Analysing farming systems with Data Envelopment Analysis: citrus farming in Spain

2004 ◽  
Vol 82 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Ernest Reig-Martı́nez ◽  
Andrés J Picazo-Tadeo
Keyword(s):  
Data Envelopment Analysis ◽  
Farming Systems ◽  
Data Envelopment ◽  
Citrus Farming

scholarly journals Energy Efficiency Outlook of New Zealand Dairy Farming Systems: An Application of Data Envelopment Analysis (DEA) Approach

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 251 ◽  
Author(s):  
Hafiz Muhammad Abrar Ilyas ◽  
Majeed Safa ◽  
Alison Bailey ◽  
Sara Rauf ◽  
Azeem Khan
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
New Zealand ◽  
Data Envelopment Analysis ◽  
Energy Saving ◽  
Farming Systems ◽  
Dairy Farms ◽  
Data Envelopment ◽  
Energy Saving Potential ◽  
Dairy Systems

This study evaluates energy efficiency of pastoral (PDFs) and barn (BDFs) dairy farming systems in New Zealand through application of data envelopment analysis (DEA) approach. Two models constant return to scale (CCR) and variable return to scale (BCC) of DEA were employed for determining the technical (TE), pure technical (PTE) and scale (SE) efficiencies of New Zealand pastoral and barn dairy systems. Further, benchmarking was also performed to separate efficient and inefficient dairy farms and energy saving potential was identified for both dairy systems based upon their optimal energy consumption. For this study, the energy inputs data were taken from 50 dairy farms (including PDFs and BDFs) across Canterbury, New Zealand. The results indicated that the average technical, pure technical and scale efficiencies of pastoral (PDFs) dairy systems were 0.84, 0.90, 0.93 and for barn (BDFs) systems were 0.78, 0.84, 0.92, respectively, showing that energy efficiency is slightly better in PDFs system than the BDFs. From the total number of dairy farms 40% and 48% were efficient based on the constant return to scale and variable return to scale models, respectively. Further, the energy saving potential for PDFs and BDFs dairy systems through optimal energy consumption were identified as 23% and 35%, respectively. Thus, energy auditing, use of renewable energy and precision agricultural technology were recommended for energy efficiency improvement in both dairy systems.

scholarly journals Assessing between and within Product Group Variance of Environmental Efficiency of Swiss Agriculture Using Life Cycle Assessment and Data Envelopment Analysis

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1862
Author(s):  
Dario Pedolin ◽  
Johan Six ◽  
Thomas Nemecek
Keyword(s):  
Life Cycle Assessment ◽  
Data Envelopment Analysis ◽  
Environmental Impacts ◽  
Food Production ◽  
Production Systems ◽  
Farming Systems ◽  
Environmental Efficiency ◽  
Agricultural Products ◽  
Data Envelopment ◽  
Product Group

Food production systems can contribute to the degradation of the environment; thereby endangering the very resource, they depend on. However, while overall large, the environmental impacts of individual agricultural products are disparate. Therefore, in order to gain a better understanding of the impact different food production systems have on the environment, we should start at the produce level. In this study, we combine life cycle assessment (LCA) methodology and data envelopment analysis to calculate environmental efficiency scores (i.e., agricultural output divided by environmental impacts) for eight product groups (Milk, Cattle, Pig fattening, Cereals, Beets, Potatoes, Vegetables, Fruits) in Switzerland. First, LCA is used to calculate “cradle to farm-gate” environmental impacts. These impacts are then used as inputs in a data envelopment analysis, with the amount of produced agricultural products as outputs. The resulting environmental efficiency scores reflect the relative efficiency (i.e., related to the best-observed performance) of the observed product groups. We find large differences in environmental impacts and environmental efficiency score distribution between the product groups. While we find some variability of environmental efficiency between farming systems (Organic and Proof of Ecological Performance) within a product group (difference in coefficient of variation between farming systems: Fruits = 48%, Vegetables = 13%, Cereals, Potatoes = 8%), we did not find any significant differences in environmental efficiency between organic and integrated farming systems for any of the considered product groups. Furthermore, we did not find a negative effect of multifunctionality of Swiss farms (i.e., multiple simultaneously produced product groups), but found a small positive effect for Milk in the presence of other product groups. However, the high within product group variance of environmental efficiency suggests the potential for improvements (notably >40% for Fruits and >30% for Cattle and Potatoes).

scholarly journals Improving efficiency assessments using additive data envelopment analysis models: an application to contrasting dairy farming systems

2015 ◽  
Vol 24 (3) ◽  
pp. 235-248 ◽  
Author(s):  
Andreas Diomedes Soteriades ◽  
Philippe Faverdin ◽  
Margaret March ◽  
Alistair William Stott
Keyword(s):  
Data Envelopment Analysis ◽  
Feeding Strategy ◽  
Additive Model ◽  
Dairy Farm ◽  
Farming Systems ◽  
Environmental Efficiency ◽  
Feeding Strategies ◽  
Data Envelopment ◽  
Detailed Data ◽  
Dea Models

Applying holistic indicators to assess dairy farm efficiency is essential for sustainable milk production. Data Envelopment Analysis (DEA) has been instrumental for the calculation of such indicators. However, ‘additive’ DEA models have been rarely used in dairy research. This study presented an additive model known as slacks-based measure (SBM) of efficiency and its advantages over DEA models used in most past dairy studies. First, SBM incorporates undesirable outputs as actual outputs of the production process. Second, it identifies the main production factors causing inefficiency. Third, these factors can be ‘priced’ to estimate the cost of inefficiency. The value of SBM for efficiency analyses was demonstrated with a comparison of four contrasting dairy management systems in terms of technical and environmental efficiency. These systems were part of a multiple-year breeding and feeding systems experiment (two genetic lines: select vs. control; and two feeding strategies: high forage vs. low forage, where the latter involved a higher proportion of concentrated feeds) where detailed data were collected to strict protocols. The select genetic herd was more technically and environmentally efficient than the control herd, regardless of feeding strategy. However, the efficiency performance of the select herd was more volatile from year to year than that of the control herd. Overall, technical and environmental efficiency were strongly and positively correlated, suggesting that when technically efficient, the four systems were also efficient in terms of undesirable output reduction. Detailed data such as those used in this study are increasingly becoming available for commercial herds through precision farming. Therefore, the methods presented in this study are growing in importance.

Determining rates of change in data envelopment analysis

1997 ◽  
Vol 48 (6) ◽  
pp. 591-593
Author(s):  
Z Huang ◽  
S X Li ◽  
J J Rousseau
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Rates Of Change

Data Envelopment Analysis Theory, Methodology and Applications

1997 ◽  
Vol 48 (3) ◽  
pp. 332-333 ◽  
Author(s):  
A Charnes ◽  
W Cooper ◽  
A Y Lewin ◽  
L M Seiford
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Analysis Theory
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