To see the other types of publications on this topic, follow the link: Human development index (HDI).
Journal articles on the topic 'Human development index (HDI)'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Human development index (HDI).'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Mihci, Hakan, Mehmet Tolga Taner, and Bulent Sezen. "Employment-adjusted Human Development Index." South East European Journal of Economics and Business 7, no. 2 (November 1, 2012): 115–37. http://dx.doi.org/10.2478/v10033-012-0020-8.
Full textAbstract:
Abstract Purpose - The current HDI has a limited capacity to reflect the human condition and country rankings in an accurate way. In addition, the main critiques on the HDI suggest that it uses very few or perhaps the wrong indicators in measuring human development levels in countries. This paper aims to investigate whether the inclusion of employment as a criterion in the HDI would yield a different ranking of nations. Design/methodology/approach - In this study, estimates of the proposed Employment-adjusted Human Development Index (E-HDI) are provided for seventy-seven countries for the 2000-2007 period, and comparisons are made both for changes in the human development index (HDI) and rankings over time in each country and for differences between the E-HDI and the UNDP’s HDI across countries. Findings - The experience of a relatively large number of 77 sample countries has offered promising results for the path to improve the current status of the HDI, and hence, to overcome its weakness in terms of ranking of countries. The additional indicator, i.e. employment, improves the explanatory power of the HDI and makes significant contributions to its reliability. Research limitations/implications - The major limitation of the present study has been the lack of data for a number of the human development indicators for the rest of the countries in the world. Practical implications - The employment-adjusted index has great potential to make the HDI more operational. Social implications - By means of E-HDI, the human development performance of the countries can be better evaluated and compared with other countries by using additional information obtained from the employment position of their citizens. Originality/value - This will be the first paper in the literature that incorporates employment into the HDI..
2
Susanto, Joko, and Didit Welly Udjianto. "Human Capital Spillovers and Human Development Index in Yogyakarta Special Region and Central Java." INTERNATIONAL JOURNAL OF INNOVATION AND ECONOMIC DEVELOPMENT 5, no. 2 (2019): 57–64. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.52.2004.
Full textAbstract:
This study analyzes the spillover of human capital in the Yogyakarta Special Region and Central Java. The research data includes the Human Development Index (HDI), capital, the ratio of college graduate workers, and the number of medical personnel in 2017 published by the Central Bureau of Statistics (BPS). This study uses a Spatial Regression analysis that includes elements of human capital spillover estimated by Geoda software. The results showed that there was a spillover of human capital between regencies/cities in Yogyakarta Special Region and Central Java. Lambda coefficient value, in Spatial Error Model (SEM), amounting to 0.5074 indicates that the Human Development Index (HDI) score of each regency/city will get an influence of 0.5074 multiplied by the HDI value of the neighboring regency/city. The capital variable is significant and exhibits that a rise in the HDI score will follow an increase in the number of capital. However, the ratio of college-educated worker and medical personnel is not significant. Due to the linkages between these provinces, the regency government and the provincial government should synergize each other, especially in the formulation of economic policies.
3
Ryumina, Elena V. "Ecologically adjusted human development index." POPULATION 23, no. 1 (2020): 4–12. http://dx.doi.org/10.19181/population.2020.23.1.1.
Full textAbstract:
The article offeres an approach to including ecological factor in the Human Development Index (HDI). HDI is aimed at reflecting the quality of life of population, which is defined along with other important characteristics and state of environment. However, there is still no ecological living conditions of population in the formalized representation of HDI. Two directions of constructing ecologically adjusted HDI are developed: introducing ecological index to HDR, and using ecologically adjusted GDP/GRP in income index. Ecological index reflecting the state of environment in the places of residence and recreation of population is constructed on the basis of indicators of the number of air/water samples exceeding the ambient standards, as a percentage of the total number of examined samples. This indicator is presented in the annex to the statistical handbook «Environment Protection in Russia» for all regions. It is offered to modify the index of income in HDI by subtraction of the economic damage caused by pollution from income, as this part of income does not go to growth of the population welfare, but only compensates for the damage. For implementation of this approach there is no official statistics, and in the study was used the database accumulated by the author over many years of ecological-economic research. As a result, there was calculated ecologically adjusted HDI for all 85 regions in comparison with the traditional HDI. In 14 regions with the best ecological situation the HDI value grew, in the others it decreased. Some of the regions formerly leading by the HDI value lost their positions. Comparing the impact on HDI of ecological index on the one hand, and of modifications of income index on the other, showed an incomparably greater role of the introduction of ecological index.
4
Ali Rama, Ali Rama. "Construction of Islamic Human Development Index." journal of king Abdulaziz University Islamic Economics 32, no. 1 (January 3, 2019): 43–64. http://dx.doi.org/10.4197/islec.32-1.3.
Full textAbstract:
The existing HDI concept is value neutral and unable to capture the religious and ethical perspective of socio-economic development in Muslim countries. It is argued that Muslim countries have some special features, cultures, and values that are not completely accommodated by the HDI measurement. Therefore, the current study is an attempt to propose an Islamic Human Development Index (I-HDI) as a holistic and comprehensive index for human development derived from the five dimensions of maq??id al-Shar??ah: religion (d?n), life (nafs), intellect (?aql), family (nasl) and wealth (m?l). The computation method of an I-HDI is parallel with the HDI method. The constructed index is utilized to rank the human development level for 33 provinces in Indonesia. The study finds that the composition rank between I-HDI and HDI is slightly different. However, the two indices have a statistical positive correlation confirming the assumption that I-HDI might serve as a predictor for the rank of HDI. The findings also show that the majority of the provinces in Indonesia have a poor performance in overall score of I-HDI.
5
Nor, Wahyudin, Muhammad Hudaya, Rifqi Novriyandana, Dewi Lesmanawati, and Melllani Yuliastina. "HUMAN DEVELOPMENT INDEX AND AUDIT OPINION." JOURNAL OF AUDITING, FINANCE, AND FORENSIC ACCOUNTING 6, no. 1 (April 19, 2018): 13–22. http://dx.doi.org/10.21107/jaffa.v6i1.4326.
Full textAbstract:
This study aims to investigate: the influence of human development indeks (HDI) and growth of HDI on auditor opinion and the difference between the level of HDI entities that get the predicate of qualified opinion or non qualified opinion. The data of this research comprise 1.482 out of 496 regency/cities governments in Indonesia during 2014-2016. The analysis techniques used are multiple regression and independent simple t test. The results of this study show that the human development indeks has influence on auditor opinion, the growth of human development indeks has influence on auditor opinion. The results of this study also found that the average performance of HDI between regency/ cities in Indonesia is different between of qualified opinion or non qualified opnion.
6
Taner, Mehmet, Bülent Sezen, and Hakan Mıhcı. "An Alternative Human Development Index Considering Unemployment." South East European Journal of Economics and Business 6, no. 1 (April 1, 2011): 45–60. http://dx.doi.org/10.2478/v10033-011-0005-z.
Full textAbstract:
An Alternative Human Development Index Considering UnemploymentThe Human Development Index (HDI) has played an influential role in the debate on human development (HD) for many years. However, no index is perfect and neither is the HDI of the United Nations Development Program (UNDP). This paper aims to construct a new composite index for the development performance of a sample of 30 Organization for Economic Co-operation and Development (OECD) countries by adding a fourth indicator, namely the unemployment index, to the calculation of HDI. The addition of the unemployment factor to the HDI as a new indicator has the potential to make the index more comprehensive and present a suitable approach for assessing the development performance of countries.
