影响赞比亚小农户棉花生产效率的因素

S. Kabwe
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引用次数: 4

摘要

撒哈拉以南非洲的农业被认为是经济增长的引擎,有可能通过增加粮食安全和家庭收入来减少小农的农村贫困。然而,大多数撒哈拉以南非洲国家面临着农业生产力低下的问题,这削弱了减少农村贫困的潜力。这项研究的重点是赞比亚的小农棉花生产者。棉花种植在赞比亚的中部、东部和南部省份,是一种重要的经济作物,对经济的贡献超过6000万美元。它还支持超过15万户家庭。然而,赞比亚小农棉农的生产力很低,每公顷约800公斤或更少。而在西非,每公顷产量超过1000公斤。农业生产率被定义为对一定投入水平的产出价值的衡量。效率被定义为一个农场的实际生产力相对于最大潜在生产力。这表明效率与生产力有关,尽管它是最大或最小值的生产力。该研究使用了2008年农业和合作部、中央统计和粮食安全研究项目收集的补充调查数据。本研究利用数据包络分析(DEA)确定了赞比亚812个棉花生产者(人口估计为150,801)的技术、配置和经济效率指标。利用普通最小二乘(OLS)回归,研究确定了影响技术、配置和经济效率变化的因素。结果表明,我国棉花生产的平均技术效率、配置效率和经济效率指数分别为46%、37%和20%。这意味着赞比亚棉农可以通过分别提高54%和63%的技术和配置效率,在不改变产量的情况下减少投入物使用和生产成本。女性户主家庭、户主在学校度过的年数、留下的作物残渣、生产资产的价值和农场外收入是对技术、分配和经济效率产生积极影响的一些因素。该研究发现,棉农的效率相对较低,赞比亚的小农棉农的效率还有提高的空间。一些社会经济因素和农场特定因素对效率有积极影响。该研究建议,棉花利益相关者应制定让更多妇女参与棉花生产的战略,改善获得生产性资产的途径,并鼓励采用保护性农业作物残茬保留作为提高棉花生产效率的手段
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Affecting the Efficiency of Smallholder Cotton Producers in Zambia
Agriculture in Sub-Sahara Africa is considered as an engine of economic growth and has the potential to reduce rural poverty of smallholder farmers through increased food security and household income. However, most of Sub-Sahara Africa countries are faced with low agricultural productivity and this has undermined the potential to reduce rural poverty. The study focused on smallholder cotton producers in Zambia. Cotton is grown in Central, Eastern and Southern Provinces of Zambia and is an important cash crop which contributes over $60 million to the economy. It also supports over 150,000 households. However, productivity of smallholder cotton farmers in Zambia is low, around 800 kg per hectare or less. While in West Africa productivityis over 1000 kg perhectare. Agriculturalproductivity is defined as a measure of value of output for a given level of inputs. Efficiency is defined as the actual productivity of a farm relative to a maximal potential productivity.Thisshowsthatefficiencyisrelatedtoproductivity though it is productivity at maximum or minimum values. The study used the 2008 supplemental survey data collected by the Ministry of Agriculture and Cooperatives, Central Statistics and Food Security Research Project. Using Data Envelopment Analysis (DEA) this study determines the technical, allocative and economic efficiency indices of a sample of 812 (population estimates 150,801) cotton producers in Zambia. Using the Ordinary Least Squares (OLS) regression, the study determinesthe factors influencing technical,allocative and economic efficiency variations. Results show that the mean technical, allocative and economic efficiency indices in cotton production are 46%, 37% and 20% respectively. This means that Zambian cotton farmers could reduce input use and production cost without altering the output by improving technical and allocative efficiency by 54% and 63% respectively. Female headed households, number of years spent in school by the household head, leaving crop residues, value of productive assets and off farm income are some of the factors found to positively influence the technical, allocative and economic efficiency. The study found that cotton farmers are relatively inefficient and there is room to improve efficiency among smallholder cotton farmers in Zambia. Some socio-economic and farm specific factors have a positive influence on efficiency. The study recommends that cotton stakeholders should devise strategies of involving more women in cotton production, improve access to productive assets, and encourage adoption of conservation farming crop residue retention as the means to improve cotton production efficiency
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