Dynamic energy efficiency assessment of dairy farming system in Iran: Application of window data envelopment analysis

Sefeedpari, Paria; Shokoohi, Zeinab; Pishgar-Komleh, Seyyed Hassan

doi:10.1016/j.jclepro.2020.124178

Cited by 22 publications

(5 citation statements)

References 51 publications

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“…Technical efficiency (TE) plays a significant role in dairy farm profitability and directly influences the potential for optimizing resource use [16,17]. Understanding the relationship between TE and milk production levels is therefore of interest.…”

Section: Literature Reviewmentioning

confidence: 99%

Technical Efficiency, Economic Sustainability, and Environmental Implications of Dairy Farms in Pakistan

Razzaq,

Qin,

Anwar

et al. 2024

Pol. J. Environ. Stud.

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Dairy production is a significant contributor to food security; however, it also causes environmental problems such as greenhouse gas emissions, water pollution, and land degradation. Pakistan, a country highly vulnerable to climate change, relies heavily on its dairy sector. This sector largely consists of small farms where sustainability practices may be limited. Understanding the economic and environmental impacts of these practices on Pakistan's rural and peri-urban dairy farms is critical, yet research in this area remains scarce. This study analyzes the economic and environmental sustainability of Pakistani dairy production in rural and peri-urban areas, considering farm structure, market factors, technical efficiency, and associated policy challenges. Data from 100 farms near Lahore were analyzed using farm budgeting, Data Envelopment Analysis (DEA), and truncated regression. Results indicate that Pakistani dairy production faces limited profitability, driven largely by feed costs. Rural farms showed higher profit margins, often due to lower input costs, but were generally less technically efficient. This low efficiency carries potential environmental consequences. Truncated regression revealed that education, experience, and family size have a significant influence on technical efficiency. Findings suggest the need for targeted interventions, such as extension services tailored to the needs of rural and peri-urban farmers, promoting improved feed practices, and supporting the adoption of sustainable technologies, to enhance the economic viability and environmental sustainability of Pakistan's dairy sector.

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Section: Literature Reviewmentioning

confidence: 99%

Technical Efficiency, Economic Sustainability, and Environmental Implications of Dairy Farms in Pakistan

Razzaq,

Qin,

Anwar

et al. 2024

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

show abstract

“…Mardani (Mardani & Salarpour, 2015) also applied DEA in Iran for companies in potato production to measure and analyze their efficiency. Dairy farms researched by Sefeedpari (Sefeedpari, Shokoohi, & Pishgar-Komleh, 2020) indicated substantial room for improvement in the industry in Iran. The same industry was examined by Stokes et al (Stokes, Tozer, & Hyde, 2007) in Pennsylvania (United States) and found that more than 70% of the farms could improve their efficiency and laid down guidelines to achieve it.…”

Section: Literature Reviewmentioning

confidence: 99%

New Product Development Creativity: A Data Envelopment Analysis Approach

2022

JMDC

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Innovation is critical for firm competitiveness and survival. A crucial part of innovation is team brainstorming and idea generation. Using a sample of one hundred and twenty-eight new product development managers in the United States, we examine communication factors that support the highest levels of efficiency for generating novel, useful, and manufacturable ideas during the initiation stage of the new product development process. The efficiency of new product development managers in achieving desirable creativity levels when examining these factors is assessed using Data Envelopment Analysis (DEA). The study results provide practical recommendations to enhance team creative output by adjusting input values based on the performance of the most efficient units.

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“…Another study that has implemented Window DEA methodology for energy efficiency in the Spanish electricity sector, used an arbitrary window width of five years for an overall 9-year-period (2006-2015) [53]. A similar approach with this paper has been followed for the assessment of dairy farming system in Iran, exploring differences between different window widths when using Window DEA [54]. Differences indicate a decreasing average score for all DMUs involved, due to the enlargement of window width.…”

Section: State Of the Artmentioning

confidence: 99%

Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA

2021

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Providing food security while preserving natural resources and reducing the use of production factors (land, labor, and capital), is a critical challenge for EU agricultural sectors in the 21st century. Sustainable Development goals adoption has increased the need for eliminating Greenhouse gas emissions across all EU sectors, while production should remain stable or even increase. For this purpose, Window Data Envelopment Analysis (DEA) has been selected as a benchmarking technique, in order to assess input use efficiency of agricultural sectors of EU countries for the 2005–2019 period. Moreover, three-year projections (until 2022) have been calculated in order to acquire future efficiency scores. Emphasis has been given on the selection of alternative window widths, examining their influence on calculating efficiency scores for both projected and actual dataset. From a methodological point of view, this paper aims to highlight the assumption of zero technological change within Window DEA frames and present their differences. At the same time, results indicate that Estonia (1.000), the Netherlands (0.999) and Slovenia (0.999) are the most efficient countries in terms of input use efficiency, while Finland, UK, and Hungary (0.670, 0.755 and 0.771) score the least. Countries of central Europe (Hungary, Czech Rep., Croatia, Slovakia, and Austria) should redesign their agricultural strategies, so as to achieve the nine objectives of the upcoming CAP (2021–2027).

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Dynamic energy efficiency assessment of dairy farming system in Iran: Application of window data envelopment analysis

Cited by 22 publications

References 51 publications

Technical Efficiency, Economic Sustainability, and Environmental Implications of Dairy Farms in Pakistan

Technical Efficiency, Economic Sustainability, and Environmental Implications of Dairy Farms in Pakistan

New Product Development Creativity: A Data Envelopment Analysis Approach

Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA

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