A Risk‐Programming Analysis of Forward Contracting with Credit Constraints

1976 ◽  
Vol 58 (1) ◽  
pp. 62-70 ◽  
Author(s):  
Peter J. Barry ◽  
David R. Willmann
Keyword(s):  
Credit Constraints ◽  
Risk Programming ◽  
Programming Analysis ◽  
Forward Contracting

scholarly journals A Risk Programming Analysis of Cattle Procurement by Beef Packers

1978 ◽  
Vol 10 (2) ◽  
pp. 43-48
Author(s):  
Ronald Raikes ◽  
Gail M. Sieck ◽  
Katherine S. Miller
Keyword(s):  
Vertical Integration ◽  
Firm Behavior ◽  
Capital Requirements ◽  
Decision Models ◽  
Relative Importance ◽  
Market Exchange ◽  
Contractual Arrangements ◽  
Marketing Costs ◽  
Risk Programming ◽  
Programming Analysis

Producers and processors of many agricultural commodities can choose from among several coordination arrangements including spot-market exchange, contractual arrangements, and vertical integration. Firm decisions about coordination arrangements are important because they affect the success or even the survival of the firm and also cause broader impacts. The choice of marketing arrangements will influence a firm's profitability through prices received or paid, quality premiums or discounts, marketing costs incurred, exposure to production or price risk, and perhaps capital requirements. These firm decisions may have repercussions throughout the industry. For example, decisions by processing firms to shift from spot purchases to contract purchases may effectively foreclose the opportunity for producers to make spot sales. Decisions by processors to vertically integrate into production may force specialized producers out of business by limiting their marketing alternatives. Firm decision models focusing on choices among coordination arrangements should be helpful for prescribing and predicting firm behavior, predicting trends in relative importance of alternative arrangements, and evaluating policies (e.g., laws prohibiting processor ownership of production facilities) that are designed to influence these trends.

scholarly journals Risk programming analysis with imperfect information

2009 ◽  
Vol 190 (1) ◽  
pp. 311-323 ◽  
Author(s):  
Gudbrand Lien ◽  
J. Brian Hardaker ◽  
Marcel A. P. M. van Asseldonk ◽  
James W. Richardson
Keyword(s):  
Imperfect Information ◽  
Risk Programming ◽  
Programming Analysis

A Risk Programming Analysis of Crop Rotations including Double-Cropping

1993 ◽  
Vol 15 (3) ◽  
pp. 443
Author(s):  
Mario F. Crisostomo ◽  
Robert O. Burton ◽  
Allen M. Featherstone ◽  
Kenneth W. Kelley
Keyword(s):  
Crop Rotations ◽  
Double Cropping ◽  
Risk Programming ◽  
Programming Analysis

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

MAKSIMASI KEUNTUNGAN USAHA PUKAT CINCIN DI NEGERI LATUHALAT PADA MUSIM TIMUR

2018 ◽  
Vol 2 (1) ◽  
pp. 22-32
Author(s):  
Willem Talakua ◽  
Eygner Gerald Talakua
Keyword(s):  
Linear Programming ◽  
Production Factors ◽  
Maximum Profit ◽  
Analysis Methods ◽  
Profit Analysis ◽  
Business Profit ◽  
Programming Analysis

The purpose of this study is to study the maximization of business profits through the determination of the optimal use of production factors in the trawl ring business in Latuhalat. Observations and direct interviews based on questionnaires were carried out on 3 fishermen who owned trawl ring businesses in 3 hamlets in Latuhalat. Data were analyzed using business profit analysis methods and linear programming analysis. The results showed that: 1). The optimal use of production factors for trawling by the respondents in Latuhalat is 41 - 45 trips in June using 15.2 - 21.1 liters of gasoline, 280.9 - 304.4 liters of gasoline, 10.1 - 21 , 2 liters of oil, using labor as much as 15-17 people for 8 hours / day, and using transportation and FAD services as much as 351.3 - 360 HOK or 8 hours per day; and 2). The maximum profit that can be obtained from trawling rings by respondents in Latuhalat is Rp. 165,545,500 - up to Rp. 184,800,000, - in June. To achieve this maximum profit, respondents need to produce 25,270.3 kg of fish to 27,540.98 kg in June.

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