International Journal of Management and Applied Science (IJMAS)
.
Follow Us On :
current issues
Volume-10,Issue-1  ( Jan, 2024 )
Past issues
  1. Volume-10,Issue-1  ( Jan, 2024 )
  2. Volume-9,Issue-12  ( Dec, 2023 )
  3. Volume-9,Issue-11  ( Nov, 2023 )
  4. Volume-9,Issue-10  ( Oct, 2023 )
  5. Volume-9,Issue-9  ( Sep, 2023 )
  6. Volume-9,Issue-8  ( Aug, 2023 )
  7. Volume-9,Issue-7  ( Jul, 2023 )
  8. Volume-9,Issue-6  ( Jun, 2023 )
  9. Volume-9,Issue-5  ( May, 2023 )
  10. Volume-9,Issue-4  ( Apr, 2023 )

Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 119
Paper Published : 5065
No. of Authors : 10504
  Journal Paper


Paper Title :
Dynamics of Price Stabilization: Continuous- Versus Discrete-Time Cobweb Models With Buffer Stock

Author :Anokye, Martin, Oduro, T. Francis

Article Citation :Anokye ,Martin ,Oduro ,T. Francis , (2017 ) " Dynamics of Price Stabilization: Continuous- Versus Discrete-Time Cobweb Models With Buffer Stock " , International Journal of Management and Applied Science (IJMAS) , pp. 44-51, Volume-3,Issue-10

Abstract : This paper compared the dynamics of continuous-time nonlinear delay differential cobweb model with buffer stock to discrete-time nonlinear cobweb model with buffer stock, through simulation of real economic data of maize price demand and production in the Ashanti Region of Ghana. The nonlinear delay differential equation model, before the application of buffer stock scheme had price oscillated between two price points and could not converge, which affirms the condition of nonlinear model under naïve price expectation. It is established in the study that delay parameter is price stability dependent and also associated with price fluctuations. The nonlinear delay differential buffer stock model achieved price stability without varying the parameters values of supply function as opposed to discrete-time cobweb models.It was noted that, the more buffer stock delay and supply delay are well adjusted in connection with the price scheme run by buffer stock operators, the more stable the price becomes and the impact of buffer stock felt in the system. The results of the analysis provided an average stable price of maize as GH¢ 30.49 compared to the actual average price of GH¢30.27, which in turn determined the average stock during harvesting season. Nonlinear discrete-time cobweb model on the other hand, could not meet the naïve price expectation condition until parameter values were reviewed. This made the predicted values of average price and stock unrealistic. It was found that, discrete-time buffer stock model performed well under linear models than in the nonlinear models, which is a limiting case of the delay buffer stock model used in this study. It is therefore, presumed from the study that researchers would rather use continuous-time nonlinear delay models as they reflect realities prevailing in most market economic problems. Keywords- buffer stock, price stabilization, delay-differential equation, cobweb models

Type : Research paper

Published : Volume-3,Issue-10


DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-9757   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 42
| Published on 2018-01-03
   
   
IRAJ Other Journals
IJMAS updates
IJMAS -THANK YOU ALL FOR CONTRIBUTING YOUR PAPER TO IJMAS MAY ISSUE. ALL AUTHORS ARE REQUESTED TO GET THEIR HARD COPY NOW.
The Conference World
Facebook

JOURNAL SUPPORTED BY