scholarly journals ANALISIS FAKTOR KEMISKINAN KABUPATEN/KOTA DI KALIMANTAN, SULAWESI, BALI DAN NUSA TENGGARA

2021 ◽  
Vol 35 (2) ◽  
pp. 107-116
Author(s):  
Derita Lamtiar Pasaribu ◽  
Fajar Restuhadi ◽  
Evy Maharani
Keyword(s):  
Data Collection ◽  
Poverty Reduction ◽  
Principal Component ◽  
Population Data ◽  
Poverty Line ◽  
Poverty Rate ◽  
The Difference ◽  
Using Data ◽  
Main Components ◽  
Regional Clustering

Poverty alleviation planning should be started with data analysis in advance. One of the poverty data sources available in Indonesia is the Regency/City Poverty Data and Information Catalog, published by the Central Statistics Agency (BPS). From the catalog published in the time series can be observed where the poverty rate decreases along with the increasing budget for poverty reduction. In 2005, there were 35.1 million people (15.97%) of the country living under the poverty line and in 2015 reduced to be 28.51 million people which equaled 11.13% of the total population of Indonesia. This research aims to analyze poverty factors in 175 regents and cities located on the islands of Kalimantan, Sulawesi, Bali, and Nusa Tenggara using data from BPS. The principal component analysis (PCA) is the main analytical instrument that was used in this research. The poverty data from BPS has 9 aspects/factors and PCA analysis results in the same number of main components/factors. The difference in the result of these two observations is seen in variable members in each component that could be occurred because BPS conducts grouping of variables before the population data collection gets started, while PCA classifies variables based on data that has been collected or after the population data collection is completed. PCA results can be utilized for further research purposes such as regional clustering, implementation of evaluation, and planning. Meanwhile, the BPS poverty aspect displayed in a more structured arrangement, makes it is easier to observe for publications and more practical to use when conducting population data collection.

scholarly journals The Difference Of The Triangular Theory Of Love In Married Women Judging From The Length Of Marriage

2020 ◽  
Vol 2 (4) ◽  
pp. 264-276
Author(s):  
Elisa Muloko ◽  
Ribka Limbu ◽  
Dian Lestari Anakaka
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Sampling Technique ◽  
Married Women ◽  
Purposive Sampling ◽  
The Difference ◽  
Main Components

One of the main reasons people getting married is because of the love and commitment that is shared with the partner. Sternberg (in Taylor, dkk, 2009), explained that love has three main components, namely intimacy, passion and commitment. This study aims to determine whether there are differences in intimacy, passion and commitment in married women judging from length of marriage. The theory used to explain intimacy, passion and commitment in this study is the Triangular Theory love proposed by Sternberg (1986). This study was conducted at 402 married women. The sampling technique used was purposive sampling. Data collection devices are questionnaire, in the form of the triangular theory of love scale (STLS) adapted by the authors, with the reliability of the scale is 0.956. The results of the data analysis with the Kruskal Wallis technique, obtained value of Asymp. Significance is 0.026 (p < 0.05). The results of the data analysis show that there is a significant differences of intimacy, passion and commitment in married women judging from the length of marriage.

scholarly journals Food away from home and the reversal of the calorie intake decline in India

Food Security ◽  
2020 ◽  
Author(s):  
Deepthi E. Kolady ◽  
Shivendra Kumar Srivastava ◽  
David Just ◽  
Jaspal Singh
Keyword(s):  
Data Collection ◽  
Poverty Line ◽  
Calorie Intake ◽  
Welfare Programs ◽  
Household Level ◽  
Food Away From Home ◽  
Social Welfare Programs ◽  
Food And Nutrition ◽  
Per Capita ◽  
Using Data

