scholarly journals EFEKTIFITAS BANTUAN SOSIAL DALAM PENANGGULANGAN KEMISKINAN DI TENGAH PERLAMBATAN EKONOMI INDONESIA DENGAN PENDEKATAN NON-PARAMETRIK

2019 ◽  
Vol 5 (1) ◽  
pp. 9-31
Author(s):  
Palupi Lindiasari Samputra ◽  
Aji Wahyu Ramadhani

This study aims to analyze the relationship and influence of social assistance on the number of poor people in Indonesia. There is a control variable as a comparison, namely; the number of people who work alone and work as laborers, central government debt and economic growth. The research method uses a quantitative approach with non-parametric statistics with annual data (2007-2017) and elasticity is used to measure the amount of change in the number of poor people due to additional social assistance. Pearson Moment Product and Rank Spearman correlation test to examine the relationship of each variable (number of people who work alone and work as laborers, central government debt and economic growth) to the number of poverty in Indonesia. The results of non-parametric statistics show that there is a very strong relationship between social assistance (National Health Insurance-Benefit Beneficiary Recipients (JKN-PBI) and Prosperous Rice (Rastra), and strong (Family Hope Program (PKH)) for the number of poor people. negative indicates that social assistance can significantly reduce the amount of poverty, with the strongest impact being the PBI program.There is a strong relationship between debt and working as a laborer on the number of poor people. The slowdown in economic growth is proven to be unrelated to the number of poor people. the biggest decrease in the number of poor people is the JKN-PBI program (-0.16), Rastra (-0.15) and PKH (-0.06). The additional employment as laborers has the highest effectiveness level of -0, 34. Government debt is needed to reduce the number of poor people by -0.16, which means that in the middle of declining oak On the other hand, the amount of poverty in Indonesia can be reduced through social assistance programs, the creation of jobs as laborers and government debt allocated to productive activities and economic activities that directly affect the poor and vulnerable to poverty. Keywords: Social assistance programs, Economics growth, Debt, Poverty, Laborers, Effectiveness Abstrak Penelitian ini bertujuan untuk menganalisis hubungan dan pengaruh bantuan sosial terhadap jumlah penduduk miskin di Indonesia.  Terdapat variabel kontrol sebagai pembanding yaitu; jumlah orang yang bekerja sendiri dan bekerja sebagai buruh, utang pemerintah pusat dan pertumbuhan ekonomi. Metode penelitian menggunakan pendekatan kuantitatif dengan statistik non-parametrik, data tahunan (2007-2017) dan elastisitas digunakan untuk mengukur besaran perubahan jumlah penduduk miskin akibat tambahan bantuan sosial. Uji korelasi Pearson Moment Product dan Rank Spearman untuk menguji hubungan masing-masing variabel (jumlah orang yang bekerja sendiri dan bekerja sebagai buruh, utang pemerintah pusat dan pertumbuhan ekonomi) terhadap jumlah kemiskinan di Indonesia.  Hasil penelitian menunjukkan terdapat hubungan yang sangat kuat antara bantuan sosial (Jaminan Kesehatan Nasional-Penerima Bantuan Iuran (JKN-PBI) dan Beras Sejahtera (Rastra), dan Program Keluarga Harapan (PKH) terhadap jumlah penduduk miskin. Tanda negatif menunjukkan bantuan sosial dapat menurunkan jumlah kemiskinan secara signifikan, dengan dampak terkuat adalah program PBI.  Terdapat hubungan kuat antara hutang dan bekerja sebagai buruh terhadap jumlah penduduk miskin. Perlambatan pertumbuhan ekonomi terbukti tidak  berhubungan dengan jumlah penduduk miskin. Hasil perhitungan elastisitas menunjukkan efektifitas bantuan sosial terhadap penurunan jumlah penduduk miskin paling besar adalah program JKN-PBI  (-0,16), Rastra (-0,15) dan PKH (-0,06).  Tambahan lapangan kerja sebagai buruh memiliki tingkat efektifitas yang paling tinggi sebesar -0,34.  Hutang pemerintah dibutuhkan untuk menekan jumlah penduduk miskin sebesar -0,16. Artinya, di tengah perlambatan ekonomi, jumlah kemiskinan di Indonesia dapat ditekan melalui program bantuan sosial, penciptaan lapangan kerja sebagai buruh dan hutang pemerintah dialokasikan untuk kegiatan produktif dan kegiatan ekonomi yang berdampak langsung kepada penduduk miskin dan rentan miskin.

