Allocative efficiency analysis of wheat and cotton in district Khanewal, Punjab, Pakistan

Zulfiqar, Farah; Shang, Jie; Nasrullah, Muhammad; Rizwanullah, Muhammad

doi:10.1007/s10708-020-10228-x

Cited by 13 publications

(8 citation statements)

References 39 publications

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“…The projected elasticity of the area shows a 0.64% and 0.02% increase in maize production of TD and DP groups if there is a 1% increase in the area. The results are coinciding with the previous studies of Nasrullah et al (2019) and Zulfiqar et al (2020a), which stated that soil fertility and better management of land can increase production. Likewise, the irrigation application in the projected area is also significant at a 1% significance level for both TD and DP.…”

Section: Correlation Analysissupporting

confidence: 89%

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

et al. 2022

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Fertilization is a way to better use nitrogen fertilizers and increase productivity, but in another way, fertilization is also a source of anthropogenic greenhouse gas emissions. The study was carried out to measure the profitability ratio, technical efficiency, and CO2 from the top dressing (TD) and deep placement (DP) fertilization. The study was based on primary data, which were collected from different respondents and areas through a well-designed questionnaire. The study finds that DP fertilization is more profitable, least costly, and more efficient than TD fertilization. The finding observed that the yield of the TD growers is 727.82 kg/ha more than that of TD respondents. The efficiency score shows that to reach the 90% efficiency level, the farmers of TD need to use DP fertilization. The farmers of TD and DP can still increase their efficiency up to 12% and 9% by using the same inputs. The findings also clarify that manufacturing of synthetic nitrogen (N), direct use of N, Yield, and Area-Scaled greenhouse gas (GHG) emissions from the use of synthetic N through TD fertilization are greater than that of the DP group. The farming community needs to be aware of greenhouse gas emissions and how they can be reduced. It is also suggested that farmers need to shift toward DP fertilization to increase yield, profit, efficiency, food security, and reduce GHG emissions.

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Section: Correlation Analysissupporting

confidence: 89%

“…The farmer with more land pays more attention to farming. Zulfiqar et al (2020a) and Nasrullah et al (2019) stated that soil fertility and better management of land can increase production. Likewise, the irrigation application in the projected area is also significant for both TD and DP.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2022

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“…This result reflects the soil fertility, cropping system, perfection of labour and possible prices of input used. The results coincide with those of the previous study by Zulfiqar et al (2020a) but are different from those of Ali et al (2019). The area used by the respondent did not affect maize production for the SWI group, as in the previous study by Nasrullah et al (2019) and Hassan and Ahmad (2005).…”

Section: Maximum Likelihood Estimation Of the Parameterssupporting

confidence: 88%

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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“…The coefficient of labor was positively associated with the cotton production, implying that a 1% increase in labor force would improve the technical efficiency by 1.3% in cotton production. The results are similar to the previous studies, indicating that the cultivated area, labor, and seed variables under the cotton crop remain significant contributors, leading to improved technical efficiency in cotton production in Pakistan [1,28,39,40,51].…”

Section: Elasticity Of Productionsupporting

confidence: 87%

“…Accordingly, very few studies have analyzed the Pakistan cotton productivity, and efficiency [1], particularly when "multiple inputs leads to a single output" are involved. Such studies either measure the total factor productivity for multi-crops [28] or the sub-sector of Pakistan [26] to analyze the relationship between productivity and agricultural research expenditures or conduct research on the basis of comparative analysis [1]. As agriculture productivity is expected to be influenced by different factors unique for each crop, a crop-wise analysis at the national level would be more useful [19].…”

Section: Cotton Production and Pakistan Casementioning

confidence: 99%

Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case

Arshad¹,

Yuan-feng

Hanif

et al. 2022

Sustainability

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Managing the declining yield of non-food crops has opened new strategic challenges amidst global uncertainties. The COVID-19 scenario has increased awareness of natural lifestyle and eco-friendly products, largely dependent on non-food crop material. This strategic shift requires moving beyond traditional farm practices to improve agricultural production efficiency, and developing countries in particular have shown a consistent loss in their self-sufficiency of industrial crops despite being major exporters of non-food crop materials. However, existing studies analyze production efficiencies of non-food crops from general or theoretical aspects often by virtual estimates from breaking down the multiple factors of crop productivity. This study examined multiple factors of crop production to identify “which crop inputs have been inefficiently used overtime” by tracking efficiency changes and various input issues in overall cotton production from practical aspects, i.e., scaling non-constant returns of those multiple factors would allow for the violation of various situations. Accordingly, a stochastic frontier approach was employed to measure the production frontier and efficiency relationship using time-series data of Pakistan’s cotton production from 1971–2018—a specific non-food crop perspective from a top-ranked cotton-producing country that has recently been shifted towards being a non-exporter of cotton due to low yield. The coefficient of area, seed, and labor indicates the positive relationship with cotton production, while fertilizer, irrigation, electricity, and machinery are statistically negative. This implies that policymakers need priority-based strategies for the judicial use of synthetic fertilizers, irrigation, a subsidy policy, and technology adoption, which could significantly improve the efficiencies of cotton productivity from the same land resources. Being adaptable to other developing economies, the analysis would strategically facilitate designing and developing affordable technology-driven solutions and their customized extensions towards sustainable non-food crop production practices and Agri-Resources efficiencies.

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Allocative efficiency analysis of wheat and cotton in district Khanewal, Punjab, Pakistan

Cited by 13 publications

References 39 publications

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

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

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

Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case

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