Abstract India experienced a consumption puzzle since the 1970s, whereby households’ calorie intakes declined over time, despite significant economic growth. This declining trend in calorie intake (consumption puzzle) was reversed for the first time in 2011–12. This is the first empirical study that investigates the relationship between refinements in data collection on food away from home (FAFH) and the trend reversal in per capita calorie intake decline in India. Findings from the study showed that the declining trend in calorie intake in India has been partly due to measurement issues and that correcting for these issues through refinements in data collection for FAFH in 2011–12 had a positive effect on the reversal of the calorie intake decline. India uses per capita calorie intake estimated using data from HCES to define the official poverty line, a benchmark used in designing many social welfare programs. Incorrect estimates of calorie intake will have negative implications on the effectiveness of welfare programs aimed at reducing food insecurity. Findings from this study provide insights for further improvement in data collection regarding household-level consumption expenditures. The study has implications not only for India but also for other countries that use household-level consumption data to understand diets and to design food and nutrition programs.

The Politics of Poverty

Social Change ◽  
2019 ◽  
Vol 49 (2) ◽  
pp. 232-240
Author(s):  
Digvijay Kumar
Keyword(s):  
Economic Growth ◽  
Poverty Reduction ◽  
Poverty Line ◽  
Poverty Rate ◽  
Social Dimensions ◽  
Welfare Policies ◽  
The Poor ◽  
The Social ◽  
The Rich ◽  
Poverty Levels

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.

What Role Does Financial Inclusion Play for Poverty Reduction? Empirical Evidence From The Indian States in the Post-Liberalization Era

2021 ◽  
Author(s):  
Rajesh Barik ◽  
Sanjaya Kumar Lenka
Keyword(s):  
Poverty Reduction ◽  
Urban Poverty ◽  
Random Effect ◽  
Principal Component ◽  
Financial Inclusion ◽  
Least Square ◽  
Indian States ◽  
Pca Method ◽  
Using Data ◽  
The Impact

Abstract The paper tries to analyzes the effect of financial inclusion on poverty reduction among 28 Indian states and rural-urban as well. Using data from 28 Indian states over the period of 1993 to 2015, this study constructed a single financial inclusion index through Principal Component Analysis (PCA) method, which signifies the state-wise variation in financial inclusion services. Furthermore, this study uses Fixed Effect, Random Effect, Panel Corrected Standard Errors, Feasible General Least Square, and Hausman-Taylor Regression model to know the impact of financial inclusion on state-wise poverty reduction and rural-urban poverty reduction as well. The results of this study suggest that financial inclusion has a negative and significant effect on state-wise and rural-urban poverty reduction respectively. With regards to the control variables, this study finds that variables like social sector expenditure, per capita state GDP and capital receipt are negatively associated with all three categories of poverty (i.e., overall poverty and rural-urban poverty) whereas the rural population is positively associated.

The Poverty Reduction of Social Security and Means-Tested Transfers

ILR Review ◽  
2018 ◽  
Vol 71 (5) ◽  
pp. 1106-1153 ◽  
Author(s):  
Bruce D. Meyer ◽  
Derek Wu
Keyword(s):  
Social Security ◽  
Poverty Reduction ◽  
Poverty Line ◽  
Poverty Rate ◽  
Program Participation ◽  
Housing Assistance ◽  
Assistance Program ◽  
Sipp Data ◽  
Nutrition Assistance ◽  
State Of Research

This article is the fourth in a series to celebrate the 70th anniversary of the ILR Review. The series features articles that analyze the state of research and future directions for important themes this journal has featured over many years of publication. Starting with Survey of Income and Program Participation (SIPP) data from 2008 to 2013, the authors link administrative data from Social Security and five large means-tested transfers—Supplemental Security Income (SSI), Supplemental Nutrition Assistance Program (SNAP), public assistance (PA), the Earned Income Tax Credit (EITC), and housing assistance—to minimize errors within the SIPP data. Social Security cuts the poverty rate by a third—more than twice the combined effect of the five means-tested transfers. Among means-tested transfers, the EITC and SNAP have the largest effects. All programs except for the EITC sharply reduce deep poverty. The relative importance of these programs differs by family subgroup. SSI, PA, and housing assistance have the highest share of benefits going to the pre-transfer poor, whereas the EITC has the lowest. Finally, the SIPP survey data alone provide fairly accurate estimates for the overall population at the poverty line, though they understate the effects of Social Security, SNAP, and PA. Differences in effects are striking, however, at other income cutoffs and for specific family types.

