scholarly journals Social Polarization and Socioeconomic Segregation in Shanghai, China: Evidence from 2000 and 2010 Censuses

2021 ◽  
pp. 171-189
Author(s):  
Zhuolin Pan ◽  
Ye Liu ◽  
Yang Xiao ◽  
Zhigang Li
Keyword(s):  
Census Data ◽  
Economic Restructuring ◽  
Population Census ◽  
Urban Migration ◽  
Dissimilarity Index ◽  
Chinese Cities ◽  
Rapid Economic Growth ◽  
Level Data ◽  
Neighbourhood Level ◽  
Socioeconomic Segregation

AbstractChina’s rapid economic growth since the early 1980s has been accompanied by a substantial increase in economic inequality. Economic restructuring, rural–urban migration, globalization and marketization have jointly led to a transformation of the socio-spatial structure of large Chinese cities. Although a handful of studies have examined the level and pattern of socioeconomic segregation in a particular Chinese city using neighbourhood-level census data from the year 2000, little research has been done to investigate in-depth changes in the level and pattern of segregation using more up to date and more geographically detailed data. This chapter aims to examine the levels, patterns and drivers of socioeconomic segregation in Shanghai, China, using neighbourhood-level and subdistrict-level data from the 2000 and 2010 decennial population census. This chapter uses the dissimilarity index to measure the overall level of socioeconomic segregation by occupation and household registration (hukou) status. Based on a location quotient and neighbourhood composition, it also illustrates the change in the spatial pattern of segregation. The chapter ends with a discussion on the possible drivers of segregation and policy suggestions to combat segregation in large Chinese cities.

Spatial analysis of child labour in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lokender Prashad ◽  
Mili Dutta ◽  
Bishnu Mohan Dash
Keyword(s):  
Spatial Analysis ◽  
Census Data ◽  
Hot Spot ◽  
Labour Force ◽  
Child Labour ◽  
District Level ◽  
School Level ◽  
Population Census ◽  
Content Type ◽  
Level Data

Purpose This study on spatial analysis of child labour in India is a macro level analysis on child labour using the census data, 2011 of Government of India. The population census which is conducted once in 10 years only provides district level data on work-force distribution. The study has spatial analysis of child labour in the age group of 5–14 years in India. To assess the magnitude of the children in the labour force, district level data of Census 2011 has been used in the study. The study has made an attempt to identify the districts where there is high level of children in the labour force. This paper aims to estimate the magnitude and trends of children’s workforce participation using the census data as it is the only data base, which is available at the district level since 1961 onwards. The study has made an attempt to identify the clustering of child labour across districts in India and how child labour is clustered by different background characteristics. Design/methodology/approach The study has used ArcGIS software package, GeoDa software and local indicator of spatial association test. Findings The findings of study reveal that the proportion of rural, total fertility rate (TFR) and poverty headcount ratio is positively associated, whereas female literacy and the pupil-teacher ratio are negatively associated with child labour. It suggests that in the hot-spot areas and areas where there is a high prevalence of child labour, there is need to increase the teacher's number at the school level to improve the teacher-pupil ratio and also suggested to promote the female education, promote family planning practices to reduce TFR in those areas for reducing the incidences of child labour. Research limitations/implications The study also recommends that the incidences of child labour can be controlled by a comprehensive holistic action plan with the active participation of social workers. Practical implications The promulgation of effective legislation, active involvement of judiciary and police, political will, effective poverty alleviation and income generation programmes, sensitisation of parents, corporates and media can play effective role in mitigating the incidences of child labour in India. To achieve the sustainable development goals (SDGs) adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025. Social implications The study aims to achieve the SDGs adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025. Originality/value The study is purely original and there are no such studies in Indian context by using the latest software.

Emerging divided cities in China: Socioeconomic segregation in Shanghai, 2000–2010

Urban Studies ◽  
2019 ◽  
Vol 57 (6) ◽  
pp. 1338-1356 ◽  
Author(s):  
Jie Shen ◽  
Yang Xiao
Keyword(s):  
Western Europe ◽  
Institutional Factors ◽  
High Status ◽  
Systematic Analysis ◽  
Chinese Cities ◽  
Suburban Areas ◽  
Level Data ◽  
Socioeconomic Segregation ◽  
First Time

