Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Multidimensional Poverty in Rural China
by
Liu, Ji
, Cai, Zhongliang
, Li, Bozhao
, Liu, Xiaojian
, Huang, Xinran
, Li, Guie
, Su, Shiliang
in
21st century
/ Air quality
/ Censuses
/ Civilization
/ Cluster analysis
/ Counties
/ Developing countries
/ Economic development
/ Environmental assessment
/ Heterogeneity
/ Human Geography
/ Identification
/ Inequality
/ LDCs
/ Low income groups
/ Measurement
/ Microeconomics
/ Mountain regions
/ Multivariate Analysis
/ Plateaus
/ Poverty
/ Principal components analysis
/ Public Health
/ Quality of Life Research
/ Regions
/ Rural areas
/ Rural communities
/ Rural poverty
/ Social research
/ Social Sciences
/ Sociology
/ Spatial analysis
/ Sustainable livelihood
2019
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Multidimensional Poverty in Rural China
by
Liu, Ji
, Cai, Zhongliang
, Li, Bozhao
, Liu, Xiaojian
, Huang, Xinran
, Li, Guie
, Su, Shiliang
in
21st century
/ Air quality
/ Censuses
/ Civilization
/ Cluster analysis
/ Counties
/ Developing countries
/ Economic development
/ Environmental assessment
/ Heterogeneity
/ Human Geography
/ Identification
/ Inequality
/ LDCs
/ Low income groups
/ Measurement
/ Microeconomics
/ Mountain regions
/ Multivariate Analysis
/ Plateaus
/ Poverty
/ Principal components analysis
/ Public Health
/ Quality of Life Research
/ Regions
/ Rural areas
/ Rural communities
/ Rural poverty
/ Social research
/ Social Sciences
/ Sociology
/ Spatial analysis
/ Sustainable livelihood
2019
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Multidimensional Poverty in Rural China
by
Liu, Ji
, Cai, Zhongliang
, Li, Bozhao
, Liu, Xiaojian
, Huang, Xinran
, Li, Guie
, Su, Shiliang
in
21st century
/ Air quality
/ Censuses
/ Civilization
/ Cluster analysis
/ Counties
/ Developing countries
/ Economic development
/ Environmental assessment
/ Heterogeneity
/ Human Geography
/ Identification
/ Inequality
/ LDCs
/ Low income groups
/ Measurement
/ Microeconomics
/ Mountain regions
/ Multivariate Analysis
/ Plateaus
/ Poverty
/ Principal components analysis
/ Public Health
/ Quality of Life Research
/ Regions
/ Rural areas
/ Rural communities
/ Rural poverty
/ Social research
/ Social Sciences
/ Sociology
/ Spatial analysis
/ Sustainable livelihood
2019
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Multidimensional Poverty in Rural China
2019
Request Book From Autostore
and Choose the Collection Method
Overview
Poverty remains one of the most serious chronic dilemmas facing civilization and economic development in the 21st century. How to accurately measure, identify and alleviate poverty have been urgent topics on different geographical scales for decades. Based on census data at the county level from 2000 to 2010 in China, principal component analysis was used to establish an integrated multidimensional poverty index (IMPI) for geographical identification of poverty-stricken counties using an indicators system guided by a sustainable livelihoods framework. Further cluster analysis, spatial analysis and a self-organizing map show obvious spatiotemporal heterogeneity of multidimensional poverty across the 2311 counties in China. The results demonstrate that the counties with higher IMPI are concentrated and conjointly distributed in southwest China, north of central China and southeast of northwest China in mountainous regions and plateaus. Longitudinal comparisons demonstrate that the degree of multidimensional poverty has relatively decreased across China from 2000 to 2010, but regional disparities continue to expand and new aspects are emerging. In addition, compared with 2000, the number of counties with multidimensional poverty in 2010 increased in northeast China and decreased in central China. Many counties have experienced generally increased levels in certain domains of poverty. The relative contribution of each indicator to the IMPI also provides important references for formulating and implementing poverty policy. Quantile regression was utilized to explore the application of the IMPI in assessing environmental inequality. The result indicates that many poverty-stricken and developed counties are exposed to poor air quality. The accurate identification of geographical and spatiotemporal patterns of poverty in China can lead to the implementation of anti-poverty strategies. This paper also offers new insights into poverty measurement for other developing countries.
This website uses cookies to ensure you get the best experience on our website.