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孟加拉国盐渍区和非盐渍区旱稻生产技术效率分析。

Analysis of technical efficiency of dry season rice production in saline and non-saline areas of Bangladesh.

机构信息

Central Queensland University, School of Business and Law, Melbourne, VIC, 3000, Australia; Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.

Central Queensland University, School of Business and Law, Rockhampton, QLD, 4702, Australia.

出版信息

J Environ Manage. 2022 Aug 15;316:115256. doi: 10.1016/j.jenvman.2022.115256. Epub 2022 May 11.

DOI:10.1016/j.jenvman.2022.115256
PMID:35568015
Abstract

Maintaining productivity and technical efficiency of salinity affected rice farming is essential for food security in Bangladesh, given trends of increasing rates of salinity incursion. Using Bangladesh Integrated Household Survey (BIHS) data, collected by International Food Policy Research Institute (IFPRI), and a translog stochastic production estimation approach, we estimated the differences in technical efficiency between saline and non-saline Boro rice producers. The findings indicate that, although mean efficiency of Boro rice producers in non-saline areas (83%) is higher than that of saline areas (73%), the pooled model suggests that saline farmers are more technically efficient compared with non-saline farmers. Despite this, the per hectare output (productivity) of Boro rice is significantly lower in saline areas (5479.3 kg) compared with non-saline areas (5880.5 kg). Moreover, saline area farmers use more irrigation and family labour to maintain Boro rice output, but more irrigation decreases marginal productivity because of salinity effects. Results also show that there are socio-economic differences between farmers in saline and non-saline areas. The implications of this study are that increased levels of salinity will reduce rice production, as variations in farming systems and technical efficiency are not sufficient to compensate for lost productivity.

摘要

维持受盐度影响的水稻种植的生产力和技术效率对于孟加拉国的粮食安全至关重要,因为盐度入侵的速度呈上升趋势。本研究利用国际粮食政策研究所(IFPRI)收集的孟加拉国综合家庭调查(BIHS)数据和转移对数随机生产估计方法,估计了盐渍和非盐渍粳稻生产者之间的技术效率差异。研究结果表明,尽管非盐渍地区粳稻生产者的平均效率(83%)高于盐渍地区(73%),但总体模型表明,盐渍农民比非盐渍农民更具有技术效率。尽管如此,盐渍地区的粳稻每公顷产量(生产力)(5479.3 公斤)明显低于非盐渍地区(5880.5 公斤)。此外,盐渍地区的农民为了维持粳稻的产量,使用更多的灌溉和家庭劳动力,但由于盐度的影响,更多的灌溉会降低边际生产力。研究结果还表明,盐渍区和非盐渍区的农民在社会经济方面存在差异。本研究的意义在于,盐度的增加将降低水稻产量,因为农业系统和技术效率的变化不足以弥补生产力的损失。

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