7
Nuralam, Nuralam. "Human Development Index (HDI) in Papua Province." Journal of Social and Development Sciences 6, no. 3 (September 30, 2015): 24–29. http://dx.doi.org/10.22610/jsds.v6i3.848.
Full textAbstract:
This study aims to determine the effect of the health index, education index and the index of the economic growth of Papua Province simultaneously and partially. The analytical method used was a panel data regression analysis with Pooled Least Square method. The results showed that the index of health, education index and the index of purchasing power simultaneously and significant affect on economic growth in Papua province, while the partial test results showed that the index of education and purchasing power index affect economic growth positively and significantly, while the health index has no significant effect on the economic growth of Papua Province.
8
Çilingirtürk, Ahmet M., and Habip Koçak. "Human Development Index (HDI) Rank-Order Variability." Social Indicators Research 137, no. 2 (March 29, 2017): 481–504. http://dx.doi.org/10.1007/s11205-017-1605-5.
Full text
9
Septiarini, Maya Masita, and Sri Herianingrum. "Analisis I-HDI (Islamic-Human Development Index) di Jawa Timur." Jurnal Ekonomi Syariah Teori dan Terapan 4, no. 5 (December 15, 2017): 381. http://dx.doi.org/10.20473/vol4iss20175pp381-395.
Full textAbstract:
This research aims to analyze the human development achievement in East Java in 2010-2014 which is measured based on islamic-human development index. This research also compares towards the human development achievement based on HDI (Human Development Index) and I-HDI. The research method used in this research is descriptive qualitative with 11 secondary data from BPS/Central Statistic Body and two calculation data from I-HDI. The result from the calculation of I-HDI shows that the majority of cities kota/regencies in East Java during 2010-2014 were in mid end to low end category, with relatively far disparity among regencies/cities. Meanwhile, from the result of calculation of HDI, mostly the human development achievement in East Java were in mid end to high end category. This explains that I-HDI is more comprehensive in measuring the human development achievement compared to I-HDI.
10
Radovanovic, Bojana. "Human development index as a measure of human development." Filozofija i drustvo 22, no. 3 (2011): 193–208. http://dx.doi.org/10.2298/fid1103193r.
Full textAbstract:
Human development is ?a process of expanding the real freedoms that people enjoy? (Sen 1999: 3). Therefore, widening of people?s choices should be the goal of the public policies aiming at human development promotion. In order to assess the level of human development, to compare it with other countries? achievements, or to evaluate different policy proposals, decision-makers have to rely on an accurate indicator of human development. Since gross national product (GNP) and gross domestic product (GDP) could not serve this function, the human development index (HDI) has been introduced as a more adequate measure. The aim of this paper is to discuss whether human development index reflects the basic tenets of human development. The arguments presented lead to the conclusion that the HDI does not fully reflect the ideas of human development. Since human development is much broader concept than any individual indicator could capture, country?s level of development should be assessed by the combination of different indicators.
11
Vulandari, Retno Tri, Sri Siswanti, Andriani Kusumaningrum Kusumawijaya, and Kumaratih Sandradewi. "Classification of Human Development Index Using K-Means." Indonesian Journal of Applied Statistics 2, no. 1 (July 5, 2019): 1. http://dx.doi.org/10.13057/ijas.v2i1.28566.
Full textAbstract:
<p>Human development progress in Central Java. It is characterized by a continued rise in the human development index (HDI) of Central Java. HDI is an important indicator for measuring success in the effort to build the quality of human life. HDI explains how residents can access the development results in obtaining a long and healthy life, knowledge, education, decent standard of living and so on. HDI is affected by four factors, namely life expectancy, expected years of schooling, means years of schooling, and expenditure per capita. Currently the Central bureau of statistics do grouping HDI, using calculation formula then known how the value HDI each regency or city in Central Java. In this research we classified the regency or city in Central Java based on the HDI be high, middle, and under estimate area. We used cluster analysis. Cluster analysis is a multivariate technique which has the main purpose to classify objects based on their characteristics. Cluster analysis classifies the object, so that each object that has similar characteristics to be clumped into a single cluster (group). One of the cluster analysis method is <em>k</em>-means. The result of this research, there are three groups, high estimate area, middle estimate area, and under estimate area. The first group or the under estimate area contained 12 regencies, namely Cilacap, Purbalingga, Purworejo, Wonosobo, Grobogan, Blora, Rembang, Pati, Jepara, Demak, Pekalongan, and Brebes. The second group or the middle estimate area contained 8 regencies, namely Banjarnegara, Kebumen, Magelang, Temanggung, Wonogiri, Batang, Pemalang, and Tegal. The third group or the high estimate area contained 11 regencies, namely Banyumas, Kudus, Boyolali, Klaten, Sukoharjo, Karanganyar, Sragen, Semarang, Kendal, Surakarta, and Salatiga.</p><p><strong>Keywords</strong><strong> : </strong>cluster analysis, <em>k</em>-means, the human development index.</p>
12
Y. Uppal, Jamshed, and Syeda Rabab Mudakkar. "Human Development and Economic Uncertainties: Exploring Another Dimension of Development." LAHORE JOURNAL OF ECONOMICS 18, Special Edition (September 1, 2013): 305–34. http://dx.doi.org/10.35536/lje.2013.v18.isp.a14.
Full textAbstract:
This study makes the case that economic uncertainties—i.e., the extent to which economies face systemic uncertainties—need to be considered another dimension of human development because they render development vulnerable, diminish social welfare, and constrain human capabilities. We propose a methodology for adjusting the human development index (HDI) for economic uncertainties, using the time variability of income changes as a proxy. We construct an adjusted index associated with the income component for the 2011 HDI. Our analysis indicates that such an index contains additional information. The percentage loss in the income component of the HDI seems to reflect the variability in economic indicators arising from the political and economic tribulations experienced by each country. In Pakistan’s case, the results of a timeseries analysis of the percentage loss from the uncertainty adjustment appear to closely trace the country’s political and economic upheavals.
13
Sharma, Shalendra D. "Making the Human Development Index (HDI) gender-sensitive." Gender & Development 5, no. 1 (February 1997): 60–61. http://dx.doi.org/10.1080/741922304.
Full text
14
Sheikholeslami, Seyed Mousa. "Effect of Democracy and Land Language on Human Development Index." Journal of Education and Learning 10, no. 5 (August 30, 2021): 84. http://dx.doi.org/10.5539/jel.v10n5p84.
Full textAbstract:
The factors that affect Human Development Index have been investigated extensively in previous researches. These studies consider education as an important factor and focus on the quality of education such as teachers’ skills, educational facilities and student conditions. Democracy has also been established as an important factor in HDI. In this study, we examined two variables, the democracy index and the land language index as fundamental variables of the Human Development Index (HDI). The land language index is a new variable created to signify the importance of the medium of instruction in higher education institutes, particularly in the Science, Technology, Engineering and Mathematics (STEM) fields. We performed a multiple-correlation analysis with the available data to find the correlation of these two indices on HDI. We found that together, the democracy index and land language index had a strong correlation to HDI. The results of this study can have a significant impact on social scientists and policymakers and should be considered for further research.
15
Bechtel, Gordon, and Timothy Bechtel. "American GDP Alone Predicts Human Development." Advances in Social Sciences Research Journal 7, no. 9 (September 18, 2020): 273–82. http://dx.doi.org/10.14738/assrj.79.9012.