2021 ◽  
Vol 4 (2) ◽  
pp. 102-111
Author(s):  
Darman Saputra ◽  
Julia Julia

This study aims to analyze the relationship and influence of social assistance on the number of poor people in Indonesia. There are control variables as a comparison, namely; unemployment, central government debt and economic growth. The research method used a quantitative approach with non-parametric statistics, annual data (2013-2020) and elasticity were used to measure the magnitude of changes in the number of poor people due to additional social assistance. Rank Spearman test to test the relationship of each variable (total unemployment, central government debt and economic growth) to the amount of poverty in Indonesia. The results showed that there was a very strong relationship between social assistance for Contribution Assistance Recipients (PBI) and the Family Hope Program (PKH) on the number of poor people. The negative sign indicates that social assistance can reduce poverty significantly, with the strongest impact being the PBI program. There is a strong relationship between debt and the number of poor people. The slowdown in economic growth is proven to be unrelated to the number of poor people, meaning that in the midst of an economic slowdown, the amount of poverty in Indonesia can be suppressed through social assistance programs, job creation as laborers and government debt is allocated for productive activities and economic activities that have a direct impact on the poor and vulnerable to poverty. Poverty alleviation efforts can be carried out by the government by synergizing social assistance programs and creating job opportunities according to the ability of the poor on average.


2021 ◽  
Vol 2 (2) ◽  
pp. 97-103
Author(s):  
Julia Julia ◽  
Khairiyansyah

This study aims to analyze the relationship and influence of social assistance on the number of poor people in the Province of the Bangka Belitung Islands. There are control variables as comparison, namely; unemployment, central government debt, economic growth and poverty. The research method uses a quantitative approach with non-parametric statistics, annual data (2015-2020) and elasticity are used to measure the magnitude of change in the number of poor people due to additional social assistance. Spearman Rank test to examine the relationship of each variable (the number of unemployed, central government debt and economic growth) to the amount of poverty in Indonesia. The results of the study show that there is a very strong relationship between social assistance for Contribution Assistance Recipients and the Family Hope Program on the number of poor people. A negative sign indicates that social assistance can significantly reduce poverty, with the strongest impact being the  program. There is a strong relationship between debt and the number of poor people. The slowdown in economic growth has been proven to be unrelated to the number of poor people. This means that, in the midst of an economic slowdown, the number of poverty in Indonesia can be reduced through social assistance programs, job creation as laborers and government debt is allocated for productive activities and economic activities that have a direct impact on the poor and the poor. vulnerable to poverty.


2020 ◽  
Vol 6 (2) ◽  
pp. 31-38
Author(s):  
Yu Hsing

This paper employs an extended production function to examine the relationship between central government debt and economic growth in Italy. The results show that the threshold of the central government debt ratio for Italy is estimated to be 105.00%, which is greater than the 90% debt threshold proposed by Reinhart and Rogoff. Besides, a higher growth rate of labor employment or investment/GDP ratio would raise the growth rate. Hence, the debt threshold proposed by Reinhart-Rogoff underestimates the debt threshold for Italy. The finding suggests that the debt ratio of 131.09% in 2019 is well above the debt threshold and is likely to be unsustainable.


Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 25 ◽  
Author(s):  
Yang Songling ◽  
Muhammad Ishtiaq ◽  
Bui Thi Thanh

In the developing economy, tourism is the most visible and steadiest growing facade. Tourism is considered one of the rapidly increasing elements for economic development from the last two decades. Therefore, the proposed study used vector autoregression (VAR) model, error correction model (ECM), and the Granger causality to check the relationship between the tourism industry and economic growth based on the data of the Beijing municipal bureau of statistics from 1994 to 2015. Gross domestic product (GDP) is used as a replacement variable for the economic growth index, while internal tourism revenue is used as a tourism industry indicator. The study supports the tourism-led growth hypothesis proposed in the existing literature in a different survey of tourism and economic development. The results show that there is a strong relationship in the tourism industry and economic growth in the context of Beijing, and at the same time, tourism creates a more significant increase in long run local real economic accomplishments. The results of the VAR model confirm that in the long run, Beijing’s economic growth is affected by domestic tourism, while the ECM model shows unidirectional results in the short term. Similarly, there is a one-way causal relationship between the tourism industry and economic growth in Beijing, China. The empirical results are in strong support of the concept that tourism causes growth.


2016 ◽  
Vol 3 (1) ◽  
pp. 47
Author(s):  
Nikolaos Dritsakis ◽  
Pavlos Stamatiou

<em>The relationship between government debt, exports and economic growth has been the focus of a considerable number of academic studies in recent years. The economic crisis, which started in the United States mortgage market, quickly went global when mortgage-backed securities traded by financial institutions. Europe’s response was immediate regarding the measures to tackle the crisis. The establishment of common strategies was the long term goal of the European Union (EU). This paper examines the relationship between government debt, exports and economic growth in the EU countries with the highest level of government debt, using panel data over the period 1990-2014. The Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS) methods are used to estimate the long run relationship between the variables. In addition, the Vector Error Correction Model (VECM) is used in order to investigate the causal relationship between the examined variables. The empirical results of the study revealed that there are both short and long run relationships. Findings suggest that that there is a unidirectional causality running from exports to economic growth as well as from exports and economic growth to government debt. The results provide evidence to support the export led-growth hypothesis. Exports are an important factor for economic development. Moreover, the results reveal that government debt is affected by exports both directly and indirectly through economic growth. Policy implications are then explored in the conclusions.</em>


