Economic and Social Indicators of Rural Development from an Economic Viewpoint

1972 ◽  
Vol 4 (1) ◽  
pp. 229-245 ◽  
Author(s):  
Clark Edwards ◽  
Robert Coltrane
Keyword(s):  
Economic Development ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Capita Income ◽  
Social Indicators ◽  
General Level ◽  
Per Capita Income ◽  
Economic Development And Growth ◽  
Per Capita

A disproportionately large share of our economic development problems, involving maldistributions of population, employment, and income, is found in rural areas. Although these problems directly affect the residents of rural areas, they are linked to economic problems in urban areas. Per capita income comparisons indicate the differential effects of economic development on the population. For example, per capita incomes of residents outside metropolitan areas are only about 71 percent of those in the orban-oriented ones. In addition, about one-third of all families live in nonmetropolitan areas, but over half of all low income families live there. Further, large geographic areas such as the Appalachian, Mississippi Delta, and Ozark regions are below the Nation as a whole in terms of the general level of economic development. Even in the urban centers of these rural regions, the average resident has not commensurately participated in the benefits derived from our Nation's economic development and growth. Comparisons of per capita income for different years show these maldistributions have persisted for decades.

scholarly journals Socio-Economic and Demographic Factors of Poverty Alleviation in Pakistan: A Case Study of Southern Punjab

2020 ◽  
Vol 6 (2) ◽  
pp. 525-538
Author(s):  
Rashid Ahmad ◽  
Muhammad Zahir Faridi
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Capita Income ◽  
Household Head ◽  
Rural Poverty ◽  
Least Square ◽  
Per Capita Income ◽  
High Dependency ◽  
Per Capita ◽  
Dependency Rate

This study aims to explore the socio-economic and demographic determinants of poverty in Southern Punjab by using the cross sectional data consisting of 785 household heads. Binary logistic regression  and ordinary least square method are used for estimation. The findings exhibit that the variables like family system, household size, presence of disease and status of employment of household head are positively and significantly related to  poverty whereas household head age, rural-to-urban migration,  years of schooling,  number of earners, women status of work, remittances, the physical assets value and ownership of house significantly and negatively influence the likelihood of poverty and positively influence the per capita income of the households in Southern Punjab. The study also provides the comparison of regional and division level. It is concluded that DG Khan division is the poorest among all the divisions of the southern Punjab. In DG Khan Division, the households have less education, high dependency ratio. In rural areas of southern Punjab, there is more poverty as compare to urban areas. The rural poverty is due to many factors like high dependency rate, lower level of education, adoption of profession, lower per capita income, dissaving. It is suggested that education should be promoted, employment opportunity should be provided so that dependency rate may be reduced, rural areas should be restructured by provision of basic necessities of life.

scholarly journals ANALISIS KASUS KEMISKINAN DI PROVINSI KALIMANTAN TENGAH DENGAN PENDEKATAN PRINCIPAL COMPONENT ANALYSIS

2020 ◽  
Vol 5 (2) ◽  
pp. 134-141
Author(s):  
Annisa Halida ◽  
Nadya Farah Pradita ◽  
Yuana Sukmawaty
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Capita Income ◽  
Principal Component ◽  
Poor People ◽  
Per Capita Income ◽  
Central Kalimantan ◽  
Eigen Value ◽  
Two Factors ◽  
Per Capita

According to a report by the Central Statistics Agency, the percentage of poor people in urban areas in September 2019 was 6.89%. Meanwhile, the percentage of poor people in rural areas in September 2019 was 13.10%. The data above is only a national percentage, there are still many provinces that have a poverty percentage above the national percentage, especially in Central Kalimantan Province. There are many factors that influence poverty, including education, employment status, working sector, and per capita income. This paper focuses on a study to determine the factors that have the greatest influence on poverty in Central Kalimantan Province in 2019. The results of this study simplify the poverty factor into 2 (two) factors, namely the first factor consisting of variables of education, work status, and sector. work. Meanwhile, the second factor consists of the variable per capita income for food. In addition, the greatest eigen value was obtained in the education variable of 465.67, which indicates that the education variable has the greatest influence on poverty in Central Kalimantan Province in 2019.

scholarly journals EXAMINING THE IMPACT OF CASINOS ON ECONOMIC DEVELOPMENT: A SPATIAL ANALYSIS OF THE COUNTIES IN THE MID-ATLANTIC REGION

2015 ◽  
Vol 9 (1) ◽  
pp. 77-92 ◽  
Author(s):  
Andrew James Economopoulos
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Capita Income ◽  
Retail Sector ◽  
Per Capita Income ◽  
Net Benefit ◽  
Total Employment ◽  
Political Boundaries ◽  
Per Capita ◽  
The Impact

