EXPLAINING VARIABILITY IN THE LABOUR MARKET USING PRINCIPAL COMPONENT ANALYSIS

Helminth elimination in the pursuit of sustainable development goals: a "worm index" for human development.

The Human Development Index is a composite index to measure the development of human resources in each country and four indicators of life expectancy; income per capita, the average number of years studying and hope to the number of years of education will be formed. Countries, according to the Department of Human Development Index, with high human development, countries with high human development, and human development countries with medium and low human development are divided. The development goal is to create conditions where people can live a long and healthy life and benefit in knowledge. The Human Resource Development Index is one of the important indicators of economic development for each country and is considered to have an effective role in economic development. The importance of the Human Development Index is put to review on the Indian economy. Trends change each of the three human resource development indexes during the 30-year period from 1980 to 2010. In this article, we will consider the relationship between GDP and three indicators of human resources in India. In addition, we will evaluate the relationship and mutual effects of each of the three indicators of human resource development in the Indian economy using the latest (2010) formula provided by the United Nations. In this study, GDP or income act as the dependent variables and the three indicators of long life, health and education act as independent variables.

Human Development Index is a composite index to measure the development of human resources in each country and four indicators of life expectancy, income per capita, the average number of years studying and hope to the number of years of education will be formed. Countries, according to the Department of Human Development Index rates countries with high human development, countries with high human development, and human development countries with medium and low human development countries are divided. Development Goal is creating conditions where people can live long and healthy life and knowledge benefit. Human Resource Development Index as one of the important indicators of economic development for each country and is considered an effective role in economic development. Importance of human development index led put review Indian economy. Trend changes every three human resource development index during the 30-year period from 1980 to 2010 of the goals of this research. In this article we will consider relationship between GDP and three indicators of human resources in India. In addition, we will evaluate relationship and mutual effects of each of the three indicators of human resource development in the Indian economy using the latest (2010) formula provided by the United Nations. GDP or income as the dependent variable and three indicators long life, health and education as independent variables in the research model have been told.

Purpose– Past research has identified a negative association between national income and female entrepreneurship rates. Data from Global Entrepreneurship Monitor (GEM) 2012 are analyzed to determine whether the Human Development Index (HDI) predicts female entrepreneurship rates. The purpose of this paper is to indicate how other socioeconomic variables that measure human development interact with national income to predict female entrepreneurship rates.Design/methodology/approach– Data were drawn from the 2012 GEM data set, which provides information on female entrepreneurship rates in 61 countries. To test relevant hypotheses, dependent and socio-demographic variables were sourced from international databases to perform quantitative cross-country regression analyses.Findings– National income significantly predicted female entrepreneurship rates in the univariate analysis. However, this relationship became non-significant when development indices were added to the model. In contrast, the HDI, the Gender Inequality Index, and national religious composition were robust, significant predictors.Practical implications– This study presents evidence that human and gender development indices, and national religious composition, are better predictors of female entrepreneurship rates than national income. Thus, studies on female entrepreneurship rates should account and adjust for human development and gender equality indices. As religiosity continues to be pervasive within multiple nations, policymakers should consider this when developing interventions geared toward promoting female entrepreneurship.Originality/value– This paper identifies factors other than economic determinism to explain variance in female entrepreneurship rates and demonstrates that human development and gender inequality indices are better predictors of female entrepreneurship rates.

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.

This study focusses on three aspects of the association between human development and economic growth in India: (i) the pattern of the relationship between economic growth and human development in India at the national and state levels; (ii) whether economic growth was converging at the state level; and (iii) whether human development was converging at the state level. In the last two decades, India outperformed advanced and developing economies in per capita income growth and health and education indicators, propelling itself into the virtuous category (high-EG, high-HD). By employing data for 26 states and union territories (UTs) for three decades (1990–2019), a diverse pattern was observed in the relationship between economic growth and human development, with most of the states (16) in the virtuous category, and the others in three different categories. However, no clear pattern emerged from the dynamic movements in the last three decades, as there were cases of states moving from one category in one decade to another category in different decade. There was no evidence of economically weaker and low HD states catching up with economically well-off and high HD states, respectively. However, club convergence was occurring, i.e., economically weaker states were catching up with economically well-off states in the low-income, high-HD club. Economically weaker and low HD states can catch up with economically well-off and high HD states only if similar conditions are created.

