Estimating Nitrogen Use Efficiency, Profitability, and Greenhouse Gas Emission Using Different Methods of Fertilization

Nasrullah, Muhammad; Liang, Lizhi; Rizwanullah, Muhammad; Yu, Xiuyuan; Majrashi, Ali; Alharby, Hesham F.; Alharbi, Basmah M.; Fahad, Shah

doi:10.3389/fpls.2022.869873

Cited by 8 publications

(7 citation statements)

References 57 publications

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“…The seeds used by the SWI, GWI and total sample were highly significant at 1%, with coefficients of 0.155, 0.082 and 0.133, respectively. The results demonstrate that both irrigation groups used good‐quality seeds (Nasrullah et al, 2021, 2022; Saddozai et al, 2015). The application of urea fertilizer had a significant effect on the SWI and GWI groups at 10 and 1%, while DAP had a positive effect only on the GWI group.…”

Section: Resultsmentioning

confidence: 79%

“… Source : Survey data (2020). (Table 3 is the same as the previous study of Nasrullah et al, 2020, 2022). …”

Section: Resultsmentioning

confidence: 98%

“…Source: Survey data (2020). (Table 3 is the same as the previous study of Nasrullah et al, 2020Nasrullah et al, , 2022. The estimated result of the dummy variable Mardan for the SWI and GWI groups shows that farmers of Mardan district were more efficient than those of Swabi district at the 1% level.…”

Section: Maximum Likelihood Estimation Of the Parametersmentioning

confidence: 85%

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Estimating the efficiency gap of maize yield across different irrigation methods in Pakistan

Nasrullah

Liang

Rizwanullah

2022

Irrigation and Drainage

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This study was carried out to identify and compare the efficiency levels of maize growers using surface water irrigation (SWI) and groundwater irrigation (GWI) in Khyber Pakhtunkhwa, Pakistan. The variance inflation factor and Koenker Bassett test were used to check multicollinearity and heteroscedasticity that mostly occur in the primary data. The empirical findings obtained from the stochastic frontier analysis show that irrigation plays a significant role in the maize yield in both the SWI and GWI groups. The results revealed that irrigation was the most effective input used by the growers and could significantly increase the production of maize for SWI and GWI by 26 and 11%, respectively. The projected mean efficiency of the study implies that the SWI and GWI groups can still increase their efficiency by 11.1 and 19.3% with a given amount of inputs. The various inefficiency factors used in the study significantly contribute to the efficiency level of maize growers. It is also observed that farmers with large landholdings are more willing to pay for surface water irrigation, followed by farmers who are in touch with extension agents. Based on these findings, the study also recommends some policies for increasing maize production.

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Section: Resultsmentioning

confidence: 79%

“… Source : Survey data (2020). (Table 3 is the same as the previous study of Nasrullah et al, 2020, 2022). …”

Section: Resultsmentioning

confidence: 98%

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Estimating the efficiency gap of maize yield across different irrigation methods in Pakistan

Nasrullah

Liang

Rizwanullah

2022

Irrigation and Drainage

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“…Similarly, Nasrullah [ 28 ] demonstrated that industrialization is crucial for economic growth and employment generation but also poses harmful environmental effects. In China, 83 cities have PM2.5 levels greater than or equal to 35, causing significant pollution.…”

Section: Introductionmentioning

confidence: 99%

The influence of environmental diplomacy, economic determinants and renewable energy consumption on environmental degradation: Empirical evidence of G20 countries

Rizwanullah,

Shi,

Nasrullah

et al. 2024

PLoS ONE

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This study examines how various environmental and economic variables contribute to environmental degradation. Industrialization, trade openness, and foreign direct investment are among the variables, as are environmental diplomacy, environmental diplomacy secure, and renewable energy consumption. Therefore, the data covers the years 1991–2020, and our sample includes all 19 countries and two groups (the European Union and the African Union). The research used the Pesaran CD test to determine cross-section dependency, CIPS and CADF test to determine stationarity, the Wald test for hetrodcedasasticity and the Wooldridge test for autocorrelation; therefore, VIF for multicollinearity, Durbin and Hausman to analyze the endogeneity. It also employed Westerlund’s cointegration test to ensure cross-sectional dependence, Wald test for group-wise heteroscedasticity, Wooldridge test for autocorrelation, VIF for multicollinearity, and Durbin and Hausman for endogeneity. The two-step system generalized method of moments (GMM) is used to estimate the results and confirm the relationship between independent variables (Industrialization, trade openness, FDI, environmental diplomacy, secure environmental diplomacy, and renewable energy) and dependent variables (Environmental Degradation) in G20 countries. Therefore, Industrialization, trade openness, foreign direct investment, ecological diplomacy, and renewable energy consumption significantly impact ecological degradation. Environmental diplomacy is crucial to combat degradation and stimulate global collaboration. G20 nations enact strict environmental restrictions to tackle climate change and encourage economic growth.

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“…The release of excessive greenhouse gases, particularly carbon dioxide, leads to ecological deterioration and alterations in weather patterns. Any disruption in wheat production could have significant consequences for food security and the economies of developing nations, such as Pakistan, which depend heavily on agriculture [ 3 , 4 ]. Agriculture’s fundamental role in maintaining human life and prosperity has been firmly entrenched in people’s cultural practices and economic systems throughout history [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

The impact of carbon emissions from lag fertilization on wheat production

Rahim,

Peng,

Chen

et al. 2024

PLoS ONE

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This study examines the influence of lag fertilization techniques on Pakistani wheat production, highlighting the need to understand and mitigate the environmental impacts of farming methods. The basic purpose of this study is to investigate the impact of CO2 emission from fertilization and other factors on wheat production in Pakistan, using a time series of data from 1990 to 2020. CO2 emission from fertilization (CO2EF) is estimated using the default values provided by the IPCC guidelines. The ARDL approach analyses the short-run and long-run effects of CO2EF, technology level, energy use, agricultural land, and agricultural labor on wheat production. The results show that all factors have significantly impacted wheat production in Pakistan at levels of 1% and 5% significance, both in the short and long run. These findings suggest that reducing CO2EF, technology level, energy use, agricultural land, and agricultural labor on wheat production can help to increase wheat production in Pakistan. The study also highlights the importance of adopting sustainable and efficient fertilization practices, exploring alternative fertilizers, and using crop rotation systems to mitigate the adverse effects of carbon emissions from nitrogen fertilization, energy use, and the use of technology. These measures can contribute to a more sustainable and climate-resilient agriculture sector in Pakistan.

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Estimating Nitrogen Use Efficiency, Profitability, and Greenhouse Gas Emission Using Different Methods of Fertilization

Cited by 8 publications

References 57 publications

Estimating the efficiency gap of maize yield across different irrigation methods in Pakistan

Estimating the efficiency gap of maize yield across different irrigation methods in Pakistan

The influence of environmental diplomacy, economic determinants and renewable energy consumption on environmental degradation: Empirical evidence of G20 countries

The impact of carbon emissions from lag fertilization on wheat production

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