Determinants of rural household poverty in Pakistan with multilevel approach

Saleem, Sehar; Aslam, Maria; Sherwani, Rehan Ahmad Khan; Jadoon, Atif Khan; Sarwar, Ambreen; Butt, Ijaz

doi:10.1080/23322039.2023.2202048

Cited by 2 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Menurut [3], kemiskinan merupakan suatu kondisi ketidakmampuan seseorang untuk menjaga dirinya sesuai dengan standar kehidupan yang layak serta ketidakmampuan untuk mengoptimalkan potensi fisik dan mentalnya dalam kegiatan produktif. Kemiskinan merupakan fenomena kompleks yang disebabkan oleh berbagai faktor, yaitu ekonomi, sosial, politik, budaya, dan geografis yang mana pada akhirnya bersama-sama memengaruhi kehidupan masyarakat menjadi miskin [16]. Pengukuran kemiskinan yang diterapkan oleh BPS mengacu pada konsep kemampuan seseorang dalam melengkapi kebutuhan dasar makanan dan bukan makanan dari segi pengeluaran.…”

Section: Kemiskinanunclassified

Modeling the Percentage of Poor Population in Java Island using Geographically Weighted Regression Approach

Ikhsanudin,

Pasaribu

2023

View full text Add to dashboard Cite

Poverty is a multidimensional problem faced by all countries in the world. Poverty is the inability of individual or group to meet their basic needs in terms of expenditure. In poverty problem, there is a tendency that the poor will group in locations with certain characteristics. This spatial clustering indicates spatial diversity that making global regression analysis inappropriate for application. Therefore, the purpose of this research is to model the percentage of poor population in 119 districts on Java Island in 2021 using the Geographically Weighted Regression (GWR) method. The analysis results state that the GWR model with Kernel Fixed Bisquare provides superior results compared to the global regression model and able to overcome spatial heterogeneity problem. The model is able to provide a fairly high coefficient of determination, which is 70,73 percent. The GWR model identifies ten groups of districts based on the significance of the independent variables, with the majority of them (61 districts) having a significant RLS variable. This indicates that education is an important aspect that needs to be considered by local governments to alleviate poverty.

show abstract

Section: Kemiskinanunclassified

Modeling the Percentage of Poor Population in Java Island using Geographically Weighted Regression Approach

Ikhsanudin,

Pasaribu

2023

View full text Add to dashboard Cite

show abstract

Does urban–rural integration reduce rural poverty?

Niu,

2024

Agribusiness

View full text Add to dashboard Cite

Rural poverty reduction is a challenge worldwide. Urban–rural integration is not only the result of urban and rural development but also the cause of poverty alleviation. Few studies, however, have used empirical methods to examine the social impact of urban–rural integration. Against the Chinese background, this study adopts an empirical method to analyze the impact of urban–rural integration on rural poverty reduction at the micro level. The study finds that urban–rural integration can reduce rural households' absolute poverty and relative income poverty. The main channel is the access of rural households to medical services. However, there is regional heterogeneity and household heterogeneity. Urban–rural integration cannot reduce rural household poverty for the western regions with backward economies. Household heads' age, health and job will impact the effect of urban–rural integration on reducing rural household poverty. Urban–rural integration and poverty alleviation development work should pay more attention to access to resources and services and adopt differentiated policies for different regions. [EconLit Citations: R1]

show abstract

Determinants of rural household poverty in Pakistan with multilevel approach

Cited by 2 publications

References 33 publications

Modeling the Percentage of Poor Population in Java Island using Geographically Weighted Regression Approach

Modeling the Percentage of Poor Population in Java Island using Geographically Weighted Regression Approach

Does urban–rural integration reduce rural poverty?

Contact Info

Product

Resources

About