Estimating Growth Rates and Decomposition Analysis of Agricultural Production in Iran (1970-2000)

Shadmehri, Mohammad Taher Ahmadi

doi:10.3923/tae.2008.14.26

Cited by 12 publications

(9 citation statements)

References 9 publications

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“…Since analyzing the growth rate in area, production and yield of cassava does not account for the relative contributions of area and yield towards the total output change, this paper adapted component/decomposition analysis model to achieve same. The literature is replete with evidence of how this model has been used to estimate relative growth performance of individual output in agricultural production ( Shadmehri, 2010 ; and Rehman et al., 2011 ; Devi et al., 2017 ).…”

Section: Methodsmentioning

confidence: 99%

Cassava production in Nigeria: trends, instability and decomposition analysis (1970–2018)

Ikuemonisan¹,

Mafimisebi²,

Ajibefun³

et al. 2020

Heliyon

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This study analyzed the compound growth rate (CGR) and the contributions of yield and area to cassava production output in Nigeria. During the period, TE1970 – TE2018, production followed an upward trajectory from 9.3 million tonnes (1970) to 59.5 million tonnes (2018) while yield oscillated between 7.9tonnes/ha (TE2014) and 11.9tonnes/ha (TE2010). At this period, the CGR per year for yield declined (-0.2%), harvested area increased (10.9%) and production increased (10.6%). The decomposition analysis for the period revealed that, increase in output was largely due to expansion of harvested area (152%) while the interaction between area and yield effect declined production output by 45.8%. Regrettably, during the period, cassava yield also declined production output by 5.8%. The study also found that harvested area has the highest instability index (11.8). In order to further increase and sustain cassava production in Nigeria, intense planting of high yield cassava stems instead of solely expanding cropped area is recommended.

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Section: Methodsmentioning

confidence: 99%

Cassava production in Nigeria: trends, instability and decomposition analysis (1970–2018)

Ikuemonisan¹,

Mafimisebi²,

Ajibefun³

et al. 2020

Heliyon

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“…For this purpose, time-series data on wheat production, area cultivated and yield were collected from different issues of economic survey of Pakistan. For estimating growth rates for the wheat area under cultivation, wheat production and yield, a method of compound growth rate was applied like Shadmehri (2008). The compound growth rate was calculated by using a semi-log trend equation.…”

Section: Methodsmentioning

confidence: 99%

“…Mahir and Abdelaziz (2010) studied the growth rate for the area, productivity and production and component analysis of the main crops in Gezira for only two time periods. Shadmehri (2008) studied the growth rate trends in the area, production and yield in Iran for pre and the post-revolutionary period from 1970 to 2000. Rehman et al (2011) did the same analysis in Pakistan on wheat from 1972-2009.…”

Section: Introductionmentioning

confidence: 99%

Decomposition Analysis of Wheat Growth and Its Policy Implications in Pakistan

et al. 2020

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Wheat is an incredibly political crop because of its inelastic demand in Pakistan. Wheat accounts for almost 50 percent calorie intake in the country with a relatively greater share in total calorie intake in rural areas of the country. Despite the sensitivity of this crop, it is always challenged by various factors like climate change along with other economic and political influences make it difficult to meet the nutrient requirement of the rapidly growing population. For a better-informed policy framework, it is necessary to study the previous patterns of growth of the wheat crop and its contributing factors to formulate more vigorous growth targets of the wheat crop in the future. For this purpose, we decomposed wheat growth into the area, yield and their joint effect from 1947 to 2016 both overall and decade wise to study any structural breakdown overtime. The results of the decomposition analysis reveal that the area contribution of wheat remained 35 percent while yield contribution was 61 percent. The same is the case in decade wise analysis which reveals that in future yield can be increased by adopting favourable policies to harness the yield potential of wheat in the country.

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“…About 60 to 98.9 per cent growth in crop output was arisen due to yield effect. Production of rice (56.6 per cent), pulses, cotton (206.7 per cent), oilseeds and potato was increased due to expansion of area [16].…”

Section: Decomposition Of Output Changementioning

confidence: 99%

Decomposition Analysis of Mango Production by Adopting Good Agricultural Practices in Tamil Nadu

Kavitha

Gowri

2020

CJAST

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Adoption of Good Agricultural Practices (GAP) aids in endorsing optimum utilization of resources with eco-friendly agriculture to ensure safety supply of food. This study was carried out to apply decomposition analysis for segmenting productivity changes due to adoption of good agricultural practices in mango cultivation. The output decomposition model was used for investigating the contribution of various constituent sources to the productivity difference between the GAP farming and the conventional methods of mango cultivation. The difference in technology contribution for total productivity variation alone was higher with 75.59 per cent and 93.17 per cent which could reveal that the farmers have obtained 75.59 per cent and 93.17 per cent more output per hectare by adopting good agricultural practices when compared to conventional borrowers and conventional non borrowers respectively. The contribution of differences in input use level to the productivity difference was meager at 11.40 per cent and 0.69 per cent for conventional borrowers and conventional non borrowers respectively. The mango farmers practicing good agricultural practices obtained higher output by spending slightly more on the inputs compared to those practicing conventional method. Therefore, concentrated efforts needs to be made to encourage the farmers to adopt Good Agricultural Practices to get real eco-friendly benefits.

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Estimating Growth Rates and Decomposition Analysis of Agricultural Production in Iran (1970-2000)

Cited by 12 publications

References 9 publications

Cassava production in Nigeria: trends, instability and decomposition analysis (1970–2018)

Cassava production in Nigeria: trends, instability and decomposition analysis (1970–2018)

Decomposition Analysis of Wheat Growth and Its Policy Implications in Pakistan

Decomposition Analysis of Mango Production by Adopting Good Agricultural Practices in Tamil Nadu

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