集群农业是否提高了小农的盈利能力和生产力指数?来自尼日利亚博尔诺州的证据

Abdul Goni, Y. Oladimeji, J. Mani, Abdulazeez Shero Isah
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摘要

该研究对尼日利亚博尔诺州集群和非集群水稻种植的技术效率进行了比较分析。通过对尼日利亚博尔诺州的232名农民进行结构化问卷调查收集了主要数据,其中包括93名聚类稻农和139名非聚类稻农。数据分析技术包括描述性统计、毛利率、t检验和随机前沿生产函数(SFPF)。集群水稻种植企业每公顷的利润更高,其毛利率(GM)为196,020.62/公顷,因此每投资1奈拉可获得1.72奈拉的回报,而非集群农业的毛利率为99,619.32/公顷,因此每投资1奈拉可获得0.96奈拉的回报。SFPF显示,集群农业的平均技术效率(TE)为0.76,高于非集群农业的0.58。因此,与非集群水稻种植相比,集群水稻种植在技术上更有效。集群农业TE的决定因素包括种子(-0.49)、肥料(0.242)、农用化学品(0.341)和劳动力(0.747),而非集群农业TE的决定因素包括肥料(0.207)、农用化学品(-0.291)和劳动力(0.668)。低效率变量在集群农业中不显著,而在非集群农业中,家庭成员从事农业活动(0.811)、农业经验年数(-0.226)和信贷使用金额(0.5e-4)具有统计学意义。与面临缺水、不安全和洪水等制约因素的非集群农民相比,不安全、虫害和缺水是集群农民面临的主要生产制约因素。非集群农民应该采用生产集群农业,以提高他们的利润,提高他们的效率,并利用群体工作所带来的巨大服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DO CLUSTER FARMING PRACTICES IMPROVE PROFITABILITY AND PRODUCTIVITY INDICES OF SMALLHOLDER RICE FARMERS? EVIDENCE FROM BORNO STATE, NIGERIA
The study examined the comparative analysis of technical efficiency of cluster and non-cluster rice farming in Borno state, Nigeria. Primary data were collected through structured questionnaire administered to 232 farmers comprising of 93 clustering and 139 non-clustering rice farmers in Borno State, Nigeria. Data were subjected to analytical techniques that included descriptive statistics, gross margin, t-test and stochastic frontier production function (SFPF). Cluster rice farming enterprise per hectare was more profitable by producing a gross margin (GM) of 196,020.62/ha thus returning N1.72 on every N1.00 invested as compared to non-cluster farming which produced a GM of 99,619.32/ha and thus had a return of N0.96 on every N1.00 invested. The SFPF revealed an average technical efficiency (TE) of 0.76 for cluster farming was higher than 0.58 for non-cluster farmers. Hence, cluster rice farming was more technically efficient compared to non-cluster rice farming. The determining factors of TE in cluster farming include seed (-0.49), fertilizer (0.242), agro-chemicals (0.341) and labour (0.747) compared to non-cluster which included fertilizer (0.207), agro-chemicals (-0.291) and labour (0.668). Inefficiency variables were insignificant in cluster farming while household members active in farming (0.811), years of farming experience (-0.226), and amount of credit utilized (0.5e-4) were statistically significant in non-cluster farming. Insecurity, pest infestation and shortage of water were critical production constraints faced by cluster farmers compared to non-cluster farmers faced with constraints such as shortage of water, insecurity and flooding. Non-clustering farmers should adopt production cluster farming to boost their profit, increase their efficiency and take advantage of the enormous services attributed to working in groups.
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