STUDY ON DIVISION OF POOR PROVINCES IN CHINA BASED ON THE METHOD OF QUANTITY-FIG. HU Fang-xiao 1, WANG Yu-bao 2
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1 DOI: /j.issn : (2011) , (1., ;2., ) STUDY ON DIVISION OF POOR PROVINCES IN CHINA BASED ON THE METHOD OF QUANTITY-FIG HU Fang-xiao 1, WANG Yu-bao 2 (1.School of Public Policy and Administration, Xi' an Jiaotong University, Xi' an , China; 2.School of Finance and Economy, Xi' an Jiaotong University, Xi' an , China) Abstract: Poverty is not only a social problem, but also a severe economic problem and political problem. Poverty exists widely in the different countries and regions, especially in developing countries and backward area. Poverty is a result of the integrated effects of various factors. Dividing the poor area scientifically is helpful to strengthen the direction and the effectiveness of implementing the government poverty alleviation policy and anti-poverty strategy. Based on the overview of the division methods of the poor areas in the domestic and oversea, the Quantity-FIG is used to distinguish the poor and rich provinces. Comparing to the multivariate statistical analysis method, the weighted-factor method, and method of the single index such as the income per capital, the Quantity-FIG has a lot of advantages such as computing more easily, much more testability to the computing outcome, self-revised ability and objectives. So the Chinese poor provinces are determined by using the Quantity-FIG, and in the angle of dynamic analysis and the level of provincial administration. Firstly, the index system of evaluating the power which province is poor is built. We choose the 12 indexes which include the economy, society, culture, education, market system as the indexes of dividing the Chinese poor provinces. Then on the basis of the characteristics and variation of economic and social development in the poor provinces,the reasons of causing poverty in Chinese poor provinces is analyzed and determined. Finally some key measures to get rid of poverty in the poor provinces are put forward. In order to e- liminate the poor, the paper suggests that the poor provinces should: 1) change from the industrial structure of resource economy to high-tech industries and new industries; 2) improve the proportion that the center government gives the fiscal incomes to the subnational government; 3) continue to deepen reform of market system and open up; 4) build the good atmosphere of encouraging innovation and start-up and so on. Key words: Quantity-FIG; poor provinces; regional disparity :,, ;,,,, ;,,,, : ; ; : F061.5 : 2008KR73 07D011Z : A : 1969 : wybao@mail.xjtu.edu.cn : ; : HUMAN GEOGRAPHY Vol.26.No /10
2 [1] 1 2 [2] 2.1 GDP GDP j j [2] Σ x ij -x j 2 σ j = 1 姨 N x x N j x i σ j 4 x - σ j i 4 i j [3,4] 2003 [5] K=1- [6,7] =1- S+T+ S -T i i 2 K K<85% K>85% 1 S T S i [7] 2 T i 2.2 HUMAN GEOGRAPHY Vol.26.No /10 83
3 X 11 % GNP 7 X 12 5 [8] , GDP Tab.1 Index System of the Division of Chinese Poor Provinces K K 90% K 90% 85% X X 9 10 X % % H I J K!"#$ XÁ GDP L M % XÂ NO XÃ%!ABC D$%E F XÄ% XÅ% XÁÆ& ()* XÇ+,- XÈ.+&/0,-12 XÉ& /789: X& ;<=>?@ XÁDG% PF XÁÂQR: HUMAN GEOGRAPHY Vol.26.No /10
4 89% Tab.4 Choosing Availability of the Indexes and 2004 Reliability Test about the Layer of 2008 Economic and Social Development in China K %ÁX % 85% % * K GDP X 1 X 2 X 7 X X X % 64% X 7 50% 46.1% % 10 X S T SÁÂTÁK Tab.2 Parameters of Quantity-FIG Used in Chinese Main Economic and Social Indexes in XÁ XÂ XÃ XÄ XÅ XÆ XÇ XÈ XÉ XÁ XÁ XÁÂ * HUMAN GEOGRAPHY Vol.26.No /10 85
5 ( ) Tab.3 Sliding Spatial Diversity in Chinese Regional Economic and Social Development (Outcomes of the Division of Poor Provinces in China) " " " ! ! ! #$ %& #$ #$ ! %& ( )* , )* )* ! / %& ( , ( ! , / / [9] X % % % 5.73% GDP X GDP 6.6% GDP X 10 1/ GDP X GDP X HUMAN GEOGRAPHY Vol.26.No /10
6 XÁXÂXÃXÄXÅXÆXÇXÈXÉXÁXÁXÁÂ 5 Tab.5 Population Distribution of the Different Economic and Social Development Indexes of the Poor, the Middle-developed and the Developed Provinces (2008) Tab.6 Average Value of Main Indexes of the Poor, the Middle-developed and the Developed Provinces (2008) [1],I P,. [M].,,. :,1996:2. [2],,. [M]. :,1989: [3],. [J].,1994,20(6): [4],,. [J].,2004,(4): [5]. [J].,2003,23(2): [6],. [J]. 2 ( ),2007,22(4): [7]. [J]., 2006,26(1): [8],,,. [J].,2003,(3):9-18. [9], [M]. :,2007: HUMAN GEOGRAPHY Vol.26.No /10 87
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