Study on energy efficiency in corn production of Iran

Banaeian, Narges; Zangeneh, Morteza

doi:10.1016/j.energy.2011.06.052

Cited by 66 publications

(38 citation statements)

References 20 publications

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“…For the input database of the CCR model, labor, seed, fertilizer, chemicals, agriculture machinery, diesel fuel, and irrigation water were considered as input and yield as output. Several authors studied the crop production in the context of energy efficiency using different levels of inputs and outputs in the analysis of data envelopment [36,61,62]. In Figure 4, technically and pure technically efficient DMUs have been marked as they had score of one (i.e., 40 and 46 are efficient DMUs); while 51 DMUs had a scale of one, which suggested their efficiency in productive scales.…”

Section: Data Envelopment Analysis (Dea) Resultsmentioning

confidence: 99%

Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis

Ilahi

Raza

et al. 2019

Sustainability

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Energy is a major component in enhancing agricultural productivity for the rapidly growing world population. From that fact, a comprehensive analysis of energy inputs and outputs is required to conserve energy for future generations without threatening the food supply. Therefore, this study was performed in wheat production across important cropping zones of Punjab, Pakistan. In this study, the energy use pattern of wheat production was analyzed, and the degrees of technical efficiency of Decision Making Units (DMUs) were examined using Data Envelopment Analysis (DEA). Based on the results of the DEA analysis, the inefficient energy inputs were identified and further explored with the core objective of a significant reduction of excess valuable resources. Data were collected from conducting a face-to-face questionnaire of 200 farmers. The farms for sample were chosen randomly by a stratified normal approach. The results disclosed that the input energy of 34,430.98 MJ ha−1 was used up for wheat production with an output energy of 48,267.05 MJ ha−1. Energy use efficiency, specific energy, energy productivity, and net energy gain in wheat production were calculated as 1.4 MJ kg−1, 9.27 MJ kg−1, 0.10 MJ kg−1 and 13,836.07 MJ kg−1, respectively. The average technical, pure technical, and scale efficiency of DMUs were 0.668, 0.776, and 0.828, respectively, and 0.74% of consulted DMUs were functioning at decreasing returns to scale. Additionally, the significant energy consumption belongs to fertilizer, and diesel fuel, which contribute 65% of the total energy input. If these inputs are applied and managed in line with ours optimize value (29,388.5 MJ ha−1) could save 14.65% resources, which will eventually add the equal quantity in wheat-yield. The total Greenhouse Gas (GHG) emissions were calculated to be 866.43 kg CO2-eq ha−1. In conclusion, the results of the present study suggest that there is sensible capacity for enhancing the energy efficiency of wheat production in Pakistan by accompanying the recommendations for economical energy management, sustainable and efficient use of energy is extremely encouraged.

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Section: Data Envelopment Analysis (Dea) Resultsmentioning

confidence: 99%

Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis

Ilahi

Raza

et al. 2019

Sustainability

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“…A number of studies have evaluated energy productivity and energy use efficiency of various crops including maize [6,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26]. However, generally these studies concentrated on evaluating energy productivity and energy use efficiency by applying an accounting approach [6,11,12,15,22,25].…”

Section: Introductionmentioning

confidence: 99%

Energy productivity and efficiency of maize accounting for the choice of growing season and environmental factors: An empirical analysis from Bangladesh

Rahman

2013

Energy

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“…There have been many studies related to energy use in agriculture (Swanton et al 1996;Pimentel et al 1999;Uhlin 1999;Ozkan et al 2004;Hatirli et al 2005;Karkacier & Goktolga 2005;Kempen & Kraenzlein 2008;Kizilaslan 2009;Bekhet & Abdullah 2010;Unakitan et al 2010;Banaeian & Zangeneh 2011;Asgharipoura et al 2012;Tabatabaie et al 2013). Moreover, many researchers worldwide have studied EUE in the poultry production sector, including broiler (Sibbald 1982;Andrews & Zimmermann 1990;Grobas et al 1999;Atilgan & Koknaroglu 2006;Jekayinfa 2007;Heidari et al 2011a) and laying hens (Ojo 2003;Yusuf & Malomo 2007;Ashagidigbi et al 2011, Sefeedpari et al 2012.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the energy efficiency of poultry houses in the Bursa region of Turkey

Kılıç

2015

Journal of Applied Animal Research

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Energy use in the poultry sector has grown with increasing population and standard of living. The aim of this study was to determine energy use, energy efficiency and energy consumption for broiler and laying farms in the Bursa region of western Turkey. The data were collected using surveys with an interview-based questionnaire, which were administered at 29 broiler farms and 48 layer farms. An energy input-output analysis was performed, and the significance of energy consumption differences between broiler and layer farms was determined by an analysis of variance. The energy consumption of broiler and layer farms was found to be 438.568 and 516.848 MJ(1000 bird) −1 , respectively, whereas energy output was 250.401 MJ(1000 bird) −1 for broiler farms and 384.690 MJ(1000 bird) −1 for layer farms. The forms of indirect energy and renewable energy in the total average energy inputs were higher than the direct and nonrenewable energy forms for all the surveyed poultry farms. It was found that feed had the highest share among the energy inputs for both types of poultry farms. The results of energy use efficiency illustrate that energy in broiler farms was efficiently used, whereas energy use in layer farms was not efficient.

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Study on energy efficiency in corn production of Iran

Cited by 66 publications

References 20 publications

Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis

Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis

Energy productivity and efficiency of maize accounting for the choice of growing season and environmental factors: An empirical analysis from Bangladesh

Analysis of the energy efficiency of poultry houses in the Bursa region of Turkey

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