The Ecology of Peasant Communism in India

1971 ◽  
Vol 65 (1) ◽  
pp. 144-160 ◽  
Author(s):  
Donald S. Zagoria
Keyword(s):  
Census Data ◽  
Statistical Data ◽  
The Philippines ◽  
Economic Variables ◽  
Significant Percentage ◽  
General Elections ◽  
Socio Economic Variables ◽  
Highly Correlated ◽  
Indian Census

The purpose of this article is to investigate the agrarian base of Indian communism through the use of statistical data and techniques in which the Communist vote over three general elections since 1957 is correlated with 35 largely socio-economic variables taken from Indian census data. The results indicate that two of these variables—landlessness in densely populated areas—explain a significant percentage of the variance in the Indian Communist vote. It is further suggested on the basis of statistical data accumulated by other investigators for Java and the Philippines that the same two variables are highly correlated with Communist strength in other parts of Asia.

Residential Resource Consumption

2018 ◽  
pp. 251-287
Author(s):  
Maryam Saydi ◽  
Ian D. Bishop
Keyword(s):  
Energy Consumption ◽  
Water Use ◽  
Water Consumption ◽  
Census Data ◽  
Linear Regression Models ◽  
Residential Energy ◽  
Structure Factors ◽  
Socio Economic Variables ◽  
Highly Correlated ◽  
Scenario Testing

Residential energy and water consumption depend on dwelling structure and the behaviour of residents. Aspects of residential behaviour can be derived from census data. Dwelling information is harder to obtain. Using both aerial and street-level views from Google mapping products, exterior dwelling characteristics were captured in each of 40 postal areas in and around Melbourne, Australia. This approach saved the time and cost of travelling to the widely spread suburbs and provided data not otherwise available. The census and dwelling data were compared with resource usage statistics in linear regression models. It was found that energy and water use are highly correlated, with socio-economic variables better explaining water consumption and dwelling structure factors better explaining energy consumption. Nevertheless, the proportions of households that include a couple with children and have a swimming pool provided useful models of variations in both energy and water use. Applications to planning through spatially explicit scenario testing were developed in ArcGIS ModelBuilder.

scholarly journals ASSESSING MODIFIABLE AREAL UNIT PROBLEM IN THE ANALYSIS OF DEFORESTATION DRIVERS USING REMOTE SENSING AND CENSUS DATA

2015 ◽  
Vol XL-3/W3 ◽  
pp. 77-80 ◽  
Author(s):  
J. F. Mas ◽  
A. Pérez Vega ◽  
A. Andablo Reyes ◽  
M. A. Castillo Santiago ◽  
A. Flamenco Sandoval
Keyword(s):  
Environmental Variables ◽  
Census Data ◽  
Spatial Configuration ◽  
Rate Of Change ◽  
Population Census ◽  
Modifiable Areal Unit Problem ◽  
Land Use Land Cover ◽  
Economic Variables ◽  
Areal Unit ◽  
Socio Economic Variables

In order to identify drivers of land use / land cover change (LUCC), the rate of change is often compared with environmental and socio-economic variables such as slope, soil suitability or population density. Socio-economic information is obtained from census data which are collected for individual households but are commonly presented in aggregate on the basis of geographical units as municipalities. However, a common problem, known as the modifiable areal unit problem (MAUP), is that the results of statistical analysis are not independent of the scale and the spatial configuration of the units used to aggregate the information. In this article, we evaluate how strong MAUP effects are for a study on the deforestation drivers in Mexico at municipality level. This was done by taking socio-economic variables from the 2010 Census of Mexico along with environmental variables and the rate of deforestation. As population census is given for each human settlement and environmental variables are obtained from high resolution spatial database, it was possible to aggregate the information using spatial units (”pseudo municipalities”) with different sizes in order to observe the effect of scale and aggregation on the values of bivariate correlations (Pearsons r) between pairs of variables. We found that MAUP produces variations in the results, and we observed some variable pairs and some configurations of the spatial units where the effect was substantial.

scholarly journals Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Koen Füssenich ◽  
Hendriek C. Boshuizen ◽  
Markus M. J. Nielen ◽  
Erik Buskens ◽  
Talitha L. Feenstra
Keyword(s):  
Chronic Disease ◽  
Hospital Admission ◽  
Medication Use ◽  
Disease Prevalence ◽  
Percentage Error ◽  
Economic Variables ◽  
Regional Patterns ◽  
Prevalence Estimates ◽  
Socio Economic Variables ◽  
Chronic Disease Prevalence

Abstract Background Policymakers generally lack sufficiently detailed health information to develop localized health policy plans. Chronic disease prevalence mapping is difficult as accurate direct sources are often lacking. Improvement is possible by adding extra information such as medication use and demographic information to identify disease. The aim of the current study was to obtain small geographic area prevalence estimates for four common chronic diseases by modelling based on medication use and socio-economic variables and next to investigate regional patterns of disease. Methods Administrative hospital records and general practitioner registry data were linked to medication use and socio-economic characteristics. The training set (n = 707,021) contained GP diagnosis and/or hospital admission diagnosis as the standard for disease prevalence. For the entire Dutch population (n = 16,777,888), all information except GP diagnosis and hospital admission was available. LASSO regression models for binary outcomes were used to select variables strongly associated with disease. Dutch municipality (non-)standardized prevalence estimates for stroke, CHD, COPD and diabetes were then based on averages of predicted probabilities for each individual inhabitant. Results Adding medication use data as a predictor substantially improved model performance. Estimates at the municipality level performed best for diabetes with a weighted percentage error (WPE) of 6.8%, and worst for COPD (WPE 14.5%)Disease prevalence showed clear regional patterns, also after standardization for age. Conclusion Adding medication use as an indicator of disease prevalence next to socio-economic variables substantially improved estimates at the municipality level. The resulting individual disease probabilities could be aggregated into any desired regional level and provide a useful tool to identify regional patterns and inform local policy.