Full textAbstract:
Bechtel (2018, 2019) linked gross domestic product (GDP) to the United Nation’s Human Development Index (HDI). These results at the national level, and subsequent results at the global level (Bechtel, G. and Bechtel, T., 2020), induce our hypothesis that a transform of American GDP predicts global HDI. This hypothesis is confirmed by two distinct bilinear regressions in which global HDI is predicted by American GDP alone.
These empirical findings contribute to the socioeconomic and philosophical debate on the nature of well-being. They also show that HDI computation can be carried out from American GDP without survey sampling, questionnaire interrogation, probabilistic inference, significance testing, or even HDI data. In view of trade-war and covid-19 shocks to all national economies, international attention to American GDP is now compelling.
16
Šikman, Mile, and Miloš Grujić. "Relationship of Anti-Money Laundering Index with GDP, financial market development, and Human Development Index." Nauka, bezbednost, policija 26, no. 1 (2021): 21–33. http://dx.doi.org/10.5937/nabepo26-29725.
Full textAbstract:
Money laundering has a direct impact, among other things, on the economic development of a country. The aim of this research is to determine the correlation between money laundering and economic development expressed through GDP, as well as between financial market development (FDI) and the Human Development Index (HDI). The results of the research show that there was a significant relationship between the observed variables, i.e. that there is a relation of the Anti-Money Laundering Index (AMLI) on GDP, financial market development and the HDI. Namely, given that medium-strong links between the observed variables have been established, it can be claimed that there is reason to believe that "copying the behaviour" of a certain country in the fight against money laundering can further develop the financial market, influence human development or an increase in GDP per capita. In particular, a decrease in the AMLI was expected to increase the FDI (R2 = 0.2601). A decrease in the AMLI was expected to increase the HDI (R2 = 0.5747). In that way, financial institutions are directly affected, which negatively relates to economic and political stability.
17
Lasdiyanti, Mita, Eka N. Kencana, and Putu Suciptawati. "Modeling Human Development Index of Bali with Spatial Panel Data Regression." European Journal of Engineering Research and Science 4, no. 5 (May 28, 2019): 132–37. http://dx.doi.org/10.24018/ejers.2019.4.5.1312.
Full textAbstract:
Human development index (HDI) is an index that represents the successfulness of human development in a region. For Bali, one of 34 provinces in Indonesia, the progress of HDI in the period 2010–2017 showed an increasing trend. In the year 2010, the Bali’s HDI is accounted for 70.10, gradually increase to 74.30 in the year 2017. However, in 2017 there are some regions with their HDIs are below of Bali’s HDI, namely Jembrana, Buleleng, Klungkung, Bangli, and Karangasem. The aim of this work is to model the HDI of 9 regencies of Bali so that the main determinant to increase the HDIs especially for the regencies with lower HDIs could be determined. The model consists of one dependent variable (HDI) with three indicators as the independent ones, there are (a) life expectancy, (b) education, and (b) standard of living. By applying spatial panel data analysis, five models were built i.e. CEM, FEM (individual), FEM (time), REM, and spatial error FEM to determine the effect of each indicator. The result shows the best model is spatial error FEM in which education has the biggest influence compare than the others.
18
Jopp, Tobias A. "Ein glücksökonomisch modifizierter Human Development Index für Deutschland (1920-1960)." Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook 58, no. 1 (May 24, 2017): 239–78. http://dx.doi.org/10.1515/jbwg-2017-0010.
Full textAbstract:
Abstract The United Nations’ Human Development Index (HDI) has become an important tool for measuring and comparing living standards between countries and regions. However, the HDI has also attracted a fair share of conceptual criticism. Starting from Andrea Wagner’s historical estimations of a HDI for Germany in the interwar and early postwar period, we take up part of that criticism by implementing three essential modifications to the mode of calculation. We test how far they alter our picture of the relative living standard in the Weimar Republic, the Third Reich, and the Federal Republic of Germany. First, we replace the arithmetic mean by the geometric mean, which is said to solve the problem of perfect substitutability; second, we extend the HDI by an additional fourth dimension measuring economic and political freedom – an important, though neglected, dimension; and third, as the perhaps most crucial conceptual intervention, we develop weighting schemes for the partial indices that are theoretically backed by happiness economic research. Thus, we challenge the common, but arbitrary fundamental assumption that all partial indices receive equal weights. Our results show that the HDI for Germany reacts very sensitively to conceptual interventions, making it difficult to use it for the intertemporal and international comparison of living standards. We also find that the proposed modified HDIs allow for a re-evaluation of the living standard in interwar Germany; and in contrast to what the reference estimations on the HDI for Germany say, there is a profound discontinuity between the Third Reich and post-war Germany in terms of living standards.
19
Yanuar, Ferra, Mardha Tillah, and Dodi Devianto. "Modeling of Human Development Index Using Ridge Regression Method." EKSAKTA: Berkala Ilmiah Bidang MIPA 19, no. 2 (October 30, 2018): 1–11. http://dx.doi.org/10.24036/eksakta/vol19-iss2/134.
Full textAbstract:
This article aims to model factors affecting HDI (Human Development Index) in North Sumatera by 2015 using ridge regression method. This ridge regression method is used because in the IPM data there is a multicolinearity problem so that the least squares regression method, as regression method commonly used in statistical modeling, is not suitable for use any more. This study compares the models resulting from the use of the least squares method and the ridge regression method to the HDI data. This study proves that the ridge regression method produces a better model and can eliminate the multicolinearity effect, while the least squares method can not. The significant factors in affecting HDI on North Sumtera data in 2015 are Average School length and Total expenditure / capita / month. The indicator of the goodness of this ridge regression model is 81.81% which means that the model is good and could be accepted.
20
Kaukab, M. Elfan, and Surwandono Surwandon. "CONVERGENCE OF HUMAN DEVELOPMENT INDEX: CASE STUDY OF FOREIGN DIRECT INVESTMENT IN ASEAN." Business: Theory and Practice 22, no. 1 (January 13, 2021): 12–17. http://dx.doi.org/10.3846/btp.2021.12153.
Full textAbstract:
This article examines the role of bilateral FDI and income convergence in affecting HDI increase in countries with middle HDI in ASEAN. The ASEAN Economic Community has been developing and it is expected that the gaps between nations can be covered. This article explores how economic intervention through HDI and income convergence can boost HDI improvement. The writers examine the presence of a statistically significant causal relationship between source country’s GDP, home country’s GDP, source country’s FDI towards the home country, source country total FDI, home country total FDI, and the percentage of source country FDI towards source country total FDI with both countries HDI convergence. Measurement is carried out using the generalized method of moments. Based on yearly samples of high HDI countries (Malaysia, Thailand, Singapore) couple with medium HDI countries (Laos, Vietnam, Cambodia, Myanmar, Indonesia, and Philippine) during 2013–2017 period, the writers find statistically significant impact of home country GDP, source country FDI towards all countries, and FDI percentage of the home country compared to all countries.
21
Nasution, Hamonangan, and Eko Wahyu Nugrahadi. "THE INFLUENCE ANALYSIS OF HUMAN RESOURCES, CAPITAL INCOME, DEVELOPMENT EXPENDITURE BUDGET AND REAL GRDP ON HUMAN DEVELOPMENT INDEX IN MANDAILING NATAL REGENCY." Quantitative Economics Journal 9, no. 2 (February 28, 2021): 1. http://dx.doi.org/10.24114/qej.v9i2.23600.
