scholarly journals Markov Chain Analysis- A Discrete Assessment on Livestock Sector Trade in India and Allied Countries

Author(s):  
K. P. Sonavale ◽  
M. M. Kadam ◽  
M. R. Shaikh ◽  
V. G. Pokharkar

Objective/Methods: The research was to analyze the export and import of livestock products (India) to Oman, Afghanistan, Liberia, Maldives, Algeria, Bangladesh, Kuwait, Vietnam, Philippines, Jordon and Saudi Arabia and U.A.E countries through Markov-chain analysis, and to identify the important factors responsible for livestock production. The Markov chain Analysis was employed to analyse the dynamic nature of trade pattern specially the structural changes in any system whose progress through time can be measured in the term of single outcome variable. To accomplish the objective under study the period taken for all livestock products export was 2006-2007 to 2017-2018. Findings/Applications: The study on import and export of agricultural commodities revealed a significant benchmark based on Markov chain analysis. The Markov Chain analysis revealed that, India has an edge to export milk products to Algeria, Bangladesh and U.A.E, as indicated by the highest retention probability. In case of egg, export to Oman, Afghanistan, Liberia, Maldives indicated by the highest retention capacity. In case of buffalo meat, export to Vietnam, Philippines, Jordon and Saudi Arabia as indicated by the highest retention probability. In case of sheep meat, export to Saudi Arabia, Oman and Kuwait had the highest retention probability. The multiple linear regression analysis indicated that the factors for milk production (number of buffaloes, Area under permanent Pasture and Grazing land and institutional credit), for meat production (number of animals slaughtered, population of poultry, buffalo, sheep and goat, number of veterinary institutes) and for egg production (Number of layers and number of veterinary institutes) were highly significant to increase the livestock product production.

1985 ◽  
Vol 17 (2) ◽  
pp. 11-20 ◽  
Author(s):  
Don E. Ethridge ◽  
Sujit K. Roy ◽  
David W. Myers

AbstractMarkov chain analysis of changes in the number and size of cotton gin firms in West Texas was conducted assuming stationary and non-stationary transition probabilities. Projections of industry structure were made to 1999 with stationary probability assumptions and six sets of assumed conditions for labor and energy costs and technological change in the non-stationary transition model. Results indicate a continued decline in number of firms, but labor, energy, and technology conditions alter the configuration of the structural changes.


2021 ◽  
Vol 66 (2) ◽  
Author(s):  
Shailza S

Basmati rice is considered a “strategic“ agricultural export commodity from India and has consequently remained subject to a wide range of government interventions. Basmati rice is exported from India to many countries, especially to the Gulf and European countries. A steady increase in Bbasmati rice production, availability of buffer stocks, and growing demand for basmati rice in the international market made India a vital rice exporting country of the world. The present study explored the structural changes in basmati rice exports from India from 1991 to 2020. The stability in the importing partners of basmati rice from India was analyzed using first-order Markov chain analysis. The compound annual growth rate for the export quantity of basmati rice varied from 5.74 to 12.65 percent per annum. In contrast, the export value of basmati rice ranged between 4.40 to 21.06 percent per annum during the three selected decades. Further, the basmati rice export value showed higher instability than export quantity. Saudi Arabia, Iran, and the United Arab Emirates served to be the stable importers. In contrast, the United States and the United Kingdom served as the most unstable markets for Indian basmati rice according to the transitional probability matrix. Therefore, to reduce variability in exports of basmati rice, India should maintain long-term stable trading partners further to increase the export earnings.


1999 ◽  
Vol 31 (3) ◽  
pp. 611-622 ◽  
Author(s):  
Rhonda Skaggs ◽  
Soumen Ghosh

AbstractMarkov chain analysis (one-step and long-run) is applied to the National Resources Inventory (NRI) database to evaluate changes in wind-based soil erosion rates over time. The research compares changes in soil erosion rates between NRI sample sites with and without applied conservation practices for a random sample of Great Plains counties. No significant differences between sites are found for half of the counties evaluated. The effectiveness and efficiency of conservation policies are thus questioned in light of these research results.


2017 ◽  
Vol 22 (4) ◽  
pp. 443-448 ◽  
Author(s):  
Yifei Du ◽  
Kenji Aoki ◽  
Makoto Sakamoto ◽  
Hiroshi Furutani ◽  
Kunihito Yamamori

2012 ◽  
Vol 31 (4) ◽  
pp. S95
Author(s):  
G. Snow ◽  
J. Stehlik ◽  
E.H. Hammond ◽  
K. Brunisholz ◽  
E. Gilbert ◽  
...  

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