解读斯里兰卡北部省份社会经济因素与减贫之间的关系

Selvananthan G., Amaratunge. S, Fernando P.J.S., Rathnayake R.M.A.K
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引用次数: 0

摘要

由于持续30年的灾难性内战导致的经济衰退以及不稳定的治理,以及流行病的爆发,使斯里兰卡难以实现无贫困的可持续发展目标[SDG No.01](世界卫生组织[WHO], 2015年)。贫穷会破坏一个国家的稳定,削弱其经济、政治和社会福祉。斯里兰卡存在的内战影响了饱受战争蹂躏地区的经济稳定和家庭的社会福利。本研究的目的是调查受内战影响的发展中经济体的贫困动态,并确定社会经济因素在何种程度上影响这种经济体的减贫。本研究采用自填问卷,收集北部省穆莱蒂乌区图努凯区秘书处处300户农户的数据。普通最小二乘模型和Probit模型的研究结果表明,长期种植作物的充足土地、充足的水资源、农业技术进步、农业活动中的性别均衡参与以及农业支出的大幅增加,在减轻家庭贫困方面发挥着至关重要的作用。为优化模型估计中所识别的预测因子的使用提供了理论建议,如恢复社区发展实践,改革和重建地方工业以改善经济开销,以及在社会脆弱地区参与社区活动以重建社会开销。关键词:贫困,农业,扶贫措施,土地管理,扶贫
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DECODING THE NEXUS BETWEEN SOCIOECONOMIC FACTORS AND POVERTY ALLEVIATION IN THE NORTHERN PROVINCE OF SRI LANKA
The economic downturn due to the catastrophic Civil War that lasted for 30 years followed by unstable governance, and the pandemic outbreak has made it difficult for Sri Lanka to achieve the sustainable development goal [SDG No.01] of No Poverty (World Health Organization [WHO], 2015). Poverty undermines the stability of a nation and weakens its economy, politics, and social well-being. The Civil War that existed in Sri Lanka has affected the economic stability and the social well-being of the households in war-torn regions. The objective of this study is to investigate the poverty dynamics in a developing economy that has been impacted by Civil War and to ascertain the extent to which socioeconomic factors influence poverty alleviation in such an economy. This study employed a self-administered questionnaire to collect data from 300 farming households located in the Thunukai Divisional Secretariat Division of Mullaitivu District in the Northern Province. The findings of Ordinary Least Square and the Probit Models demonstrate that the availability of sufficient land enriched with long-term crops, sufficient water availability, technological advancement in agriculture, balanced gender participation in agricultural activities, and a substantial increase in farming expenditure play a crucial role in alleviating poverty within the households. The theoretical recommendations were provided to optimize the use of the identified predictors in the model estimation such as the reinstatement of community development practices, reformation and redevelopment of the local industries that improve the economic overhead and the involvement of communal activities in the vulnerable areas of society to rebuild the social overhead. Keywords: Poverty, Agriculture, Poverty Measures, Land Management, Poverty Alleviation
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