scholarly journals Poverty Situation of Cocoa Smallholders and Its Determinant in West Sulawesi, Indonesia

2017 ◽  
Vol 5 (1) ◽  
pp. 84
Author(s):  
Nurlaela Nurlaela ◽  
Muhammad Arafat Abdullah

Poverty of cocoa smallhoders is still identifed as a serious issue in Indonesia. The general specific objectives of the research is to calculate the percentage of cocoa smallholders are living below the Provincial Poverty Line and identifying determinant affects poverty of smallholders. The research employed Head Count Index and Path Analysis. Results show that the percentage of cocoa farmers living below Poverty Line reached 65% in the province. Determinant factors affects poverty situation is education attainment of family member, access to price information, cocoa estate area, distance to school. It suggests that in order to reduce poverty of cocoa farmers need to improve children and education attainment, making school is more closer to the farmers community and develop cocoa estate area and connecting price information to the farmers.

2018 ◽  
Vol 21 (1) ◽  
pp. 1-4
Author(s):  
Krishna Prasad Acharya

This study focuses on the Poverty Profile by type of house of Households in Nepal among 5,988 households of Nepal. It is based on the Nepal Living Standards Survey-III 2010/11 cross-sectional data. The data were used to analyze descriptive statistics including poverty profiles. The FGT poverty index (index proposed by Foster, Greer and Thorbecke) is employed to examine the head count rate or poverty incidence, poverty gap and severity poverty of Nepal. It reveals that 25.2% of the sample households live below the poverty line (Rs.19261 per individual per year) with an average poverty gap and squared poverty gap of 5.43% and 1.81 % respectively. Households living in Pakki and Non-Pakki houses are 0.8 and 52.4 percent average poor and 0.2 and 1.7 percent core poor respectively.


2016 ◽  
Vol 1 (1) ◽  
pp. 17-35 ◽  
Author(s):  
Salman Ahmed Shaikh

This study estimates potential Zakat collectible in 17 member countries of the Organization of Islamic Cooperation (OIC). In our estimation, we found that the zakat to GDP ratio exceeds the poverty gap index to GDP (PGI-GDP) ratio in all but 3 countries, with poverty line defined at $1.25 a day. We also found that the zakat to GDP ratio exceeds the PGI-GDP ratio, except in 4 countries with poverty line defined at $2.00 a day. We also compared zakat to GDP ratio against poverty headcount ratio. According to our estimates, the Zakat to GDP ratio exceeds the poverty head count ratio to GDP (PHCR-GDP), except in 5 countries with poverty line defined at $1.25 a day. We also found that zakat to GDP ratio exceeds PHCR-GDP ratio except in 7 countries, with poverty line defined at $2.00 a day. Thus, the institution of Zakat has ample potential to contribute towards the alleviation of poverty. Lastly, we show that the aggregate resources pooled together from the potential Zakat collection in 17 OIC countries will be enough to fund resources for poverty alleviation in all 17 OIC countries combined. Keywords: Zakat, Fiscal Policy, Poverty, Redistribution


2019 ◽  
Vol 2 (2) ◽  
pp. 101-120 ◽  
Author(s):  
Arief Tukiman Hendrawijaya

The study analyzes the effect of age, education, gender, experience, and the number of family members on the interest to be an entrepreneur and entrepreneurial decision. In addition, the study tests whether the interest to be an entrepreneur mediates the effect of age, education, gender, experience, and family number on the decision to be an entrepreneur. The population of the study are the street vendors in the Jember downtown. The samples consist of 192 respondents. This research uses the path analysis to determine the direct and indirect effects. The results show that age, education, gender, experience, and the number of family member have positive and significant effects on interest and the decision to become an entrepreneur. Interest mediates the effect of age, education, gender, experience, and the number of family member on the decision to become an entrepreneur.


2016 ◽  
Vol 10 (2) ◽  
pp. 97
Author(s):  
Parlaungan Adil Rangkuti ◽  
Amiruddin Saleh

The objectives of this research were (1) to explain VUC organization communication factors which<br />are the key in improving the VUC performance, (2) to explain VUC organization communication<br />factors that become the key in developing the VUC capacity, and (3) to formulate defined strategy<br />in improving the VUC quality service as the agricultural economic organization for agricultural<br />mechanization development. Active category of VUC sample as analysis unit was determined<br />by each of five VUC samples at Karawang and Cianjur District. From each VUC sample, thirty<br />respondents that use rice milling of VUC, were taken. This research was designed using survey<br />method with multi analysis approaches, they were: descriptive analysis and path analysis using<br />SEM (Structural Equation Model) analysis with LISREL analysis support. The primer and<br />secondary data were collected from December 2009 to March 2010. The result of this research<br />showed that (1) according to the similarity test model referring to the goodness of fit criteria<br />from SEM analysis showed that VUC organization communication model is good, (2) level of<br />performance, capacity, and quality of VUC service at Karawang and Cianjur District classified<br />as low,(3) determinant factors which have real influence on the low performance and capacity<br />of VUC are low quality of information, inconvenient organization communication environment,<br />and low intensity of public organization communication, (4) determinant factors which have real<br />influence on the low quality of VUC service are low quality of VUC personnel characteristic<br />and weak VUC organization communication process, and (5) improvement strategy of VUC<br />quality service should be done by developing VUC organization communication model through<br />agricultural information system development in the centers of agriculture production in each<br />rural area towards modern agriculture.


