Sources of productivity growth on Finnish dairy farms—application of an input distance function

2007 ◽  
Vol 4 (2) ◽  
pp. 65-76 ◽  
Author(s):  
Timo Sipiläinen
Keyword(s):  
Distance Function ◽  
Productivity Growth ◽  
Dairy Farms ◽  
Input Distance Function

Diversification economies in dairy farming – empirical evidence from Germany

2020 ◽  
Vol 47 (3) ◽  
pp. 1338-1365
Author(s):  
Stefan Wimmer ◽  
Johannes Sauer
Keyword(s):  
Empirical Evidence ◽  
Distance Function ◽  
Crop Production ◽  
Dairy Farms ◽  
Economic Benefits ◽  
Policy Implications ◽  
Farm Size ◽  
Estimation Technique ◽  
Data Set ◽  
Input Distance Function

Abstract This article explores how farm size is related to economic benefits from diversification. Using a data set pertaining to Bavarian dairy farms (2000–2014), we estimate an input distance function (IDF) to derive cost complementarities between distinct outputs. A Bayesian estimation technique is used to improve the theoretical consistency of the IDF. The results show that small dairy farms are more likely to benefit from diversification between milk and livestock production, while larger farms tend to benefit from diversification between milk and crop production. Both managerial and policy implications are discussed.

scholarly journals The Economics and Productivity of Organic versus Conventional U.S. Dairy Farms

2021 ◽  
pp. 1-19
Author(s):  
Richard F. Nehring ◽  
Jeffrey Gillespie ◽  
Catherine Greene ◽  
Jonathan Law
Keyword(s):  
United States ◽  
Returns To Scale ◽  
Dairy Farms ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Return On Assets ◽  
Input Distance Function ◽  
Technological Adoption ◽  
Stochastic Production ◽  
Certified Organic

Abstract United States certified organic and conventional dairy farms are compared on the basis of economic, financial, and technological measures using dairy data from the 2016 USDA Agricultural Resource Management Survey. A stochastic production frontier model using an input distance function framework is estimated for U.S. dairy farms to examine technical efficiency and returns to scale (RTS) of farms of both systems and by multiple size categories. Financial and economic measures such as net return on assets and input costs, as well as technological adoption measures are compared by system and size. For both systems, size is the major determinant of competitiveness based on selected measures of productivity and RTS.

scholarly journals Análisis de la calidad de la leche en un modelo microeconómico multi-output: El papel de la genética

2011 ◽  
Vol 5 (10) ◽  
pp. 3 ◽  
Author(s):  
Antonio Álvarez ◽  
Carlos Arias ◽  
David Roibás
Keyword(s):  
Panel Data ◽  
Milk Production ◽  
Distance Function ◽  
Dairy Farms ◽  
Milk Quality ◽  
Production Model ◽  
Genetic Traits

In this paper we analyze the influence of genetics on milk quality. For that purpose, we use a multi-output production model in which milk quality is included as an additional output in milk production. A distance function is used to estimate empirically the contribution of genetics to milk quality. For that purpose, we use a panel data of 96 dairy farms in Asturias. This dataset contains indexes measuring the genetic traits of the herd.

scholarly journals Total Factor Energy Productivity and Efficiency Changes of the Gher (Prawn-Carp-Rice) Farming System in Bangladesh: A Stochastic Input Distance Function Approach

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3482 ◽  
Author(s):  
Sanzidur Rahman ◽  
Basanta Barmon
Keyword(s):  
Energy Efficiency ◽  
Technical Progress ◽  
Distance Function ◽  
Farming System ◽  
Energy Performance ◽  
Function Approach ◽  
Rice Farming ◽  
Energy Productivity ◽  
Input Distance Function ◽  
Stochastic Input

This paper measures energy performance, Total Factor Energy Productivity (TFEP), technical change (TC) and energy efficiency change (EEC) of the gher (prawn-carp-rice) farming system using a unique panel data of 90 farmers covering a 14 year period (2002–2015) from southwest Bangladesh by employing a stochastic input distance function approach. Results reveal that all inputs contribute significantly to energy productivity of the gher farming system with male labor energy input being the major contributor followed by energy from machineries, seeds and chemicals. Energy performance of the High Yielding Variety (HYV) rice enterprise is highly efficient whereas the prawn enterprise is highly energy inefficient. Furthermore, energy performance of the HYV rice enterprise improved significantly over time. Significant competition exists between HYV rice and prawn enterprises as well as prawn and carp enterprises. Experience and education significantly improve energy efficiency whereas gher area and household size significantly reduces it. TFEP grew at the rate of 2.56% per annum (p.a.) solely powered by technical progress at the rate of 2.57% p.a. Gher system can be sustained in the long-run driven by technical progress and improvements in energy productivity of the HYV rice enterprise. Policy implications include investments in R&D and education targeted at the gher farmers.

Comparing French and US hospital technologies: a directional input distance function approach

2004 ◽  
Vol 36 (10) ◽  
pp. 1065-1081 ◽  
Author(s):  
Benoît Dervaux * ◽  
Gary D. Ferrier ◽  
Hervé Leleu ◽  
Vivian Valdmanis
Keyword(s):  
Distance Function ◽  
Function Approach ◽  
Input Distance Function
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