scholarly journals DETERMINANT OF POVERTY LEVEL IN WEST KUTAI REGENCY

2012 ◽  
Vol 10 (1) ◽  
pp. 59
Author(s):  
Emanuel Akin

This research is Library Research by  using secondary data obtained and seeks to determine and analyze the factors that affect poverty in West Kutai regency, the analysis tool is use Path Analysis. Conclusion of the research results are as follows: (1) Economic Growth, Private Investment Growth (PMA), Labor, and the Growth of Government expenditure jointly direct and significant effect on the Human Development Index (HDI) in West Kutai regency, (2 ) Workforce dominant influence on the Human Development Index (HDI) in West Kutai regency, (3) Economic Growth, Private Investment Growth (PMA), Labor, and Output Growth Government jointly direct and significant effect on the amount of Poor Population in West Kutai regency, (4) Workforce dominant influence on the amount of Poor People in West Kutai regency, (5) Economic Growth, Private Investment Growth (PMA), Labor, and the Growth of Government influence indirectly through the Human Development Index (HDI) of the total poor population in West Kutai.

Author(s):  
Emanuel Akin

This research is Library Research by using secondary data obtained and seeks to determine and analyze the factors that affect poverty in West Kutai regency, the analysis tool is use Path Analysis. Conclusion of the research results are as follows: (1) Economic Growth, Private Investment Growth (PMA), Labor, and the Growth of Government expenditure jointly direct and significant effect on the Human Development Index (HDI) in West Kutai regency, (2 ) Workforce dominant influence on the Human Development Index (HDI) in West Kutai regency, (3) Economic Growth, Private Investment Growth (PMA), Labor, and Output Growth Government jointly direct and significant effect on the amount of Poor Population in West Kutai regency, (4) Workforce dominant influence on the amount of Poor People in West Kutai regency, (5) Economic Growth, Private Investment Growth (PMA), Labor, and the Growth of Government influence indirectly through the Human Development Index (HDI) of the total poor population in West Kutai.


2019 ◽  
Vol 16 (1) ◽  
Author(s):  
M Iksan Umsohy

This study aims to test and analyze: 1 Influence of Capital Expenditure Allocation to Economic Growth, 2 Influence of Allocation of Capital Expenditure and Economic Growth to Human Development Index, 3 Influence of Capital Expenditure Allocation, Economic Growth and Human Development Index to Poverty in Districts / Cities in North Maluku Province. The research method used is panel data regression. The results of this research founded that model 1 influence of Capital Expenditure Allocation have significant influence to Economic Growth. Model 2 Capital Expenditure Allocation has a positive but insignificant influence on the Human Development Index even though the increase is not significant while Economic Growth has positive and significant effect on Human Development Index while model 3 allocation of Capital Expenditure has positive and significant influence to Poverty. While Economic Growth has a negative impact on Poverty, Furthermore, Human Development Index (HDI) as an indicator of strengthening of human resources has a negative and significant influence on Poverty level in 9 regencies of North Maluku Province.  Keywords: Allocation of Capital Expenditure, Growth, Human Development Index, Poverty  


2020 ◽  
Vol 8 (2) ◽  
pp. 732-743
Author(s):  
Erly Leiwakabessy ◽  
Amaluddin Amaluddin

Purpose of the study: Firstly, to construct a modified human development index by incorporating new dimensions (democracy and employment). Secondly, to measure and compare human development progress in Indonesian provinces. Thirdly, to examine the nexus between human development, economic growth, and democracy during the period 2010-2017. Methodology: Principle Component Analysis (PCA) method is employed to combining components into one index (composite index) which we call MHDI. The panel simultaneous equation model is applied to examine the nexus between human development, economic growth, and democracy. Main Findings: There were significant ranking differences between MHDI and HDI-UNDP in 24 provinces of 33 Indonesian provinces. The most significant ranking differences were found in several provinces, especially Maluku, West Java, Central Java, East Java, and Central Kalimantan. The study found a strong two-way relationship between human development and economic growth as well as between human development and democracy. Applications of this study: This study recommends that human development policies supported by rapid economic growth and democratic stability should be one of the development priorities through government spending and support from private investment (the private sector) which focuses on the development of education and health infrastructure throughout the Indonesian province. Novelty/Originality of this study: This study employs different methods for constructing a human development index by incorporating a new dimension (democracy and employment).


