scholarly journals ANALYSIS OF SUPPLY RESPONSE AND PRICE RISK ON RICE PRODUCTION IN NIGERIA

2017 ◽  
Vol 16 (1) ◽  
pp. 17-24
Author(s):  
Opeyemi Eyitayo Ayinde ◽  
◽  
David Arnold Bessler ◽  
Femi Emmanuel Oni ◽  
Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1463
Author(s):  
Ghulam Mustafa ◽  
Azhar Abbas ◽  
Bader Alhafi Alotaibi ◽  
Fahd O. Aldosri

Increasing rice production has become one of the ultimate goals for South Asian countries. The yield and area under rice production are also facing threats due to the consequences of climate change such as erratic rainfall and seasonal variation. Thus, the main aim of this work was to find out the supply response of rice in Malaysia in relation to both price and non-price factors. To achieve this target, time series analysis was conducted on data from 1970 to 2014 using cointegration, unit root test, and the vector error correction model. The results showed that the planted area and rainfall have a significant effect on rice production; however, the magnitude of the impact of rainfall is less conspicuous for off-season (season 2) rice as compared to main-season rice (season 1). The speed of adjustment from short-run to long-run for season-1 rice production is almost two-and-a-half years (five production seasons), while for season-2 production, it is only about one-and-a-half year (three production seasons). Consequently, the study findings imply the supply of water to be enhanced through better water infrastructure for both seasons. Moreover, the area under season 2 is continuously declining to the point where the government has to make sure that farmers are able to cultivate the same area for rice production by providing uninterrupted supply of critical inputs, particularly water, seed and fertilizers.


1987 ◽  
Vol 19 (1) ◽  
pp. 111-118 ◽  
Author(s):  
James L. Seale ◽  
J. S. Shonkwiler

AbstractRisk has long been recognized as potentially important in determining agricultural supply. However, supply response models have either incorporated risk in an ad hoc manner or not at all. A rational expectations supply response model incorporating price risk is developed, an estimation procedure suggested, and an empirical example presented.


2020 ◽  
Vol 8 (4) ◽  
pp. 563
Author(s):  
Revani Intan Putri ◽  
Bustanul Arifin ◽  
Sudarma Widjaya

This research aims to know the farming income of organic rice; production risk and price risk faced by the organic rice farmers. This research was conducted in North Lampung Regency in March-April 2019. This sample of this research consists of 31 organic rice farmers which are taken by using census method. Thedata analysis method are farming income analysis and risk analysis which uses statistics method by counting variance, standard deviation, and coefficient of variation (CV). The results showed that the average of farming income that was achieved by organic rice farmers amounted to IDR 60,525,621.96. The production and price risk are classified into the low category because the value of CV of production risk is 0.13 and CV of price risk is 0.10.Key words: income, organic rice, risk.


Author(s):  
Robert G. Chambers ◽  
Margarita Genius ◽  
Vangelis Tzouvelekas

2012 ◽  
Vol 3 (6) ◽  
pp. 9-11
Author(s):  
N. Srihari Narayana ◽  
◽  
V. Sailaja V. Sailaja ◽  
P.V. Satyagopal P.V. Satyagopal ◽  
S.V. Prasad S.V. Prasad

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