Mobility in India: Recent Trends and Issues Concerning Database

Social Change ◽  
2018 ◽  
Vol 48 (4) ◽  
pp. 634-644
Author(s):  
Amitabh Kundu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Population Distribution ◽  
National Sample ◽  
Sample Survey ◽  
Age Cohorts ◽  
Passenger Traffic ◽  
Social Divisions ◽  
The People ◽  
Recent Trends

Dismissing the postulate that the geographical, linguistic and other social divisions are constraining the movement of Indians across states, researchers have presented evidences—pattern of rail passenger traffic, changes in population distribution across different age cohorts and so on to show that the movement of people across states is much larger than what has been generally determined, using the data from the census and National Sample Survey. The basic objective of the paper is to examine if the process of migration and urbanisation in India is indeed unconstrained so that the people in backward regions and rural areas, who get dispossessed of their livelihood options or social linkages, can freely move into the developed regions or urban areas, It analyses these processes and recent trends while probing into methodological and data related issues in migration studies in India. The migration trends for socio-economically vulnerable sections of population are presented in the context of their access to urban and metropolitan space.

Examining calorie undernourishment in India: Is it due to choice or inadequacy?

2020 ◽  
pp. 026010602094973
Author(s):  
Udaya S Mishra ◽  
Balakrushna Padhi ◽  
Rinju
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Urban Poor ◽  
Food Choices ◽  
National Sample ◽  
Sample Survey ◽  
The Poor ◽  
Food Expenditure ◽  
Lower Magnitude ◽  
Common Understanding

Background: Calorie undernourishment is often associated with poverty but India presents a unique scene of decline in money-metric poverty and rise in calorie deprivation. Existing literature has varied explanation towards this effect. However, neither are the poor entirely calorie compromised nor do all the non-poor qualify calorie compliance. Aim: This is an attempt at verifying whether calorie undernourishment is a result of choice of food basket or the inadequacy of food expenditure. Method: An answer to this question is attempted with the exploration of data obtained from the National Sample Survey Organization’s Consumption Expenditure of Indian households for the periods 2004–2005 and 2011–2012. Results: Findings reveal that over the last one decade, the average per capita per day calorie intakes have slightly increased from 2040.55 Kcal in 2004–2005 to 2087.33 Kcal in 2011–2012, which has led to the increased share of well-nourished households from 20.21% in the 61st round to 22.78% in the 68th round of survey in rural areas, whereas the similar increase in urban areas is from 36.1% to 40.65%. Conclusions: Calorie undernourishment among the non-poor is observed that calorie undernourishment, if any, among the non-poor is entirely due to choice but the same among the poor has a divide between choice and inadequacy. The urban poor are calorie compromised more due to choice rather than inadequacy as against their rural counterparts. With higher poverty, calorie, non-compliance among the poor is more due to choice when compared with lower magnitude of poverty. These observations form a basis for contesting the common understanding that calorie compromise is entirely driven by inadequacy/incapacity of food expenditure. could be viewed in terms of the food choices made, especially among the poor while setting the minimum threshold of food expenditure to be calorie compliant.

scholarly journals An Analysis of the Determinants of Household Consumption Expenditure and Poverty in India

Economies ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 96 ◽  
Author(s):  
Heshmati ◽  
Maasoumi ◽  
Wan
Keyword(s):  
Social Status ◽  
Rural Areas ◽  
Urban Areas ◽  
Poverty Alleviation ◽  
National Sample ◽  
Sample Survey ◽  
Consumer Expenditure ◽  
Capita Expenditure ◽  
Household Heads ◽  
The Impact

