A Markov Chain Analysis of Structural Changes in the Texas High Plains Cotton Ginning Industry

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.

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Structural Changes in Basmati Rice Exports from India: A Markov Chain Analysis

Economic Affairs ◽

10.46852/0424-2513.2.2021.8 ◽

2021 ◽

Vol 66 (2) ◽

Author(s):

Shailza S

Keyword(s):

Markov Chain ◽

United Arab Emirates ◽

Structural Changes ◽

The United States ◽

Basmati Rice ◽

Steady Increase ◽

Annual Growth Rate ◽

Markov Chain Analysis ◽

Chain Analysis ◽

Wide Range

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.

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Structural Changes of Farm Size and Labor’s Occupation in Bangladesh- A Markov Chain Analysis

Open Agriculture ◽

10.1515/opag-2018-0064 ◽

2018 ◽

Vol 3 (1) ◽

pp. 609-617

Author(s):

Shakila Salam ◽

Siegfried Bauer

Keyword(s):

Markov Chain ◽

Structural Changes ◽

Agricultural Sector ◽

Transition Probabilities ◽

Farm Size ◽

Chain Analysis ◽

The Future ◽

Part Time ◽

Large Farms ◽

Over Time

Abstract Over the last few decades, Bangladesh has experienced significant structural changes within the agricultural sector. This research estimates the current and forecasts the future changes of farm size and labor occupational mobility over time and across the region. A panel dataset, which is used in this study, was collected in the three different years (1988, 2000 and 2008) from 62 villages across 57 districts. Stationary Markov chain approach was used in this analysis to estimate structural change. The results of this study imply that the agricultural sector is dominated by small farms in past, present and also in the future. The forecasting predicts that the numbers of marginal, medium and large farms are going to decrease in future. Moreover, it indicates that the average farm size of small landholders will slightly increase as the numbers of marginal and large landowners reduces. The analyses of the transition probabilities of labor occupational change show that rural households are gradually shifting to non-farm activities and mostly part-time farming from other income generating activities over time. In general, the forecast also suggests narrowing of agricultural activities and expansion of part-time farming and non-farm activities in future.

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

Journal of Economics Management and Trade ◽

10.9734/jemt/2020/v26i630260 ◽

2020 ◽

pp. 1-12

Author(s):

K. P. Sonavale ◽

M. M. Kadam ◽

M. R. Shaikh ◽

V. G. Pokharkar

Keyword(s):

Saudi Arabia ◽

Markov Chain ◽

Egg Production ◽

Structural Changes ◽

Linear Regression Analysis ◽

Outcome Variable ◽

Meat Production ◽

Markov Chain Analysis ◽

Chain Analysis ◽

Livestock Products

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.

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Estimating tree-quality potential in a managed white oak stand by Markov Chain analysis

Canadian Journal of Forest Research ◽

10.1139/x87-002 ◽

1987 ◽

Vol 17 (1) ◽

pp. 9-16 ◽

Cited By ~ 2

Author(s):

Robert L. Brisbin ◽

Martin E. Dale

Keyword(s):

Markov Chain ◽

Transition Probabilities ◽

Volume Growth ◽

Basal Area ◽

Growth Potential ◽

Markov Chain Analysis ◽

White Oak ◽

Chain Analysis ◽

Related Defect ◽

Tree Quality

In many central hardwood stands, forest managers should be concerned about maintaining or improving the potential quality of future crop trees as well as increasing growth. Thinning practices have been shown to increase diameter and volume growth but there have been few studies on the effects of thinning on product potential. The effect of thinning to various basal area levels on the limb-related defect development of 80-year-old white oak (Quercusalba L.) is analyzed by Markov Chain analysis. The transition probabilities from the Markov Chain analysis were used to predict the expected number of limb-related defects by 5-year intervals for 40 years after treatment. At this age, the average tree in the untreated plots and the standard thinning had a probability of 0.81 of attaining grade 1. The average tree in the heavy and severe thinning had only a probability of about 0.25 of attaining grade 1. Generally, severe thinnings may result in a decrease of tree quality, particularly in white oak. Managers must balance this with increased growth potential and the inherent quality potential of the stand before making decisions.

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On-Bark Behavior of Dendroctonus frontalis: A Markov Chain Analysis

Journal of Insect Behavior ◽

10.1023/b:joir.0000031531.07035.10 ◽

2004 ◽

Vol 17 (3) ◽

pp. 281-301 ◽

Cited By ~ 3

Author(s):

J. Bishir ◽

J. H. Roberds ◽

B. L. Strom

Keyword(s):

Markov Chain ◽

Dendroctonus Frontalis ◽

Markov Chain Analysis ◽

Chain Analysis

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Assessing Changes in Soil Erosion Rates: A Markov Chain Analysis

Journal of Agricultural and Applied Economics ◽

10.1017/s1074070800008877 ◽

1999 ◽

Vol 31 (3) ◽

pp. 611-622 ◽

Cited By ~ 3

Author(s):

Rhonda Skaggs ◽

Soumen Ghosh

Keyword(s):

Markov Chain ◽

Soil Erosion ◽

Great Plains ◽

Markov Chain Analysis ◽

Conservation Policies ◽

Erosion Rates ◽

National Resources Inventory ◽

Long Run ◽

Chain Analysis ◽

Soil Erosion Rates

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.

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