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"A preliminary research on the roles of information can communication technology for property alleviation has been done.The research based on analysis of secondary data on ICT avveess and proverty data during the year 200-2006

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"Penelitian ini dilatarbelakangi oleh kenyataan yang ada bahwa angka kemiskinan di Indonesia masih cukup tinggi, Padahal jumlah Lembaga Keuangan Mikro (LKM) yang dapat membantu dalam pengentasan angka kemiskinan sudah cukup banyak. Hal ini membuat penulis tertarik untuk menganalisis hubungan antara Lembaga Keuangan Mikro (LKM) / Micro Finance Institutions (MFIs) dan kontribusi Usaha Kecil (UK) / Micro Enterprises Units (MEUs) dalam pengentasan kemiskinan di Indonesia. Secara khusus, tujuan dari penelitian ini adalah untuk mengetahui bagaimana pengaruh rasio akses, rasio kredit, persentase nasabah, ROA, persentase rentabilitas, dan rasio tabungan berpengaruh terhadap kontribusi usaha kecil (UK) dalam pengentasan kemiskinan penduduk di Indonesia yang dinyatakan dengan percentage of population below the poverty line (%PBPL) .Penelitian ini merupakan penelitian korelasional (correlational research) yang menggunakan variabel terikat %PBPL di Indonesia. Sampel penelitian ini berasal dari 4 (empat) jenis LKM yaitu : Koperasi Simpan Pinjam, Unit Simpan Pinjam, Unit Simpan Pinjam KOPTA dan USP Koperasi Unit Desa (KUD) seluruh Indonesia selama periode tahun 2000 dan 2001. Metode Analisis yang digunakan adalah metode Ordinary Least Squares dan Pooled Least Squares dengan pengolahan data menggunakan SPSS 10. Untuk mendapatkan perbedaan yang nyata antara propinsi-propinsi yang ada di Indonesia dalam hal kekayaan sumber daya alam (SDA), kekayaan sumber daya manusia (SDM), letak geografis yang relatif terisolasi dan kelompok propinsi lainnya maka digunakan 3 (tiga) dummy kriteria propinsi.Kesimpulan dari penelitian ini adalah : (1). analisis secara individual terhadap efektifitas pelayanan UK (rasio aksesbilitas, rasio kredit, persentase nasabah), Internal performace-LKM (return on asset, rentabilitas dan rasio tabungan) serta dummy propinsi (DI, D2 dan D3) berpengaruh secara signifikan terhadap pengentasan kemiskinan di Indonesia (%PBPL) pada signifikansi level 5%, kecuali faktor rasio tabungan, D1, D2, dan D3, (2) analisis pengaruh secara serentak pada model 2(a) dan 2(b) terhadap efektifitas pelayanan UK, Internal performance -LKM, serta dummy propinsi bersama-¬sama berpengaruh secara signifikan terhadap pengentasan kemiskinan di Indonesia (%PBPL) pada signifikansi level 5%, (3). variabel yang dominan adalah R_Akses, R_Kredit, P_Nsb, ROA, dan R_Rent. Faktor R_Akses dan R Kredit adalah indikator efektifitas pelayanan terhadap UK yang berpengaruh positif terhadap pengentasan kemiskinan di Indonesia. Faktor nasabah berpengaruh negatif terhadap efektifitas pelayanan UK, karena LKM yang hanya mengejar banyaknya nasabah akan menjadi usaha yang kontra-produktif terhadap keberhasilan pengentasan kemiskinan di Indonesia.

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There is a wide range of poverty incidence in Indonesia. The poverty rate for self-employed micro enterprises units (MEUs) is contrary to the facts in which many MFIs in Indonesia have programs to reduce percentage of population below the poverty line (%PBPL). This research is aimed to analyze the relationship between the MFIs and contribution of micro enterprises units (MEUs) in order to reduce %PBPL in Indonesia. This study have two purposes; first, to know how the influences of effectiveness of MFIs'services to micro enterprise (accessibility ratio, credit ratio, percentage of clients) and internal performance of MFIs (ROA, return on self capital and savings ratio) in order to reducing poverty, and second, to know how well MFIs contribute to reduce poverty.