Neoclassical economics has traditionally posited that the process of development entails changes in incomes over time. Larger income levels achieved via positive economic growth, appropriately discounted for population growth, would constitute higher levels of development. As many have noted, however, the income measure fails to adequately reflect development in that per-capita income, in terms of its levels or changes to it, does not sufficiently correlate with measures of (human) development, such as life expectancy, child/infant mortality and literacy. The United Nations Development Programme’s (UNDP) human development index (HDI) constitutes an improved measure for development. HDI has been modified to be gender-sensitive with variants that reflect gender inequality. Various measures reflecting Sen’s “capability” concept, such as civil and political rights, have also been incorporated. Countries where the level of poverty is relatively large tend also to exhibit low values of human development, thus lowering the mean values of the development measures. Where inequalities of development indicators are very large, however, the average values may not sufficiently reflect the conditions of the poor, requiring the need to concentrate on poverty per se. The most recognized indicator of (income) poverty is the headcount ratio, which simply measures the proportion of the population considered to earn an income less than the standard required for basic needs (the other poverty measures are those for the depth and severity of poverty). This poverty line may vary from country to country and over time. However, to simplify comparability across countries and over time, the poverty line has been standardized as a daily income of US$ 1 at international standards. As an indicator of extreme poverty, this poverty rate is also the yardstick for Goal 1 of the Millennium Development Goals (MDGs). The above measures do not necessarily reflect deprivation in human development. Thus in 1997 the UNDP introduced the human poverty index (HPI) for developing countries. This measure is intended to reflect deprivations in the three indexes of human development: long and healthy life, knowledge and a decent standard of living. For more developed countries, HPI is further modified to reflect social exclusion. Despite the myriad criticisms levelled against such measures of development and poverty, these indicators provide us with reasonable pictures of how well various countries are performing beyond mere income growth. What the evidence shows is that countries that rank at the bottom of the HDI scale tend also to exhibit the largest HPI values. Hence, these measures are useful in that they at least signal specific countries that may require special attention. Both indices are needed, however, to gauge the nature of the development challenge. For example, a relatively low HDI value despite a high per-capita income suggests that growth is not being efficiently transformed into human development. Similarly, if both HDI and HPI are high, then the achievement in human development is not being sufficiently shared by those at the bottom, suggesting the need to address the human-development distribution picture. Ideally, HDI should be high and HPI low. What policies are considered pro-poor or pro-development? Employment generation is a particularly salient linchpin between economic growth on the one hand, and poverty reduction and development on the other. Policies that augment the demand for labour are therefore likely to produce desirable social-impact outcomes for developing economies.1 Thus, appropriate policies are generally those that increase employment in sectors with reasonable levels of productivity, as well as those that provide essential public goods. The nature of the sociopolitical environment is a particularly salient determinant of the effectiveness of transforming growth to development or poverty reduction. Higher levels of inequality, for instance, lower the effectiveness of growth in reducing poverty.2,3 Similarly, greater rates of political instability tend to retard the rate at which growth is transformed to human development.4 Health is critical. Impaired health exacerbates poverty and undermines development, whether directly or indirectly via lowering growth.5 Malaria, historically one of the deadliest diseases in the tropics, has been deleterious to development and has contributed considerably to poverty, especially in Africa,6 as has HIV/AIDS more recently.7 Both morbidity and mortality are important contributors to the above development and poverty woes emanating from diminished health.8 Health standards, as exemplified by Goal 6 of the MDGs for instance, are essential for attaining poverty eradication and development success. The Bulletin, in conjunction with over 230 other journals, is participating this month in a Global Theme Issue on Poverty and Human Development (see: http://councilscienceeditors.org/globalthemeissue.cfm) by publishing a number of papers on this topic. ■

This study seeks to investigate how labor markets in the Philippines responded to the COVID-19 pandemic by decomposing the change in average annual hours of work per person and analyzing the extent of reallocation across occupations, sectors, classes of work, and nature of work. It finds that the declining average work hours before the pandemic was primarily due to the extensive margin. However, the huge fall in work hours in the first year of the pandemic is attributed to the intensive margin to a larger extent and the extensive margin to a lesser degree. Although work hours moderately increased later into the pandemic, the larger contribution of the change occurring at the intensive margin persisted. The same implication can be observed even when the difference in average hours of work is examined by gender and age group, except for the old age bracket among women, where the change at the extensive margin consistently dominated the difference in average hours of work. Furthermore, lower reallocations across occupations and sectors were seen during the pandemic, contrasting the spike in reallocations in developed countries. That is, labor markets in the Philippines appear to be less dynamic in the face of huge economic shocks such as the COVID-19 pandemic. Although higher reallocation across work classes was observed for women during the pandemic, this was due to the rising employment shares of paid and unpaid family workers. Higher reallocation across the nature of work is also associated with the increasing share of short-term employment. With limited social safety nets that protect worker income amid economic shocks, there appears to be little leeway for workers to adjust in the labor market. Workers and households should be adequately supported to protect their income and welfare, especially during economic downturns.