Few have formally evaluated the economic impact of casinos, and yet most agree that it is crucial in estimating the net benefit to society.  A new casino investment should stimulate economic activity in the immediate region, but its operations could potentially reduce employment and incomes with in the industry. Grinols outlines the factors that could lead to positive or negative growth from the investment, but what is critical to the empirical validation of the investment is the definition of region.   Since data is geographically limited to political boundaries, it is necessary to employ a spatial methodology that captures the impact beyond the political boundary. The Spatial Durbin Model (SDM) is outline.  The SDM captures both the local impacts and spillovers in the region and it can also identify if the casino competes or complements within their sectors.   Income per capita and employment measurements for the county and the retail sector were examined. The evidence indicates that casinos raises per capita income in urban areas, but lowers per capita income in rural areas, while employment has significant gains in private employment, total employment, and retail employment.  The gains in both income and employment erode overtime.

A Successful Population Policy: Potentials and Constraints (Distinguishedl Lecture)

1993 ◽  
Vol 32 (4I) ◽  
pp. 411-431
Author(s):  
Hans-Rimbert Hemmer
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Population Growth ◽  
Capita Income ◽  
Population Policy ◽  
Mortality Rates ◽  
Per Capita Income ◽  
Access To Health Services ◽  
Industrial Countries ◽  
Per Capita

The current rapid population growth in many developing countries is the result of an historical process in the course of which mortality rates have fallen significantly but birthrates have remained constant or fallen only slightly. Whereas, in industrial countries, the drop in mortality rates, triggered by improvements in nutrition and progress in medicine and hygiene, was a reaction to economic development, which ensured that despite the concomitant growth in population no economic difficulties arose (the gross national product (GNP) grew faster than the population so that per capita income (PCI) continued to rise), the drop in mortality rates to be observed in developing countries over the last 60 years has been the result of exogenous influences: to a large degree the developing countries have imported the advances made in industrial countries in the fields of medicine and hygiene. Thus, the drop in mortality rates has not been the product of economic development; rather, it has occurred in isolation from it, thereby leading to a rise in population unaccompanied by economic growth. Growth in GNP has not kept pace with population growth: as a result, per capita income in many developing countries has stagnated or fallen. Mortality rates in developing countries are still higher than those in industrial countries, but the gap is closing appreciably. Ultimately, this gap is not due to differences in medical or hygienic know-how but to economic bottlenecks (e.g. malnutrition, access to health services)

scholarly journals The Influence Of Mother’s Motivation And Preferences On Fish Consumption Behavior In Rural And Urban Families

2018 ◽  
Vol 3 (1) ◽  
pp. 39 ◽  
Author(s):  
Ririn Purnama Sari ◽  
Istiqlaliyah Muflikhati
Keyword(s):  
Family Size ◽  
Fish Consumption ◽  
Urban Areas ◽  
Capita Income ◽  
Linear Regression Analysis ◽  
Urban Families ◽  
Per Capita Income ◽  
Consumption Behavior ◽  
Rural And Urban ◽  
Per Capita

<pre>The aims of this study is to analyze the differences and the effects of mother’s motivation and preference on behavior of fish consumption in families in rural and urban areas. The research design which used was cross sectional study with purposive location selection in Duwet Village, Pekalongan Regency, and Kandang Panjang, Pekalongan City. The sample in this study is 100 families consisted of 50 families in rural areas and 50 families in urban areas. The results show that urban families prefer fresh sea fish, while rural families prefer pindang fish. The result of multiple linear regression analysis showed that factors affecting the fish consumption behavior of rural family is family size, and per capita income, while fish consumption behavior of urban family  influenced by family size, per capita income, and preference.</pre>

INFRASTRUCTURE DEVELOPMENT IN MAJOR INDIAN STATES

Paradigm ◽  
1997 ◽  
Vol 1 (1) ◽  
pp. 119-124
Author(s):  
P.V. Rajeev
Keyword(s):  
Economic Development ◽  
Capita Income ◽  
Infrastructure Development ◽  
Per Capita Income ◽  
Indian States ◽  
Per Capita ◽  
Different Parts

Infrastructure bottlenecks may impose severe constraints on the process of economic development in India. The pattern of infrastructure development has not been uniform in different parts of the country. In this paper an attempt is made to study the extent of disparities that exist in infrastructure development in major states in India. It has been found that States with higher per capita income are also the ones where better progress has been achieved in infrastructure development.

scholarly journals Vietnam at the crossroads – An analysis and draft for reform of the Vietnamese economy

2011 ◽  
Vol 1 (1) ◽  
Author(s):  
Herr Hansjörg ◽  
Stachuletz Rainer
Keyword(s):  
Urban Areas ◽  
Capita Income ◽  
Poverty Rate ◽  
Gdp Growth ◽  
Per Capita Income ◽  
Rural And Urban Areas ◽  
Doi Moi ◽  
Real Gdp ◽  
Rural And Urban ◽  
Per Capita