This research is a correlation research in which %PBPL constitute a dependent variable. The Independent variables consist of accessibility ratio, credit ratio, client?s ratio, ROA, return of self capital and deposit ratio. These researches are used samples from 4 MFIs categories of savings and loan cooperatives (KSP & LISP) in Indonesia. The methods of analysis which are in the research used are ordinary least square and polled least square with SPSS 10 software. The dummy variables (3 categories by province) are used to get differentiation of the MFIs `s origin (rich in natural resource, rich in human resource and isolated Geographic's province).

In the conclusion of this research it can be proved that : (1). accessibility ratio, credit ratio, percentage of clients, ROA, and return on self capital have significantly individual impacts to reducing % PBPL when 5 independents are based on individual analysis of predictors in the models in significant level 5%, (2) effectiveness of MFIs' services, internal performance and dummy by province have significantly simultaneous impacts to reducing % PBPL when based on equation models 2 (a) and 2 (b) in significant level 5%, and (3) percentage of clients has negative impacts to poverty when accessibility ratio and credit ratio have positive impacts to poverty in Indonesia."

"This work proposes a new approach to welfare: a social policy that goes beyond simple income maintenance to foster individual initiative and self-sufficiency. It argues for an asset-based policy that would create a system of saving incentives through individual development accounts"

"Studi ini ingin melihat bagaimana pengaruh modal sosial terhadap probabilitas rumah tangga menjadi miskin di Indonesia. Dengan menggunakan metode probit pada data Indonesia Family Life Survey IFLS wave 5 tahun 2014, penelitian ini menemukan bahwa modal sosial bridging, yang diwakili oleh partisipasi rumah tangga pada arisan, koperasi, ataupun simpan pinjam desa dalam 12 bulan terakhir, signifikan mengurangi probabilitas rumah tangga menjadi miskin. Selain itu dengan metode ordinary least square OLS ditemukan pula bahwa modal sosial berpengaruh signifikan positif terhadap pengeluaran rumah tangga. faktor lain, seperti: sosial demografi, modal manusia, modal fisik, dan modal finansial yang signifikan mempengaruhi probabilitas rumah tangga menjadi miskin. Akan tetapi, ditemukan bahwa modal sosial bonding berupa bantuan dari kerabat terdekat tidak signifikan mempengaruhi probabilitas rumah tangga menjadi miskin.

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This study attempts to learn how social capital affects the households probability of being poor in Indonesia. By using probit method and utilizing the data of Indonesia Family Life Survey IFLS wave 5, this study discovered that social capital bridging, which is participation household in arisan, cooperation, and local microcredit for the last 12 months, statistically and significantly lower the household's probability of being poor. In addition, by using OLS method, this study confirms that social capital significantly increase household's per capita expenditure. Furthermore, this study reavealed that other factors such as social demographic, human capital, physical capital, and financial capital statistically and significantly affect the household's probability of falling into poverty. However, social capital bonding, which is realized by assistances of their closest relatives, does not statistically and significantly affect the the household's probability of becoming poor."

"Dengan memfokuskan korupsi pada level provinsi, thesis ini memeriksa apakah korupsi oleh pemerintah daerah aka mempengaruhi tingkat kemiskinan. Panel data dengan pendekatan “fixed effect” diimplementasikan pada data level provinsi dari tahun 2007 sampai dengan 2010. Dengan menggunakan temuan audit, hasil regresi menunjukan bahwa korupsi pemerintah daerah memiliki korelasi positif dengan kejadian kemiskinan. Jika provinsi-provinsi di Indonesia mengurangi korupsi, ini akan berkontribusi pada semakin banyak orang keluar dari kemiskinan. Hasil penelitian ini menekankan pada pentingnya penyempurnaan intitusi seperti pemberantasan korupsi dalam kebijakan pengentasan kemiskinan. Kebijakan anti korupsi sangat dibutuhkan agar program-program pengentasan kemiskinan lebih effisien.

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Focusing on the provincial corruption level, this thesis examines whether local government corruption influences the regional poverty rate. In this paper, a fixed approach panel data method is implemented to a provincial level data set from 2007 to 2010. Using audit findings as measurement of provincial corruption level, the results show that local government corruption has positive correlation with poverty incident. If provinces in Indonesia reduce their corruption level, it contributes more people moving out of poverty. This study highlight the important of institutional improvement i.e. the corruption eradication effort in the poverty reduction policy. Thus, anti-corruption policies are necessary for anti-poverty programs to be efficient."

"[ABSTRACTA number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.;A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective. The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.;A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.;A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.;A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level., A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.]"