Compared with North America and Western Europe, Chinese cities used to feature a low extent of socioeconomic segregation. However, systematic analysis of the changes in socioeconomic segregation after the end of the provision of welfare housing is needed. Using residential-committee-level data from the fifth and sixth censuses of Shanghai, for the first time, this article systematically charts changes in socioeconomic segregation in Chinese cities over the period 2000–2010. Along with the emergence of high-status neighbourhoods and migrant neighbourhoods, Shanghai has grown more divided based on individual socioeconomic status. The extent of socioeconomic segregation in Shanghai was comparable to that of large US and European cities. While patterns of sociospatial divisions are different across central and suburban areas, the level of educational segregation becomes greater than that of hukou segregation. The crucial role of housing commodification in driving these changes highlights the importance of contextual and institutional factors in understanding the dynamics of segregation.

scholarly journals A Micro-Level Data-Calibrated Agent-Based Model: The Synergy between Microsimulation and Agent-Based Modeling

2018 ◽  
Vol 24 (2) ◽  
pp. 128-148
Author(s):  
Karandeep Singh ◽  
Chang-Won Ahn ◽  
Euihyun Paik ◽  
Jang Won Bae ◽  
Chun-Hee Lee
Keyword(s):  
Population Dynamics ◽  
Census Data ◽  
Social Issues ◽  
Real Data ◽  
Agent Based Modeling ◽  
Population Census ◽  
Agent Based ◽  
Artificial Society ◽  
Level Data ◽  
The Future

Artificial life (ALife) examines systems related to natural life, its processes, and its evolution, using simulations with computer models, robotics, and biochemistry. In this article, we focus on the computer modeling, or “soft,” aspects of ALife and prepare a framework for scientists and modelers to be able to support such experiments. The framework is designed and built to be a parallel as well as distributed agent-based modeling environment, and does not require end users to have expertise in parallel or distributed computing. Furthermore, we use this framework to implement a hybrid model using microsimulation and agent-based modeling techniques to generate an artificial society. We leverage this artificial society to simulate and analyze population dynamics using Korean population census data. The agents in this model derive their decisional behaviors from real data (microsimulation feature) and interact among themselves (agent-based modeling feature) to proceed in the simulation. The behaviors, interactions, and social scenarios of the agents are varied to perform an analysis of population dynamics. We also estimate the future cost of pension policies based on the future population structure of the artificial society. The proposed framework and model demonstrates how ALife techniques can be used by researchers in relation to social issues and policies.

scholarly journals The Land of the ‘Fair Go’? Mapping Income Inequality and Socioeconomic Segregation Across Melbourne Neighbourhoods

2021 ◽  
pp. 229-246
Author(s):  
Michelle Sydes ◽  
Rebecca Wickes
Keyword(s):  
Income Inequality ◽  
Census Data ◽  
Local Level ◽  
Foreign Born ◽  
Ethnic Segregation ◽  
Dissimilarity Index ◽  
Middle Income ◽  
Noticeable Increase ◽  
Socioeconomic Segregation ◽  
Over Time

AbstractDespite enduring political rhetoric that promotes Australia as ‘the lucky country’ and ‘the land of the fair go’, recent decades have seen a noticeable increase in levels of income inequality. This growing economic divide has driven housing prices up and left lower-income families unable to access the housing market in inner-city locations. In contrast to other countries, Australia’s socioeconomic segregation does not overlap with ethnic segregation. Australia’s highly regulated immigration program has resulted in a relatively well-educated and employable foreign-born population who largely reside in middle-income neighbourhoods. These particularities make Australia an interesting context to explore patterns of socioeconomic segregation over time. In this chapter, we will utilise both traditional measures of segregation (such as the dissimilarity index) as well more spatialised measures (such as location quotients and Local Morans I) to assess socioeconomic segregation at the local level. Drawing on four waves of census data (2001, 2006, 2011 and 2016), we explore how socioeconomic segregation has changed over time across nearly 500 neighbourhoods in Melbourne. We further examine the degree to which socioeconomic segregation aligns with ethnic segregation patterns and levels in this city. We find patterns of socioeconomic segregation remain relatively unchanging over time in Melbourne. Additionally, our findings highlight important differences in patterns and levels of socioeconomic and ethnic segregation in the Australian context.

scholarly journals Isolated by Caste: Neighbourhood-Scale Residential Segregation in Indian Metros

2018 ◽  
Author(s):  
Naveen Bharathi ◽  
Deepak Malghan ◽  
Andaleeb Rahman
Keyword(s):  
Residential Segregation ◽  
Social Stratification ◽  
Census Data ◽  
Dissimilarity Index ◽  
Economic Class ◽  
Spatial Understanding ◽  
Level Data ◽  
Neighborhood Scale ◽  
Neighbourhood Scale ◽  
Indian Cities

