Growth, Inequality, Poverty, and Urbanization: the Case of India

2019 ◽  
pp. 674-734
Author(s):  
Arup Mitra
Keyword(s):  
Urban Areas ◽  
Rural Poverty ◽  
Participation Rate ◽  
State Level ◽  
Positive Association ◽  
Strongly Correlated ◽  
Urban Inequality ◽  
Level Data ◽  
Degree Of Association ◽  
The Relationship

In this chapter the analysis is pursued at three levels of disaggregation: states, districts, and cities with populations over one million. At the state level, urbanization does not show any significant impact on rural poverty, though it tends to reduce poverty in urban areas. Growth influences urbanization positively, while urbanization and expansion in non-agricultural activities both contribute to economic growth. Although urban inequality is not strongly correlated with urbanization and growth, the relationship is distinct. While poverty tends to decline, inequality rises in the process of growth and urbanization. The district-level data confirm a positive association between urbanization, work participation rate, percentage of workforce engaged in non-household manufacturing and services, literacy, growth, and inequality, though the degree of association is mild. Urbanization shows a strong beneficial effect on poverty at both the district and city levels.

Legalization of Medical Cannabis and Site of Death: Evidence From National Vital Statistics Mortality Data

2021 ◽  
pp. 073346482110587
Author(s):  
Divya Bhagianadh ◽  
Kanika Arora
Keyword(s):  
State Level ◽  
Positive Association ◽  
Vital Statistics ◽  
Mortality Data ◽  
Medical Cannabis ◽  
Difference In Differences ◽  
Early Adopters ◽  
Level Data ◽  
Hospital Deaths ◽  
Poor Outcomes

We examined whether Medical Marijuana Legislation (MML) was associated with site of death. Using state-level data (1992–2018) from the National Vital Statistics System (NVSS), we employed difference-in-differences method to compare changes in death rate among older adults at four sites—nursing home (NH), hospital, home, hospice/other—over time in states with and without MML. Heterogeneity analyses were conducted by timing of MML adoption, and by decedent characteristics. Results show a negative association between MML implementation and NH deaths. Among early adopters (states with weakly regulated programs) and decedents with musculoskeletal disorders, there was a positive association between MML implementation and hospital deaths, whereas among late adopters (states with “medicalized” programs), there was a positive association between MML implementation and hospice deaths. Decline in NH deaths may reflect increased likelihood of transfers due to threat of Federal enforcement, penalties for poor outcomes, and liability concerns. Future studies should examine these associations further.

scholarly journals Output and pollution abatement in a U.S. state emission function

2019 ◽  
Vol 25 (1) ◽  
pp. 44-65 ◽  
Author(s):  
Neophyta Empora ◽  
Theofanis P. Mamuneas ◽  
Thanasis Stengos
Keyword(s):  
Environmental Kuznets Curve ◽  
Policy Making ◽  
Driving Forces ◽  
Pollution Abatement ◽  
State Level ◽  
Kuznets Curve ◽  
Nonlinear Relationship ◽  
Level Data ◽  
The Relationship ◽  
Emission Function

AbstractUsing U.S. state-level data for the period 1973–1994, this study models the relationship between emissions, output and pollution abatement by defining an emissions function, in a manner that is consistent with the residual (emissions) generation mechanism and firms' optimizing behavior. It thus accounts for factors that were previously unaccounted for or addressed only individually. Applications using this comprehensive setting can offer more informed insights for policy-making, something that is particularly useful for developing countries that face the environmental degradation that comes together with the benefits of economic growth. Using nonparametric econometric techniques as well as threshold regression, the empirical results show that there is a positive nonlinear relationship between emissions and output, rejecting an inverted-U type of relationship between the two (the Environmental Kuznets Curve, or EKC). In the absence of abatement the relationship turns around, verifying the arguments in the literature that abatement is one of the driving forces for an EKC to emerge.

scholarly journals Exposure to Famine During Early Life and Abdominal Obesity in Adulthood: Findings from the Great Chinese Famine During 1959–1961

Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 903 ◽  
Author(s):  
Dan Liu ◽  
Dong-mei Yu ◽  
Li-yun Zhao ◽  
Hong-yun Fang ◽  
Jian Zhang ◽  
...  
Keyword(s):  
Abdominal Obesity ◽  
Urban Areas ◽  
Early Life ◽  
Healthy Lifestyle ◽  
Positive Association ◽  
Fetal Life ◽  
Cross Sectional ◽  
Famine Exposure ◽  
Nationally Representative ◽  
The Relationship

