Determinants of Technical Efficiency of Wheat Farming in Southeastern Anatolia, Turkey: A Nonparametric Technical Efficiency Analysis

Alemdar, Tuna; Ören, Mustafa

doi:10.3923/jas.2006.827.830

Cited by 24 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Realisation of the Luxembourg CAP reform assumptions has been extended to the subsequent years (European Commission 2021). However, the literature on the subject presents the opinion that the competitive position of EU agricultural producers (especially the bigger one) is, first of all, a consequence of the implemented Another category of papers refers to the assessment of wheat production efficiency depending on the incurred inputs on a national scale (Alemdar and Oren 2006;Wang et al 2017;Hussain et al 2012;Tozer 2010). Some articles also discuss the assessment of the wheat production efficiency depending on energy consumption (Moradi et al 2018) or greenhouse gas emissions (Syp et al 2015).…”

Section: Resultsmentioning

confidence: 99%

Efficiency of European Union wheat producers on world market and analysis of its determinants based on the data envelopment analysis method

Boczar¹,

Błażejczyk-Majka²

2022

AGR ECON-CZECH

View full text Add to dashboard Cite

The war in Ukraine has shown that the worldwide food security can be easily shaken. This article focuses on an evaluation of European Union (EU) wheat producers on the world market. Would EU producers maintain their competitive position without direct payments? What changes need to be introduced to improve the position of EU producers on the world market? To answer these questions, a data envelopment analysis has been applied. It is indicated that the competitive position of EU wheat producers is still strongly dependent on direct payments and that mechanisation costs are a key area for improved efficiency in wheat production in Europe.

show abstract

Section: Resultsmentioning

confidence: 99%

Efficiency of European Union wheat producers on world market and analysis of its determinants based on the data envelopment analysis method

Boczar¹,

Błażejczyk-Majka²

2022

AGR ECON-CZECH

View full text Add to dashboard Cite

show abstract

“…The DEA, is an analytical technique based on a linear programming approach fundamental in evaluating the efficiency of decision-making units in terms of converting inputs into outputs and it does not impose a priori constraints and functional forms of production function (Badunenko and Mozharovskyi, 2016). According to these two latter authors, DEA also allows to estimate the technical efficiency using multiple output technologies considering both multi-inputs and multi-output measuring the effectiveness of inputs used in a well-defined productive process (Fraser and Cordina, 1999;Dhungana et al, 2004;Alemdar and Necat Oren, 2006;Chebil et al, 2015;Igwe et al, 2017). Furthermore, according to Coelli et al (2005), the DEA does not need to define preliminarily the relationship between input and output in order to estimate a frontier of production (Galluzzo, 2021).…”

Section: Methodsmentioning

confidence: 99%

Technical efficiency and assessment of input excess in all European farms by a non-parametric methodology and the conditional inference tree

Galluzzo

2023

BJAEM

View full text Add to dashboard Cite

The technical efficiency is a fundamental tool in order to evaluate the performances of farms. The main purpose of this study was to investigate the technical efficiency in all European farms part of the FADN dataset using a non-parametric approach such as the DEA. The estimation of the technical efficiency has pointed out a dichotomy between new and older member states of the European Union. The further stage of this research has been addressed in evaluating the excess of input able to impact to technical inefficiency patterns using a new approach such as the Multi-directional Efficiency Analysis. The Multi-directional Efficiency Analysis is a novelty in the literature because it estimates the percentage of excess in input involved in the inefficiency overcoming the main bottleneck in the estimation on efficiency using the DEA. By the estimation of the technical efficiency, it has been possible also to assess the impact of financial subsides allocated by the CAP. Results have corroborated as CAP subsidies have reduced the technical efficiency in farms. In the third stage of this research, it has been possible to assess by the machine learning using the conditional inference tree the excess of input and how the excess impacts on the technical efficiency with an accuracy of more 90%. The conditional inference tree is also a novelty in the literature about the technical efficiency estimation in farms combining the estimation of the technical efficiency with the patterns and reasons of inefficiency.

show abstract

“…All contributions and discussions are expressed in writing, making it a privilege for those who can read and write. In rural setting, as researches have shown, the level of education of a farmer does not contribute positively to agricultural productivity (Alemdar and Oren, 2006). The educated farmer considers farming as a second job and does not pay much attention to their farms leading to lower productivity.…”

Section: The Ordermentioning

confidence: 97%

Prioritizing needs assessment techniques for agricultural programs implementation: The case of Northern Region, Ghana

Abukar

Ã–Ztornaci

Budak

2016

J. Agric. Ext. Rural Dev

View full text Add to dashboard Cite

The Northern region is among the poorest in Ghana. The Southern regions possess a lot of natural resources, and at the same time viable for the production of cash crops. The Northern regions however, have agriculture as their most dependable source of livelihood. The proportion of people working as farmers in the region is 73%, making it the highest in the country. In the light of this, most developmental programs in the region are agriculture based. However, the impact of these programs is not being felt as farmers continue to experience lower harvest and productivity. We however blamed the situation on the absence or inappropriate Needs Assessment. We tried to establish from the farmers the programs they found successful. It was established that, an insignificant number of programs were adjudged successful. Reasons why they considered projects successful or otherwise were also investigated. Combining the results from the data and the practical application of the techniques in the study area, we prioritized these techniques. It was realized that individual group techniques were complements to group techniques in the context of the study area. A case is made for the prioritized techniques as well as further discussion on the highly prioritized ones.

show abstract

Determinants of Technical Efficiency of Wheat Farming in Southeastern Anatolia, Turkey: A Nonparametric Technical Efficiency Analysis

Cited by 24 publications

References 4 publications

Efficiency of European Union wheat producers on world market and analysis of its determinants based on the data envelopment analysis method

Efficiency of European Union wheat producers on world market and analysis of its determinants based on the data envelopment analysis method

Technical efficiency and assessment of input excess in all European farms by a non-parametric methodology and the conditional inference tree

Prioritizing needs assessment techniques for agricultural programs implementation: The case of Northern Region, Ghana

Contact Info

Product

Resources

About