The structure of herring product demand in Russia
Russia is experiencing deep structural changes in many areas. For the seafood industry important developments are large increases in household incomes, development of modern super- and hypermarket distribution channels, and product innovations. In the seafood category consumers are adopting new species and new product forms at a rapid rate. Herring is one of the species that is experiencing these changes. The dominant product form has traditionally been whole salted herring, typically sold at open markets. Herring sold in the traditional unprocessed form has been a protein source for poor people, consumed at home. But more processed and expensive product forms that are distributed through modern distribution channels have increased their market share during the data period. We employ a panel data set on monthly per capita demand for different herring products in six Russian regions, from unprocessed to value added products, to test hypotheses on the structure of herring consumption. We estimate dynamic panel data demand systems, with region-specific estimates of price and income elasticities. The six regions in the data set have large differences in average per capita income. Our econometric estimates indicate significant structural regional differences in per capita consumption of different products, also after controlling for income differences. We find that whole herring is generally an inferior good, whereas fillet herring products tend to be normal goods. This suggests that if incomes continue to increase, consumption will shift further from unprocessed to value added herring products.
|Date of creation:||28 Apr 2009|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.uis.no/research/economics_and_finance
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Pesaran, M.H. & Smith, R., 1992.
"Estimating Long-Run Relationships From Dynamic Heterogeneous Panels,"
Cambridge Working Papers in Economics
9215, Faculty of Economics, University of Cambridge.
- Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
- Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
- Badi H. Baltagi & Georges Bresson & James M. Griffin & Alain Pirotte, 2003.
"Homogeneous, heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption,"
Springer, vol. 28(4), pages 795-811, November.
- Badi H. Baltagi & Georges Bresson & James M. Griffin & Alain Pirotte, 2002. "Homogeneous, heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A6-4, International Conferences on Panel Data.
- Badi H. Baltagi & James M. Griffin & Weiwen Xiong, 2000. "To Pool Or Not To Pool: Homogeneous Versus Hetergeneous Estimations Applied to Cigarette Demand," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 117-126, February.
- Maddala, G S, et al, 1997. "Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 90-100, January.
When requesting a correction, please mention this item's handle: RePEc:hhs:stavef:2009_023. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bernt Arne Odegaard)
If references are entirely missing, you can add them using this form.