Undernutrition during early life may lead to obesity in adulthood. This study was conducted to examine the relationship between famine exposure during early life and the risk of abdominal obesity in adulthood. A total of 18,984 and 16,594 adults were surveyed in 2002 and 2010–2012 in two nationally representative cross-sectional surveys, namely China Nutrition and Health Survey, respectively. The risk of abdominal obesity was evaluated for participants born during 1956–1961 and compared with that of participants born during 1962–1964. The overall prevalence of abdominal obesity in adulthood showed a positive association with famine exposure during early life. The odds ratios of famine exposure were 1.31 (1.19–1.44) and 1.28 (1.17–1.40) in 2002 during fetal life and infancy and 1.09 (1.00–1.19) in 2012 during fetal life, respectively. The relationships between famine exposure and abdominal obesity across the famine exposure groups were distinct among females and those who lived in urban areas and were physical inactive (p < 0.05). Exposure to famine during early life was associated with increased risks of abdominal obesity in adulthood, which was partially alleviated by healthy lifestyle factors (e.g., physical activity).

scholarly journals An Assessment of the Access to Credit-Welfare Nexus: Evidence from Mauritania

2017 ◽  
Vol 12 (9) ◽  
pp. 77 ◽  
Author(s):  
Alessandra Amendola ◽  
Marinella Boccia ◽  
Gianluca Mele ◽  
Luca Sensini
Keyword(s):  
Rural Areas ◽  
Financial Services ◽  
Urban Areas ◽  
Credit Access ◽  
Access To Credit ◽  
Household Level ◽  
Support Strategies ◽  
Level Data ◽  
The Impact ◽  
The Relationship

This paper evaluates the impact of access to credit from banks and other financial institutions on household welfare in Mauritania. Household level data are used to evaluate the relationship between credit access, a range of household characteristics, and welfare indicators. To address the threats of potential endogeneity, an index of household isolation is used to instrument access to credit. Evidence on the validity of the exclusion restriction is provided showing that household isolation is unrelated with households and area characteristics six years prior to the measurements on which this analysis is based. Results show that households with older and more educated heads are more likely to access financial services, as are households living in urban areas. In addition, greater financial access is associated with a reduced dependence on household production and increased investment in human capital. The policy conclusions from our analysis support strategies for expanding financial infrastructures in underserved rural areas of Mauritania.

scholarly journals Spatial patterns of rural poverty: an exploratory analysis in the São Francisco River Basin, Brazil

Nova Economia ◽  
2011 ◽  
Vol 21 (1) ◽  
pp. 45-66 ◽  
Author(s):  
Marcelo de O. Torres ◽  
Stephen A. Vosti ◽  
Marco P. Maneta ◽  
Wesley W. Wallender ◽  
Lineu N. Rodrigues ◽  
...  
Keyword(s):  
River Basin ◽  
Spatial Patterns ◽  
Spatial Econometrics ◽  
Hot Spots ◽  
Poverty Reduction ◽  
Rural Poverty ◽  
State Level ◽  
Sao Francisco River ◽  
São Francisco River ◽  
Level Data

This paper uses recently released município-level data on rural poverty in Brazil to identify and analyze spatial patterns of rural poverty in the São Francisco River Basin (SFRB). Moran's I statistics are generated and used to test for spatial autocorrelation, and to prepare cluster maps that locate rural poverty 'hot spots' and 'cold spots'. Our results indicate that poverty reduction policies in the SFRB should take into account the spatial distribution of poverty. Not only is poverty in the SFRB clustered spatially, but the bulk of the basin's poor resides in municípios that comprise the poverty 'hot spots' we identified. These clusters did not correspond to state-level boundaries (the political delineations often used to measure poverty and to manage poverty reduction programs), so scope may exist for geographically refocusing poverty reduction efforts to make them more efficient. Maybe more importantly the results set the stage for the use of spatial econometrics for a future multivariate analysis of rural poverty in the basin.

Tuition Funding for Common Schools

2008 ◽  
Vol 32 (1) ◽  
pp. 107-133
Author(s):  
Nancy Beadie
Keyword(s):  
New York ◽  
Rural Areas ◽  
Urban Areas ◽  
School Funding ◽  
State Level ◽  
Private Funding ◽  
Public And Private ◽  
Common Schools ◽  
Rural Town ◽  
Level Data

Funding for schools of all kinds was largely market-based until the Civil War. Parents in New York and other northern states continued to pay tuition, or rate bills, in addition to taxes to support common schools. Previous research relied on aggregate state-level data to estimate the amount of funding from public and nonpublic sources for common schools, while existing case studies of local school practices focus exclusively on Massachusetts or on urban locations and thus on exceptions to the rule. This study looks at local practices of school funding for multiple types of schools in one unexceptional rural town in western New York from 1815 to 1850. The results reveal considerable in-state variation in the proportion of public and private funding for common schools that is otherwise obscured by state-level data. The proportion of school funds that came from tuition was much higher for rural areas than for urban areas. The article also compares tuition funding for common schools with that for other types of market-based schooling, including two local venture schools and one local academy. The results show that, although tuition prices for academies and venture schools were predictably higher than for common schools, the overall structure of school funding for rural common schools and academies was more similar than different in New York in the antebellum era.

