埃塞俄比亚农业生产力和农村家庭收入的决定因素

Tessema Urgessa
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引用次数: 37

摘要

本文旨在调查埃塞俄比亚农业生产力和农村家庭收入的决定因素。采用三种计量经济学模型,即:混合普通最小二乘(POLS)模型、固定效应(FE)模型和随机效应(RE)模型来检验生产率与收入的关系;使用埃塞俄比亚2011/12年和2013/14年的社会经济调查数据,这些数据由埃塞俄比亚CSA与世界银行合作收集。结果表明,土地劳动比、肥料使用量、农药使用量、粪肥使用量和家庭规模是影响农业劳动和土地生产力的最显著变量。然而,干旱对劳动和土地生产力的负面影响在统计上是显著的,且影响程度相同。研究发现,劳动生产率、非农收入和土地生产率是家庭收入的最决定因素。然而,抚养人数比对农村家庭收入有显著的负向影响。户主性别是农村家庭收入差异的主要社会经济因素。研究还得出结论:劳动生产率是提高生产要素和农户收入的最有力因素。本研究的政策启示是,提高土地劳动比对于提高农业生产率具有重要意义,提高农业劳动和非农收入最好以加快提高农村家庭收入为重点。关键词:劳动生产率;土地生产率;农户收入,农户面板数据,固定效应模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Determinants of Agricultural Productivity and Rural Household Income in Ethiopia
This paper aims at investigating the determinants of agricultural productivity and rural household income in Ethiopia. Three econometric models namely: Pooled ordinary least square (POLS), fixed effects (FE) and random effects (RE) model were used to examine the relationship between productivity and income; using Ethiopian socio-economic survey of 2011/12 and 2013/14 data, collected by CSA of Ethiopia in collaboration with the World Bank. Results showed that, Land-labor ratio, use of fertilizer, use of pesticide, manure and household size are found to be the most significant variables that affect agricultural labor and land productivity. However, drought has statistically significant and has negative effect on both labor and land productivity by the same magnitude. Labor productivity, non-farm income and land productivity are found to be the most determinants of household income. However, number of dependency ratio is significantly and negatively affects the rural household income. Sex of the household head is the main socio-economic factor for the variation of income among the rural households. The study also concludes that, Labor productivity is the most potent for factor of production and rural household income enhancement. The policy implication of the study is that, increasing land-labor ratio is important for agricultural productivity enhancement and promotion of both farm labor and non-farm income are best focusing to speed up for the enhancement of rural household income. Keywords: Labor productivity, Land productivity; Rural household income, Rural household panel data, Fixed effect model
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