2016 ◽  
Vol 1 (2) ◽  
pp. 142-202 ◽  
Author(s):  
Sanjay K. Mohanty ◽  
Dipti Govil ◽  
Rajesh K. Chauhan ◽  
Rockli Kim ◽  
S.V. Subramanian

Though the Census of India and large-scale demographic surveys have bridged the data gap on key demographic and health parameters, estimates on poverty and inequality remain deficient for the districts of India. The estimates on poverty and inequality indices across the states of India conceal large variations among districts. We use an innovative approach to provide consumption-based estimates of poverty and inequality indices in the districts of India by pooling the 66th and 68th rounds of consumption expenditure carried out by the National Sample Survey. The new official poverty line of 2009–2010 and 2011–2012 as recommended by the Rangarajan Committee and adopted by the Government of India is used in the estimation of poverty. A set of poverty and inequality indices, the poverty head count ratio, poverty gap square, the Gini index, Theil index and mean log deviation (MLD) are used to estimate poverty and inequality indices for 623 of the 640 districts in India. Estimates of poverty are obtained by pooling the estimates of 2009-10 and 2011-12. Results suggest wide variations in the level, depth and incidence of poverty among the districts of India irrespective of size, stage and governance in the states. The pattern of inequality is different from that of poverty; it is higher in districts with a higher level of development. Estimates of poverty are consistently correlated with wealth index, agricultural labour and female literacy. Among various factors, the fertility level, wealth index and the proportion of agricultural worker are significant predictors of poverty. Based on the findings, we suggest to increase the sample size to estimate consumption poverty in every alternate quinquennial survey and undertake a special round of survey in multidimensional poverty. Districts ranked low in poverty head count ratio should be accorded high priority in planning and program implementation.


Author(s):  
Lea Achdut ◽  
Orit Kristal

International comparisons of poverty are traditionally based on the head count and poverty gap ratios. Using the Luxembourg Income Study (LIS) microdata, the present paper extends the comparative measurement of poverty to utilize alternative measures which take account not only of the “width” and the “depth” of poverty but of the income distribution among the poor as well (Sen, 1976; Kakwani, 1980; Foster, 1984). It is found that given any poverty line these three measures yield a completely different ranking from the traditional head count and poverty gap ratios. Also, whereas the traditional two measures lead to contradicting rankings, the alternative measures register (with only few exceptions) the same ranking. In spite of the fact that the ranking of countries by all the poverty measures examined is not preserved under alternative poverty lines, considerably fewer rerankings occur with respect to the measures which incorporate all three poverty dimensions.


2019 ◽  
Vol 22 (2) ◽  
pp. 7-10
Author(s):  
Krishna Prasad Acharya

 This study focuses on the Poverty Profile by type of house of Households in Nepal among 5,988 households of Nepal. It is based on the Nepal Living Standards Survey-III 2010/11 cross-sectional data. The data were used to analyze descriptive statistics including poverty profiles. The FGT poverty index (index proposed by Foster, Greer and Thorbecke) is employed to examine the head count rate or poverty incidence, poverty gap and severity poverty of Nepal. It reveals that 25.2% of the sample households live below the poverty line (Rs.19261 per individual per year) with an average poverty gap and squared poverty gap of 5.43% and 1.81 % respectively. Households living in Pakki and Non-Pakki houses are 0.8 and 52.4 percent average poor and 0.2 and 1.7 percent core poor respectively.


2019 ◽  
Vol 22 (1) ◽  
pp. 7-10
Author(s):  
Krishna Prasad Acharya

 This study focuses on the Poverty Profile by type of house of Households in Nepal among 5,988 households of Nepal. It is based on the Nepal Living Standards Survey-III 2010/11 cross-sectional data. The data were used to analyze descriptive statistics including poverty profiles. The FGT poverty index (index proposed by Foster, Greer and Thorbecke) is employed to examine the head count rate or poverty incidence, poverty gap and severity poverty of Nepal. It reveals that 25.2% of the sample households live below the poverty line (Rs.19261 per individual per year) with an average poverty gap and squared poverty gap of 5.43% and 1.81 % respectively. Households living in Pakki and Non-Pakki houses are 0.8 and 52.4 percent average poor and 0.2 and 1.7 percent core poor respectively.


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