Redirigiendo al acceso original de articulo en 16 segundos...
Inicio  /  Agriculture  /  Vol: 12 Par: 9 (2022)  /  Artículo
ARTÍCULO
TITULO

The Capability Approach to Adolescent Poverty in China: Application of a Latent Class Model

Jiachang Gao    
Zenghui Huo    
Mei Zhang and Baoqiang Liang    

Resumen

After 2020, poverty alleviation in China will shift from eliminating absolute poverty to alleviating unbalanced and insufficient relative poverty. Based on Amartya Sen?s capability approach, this article aimed to realize the freedom of ?capability? of children and ensure the well-being and development of Chinese adolescents, who are often ignored in child poverty research. The study sought to estimate the 10?15-year-olds in a multidimensional capabilities poverty group. Our analysis was based on the adolescent capability methodology framework, using data from the 2018 China Family Panel Studies (CFPS) to investigate the types and influencing factors of adolescent capability poverty in China. The result of latent class analysis showed that there are four types of capability poverty among the Chinese adolescents, namely, Extreme Capability Poverty Class, Goal Capability Poverty Class, Opportunity Capability Poverty Class, and Capability Non-Poverty Class. Multinomial logistic regression showed that the personal factors of gender, ethnic minority, hukou, and pocket money; the family factors of parents? marital status, parents? education level, and region of residence; and the family economic factor of per capita family income had a significant impact on the types of China?s adolescent capability poverty. The article provides empirical and quantitative evidence for the adolescent (ages 10?15) class of capability poverty. The findings provide a reference for policy makers to target poverty-alleviation efforts according to different types of poverty and to interrupt the intergenerational transmission of poverty.

 Artículos similares

       
 
Venkatesh Thirugnana Sambandham, Priyamvada Shankar and Sayan Mukhopadhaya    
Early warning systems help combat crop diseases and enable sustainable plant protection by optimizing the use of resources. The application of remote sensing to detect plant diseases like wheat stripe rust, commonly known as yellow rust, is based on the ... ver más
Revista: Agriculture

 
Simone Pascuzzi and Francesco Santoro    
The aim of this paper is the analysis of the almond harvesting system with a very high level of mechanization frequently used in Apulia for the almond harvesting and hulling process. Several tests were carried out to assess the technical aspects related ... ver más
Revista: Agriculture

 
Jan Dempewolf, Jyoteshwar Nagol, Sebastian Hein, Carsten Thiel and Reiner Zimmermann    
Tree height growth measurements at monthly and annual time scales are important for calibrating and validating forest growth models, forest management and studies of forest ecology and biophysical processes. Previous studies measured the terminal growth ... ver más
Revista: Forests

 
Azita Ahmad Zawawi,Masami Shiba,Noor Janatun Naim Jemali     Pág. e002
Aim of study: To present an approach for estimating tree heights, stand density and crown patches using LiDAR data in a subtropical broad-leaved forest.Area of study: The study was conducted within the Yambaru subtropical evergreen broad-leaved forest, O... ver más
Revista: Forest Systems