The poverty rate has dropped in all regions

2018 ◽  
Keyword(s):  
Poverty Rate

Model Pemberdayaan Usaha Mikro Dan Pengaruhnya Terhadap Kemandirian Usaha

2015 ◽  
Vol 2 (1) ◽  
pp. 75-93
Author(s):  
Mudasetia Hamid ◽  
Evy Rosalina Widyayanti
Keyword(s):  
Human Resources ◽  
Small And Medium Enterprises ◽  
Poverty Rate ◽  
Cultural Centers ◽  
Central Java ◽  
Tourism Education ◽  
The Indian Ocean ◽  
Medium Enterprises ◽  
The City

Yogyakarta is a city and the capital of Yogyakarta Special Region in Java, Indonesia. It is renowned as a center of tourism, education and culture. Yogyakarta is one of the foremost cultural centers of Java. This region is located at the foot of the active merapi vulcano. Yogyakarta is often called the main gateway to the Central Java as where it is geographically located. It stretches from Mount Merapi to the Indian Ocean. This province is one of the most densely populated areas of Indonesia. Yogyakarta is popular tourist destination in indonesia after Bali. These have attracted large number of visitors from across Indonesia and abroad to the city. This status makes Yogyakarta is one of the most heterogeneus cities in Indonesia. In edition, Yogyakarta has attracted large number of people to reside in this city for business. One of these comers is small entrepreneurs with their market munchies enterprise (specially a traditional snack trader). This business is one of famous business in Yogyakarta, we will find rows of pavement vendors selling market munchies. The students and tourists are their main target customers. Market munchies enterprise is part of small and medium enterprises SMEs as livelihood activities. SMEs has an important role in economic growth of Indonesia. Therefore, it is very important to develop and strengthen the micro enterprise empowerment. Micro enterprise empowerment is one of strategy to reduce the poverty rate in Indonesia. Major challenger in implement this program are that micro entrepreneurs are conventional and have satisfied with their revenue. It is very important to develop a comprehensive and sustainable micro enterprise empowerment which consist of strengthen the quality of human resources, maximize the government’s roles, empower the enterprise capital and strengthen the partnership and autonomous. Micro enterprise autonomy will contribute to the economic and investment climate. This will lead to establish an accountable enterprise both for the micro enterprise and customers which at the end will strengthen the development of the micro enterprise in Yogyakarta.Keyword: micro entreprise, human resources, government roles, capital, partnership and autonomous.

On the Causes of Socio-Economic Inequality Reproduction: What Does Resources Approach Show?

2014 ◽  
pp. 144-160
Author(s):  
E. Avraamova ◽  
T. Maleva
Keyword(s):  
Social Dynamics ◽  
Economic Inequality ◽  
Poverty Rate ◽  
Economic Behavior ◽  
Sample Survey ◽  
Family Welfare ◽  
Rate Reduction ◽  
Rational Models ◽  
Information Database ◽  
Vertical Mobility

This paper presents an attempt at answering the question of why the scope of socio-economic inequality stays the same in Russia despite the poverty rate reduction. The authors are looking for the causes of this phenomenon in the domain of social dynamics, i.e., in the nature of current vertical mobility mechanisms. To study these mechanisms the authors use resources approach. The information database of the research is the representative sample survey carried by the Institute for Social Analysis and Forecasting at RANEPA in 2013. The majority of the respondents have, in fact, vague idea of general parameters of the economic development of the country and of their personal prospects to adapt to possible changes. This state of things hinders the development of rational models of socio-economic behavior directed towards the growth of personal and family welfare and productive in terms of national economy development - these, eventually, would advance the reduction of socio-economic inequality. Various groups of population are predominantly oriented towards converting social capital viewed not in terms of trust and solidarity, but in terms of ties or connections and of personal loyalty.

Estimates on poverty in Russia and the additional measures to reduce it at the regional level

2020 ◽  
Vol 18 (4) ◽  
pp. 739-752 ◽  
Author(s):  
R.M. Sadykov
Keyword(s):  
Poverty Rate ◽  
Regional Level ◽  
Living Standards ◽  
Standard Of Living ◽  
High Quality ◽  
Social Standard ◽  
Republic Of Bashkortostan ◽  
The Republic ◽  
Sociological Studies

Subject. This article deals with the issues of social justice and a high quality of life, creating favorable economic and social conditions. Objectives. The article aims to assess the rate and changes in poverty in Russia and the Republic of Bashkortostan and develop complementary measures to reduce it. Methods. For the study, I used the methods of logical, comparative, economic and statistical analyses, the results of sociological studies, and official statistics. Results. The article highlights additional measures to reduce poverty in the region, including the establishment of a minimum social standard of living in each particular region that determines the poverty rate. Conclusions. Various factors, such as economic sanctions, economic slowdowns, territorial and regional imbalances, lead to living standards decline and poverty rise.

