scholarly journals FOOD GRAIN MARKETING IN OSUN STATE, NIGERIA: A STUDY OF LONG-RUN PRICE INTEGRATION

2012 ◽  
Vol 6 (1) ◽  
pp. 1-9 ◽  
Author(s):  
O.K Akintunde ◽  
T.B. Akinremi ◽  
L.O.E. Nwauwa
Keyword(s):  
Long Run ◽  
Grain Marketing ◽  
Food Grain

scholarly journals Climate change adaptation and economic profitability: crop land shifting to mango orchard in Rajshahi region

2015 ◽  
Vol 18 (1-2) ◽  
pp. 8-17
Author(s):  
FIMGW Sarker ◽  
JC Biswas ◽  
M Maniruzzaman
Keyword(s):  
Crop Production ◽  
Yield Loss ◽  
Vegetable Production ◽  
Internal Rate Of Return ◽  
Crop Land ◽  
Long Run ◽  
Present Worth ◽  
Cultivation Process ◽  
Food Grain ◽  
Favourable Environment

Barind ecosystem (Rajshahi Region) is unfavourable for field crop production but suitable for production of fruits like mango, litchi and jujube etc. Thus, an investigation was made to find out the causes, challenges and opportunity of crop land shift to mango orchard in Barind areas. A total of 85 mango growing farmers were randomly selected for interviewing. The dominant mango orchard based patterns are: i) Wheat-Fallow-T. Aman (30%); and ii) Mustard-Fallow-T. Amam (29%). About 75% farmers are transforming crop land into mango orchard because of water scarcity, high profitability, easy cultivation process, land suitability and favourable environment for mango cultivation. Mango farmers obtained on average 231 kg/ha yield in 1st quarter (year 1-3) and then production increased sharply and reached 2,190 kg/ha in 5th quarter (year 13-15). The highest gross return of mango was found in the 5th quarter. The estimated net present worth (NPW) of the project was Tk 99,588 per hectare, which indicates that mango cultivation was profitable in Rajshahi area. The internal rate of return (IRR) was 28%, which is higher than the opportunity cost of capital. However, increasing life span of mango orchard increases yield loss of both rice and non-rice crops. In 11-year-old mango orchard, intercrop yield reduced drastically (65%). More than 83% farmers obtained increased income and about 67% achieved better livelihoods due to mango cultivation. However, there is a possibility to decrease food grain, pulses, oil seed and vegetable production in the long run. Therefore, planned mango cultivation is needed along with ensured credit facilities through both institutional and non-institutional sources for mango cultivation, preservation and marketing.Bangladesh Rice j. 2014, 18(1&2): 8-17

scholarly journals Energy Use in U.S. Agriculture: Early Adjustment to the 1973-74 Price Shock

1987 ◽  
Vol 19 (2) ◽  
pp. 33-42 ◽  
Author(s):  
John M. Gowdy ◽  
Jack L. Miller ◽  
Hamid Kherbachi
Keyword(s):  
Energy Use ◽  
Energy Intensity ◽  
Primary Energy ◽  
Agricultural Products ◽  
Energy Prices ◽  
Agricultural Chemicals ◽  
Long Run ◽  
Food Grain ◽  
Almost All ◽  
Electricity Intensity

AbstractUsing input-output tables for 1972 and 1977 we examine direct and indirect energy use in the production of fourteen U.S. agricultural products. We find that between 1972 and 1977 energy use increased in absolute terms but decreased in terms of Btus required per dollar of output.Although this trend is encouraging in terms of the long-run ability of U.S. agriculture to adjust to higher energy prices, the following caveats should be mentioned; (1) a large part of the decrease in primary energy intensity is attributable to one sector, meat animals, (2) there was a substantial increase in electricity intensity in almost all sectors, and (3) there was an increase in the use of energy embodied in fertilizers and agricultural chemicals in the very important food grain and feed sectors.

scholarly journals The Interaction Between Area and Production of Food Grain Crops in India : An Empirical Evidence from ADRL Bounds Test Cointegration

2021 ◽  
Author(s):  
RAJARATHINAM A ◽  
Subha S S
Keyword(s):  
Ordinary Least Squares ◽  
Least Square ◽  
Model Parameters ◽  
Cumulative Sum ◽  
Ordinary Least Square ◽  
Grain Crops ◽  
Long Run ◽  
Bounds Test ◽  
Food Grain ◽  
Recursive Residuals

Abstract This paper demonstrates a significant long-run relationship between area and productions of Food grain crops grown in India during the period 1950-2018. Stability of the estimated model parameters are studied . To assess the consistency of the model parameters the cumulative sum of recursive residuals test and the cumulative sum of recursive residuals squares tests are used.Additionally, cointegration equations such as the Fully Modified Ordinary Least Square Dynamic Ordinary Least Squares, and Canonical Cointegration Regression are applied to check the long-run elasticities in the concerned relationship.

Food Grain Marketing in Burkina Faso

2018 ◽  
pp. 67-86
Author(s):  
Clemens Lutz ◽  
Boubié Bassolet
Keyword(s):  
Burkina Faso ◽  
Grain Marketing ◽  
Food Grain

Food grain marketing in Northern Nigeria: Spatial and temporal performance

1978 ◽  
Vol 14 (2) ◽  
pp. 182-192 ◽  
Author(s):  
H. M. Hays ◽  
J. H. McCoy
Keyword(s):  
Northern Nigeria ◽  
Grain Marketing ◽  
Food Grain

Dynamics of Food Inflation: Assessing the Role of Intermediaries

2018 ◽  
Vol 19 (5) ◽  
pp. 1363-1378
Author(s):  
Sugandha Huria ◽  
Kanika Pathania
Keyword(s):  
Food Prices ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Food Grains ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Retail Prices ◽  
Food Grain

The recent upsurge in the food prices experienced by the Indian economy since the latter half of 2000s has made it imperative for the policymakers to identify the crucial factors, which affect food prices within the economy. Against this backdrop, the present article determines the various key factors impacting the prices of food grains, specifically elucidating the role of intermediaries in this regard. By applying the autoregressive distributed lag (ARDL) approach to cointegration and quantifying the role of intermediaries by computing the price wedge between wholesale and retail prices of food grains, the study establishes the existence of both short-run and long-run relationships between price wedge and food grain inflation.

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