Estimation of Farm Supply Response and Acreage Allocation PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Estimation of Farm Supply Response and Acreage Allocation PDF full book. Access full book title Estimation of Farm Supply Response and Acreage Allocation by N. S. S. Narayana. Download full books in PDF and EPUB format.
Author: N. S. S. Narayana
Publisher:
ISBN:
Category : Agricultural estimating and reporting
Languages : en
Pages : 56
Get Book Here
Book Description
Author: N. S. S. Narayana
Publisher:
ISBN:
Category : Agricultural estimating and reporting
Languages : en
Pages : 56
Get Book Here
Book Description
Author: Marc Nerlove
Publisher: Baltimore, Md. : Johns Hopkins Press
ISBN:
Category : Agricultural prices
Languages : en
Pages : 286
Get Book Here
Book Description
Author: Erik Eliasson
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 230
Get Book Here
Book Description
Author: Reji D. Nair
Publisher: Concept Publishing Company
ISBN: 9788180697104
Category : Agricultural productivity
Languages : en
Pages : 204
Get Book Here
Book Description
Author: Mekbib Haile
Publisher:
ISBN:
Category :
Languages : en
Pages : 37
Get Book Here
Book Description
Understanding how producers make decisions to allot acreage among crops and how decisions about land use are affected by changes in prices and their volatility is fundamental for predicting the supply of staple crops and, hence, assessing the global food supply situation. The innovations of the present paper are estimates of monthly (i.e. seasonal) versus annual global acreage response models for four staple crops: wheat, soybeans, corn and rice. We focus on the impact of (expected) crop prices, oil and fertilizer prices and market risks as main determinants for farmers' decisions on how to allocate their land. Primary emphasis is given to the magnitude and speed of the allocation process. Estimation of intra-annual acreage elasticity is crucial for expected supply and for input demand, especially in the light of the recent short-term volatility in food prices. Such aggregate estimates are also valuable to verify whether involved country-specific estimations add up to patterns that are apparent in the aggregate international data. The econometric results indicate that global crop acreage responds to crop prices and price risks, input costs as well as a time trend. Depending on respective crop, short-run elasticities are about 0.05 to 0.25; price volatility tends to reduce acreage response of some crops; comparison of the annual and the monthly acreage response elasticities suggests that acreage adjusts seasonally around the globe to new information and expectations. Given the seasonality of agriculture, time is of the essence for acreage response: The analysis indicates that acreage allocation is more sensitive to prices in northern hemisphere spring than in winter and the response varies across months.
Author: David R. Lee
Publisher:
ISBN:
Category : Acreage allotments
Languages : en
Pages : 682
Get Book Here
Book Description
Author: Mythili Gurumurthy
Publisher: LAP Lambert Academic Publishing
ISBN: 9783843389952
Category :
Languages : en
Pages : 64
Get Book Here
Book Description
This book gives an account of supply response for major crops during pre and post reform periods using Nerlovian adjustment cum adaptive expectation model. Estimation is based on dynamic panel data approach using pooled cross section - time series data across states for India for the period 1980-81 to 2004-2005. The significant feature of the specification used in the study is both main and substitutable crops are jointly estimated by a single set of equations and by introducing varying slope coefficients to capture different responses. The analysis is a useful additional contribution to the existing empirical literature in supply response.
Author: William Bruce Traill
Publisher:
ISBN:
Category : Agricultural prices
Languages : en
Pages : 398
Get Book Here
Book Description
Author: Nathan P. Hendricks
Publisher:
ISBN: 9781267028655
Category :
Languages : en
Pages :
Get Book Here
Book Description
Estimates of crop supply response to price have a long history in agricultural economics. The primary contribution of this dissertation is to estimate the short-run (1-year) and long-run (5- to 10-year) acreage response to price for corn and soybeans. I characterize the dynamics of aggregate supply response by aggregating a field-level conceptual model of crop decisions with rotation incentives across heterogeneous fields. The model indicates that the long-run response is likely to be smaller than the short-run response. The econometric model exploits crop data, in the form of pixels, derived from satellite imagery for Illinois (1999-2010) and Iowa and Indiana (2000-2010). To approximate fields as the unit of analysis, I use Common Land Unit boundaries from the Farm Service Agency. Expected per bushel crop revenues are the sum of a futures price, an expected loan deficiency payment, and an expected basis obtained from 93 market locations. Soil and precipitation data are spatially merged to the crop data. The field-level dataset contains approximately 1 million observations per year. I argue that previous estimates of aggregate acreage response to price have been biased due to the use of aggregate data and pooled estimators (i.e., estimating a heterogeneous coefficient with a single parameter). The bias from aggregation occurs because aggregating a dynamic model results in a different dynamic structure at the aggregate level, thus the model is misspecified with a single lagged dependent variable. The pooling bias occurs because the coefficient on the lagged dependent variable captures the variation in the price response. When the price of corn increases, fields that have a larger price response are more likely to plant corn in the current year, but they are also more likely to have planted corn the previous year since prices are positively autocorrelated. I avoid these sources of bias by using disaggregate crop data and estimating coefficients that differ by soil regimes. Using the field-level data, I estimate the own-price acreage elasticity for corn as 0.52 in the short run and 0.34 in the long run. I estimate the own-price acreage elasticity for soybeans as 0.31 in the short run and 0.23 in the long run. In contrast, estimates with county-level data for the same region and time period indicate that the long-run elasticities are larger than the short-run elasticities.
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 624
Get Book Here
Book Description
