scholarly journals Karakterisasi parameter model prediksi untuk eleviasi dari perangkap kemiskinan melalui intervensi kebijakan fiskal

2014 ◽  
Vol 27 (2) ◽  
pp. 65
Author(s):  
Agus Setiawan ◽  
S Bakri ◽  
A Effendi ◽  
I Nurhaida
Keyword(s):  
Social Capital ◽  
Probability Model ◽  
Buffer Zone ◽  
Qualitative Probability ◽  
Fuel Prices ◽  
Family Head ◽  
Cash Assistance ◽  
Poor Households ◽  
Productive Assets ◽  
The Impact

The purpose of this study was to develop a model of poverty eleviation in the buffer zone of National Park through the optimization of the impact of the fuel subsidiary reallocation (BLT), statrted from April to October 2013 in three villages which representent ethnic culture in Lampung, Java, and the mixture of both, selecting 50 poor households (RTM) who received BLT (direct cash assistance) in 2005. In-depth interview was conducted to capture the economy performance of each household. Qualitative probability model was applied to the response variable (Yi) that were scored 1 for those have been exited from the poverty and scored 0 if not yet. The predictor variables used (Xij) including: fuel prices (Rp/liter), total of BLT (Rp), demographics (age, sex, family head education, as well as the number of dependents), the value of productive assets (Rp million/household), revenue from damar resin, and other sources (Rp million/household), access to public services, the distance to the border of BBSNP, the availlability of PNPM (national project of community empowermnent that scored 1 if any and 0 if not), the performance of social capital and the extention program conveyed. The Minitab Version 16 was employed for exzamining the goodness to the model and the significancy of the parameters pursued at the level of 5% and 10%. The conclusions were the exit capability against poverty were significantly affected by: fuel prices, the ammount of the BLT, the exisistency of PNPM, gender & education of household, number of dependents, the distance to central districts, the presence of electricity, the power of social capital, land ownership of both damar agroforest and paddy field acreages, the owner of productive assets such as ruminants. Accordingly, there were no culturetribe significantly affected by the existing from of poverty, which means that the poverty in this region was more structural cause than that of the cultural one.

scholarly journals How Sensitivity of Energy Intake to Fuel Price Change: Evidence from Central Java

2018 ◽  
Vol 19 (1) ◽  
pp. 50
Author(s):  
Agus Widarjono
Keyword(s):  
Energy Intake ◽  
Income Elasticity ◽  
Price Change ◽  
Cash Transfer ◽  
Calorie Intake ◽  
Fuel Price ◽  
Fuel Prices ◽  
Central Java ◽  
Poor Households ◽  
The Impact

Because of high world oil prices during 2008-2013, the government must adjust domestic fuel price several times. One of the fuel price adjustments occurred in 2013. The increase in fuel prices caused high inflation. The purpose of this study is to analyze the impact of rising fuel prices on calorie consumption as a main source of energy intake  in Central Java Province. The results of this study indicate that calorie income elasticity increased both in urban and rural areas after the increase in fuel price. However, urban households are more responsive than rural households. An increase in calorie income elasticity means that households must allocate more expenditure on food consumption in order to fulfill minimum energy intake. These findings imply that cash transfer policies such as direct cash transfer for poor households known as BLT as well as rice policy for poor households as called Raskin are very effective to maintain minimum calorie intake during price crisis.

scholarly journals The impact of social capital on the market access of coffee farmer house holds in Lam Dong province

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Duong The Duy ◽  
Nguyen Thai Dung
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Market Access ◽  
Agricultural Extension ◽  
Research Model ◽  
Poor Households ◽  
Informal Social Networks ◽  
Coffee Farmers ◽  
The Difference ◽  
The Impact

The purpose of this study is to analyze the impact of social capital and other factors that affect the market access of coffee farmer households. The study synthesized theories, as well as previous studies, to provide criteria for measuring social capital of coffee farmers' households: including formal social networks, informal social networks, and trust. Besides, the study uses descriptive statistics, logistic regression, two t-average tests to analyze and assess the difference in social capital between poor and non-poor households of 235 coffee farmer households in Lam Dong Province. The results show that Agricultural Extension Associations, Association Organizations (proxy for official social networks), Agents at all levels, Colleagues - Friends (informal social networks), age, years of living in the locality, and labor have an impact on the market access of coffee farmer households. Some recommendations to improve market access of coffee farmers in the province have been proposed, based on the previous theories as well as the results of the research model The research, however, is yet to clarify the impact of social capital on each market of finance, land, labor, extension services, material, and output markets.

Economic Significance of Social Capital

2011 ◽  
pp. 46-65 ◽  
Author(s):  
L. Polishchuk ◽  
R. Menyashev
Keyword(s):  
Social Capital ◽  
Collective Action ◽  
Common Good ◽  
Economic Conditions ◽  
Formal Institutions ◽  
Transmission Channels ◽  
Economic Significance ◽  
Bonding And Bridging ◽  
The Impact

The paper deals with economics of social capital which is defined as the capacity of society for collective action in pursuit of common good. Particular attention is paid to the interaction between social capital and formal institutions, and the impact of social capital on government efficiency. Structure of social capital and the dichotomy between its bonding and bridging forms are analyzed. Social capital measurement, its economic payoff, and transmission channels between social capital and economic outcomes are discussed. In the concluding section of the paper we summarize the results of our analysis of the role of social capital in economic conditions and welfare of Russian cities.