THE POVERTY REDUCTION SOLUTIONS FOR ETHNIC MINORITIES IN THE NORTH EASTERN BORDER AREA USING THE MARKET ACCESS

2018 ◽  
Author(s):  
Phi Hung Cuong ◽  
Vu Van Anh
Keyword(s):  
Ethnic Minorities ◽  
Poverty Reduction ◽  
Market Access ◽  
Poverty Rate ◽  
Living Standards ◽  
Mountainous Areas ◽  
Important Indicator ◽  
The North ◽  
North Eastern ◽  
Eastern Border

Income is an important indicator for assessing the level of economy development as well as identifying and assessing living standards. The population in Northeast border is poor, facilities are outdated, people’s life is difficult, but it hold great potentials for economic development. However, the region’s biggest challenge today is low living standards and high poverty rate. Differences in income and living standards across regions and strata tend to increase the gap. The sustainability of the trend of income increase and improvement of living standards of the population is not stable. As a result, the development of mountainous areas is dependent on poverty reduction solutions for ethnic minorities through the increase of incomes and improvement of market connectivity for ethnic minorities in mountainous areas.

Remittance and Economic Development of Nepal

Patan Pragya ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 196-208
Author(s):  
Badri Narayan Sah
Keyword(s):  
Economic Development ◽  
Household Income ◽  
Poverty Reduction ◽  
Economic Status ◽  
Poverty Rate ◽  
Daily Consumption ◽  
Gulf Countries ◽  
The World ◽  
Internal Sources ◽  
Sources Of Capital

Nepal is one of the least developed but high remittances recipient countries in the world. Nepal received remittance from US$ 8.1 billion in 2016 and it is ranked 23rd among the remittance receiving countries in the world. Remittance income is one of the major sources of capital formation in the context of Nepal. It is directly related with the labour migration in a country which in return enhances foreign employment. Remittances have become a major contributing factor to increasing household income as well as country’s GDP. About 30 percent of Nepal’s GDP comes in the form of remittance money which is sent home by Nepalese working abroad and it helps to reduce country’s poverty rate. Poverty reduction took place in Nepal from 42 percent (1995/96) to 25.2 percent (2010/11). Nepal’s remittance recipients reached 31.5 percent GDP in 2015. The total amount of remittance in the country is 259 billion and among which 20 percent is internal sources, 11 percent from India and 69 percent from Gulf countries. Remittance received by the households is mainly used for daily consumption (79 percent) and remaining other purposes. Moreover, Nepal’s economic status mostly depends on remittance received which is therefore migration driven economy.

scholarly journals Predictors of historical change in drug treatment coverage among people who inject drugs in 90 large metropolitan areas in the USA, 1993–2007

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Barbara Tempalski ◽  
Leslie D. Williams ◽  
Brooke S. West ◽  
Hannah L. F. Cooper ◽  
Stephanie Beane ◽  
...  
Keyword(s):  
Public Health ◽  
Drug Treatment ◽  
Resource Availability ◽  
People Who Inject Drugs ◽  
Census Data ◽  
Poverty Rate ◽  
Community Action ◽  
Historical Change ◽  
Treatment Coverage ◽  
Over Time

Abstract Background Adequate access to effective treatment and medication assisted therapies for opioid dependence has led to improved antiretroviral therapy adherence and decreases in morbidity among people who inject drugs (PWID), and can also address a broad range of social and public health problems. However, even with the success of syringe service programs and opioid substitution programs in European countries (and others) the US remains historically low in terms of coverage and access with regard to these programs. This manuscript investigates predictors of historical change in drug treatment coverage for PWID in 90 US metropolitan statistical areas (MSAs) during 1993–2007, a period in which, overall coverage did not change. Methods Drug treatment coverage was measured as the number of PWID in drug treatment, as calculated by treatment entry and census data, divided by numbers of PWID in each MSA. Variables suggested by the Theory of Community Action (i.e., need, resource availability, institutional opposition, organized support, and service symbiosis) were analyzed using mixed-effects multivariate models within dependent variables lagged in time to study predictors of later change in coverage. Results Mean coverage was low in 1993 (6.7%; SD 3.7), and did not increase by 2007 (6.4%; SD 4.5). Multivariate results indicate that increases in baseline unemployment rate (β = 0.312; pseudo-p < 0.0002) predict significantly higher treatment coverage; baseline poverty rate (β = − 0.486; pseudo-p < 0.0001), and baseline size of public health and social work workforce (β = 0.425; pseudo-p < 0.0001) were predictors of later mean coverage levels, and baseline HIV prevalence among PWID predicted variation in treatment coverage trajectories over time (baseline HIV * Time: β = 0.039; pseudo-p < 0.001). Finally, increases in black/white poverty disparity from baseline predicted significantly higher treatment coverage in MSAs (β = 1.269; pseudo-p < 0.0001). Conclusions While harm reduction programs have historically been contested and difficult to implement in many US communities, and despite efforts to increase treatment coverage for PWID, coverage has not increased. Contrary to our hypothesis, epidemiologic need, seems not to be associated with change in treatment coverage over time. Resource availability and institutional opposition are important predictors of change over time in coverage. These findings suggest that new ways have to be found to increase drug treatment coverage in spite of economic changes and belt-tightening policy changes that will make this difficult.

