scholarly journals Inequality, Poverty, and the Intra-Household Allocation of Consumption in Senegal

Author(s):  
Philippe De Vreyer ◽  
Sylvie Lambert

Abstract Intra-household inequalities have long been a source of concern for policy design, but there is very little evidence about their effects. The current practice of ignoring inequality within households could lead to an underestimation of both overall inequality and poverty levels, as well as to the misclassification of some individuals with regard to their poverty status. Using a novel survey for Senegal in which consumption data were collected at a disaggregated level, this paper quantifies these various effects. In total, two opposing effects, one on mean and one on inequality, compensate each other in terms of the overall poverty rate, but individual poverty statuses are affected. Intra-household consumption inequalities account for 14 percent of inequality in Senegal. This study has also uncovered the fact that household structure and organization are key correlates of intra-household inequality and individual risk of poverty.

2021 ◽  
Vol 4 (1) ◽  
pp. 25-31
Author(s):  
Rohmatul Janah ◽  
Ida Nuraini

This research is aimed at studying the influence of medium and large industries on poverty levels in Gresik on 2002-2016. The variables used in this study is medium and large industries, a labour of medium and large industries, gross regional domestic product (GRDP) of industrial sector and poverty rate. The method used in this study used multiple linear regression and used time-series data. The results of this study simultaneously are the variables of the amount of medium and large industries, the labour medium and large industries, and the gross regional domestic product (GRDP) of the industrial sector to poverty rate is significant. While medium and large industries to poverty rate have negative and insignificant effect with a coefficient value of -0,208905. The labour of medium and large industries to poverty rate has a positive and significant effect with a coefficient value of 0,130822,  the gross regional domestic product (GRDP) of industrial to poverty rate has a negative and significant effect with a coefficient value of -0,169431.


Author(s):  
Made Krisna Kalpika Sunu ◽  
Made Suyana Utama

The purpose of this study was to analyze the effect of village funds on the level of poverty and the welfare of the community in the regency / city of the Province of Bali. Village fund data was obtained from the Bali Province Community and Village Empowerment Service, while the poverty rate and Human Development Index were obtained from the Central Statistics Agency of Bali Province in 2015-2017. The data analysis technique used in this study is descriptive statistics and path analysis. The results of this study indicate that village funds have a negative and significant effect on poverty levels. This means that the higher the village fund, the lower the poverty rate. Village funds have a positive and significant effect on people's welfare. This means that the higher the village funds, the higher the welfare of the community in the area. The poverty level has a negative and significant effect on people's welfare, meaning that the higher the poverty level, the lower the welfare of the community


Media Ekonomi ◽  
2019 ◽  
Vol 26 (2) ◽  
pp. 77
Author(s):  
Sumiyarti Sumiyarti

<em>This study aims to determine the development of economic and social indicators, namely the rate of economic growth, regional development inequality and poverty levels in Banten Province, with the period 2002-2016. <em>This study used the cross-tabulation methods and correlation analysis in the provincial scope data. </em><em>The results of the analysis conducted concluded that the economic growth rate of Banten Province had a tendency to increase from 4.11 percent in 2002 and 5.28 percent in 2016. While the development inequality between regions in Banten Province as measured by the Williamson Index tended to decline in the 2002 period -2016. The fluctuating index of development inequality tended to decline from 0.57 in 2002 to 0.21 and again increased to 5.36 in 2016. The poverty rate in Banten Province also experienced a significant decline, from 9.22 percent in 2002 to 5, 36 percent in 2016. Furthermore, the results of the correlation analysis conducted provide the conclusion that the relationship between the variables of economic growth rates and the level of regional inequality and poverty is negative, with a weak level of relationship. While the correlation between the level of inequality and the level of poverty is positive with a strong level of relationship. In general, it was concluded that the development of the poverty rate in Banten Province corresponded or correlated with equitable development.</em></em>


2021 ◽  
Vol 10 (1) ◽  
pp. 11-18
Author(s):  
Yoga Amanda ◽  
Zamzami Zamzami ◽  
Selamet Rahmadi

This study aims to determine and analyze: 1). Changes that occur in capital expenditure, unemployment, and the number of poor people in Tebo Regency during 2004-2018, 2). Effect of capital expenditure and unemployment rates on poverty levels in Tebo Regency during 2004-2018. The data analysis method used in this study uses the formula of development and multiple linear regression. Based on the results of research during 2004- 2018 in Tebo Regency, the average capital expenditure increases 20.99 percent every year, the number of unemployed people has increased 28.57 percent every year and the average number of poor people has decreased 0, 42 percent every year. Capital expenditure and unemployment rate influence reducing the level of poverty in Tebo Regency during 2004-2018 with a regression coefficient value of capital expenditure and the unemployment rate which has a negative regression coefficient.  Keywords: Capital expenditure, Poverty rate, Unemployment rate


Author(s):  
Reni Putri Nurhidayati ◽  
Moses Pandin

Poverty is one of the indexes that can see how a country succeeds in development. In Indonesia, the poverty rate is high as the impact of the Covid-19 pandemic increases over time. Therefore, a solution is embraced in the form of government policies in tackling poverty in Indonesia. The purpose of this study is to analyze the poverty caused by the Covid-19 pandemic.What is the current state of poverty caused by the Covid-19 pandemic in Indonesia? and what are the previous government policies that have succeeded in reducing poverty in Indonesia? The method used in this study is the literature review method based on the results of critical analysis of journal articles that are relevant to the topic of discussion. The results showed that three government policies have succeeded in lowering the poverty level in Indonesia, namely the PKH program policy, the zakat policy as an indicator of poverty reduction, and the Bank Wakaf Mikro policy. Therefore, this study focuses on the policy as a study for government policy in lowering poverty levels due to the Covid-19 Pandemic.


