Energy-use patterns under various farming systems in Punjab

Singh, Surendra; Mittal, Jai P.; Singh, Manpreet; Bakhshi, R.

doi:10.1016/0306-2619(88)90013-x

Cited by 19 publications

(7 citation statements)

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“…Plenty of studies had estimated the efficiency of different crops using parametric and nonparametric techniques: for example, Kizilaslan (2009) conducted a study using a nonparametric approach to investigate consumption efficiency for cherries production in Turkey; Mohammadi and Omid (2010) greenhouse cucumber in Iran; S. Singh et al (1988) in six different agricultural climate zones in Indian Punjab; Ozkan et al (2004) in greenhouse vegetables; Mandal et al (2002) on soybean in India; Alimagham et al (2017) on soybean in Iran; Pishgar-Komleh et al (2012) on potato crop in Iran; Hatirli et al (2005) in agriculture production in Turkey; G. Singh et al (2004) on wheat production in India; Mohammadi et al (2008) on potato in Iran; and Hatirli et al (2006) on tomato in Turkey.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan

et al. 2020

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Considering the farmer’s decision of quitting cotton plantation due to low economic incentives, the current research is intended to evaluate the economic viability of cotton growers in Punjab. A comprehensively pretested questionnaire was used to gather the information from 240 cotton growers in face-to-face interviews. The cost–benefit ratio was estimated by calculating incurred variable costs, revenue generated, net farm income, and gross margin. The data envelopment analysis was applied to explore the economic, technical, and allocative efficiencies of the cotton producers. The second-stage regression analysis was also conducted to evaluate the socioeconomic factors affecting farmer’s efficiencies by applying the Tobit regression model. The small farmers were found to be most vulnerable group with low returns on investments and low technical and economics efficiencies score. The results also indicate that the financial constraints, difficulty to access agriculture credit, access to extension services, and lack of formal education are the main factors affecting farmer’s efficiency. The government should regulate the input prices and agriculture department should provide formal training to the farmers to adopt better management practices to reduce cost of production.

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Section: Literature Reviewmentioning

confidence: 99%

Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan

et al. 2020

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“…In general, increases in the agricultural production on a sustainable basis and at a competitive cost are vital to improve the farmer's economic condition [8]. Although many experimental works have been conducted on energy use in agriculture [9][10][11][12][13][14][15][16][17], there are few studies on the energy and economical analysis of greenhouse crops production. Ozkan et al [18] studied energy use for greenhouse vegetable (tomato, cucumber, eggplant and pepper) production in Turkey.…”

Section: Introductionmentioning

confidence: 99%

Economical analysis and relation between energy inputs and yield of greenhouse cucumber production in Iran

2010

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“…Direct energy is the energy used directly on farm in the form of labor, electricity, water and fuel. Indirect energy is the off-farm energy used in manufacturing processes, in the form of seed, fertilizer, pesticides and machinery [15]. Furthermore, input energy can also be classified as renewable and non-renewable energies.…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have quantified the energy use and GHG emissions in agriculture and specifically, in wheat production, e.g., energy use and efficiency evaluation in wheat production in China [20], energy auditing in different cropping systems in India [3,15,[29][30][31][32][33][34][35][36], energy analyses and GHG emissions from different crops in Iran [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53], assessment of on-farm energy use and GHG emissions from wheat in New Zealand [1,18,54,55], analyses of agricultural energy in Bangladesh [56], energy input-output analysis in Turkey for production of cotton, vegetables, grapes, sugar beet and dry apricot [17,[57][58][59][60][61][62][63], effect of fertilizer management on GHG emissions in agriculture [64], energy and economic analyses for different vegetables in Indonesia [65] and estimation of energy use and CO 2 emissions in Thailand [66...…”

Section: Introductionmentioning

confidence: 99%

Investigation of Input and Output Energy for Wheat Production: A Comprehensive Study for Tehsil Mailsi (Pakistan)

et al. 2020

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The global increasing food demand can be met by efficient energy utilization in mechanized agricultural productions. In this study, input–output energy flow along with CO2 emissions for different wheat production cases (C-I to C-V) were investigated to identify the one that is most energy-efficient and environment-friendly case. Data and information about input and output sources were collected from farmers through questionnaires and face-to-face interviews. Input and output sources were converted into energy units by energy equivalents while CO2 emissions were calculated by emission equivalents. Data envelopment analysis (DEA) was conducted to compare technical efficiencies of the developed cases for optimization of inputs in inefficient cases. Results revealed that case C-Ⅴ (higher inputs, larger fields, the tendency of higher fertilizer application and tillage operations) has the highest energy inputs and outputs than the rest of the cases. Moreover, it possesses the lowest energy use efficiency and energy productivity. The highest CO2 emissions (1548 kg-CO2/ha) referred to C-Ⅴ while lowest emissions per ton of grain yield were determined in C-Ⅳ (higher electricity water pumping, moderate energy input). The grain yield increases directly with input energy in most of the cases, but it does not guarantee the highest values for energy indices. C-Ⅲ (moderate irrigations, educated farmers, various fertilizer applications) was found as an optimum case because of higher energy indices like energy use efficiency of 4.4 and energy productivity of 153.94 kg/GJ. Optimum input and better management practices may enhance energy proficiency and limit the traditionally uncontrolled CO2 emissions from wheat production. Therefore, the agricultural practices performed in C-Ⅲ are recommended for efficient cultivation of wheat in the studied area.

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Energy-use patterns under various farming systems in Punjab

Cited by 19 publications

References 1 publication

Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan

Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan

Economical analysis and relation between energy inputs and yield of greenhouse cucumber production in Iran

Investigation of Input and Output Energy for Wheat Production: A Comprehensive Study for Tehsil Mailsi (Pakistan)

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