影响卢旺达加肯克地区农民采用咖啡有机种植的社会经济因素分析

Nkurunziza Alexis, Mburu David Mwehia, Mulyungi Patrick, Ntabakirabose Gaspard
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摘要

以小农为基础的农业是主要的生计来源,特别是在大多数人口居住的农村地区。咖啡是世界上最重要的经济作物之一,也是出口收入的主要来源。提高农民对有机农业的认识是提高咖啡生产质量和数量的最佳措施之一。本研究的总体目标是分析影响卢旺达Gakenke地区农民采用咖啡有机种植的社会经济因素。本研究采用横断面调查设计,采用多阶段抽样技术选择研究样本。因此,本研究的总样本量为182名受访者。使用频率和百分比等描述性统计来分析第一和第二个目标。而运用推理统计(logit回归)对目标三进行分析。该研究的总体目标是分析影响卢旺达加肯克地区农民采用咖啡有机种植的社会经济因素。在本次研究中,60.4%的受访者为男性。结果表明,农户对动植物废弃物资源化的认知度较高(100%)。最普遍和被广泛采用的做法是间作作物的轮作,如灌木豆、西红柿、菠萝和一般蔬菜。表4的logit回归分析结果显示,受教育程度、土地面积、种植经验和性别四个因素对采用有机咖啡种植有显著的正向影响。因此,建议应鼓励和支持青年进入这一部门,因为他们处于活跃年龄,比老年人更善于接受创新,而老年人更善于保护。通过农业推广服务和发展农民之间的信息网络,提供有机耕作方法方面的培训和技术咨询至关重要。
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Analysis of Socio-Economic Factors Influencing Farmers’ Adoption of Coffee Organic Farming in Gakenke District of Rwanda
Smallholder-based agriculture is the main source of livelihood, especially in the rural areas, where most of the population live. Coffee is one of the most important cash crops across the world and a major source of export earnings. The adoption on awareness of farmers about organic farming is one of the best preferable measures to improve both high quality and quantity of coffee production. The general objective of this study is to analyze socio-economic factors influencing farmers’ adoption of coffee organic farming in Gakenke district of Rwanda. This study employed a cross-sectional survey design and a multi-stage sampling technique was adopted to select sample for this study. Hence, the total sample size for this study was 182 respondents. Descriptive statistics such as frequency and percentage was used to analyze the first and second objectives. While inferential statistics (logit regression) was used to analyze objective three. The overall objective of the study to analyze socio-economic factors influencing farmers ‘adoption of coffee organic farming in Gakenke district of Rwanda. In this study, the majority 60.4% of the respondents were male. Result shows that farmers had high level of awareness in Recycle wastes of plant and animal (100%). The most commonly and highly adopted practices was crop rotation of intercropped crops such as bush beans, tomatoes, pineapple and vegetables in general. The result of logit regression analysis in Table 4 shows that four factors such as education level, land size, farming experience and gender had positive and significant influence on adoption of organic coffee farming. It was therefore recommended that youth should be encouraged and supported to enter this sector because they are in their active age and are more adopter of innovation than old people who are more conservators. Provision of training and technical advice on organic farming practices through agricultural extension services and developing information networks among farmers is vital.
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