西南边疆民族地区农户收入的地理影响因素分析
收稿日期: 2009-06-17
修回日期: 2009-11-20
网络出版日期: 2010-02-25
基金资助
云南财经大学重点研究基金项目(YC09A001); 国家社会科学基金项目(08XTJ001)
Geographical Factor Analysis for the Household Income in Frontier Region of Southwest China
Received date: 2009-06-17
Revised date: 2009-11-20
Online published: 2010-02-25
Supported by
The Key Research Fund of Yunnan University of Finance and Economics, No.YC09A001; National Social Science Fund, No.08XTJ001
基于云南省红河哈尼族彝族自治州13个县(市)、273个村庄、2774户农户的微观数据集,设计了一个两水平农户收入函数模型,实证分析地理因素对农户收入影响,得出以下主要结论:①样本农户收入61.25%的总变异由农户居住村庄的外部环境导致的,农户的人均耕地面积、受过农业技术培训的人数和生产经营结构对农户收入的影响效应在农户之间存在差异,可以利用地理因素进行部分解释。②地理因素导致农户耕地、林木等资源禀赋差异,直接影响农户收入。平原村农户比山区村农户的人均纯收入高14.53%;5km以内村庄农户比5km以外村庄农户人均纯收入高30.63%。③在控制地理因素和劳动力负担系数后,农户的物质资本、生产经营结构和人力资本中的劳动力素质对农户收入具有显著的正向影响,而劳动力数量具有显著的负向影响。④地理因素影响了农户的农业基础设施条件、外出务工等,从而间接影响了农户人均耕地、受过农业技术培训劳动力人数和生产经营结构对收入的效应。并提出了增加农户收入的政策建议。
李兴绪; 刘曼莉; 葛珺沂 . 西南边疆民族地区农户收入的地理影响因素分析[J]. 地理学报, 2010 , 65(2) : 235 -243 . DOI: 10.11821/xb201002010
Based on the micro-data sets of 13 counties, 273 villages and 2774 households of Honghe Hani and Yi Autonomous Prefecture of Yunnan Province, this article designed a two-level household income function model to analyze empirically the impact of geographical factors on the household income. The main conclusions are drawn as follows. (1) 61.25% of the total variance of the household income in the sample is caused by the external environment of the farmer\'s living village. There exist obvious differences for the influence effects of household income among farmer\'s per capita arable land area, the number of families that received training in agricultural technology, and the production and management structure, which can be partially explained by geographical factors. (2) Geographical factors lead to endowment differences of farmer\'s cultivated land, forests and other resources, which directly influence household income. The farmer\'s per capita net income in plain villages is 14.53% more than that in mountain village; The farmer\'s per capita net income for the village within 5 km from city is 30.63% higher than that of village 5 km away from city. (3) After controlling the geographical factors and the labor factor, the physical capital, production and management structure, and the labor quality of human capital of farmers has a positive significant effect, while the amount of labor has a negative significant effect. (4) Geographical factors affect farmer\'s agricultural infrastructure conditions, migrant workers and so on, and thus indirectly affect the income effects of the per capita arable land of farmers, the number of families that received training in agricultural technology, and the production and management structure. Finally it is suggested that some policies should be formulated to increase household income.
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