scholarly journals Probability of Paying Zakat from Micro financing Project Returns

ETIKONOMI ◽  
2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Jarita Duasa ◽  
Nur Hidayah Zainal
Keyword(s):  
Higher Education ◽  
Logistic Regression ◽  
Capita Income ◽  
Education Level ◽  
Household Size ◽  
Descriptive Statistics ◽  
Per Capita Income ◽  
Convenience Sampling ◽  
Per Capita ◽  
Low Educated

The study aims to investigate the probability of paying zakat among participants or recipients of micro-finance scheme of Amanah Ikhtiar Malaysia. A survey is conducted on participants of Amanah Ikhtiar Malaysia scheme using convenience sampling in Perak and Kelantan. Data from the survey are analyzed using descriptive statistics and logistic regression. The results show that higher probability of paying zakat among respondents determined by small household size, lower per capita income, higher education level and those living in Perak. Thus, efforts should be taken by zakat institutions to well develop good and efficient methods of zakat collection among the participants specifically among low educated and higher income/return of the projects.JEL Classification: C31, C83, D64, I39, G23How to Cite:Duasa, J., & Zainal, N. H. (2020). Probability of Paying Zakat from Micro Financing Project Return. Etikonomi: Jurnal Ekonomi, 19(2), xx – xx. https://doi.org/10.15408/etk.v19i2.15113.

scholarly journals Determinants of household income of micro-finance women participants: a quantile regression approach

2020 ◽  
Vol 1 (1) ◽  
pp. 63-74
Author(s):  
Jarita Duasa ◽  
Nur Hidayah Zainal
Keyword(s):  
Quantile Regression ◽  
Capita Income ◽  
Per Capita Income ◽  
Content Type ◽  
Income Distributions ◽  
Asset Value ◽  
Regression Approach ◽  
Convenience Sampling ◽  
Per Capita ◽  
The Impact

Purpose The purpose of this study is to adopt quantile regression to investigate the impact of several factors on per capita income of participants of micro-financing scheme (Amanah Ikhtiar Malaysia [AIM]), who are mostly women at different point on the income distributions. Design/methodology/approach This study uses data collected from a survey on respondents who are the participants of AIM program using convenience sampling in Perak and Kelantan. Findings The empirical results show that the value of asset, value of loan, household size, ratio of spending to income and dummy state are consistently giving similar impacts on per capita income of participants at different quantiles. Originality/value However, age negatively and significantly affects per capita income only at middle and lower quantiles but not at higher quantile of per capita income.

scholarly journals Per-capita income versus household-need adjusted income: a cross-country comparison

2009 ◽  
pp. 11
Author(s):  
Christos Koulovatianos ◽  
Polina Minkovski ◽  
Carsten Schröder
Keyword(s):  
Capita Income ◽  
Household Size ◽  
Disposable Income ◽  
Per Capita Income ◽  
Demographic Trend ◽  
Country Comparison ◽  
Per Capita ◽  
Cross Country ◽  
Over Time

We use data from the Luxembourg Income Study in order to quantify the economy-wide monetary gains achieved by Household-Size Economies, due to the within-household sharing of goods by individuals living in multi-member households. In most of the twenty countries we examine, we observe a decline in monetary gains achieved by Household-Size Economies over time. This decline is the result of a demographic trend towards smaller-sized household units, rather than a change in the shares of aggregate disposable income earned by household types of different size.

A 'melanoma mortality belt' of ten U.S. states with the highest melanoma mortality rates.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e21039-e21039
Author(s):  
Alan Geller ◽  
Juliana Berk-Krauss ◽  
David Polsky ◽  
Jennifer Stein
Keyword(s):  
United States ◽  
Unemployment Rate ◽  
Capita Income ◽  
Mortality Rates ◽  
Education Level ◽  
Median Income ◽  
Per Capita Income ◽  
Central United States ◽  
Per Capita ◽  
Melanoma Mortality

