Using measures of efficiency for regionally-targeted smallholder policy intervention: The case of Pakistan’s horticulture sector

Ahmad, Shabbir; Shankar, Sriram; Steen, John; Verreynne, Martie‐Louise; Burki, Abid A.

doi:10.1016/j.landusepol.2020.105179

Cited by 5 publications

(5 citation statements)

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“…Recent studies have used the frontier efficiency approach to calculate the yield gap in the livestock and dairy sector (Henderson, et al 2016;Mayberry, et al 2017). This approach has strong theoretical underpinning due to which it has been extensively used in several technical efficiency and yield gap assessments in agriculture, dairy, and livestock sectors (Parik, et al 1995;Abdulai and Tietje, 2007;Neumann, et al 2010;Nin-Pratt, et al 2011;Henderson, et al 2016;Mayberry, et al 2017;Silva, et al 2017, andAhmad, et al 2021). Henderson, et al (2016) have used the stochastic frontier analysis to examine the yield gap in mixed crop and livestock farmers operating in six Sub-Saharan African countries to increase food production and reduce greenhouse gas emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The null hypothesis, that herd size has no differential impact was accepted at a 1 percent level (LR test = 6.36, 𝜒 2 2 =9.21). Farm location might be a constraint limiting the capability of dairy farms to make the best use of available inputs, which could potentially be a reason for estimating a separate frontier for each district, but due to the small sample size, this was not an option (also see, Ahmad, et al 2021). Alternatively, we introduce district effects but null was strongly rejected at 1 percent level (LR test= 19.35, 𝜒 4 2 =13.28).…”

Section: Estimating the Distance Functions And Technical Inefficiency...mentioning

confidence: 99%

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Evaluating Yield Gap and Yield Improvement Potential in the Dairy Sector of Pakistan

Burki,

Arsalan Hussain,

Khan

2023

pdr

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A survey data of 600 dairy farms obtained from the largest dairy cluster in Pakistan’s Punjab was used to provide new evidence on the yield gap and yield improvement potential of dairy farms producing milk and meat. The yield gap was estimated by the frontier-based input distance function analysis. The results indicated that a large yield gap exists in the sample where an average dairy farm has a yield improvement potential of 55 percent. By closing the gap, an average dairy farm can increase yearly production of fat-corrected milk (FCM) by 120,036 kg and non-milking herd for meat by 25 heads. The evidence also shows that small farms (< 25 herd-size) are technically more efficient than those of medium (26 ≤ herd-size ≤ 50) and large farms (> 50 herd-size). The study finds clear evidence of an efficiency boost for keeping a higher share of non-milking to milking herd, a greater proportion of exotic cows to local breeds, and a higher farm-gate price of milk, which can all trigger efficiency gains. Policymakers hence have room to provide adequate intervention strategies that can help in enhancing efficiency.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Estimating the Distance Functions And Technical Inefficiency...mentioning

confidence: 99%

Evaluating Yield Gap and Yield Improvement Potential in the Dairy Sector of Pakistan

Burki,

Arsalan Hussain,

Khan

2023

pdr

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“…Both input-and output-oriented approaches have been adopted to measure technical and allocative inefficiencies [21,22]. Applications range from agriculture [23][24][25] to manufacturing [2,26] and the services sector [27][28][29]. There are also other important drivers of TFP, including scale and scope economies and technical change, which need further investigation to identify comprehensive policy insights [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Innovation and Drivers of Productivity: A Global Analysis of Selected Critical Minerals

Ahmad

2023

Commodities

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Innovation and technology are important tools for delivering efficiency and productivity improvement in the minerals sector. The uptake of technologies has proven to be an important lever for increasing the productivity of the mining sector. This paper provides a comprehensive analysis of mine-level productivity using global data of copper, gold, and platinum from 1991 to 2020. Various drivers of productivity have been analysed to draw policy insights. Empirical findings reveal significant disparities in terms of technical efficiency and productivity across mines and regions. The further decomposition of total factor productivity (TFP) into its different components suggests that the adoption of innovative practices and investment in technology adoption could improve the overall productivity of these commodities sectors. Our findings also suggest that an appropriate input mix and optimal scale of production could boost platinum mining productivity. Regional disparities in the productivity of different commodities sectors (e.g., South Africa vs. Zimbabwe) give policymakers insights into how to support production scale and productivity through appropriate input mixes.

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“…According to Matchaya (2020), policymakers must be able to increase and optimally manage public expenditure budgets in the agricultural sector but must continue to emphasize increasing intra-sectorial allocations, as well as targeting dominant areas to create sectorial growth in order to increase productivity and professionalism in managing potential sectors. Government interventions to improve efficiency and productivity can be targeted at districts that still have low levels of efficiency and growth (Ahmad, Shankar, Steen, Verreynne, & Burki, 2021).…”

Section: Potential Sub-sectormentioning

confidence: 99%

The Priorities of Leading Sub-Sector in The Sector of Agriculture, Forestry, and Fisheries in Economic Development in Bangka Belitung Province

Tanjung

Suryantini

Utami

2021

J AGRIB RURAL DEV RES

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The aim of the study is to determine the priorities of the leading sub-sector in agriculture, forestry, and fisheries on economic development in The Province of Bangka Belitung Island. The descriptive-analytical method is used to describe and explain the dynamical performance of each sub-sector. The sub-sector performance is represented by GRDP of Bangka Belitung Province and GDP of Indonesia based on constant prices in 2010 for the 2010-2020 periods. Analysis of Klassen Typology, Location Quotient (LQ), and Dynamic Location Quotient (DLQ) are conducted to determine the sub-sector and its position among other sub-sectors. The analysis results show that the plantation crop is a leading sub-sector priority for the economic development in the Bangka Belitung Province.

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Using measures of efficiency for regionally-targeted smallholder policy intervention: The case of Pakistan’s horticulture sector

Cited by 5 publications

References 38 publications

Evaluating Yield Gap and Yield Improvement Potential in the Dairy Sector of Pakistan

Evaluating Yield Gap and Yield Improvement Potential in the Dairy Sector of Pakistan

Innovation and Drivers of Productivity: A Global Analysis of Selected Critical Minerals

The Priorities of Leading Sub-Sector in The Sector of Agriculture, Forestry, and Fisheries in Economic Development in Bangka Belitung Province

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