Author(s):  
Dewi Permatasari

Tinjauan kemiskinan dari dimensi ekonomi ini diartikan sebagai ketidakmampuan seseorang untuk mendapatkan mata pencaharian yang mapan dan memberikan penghasilan yang layak untuk menunjang hidupnya secara berkesinambungan. Kemiskinan merupakan salah satu masalah yang menjadi pusat perhatian di negara manapun. Kemiskinan disebabkan oleh berbagai faktor, seperti tingkat investasi yang masih dibawah standar, tingkat pengangguran yang tinggi, dan pertumbuhan ekonomi yang lambat. Tujuan penelitian ini adalah menganalisis pengaruh inflasi terhadap pengangguran dan kemiskinan, dan pengaruh pengangguran terhadap kemiskinan di Provinsi Maluku Utara. Penelitian ini menggunakan data runtun waktu (time series) tahun 2013-2018 dan menggunakan analisis jalur (path analysis). Hasil penelitian menunjukkan bahwa inflasi berpengaruh positif terhadap tingkat pengangguran dan kemiskinan di Provinsi Maluku Utara. Kemudian, pengangguran juga berpengaruh positif terhadap tingkat kemiskinan. Semakin tinggi tingkat inflasi dan pengangguran semakin besar tingkat kemiskinan.Kata kunci: Inflasi, Pengangguran, dan Kemiskinan, Maluku Utara Poverty review from the economic dimensions is interpretedas the inability of a person to obtain an established livelihood and provided a decent income to sustainably support life. Poverty is problems that attention any country. Poverty is caused by various factors, such as low investment, high unemployment, and slow economic growth. The purpose of this study was to analyze the effect of inflation on unemployment and poverty, and the effect of unemployment on poverty in North Maluku Provience. This study uses time series data from 2013 to 2018, and path analysis. The results showed that inflation has a positive effect on increasing unemployment and poverty. High unemployment has a positive impact on poverty levels. The higher level of inflation and unemployment, the higher poverty rate in the North Maluku Provience. Keywords: Inflation, Unemployment, Poverty, North Maluku


Social Change ◽  
2019 ◽  
Vol 49 (2) ◽  
pp. 232-240
Author(s):  
Digvijay Kumar

The reduction in the official poverty rate seen in relation with increasing morbidity status, a mammoth income gap between the rich and the poor, ambiguous methodology followed to calculate Below Poverty Line Census and government policies on poverty reduction tends to question the whole poverty line debate. The official commitment to higher economic growth may reflect booming economic growth but it also has led to a large gap between the rich and the poor in both regional and social dimensions. To look into the causes and ameliorate poverty levels, various committees and policies have identified poverty levels. Using different criteria and methods, they still have failed to look at the social and political aspects. It is politics that has engulfed the whole discourse over universalisation of social welfare policies as some sort of justification behind the nation’s fiscal deficit and subsidy constraint-related questions.


Author(s):  
Shana Shi ◽  
Baoqing Hu ◽  
Yan Yan ◽  
Xiaoqing Li ◽  
Kaichun Zhou ◽  
...  

The karst area in northwestern Guangxi is poor, underdeveloped, and ecologically fragile. It is experiencing rocky desertification, which creates challenges that are more severe than those of other regional ecological environments. In this paper, the ecological footprint (EF) model is used to analyze the ecological carrying capacity (EC) in northwestern Guangxi from 1995 to 2015, and the differences in karst counties with different poverty levels are discussed. The results show that (1) since 1995, the EC of northwestern Guangxi has continued to decrease, the EF has continued to increase, the ecological deficit (ED) has been expanding, and the status of the region has been unsustainable for a long time. (2) The evolutionary patterns, EF and EC of karst counties with different poverty levels are different. The county with the lowest poverty rate has the fastest growth rate of the per capita EF. The county with the largest proportion of karst area has the lowest EC. (3) It is recommended that different types of counties take different measures, including strengthening ecological environment protection, carrying out rocky desertification control and ecological resettlement projects, and reducing energy consumption. This study can provide information for the sustainable development of the karst region and provide decision support for regional poverty alleviation.


2020 ◽  
Vol 18 (2) ◽  
pp. 95-104
Author(s):  
Imade Yoga Prasada ◽  
Tri Fatma Mala Yulhar ◽  
Tia Alfina Rosa

Poverty is currently a major problem that must be resolved in various regions in Indonesia, including areas in Java. Java Island is the island with the highest number of poor people compared to other islands in Indonesia. The aim of this study was to determine the determinants of poverty levels in Java and formulate policy recommendations that can be implied to overcome poverty. Research variables have used secondary data from six provinces in Java sourced from the Central Statistics Agency, namely poverty level data, Human Development Index (HDI), inflation rate data, open unemployment rate data, and Regional Minimum Wage data (UMR). The data was compiled into panel data and analyzed using OLS Model. The analysis showed that the determinants of poverty levels in Java were inflation rates, Human Development Index, Regional Minimum Wages, and open unemployment rates, so that all determinants need to be considered properly to formulate policy recommendations that able to overcome poverty in Java. 


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