This article examines the determinants of household income among urban and rural areas in India and evaluates households’ performance with different characteristics in terms of poverty. It uses four rounds of data from the consumer expenditure survey (50th, 1993/1994; 55th, 1999/2000; 61st, 2004/2005; and 66th, 2009/2010) by the National Sample Survey Organization (NSSO) in the empirical section. This study consists of two main parts. In the first, it looks at the impact of the characteristics of the head of the household (age, educational level, marital status, and gender) and household characteristics (main occupational type, household size, and social status) on monthly per capita expenditure through conditional mean least squares (LS) regressions and conditional quantile regressions. Households headed by those who are older, married, belonging to lower castes, and living in less-developed states are more likely to be in poverty. In the second part, the article explores stochastic dominance rankings relative to large classes of welfare functions/preferences between pairwise sub-groups identified by the survey year, gender, social status, and occupational type of the household heads. Our results show that ‘inferior groups’ such as ‘Backward classes’, agricultural labor in rural areas, and casual labor in urban areas are vulnerable and may be targeted for poverty alleviation strategies. The first part sheds light on key determinants of household expenditure, while the second provides a picture of poverty outcomes which helps identify potential target groups for poverty-alleviation strategies.

scholarly journals Estimates of multidimensional poverty for India using NSSO-71 and -75

2021 ◽  
Author(s):  
Venugopal Mothkoor ◽  
Nina Badgaiyan
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
State Level ◽  
Multidimensional Poverty ◽  
National Sample ◽  
Standard Of Living ◽  
Sample Survey ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
National Sample Survey Organization

We measure multidimensional poverty in India using National Sample Survey Organization data from 2014–15 to 2017–18. We use income, health, education, and standard of living to measure the multidimensional poverty index (MPI). The MPI headcount declined from 26.9 to 13.75 per cent over the study period. The all-India estimates indicate that 144 million people were lifted from poverty during this period. We include different health dimensions, factoring in insurance, institutional coverage, antenatal care, and chronic conditions. Income is the dominant instrument with the highest contribution to the MPI, followed by insurance. Cooking, sanitation, and education also have significant weights. The decline in deprivation is steeper in rural areas than urban areas. Our state-level estimates reveal that 20 states report less than 10 per cent headcount poverty, up from six states. COVID-19 may lead to reversals of these gains, with poverty rising to pre-2014–15 levels, rising more steeply in rural areas.

scholarly journals The Impact of the Minimum Wage on Male and Female Employment and Earnings in India

2017 ◽  
Vol 34 (1) ◽  
pp. 28-64 ◽  
Author(s):  
Nidhiya Menon ◽  
Yana van der Meulen Rodgers
Keyword(s):  
Minimum Wage ◽  
Cross Sections ◽  
Urban Areas ◽  
Wage Gap ◽  
National Sample ◽  
Female Employment ◽  
Sample Survey ◽  
Market Outcomes ◽  
Wage Rates ◽  
The Impact

This study examines how employment and wages for men and women respond to changes in the minimum wage in India, a country known for its extensive system of minimum wage regulations across states and industries. Using repeated cross sections of India's National Sample Survey Organization employment survey data for the period 1983–2008 merged with a newly created database of minimum wage rates, we find that, regardless of gender, minimum wages in urban areas have little to no impact on labor market outcomes. However, minimum wage rates increase earnings in the rural sector, especially for men, without any employment losses. Minimum wage rates also increase the residual gender wage gap, which may be explained by weaker compliance among firms that hire female workers.

scholarly journals The Effects of China’s “Belt and Road Initiative” and “31 Measures to Benefit Taiwan” on the Development of Taiwanese Enterprises

2018 ◽  
Vol 11 (12) ◽  
pp. 53
Author(s):  
Hsiung-Shen Jung ◽  
Jui-Lung Chen
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Labor Cost ◽  
Chinese Government ◽  
Rapid Economic Growth ◽  
The People ◽  
Belt And Road ◽  
Reform And Opening Up ◽  
The Belt And Road ◽  
Opening Up

China has achieved rapid economic growth and become involved in the economic globalization through its policy of reform and opening-up and modernization. It has attracted much investment from lots of Taiwanese enterprises, including some small and medium-sized enterprises featuring a high labor cost and facing difficult operation in the traditional industries. Thanks to the policy, many Taiwanese enterprises have got a chance to rebirth by transforming their crises into opportunities. With the implementation of the policy of urbanization, the people from rural areas in China have been moving to urban areas, and the enterprises of the second and third industries have been concentrating in cities. This has not only fueled the livelihood-oriented consumption in China but also expanded the domestic demand market of the Taiwanese medium and large-sized livelihood enterprises in China. The Belt and Road trade foundation construction program, which aims to link Europe, Asia and Africa and was proposed in 2013, is an extension of the Great Development of Western Part of China and offers Taiwanese enterprises a chance to get fully involved in the development of the international market. The 31 Measures to Benefit Taiwan announced by the Chinese government in February 2018 has significant influence on the future development of the Taiwanese enterprises in China. Therefore, this paper will elaborate on the effects of the Belt and Road and the 31 Measures to Benefit Taiwan on the Taiwanese enterprises.