THE APPLICATION OF AN ENDOGENOUS POVERTY LINE AND ITS RELATIONSHIP WITH THE POVERTY IMPACT OF ECONOMIC SHOCKS: AN EMPIRICAL INVESTIGATION

2013 ◽  
Vol 58 (01) ◽  
pp. 1350005 ◽  
Author(s):  
TEGUH DARTANTO
Keyword(s):  
Computable General Equilibrium ◽  
Poverty Line ◽  
Poverty Rate ◽  
Policy Reforms ◽  
Economic Shocks ◽  
Percentage Points ◽  
Soybean Price ◽  
The Difference ◽  
Fixed Line ◽  
The Impact

Most of the studies on the poverty impact of economic shocks as well as policy reforms assumed the poverty line as a fixed line; thus, the poverty outcome of shocks may underestimate (overestimate) and mislead in policy guidance. This research aims at empirically investigating the difference of poverty outcome between applying a fixed and an endogenous poverty line. Applying computable general equilibrium microsimulation (CGE-MS), this study has empirically proven that, if a fixed poverty line is applied, the poverty impact of economic shocks which significantly increase (decrease) price will always be underestimated (overestimated). This study empirically found that there is a 0.316 percentage point difference in the poverty outcome between applying the endogenous poverty line and the fixed poverty line when analyzing the impact on poverty in Indonesia of a doubling in the imported soybean price. Supposing the fixed poverty line, the poverty rate will increase by 0.167 percentage points, while supposing the endogenous poverty line, the poverty rate will increase by 0.483 percentage points. Therefore, applying either an endogenous or a fixed poverty line will have a different policy implication. This study strongly suggested that the endogenous poverty line should be applied when analyzing the poverty impact of shocks due to the precision in outcomes.

scholarly journals Multiple Flights or Single Flight Instrument Fusion of Hyperspectral and ALS Data? A Comparison of their Performance for Vegetation Mapping

2019 ◽  
Vol 11 (8) ◽  
pp. 970 ◽  
Author(s):  
Łukasz Sławik ◽  
Jan Niedzielko ◽  
Adam Kania ◽  
Hubert Piórkowski ◽  
Dominik Kopeć
Keyword(s):  
Data Collection ◽  
Data Fusion ◽  
Laser System ◽  
Remote Sensing Data ◽  
Natura 2000 ◽  
Vegetation Mapping ◽  
Sensor Data ◽  
The Difference ◽  
Using Data ◽  
Instrument Fusion

Fusion of remote sensing data often improves vegetation mapping, compared to using data from only a single source. The effectiveness of this fusion is subject to many factors, including the type of data, collection method, and purpose of the analysis. In this study, we compare the usefulness of hyperspectral (HS) and Airborne Laser System (ALS) data fusion acquired in separate flights, Multiple Flights Data Fusion (MFDF), and during a single flight through Instrument Fusion (IF) for the classification of non-forest vegetation. An area of 6.75 km2 was selected, where hyperspectral and ALS data was collected during two flights in 2015 and one flight in 2017. This data was used to classify three non-forest Natura 2000 habitats i.e., Xeric sand calcareous grasslands (code 6120), alluvial meadows of river valleys of the Cnidion dubii (code 6440), species-rich Nardus grasslands (code 6230) using a Random Forest classifier. Our findings show that it is not possible to determine which sensor, HS, or ALS used independently leads to a higher classification accuracy for investigated Natura 2000 habitats. Concurrently, increased stability and consistency of classification results was confirmed, regardless of the type of fusion used; IF, MFDF and varied information relevance of single sensor data. The research shows that the manner of data collection, using MFDF or IF, does not determine the level of relevance of ALS or HS data. The analysis of fusion effectiveness, gauged as the accuracy of the classification result and time consumed for data collection, has shown a superiority of IF over MFDF. IF delivered classification results that are more accurate compared to MFDF. IF is always cheaper than MFDF and the difference in effectiveness of both methods becomes more pronounced when the area of aerial data collection becomes larger.

