尼日利亚阿南布拉州奥尼沙农业区姜黄营销的市场结构和净决定因素

C. A. Isibor, Chineze Darlington
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摘要

本研究旨在分析尼日利亚阿南布拉州奥尼沙农业区姜黄营销的市场结构和决定因素。研究旨在了解姜黄营销的社会经济特征、市场结构、影响营销净收入的因素和制约因素。样本由 160 个中间商组成,包括 80 个批发商和 80 个零售商,采用多阶段随机抽样法选出。收集到的数据采用描述性统计、基尼系数、多元回归和相对指数技术进行分析。研究结果显示,姜黄市场中男性占主导地位,尤其是在批发商中,60.00%的营销人员为男性。这表明在市场的各个层面都存在性别敏感性。市场结构分析显示,批发商和零售商的基尼系数分别为 0.6866 和 0.7495。这些系数表明,在销售利润方面,收入不平等程度很高,而且销售集中在一小部分营销人员手中,表明市场存在不完全竞争。在纳入分析的 11 个自变量中,年龄、教育程度、资金来源和从事其他商业活动对批发商的营销净收入有显著影响。在零售层面,家庭规模、性别、参与其他商业活动、营销经验和产品价格被确定为影响营销净收入的因素。制约因素分析表明,在线营销、运输成本、税收和地方政府收费是批发商面临的主要制约因素。在零售层面,制约因素是在线营销、不定期市场日和启动资金不足。根据这些调查结果,建议政府和相关机构减少对营销人员征收的税费,以减轻他们的负担。此外,解决道路状况差的问题对于该地区的正常营销也是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Market structure and net determinants of turmeric marketing in Onitsha agricultural zone, Anambra state, Nigeria
A study was conducted to analyze the market structure and determinants of turmeric marketing in the Onitsha agricultural zone of Anambra State, Nigeria. The research aimed to understand the socioeconomic characteristics, market structure, factors influencing net marketing income, and constraints in turmeric marketing. The sample consisted of 160 intermediaries, including 80 wholesalers and 80 retailers, selected using multistage and random sampling methods. The collected data were analyzed using descriptive statistics, Gini coefficient, multiple regression, and relative index techniques. The findings revealed a male dominance in the turmeric market, particularly among wholesalers, where 60.00% of marketers were men. This indicates gender sensitivity within the market at various levels. The market structure analysis showed Gini coefficients of 0.6866 and 0.7495 for wholesalers and retailers, respectively. These coefficients suggest a high level of income inequality in terms of sales margin and a concentration of sales among a small group of marketers, indicating the presence of imperfect competition in the market. Among the eleven independent variables included in the analysis, age, education, source of finance, and engagement in other business activities significantly influenced the net marketing income of wholesalers. At the retail level, household size, gender, engagement in other business activities, marketing experience, and product price were identified as factors influencing net marketing income. The constraints analysis revealed that online marketing, transportation costs, taxes, and local government charges were perceived as the main constraints at the wholesale level. On the retail level, the constraints were online marketing, irregular market days, and insufficient start-up capital. Based on these findings, it is recommended that the government and relevant agencies reduce taxes and charges imposed on marketers to alleviate their burden. Additionally, addressing the poor condition of roads is necessary for proper marketing in the region.
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