Full textAbstract:
Quality of Human Resources in developing countries and poor countries is a very serious issue to be addressed . When the quality of human resources do not keep pace with the progress of time involved will lead to underdevelopment , poverty and unemployment which in turn trigger the overflow gap , inequality and adversity . This study aims to look at and determine how much influence Number of Qualified Persons , Budget Development, Real Gross Domestic Product and Shopping Structural Transformation of the Human Development Index in Mandailing Natal Regency . Used in measuring and analyzing time series data ( time series ) in the form of quarters in the period 2003 : Q1 - 2012 : Q4 . Data analysis using OLS ( Ordinary Least Square ) which is multiple regression . The results showed RHQ variable positive and significant effect on the HDI Mandailing Natal district , ABP variablespositive and significant effect on the HDI Mandailing Natal Regency ,any one significant negative effect on the HDI in Mandailing Natal Regency is Shopping Structural Transformation , while variable GRDPCP positive and significant impact on HDI of Mandailing Natal Regency. in α = 5%. The result of the regression model of HDI policy is R-squered=0,8967 whereas the presence of the model is R-squered BTS= 0,8907 in Mandailing Natal Regency, after the classic test. This means that in thebase stations are very well organized affect HDI, whereas if done deviation will adversely affect the HDI.
22
SHAMSUTDINOVA, Nailya K., Elmira I. ISIANGULOVA, Irina A. LAKMAN, Vadim B. PRUDNIKOV, and Liana F. SADIKOVA. "Spatial Distribution of Human Development Index in the Regions of Russia." Journal of Advanced Research in Law and Economics 8, no. 8 (September 5, 2018): 2594. http://dx.doi.org/10.14505//jarle.v8.8(30).31.
Full textAbstract:
Spatial effects in human development levels among different regions of a territory are important to study in the context of the core-periphery model. We use different methods to study human development index (HDI) for 85 Russian regions. The authors studied the human development index (HDI) for 85 Russian regions. Methods of spatial statistics (econometrics) are used to estimate the ‘spatial gradient’ in economic geography (Moran’s global and local I, Geary’s C, Getis-Ord global G indices). As a weighting matrix we used a contiguity matrix, taking into account the HDI levels only in neighboring regions. Analysis of the global indices of Moran’s I, Geary’s C and Getis-Ord G and Morans scatter plots showed the presence of time-inconsistent spatial autoregressive dependence of the level of HDI in regions of Russia. The ‘spatial gradient’ of the level of human development in Russia is influenced by historically existing imbalances (due to strong oil and gas export-oriented nature of the economy) and insufficient use of human capital. To our view the regional differentiation in human development among the regions is caused primarily by the ‘catching up’ style of Russian economy: human capital is concentrated in regions with already high level of development, although in terms of growth rates Moscow and St. Petersburg are not the leaders. The territorial and geopolitical policies of Russian Federation also influence HDI distribution. For example, huge public investments in the regions of Russian Far East are often ineffective.
23
Wati, Aprilia Dwi Anggara, and Laelatul Khikmah. "Modeling Spatial Error Model (SEM) On Human Development Index (IPM) In Central Java 2018." Journal of Intelligent Computing and Health Informatics 1, no. 2 (September 30, 2020): 48. http://dx.doi.org/10.26714/jichi.v1i2.6341.
Full textAbstract:
The Human Development Index (HDI) is a human development index that is used to achieve the development outcomes of a region. HDI is formed by 3 basic dimensions, namely the health dimension as seen from the indicator of life expectancy at birth, the dimension of knowledge seen from a combination of indicators of average length of schooling and expectation of school years and dimensions of decent living standards as seen from the indicator of average per capita expenditure has been adjusted. The development of HDI in Central Java shows an increase every year. In 2018 the HDI figure for Central Java Province reached 71.12% and increased by 0.6% from the previous year. This is because the large HDI figures in an area are influenced by the large HDI numbers in adjacent areas. The location / area factor is thought to have a spatial dependence effect on the HDI figure. This problem can be overcome by using spatial regression by including the relationship between regions into the model. The spatial regression approach used in this study is the Spatial Error Model (SEM). The weighting matrix used in this study is Queen Contiguity (intersection between sides and corners). This study provides results that the variables that significantly influence HDI are poverty and school enrollment rates.
24
Yogiantoro, Mukhammad, Diah Komariah, and Irawan Irawan. "Effects Of Education Funding In Increasing Human Development Index." JEJAK 12, no. 2 (December 27, 2019): 482–97. http://dx.doi.org/10.15294/jejak.v12i2.23391.
Full textAbstract:
Every citizen has the right to get education with the aim of educating the nation's life as mandated in the opening of the 1945 Constitution. This study aims to determine the efficiency of education funding both from the APBN and the APBD purely in relation to increasing HDI and educational performance. The study uses influence analysis with multiple regression and descriptive quantitative research, with 3 variables, namely the large variable education funding from APBD and APBN, Education Performance and Human Development Index. The sample selection method used was purposive sampling, namely in Regencys / Cities in Central Kalimantan in the Period of 2015 - 2017. Research resulted in a relationship between education funding and HDI, Education and Performance Funds for Education and HDI and Educational Performance. Educational performance in this case is measured by teacher qualifications, teacher certification, educational ratios (Teachers: Students and Classes: Students), facilities and infrastructures physical condition, Gross Participation Rate (APK), Pure Participation Rate (APM), and Dropout Numbers. In the multiple regression, the effect of education funding both from the APBD and the APBN does not affect more dominantly in increasing Human Development Index.
25
Rakowski, Witold. "Inequalities in socio-economic development in the world." Wiadomości Statystyczne. The Polish Statistician 60, no. 8 (August 28, 2015): 81–100. http://dx.doi.org/10.5604/01.3001.0014.8310.
Full textAbstract:
Based on the Human Development Report 2013 the author presents classification of the countries taking into account HDI value in 2012, non-income HDI and the IHDI (Inequality – Adjusted Human Development Index). IHDI reflects disparities in the income distribution. 187 states of the report are divided into 12 groups by the HDI total value.
26
WIBOWO, MUHAMMAD GHAFUR. "QUALITY OF HUMAN DEVELOPMENT INDEX (HDI) IN MUSLIM COUNTRIES (CASE STUDY OF OIC MEMBERS)." JEBI (Jurnal Ekonomi dan Bisnis Islam) 4, no. 1 (June 30, 2019): 1. http://dx.doi.org/10.15548/jebi.v4i1.204.
Full textAbstract:
This study analyzes factors or variables that effectof human development index (HDI) in Muslimcountries, a case study of the Organization of Islamic Cooperation (OIC) member countries. The data of 33 selected OIC member countries from 2007-2016 were analyzed using panel data regression analysis. The entire models show the significant influence of some independent variables to the level of HDI in Muslim countries. However, a variable number of the population contributes positively to HDI in all models. Unfortunately, foreign direct investment (FDI) does not add to the increasingof HDI; this is the biggest challenge faced by the government in various Muslim countries. While government fiscal policy reflected in government spending (G) contributes positively to HDI in OIC member countries.
27
Soheylizad, Mokhtar, Kamyar Mansori, Erfan Ayubi, Ensiyeh Jenabi, Yousef Veisani, Fatemeh Khosravi Shadmani, Shiva Mansouri Hanis, Yousef Moradi, and Salman Khazaei. "Global Liver Cancer Incidence and Mortality Rates, the Role of Human Development Index." Asian Pacific Journal of Cancer Biology 1, no. 3 (September 25, 2016): 51. http://dx.doi.org/10.31557/apjcb.2016.1.3.51-54.