2020 ◽  
Vol 2 (3) ◽  
pp. 169-176
Author(s):  
Puji Yuniarti ◽  
Wiwin Wianti ◽  
Nandang Estri Nurgaheni

Purpose- This study aims to determine the factors of economic growth in 34 provinces in Indonesia. The variables used include labor force participation rate, human development index, Poverty Level, unemployment rate, income inequality, and economic growth. Methods- Secondary data from the Central Bureau of Statistics were processed using multiple linear regression. Findings- The study show that only force participation rate and unemployment rate were proven to significantly affect economic growth, while human development index, poverty level, and income inequality were not statistically significant. Implications- This study can provide important information on the factors shaping economic growth as a basis for future decision making. Abstrak Tujuan- Penelitian ini bertujuan untuk mengetahui faktor-faktor pertumbuhan ekonomi di 34 provinsi di Indonesia. Variabel yang digunakan antara lain tingkat partisipasi angkatan kerja, indeks pembangunan manusia, tingkat kemiskinan, tingkat pengangguran, ketimpangan pendapatan, dan pertumbuhan ekonomi. Metode- Data sekunder dari Badan Pusat Statistik diolah dengan menggunakan regresi linier berganda. Temuan- Studi tersebut menunjukkan bahwa hanya tingkat partisipasi angkatan dan tingkat pengangguran yang terbukti secara signifikan mempengaruhi pertumbuhan ekonomi, sedangkan indeks pembangunan manusia, tingkat kemiskinan, dan ketimpangan pendapatan tidak signifikan secara statistik. Implikasi- Studi ini dapat memberikan informasi penting tentang faktor-faktor yang membentuk pertumbuhan ekonomi sebagai dasar pengambilan keputusan di masa depan


2019 ◽  
Vol 8 (3) ◽  
pp. 170-183
Author(s):  
Dzaki Furqoni ZA ◽  
Junaidi Junaidi ◽  
Adi Bhakti

Study are as follows: To analyze the effect of economic growth, poverty level, government expenditure and open unemployment on the Human Development Index (HDI) of the Provincial Provinces in Sumatra for the period 2013-2017. Based on the results of the study that economic growth has a significant effect on the human development index. Poverty level has a significant effect on the human development index. Open unemployment has a significant effect on the human development index. Government expenditure has a significant effect on the Human Development Index. Keywords: Economic Growth, Poverty Level, Government Expenditures, Open    Unemployment Rate, and Human Development Index.


2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Yunita Firdha Kyswantoro

Poverty is one of the goals of the concept of sustainable development. Sustainable Development itself has many indicators such as economic, social, cultural, environment, etc. But in this study, the authors take only a few factors from an economic point of view. Economic growth, open unemployment rate, regional imbalance rate and human development index are some factors that are considered to describe poverty level in East Java Province. This research uses Fixed Effect (FEM) model panel data regression in 38 regencies/cities in East Java Province in 2011-2015. The results of this study indicate that the variables of economic growth and open unemployment variables have no significant effect in describing the level of poverty in East Java. While the variable level of regionalimbalance and variable of HDI have the significant effect on poverty in East Java. Therefore, to achieve sustainable development goals (SDGs), the reduction of poverty in various regions requires a balance of social and economic, not only through the increase of high economic growth but must be accompanied with equitable distribution of income distribution so that the level of regional inequality is smaller and by improving the quality of resources human beings through Human Development Index (HDI) in each region.


