农业转型对乌干达农村地区减贫的贡献。Kisoro区的一个案例

Georges Kwizera, R. Mwirumubi, S. Asiimwe
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引用次数: 0

摘要

目的:在乌干达,农村地区的贫困仍然是一个挑战,截至2016/2017财政年度,31%的农村人口处于贫困线以下(UBOS, 2018年),从2012/2013财政年度的22.8% (MoFPED, 2014年)上升。在基索罗县,贫困率很高,表现为家庭用电(7.6%)、自来水(33.7%)、文盲率高、粮食不安全、住房条件差(84.6%的家庭居住在半永久性住宅单元)。该研究旨在以基索罗县为例,审查农业转型如何有助于乌干达农村地区的减贫。研究目标是:确定耕作方式如何有助于Kisoro县农村减贫;探讨农产品加工业对Kisoro地区农村减贫的影响;了解农产品营销如何确保基索罗县农村减贫,并建立基索罗县农业转型政策与农村减贫之间的关系。方法:该研究在Kisoro地区进行,从400个样本中抽取391名参与者作为回答者,回复率为97.8%。答复者包括农民和工业家、商业企业家、地区技术人员、宗教、政治和舆论领袖。本研究采用了定量和定性两种方法,并采用了横断面调查设计。数据收集方法采用的方法是:调查、访谈、观察和审查一手和二手文件;使用的工具包括自填问卷、访谈指南、访谈时间表、观察计划、观察清单、照相机和录音机。研究结果:研究结果表明,农业实践可以显著确保Kisoro地区的农村减贫。研究结果表明,农业实践与农村减贫之间存在显著的正相关关系(r = 0.253, p< 0.05)。农产品加工业对Kisoro地区农村减贫有显著影响,且呈显著正相关(r = 0。351, p< 0.05),对减少贫困也有积极而显著的影响(β= 0.170, p = 0.001)。这一结果表明,在农产品加工方面的改进之后,减贫方面也有所改善。农产品营销对Kisoro地区农村减贫具有显著的保障作用(r= 0.246, p<0.05),但对减贫具有显著的负向影响(β = -0.018, p = 0.751)。研究发现,农业转型政策与农村减贫存在显著的正相关关系(r= 0.329, p<0.05),对减贫具有显著的正向影响(β = 0.141, p = 0.002)。总体而言,研究结果表明,农业转型对农村减贫贡献的贡献率为15%(调整后R方= 0.150)。这意味着,农业转型的单位改进对减少农村贫困的影响高达15%。减少。该研究的结论是,旨在减少农村贫困的战略需要包括农业加工和政府政策,因为它们在减少贫困方面具有最高的系数,还需要采用新的方法和技术来促进增长。对理论、实践和政策的独特贡献:研究建议;通过农业生态区划、农业自动化、人工智能、土壤和土地管理实践、灌溉、研发、精准农业、推广、高回报投入、基础设施建设、企业发展贷款、社区农业商店、乡村农业小组等创新实践进行农业转型,可持续地推动扶持性财政政策,以提高农业生产力、营销和收入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contribution of Agricultural Transformation on Poverty Reduction in Rural Areas of Uganda. A Case of Kisoro District
Purpose: In Uganda, poverty in rural areas had remained a challenge as depicted by 31 percent of rural population below poverty line as of financial year 2016/2017 (UBOS, 2018) having risen from 22.8 percent in financial year 2012/2013 (MoFPED, 2014). In Kisoro district, poverty was high as manifested by low household access to electricity (7.6%), piped water (33.7 %), high illiteracy levels, food insecurity, poor housing conditions where 84.6% of households lived in semi- permanent dwelling units (UBOS, 2017). The study was to examine how agricultural transformation could contribute to poverty reduction in rural areas of Uganda with a case of Kisoro district. The study objectives were:  to establish how farming practices could contribute rural poverty reduction in Kisoro district; to explore the effect of agro- processing on rural poverty reduction in Kisoro district; to find out how marketing of agricultural produce and products could ensure rural poverty reduction in Kisoro district and to establish the relationship between agricultural transformation policies and rural poverty reduction in Kisoro district. Methodology: The study was undertaken in Kisoro district where 391 participants were respondents from sample of 400 a representation of 97.8 % response rate. The respondents were constituted of agricultural farmers and industrialists, business entrepreneurs, district technical staff, religious, political and opinion leaders. Both quantitative and qualitative approaches were used in the study with a cross- sectional survey design applied. The methods used in data collection methods were: survey, interviews, observations and review of both primary and secondary documents; the tools used included self-administered questionnaires, interview guide, interview schedule, observation plan, observation checklist, a camera and a recorder. Findings: The study findings established that Farming practices could significantly ensure rural poverty reduction in Kisoro district.The findings established that there was a positive and significant relationship between farming practices and rural poverty reduction (r = 0.253, p< 0.05). Agro- processing had a significant effect on rural poverty reduction in Kisoro district with a positive and significant relationship (r = 0. 351, p< 0.05) with also a positive and significant influence on poverty reduction (β= 0.170, p = 0.001). This result demonstrated that improvements in agro- processing were followed by improvements in poverty reduction. Marketing of agricultural produce and products could significantly ensure rural poverty reduction in Kisoro district (r = 0.246, p< 0.05), though with a negative as well as insignificant influence on poverty reduction (β = -0.018, p = 0.751The findings established that there was a positive and significant relationship between agricultural transformation policies and rural poverty reduction (r= 0.329, p<0.05) with a positive and significant influence on poverty reduction (β = 0.141, p = 0.002).  On the whole, the findings established that agricultural transformation explained 15 % of the contribution on rural poverty reduction (adjusted R square = 0.150). This implied that a unit improvement towards agricultural transformation had an effect in reducing rural poverty by up to 15%. reduction. The study concluded that strategies that aimed at reducing rural poverty needed to embrace agro- processing and government policies since they had the highest coefficients in poverty reduction and also to adopt new approaches and technologies for enhanced growth. Unique Contribution to Theory, Practice and Policy: The study recommended that; agricultural transformation through innovative practices  like agro- ecological zoning, farm automation, artificial intelligence, soil and land management practices, irrigation, research and development, precision agriculture, diffusion, high- pay off inputs, infrastructural development, enterprise development loans, community agricultural stores, village agricultural teams, enabling fiscal policies could be sustainably promoted for enhanced agricultural productivity, marketing and incomes.
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