Full textAbstract:
Introduction: Liver cancer (LC) is one of the most common malignant tumors worldwide which have been a major public health challenge worldwide. This study aimed to identify the global effect of HDI in the incidence and mortality rates of liver LC. Material and Methods: Data about the incidence and mortality rate of LC for the year 2012 was obtained from the global cancer project for 172 countries. Data about the HDI and other indices were obtained for 169 countries from the United Nations Development Programme database in 2012. Linear regression models were used for assessment of the HDI effect on LC occurrence rates. Inequality in the age-specific incidence and mortality rates (ASR) of LC according to the HDI were assessed by using the concentration index.Results: Linear regression model showed that increasing of HDI had a negative effect on the increase in both incidence (B=-12.2, P=0.03) and mortality (B=-12.7, P=0.015) rates of LC. The mean of life expectancy at birth, mean years of schooling, GNI per capita, percent of urbanization, and age-standardized obesity had also a negative effect on increasing in both incidence and mortality rates.Conclusion: incidence and mortality rate of LC are significantly concentrated in regions with medium and low HDI. The negative relationship between LC incidence and mortality with HDI and its component can be considered as targets for prevention and treatment intervention or tracking geographic disparities.
28
Jin, Hui, Xinyi Qian, Tachia Chin, and Hejie Zhang. "A Global Assessment of Sustainable Development Based on Modification of the Human Development Index via the Entropy Method." Sustainability 12, no. 8 (April 16, 2020): 3251. http://dx.doi.org/10.3390/su12083251.
Full textAbstract:
In response to the UN 2030 Agenda for Sustainable Development, this paper proposes a new National Sustainable Development Index (NSDI), based on the modification of the Human Development Index (HDI). The purpose of our research was to improve the widely adopted HDI index by incorporating more comprehensive sustainability perspectives, so as to help policy makers to better analyze the sustainability-related issues facing their countries. After clarifying the concept of sustainable development, our research suggests that this term represents a coordination and configuration of economic, social, and environmental aspects of development, with its major focuses on balancing intra-generational welfare and maximizing the total welfare across generations. We then put forward a novel NSDI framework including 12 indicators from dimensions of economy, resource environment, and society, and calculated the weights of 12 indicators using the entropy method. To further validate our proposed index, this paper also measured the NSDIs of 163 countries in the world, and compared this index with the HDI and other well-known modification indices of HDI. The results showed that the NSDI is a reliable and relative complete index for sustainable development assessment, which makes up for the shortcomings of existing indices.
29
Yustie, Renta. "Faktor-Faktor yang Mempengaruhi Kemiskinan di 9 (Sembilan) Kota di Provinsi Jawa Timur." OECONOMICUS Journal of Economics 5, no. 1 (December 29, 2020): 1–9. http://dx.doi.org/10.15642/oje.2020.5.1.1-9.
Full textAbstract:
This research aims to analyze effect from human development index (HDI), dependency ratio, open unemployment rate to poverty is partially and simultaneously. Data used in research is secondary data are poverty, human development index (HDI), dependency ratio, open unemployment rate overall in percentage (%)., with used analyze of multiple linier regression methode. This result is human development index (HDI), dependency ratio, open unemployment rate have a effect to partially and simultaneously to poverty.
30
Tristanto, Arif, and Herman Cahyo Diartho. "Strategi Sektor Kesehatan Dalam Meningkatkan Indeks Pembangunan Manusia Di Kabupaten Situbondo." Wiga : Jurnal Penelitian Ilmu Ekonomi 8, no. 2 (October 2, 2018): 1–9. http://dx.doi.org/10.30741/wiga.v8i2.312.
Full textAbstract:
The success of a development is not only seen from the level of economic growth but also from the level of community welfare as well as a benchmark for the success of the development of a region. The Human Development Index covers three indices, namely the education index, health index, and purchasing power index. In this study one of the indicators in improving the human development index is the health index. Judging from the growth rate of the Situbondo District human development index (HDI), the health index growth during 2012-2016 remained at 0.74 and the growth of the human development index (HDI) in Situbondo was still below the growth of the human development index (HDI) in East Java Province. The formulation of the problem taken in this study is how to synthesize strategies in improving the Human Development Index (HDI) in the health sector in Situbondo District. The analytical method used uses analytical hierarchy process. The results of the analysis analysis obtained the strategy used in improving the human development index in Situbondo District in the health sector, namely health services became a priority in improving the human development index in the health sector in Situbondo District by 0.136, and both health budgets by 0.059, and the three health sector institutions by 0.018.
31
Runtunuwu, Prince Charles Heston. "Analysis of Macroeconomic Indicators and It's Effect on Human Development Index (HDI)." Society 8, no. 2 (December 30, 2020): 596–610. http://dx.doi.org/10.33019/society.v8i2.246.
Full textAbstract:
This research aims to determine the effect of inflation, per capita income. The method used is a quantitative method with a descriptive approach. The data analysis technique uses multiple linear regression models, which are continued by the classical assumption test. This research uses secondary data, precisely ten years of time-series data from 2010-2019 obtained from the Central Bureau of Statistics, books, literature, the internet, records, and other sources related. The research sample consisted of 40 data taken per quarter, from 2010-2019. The analytical method used in this research is multiple linear regressions. The results showed that inflation had a negative and insignificant effect on Human Development Index (HDI). In contrast, per capita income and unemployment had a negative and significant effect on Human Development Index (HDI). Inflation, per capita income, and unemployment significantly affected the Human Development Index (HDI) in Ternate City. The independent variable’s determination (R Square) on the dependent variable is 0.836 or 83.6%. It means inflation, per capita income, and unemployment can affect the Human Development Index (HDI) in Ternate City at 83.6%, remaining 16.4% by other factors.
32
Runtunuwu, Prince Charles Heston. "Analysis of Macroeconomic Indicators and It's Effect on Human Development Index (HDI)." Society 8, no. 2 (December 30, 2020): 596–610. http://dx.doi.org/10.33019/society.v8i2.246.
Full textAbstract:
This research aims to determine the effect of inflation, per capita income. The method used is a quantitative method with a descriptive approach. The data analysis technique uses multiple linear regression models, which are continued by the classical assumption test. This research uses secondary data, precisely ten years of time-series data from 2010-2019 obtained from the Central Bureau of Statistics, books, literature, the internet, records, and other sources related. The research sample consisted of 40 data taken per quarter, from 2010-2019. The analytical method used in this research is multiple linear regressions. The results showed that inflation had a negative and insignificant effect on Human Development Index (HDI). In contrast, per capita income and unemployment had a negative and significant effect on Human Development Index (HDI). Inflation, per capita income, and unemployment significantly affected the Human Development Index (HDI) in Ternate City. The independent variable’s determination (R Square) on the dependent variable is 0.836 or 83.6%. It means inflation, per capita income, and unemployment can affect the Human Development Index (HDI) in Ternate City at 83.6%, remaining 16.4% by other factors.
33
Taylan, Mahsuk, Melike Demir, Sureyya Yılmaz, Halide Kaya, Hadice Selimoglu Sen, Menduh Oruc, Mustafa Icer, Ercan Gunduz, and Cengizhan Sezgi. "Effect of human development index parameters on tuberculosis incidence in Turkish provinces." Journal of Infection in Developing Countries 10, no. 11 (November 24, 2016): 1183–90. http://dx.doi.org/10.3855/jidc.8101.
