-effect analysis; disasters; earthquakes; market research; pricing; risk analysis; storms; supply chains; time series; agricultural industry chain; causal analysis; earthquakes; farmers; hurricanes; marketing channel; natural disaster ripple effect; pig industry chain; price adjustment; price transmission; time series analysis; vector error correction model; Agriculture; Analytical models; Biological system modeling; Economics; Electric shock; Mathematical model; agricultural industry chain; natural disaster; price; ripple effect; shock;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of e-Commerce and e-Government (ICMeCG), 2010 Fourth International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8507-9
  • Type

    conf

  • DOI
    10.1109/ICMeCG.2010.25
  • Filename
    5628636