scholarly journals FINANCING SMALL FARMERS FOR INDIA’S FOOD SECURITY

2016 ◽  
Vol 4 (7) ◽  
pp. 196-212
Author(s):  
Amrit Patel
Keyword(s):  
Food Security ◽  
Urban Areas ◽  
Poverty Reduction ◽  
Meat Products ◽  
National Sample ◽  
Sample Survey ◽  
Rural India ◽  
Small Scale ◽  
Small Holding ◽  
Average Size

According to the Global Hunger Report, India continues to be among nations where hunger is "alarming". It is most disappointing that despite high economic growth, the hunger index in India between 1996 and 2011 has insignificantly improved from 22.9 to 23.7. National Sample Survey Organization data revealed that the average per capita food expenditure per annum during the period from 1993 to 2010 increased only by 0.2 % annually in rural India and declined by 0.1% in the urban areas. At any given point of time, the cereal intake of the bottom 20% people in rural India which is engaged more in manual work continues to be at least 20% less than the cereal intake of the top decile of the population, despite their better access to fruit, vegetables and meat products. Endemic hunger continues to afflict a large proportion of the population. Agricultural Census [2010–11] revealed that out of 138.35 million operational holdings in India as high as 85% (which account for 44.6% of the total cultivated area) are small and marginal farmers [S&MFs] owning less than two hectares. This, therefore, characterises India’s agriculture a small-scale-farming. Average size of small-holding is only 0.61 hectare whereas overall average size of holdings declined from 1.33 ha in 2000–01 to 1.15 in 2010–11.The role of S&MFs in boosting food output and reduction of poverty is well recognized. Therefore, the future of sustainable agricultural growth, food security and poverty reduction in India depends on creating environment that enables huge number of S&MFs to easy, hassle-free and reliable access to institutional credit. Against this background, this article analyses the performance of Government–sponsored and Banks programs aimed at financing S&MFs and suggest enabling measures to achieve 8% target of credit to S&MFs within existing 18% credit to agriculture by 2017 as recently prescribed by the Reserve Bank of India [RBI].

scholarly journals Dentition Status and Treatment Needs of 5 and 12 Year Old School Children in Urban and Rural Areas of Guntur, India

2012 ◽  
Vol 6 (3) ◽  
pp. 126-130
Author(s):  
S Suresh ◽  
V Narayana Rao ◽  
Zaheer Ahmed ◽  
Pratap KVNR
Keyword(s):  
School Children ◽  
Rural Areas ◽  
Urban Areas ◽  
Sample Survey ◽  
Deciduous Teeth ◽  
Caries Prevalence ◽  
Treatment Needs ◽  
Rural And Urban Areas ◽  
Multi Stage ◽  
Urban And Rural Areas

ABSTRACT Objective To describe the caries prevalence and treatment needs of 5 and 12 year old school children in urban and rural areas of Guntur. Materials and Methods A multi stage random sampling was used to select the sample; survey was conducted among 800 children of 5 and 12 year old in government and private schools from rural and urban areas of Guntur. Results The caries prevalence of 5 year olds was 33.25% (urban 32.5% and; rural 34%) and mean dmft was 0.83±1.5 (urban 0.71 and rural 0.95). The caries prevalence of 12 year olds was 25.75% (urban 31.5% and rural 20%) and mean dmft was0.41±0.89 (urban 0.54 and rural 0.28). Conclusion Caries prevalence was greater in deciduous teeth of 5 year old children than that in permanent dentition of 12 year old children. Among 12 year olds caries prevalence was greater in urban subjects than rural subjects. There is a huge unmet treatment need for dental caries. There is a definite need to bring awareness and motivation in these children to undergo preventive and curative treatments in order to improve their oral health.