Full textAbstract:
Introduction: A country’s development level is measured with a quantitative parameter called the human development index (HDI). The present study researched the effects of HDI parameters (such as healthcare standards, income, and education level) on the incidence of tuberculosis. Methodology: HDI data of 36 provinces of Turkey and the tuberculosis surveillance data were obtained from the Ministry of Development and the Ministry of Health, respectively. The associations between the incidence of tuberculosis and other HDI parameters were analyzed. Results: Higher population density (n/km2) (CI = 0.05 to 0.40) and higher relapse rate of tuberculosis (CI = 0.36 to 1.48) were identified to be independent predicting factors that increased the incidence of tuberculosis, whereas higher gross national product (CI = -0.06 to 0.00), the population that holds a green Medicare card (CI=-0.58 to -0.04), increased general practitioners per 100,000 people (CI=-0.66 to -0.01), female population (CI = -0.70 to -0.06), married population (CI = -1.34 to -0.03), were found to be significant negative predicting factors that were relevant to the incidence (protective against tuberculosis). Conclusions: Tuberculosis is a disease that is affected by multiple factors, including the components of HDI. Improvement of income level, facilitation of access to health services via health insurance, urbanization with lower population density strategy, and provision of enough general practitioners may be useful in reducing the incidence of TB' in provinces of developing countries such as Turkey.
34
Li, Xiaoyu, and Lan Xu. "Human development associated with environmental quality in China." PLOS ONE 16, no. 2 (February 11, 2021): e0246677. http://dx.doi.org/10.1371/journal.pone.0246677.
Full textAbstract:
This paper aims to investigate the connection between overall environmental quality and human development. Based on China’s provincial panel data from 2004 to 2017, this study constructed the Environment Degradation Index (EDI) and Human Development Index (HDI) to measure environmental pollution and human development, respectively, and it used the Simultaneous Equations Model (SEM) to assess the relationship between them. The results showed that there was an inverted U-shaped relationship found between EDI and HDI, and the coefficients of the first and second power of HDI were 5.2781 and -2.3476, respectively. Meanwhile, the results also confirmed that environmental pollution, in turn, delayed regional economic growth, and every 0.01 unit increase in EDI was correlated with a 3.15% decrease in GDP per capita. It is recommended that the government should speed up human development to surpass the turning point of the inverted U-shaped curve soonest possible.
35
Rochmah, Siti, and Raditya Sukmana. "PENGARUH FAKTOR-FAKTOR MAKROEKONOMI TERHADAP ISLAMIC HUMAN DEVELOPMENT INDEX (IHDI) DI INDONESIA TAHUN 2013-2017." Jurnal Ekonomi Syariah Teori dan Terapan 6, no. 4 (January 16, 2020): 819. http://dx.doi.org/10.20473/vol6iss20194pp819-829.
Full textAbstract:
The human development Index (HDI) established by UNDP, might be the most comprehensive approach but is not fully compatible and sufficient for measuring development in Muslim countries, because HDI measurements are not based on Islamic perspective. The HDI is unable to capture the religious and ethical perspective of socio-economic development in Muslim countries. human development and welfare of human being is an ultimate goal in the whole Islamic framework. Therefore, came a measurement called Islamic Human Development Index (I-HDI) as a holistic and comprehensive index for human development derived from the five dimensions of Maqāṣid al-Sharīʿah: religion (dīn), life (nafs), intellect (ʿaql), family (nasl) and wealth (māl). This study aims to determine the effect of macroeconomics factor on Islamic human development Index In Indonesia. The analysis technique used is multiple linearregression. The findings show that unemployment and poverty levels have a significant effect on IHDI, while GRDP does not affect IHDI. In addition, the results show that there are differences in ranking between HDI and IHDI. Some Provinces get IHDI acquisition which is quite low, which is below 50% which can be seen in NTT, NTB, and Papua Provinces. While the other provinces get good IHDI acquisition so that there is still a wealth of prosperity in provinces in Indonesia.Keywords: Economic Development, Maqashid Shariah, Human Development, Islamic Human Development Index
36
Suparyati, Agustina. "PENGARUH ECONOMIC FREEDOM DAN PENDAPATAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA." Media Ekonomi 22, no. 2 (August 7, 2014): 171. http://dx.doi.org/10.25105/me.v22i2.3173.
Full textAbstract:
<p>This study aims to determine the effect of economic freedom and national income per capita of the human development index. Countries will be classified into 4 groups according to the classification in the HDI are very high human development (with an HDI of 0788 or above), high human development (with an HDI of 0677 to 0.784), medium human development (HDI of 0488-0669), and low human development (HDI of less than 0488). The analysis method used in this study is a model of data panel to investigate the influence of Economic Freedom and Income per capita of the HDI. The results showed that for the group of countries very high human local development per capita income is only significant effect on the HDI, for the group of countries High human development and medium human development only economic freedom that affects the HDI, while the low human development group showed that income per capita and Economic Freedom does not affect the HDI.</p>
37
Veisani, Yousef, Ali Delpisheh, Fathola Mohamadian, Maryam Baghri, and Salman Khazaei. "Inequality in Human Development Index and suicide death in Iran: A National Register–Based Study." Biomedical Research and Therapy 4, no. 07 (July 28, 2017): 1435. http://dx.doi.org/10.15419/bmrat.v4i07.196.
Full textAbstract:
Pay attention to the effects of inequality in health outcomes has steadily risen during recent years. It is necessary step to achieve the goal of health for all (HFA) in the coming decades. At the moment, our knowledge about the inequality and suicide is limited. Human Development Index (HDI) is summary measures that we can demonstrate current inequalities regarded to health outcomes. We have reanalyzed the national data by Statistical Centre of Iran for HDI and Iranian Forensic Medicine Organization for suicide to explicate of inequality in suicide death in Iran. Our results showed an inverse correlation between HDI and suicide death, so that deaths from suicide was more occurred in provinces with lower HDI. Therefore, results in current study showed a positive inequality in suicide in relation with HDI in Iran. According to this, we suggested that regional studies will be conducted to detect subgroups with a high suicide risk as well as components of HDI that cause inequality.
38
Aida, Nur, and Nur Siti Khumairoh. "Causal Relationship Between Economic Growth, Unemployment, Poverty and The Impact to Human Development Index (HDI)." International Journal of Psychosocial Rehabilitation 24, no. 03 (February 28, 2020): 71–81. http://dx.doi.org/10.37200/ijpr/v24i3/pr200758.
Full text
39
Kusideł, Ewa. "Convergence of Regional Human Development Indexes in Poland." Comparative Economic Research. Central and Eastern Europe 16, no. 1 (April 30, 2013): 87–102. http://dx.doi.org/10.2478/cer-2013-0006.
Full textAbstract:
The subject of convergence became popular in Poland upon its accession to the EU in 2004. Since then Poland has been a beneficiary of the cohesion policy – a regional policy of the European Union aimed at increasing the level of economic, social, and territorial (spatial) cohesion. While the economic aspect is a very thoroughly researched area of convergence studies, the social aspects are less often covered by specialist literature. This is the issue raised in this paper which, along with separate measures of social convergence, constructs a region HDI measure to evaluate the social cohesion of Poland’s regions1. Values of regional HDIs in Poland were not known and required calculation, which allowed for drawing conclusions about the standards of living of inhabitants in specific provinces. In general, it was possible to determine that HDIs are rising in all regions, which means, simultaneously, an increase in the standards of living of the provinces’ populations. At the same time, however, that growth was accompanied by increasing divergences in the HDI distribution among regions (sigma-divergence). The study of convergence of specific HDI components also allowed to note that HDI divergences are mainly caused by increasing economic inequalities between regions in Poland (measured by the Gross Domestic Product Index), and inequalities in education (measured by the Education Index).
