科尼亚省(Çumra 县)玉米生产效率分析及影响效率因素的确定

Aysun YENER, Gürhan ÖZAYDIN
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引用次数: 0

摘要

本研究旨在确定玉米农场投入物使用效率,并分析影响技术效率的因素。玉米是世界上种植最多的谷物之一。另一方面,科尼亚以10%的玉米产量在土耳其排名第一。根据目的抽样法选取占科尼亚省玉米产量15.76%的Cumra地区作为研究区域。本研究采用分层抽样法,确定样本量为77,置信区间为95%,误差范围为5%。本研究采用线性回归分析确定影响玉米生产者技术效率的因素。研究结果表明,在5%的显著水平上,生产总值(USD)、土地总面积(ha)和年龄具有统计学显著性。可变成本和教育水平在10%显著水平上具有统计学意义。采用非参数DEA方法,在技术效率、VRS和CRS假设下,确定农场的技术效率和规模效率。应告知农场投入品的最佳使用。此外,应该组织一个农民培训项目,让农民了解这个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Konya İli (Çumra İlçesi) Mısır Üretiminde Etkinlik Analizi ve Etkinliğe Etki Eden Faktörlerin Belirlenmesi
The study aims to determine the efficiency of input use and to analyze the factors affecting technical efficiency in farms producing maize. Maize is among the most cultivated cereals in the world. Konya, on the other hand, ranks first in Turkey with a 10% share in maize production. The research area of Cumra district, which constitutes 15.76% of the maize production in Konya province, has been selected according to the purposive sampling method. In the study, the sample volume was determined as 77, with a 95% confidence interval and a 5% margin of error, according to the stratified sampling method. In the study, linear regression analysis was carried out to determine the factors affecting the technical efficiency of maize producers. According to the results of the research, gross production value (USD), total land size (ha), and age were found to be statistically significant at the 5% significance level. Variable costs and education were statistically significant at the 10% significance level. The DEA method, which is a non-parametric method, was used to determine the technical efficiency and scale efficiency of farms under the assumption of technical efficiency, VRS, and CRS. Farms should be informed about the optimum use of inputs. In addition, a farmer training program to be organized on this subject should be given to the farmers.
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