scholarly journals PERUBAHAN STRUKTUR PENDUDUK AKIBAT PEMBANGIUNAN INDUSTRI PARIWISATA DI PROPINSI BALI

Populasi ◽  
2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Ida Bagoes Mantra
Keyword(s):  
Rural Areas ◽  
Population Distribution ◽  
Rapid Development ◽  
Structural Difference ◽  
Tourism Industry ◽  
Tourist Industry ◽  
Economic Opportunities ◽  
Exact Number ◽  
The People ◽  
Domestic Tourist

Tourism industry in the Province of Bali has rapidly developed lately. This has consequently led to the increase of the number of both foreign and domestic tourist who come to visit Bali.The rapid development of tourist industry in Bali has certain impact on the existing demograpgic structure. As an example, the populatuin growth in the tourist areas has increased considerably caused by the number of migrants who came to the region. Most of these people are non-permanent migrants of which the exact number is never known. If prior to the 1970s the population were clustered in the fertile regions, the population distribution has now changed to following the distribution of tourist industry.Tourist industry may stimulate the people of the rural areas to utilize the present existing economic opportunities. Development both in phusycal an non-physycal aspect in the rural areas is followed by the improvement of transport facilities. These close relations have positively influenced the slight demographic structural difference between urban and rural.

Women Entrepreneurship

2019 ◽  
pp. 99-118
Author(s):  
Prachita A. Patil ◽  
Yogesh M. Deshpande
Keyword(s):  
Rural Areas ◽  
National Sample ◽  
The State ◽  
Sample Survey ◽  
Female Entrepreneurs ◽  
National Sample Survey ◽  
Leading Role ◽  
National Sample Survey Organization ◽  
State Of Mind

According to the National Sample Survey Organization (NSSO), not more than 14% of business establishments are run by female entrepreneurs in India, especially in rural areas. Entrepreneurship is not an easy step for women. It was traditionally considered as a man's bastion, but now with the due course of time, women are coming in the limelight to fulfil their aspiration as it is a fruitful opportunity where educated or illiterates can do wonders to achieve their dreams. Entrepreneurship is the state of mind which every woman has in her but has not been capitalized in India in a way it should have been. With the drastic change in modernization, people are more comfortable to accept the leading role of women in society, with some exceptions.

scholarly journals Trends of low physical activity among Iranian adolescents across urban and rural areas during 2006–2011

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Parisa Amiri ◽  
Parisa Naseri ◽  
Golnaz Vahedi-Notash ◽  
Sara Jalali-Farahani ◽  
Yadollah Mehrabi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Rural Areas ◽  
Urban Areas ◽  
Physical Inactivity ◽  
Multinomial Logistic Regression ◽  
Prevalence Ratio ◽  
Sample Survey ◽  
Activity Levels ◽  
Urban Girls ◽  
Urban And Rural Areas

AbstractIt is well documented that physical inactivity is related to weight gain and a whole host of chronic diseases. This study investigated trends of low physical activity among Iranian adolescents in urban and rural areas between 2006–2011. A total of 12,178 adolescents, aged between 15 and 19 years, participated in National Surveys of Risk Factors for Non-Communicable Diseases. Data on physical activity was obtained using the global physical activity questionnaire. A complex sample survey and multinomial logistic regression were used to model physical activity levels. The percentage of adolescents who had low levels of physical activity increased from 2006 to 2011 in both urban and rural areas. Low and moderate levels of physical activity were lower in rural girls as compared with urban girls, with a prevalence ratio of 0.59 (95% CI 0.47–0.74) and 0.59 (95% CI 0.47–0.74), respectively. The corresponding values for boys residing in rural areas compared with boys in urban areas were 0.56 (95% CI 0.43–0.75) and 0.60 (95% CI 0.48–0.74), respectively. The adolescents' lifestyles showed an increasing trend for physical inactivity in both genders; however, in rural areas, only girls had a rising affinity for a sedentary lifestyle throughout the 2006–2011 years.

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