40
Ambya, Ambya. "Human Development Index (HDI) in Lampung Province Period 2013-2018." SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS 4, no. 2 (September 24, 2021): 119. http://dx.doi.org/10.29259/sijdeb.v4i2.119-128.
Full textAbstract:
Human development index (HDI) is one of the benchmarks used to see the quality of human life as measured by looking at the level of human life quality of education, health and economy. This study aims to determine the effect of government spending from the education, health and capital expenditure sectors as well as income on the human development index. The data used is a secondary data in 7 districts in Lampung Province period of 2013-2018 which was obtained from the Directorate General of Fiscal Balance (DGFB Ministry of Finance) and the Central Statistics Agency (CSA) in Lampung province. The results of the analysis show that the government spending in the education sector and capital expenditure have a positive and significant effect on the human development index while the health sector spending as well as income have a negative and significant effect on the human development index.
41
Sazaen, Evi Ardiati. "NON-HYBRID ENSEMBLE SPATIAL REGRESSION ON HUMAN DEVELOPMENT INDEX (IPM) in CENTRAL JAVA." Jurnal Litbang Edusaintech 1, no. 1 (December 23, 2020): 23–34. http://dx.doi.org/10.51402/jle.v1i1.4.
Full textAbstract:
The human development index (HDI) is a measure to see an increase in regional development that has a very broad dimension, because it increases the quality of the population of an area in terms of life expectancy, education, and decent standard of living. In 2010 the Central Java HDI increased by 66.08% and increased by 4.44%, with the total HDI in 2017 of 70.52 percent. Spatial regression is the development of classical linear regression involving the region model. Spatial regression ensemble is a technique to be sent spasi spatial regression models by adding noise (additive noise). The type of spatial weighting used is Queen Contiguity. The selection of the best model using AIC and RMSE values. The purpose of this study is to provide an assessment of the distribution of HDI data in the Province of Central Java in 2017 and to do modeling using non-hybrid spatial ensemble regression regression. The results of this study are the SAR spatial method with ensemble giving results with AIC value of 143 and RMSE value of 1.3899 with a value of 90.09%. Significant variables on HDI are population density (X1), poverty (X2), school participation rates (X5), and average per capita per month for food and non-food (X7).
42
Butar Butar, Ribka Sari, and Mrs Rahmanta. "DETERMINANT ANALYSIS OF HUMAN DEVELOPMENT INDEX IN OF NORTH SUMATERA PROVINCE." Quantitative Economics Journal 8, no. 1 (April 15, 2020): 83. http://dx.doi.org/10.24114/qej.v8i1.23610.
Full textAbstract:
The results showed that the number of poor people and government expenditures from the aspect of health funds had a significant effect on the HDI. While open unemployment and government spending from the aspect of education fund did not significantly affect the Human Development Index. The success of the economic development of a region can be seen from the high economic growth, with the increase of economic growth is expected also can improve the welfare of society and increase human development with indicator of Human Development Index (HDI).
43
Schrott, Lukas, Martin Gächter, and Engelbert Theurl. "Regional Development in Advanced Countries: a Within-Country Application of the Human Development Index for Austria." DANUBE: Law and Economics Review 6, no. 1 (March 1, 2015): 1–23. http://dx.doi.org/10.1515/danb-2015-0001.
Full textAbstract:
Abstract Since its implementation in 1990, the human development index (HDI), the flagship indicator of multidimensional development, has attracted a great deal of attention and critics in academic, political and media circles. It initiated a new stage in the discussion of appropriate indicators to measure socioeconomic development. Until now, the vast majority of empirical work using the HDI concept has taken a cross-country perspective. The main aim of this paper is the application of the HDI at the sub-country level in small, highly developed and socioeconomically homogenous countries. For this undertaking we use a slightly modified version of the HDI, called the regional development index (RDI). For the components of the RDI - life expectancy, education and standard of living - we use recent cross section information for Austria at the level of districts. There exists considerable heterogeneity across districts in the RDI and its components. Our Theil-decomposition reveals that the overwhelming part of the observed heterogeneity is based on differences within provinces (96 percent), although the differences in life expectancy between the provinces explain a substantial part of the overall heterogeneity in this indicator (54 percent).
44
Yakunina, R. P. "ASSESSMENT OF HUMAN CAPITAL LEVEL USING THE UPGRADED HUMAN DEVELOPMENT INDEX." Vestnik of Samara State University of Economics 4, no. 198 (April 2021): 38–46. http://dx.doi.org/10.46554/1993-0453-2021-4-198-38-46.
Full textAbstract:
This article discusses the measurement of human capital using an indirect method of evaluation – the Human Development Index (HDI). Each year, UNDP experts present the HDI in Human development reports. The problem of improving the human development index is presented and solved by introducing new components in its structure – the unemployment index and the wage index. The aim of the study is to test the results of the modernized human development index on the example of the subjects of the Russian Federation. The key research methods are synthesis and comparative analysis, with the help of which the structure of the index is analyzed in detail; the method of selecting and processing a statistical database is applied; the graphical method is used to construct illustrative material, as well as the empirical method of research. The article presents the rating of Russian regions, compiled on the basis of the improved human development index. A comparative analysis of two methods of calculating the index is carried out – the UNDP method and the author's method. Two methods of calculating the human development index are also analyzed in detail, their method is analyzed. It is clearly shown what changes occurred in the formulas for calculating the main indicators included in the structure of the human development index.
45
Susilowati, Dwi, and Muhammad Sri Wahyudi Suliswanto. "PERTUMBUHAN EKONOMI, INDEKS PEMBANGUNAN MANUSIA, UTANG LUAR NEGERI DAN KEMISKINAN (KAJIAN TEORITIS DI INDONESIA)." Journal of Innovation in Business and Economics 6, no. 1 (March 2, 2015): 89. http://dx.doi.org/10.22219/jibe.vol6.no1.89-106.
Full textAbstract:
This study was conducted with the intention of examining the causal relationship between the following variables: Human Development Index (HDI), foreign debt, poverty, and economic growth. The data used in this investigation was secondary data from 1990 to 2013 which then analyzed by applying Granger causality tests performed six times that ultimately obtained the following results: (1) there was no causal relationship between Human Development Index (HDI) and Foreign Debt (AD); (2) there was a one-way causal relationship between foreign debt (AD) and poverty; (3) there was a one-way causal relationship between economic growth with Foreign Debt (AD); (4) there was no causal relationship between poverty with Human Development Index (HDI); (5) there was no causal relationship between Economic Growth and Human Development Index (HDI); and (6) there was a one-way causal relationship between economic growth and poverty.
46
Aydin, Necati. "Islamic vs conventional Human Development Index: empirical evidence from ten Muslim countries." International Journal of Social Economics 44, no. 12 (December 4, 2017): 1562–83. http://dx.doi.org/10.1108/ijse-03-2016-0091.