scholarly journals Panel Analysis on the Effect of Government Expenditure on Education and Health Sector against Poverty Numbers in Aceh 2010-2015

2018 ◽  
Vol 6 (01) ◽  
Author(s):  
Mahadi Bahtera* ◽  
Said Muhammad ◽  
Nazamuddin, Abd.Jamal
Keyword(s):  
Poverty Reduction ◽  
Government Expenditure ◽  
Health Sector ◽  
Secondary Data ◽  
Poverty Rate ◽  
Health Budget ◽  
National Education ◽  
Education And Health ◽  
Aceh Province ◽  
The Difference

The purpose of this research is to know the effect of government expenditure on education  and  health sector,  the  difference  of  districts  with  the  city and  the difference of parent regions to the poverty rate in Aceh Province. The method used in this study is the analysis with secondary data period 2010-2015. The Chow test yields the conclusion that the exact model used is the Common Effect Model. The estimation results indicate that the education budget, the urban area significantly influences the poverty rate, while the health budget and the district / city expansion have no effect on the poverty reduction. The simulation results concluded  that  if  the  education  budget  is  budgeted    20  percent  of  the  total Regional Revenue and  Expenditure  Budget ( APBD)  and the health budget is realized by 10 percent of the total APBD budget it will be able to reduce poverty in Aceh Province on average by 0.55 percent per year. Regency / municipality governments are expected to realize the education budget of  20%  of  APBD in accordance with Law no. 20 of   2003 article 49 paragraph 1 of the National Education System and the health budget of 10% of APBD in accordance with Law No.36 of 2009 article 171 paragraph 2 on Health.

scholarly journals TATA KELOLA KOLABORATIF DALAM PENANGGULANGAN KEMISKINAN DI KABUPATEN PINRANG

2018 ◽  
Vol 4 (2) ◽  
pp. 49-64
Author(s):  
Abdul Rasyid Sahar ◽  
Roy Valiant Salomo
Keyword(s):  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Collaborative Governance ◽  
Poverty Line ◽  
Poverty Rate ◽  
Collaborative Partnership ◽  
Multiple Stakeholders ◽  
Optimal Program ◽  
Integrative Framework ◽  
Coordination Team

