scholarly journals Change in China’s SRB: A Dynamic Spatial Panel Approach

2020 ◽  
Vol 17 (21) ◽  
pp. 8018
Author(s):  
Tingshuai Ge ◽  
Li Mei ◽  
Xiujun Tai ◽  
Quanbao Jiang
Keyword(s):  
Sample Survey ◽  
Direct Effects ◽  
Population Mobility ◽  
Capita Gross Domestic Product ◽  
Educational Improvement ◽  
Factors Affecting ◽  
Spatial Panel ◽  
Spatially Correlated ◽  
Sample Survey Data ◽  
Dynamic Spatial Durbin Model

There has been some research on factors affecting China’s rising sex ratio at birth (SRB), but the spatial dependence has been largely neglected. With China’s census and sample survey data and the dynamic spatial Durbin model; we analyzed the changes in SRB in China. We found that SRB and its influencing factors were spatially correlated at the provincial level. For direct effects; urbanization significantly reduced SRB in this region; while strict family planning policies increased SRB in the local region. For indirect effects; the increase in per capita Gross Domestic Product and urbanization led to an increase in the SRB of the neighboring regions through population mobility. By comparison; educational improvement in one region benefited the neighboring provinces and reduced SRB.

scholarly journals Ho Chi Minh City University of technology and education students' satisfaction with e-wallet service

2021 ◽  
Vol 6 ◽  
Author(s):  
Nguyen Thi Nhu Thuy ◽  
Tran Tuan Kiet ◽  
Pham Hung Cuong ◽  
Vo Dinh Quy ◽  
Nguyen Chi Trung
Keyword(s):  
Sample Survey ◽  
Ho Chi Minh City ◽  
Education Students ◽  
Factors Affecting ◽  
University Of Technology ◽  
Frequency Of Use ◽  
Degree Of Satisfaction ◽  
Sample Survey Data ◽  
Technology And Education ◽  
High Degree

Based on the sample survey data of 289 students of Ho Chi Minh City University of Technology and Education (HCMUTE) from February to May 2021, the paper has focused on analyzing the factors affecting the satisfaction of HCMUTE students with e-wallet services. The results show that students of Ho Chi Minh City University of Technology and Education  have been using e-wallet services widely, with a high degree of satisfaction. The study also reveals that, a variety of factors influence the satisfaction of HCMUTE students such as convenience (Std. Error 0.050, Sig. =0.000); safety and security (Std. Error =0.055, Sig. =0.000); reliability (Std. Error 0,057, Sig. =0.000); policy to approach customers/employees (Std. Error 0.040, Sig. =0.000; frequency of use (Std. Error 0.043, Sig. =0.000).

INFLUENCE OF WEATHER ON TEMPORARY AND PERMANENT MIGRATION IN RURAL INDIA

2013 ◽  
Vol 04 (02) ◽  
pp. 1350007 ◽  
Author(s):  
K. S. KAVI KUMAR ◽  
BRINDA VISWANATHAN
Keyword(s):  
National Sample ◽  
Sample Survey ◽  
Urban Migration ◽  
Temporary Migration ◽  
Urban Migrants ◽  
Wide Range ◽  
Permanent Migration ◽  
Sample Survey Data ◽  
Almost All ◽  
Temporary Migrants

While a wide range of factors influence rural–rural and rural–urban migration in developing countries, there is significant interest in analyzing the role of agricultural distress and growing inter-regional differences in fueling such movement. This strand of research acquires importance in the context of climate change adaptation. In the Indian context, this analysis gets further complicated due to the significant presence of temporary migration. This paper analyzes how weather and its variability affects both temporary and permanent migration in India using National Sample Survey data for the year 2007–2008. The paper finds that almost all of the rural–urban migrants are permanent. Only temperature plays a role in permanent migration. In contrast, many temporary migrants are rural–rural and both temperature and rainfall explain temporary migration.

The Cost of Being ‘Backward’ in India: Socio-religious Discrimination in the Labour Market

2021 ◽  
pp. 097370302110296
Author(s):  
Soumyajit Chakraborty ◽  
Alok K. Bohara
Keyword(s):  
Labour Market ◽  
Economic Cost ◽  
National Sample ◽  
Sample Survey ◽  
Religious Discrimination ◽  
Capital Endowment ◽  
Scheduled Castes ◽  
Sample Survey Data ◽  
The Cost ◽  
Human Capital Endowment

Being from backward castes, classes and Muslims in India has an economic cost associated with the nature of institutional discrimination. Using the 2011–2012 National Sample Survey data, this study identifies that caste and religion still rule the modern Indian labour market. We find that discrimination is evident in the socio-religious earnings gaps. While the parametric decompositions suggest that most of these gaps are due to differential human capital endowment, the nonparametric method almost evenly attributes inequality to discrimination and endowment. The results presented in this study suggest that discrimination against Scheduled Castes and Scheduled Tribes, Muslims and Other Backward Classes should be included in policy designs to promote equity in the Indian labour market.

Restricted quasi-score estimating functions for sample survey data

2004 ◽  
Vol 41 (A) ◽  
pp. 119-130
Author(s):  
Y.-X. Lin ◽  
D. Steel ◽  
R. L Chambers
Keyword(s):  
Maximum Likelihood ◽  
Survey Data ◽  
Sample Survey ◽  
Likelihood Method ◽  
Sample Surveys ◽  
Estimating Functions ◽  
Limit Theory ◽  
Normal Probability ◽  
Probability Structure ◽  
Sample Survey Data

This paper applies the theory of the quasi-likelihood method to model-based inference for sample surveys. Currently, much of the theory related to sample surveys is based on the theory of maximum likelihood. The maximum likelihood approach is available only when the full probability structure of the survey data is known. However, this knowledge is rarely available in practice. Based on central limit theory, statisticians are often willing to accept the assumption that data have, say, a normal probability structure. However, such an assumption may not be reasonable in many situations in which sample surveys are used. We establish a framework for sample surveys which is less dependent on the exact underlying probability structure using the quasi-likelihood method.

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