Acta Geographica Sinica ›› 2010, Vol. 65 ›› Issue (2): 235-243.doi: 10.11821/xb201002010

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Geographical Factor Analysis for the Household Income in Frontier Region of Southwest China

LI Xing-xu1; LIU Man-li1; GE Jun-yi2   

  1. 1. Yunnan University of Finance and Economics; Kunming 650221; China; 
    2. College of Economics and Management; China Agricultural University; Beijing 100083; China
  • Received:2009-06-17 Revised:2009-11-20 Online:2010-02-25 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

Abstract:

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.

Key words: household income, two-level models, geographical factor, frontier region of Southwest China

CLC Number: 

  • F323.8