Assessing the impacts of stochastic trend in crop acreage supply response model

2008 ◽  
Vol 40 (3) ◽  
pp. 295-302
Author(s):  
Murali Adhikari ◽  
Krishna P. Paudel ◽  
Jack Houston ◽  
James Bukenya
Keyword(s):  
Response Model ◽  
Crop Acreage ◽  
Stochastic Trend ◽  
Supply Response

scholarly journals Rationality, Price Risk, and Response

1987 ◽  
Vol 19 (1) ◽  
pp. 111-118 ◽  
Author(s):  
James L. Seale ◽  
J. S. Shonkwiler
Keyword(s):  
Rational Expectations ◽  
Ad Hoc ◽  
Estimation Procedure ◽  
Price Risk ◽  
Response Model ◽  
Response Models ◽  
Supply Response ◽  
Agricultural Supply

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.

scholarly journals Supply response of maize in Dindigul District of Tamil Nadu

2019 ◽  
Author(s):  
P. Sumathi ◽  
B. Parthipan ◽  
J.S. Amarnath ◽  
B. Sivasankari
Keyword(s):  
Tamil Nadu ◽  
Maize Yield ◽  
Yield Response ◽  
Response Model ◽  
Maize Production ◽  
Partial Adjustment ◽  
Supply Response ◽  
Adjustment Model ◽  
Partial Adjustment Model ◽  
Production Response

This study analyzed the supply response of maize in Dindigul District of Tamil Nadu. The data regarding price and non-price factors (area, yield, rainfall) were collected from the season and crop report of Tamil Nadu for the period of about 21 years (1991-2011). Nerlovian Partial Adjustment Model was used to analyze the supply response. In the acreage response model, lag maize area and lag maize price were found to be positively 1 per cent and 5 per cent significant with the current maize acreage respectively. If lag maize area and lag maize price is increased by one per cent, it will lead to an increase of about 0.59 per cent and 0.96 per cent of current maize acreage respectively. In the yield response model, lag maize yield and lag maize price were found to be significant with the current maize yield. In the production response model, lag own price was found to be significant with the current maize production.

scholarly journals A General, Dynamic, Supply-Response Model

1984 ◽  
Vol 13 (2) ◽  
pp. 142-154 ◽  
Author(s):  
Robert G. Chambers ◽  
Ramon E. Lopez
Keyword(s):  
Infinite Horizon ◽  
Resource Economics ◽  
Agricultural Economics ◽  
Response Model ◽  
Interested Reader ◽  
Response Models ◽  
Supply Response ◽  
Special Cases ◽  
Horizon Problems ◽  
General Dynamic

This paper is divided into two parts which are somewhat independent. The first part of this paper discusses certain properties of a general autonomous control model that appears promising for the analysis of general dynamic supply response models in agricultural economics, resource economics, and related fields. The second part of the paper, which can be read somewhat independently of the first, emphasizes the potential empirical applications of special cases of the general model discussed in the first part. In what follows, we always deal with continuous time and infinite horizon models because of their analytical tractability. Extension and modification of our results for discrete-time, finite-horizon problems should be fairly obvious and are left to the interested reader.

Dairy supply response under stochastic trend and seasonality

2007 ◽  
Vol 14 (12) ◽  
pp. 887-891 ◽  
Author(s):  
Murali Adhikari ◽  
Krishna Paudel ◽  
Jack Houstan ◽  
James Bukenya
Keyword(s):  
Stochastic Trend ◽  
Supply Response

scholarly journals DYNAMIC SUPPLY RESPONSE : IMPLICATIONS FOR INDONESIA SOYBEAN CROP

2020 ◽  
Vol 1 (4) ◽  
pp. 568-580
Author(s):  
Edison Edison ◽  
Dharia Renate ◽  
Denny Denmar
Keyword(s):  
Quantitative Result ◽  
Economic Situation ◽  
Response Model ◽  
Supply Response ◽  
Soybean Crop ◽  
Expected Time ◽  
Economic Decisions ◽  
Model Response ◽  
Alternative Specification ◽  
Gross Margins

The purpose of the study is to explore the supply response model of the soybean crop in terms of alternative specifications also implications economics. To apply model, considerations through the availability of production lags concept also the existence of expected price and gross revenue because of producer’s response explanatory preference on movement economic situation. The results showed that the existing lags were due mostly to the problems also quick adjustment expenditure rather than correcting expected time. The quantitative result was the same as gross margins and prices alternative specification as the availability of economic decisions. Meanwhile, elasticities price found through the model response specification tended around a fourth of the model applying price specification. The model response specification produced more explanation in terms of production also elasticity of input expenditure.

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