scholarly journals Temporal and geographic analysis of trichinellosis incidence in Chile with risk assessment

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Carlos Landaeta-Aqueveque ◽  
Salvador Ayala ◽  
Denis Poblete-Toledo ◽  
Mauricio Canals
Keyword(s):  
Relative Risk ◽  
Poverty Rate ◽  
Incidence Rates ◽  
Temporal Data ◽  
Rate Fluctuation ◽  
High Incidence ◽  
Domestic Cycle ◽  
Model Residuals ◽  
Free Ranging ◽  
Spearman’S Correlation

AbstractTrichinellosis is a foodborne disease caused by several Trichinella species around the world. In Chile, the domestic cycle was fairly well-studied in previous decades, but has been neglected in recent years. The aims of this study were to analyze, geographically, the incidence of trichinellosis in Chile to assess the relative risk and to analyze the incidence rate fluctuation in the last decades. Using temporal data spanning 1964–2019, as well as geographical data from 2010 to 2019, the time series of cases was analyzed with ARIMA models to explore trends and periodicity. The Dickey-Fuller test was used to study trends, and the Portmanteau test was used to study white noise in the model residuals. The Besag-York-Mollie (BYM) model was used to create Bayesian maps of the level of risk relative to that expected by the overall population. The association of the relative risk with the number of farmed swine was assessed with Spearman’s correlation. The number of annual cases varied between 5 and 220 (mean: 65.13); the annual rate of reported cases varied between 0.03 and 1.9 cases per 105 inhabitants (mean: 0.53). The cases of trichinellosis in Chile showed a downward trend that has become more evident since the 1980s. No periodicities were detected via the autocorrelation function. Communes (the smallest geographical administrative subdivision) with high incidence rates and high relative risk were mostly observed in the Araucanía region. The relative risk of the commune was significantly associated with the number of farmed pigs and boar (Sus scrofa Linnaeus, 1758). The results allowed us to state that trichinellosis is not a (re)emerging disease in Chile, but the severe economic poverty rate of the Mapuche Indigenous peoples and the high number of backyard and free-ranging pigs seem to be associated with the high risk of trichinellosis in the Araucanía region.

scholarly journals Effectiveness of Government Policies in Controlling COVID-19 in India

2020 ◽  
pp. 002073142098374
Author(s):  
Ashutosh Pandey ◽  
Nitin Kishore Saxena
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Urban Population ◽  
Demographic Factors ◽  
Poverty Rate ◽  
Government Policies ◽  
Cumulative Number ◽  
Population Number

The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19. The study hypothesizes that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons older than 50, population density, and poverty rate. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period [Formula: see text] as a dependent variable and demographic factors as an independent variable. The policy effectiveness indicator is calculated by taking the difference of the COVID rank of the [Formula: see text]th state based on the predicted model and the actual COVID rank of the [Formula: see text]th state[Formula: see text]Our study finds that the urban population significantly impacts the spread of COVID-19. On the other hand, demographic factors such as rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus, people residing in urban areas face a significant threat of COVID-19 as compared to people in rural areas.

scholarly journals The Neighborhood Effects of a Place-Based Policy—Causal Evidence from Atlanta’s Economic Development Priority Areas

2021 ◽  
Vol 13 (12) ◽  
pp. 6808
Author(s):  
Yuxi Luo ◽  
Zhaohua Zhang ◽  
Jun Zheng ◽  
Diane Hite
Keyword(s):  
Economic Development ◽  
Low Income ◽  
Neighborhood Effects ◽  
Economic Status ◽  
Housing Prices ◽  
Labor Demand ◽  
Housing Price ◽  
Poverty Rate ◽  
Priority Areas ◽  
Positive Effects

Place-based policies refer to government efforts to enhance the economic performance of an area within its jurisdiction. Applying various difference in differences strategies, this study evaluates the neighborhood effects of a place-based policy—the Economic Development Priority Areas (EDPA) of Atlanta, Georgia, USA. Since the census block groups are locally defined and the boundaries may change over time, we defined the neighborhoods by creating a set of 0.25-mile- diameter circles evenly distributed across Atlanta, and used the created buffers as the comparison unit. The empirical estimates showed that EDPA designation significantly reduced poverty rate and increased housing price of EDPA neighborhoods but had no beneficial effects on population size and employment rate. The heterogeneous analysis with respect to different initial economic status of the neighborhoods showed a relative larger and significant effect of EDPA designation on low-income neighborhoods. The increasing labor demand induced by EDPA designation in low-income neighborhoods attracted more population to migrate in and put upward pressure on housing prices. The estimation results are robust when replacing the 0.25-mile-diameter circle neighborhoods with 0.5-mile-diameter circle neighborhoods. Although we found some positive effects of the EDPA program in Atlanta, it would be misguided to assume similar effects occur in other areas implementing place-based policies.

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