scholarly journals The Correlation of SDG 1 and 8 and Spatial Effect of Human Development Index in Central Java

2021 ◽  
Vol 940 (1) ◽  
pp. 012063
Author(s):  
R R Arriani ◽  
Chotib

Abstract Human Development Index (HDI) is the approach to measure socio-economics since 1990. Furthermore, integrating socio-economics with the environment brings the development of Sustainability Development Goals (SDGs). The relations between human development and sustainable development are complementary to build a better society. However, by 2020, the growth of HDI in Indonesia starts slowing down during Covid-19 to only 0,03% from the previous year. Central Java is one of the provinces that can still manage the HDI growth higher than Indonesia. This study aims to find the SDG 1 and 8 factors that affect HDI in Central Java with the spatial econometrics method to analyze the spatial dependency in variables. The variables of SDG 1 and 8 in this study are Ln Poverty Line, Ln GDRP per capita, unemployment, and poverty rate. This study shows that the SDG 1 and 8 variables have significant results and implicates spatial effects through Spatial Lag in the HDI of Central Java. The implication of this study is to encourage collaborative action in strengthening the implementation of SDGs and improving the HDI of the regions and cities in Central Java.

Media Ekonomi ◽  
2015 ◽  
Vol 23 (2) ◽  
pp. 77
Author(s):  
Muhammad Yudhi Lutfi ◽  
Agustina Suparyati

<em>The purpose of this study is to examine the effect of Human Development Index (HDI), Income and consumption expenditure on Poverty level in Western Indonesia region consisting of 18 provinces consisting of Central Java, West Java, East Java, Special Region of Yogyakarta, DKI Jakarta, Banten, Bangka Belitung, Bengkulu Aceh Darusalam, West Kalimantan, Central Kalimantan, North Sumatera, West Sumatera, South Sumatera, Lampung, Riau, Riau Islands and Jambi. By using a quantitative tool, the path model is divided into four substructures of equations. HDI positively affects income and consumption expenditure. The level of opinion has a positive relationship with the level of consumption whereas the income level of the community has a negative correlation to the poverty level. Consumption expenditure has a negative ridge to the poverty level and the dominant factor affecting the poverty rate directly is the human development index which means that if all access to guarantee human quality such as education, health and employment can be realized then it will reduce the poverty level in Indonesia West.</em>


Author(s):  
Solikhin Solikhin

One of the Central Java Provincial Government programs is to reduce the number of people living in poverty. The Central Java Provincial Government target in 2020 was to lower poverty rate to below ten percent. Therefore, it is necessary to determine factors affecting the poverty rate in Central Java. This study aimed to analyze the effect of the Human Development Index, total population, Gross Regional Domestic Product (GDRP), and the impact of the Covid-19 pandemic on the poverty rate in regencies/municipalities in Central Java.  The study on the impact of the Covid-19 pandemic on the poverty rate in Central Java Province has never been carried out. This study was different from the previous studies. This study used panel data regression by using 2018-2020 data from Statistics Indonesia (BPS). In this study, the result of the best model selection was the random effect model. The result of this study indicated that Human Development Index (HDI) had a negative and significant effect, total population had a positive and insignificant, GRDP had a negative and significant effect, and the impact of Covid-19 pandemic had a positive and significant effect on the poverty rate. Keywords: Impact of Covid-19, Human Development Index, Population,                    Poverty Rate, Gross Regional Domestic Product.


2018 ◽  
Vol 15 (2) ◽  
pp. 177-185
Author(s):  
Heppi Syofya

Human development is defined as a process for enlarging people's choices, the Human Development Index is a benchmark of human development achievement based on a number of basic components of the quality of life of IPM is built through a basic three-dimensional approach that is 1). Dimensions of longevity and healthy life (a long and healthy life), 2). Knowledge and 3). Decent standard living, through the improvement of these three indicators is expected to increase the quality of human life due to individual heterogeneity, geographical disparity and societal conditions vary so that the level of income is no longer the main benchmark in calculating the success rate of development and success, poverty is a condition that is below the minimum standard of needs, both for food and non-food items called the poverty line or poverty treshold, the poverty rate and economic growth have a significant effect on the Index Human Development in Indonesia and economic growth have an influence on the Human Development Index in Indonesia


2018 ◽  
Vol 18 (2) ◽  
pp. 416
Author(s):  
Heppi Syofya

Human development is defined as a process for enlarging people's choices, the Human Development Index is a benchmark of human development achievement based on a number of basic components of the quality of life of IPM is built through a basic three-dimensional approach that is 1). Dimensions of longevity and healthy life (a long and healthy life), 2). Knowledge and 3). Decent standard living, through the improvement of these three indicators is expected to increase the quality of human life due to individual heterogeneity, geographical disparity and societal conditions vary so that the level of income is no longer the main benchmark in calculating the success rate of development and success, poverty is a condition that is below the minimum standard of needs, both for food and non-food items called the poverty line or poverty threshold, the poverty rate and economic growth have a significant effect on the Index Human Development in Indonesia and economic growth have an influence on the Human Development Index in Indonesia


2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Nurisqi Amalia ◽  
Anisa Nurpita ◽  
Rina Oktavia