scholarly journals Maternal nutritional status (as measured by height, weight and BMI) in Bangladesh: trends and socio-economic association over the period 1996 to 2007

2015 ◽  
Vol 19 (8) ◽  
pp. 1438-1445 ◽  
Author(s):  
Masuda Mohsena ◽  
Rie Goto ◽  
CG Nicholas Mascie-Taylor
Keyword(s):  
Nutritional Status ◽  
Considerable Increase ◽  
Substantial Reduction ◽  
Overweight And Obesity ◽  
Demographic And Health Surveys ◽  
Economic Variables ◽  
Maternal Nutritional Status ◽  
Economic Association ◽  
Education Of Women ◽  
Socio Economic Variables

AbstractObjectiveTo analyse trends in maternal nutritional status in Bangladesh over a 12-year period and to examine the associations between nutritional status and socio-economic variables.DesignMaternal nutritional status indicators were height, weight and BMI. Socio-economic variables used were region, residency, education and occupation of the mothers and their husbands, house type, and possession score in the household.SettingBangladesh Demographic and Health Surveys (1996, 2000, 2004 and 2007) were the source of data.SubjectsA total of 16 278 mothers were included.ResultsAll of the socio-economic variables showed significant associations with maternal nutritional status indicators. Regional variation was found to be present; all three indicators were found to be lowest in the Sylhet division. Upward trends in maternal height, weight and BMI were evident from no possessions to four possessions in households, and for no education to higher education of women and their husbands. Bangladeshi mothers measured in 2007 were found to be on average 0·34 cm taller and 3·36 kg heavier than mothers measured in 1996. Between 1996 and 2007 maternal underweight fell from nearly 50 % to just over 30 % while overweight and obesity increased from about 3 % to over 9 % (WHO cut-offs) or from 7 % to nearly 18 % (Asian cut-offs).ConclusionsThe study reveals that over the 12-year period in Bangladesh there has been a substantial reduction in maternal underweight accompanied by a considerable increase in obesity. It is also evident that malnutrition in Bangladesh is a multidimensional problem that warrants a proper policy mix and programme intervention.

Impact of E-Core Service Quality Dimensions on Perceived Value of M-Banking in Case of Three Socio-Economic Variables

2017 ◽  
Vol 13 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Savdeep Vasudeva ◽  
Gurdip Singh
Keyword(s):  
Service Quality ◽  
Perceived Value ◽  
Mobile Banking ◽  
Service Usage ◽  
Economic Variables ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
Core Service ◽  
Socio Economic Variables ◽  
The Impact

This study addresses a research gap in mobile banking (M-banking) related to post service usage consumer behavior and aims to discover the impact of electronic core (e-core) service quality dimensions on the perceived value of service in relation to three socio-economic variables i.e. gender, age and income. The study attempts to identify whether the impact of these dimensions vary as per the difference in socio-economic demographics? Further, E-S-QUAL scale representing dimensions of e-core service quality is utilized and data collection is conducted from a survey of 600 mobile banking users of the Punjab State in India. The collected data is then put to test using Multiple Regression Analysis and Cronbach's alpha. Findings of the study reveal that different customers perceive these dimensions differently depending upon their demographics. This study has important implications for academic research related to e-service quality or to any one doing research in the field of M-banking.

scholarly journals Willingness to Adopt the Recommended Practices of Organic Turmeric among Kandhamal Farmers of Odisha

2021 ◽  
pp. 80-87
Author(s):  
Asish Panigrahi ◽  
Satarupa Modak ◽  
Chitrasena Padhy
Keyword(s):  
Agricultural Practices ◽  
Secondary Data ◽  
Agricultural Practice ◽  
Economic Variables ◽  
Public And Private ◽  
Willingness To Adopt ◽  
Healing Property ◽  
Socio Economic Variables ◽  
Chemical Inputs ◽  
High Level

Turmeric Cultivation is one of livelihood for the Kondh tribes of Kandhamal District of Odisha. These farmers were cultivating this crop with their traditional knowledge of crop practices without any intervention of chemical inputs. From the studies, it is found that farmers of the district were economically and educationally backward. Turmeric of Kandhamal is well known for its healing property, color, aroma etc. and received GI tag for its unique features. From the secondary data it was found that there were few public and private extension actors trying to promote organic recommended package of practices for Turmeric.  And, to boost willingness among farmers towards recommended organic Turmeric various socio-economic variables might be responsible. In this view the present study was carried out (2020-21) in Kandhamal district of Odisha to understand attitude towards recommended organic Turmeric and socio-economic variables effecting willingness to adopt organic package of practices of Turmeric. It was found that turmeric growers had medium to high level of willingness to adopt the recommended agricultural practice. And among selected socio-economic variables respondent’s total family member, Members help in family farming and adult male had negative and significantly relationship with willingness to adopt the recommended agricultural practices of organic turmeric. Private extension actors and State Horticulture Department training were continually motivating them to adopt recommended agricultural practices of organic turmeric. 

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