The determinants of technical efficiency in mixed-crop food production in Nigeria: A stochastic parametric approach

AbstractClimate adaptation is an essential strategy for responding to climate change at local levels and required for sustainable food production to meet the growing food demand. In this light, this study analyzed the effects of climate adaptation strategies on technical efficiency of maize farmers in Northern Ghana. This involved a total of 619 maize farmers that were selected through a multistage sampling procedure. A Cobb-Douglas stochastic frontier was fitted to the data. From the result, the major climate adaptation strategies adopted by the farmers include row planting, changing planting date, mixed farming, refilling, and intercropping. The frontier result shows that while climate adaptation significantly leads to higher maize outputs, only crop rotation and row planting significantly improve technical efficiency of maize farmers. Other factors that significantly influence maize output are farm size, labor, seed, and chemicals. The study concludes that climate adaptation, particularly, crop rotation and row planting, remains essential adaptation strategies for sustainable food production in the region. However, further understanding of mechanisms through which majority of the climate adaptation strategies significantly reduce technical efficiency is required.

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Performance of Sugarcane Farming Ratoon System in East Java Province

HABITAT ◽

10.21776/ub.habitat.2021.032.2.11 ◽

2021 ◽

Vol 32 (2) ◽

pp. 93-100

Author(s):

Arief Saputro ◽

Nuhfil Hanani ◽

Fahriyah Fahriyah

Keyword(s):

Technical Efficiency ◽

Random Sampling ◽

Scale Efficiency ◽

Data Envelopment ◽

Parametric Approach ◽

Sugar Consumption ◽

Sugarcane Farming ◽

Central Production ◽

Production Area ◽

Production Increase

The fulfillment of national sugar consumption needs cannot be achieved by domestic production. Increase sugar cane production to fulfill the availability of sugar in Indonesia, one of which in the central production area of East Java is still constrained by many sugarcane farmers who are doing ratoon system more than three times, so the productivity is low. This study aimed to analyze the performance sugarcane farming ratoon system in East Java by looking at technical efficiency and scale efficiency using the non-parametric approach of Data Envelopment Analysis (DEA). Sampling in this study used multistage random sampling in Kediri, Malang, and Mojokerto Districts. The average total technical efficiency (TE CRS) of farmers with 1-3 ratoons is 0.754, the pure technical efficiency (TE VRS) is 0.817, and the scale efficiency is 0.926. The average TE CRS of farmers with 4-6 ratoons is 0.693, TE VRS is 0.814, and the scale efficiency is 0.860. For farmers who do more than seven ratoons, an average TE CRS is 0.609, TE VRS is 0.693, and scale efficiency is 0.894. The majority of sugarcane farmers at the research site have not been on an optimal business scale, namely in IRS conditions.

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TECHNICAL EFFICIENCY OF OFFSHORE SUPPLY VESSEL ACCIDENT: A PARAMETRIC APPROACH

JOURNAL OF MARITIME LOGISTICS ◽

10.46754/jml.2021.08.005 ◽

2021 ◽

Vol 1 (1) ◽

pp. 60-71

Author(s):

KASYPI MOKHTAR ◽

◽

FITRI AL-AZIZI BAHAR ◽

SITI MARSILA MHD RUSLAN ◽

ANUAR ABU BAKAR ◽

...

Keyword(s):

Technical Efficiency ◽

Parametric Approach

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Productivity Hot Spots and Cold Spots: Setting Geographic Priorities for Achieving Food Production Targets

Frontiers in Sustainable Food Systems ◽

10.3389/fsufs.2021.727484 ◽

2021 ◽

Vol 5 ◽

Author(s):

Rusyan Jill Mamiit ◽

John Yanagida ◽

Tomoaki Miura

Keyword(s):

