A Regional Analysis on Chinese Urban-Rurual Residents’ Income Disparity - Based on DEA and Multi-Regression Methods

Author:

Niu Fei Liang1

Affiliation:

1. Yunnan University

Abstract

Regional income disparity is a hot contention in developed countries.Income level of Chinese rural residents has been increasing since the mid of 1990’,although income disparity is increasing also.As to find the ruels behind it,we select 27 provinces units as sample and give urban residents income(Y1),rural residents income(Y2) as output variables,while average GDP(P),average education input(E) and average fixed assetes(K) as input variables.Under the presume,we select the output variables inclination and alterate scale revenue,by which to carry on analysis of input-output efficiency with DEA and give the order according to each province’s efficiency.At the same time,we could get two multi-regression model of Chinese urban and rural residents’ disposal income seperately,with which we will find the difference by comparating them.Finally,under the analysis with DEA and multi-regression methods,can we find the disparity between different provinces is the main factor to the total disparity,while each province’s disparity his its own speciality.Harmonious development between different regions could be the preferable orientation of China.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference10 articles.

1. Justin yifu Lin, CAI, zhou li. China's economic transition period of the regional gap analysis [J]. Journal of economic research, 1998 (6).

2. zhao wei, li shi. The expansion of Chinese residents' income gap and its reason [J]. Journal of economic research, 1997 (9).

3. li shi, zhao wei. The distribution of income in China [J]. Journal of economic research, 1999 (04).

4. li shi, zhao wei, zhang ping. China's economic transformation and the changes of income distribution [J]. Journal of economic research, 1998 (04).

5. wen-jiang wu. The data envelopment analysis (dea) and its application [M]. Beijing: China statistics press, (2002).

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