A Study on the Relationship between the Poverty Level and the Financial Agglomeration in the Poverty County of Guizhou Province

DOI

10.2991/rac-18.2018.83How to use a DOI?

Keywords

precise poverty alleviation; poverty degree; financial agglomeration level; entropy method

Abstract

Poverty is one of the major obstacles to economic development and social stability. Finance plays an increasingly important role in the economic field of a country. Is there a relationship between the degree of poverty reduction and the level of financial development? Domestic and foreign scholars have not yet reached a consensus conclusion. Therefore, this paper uses the data of 2017 in seven key poverty-stricken counties in southwestern Guizhou Province, using principal component analysis, cluster analysis and entropy method, to empirically analyze the relationship between the poverty level and financial development level in poverty counties. The empirical results show that the degree of poverty is related to financial development, that is, the higher the level of financial agglomeration, the lower the degree of poverty; the lower the level of financial agglomeration, the higher the degree of poverty. Therefore, a correct understanding of the role of financial agglomeration in poverty alleviation will help promote Guizhou Province to reduce poverty through financial reforms and provide an important reference for the formulation of relevant policies.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongmei Zhang
AU  - Ning Zhang
PY  - 2018/10
DA  - 2018/10
TI  - A Study on the Relationship between the Poverty Level and the Financial Agglomeration in the Poverty County of Guizhou Province
BT  - Proceedings of the 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018)
PB  - Atlantis Press
SP  - 528
EP  - 533
SN  - 2352-5428
UR  - https://doi.org/10.2991/rac-18.2018.83
DO  - 10.2991/rac-18.2018.83
ID  - Zhang2018/10
ER  -