2019 ◽  
Vol 8 (2) ◽  
pp. 96-107
Author(s):  
Rahma Wardana Putri ◽  
Junaidi Junaidi ◽  
Candra Mustika

This study deals with the effect of economic growth, Human Development Index (HDI) and population density on the poverty levels of districts/cities in Jambi Province in 2013-2017. The type of data used in this study are combined secondary data from time series data and cross section data from 2013-2017. The data used is obtained from the official website of the Central Statistic Agency of Jambi Province. The analytical method used is panel data regression analysis. The result showed that the variabels of economic growth and population density had a siginificant effect on the poverty level of districts/cities in Jambi Province in 2013-2017. The coefficient of determination is 0.982702, which means that the independent variabels of economic growth, Human Developmet Index (HDI) and population density affect 98.27% of the dependent variabels of poverty in districts/cities in Jambi Province. Simultaneous test results (F test), show taht economic growth, Human Development Index (HDI) and population density simultaneously have a significant effect on the poverty level of districts/cities in Jambi Province. Keywords: Economic Growth, Human Development Index (HDI), Population Density, Poverty Level.


2020 ◽  
Vol 11 (1) ◽  
pp. 40
Author(s):  
Jasasila Jasasila

Human Development Index is used to measure how much impact arises from efforts to increase the ability of basic human capital. Human Development is a component of development through empowerment of the population that focuses on increasing the human base, judging from the population of Batang Hari Regency which is fluctuating and has the potential for human resources ready to be empowered. The implementation of regional autonomy gives flexibility to the Regional Government of Batang Hari Regency to carry out regional development more independently. Besides that what needs to be considered is the growth of the poor population, in Batanghari District the development of the poor population has also fluctuated, where in 2019 there was a decrease of 26.53% from the previous year. To measure poverty, BPS uses the concept of ability to meet basic needs approach. This is done in Batang Hari Regency, using data from 2011 - 2019. The type of data used in this study is Time Series data, which is the type of data consisting of variables collected according to the order of time within a certain timeframe, while the analytical methods used in This research is a quantitative method. Quantitative analysis is used to determine the Effect of Poverty Rate and Population Number on the human development index (HDI) in Batang Hari District 2011-2019. To analyze the influence of data analysis, this is done by using multiple linear regression models using Eviews program version 9.0. poverty level and Population simultaneously or together have a very significant effect on the Human Development Index in Batang Hari District 2011-2019. In this study the R2 value is 0.975311 which means a set of dependent variables (Poverty Rate and Population Number) in the model can explain the Independent variable by 97.53%. While the rest is explained by other variables outside the model that are not examined. Human Development Index (HDI) of Batang Hari 2011-2019 is 32.58 assuming other variables (Poverty Rate and Population Growth Rate are fixed or 0) From the equation it is known that poverty variable shows a coefficient of 0.03 meaning that if there is an increase in poverty level of 1 unit it will increase the HDI by 0.03% with the assumption that the Population Variable is 0. Whereas for the Total Population from the data processing, the result is 0.00013, meaning that every 1 person increase will increase the Human Development Index (HDI) by 0.00013%.


Author(s):  
Frances Stewart ◽  
Gustav Ranis ◽  
Emma Samman

This chapter explores the interactions between economic growth and human development, as measured by the Human Development Index, theoretically and empirically. Drawing on many studies it explores the links in two chains, from economic growth to human development, and from human development to growth. Econometric analysis establishes strong links between economic growth and human development, and intervening variables influencing the strength of the chains. Because of the complementary relationship, putting emphasis on economic growth alone is not a long-term viable strategy, as growth is likely to be impeded by failure on human development. The chapter classifies country performance in four ways: virtuous cycles where both growth and human development are successful; vicious cycles where both are weak; and lopsided ones where the economy is strong but human development is weak, or conversely ones where human development is strong but the economy is weak.


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 681
Author(s):  
Muhammad Fajar ◽  
Zul Azhar

This research aims to know and analyze determine of corruption and the human development index to economic growth in Southeast Asian countries. This research use panel least square and Fixed Effect Model. The estimation result should that corruption has a possitive and significant effect on economic growth in Southeast Asian countries and the human development Index has a possitive and significant effect on economic growth in Southeast Asian countries. From the result of this research, to increase economic growth, the government in SoutheastAsian countries must strengthen the bureaucratic and legal institutions of a country,increase the role of the government or related agencies in monitoring and crackingdown on corruption that results in lossof government productivity and allocating resources appropriately so that the creation of peace and prosperity among the countries in Southeast Asian. Keywords: Economic Growth, Corruption, Human Development Index


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