As the result of the “Doi-Moi” reform policy, Vietnam has experienced a remarkable phase of growth since 1986. In this period the Gross Domestic Product (GDP) quadrupled. Since the population of Vietnam (about 88.5 million people in 2010) is currently growing by more than one million people annually, the increase in per capita income lags behind GDP growth, but still reached 2900 U.S. dollars in 2009,which ranks 1652 in the world (see Table 1). In order to prevent its per capita income from falling off because of this huge increase in population growth, Vietnam needs a real GDP growth of over 5%. Although the poverty rate was decreased from 58% to 13% between 2003 and 2008, considerable regional disparities especially between rural and urban areas continue to persist.

scholarly journals Economic Development

2019 ◽  
Author(s):  
Karima Muthmaina
Keyword(s):  
Economic Development ◽  
Human Resources ◽  
Population Growth ◽  
Human Development ◽  
Capita Income ◽  
Economic Structure ◽  
Per Capita Income ◽  
Total Income ◽  
Development Indicators ◽  
Per Capita

Economic Development is a process of increasing total income and income per capita by contributing to population growth and fundamental changes in the economic structure of a country and income ranking for the population of a country. Indonesia's development should be for the development of Indonesia's human resources, so that the use of per capita income indicators is not only an indicator of the success of Indonesia's development. Regarding the matters in question above, the use of Human Development Indicators (HDI) becomes relevant.

scholarly journals ZAKAT AND ECONOMIC DEVELOPMENT: STUDY IN THREE MUSLIM COUNTRIES IN SOUTHEAST ASIA

2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
An’im Kafabih ◽  
Setyo Tri Wahyudi
Keyword(s):  
Economic Development ◽  
Capita Income ◽  
Panel Data Analysis ◽  
Per Capita Income ◽  
Analysis Model ◽  
Muslim Countries ◽  
Model Study ◽  
Majority Population ◽  
Per Capita ◽  
Douglas Production Function

The objective of this study is to analyze the effect of zakat on per capita income as one indicator of economic development. The data is analyzed by Cobb-Douglas production function and panel data analysis model. Study findings show that zakat significantly and positively affect on per capita income. This study also found that compared to Foreign Direct Investment (FDI), most popular instrument of government to increase economic development, zakat has a greater coefficient. In addition, Muslims as a majority population on average unable to contribute significantly to economic development. However, they could contribute to zakat as seen from increase in amount of zakat collection.

scholarly journals Income and Unemployment Are Associated with Proportion of Baby-Friendly Hospital Initiative Facilities in US States (OR30-01-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sara Benjamin-Neelon ◽  
Sarah Gonzalez-Nahm ◽  
Brian Neelon
Keyword(s):  
Low Income ◽  
Capita Income ◽  
Census Data ◽  
Newborn Infants ◽  
State Level ◽  
Baby Friendly Hospital Initiative ◽  
Per Capita Income ◽  
American Hospital ◽  
Us States ◽  
Per Capita

Abstract Objectives The Baby-Friendly Hospital Initiative (BFHI) is a global effort designed to enhance the health of mothers and their newborn infants by protecting, promoting, and supporting breastfeeding. Evidence has shown that BFHI hospitals can help reduce disparities in breastfeeding rates—especially in low-income communities. We aimed to evaluate the geographic distribution of BFHI hospitals, considering the socioeconomic factors of income and unemployment in the US. Methods We considered all hospitals within each state. We categorized hospitals as having the BFHI designation (“established”), being on the formal path to obtaining this designation (“emerging”), and not having the designation. We obtained a list of hospitals from the American Hospital Association's annual survey and information on BFHI designation from Baby-Friendly USA. We further obtained state-level employment and income information from census data and ranked states into quintiles for each variable. We then conducted separate one-way analysis of variance tests to compare the mean % of BFHI hospitals and mean state-level 1) per capita income, and 2) unemployment rates separated into quintiles. We examined all BFHI hospitals that were established and emerging separately. Finally, we created maps using ArcGIS, overlaying the location of all hospitals on the socioeconomic data. Results Our sample included 2,589 hospitals from all US states and the District of Columbia. Of those, 519 were established BFHI hospitals (Figure 1) and 298 were emerging (Figure 2). We found that higher unemployment was associated with a greater percentage of emerging but not established BFHI hospitals were present in states in the highest quintile for unemployment (P = 0.01). Similarly for income, we observed a greater percentage of emerging BFHI hospitals in states with both the lowest and highest quintiles of per-capita income (P = 0.003). Conclusions Emerging BFHI hospitals were present at a higher percentage in states in the highest quintile for unemployment and the lowest quintile for income. These emerging hospitals are on the pathway to achieving the BFHI designation, which may ultimately help reduce socioeconomic disparities in breastfeeding. Interestingly, states in the highest quintile for income also had a high percentage of emerging BFHI hospitals. Funding Sources W.K. Kellogg Foundation. Supporting Tables, Images and/or Graphs

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