Papua Province is one of the poorest provinces in Indonesia. Some of the variables that affect health levels including Human Development Index (HDI) and unemployment rate. This research analyzes Human Development Index and unemployment rate to poverty level in districts/cities in Papua Province during 2010-2015. Research data used in this research is secondary data from Central Bureau of Statistics of district/city in Papua Province. The independent variables used are open unemployment rate and Development Index. While the dependent variable used is poverty level in districts/citis in Papua Province year 2010-2015. The analysis tool used is regression with panel data. The result of this research shows that the average of district/city’s poverty rate in Papua 2010-2015 is 32,34 percent. The highest level is in District Deiyai and the lowest is in District Merauke. The Human Development Index has decreased significantly to the poverty rate of district/city in Papua Province, while the open unemployment rate is positive to the poverty rate of district/city in Papua Province. Human Development Index and open unemployment rate as a whole and together affect poverty level in district/city in Papua Province.


Author(s):  
Roni Yoga Irawan ◽  
Wawan Laksito Yuly Saptomo ◽  
Setiyowati Setiyowati

The basic goal in quality human development is to overcome problems in society are poverty, unemployment, illiteracy, food security and democracy enforcement. But in its achievements there are several aspects of development that failed. To measure the success of a region's performance in the field of human development can be done by calculating the Human Development Index. The Human Development Index is an index that includes three indicators, which are health indicators, education level, and economic indicators. The Province of Central Java is divided into 29 districts and 6 cities, so it has a varied picture of development. Provinsi Jawa Tengah belum memiliki media informasi peramalan yang berbasis peta untuk indeks pembangunan manusia. Dari permasalahan tersebut diperlukan metode untuk meramalkan Indeks Pembangunan Manusia yang berbasis sistem informasi geografis.Data indikator penyusun Indeks Pembangunan Manusia yang mengalami kenaikan pada periode-periode tertentu, dari pola data indikator penyusun Indeks Pembangunan Manusia merupakan pola data yang memiliki unsur trend. Maka pada penelitian ini menggunakan metode double exponential smoothing.The application forecasting the Human Development Index indicator is created using the PHP programming language and the MySQL Server database. Application of Human Development Index forecasting produces forecasting calculations with the value α = 0.9 produces forecasting the following year: 69.3612 with the smallest MSE error: 0.1578 and MAPE value: 0.4894. This study produces accurate forecasting because of low error values.


Author(s):  
Bonifasia Elita Bharanti

The structure of Regional Development Budget (hereafter APBD) of Papua Province, which is mostly sourced from  Government transfers tends to increase every year. This requires prioritising the use of capital expenditure that can improve the welfare of the community. However, it is an irony that the poverty rate in Papua Province ranks first in Indonesia as indicated by the Human Development Index (HDI), below the national average HDI. The objective  to analyse the structure of the APBD (General Allocation Fund - hereafter DAU, Special Allocation Fund - hereafter DAK and Revenue Sharing Fund - hereafter DBH) and financial performance of Papua's Human Development Index in 2013-2018 with capital expenditure as an intervening variable. Quantitative approach is used with secondary data type, which is processed using the IBM SPSS Amos application.  This study indicate that the increasing APBD structure will be able to increase the HDI but capital expenditure does not mediate the APBD structure to the HDI. Furthermore, financial performance has no impact on increasing the HDI as the capital expenditure does not mediate financial performance on the human development index.


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).


2021 ◽  
Vol 3 (2) ◽  
pp. 126-140
Author(s):  
A. Jauhar Mahya

The Human Development Index (HDI) is one of the data and information used by local governments to measure the achievement of human development. HDI is formed by three basic dimensions, namely a long and healthy life, knowledge, and a decent standard of living. This study explain whether there is an influence and to obtain the magnitude of the influence of the expected number of years of schooling, the average length of schooling, and the per capita expenditure together on the Human Development Index in Central Java Province. This study was completed using multiple linear regression analysis with the help of SPSS 1.6 (Statistical Package for Social Sciences) software. The results of this study indicate that the expected length of schooling, average length of schooling, and per capita expenditure have a significant effect on the human development index, which is 97.8% and only 2.2% is influenced by other factors.


JEJAK ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 412-428
Author(s):  
Niken Sulistyowati ◽  
Bonar Marulitua Sinaga ◽  
Novindra Novindra

The objective of this reseach are to: (1) analyze the factors affecting human development index and household expenditures for health, education and others, (2) predict the impacts of government expenditure policy in the field of education, health, and infrastructure on human development index in Central Java. The model was built using econometric approach in the form of a system of simultaneous equations, including five blocks i.e. government's revenue, expenditures, input, output, and performance. The system of simultaneous equations consisted of 26 equations (19 structural equations and 7 identity equations). The estimation method used Two Stage Least Squares with SYSLIN procedure. Prediction simulation used the stepwise Autoregressive method. The model simulation used Newton's method and SIMNLIN procedure. The results of policy simulation concludes that the combination of the increase in government expenditure for education and infrastructure lead to better performance in increasing income per capita, disposable income and HDI compared to the combination of the policy of the increase in government expenditure for education and in both municipalities and district, but municipalities receive greatest impact compared to the district.


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