Model Pembelajaran Teams Games Tournaments (TGT) untuk Meningkatkan Hasil Belajar Siswa

2019 ◽  
Vol 3 (2) ◽  
pp. 110
Author(s):  
Suwarno Suwarno
Keyword(s):  
Social Capital ◽  
Academic Success ◽  
Service Learning ◽  
Learning Outcomes ◽  
School Effectiveness ◽  
Social Trust ◽  
Building Blocks ◽  
Learning Model ◽  
Committee Report ◽  
The Impact

<p><strong>A</strong><strong>bstract</strong><strong>. </strong>This study aims to determine the effectiveness of the Teams Games Tournament (TGT) learning model to improve student learning outcomes. This research is important because the lecture learning model makes learning meaningless so it impacts on low learning outcomes. This research uses quasi experiment using control class and experimental class. Respondents in this study were students of class X SMK 8 Semarang Academic Year 2017/2018. Sample selection using random sampling, class X1 is <em>used</em> as a control class and X2 is an experimental class. The experimental class was given an intervention by learning Teams Games Tournaments (TGT), while the control class used lecture learning. The effectiveness of the model was measured by the student test analysis method. then analyzed by completeness test and average difference test. The findings of this study are the learning outcomes of experimental class students achieving better learning outcomes than classes using the lecture method.</p><p><strong><em>Keywords</em></strong><em>: Learning Model, Teams Games Tournaments (TGT)</em><em>. Students</em></p><p><strong><br /></strong></p><p><strong>Daftar Pustaka</strong></p><p align="center"> </p><p>Bofota, Y. B., &amp; Bofota, Y. B. (2017). <em>The impact of social capital on children educational outcomes : the case of Tanzania The impact of social capital on children educational outcomes : The case of Tanzania</em>.</p><p>Cahuc, P., Shleifer, A., &amp; Algan, Y. (2014). <em>Teaching Practices and Social Capital</em>. (6052).</p><p>Catts, R., &amp; Ozga, J. (2015). <em>What is Social Capital and how might it be used in Scotland ’ s Schools ?</em> (36).</p><p>Flint, N. (2017). <em>Full report Schools , communities and social capital : building blocks in the ’ Big Society ’ Contents</em>.</p><p>Goddard, R. D. (2016). <em>Relational Networks , Social Trust , and Norms : A Social Capital Perspective on Students ’ Chances of Academic Success</em>. <em>25</em>(1), 59–74.</p><p>Eddy Prasongko, 2017. Team Game Tournament. Bandung. Jawa Barat</p><p>Endang Poerwanti, dkk. 2008. <em>Asesmen Pembelajaran SD.</em> Jakarta: Direktorat Jendral Pendidikan Tinggi Departemen Pendidikan Nasional</p><p>Hargreaves, A. (2015). <em>School Social Capital and School Effectiveness</em>. <em>37</em>, 119–136.</p><p>Kurnia, Inggridwati. dkk. 2018. <em>Perkembangan belajar peserta didik</em><em>.</em> Jakarta: Direktorat Jendral Pendidikan Tinggi Departemen Pendidikan Nasional</p><p>Purwanto. M Ngalim. 2015. <em>Psikologi Pendidikan</em>. Bandung: PT Remaja Rosdakarya</p><p>Siddiq, M. Djauhar. 2018. <em>Pengembangan Bahan Pembelajaran SD</em>. Jakarta: Direktorat Jendral Pendidikan Tinggi Departemen Pendidikan Nasional.</p><p>Sugiyono, 2005. Metode Penelitian Kuantitatif, Kualitatif dan Rn D, Bandung Aftabeta</p><p>Lash, D., &amp; Belfiore, G. (2017). <em>5 Essentials in Building Social Capital Report 4 of the MyWays Student Success Series</em>. (October).</p><p>Mikiewicz, P., Jonasson, J. T., Gudmundsson, G., Blondal, K. S., &amp; Korczewska, D. M. (2011). <em>Comparative research between Poland and Iceland</em>.</p><p>Schlesselman, L., Borrego, M., Bloom, T. J., Mehta, B., Drobitch, R. K., &amp; Smith, T. (2015). An Assessment Of Service-Learning In 34 US Schools Of Pharmacy Follow Up On The 2001 Professional Affairs Committee Report. <em>American Journal of Pharmaceutical Education</em>, <em>79</em>(8). https://doi.org/10.5688/ajpe798116</p><p><em><br /></em></p>

Belgium: Creeping Vulnerability of Children

2017 ◽  
Author(s):  
Julie Vinck ◽  
Wim Van Lancker
Keyword(s):  
Social Protection ◽  
Child Poverty ◽  
Growing Up ◽  
Important Lesson ◽  
The Great Recession ◽  
Number Of Children ◽  
Poverty Risk ◽  
Poor Households ◽  
Families With Children ◽  
The Impact

Belgium has been plagued by comparatively high levels of child poverty, and by a creeping, yet significant, increase that started in the good years before the crisis. This is related to the relatively high share of jobless households, the extremely high and increasing poverty risk of children growing up in these households, and benefits that are inadequate to shield jobless families with children from poverty. Although the impact of the Great Recession was limited in Belgium, the crisis seems to have had an impact on child poverty, by increasing the number of children living in work-poor households. Although the Belgian welfare state had an important cushioning impact, its poverty-reducing capacity was less strong than it used to be. The most important lesson from the crisis is that in order to make further headway in reducing child poverty, not only activation but also social protection should be improved.

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