Labor Unions and Voter Turnout in the American States: Direct Versus Indirect Mobilization

2022 ◽  
pp. 1-20
Author(s):  
Gidong Kim
Keyword(s):  
Labor Unions ◽  
Voter Turnout ◽  
State Level ◽  
Individual Level ◽  
American States ◽  
Level Data ◽  
Midterm Elections ◽  
The Relationship ◽  
Level Analysis ◽  
Aggregate Strength

Abstract I examine the relationship between labor unions and voter turnout in the American states. Though it is well known that unions increase turnout directly, we know less about their indirect effects. Moreover, the indirect effects may consist of nonmember mobilization and aggregate strength. To examine the direct and indirect mechanisms, I analyze both state-level panel data and individual-level data with a multilevel approach. First, my panel analysis shows that unions are positively associated with turnout as expected. Yet, the association is observed only in midterm elections, but not in presidential elections. Second, more importantly, my individual-level analysis suggests that indirect nonmember mobilization and indirect aggregate strength are positively related to turnout, while direct member mobilization is not. The findings imply that the direct effects are limited and, thus, that decreasing levels of voter turnout due to recently declining union membership come primarily from indirect mobilization rather than direct mobilization.

scholarly journals Women and Work in India: State-level Analysis

Social Change ◽  
2020 ◽  
Vol 50 (1) ◽  
pp. 160-168
Author(s):  
Surajit Deb
Keyword(s):  
Labour Force ◽  
Participation Rate ◽  
State Level ◽  
Labour Force Participation ◽  
Special Issue ◽  
Women And Work ◽  
Labour Force Participation Rate ◽  
Level Data ◽  
The Social ◽  
Level Analysis

The Social Change Indicators series in this special issue presents state-level data on labour force participation rate, unemployment rate, status of employment and sectoral distribution.

scholarly journals Abortion Facility Closings and Abortion Rates in Texas

2017 ◽  
Vol 54 ◽  
pp. 004695801770094 ◽  
Author(s):  
Troy Quast ◽  
Fidel Gonzalez ◽  
Robert Ziemba
Keyword(s):  
State Level ◽  
Abortion Rate ◽  
County Level ◽  
Us States ◽  
Differential Effects ◽  
Level Data ◽  
Race Ethnicity ◽  
The Relationship ◽  
Linear Regressions ◽  
Abortion Clinics

From 2004 to 2014, the overall abortion rate in Texas fell by almost a third from 10.7 to 7.2 abortions per 1000 women aged 10 to 49 years. During this same period, the number of abortion clinics operating at least 6 months in the year fell from 40 to 27. We examined the relationship between the abortion rate and the proximity of abortion facilities. We matched annual, county-level data on abortion rates in Texas from 2004 through 2014 with the distance from the county centroids to the nearest abortion facility in operation. Linear regressions were used to estimate the association between abortion rates and proximity to abortion facilities. The regressions controlled for county-level and state-level characteristics as well as the availability of abortion services in neighboring US states and Mexico. We found that a 100-mile increase in distance to the nearest abortion facility was associated with a 10% decrease in the overall abortion rate. The relationship appeared to be driven largely by distances of 200 miles or more. The overall relationship was generally present for whites and blacks, whereas the pattern was less clear for Hispanics. The analysis indicated that the overall association was driven largely by women aged 20 to 34 years. Decreased access to abortion facilities was associated with decreases in the abortion rate, yet the relationship varied by race/ethnicity and age. As such, regulations that affect the operational status of abortion facilities likely have differential effects on women.

Corruption and inflation: evidence from US states

2019 ◽  
Vol 11 (2) ◽  
pp. 251-262
Author(s):  
Hussein Elkamel
Keyword(s):  
Multiple Regression ◽  
Design Methodology ◽  
State Level ◽  
Content Type ◽  
Us States ◽  
Level Data ◽  
The Us ◽  
Regression Techniques ◽  
Cross Country ◽  
The Relationship

Purpose The purpose of this paper is to show that states where corruption is greater also have higher levels of inflation. Design/methodology/approach Using a sample of all US states through the period 1992-2007 and various factors common across states that could impact the level of corruption or inflation, multiple regression techniques are used to determine corruption impact to inflation. Findings The study finds that corruption contributes, along with aid transfer, positively to inflation in the US states. The results are robust even after scaling the corruption variable to different determinants. Originality/value While there is some evidence on the relationship between corruption and inflation in cross-country dataset, there is no such evidence on it within country dataset. This paper, however, provides evidence on the relationship between corruption and inflation using state-level data of the US states.

Sign in / Sign up

Export Citation Format

Share Document