Full textAbstract:
Purpose Given the fact that the Islamic economic paradigm differs from the secular capitalist paradigm in terms of its emphasis on morality and spirituality, the author thinks that the current Human Development Index (HDI) does not capture human development from an Islamic perspective. The purpose of this paper is twofold: first, to provide a paradigmatic, theoretical, and conceptual model for the suggested Islamic HDI (iHDI) and second, to present several proxy variables for multi-dimensional iHDI and test the proposed index through empirical data for ten Muslim countries. Design/methodology/approach The author developed eight-dimensional composite iHDIs based on the understanding of human nature from the Tawhidi anthropology. These dimensions included physical, reasoning, spiritual, ethical, animal, social, deciding, and oppressive selves. The author measured them using nine different indices, three of which came from the conventional HDI (cHDI). The author then compared the rankings of those Muslim countries in iHDI to those in cHDI. Findings The iHDI rankings for all Muslim countries except two differed from those in cHDI. The difference was more substantial for countries with higher economic development. Thus, improved cHDI rankings for Muslim countries based on their economic development do not necessarily mean that they move toward ideal human development. This finding confirms the need for an alternative human development indexing approach from an Islamic perspective. Research limitations/implications The paper is likely to initiate movement to develop an alternative HDI from Islamic perspective. Practical implications The paper findings have important policy implications for Muslim countries. Originality/value It is the first empirical paper showing how to develop an alternative HDI from an Islamic perspective.
47
Saragih, Arfah Habib. "An Analysis of Local Taxes Revenue’s Effect on Human Development Index." Jurnal Economia 14, no. 2 (October 1, 2018): 197–211. http://dx.doi.org/10.21831/economia.v14i2.21595.
Full textAbstract:
Abstract: An Analysis of Local Taxes Revenue’s Effect on Human Development Index. Regional tax reform in Indonesia has been ongoing for approximately twenty years. The aim of the tax reform is to increase regional revenues from tax which will be used society’s welfare through regional development, which can be measured by Human Development Index (HDI). This study aims to analyse the effect of local tax revenue on HDI in Indonesia. Quantitative research method is used with unit of analysis of thirty-four provinces in Indonesia in 2013-2016, with a total of 134 observations. Secondary data is processed through panel data regression using random effect method. This study finds that local tax revenue has a significant positive effect on HDI. This study also finds that economic growth and unemployment rates have no significant effect on HDI, while gini ratio has a significant negative effect on HDI. Keywords: local taxes, human development index, tax reform, economic growth, gini ratioAbstrak: Analisis Pengaruh Penerimaan Pajak Daerah Terhadap Indeks Pembangunan Manusia. Reformasi perpajakan daerah di Indonesia sudah berlangsung selama kurang lebih dua puluh tahun. Tujuan dari reformasi perpajakan tersebut adalah untuk meningkatkan penerimaan daerah dari sektor perpajakan yang akan digunakan untuk kemakmuran rakyat melalui pembangunan daerah yang dapat diukur salah satunya dengan Indeks Pembangunan Manusia (IPM). Penelitian ini bertujuan untuk menguji pengaruh penerimaan pajak daerah terhadap IPM di Indonesia. Metode riset yang digunakan adalah metode kuantitatif dengan unit analisis tiga puluh empat provinsi di Indonesia pada periode 2013-2016 dengan total 134 observasi. Data sekunder diolah melalui regresi data panel dengan metode random effect. Penelitian ini menemukan bahwa penerimaan pajak daerah berpengaruh positif signifikan terhadap IPM. Temuan lain yang diperoleh dari penelitian ini adalah pertumbuhan ekonomi dan tingkat pengangguran tidak berpengaruh signifikan terhadap IPM, sedangkan rasio gini berpengaruh negatif signifikan terhadap IPM. Kata kunci: Kata Kunci: pajak daerah, indeks pembangunan manusia, reformasi perpajakan, pertumbuhan ekonomi, rasio gini
48
Suhaili, Muhammad, Ani Widayati, and Abdul Fatah. "Government Investment in The Education Sector for Human Capital Development." Indonesian Journal of Planning and Development 5, no. 2 (October 31, 2020): 58–65. http://dx.doi.org/10.14710/ijpd.5.2.58-65.
Full textAbstract:
An indicator is considered more representative to be used as a benchmark for development, namely the Human Development Index (HDI). The Human Development Index is another alternative to the definition of development that it is not only economic resources as a means to achieve development goals. The government has made various efforts to improve the quality of education to develop quality human resources. One of the components in the education budget is the education budget through transfers to the regions and village funds. Transfers to regions and village funds consist of general allocation funds and special allocation funds. This study aims to examine the effect of the government’s investment in the education sector through the education budget, particularly Special Allocation Funds-Physical (SAF Physical) and Special Allocation Funds-Non-Physical (SAF Non-Physical) on the Human Development Index (HDI). The study consists of two independent variables, i.e., Special Allocation Funds-Physical (SAF Physical) and Special Allocation Funds-NonPhysical (SAF Non-Physical), and one dependent variable: Human Development Index (HDI). The method used is a quantitative method with multiple regression analysis-ordinary least square (OLS). The data used is secondary data from the Central Bureau of Statistics/Badan Pusat Statistik (BPS) in 2010-2018. The results showed that Special Allocation Funds-Physical (SAF Physical) and Special Allocation Funds-Non-Physical (SAF Non-Physical) significantly influence the Human Development Index (HDI). The Special Allocation Funds-Physical (SAF Physical) has a negative and insignificant effect. In contrast, the Special Allocation Funds-Non-Physical (SAF Non-Physical) has a positive and significant effect on the Human Development Index. Therefore, the government is expected to increase educational investment by allocating more budgets on both physical and non-physical investment to improve the quality of Human Resources.
49
Mkrtchyan, Gagik M., Tatiana O. Tagaeva, and Anastasia I. Boksler. "The Human Development Index under the Current Waste Management System in the Russian Regions." World of Economics and Management 19, no. 3 (2019): 41–57. http://dx.doi.org/10.25205/2542-0429-2019-19-3-41-57.
Full textAbstract:
This paper attempts to analyze the existing environmental issues in the Russian Federation with the help of macroeconomic indicators, with special emphases being placed on the Human Development Index (HDI). The work presents the algorithm of HDI calculation, examines its advantages and disadvantages and describes the possibility to reflect the environmental situation with the help of HDI. Scientific novelty of the study is the proposed method of computing HDI taking into account the situation in the field of waste management (earlier, macro indicators with environmental adjustment took into account only water and air pollution). Inclusion of waste accumulation parameter tends to decrease most regional HDIs in comparison with their traditional values, which underlines the gravity and relevance of waste challenges in the Russian Federation. The article highlights the shortcomings of the Russian environmental waste policy, and proposes the ways to stimulate the reduction of waste generation and accumulation.
50
Dahliah, D., and Andi Nirwana Nur. "The Influence of Unemployment, Human Development Index and Gross Domestic Product on Poverty level." Golden Ratio of Social Science and Education 1, no. 2 (August 21, 2021): 95–108. http://dx.doi.org/10.52970/grsse.v1i2.84.
Full textAbstract:
\This study was conducted with the aim of analyzing the effect of unemployment on the poverty level, the effect of the human development index (HDI) on the poverty level, gross domestic product (GDP) on the poverty level, and the effect of unemployment, HDI and GDP on the level of poverty. This study uses secondary data obtained from the Central Statistics Agency (BPS) and other related sources. Data were analyzed using the multiple linear regression model using SPSS 25 Application. The results of this study indicate that: (1) Unemployment has a positive and insignificant effect on the level of poverty; (2) Partially, the HDI and GDP have a negative and insignificant effect on the level of poverty; (3) Simultaneously Unemployment, HDI and GDP have a significant effect on the level of poverty. The results of this study indicate that in order to significantly reduce the Poverty Level in East Luwu, the three independent variables must be the attention of the East Luwu Government in making development policies. Increase the HDI mainly in terms of education and health to provide more competitive human resources, pursue high GDP growth level, and be more qualified and inclusive to reduce poverty levels in East Luwu.