Abstract, In SDGs regime, collaborative partnership used to reduce poverty. The rise of collaborative governance discourse is just because an involvement of the multiple stakeholders in multiple organizations across multiple jurisdictions who has it’s own understanding of the problem and solution differently. In this paper, we examine the implementation of collaborative governance and it's affected factors in Pinrang's poverty alleviation. Since 2016, local government initiated The Poverty Reduction Department (Bagian Penanggulangan Kemiskinan) as a special board for eradicating poverty by an integrative framework for collaborative governance. This board intended to assist on the Regional Poverty Alleviation Coordination Team (TKPKD), to integrate a number of poverty alleviation program, and also to merge the database differences between The Central Statistics Agency (BPS) and TKPKD. However, while BPK has an important role to play, there are many conditions and settings that bother for driving progressively cyclical or iterative interactions between multiple stakeholders. In addition, the Pinrang poverty rate was increased in 2016 period. BPS announced that the number of people living below the poverty line was 256.054 in 2017 or 8,5 percent of the total population. This study argues that a lack of leadership and capacity buildings shape the prospects for and challenges of initiating and sustaining collaborative governance in Pinrang’s poverty alleviation program.Keywords: Collaborative Governance, Poverty Allevation Program, Local GovernmentAbstrak, Dalam rezim SDG’s, pendekatan untuk mengentaskan kemiskinan adalah collaborative partnership. Diskursus ini mengemuka karena kemiskinan merupakan isu multisektoral yang dinamis dan kompleks. Pemetaan solusinya pun merujuk pada pelibatan berbagai jenjang organisasi, multidispilin, dan lintas yurisdiksi. Penelitian ini akan meninjau penerapan dan faktor yang berpengaruh pada tata kelola kolaboratif dalam penanggulangan kemiskinan di Kabupaten Pinrang dengan menggunakan metode deskriptif analitis. Pada 2016, sebagai momentum reformasi birokrasi, Pemerintah Pinrang membentuk OPD yang khusus concern dalam menanggulangi kemiskinan melalui kerangka kolaboratif antar jenjang pemerintahan dan pihak non pemerintah untuk mangakomodasi peran TKPKD Pinrang yang tidak optimal, program kemiskinan yang tidak terintegrasi, dan perbedaan Basis Data Kemiskinan (BPS-TNP2K) yang menjadi rujukan pemerintah daerah. Namun demikian, meskipun penerapan tata kelola kolaboratif diarus utamakan dalam penanggulangan kemiskinan, tetapi belum sepenuhnya menjadi solusi alternatif terhadap tingkat kemiskinan daerah yang masih konsisten di angka 8,5%. Sampai pada tahun 2017, realisasi target angka kemiskinan Pinrang belum terwujud di angka 6%. Penelitian ini menemukan bahwa tidak optimalnya pembangunan dimensi trust dan mutual understanding sebagai salah satu komponen esensial, juga, kapasitas pemimpin kolaborasi menjadi variabel penentu menghambat proses kolaborasi ke tingkat yang lebih iteratif dan dinamis (collaborative dynamics).Kata kunci:    Collaborative Governance, Penanggulangan Kemiskinan, Pemerintahan Lokal 

scholarly journals INOVASI LAYANAN PERPUSTAKAAN SELAMA PANDEMI COVID-19 OLEH TAMAN BACA MASYARAKAT OMAH BUKU DI DESA BLONDO KABUPATEN MAGELANG

2021 ◽  
Vol 2 (2) ◽  
pp. 95-114
Author(s):  
Rasyid Jauhari ◽  
Sukaesih Sukaesih ◽  
Evi Nursabti Rukmana ◽  
Samson CMS
Keyword(s):  
Data Collection ◽  
Real Life ◽  
Library Services ◽  
Sources Of Information ◽  
Multiple Sources ◽  
Significant Difference ◽  
The Difference ◽  
Using Data ◽  
People’S Attitudes ◽  
Made In

This research discusses Library Service Innovations during the Covid-19 Pandemic by the Omah Buku Community Reading Park in Blondo Village, Magelang Regency. The purpose of this study was to determine the condition of library services in the Omah Buku Reading Park before and during the Covid-19 pandemic and the innovations made in dealing with it. This research is a research that uses a descriptive qualitative research method, where data collection is carried out by means of observation and interviews. Interviews were conducted with two participants, namely between the researcher and the owner and chairman of the Omah Buku Community Reading Park. The data that has been obtained from observation and interview activities are then processed and analyzed using data analysis techniques by exploring real life, contemporary limited systems or cases or various limited systems or various cases, with detailed and in-depth data collection techniques involving multiple sources of information. as well as reporting case descriptions and research case themes to help facilitate the process of interpretation of how innovative activities during the Covid-19 pandemic at TBM Omah Buku are interpreted and linked to existing theories. Based on the data that has been collected and processed, this study shows that there is a significant difference in service aspects between the time before and during the Covid-19 pandemic. The difference in this aspect of service then becomes the cause of the emergence of innovation and actions such as running activities while adhering to health protocols, limiting the number of visitors, delivery of library material collections by volunteers to several points in the surrounding community. This innovation is expected to attract people's attitudes to pay attention to the importance of reading gardens in the community.

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