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Open AccessJournal Article

Estimation of technical efficiency and it's determinants in the hybrid maize production in district chiniot: a cobb- douglas model approach

Syed Asif Ali Naqvi, +1 more
- 01 Jan 2014 - 
- Vol. 51, Iss: 1, pp 181-185
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TLDR
It was concluded that the efficiency of hybrid maize farmers can be enhanced by covering the inefficiency from the environmental variables, farmers’ personal characteristics and farming conditions.
Abstract
High yielding crop like maize is very important for countries like Pakistan, which is third cereal crop after wheat and rice. Maize accounts for 4.8 percent of the total cropped area and 4.82 percent of the value of agricultural production. It is grown all over the country but major areas are Sahiwal, Okara and Faisalabad. Chiniot is one of the distinct agroecological domains of central Punjab for the maize cultivation, that’s why this district was selected for the study and the technical efficiency of hybrid maize farmers was estimated. The primary data of 120 farmers, 40 farmers from each of the three tehsils of Chiniot were collected in the year 2011.Causes of low yields for various farmers than the others, while using the same input bundle were estimated. The managerial factors causing the inefficiency of production were also measured. The average technical efficiency was estimated to be 91 percent, while it was found to be 94.8, 92.7 and 90.8 for large, medium and small farmers, respectively. Stochastic frontier production model was used to measure technical efficiency. Statistical software Frontier 4.1 was used to analyse the data to generate inferences because the estimates of efficiency were produced as a direct output from package. It was concluded that the efficiency can be enhanced by covering the inefficiency from the environmental variables, farmers’ personal characteristics and farming conditions.

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Citations
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Journal ArticleDOI

Maize production under risk: The simultaneous adoption of off-farm income diversification and agricultural credit to manage risk

TL;DR: In this paper, the authors investigate the factors affecting the concurrent adoption of off-farm income diversification and agricultural credit which the farmers use to manage the risk to maize production in Pakistan.
Journal ArticleDOI

Factors influencing hybrid maize farmers' risk attitudes and their perceptions in Punjab Province, Pakistan

TL;DR: In this article, a study was conducted in four hybrid maize growing districts of Punjab Province, Pakistan, using cross-sectional data of 400 hybrid maize farmers, which revealed that distance from farm to main market, off-farm income, location dummies for Sahiwal and Okara, age, maize farming experience, access to extension agent, significantly influenced farmers' risk attitudes and risk perceptions.
Dissertation

An anal ys(s of technical efficiency and profitability of growing potato, carrot, radish and bitter gourd: a case study of pakistani punjab

Khuda Bakhsh
TL;DR: In this paper, a study was designed to determine technical efficiency and profitability of growing vegetables in Punjab, where four vegetables namely potato, carrot, radish and bitter gourd were chosen.
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Technical Efficiency of Wet Season Melon Farming

TL;DR: In this article, the authors determined the factors that influence melon production in wet season and measured technical efficiency of melon farming and identified factors that influanced technical efficiency using Cobb-Douglas Stochastic Frontier.
Journal ArticleDOI

Analysis on Technical Efficiency of Hybrid Maize Production in District Mirpurkhas, Sindh

TL;DR: In this article, the authors analyzed the technical efficiency of hybrid maize production in Mirpurkhas district of Sindh province, asurvey was carried out during the year 2014-15.
References
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Technical efficiency in developing country agriculture: a meta‐analysis

TL;DR: In this article, a meta-analysis is performed to review empirical estimates of technical efficiency (TE) in developing country agriculture in order to contribute to a better understanding of the factors that influence estimates of mean TE.
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