We present the first ever neighbourhood-scale portrait of caste-based residential segregation in Indian cities. Residential segregation studies in Indian cities have relied on ward-level data. We demonstrate in this paper that wards cannot approximate an urban neighborhood, and that they are heterogeneous. For a typical ward, the neighbourhood-ward dissimilarity index is greater than the ward-city dissimilarity index. Using 2011 enumeration block (EB) level census data for five major cities in India – Bengaluru, Chennai, Delhi, Kolkata, and Mumbai – we show how patterns of caste-based urban residential segregation operate in contemporary India. We also present the first visual snapshot of caste-based residential segregation in an Indian city using georeferenced EB level data for Bengaluru. Besides implications for policy, our analysis also points to the need for publicly available, geospatially-linked neighborhood-scale census data that includes data on economic class for a spatial understanding of economic and social stratification within Indian cities. En

Generating population census data through aerial remote sensing

1994 ◽  
Vol 22 (3) ◽  
pp. 131-138 ◽  
Author(s):  
R. C. S. Taragi ◽  
K. S. Bisht ◽  
B. S. Sokhi
Keyword(s):  
Remote Sensing ◽  
Census Data ◽  
Population Census ◽  
Aerial Remote Sensing

PERANCANGAN APLIKASI SENSUS PENDUDUK PADA BADAN PUSAT STATISTIK KOTA MAKASSAR BERBASIS ANDROID

2021 ◽  
Vol 6 (1) ◽  
pp. 48
Author(s):  
Nurkhalik Wahdanial Asbara
Keyword(s):  
Data Collection ◽  
Census Data ◽  
Population Data ◽  
Accurate Information ◽  
Population Census ◽  
Male Population ◽  
Female Population ◽  
Technological Developments ◽  
The Government ◽  
Population Ratio

Technological developments and changes in government systems are developing rapidly. Both of these lead to efforts to carry out duties, protect functions and serve the community. This encourages the government to take various adjustment steps quickly in line with the dynamics of development that occur. One of them is through a population census. The population census is an important issue that must be handled properly. The population census in this study takes population data in an area based on the number of male population, female population, ratio, and population density. The data was taken and submitted to the Makassar City Statistics Agency. Population Census is a presentation of information that has the ability to present accurate information, and helps facilitate the search for a population census data. The population census is carried out every 5 years which is carried out by census officers to carry out data collection to each resident's house, the data collection process is carried out by conventional recording and submitting it to the central statistics agency for database entry. With this application, it is expected to provide convenience to Population census officers to perform the process of inputting population data and the data is directly stored in the database without having to return to the office to input again.

The State of Development in Villages of India: An Analysis of the 2011 Census Data

2018 ◽  
Vol 12 (3) ◽  
pp. 305-325 ◽  
Author(s):  
Aalok Ranjan Chaurasia
Keyword(s):  
Present Article ◽  
Small Proportion ◽  
Census Data ◽  
The State ◽  
Programming Approach ◽  
Population Census ◽  
Development Index ◽  
Village People ◽  
Development Approach ◽  
The Village

The present article uses data available through the 2011 population census to analyze the state of development in the villages of India on the basis of a village development index that has been constructed for the purpose following the capabilities expansion as development approach. The analysis reveals that the state of development in the villages of the country varies widely and there is only a small proportion of the villages where the state of development can be termed as satisfactory. The analysis also reveals that the state of development in the village is influenced by its selected defining characteristics. The article calls for a village-based planning and programming approach for meeting the development and welfare needs of the village people.

scholarly journals Demographic Losses Due To Alcohol-Related Mortality in Lithuania: Results Obtained Through Combining Death Records with the 2011 Population Census Data

2014 ◽  
Vol 53 (1) ◽  
pp. 15-23
Author(s):  
Daumantas Stumbrys ◽  
Domantas Jasilionis ◽  
Dalia Ambrozaitienė ◽  
Vlada Stankūnienė
Keyword(s):  
Marital Status ◽  
Mortality Risk ◽  
Census Data ◽  
Population Data ◽  
Mortality Data ◽  
Population Census ◽  
The Republic ◽  
The Individual ◽  
Education Groups ◽  
Related Mortality

This paper presents the results of a study on sociodemographic mortality differentials in Lithuania based on censuslinked mortality data. Population data come from the individual records of the 2011 Population and Housing Census of the Republic of Lithuania. The results of the research demonstrate that education and marital status are very strong predictors of alcohol-related mortality. Among males aged 30 and older, the alcohol-related mortality risk in non-married groups is up to 3.4 times as high as in the group of married males. The alcohol-related mortality risk in lower-education groups is up to 3.7 times as high as in the group of those with higher education. The findings of the study suggest that the elimination of educational differences would allow avoiding 55.7 %, the elimination of marital status differences – 40.2 %, the elimination of ethnic group differences – 11.1 % of alcohol-related deaths.

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