Congruously designed eco-curative integrated farming model designing and employment for sustainable encompassments

Iram, Shazia; Iqbal, Ayesha; Ahmad, Khuram Shahzad; Jaffri, Shaan Bibi

doi:10.1007/s11356-020-08499-5

Cited by 8 publications

(3 citation statements)

References 56 publications

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“…The optimal agricultural production efficiency must consider both agricultural production increase and emission control [20]. Most literature believes that the selection of output variables should include expected and unexpected output [21]. From the C-D production function perspective, input factors mainly include labor force, land, capital, and technology [22].…”

Section: Input and Output Indicatorsmentioning

confidence: 99%

Analysis of the Spatial Differentiation and Promotion Potential for Agricultural Eco-Efficiency—Evidence of Pollution’s Strong Disposability

SHI

Ren

et al. 2023

IJERPH

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Agricultural eco-efficiency is an important indicator used to measure agriculture’s high-quality and sustainable development. Therefore, this paper uses the EBM-Super-ML method with strong disposability of undesired output to calculate Chinese agricultural eco-efficiency and uses a geographical detector to measure the driving force of the factor. The research conclusions are mainly reflected in three aspects. Firstly, from the perspective of eco-efficiency changes, the overall mean value of agricultural eco-efficiency increased by 3.5%, and the regional heterogeneity is significant, with the fastest growth in the eastern region. Secondly, the results of driving force analysis show that the main driving factors of agricultural eco-efficiency divergence are capital inputs, total carbon emissions, labor inputs, agricultural film residues, fertilizer use, and pesticide residues, with driving forces of 0.43, 0.37, 0.34, 0.31, 0.28, and 0.20, respectively. Finally, from the perspective of eco-efficiency improvement potential, the mean value of output improvement potential is 5%, and the input factor is 7%. Among the non-desired outputs, the reduction rate of agricultural films can reach 40%. Among the input factors, labor input has the highest potential for intensive use, while agricultural machinery has a negative effect. Therefore, strengthening the development of the agricultural service industry is of great significance to improve the utilization rate of mechanical equipment and reduce the undesired output of agriculture.

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Section: Input and Output Indicatorsmentioning

confidence: 99%

Analysis of the Spatial Differentiation and Promotion Potential for Agricultural Eco-Efficiency—Evidence of Pollution’s Strong Disposability

SHI

Ren

et al. 2023

IJERPH

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show abstract

“…The optimal agricultural production e ciency needs to consider both agricultural production increase and agricultural emission control [26] . Most literature believes that the selection of output variables should include expected and unexpected output [32] . From the perspective of the C-D production function, input factors mainly include labor force, land, capital, and technology [25] .…”

Section: Variables and Datamentioning

confidence: 99%

Analysis on the Spatial and Temporal Differences of AEE and Its Potential Improvement in China Based on Strong Disposability

SHI

2022

Preprint

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Agricultural eco-efficiency (AEE) emphasizes the unification of agriculture production efficiency and environmental benefits. It is an important indicator to measure agriculture's high-quality and sustainable development. Therefore, improving agricultural ecological efficiency is the key to achieving high-quality and sustainable agricultural development. The work uses the EBM-Super-ML method with strong disposability of undesired output to calculate the AEE and further in-depth the spatial-temporal differences driving factors and promotion potential of AEE. The result shows that the overall average value of China's AEE is increasing and has substantial regional heterogeneity. From the analysis of the improvement potential of agricultural ecological efficiency, the mean value of output inefficiency is 0.05, and input inefficiency is 0.07. Among the undesired output, the emission reduction ratio of the agricultural film can reach up to 40%. Among the input elements, the potential for intensive use of labor input is the largest, the average value in the eastern region is relatively high. The input intensity coefficient of agricultural machinery is negative, so the utilization rate of machinery and equipment should be increased. Based on this, the paper put forward some policy recommendations to improve agriculture's high-quality, sustainable development and the AEE.

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“…According to a report, wheat constitutes 60% of the daily caloric intake of the average Pakistani, and it is grown over land of 9 million hectares throughout the country (Haider and Zaidi, 2017). Currently, the population of the country is escalating day by day, and thus, the burden on agriculture to meet food demand is increasing (Iram et al, 2020). Therefore, wheat production is not ample to meet the country's ever-increasing population growth rate of 2.5% per annum.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Wheat Foliar Rust Infestations in the Upper, Middle, and Lower Pothwar Regions of Punjab, Pakistan

Sami,

Iram

2023

Plant Prot.

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In the present study, the incidence and severity of yellow rust and brown rust in different regions of Pothwar have been studied. The lower Pothwar region (Jhelum) had the highest incidence of brown rust with a prevalence of 54.3%, while Rawalpindi had the highest incidence of yellow rust in the upper region with a prevalence of 26.8%. In the middle region (Attock), brown rust incidence was the lowest with a prevalence of 4.6%. The severity of both rusts varied among locations, with some locations experiencing severe outbreaks while others had little or no incidence. The highest incidence of both rusts was observed in Harrial for yellow rust (90%) and Balla for brown rust (100%). The severity of rusts ranged from Resistant to Moderately Susceptible. The study examined the yield attributes of wheat crops in the Upper, Middle, and Lower Pothwar regions of Pakistan. The results showed that Rawalpindi district had the highest crop yield, while Jhelum had the lowest. The study also found a correlation between disease incidence and various environmental factors such as temperature, humidity, precipitation, tillers per meter length, tillers per meter square, number of grains per spike, and grain weight. Yellow rust had a strong correlation with humidity, tillers per meter square, and grain weight, while brown rust showed a strong correlation with temperature, precipitation, and humidity. The study highlights the importance of understanding the relationship between environmental factors and crop yield to ensure food security.

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Congruously designed eco-curative integrated farming model designing and employment for sustainable encompassments

Cited by 8 publications

References 56 publications

Analysis of the Spatial Differentiation and Promotion Potential for Agricultural Eco-Efficiency—Evidence of Pollution’s Strong Disposability

Analysis of the Spatial Differentiation and Promotion Potential for Agricultural Eco-Efficiency—Evidence of Pollution’s Strong Disposability

Analysis on the Spatial and Temporal Differences of AEE and Its Potential Improvement in China Based on Strong Disposability

Assessment of Wheat Foliar Rust Infestations in the Upper, Middle, and Lower Pothwar Regions of Punjab, Pakistan

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