Urban–Rural Income Gap in China: Evolutionary Trend and Influencing Factors

Cun-gui Li ()
Additional contact information
Cun-gui Li: Henan University of Science and Technology

Chapter Chapter 50 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 487-497 from Springer

Abstract: Abstract This paper is concerned with the evolutionary trend of Chinese urban–rural residents’ income gap and find out its main influencing factors. Firstly, the current situation and historical evolutionary trend of urban–rural residents’ income gap in China were analyzed. The results demonstrated that since the reform and opening up in 1978, the Chinese urban–rural income gap shows the phase change characteristics: reduced—expanded—again reduced—again expanded—flattened. Then, by using the data from 1978 to 2010, multiple linear regression models were established to identify the correlation between urban–rural income gap and its influencing factors. The study proves that the urban–rural dual structure, employment structure and urbanization have positive correlation with urban–rural income gap, and there is a negative correlation between rural financial development level and urban–rural income gap.

Keywords: Evolutionary trend; Influencing factors; Multiple regression analysis; Urban–rural income gap (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_50

Ordering information: This item can be ordered from
http://www.springer.com/9783642383915

DOI: 10.1007/978-3-642-38391-5_50

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().