Geography and rural household income: A village level study in Henan Province, China

Resource type
Journal Article
Authors/contributors
Title
Geography and rural household income: A village level study in Henan Province, China
Abstract
This study uses the data from a sample survey conducted in April 2007 on 1 251 rural households in 11 villages of Henan Province, the largest less developed agricultural province in China, to examine how geography affects rural household income (RHI). The quantitative analysis indicates following results. 1) The significance of the traditional geographical factors reduces as RHI rank increases. 2) The landform does not affect the RHI significantly. The per capita income of rural household in a plain area is lower than that in a mountainous area. And 3) the capital endowment and status of non-farm economic activities contribute to the increase of RHI. But the probability and intensity of non-farm economic activities of rural households in urban outskirts villages are higher than that in non-urban outskirts villages. Based on the results, the paper further concludes that geography still plays a significant role in rural development, but it is changing over time. The agricultural resources (such as per capita arable land) significantly affect RHI with the relatively lower income level, while the geographical location shows a more significant impact on RHI with the relatively high income level. Along with economic development, the proximity replaces the traditional geographical factors such as landform and physical resources as the major determining factor in RHI.
Publication
Chinese Geographical Science
Volume
20
Issue
1
Pages
1-8
Date
2/2010
Journal Abbr
Chin. Geogr. Sci.
Language
en
ISSN
1002-0063, 1993-064X
Short Title
Geography and rural household income
Accessed
30/01/2020, 13:46
Library Catalogue
DOI.org (Crossref)
Extra
shortDOI: 10/dndbzt
Citation
Li, X., & Fan, X. (2010). Geography and rural household income: A village level study in Henan Province, China. Chinese Geographical Science, 20(1), 1–8. https://doi.org/10.1007/s11769-010-0001-8