Technical Efficiency ◽

Food Production ◽

Stochastic Frontier Analysis ◽

Hot Spot ◽

Supply And Demand ◽

The Philippines ◽

Rice Production ◽

Hot Spot Analysis ◽

Frontier Analysis ◽

Spot Analysis

Rice is the most important staple food in the Philippines as it provides almost half of the calorie requirements of the population. The domestic supply of rice, however, is inadequate to meet local demand, making the Philippines one of the top five rice-importing countries in the world. To close the domestic supply-and-demand gap, agricultural planners and policymakers in the Philippines have been promoting interventions to increase farm-level productivity. In support of the government efforts to increase rice productivity, a stochastic frontier analysis combined with an optimized spatial hot spot analysis was conducted to determine the factors that may influence the increase in rice farm efficiency and also identify candidate areas for relevant geographic-specific rice production interventions. Results show that enhancing access to irrigation and farm inputs and increasing the producers' technical capacity can help address the local supply deficiency by potentially increasing yield per hectare to as high as 5.50 metric tons per hectare. The approach to potentially increase rice farm technical efficiency and productivity must consider the spatial nature of rice production as suggested by the findings from the optimized hot spot analysis. It is important that policy interventions consider areas with a high incidence of low levels of productivity and technical efficiency. These are the locations where agricultural planners and policymakers can make greater impacts on rice yields. Relevant policies and initiatives, therefore, should take into account the geographical location of farms to ensure the greatest contribution to attaining food production targets.

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Measuring the economic performance of mixed crop-livestock farming systems in Egypt: A non-parametric DEA approach

New Medit ◽

10.30682/nm2002i ◽

2020 ◽

Vol 19 (2) ◽

Author(s):

Osama Ahmed ◽

Supawat Rungsuriyawiboon ◽

Sameh Abdelsalam

Keyword(s):

Technical Efficiency ◽

Economic Performance ◽

Farming Systems ◽

Farm Size ◽

Delta Region ◽

Livestock Farming ◽

Livestock Farming Systems ◽

Parametric Data ◽

Mixed Crop ◽

Non Parametric

This study examines the relative technical efficiency of mixed crop-livestock farming systems and assesses their economic performance between the Upper and Delta regions of Egypt. A non-parametric data envelopment analysis (DEA) method is empirically applied for measuring technical efficiency using farm-level data for 838 mixed crop-livestock farmers. The findings show that the mixed crop-livestock farms in Egypt are operating at a low level of technical efficiency, indicating most farms are unable to catch up with the current production frontier and existing production technologies. Farms in the Delta region perform slightly better than those farms in Upper Egypt. Results also suggest that technical efficiency improvement is positively affected by farmers’ education, having a farm milk production certificate, and being located in the Delta region, whereas farm size negatively affects the economic performance of mixed crop-livestock farming systems in Egypt. ,,

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Factors Influencing Technical Efficiency of Paddy Farms in Mullaitivu District: Non – Parametric Approach

Wayamba Journal of Management ◽

10.4038/wjm.v12i1.7528 ◽

2021 ◽

Vol 12 (1) ◽

pp. 348

Author(s):

A. Thayaparan ◽

N. Neruja

Keyword(s):

Technical Efficiency ◽

Parametric Approach ◽

Factors Influencing ◽

Non Parametric

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Organic and Conventional Grape Growing in Italy: a Technical Efficiency Comparison Using a Parametric Approach

Wine Economics and Policy ◽

10.36253/wep-10384 ◽

2021 ◽

Author(s):

Federica Cisilino ◽

Fabio A. Madau ◽

Roberto Furesi ◽

Pietro Pulina ◽

Brunella Arru

Keyword(s):

Technical Efficiency ◽

Stochastic Frontier Analysis ◽

Stochastic Frontier ◽

Focused Attention ◽

Parametric Approach ◽

Organic Farms ◽

Frontier Analysis ◽

Network Database ◽

Conventional Farms ◽

Efficiency Comparison

Several studies have focused attention on the differences between organic and conventional farms in terms of efficiency, and controversial findings have resulted from these applications. One source of controversy concerns the assumption about the frontier(s) adopted for the comparison: a common frontier or two separate frontiers for organic and conventional methods? This paper aims to estimate technical efficiency in Italian grape farming. A stochastic frontier analysis (SFA) was applied to a sample of 531 farms (440 conventional and 91 organic farms) collected from the Farm Accountancy Network Database. Among others, a test for evaluating whether a unique or separate frontier was performed. The findings suggest that organic and conventional farms would lie on a common frontier and that organic farms have greater capacity than conventional farms in using their own technical inputs (efficiency amounts to 83.6% and 77.8%, respectively). A number of implications derive from these findings.

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