2017 ◽  
Vol 20 (3) ◽  
pp. 77-94
Author(s):  
Azar Hasanli

Abandoning fiscal decision-making, redistributing and dispersing authorities provided by central government in favor of local and regional-level governance bodies is one of the widely discussed issues across the world based on the theory of “fiscal decentralization”. Incumbent theoretical and empiric researches regarding to achieving economic growth in the light of global economic fragilities indicate that managerial allocation of public funds among central and local authorities casts significant attention in terms of optimizing economic efficiency. In the article, it is tried to introduce brief theoretical background and measurement techniques to depict empiric relationship between fiscal decentralization and economic growth. In addition to investigating empiric facts, an effort to reveal the impact of fiscal decentralization on acquiring economic growth is made. Based on the investigations conducted in the framework of the article, it becomes obvious that empirical approaches toward the issue can be differed in several aspects: the selection of different economies, the time period chosen, the economies’ level of development and the estimation methodology. However, there are few empirical studies that analyze the relationship between fiscal decentralization and economic growth, and unfortunately the evidence on this topic is inconclusive.


2021 ◽  
Vol 2106 (1) ◽  
pp. 012008
Author(s):  
A Halida ◽  
N Salam ◽  
A S Lestia

Abstract Poverty is a problem that is always present in any country, including Indonesia. Kalimantan is one of the islands in Indonesia that has not been free from poverty. Therefore, more effective efforts to further reduce poverty are needed. The purpose of the is study was to develop a model that can explain significant factors to poverty in Kalimantan. To achive the objective, first, factors that may have significant influence to the changes in the percentage of poor people should be identified, using regression analysis. In this study, nonparametric regression analysis was used with a spline approach since the relationship between poverty and the explanatory factors did not have a particular pattern. The results of this study showed that, the best was using three knot points, where Open Unemployment Rate (OUR), Human Development Index (HDI), and Economic Growth have a significant effect on poverty in Kalimantan.


2020 ◽  
Vol 12 (1) ◽  
pp. 45-54
Author(s):  
Ambros Leonangung Edu ◽  
Fransiska Jaiman Madu ◽  
Mariana Jediut ◽  
Petrus Redy Partus Jaya

Research on the dating behavior of teens at boarding houses in Ruteng City consists of two parts - research on high school teenagers and college’s students teenagers. This report focuses on the results of research to students living at boarding houses. This study was designed to describe the dating behavior of teenage boarders in the Ruteng, Manggarai Regency. Sexual dating behavior that drives this research is about emerging forms of thinking about sexual drive for couples. Various forms, such as holding hands, hugging, kissing, touching sensitive body parts, and sexual intercourses. Based on this concept, dating behavior is grouped into 4 activities, dating, necking, petting, and intercourses. Getting data, the team used survey by quantitative approach. Data collection techniques consisted of questionnaires, interviews, and observations. Questions related to student dating behaviors. Questionnaire was supported by interview and observation. The total participants were 320 students who were dating in Ruteng. From the total and 95% confidence level, the team determined margin of error totally 5.3%. Data were analyzed by descriptive statistical techniques and non-parametric statistics. Descriptive statistics were used to describe the condition of participants in terms of age, circumstances, and semester level. Non-parametric statistics were used to assess the significance of the relationship between age, circumstances, and semester variables for dating safety. Some of them have even been prominent in sexual relations. These facts were caused by unregulated environments. In Ruteng, the boarding houses do not have a construction permit because they do not have local regulations from the Manggarai regency government. This confirms the owner's mentality that is oriented to money and ignore the rules, do not limit male and female relations of boarders, and the desire of teenagers to make boarding as a safe dating place. The results of this study are expected to be a reference for local governments to issue local regulations.


2021 ◽  
Vol 13 (11) ◽  
pp. 6349
Author(s):  
Adam Altăr ◽  
Matei Nicolae Kubinschi ◽  
Alina Zaharia

Establishing a functional financial sector has been one of the pillars of transition to a functional market economy over the last three decades in the CEE region. The present paper provides a comprehensive analysis of the relationship between credit and economic growth in selected CEE countries, namely, Czechia, Romania, Poland and Hungary, aiming to answer questions related to (i) the role of the banking sector in fostering sustainable economic growth and the causality direction between the financial and real sector, (ii) the relationship between consumption and investment and certain categories of loans and (iii) the identification of loan supply shocks and their role in explaining the dynamics associated with other macroeconomic variables. Using a time-varying parameter structural vector autoregression model with stochastic volatility (TVP-SVAR) and sign restrictions, we identify a non-financial corporations (NFC) credit supply shock and an investment shock. Potential policy solutions to ensure a sound contribution of the financial sector to economic growth in the analyzed economies relate to the strong relationship identified between the two variables. From this perspective, the study is among the first to employ a robust dynamic framework for assessing the role of the financial sector in fostering sustainable economic growth in European emerging market economies.


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