e21039 Background: To our knowledge, no study has looked at U.S. melanoma mortality trends by state. We sought to determine the ten states with the highest melanoma mortality rates (per white population) and those with the lowest, as well as any state-wide demographics that could account for these trends. Methods: State melanoma mortality rates were collected from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program and National Program for Cancer Registries. Data on state characteristics were collectied from the Area Health Resource File (AHRF) and the US Census Bureau. We used a regression model to determine associations between melanoma mortality and the state demographic context, such as median income, per capita income, unemployment rate, education level, and rural versus nonrural. We also examined the effect of access to health care resources by looking at density of dermatologists, density of primary care providers, and total number of hospitals. Results: We identified ten states concentrated across the central United States with the highest melanoma mortality rates. Per capita income was the only significant association for melanoma mortality rates (p = 0.0016, 95% CI 6.88 to 18.09). Median income, unemployment rate, education level, rural versus non-rural, health professional density, and unemployment rate were not associated with melanoma mortality rates by state. Conclusions: There exists a ‘melanoma mortality belt’ across the central United States made up of the ten states with the highest melanoma mortality rates. This trend could not be consistently accounted for by state demographics, even socioeconomic status traditionally thought to correlate with mortality. Only one significant association was seen between melanoma mortality rate and per capita income. Our preliminary findings highlight the multifactorial picture of geographic melanoma mortality inequalities in the U.S.

The Problem of Agricultural Taxation in West Pakistan and an Alternative Solution: A Comment (Notes & Comments)

1973 ◽  
Vol 12 (4) ◽  
pp. 433-437
Author(s):  
Sarfaraz Khan Qureshi
Keyword(s):  
Capita Income ◽  
Agricultural Sector ◽  
Central Government ◽  
Policy Implications ◽  
Farm Size ◽  
Per Capita Income ◽  
Tax Rate ◽  
Water Rate ◽  
Per Capita ◽  
The Government

In the Summer 1973 issue of the Pakistan Development Review, Mr. Mohammad Ghaffar Chaudhry [1] has dealt with two very important issues relating to the intersectoral tax equity and the intrasectoral tax equity within the agricultural sector in Pakistan. Using a simple criterion for vertical tax equity that implies that the tax rate rises with per capita income such that the ratio of revenue to income rises at the same percentage rate as per capita income, Mr. Chaudhry found that the agricultural sector is overtaxed in Pakistan. Mr. Chaudhry further found that the land tax is a regressive levy with respect to the farm size. Both findings, if valid, have important policy implications. In this note we argue that the validity of the findings on intersectoral tax equity depends on the treatment of water rate as tax rather than the price of a service provided by the Government and on the shifting assumptions regard¬ing the indirect taxes on imports and domestic production levied by the Central Government. The relevance of the findings on the intrasectoral tax burden would have been more obvious if the tax liability was related to income from land per capita.

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)

Income-Based Poverty among Non-Farm Households in Rural Punjab

2020 ◽  
pp. 204-210
Keyword(s):  
World Bank ◽  
Capita Income ◽  
Poverty Line ◽  
Farm Households ◽  
Farm Household ◽  
Expert Group ◽  
Per Capita Income ◽  
Service Category ◽  
Self Employment ◽  
Per Capita

This paper focuses upon the magnitude of income-based poverty among non-farm households in rural Punjab. Based on the primary survey, a sample of 440 rural non-farm households were taken from 44 sampled villages located in all 22 districts of Punjab.The poverty was estimated on the basis of income level. For measuring poverty, various methods/criteria (Expert Group Criteria, World Bank Method and State Per Capita Income Criterion) were used. On the basis of Expert Group Income criterion, overall, less than one-third of the persons of rural non-farm household categories are observed to be poor. On the basis, 40 percent State Per Capita Income Criteria, around three-fourth of the persons of all rural non-farm household categories are falling underneath poverty line. Similarly, the occurrence of the poverty, on the basis of 50 percent State Per Capita Income Criteria, showed that nearly four-fifths of the persons are considered to be poor. As per World Bank’s $ 1.90 per day, overall, less than one-fifth of rural non-farm household persons are poor. Slightly, less than one-fourth of the persons are belonging to self-employment category, while, slightly, less than one-tenth falling in-service category. On the basis of $ 3.10 per day criteria, overall, less than two-fifth persons of all rural non-farm household categories were living below the poverty line.

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