<span>This study aims to determine the effect of economic freedom and national income per capita <span>of the human development index. Countries will be classified into 4 groups according to the <span>classification in the HDI are very high human development (with an HDI of 0788 or above), <span>high human development (with an HDI of 0677 to 0.784), medium human development <span>(HDI of 0488-0669), and low human development (HDI of less than 0488). The analysis <span>method used in this study is a model of data panel to investigate the influence of Economic <span>Freedom and Income per capita of the HDI. The results showed that for the group of <span>countries very high human local development per capita income is only significant effect on <span>the HDI, for the group of countries High human development and medium human <span>development only economic freedom that affects the HDI, while the low human <span>development group showed that income per capita and Economic Freedom does not affect <span>the HDI.</span></span></span></span></span></span></span></span></span></span></span><br /></span>

Modern-day economic growth is focused on productivity and innovation, which puts information and technology integral to economic policy issues. In this context, ICT has a significant position as it increases efficiency, promotes information dissemination, and enhances innovation, resulting in a global shift in social and human development processes. The purpose of this research is to examine the significance of ICT diffusion in fostering human development in the South Asian Association for Regional Cooperation (SAARC) countries from 2005 to 2019. ICT diffusion is measured using a principal component analysis (PCA)- based composite index that combines telephone, mobile, broadband, and internet usage. The United Nations Development Programme (UNDP) created Human Development Index (HDI) serves as a proxy for human development. To adjust for any confounding bias, macroeconomic indicators, such as gross domestic product (GDP), inflation, and trade are also included. Utilizing econometric methods robust to cross-sectional dependence (CSD) such as the dynamic common correlated effect (DCCE) estimator, Driscoll-Kraay (DK) regression, and the Dumitrescu-Hurlin (DH) causality test, the study highlights the strong positive relationship between ICT and HDI. In addition, GDP boosts HDI owing to productivity gains. Similarly, trade expansion, in addition to its direct effects, also influences HDI by boosting economic growth. Inflation, on the other hand, has a negative impact on the HDI. Consequently, the study recommends a cohesive setting that unifies ICT with human development in this modern framework.

Despite efforts to improve quality human capital, Nigeria consistently scores poorly in the human development index (HDI). The significance of institutions in human development has been emphasized in recent times as countries grapple with achieving sustainable development goals. Studies show that quality institutions provide equitable and fair development opportunities and capabilities to enhance human development. This study, therefore, examined the effect of institutions—corruption, democratic accountability, and government stability on Nigeria’s human capital development index. The ARDL model is employed to analyze data from 1990 to 2022. The outcomes show that a stable political system, high levels of democratic accountability, improved per capita GDP, employment generation, and consistent government spending on essential sectors are all critical for human capital development. Conversely, high rates of poverty and corruption have negative impacts on human capital. The findings lend credence to the intuition that strong institutions have a significant impact on enhancing quality human capital through improved healthcare, education, human capabilities, poverty reduction, employment opportunities, and security. It is therefore recommended that institutional reform that guarantees human development be pursued.

El objetivo es proponer un método de evaluación del bienestar en los destinos turísticos desde la perspectiva del desarrollo humano, concretado en un Índice de Desarrollo Humano Turístico (IDHT) individual. La visión expresada en un índice de valoración de vida se considera válida y oportuna para estudiar la realidad turística. En la metodología que se aplica y propone la calidad de vida se mide mediante el Índice de Desarrollo Humano (IDH) del Programa de las Naciones Unidas para el Desarrollo (PNUD). El IDHT se construye con indicadores de ingreso por turismo, educación universal y salud de los prestadores de servicios; tres dimensiones consideradas como principales en el desarrollo humano sin las cuales otras metas de bienestar suelen ser inalcanzables. Permite medir el nivel de vida ideal y muestra los efectos de políticas económicas y sociales del turismo (Rincón y Labarca, 2013: 109, 110). Los resultados para Tapijulapa, Pueblo Mágico, revelan que el turismo genera bienestar humano con nivel medio y alto en el IDHT (0,550 y más de 0,800). Los componentes del IDHT reflejan acceso a ingresos turísticos con nivel medio y alto (0,550 y más de 0,800); la salud es valorada en el nivel alto (0,700 y más de 0,800) y la educación en nivel bajo y medio (Menos de 0,550, hasta 0,799). Indudablemente se deben llevar a cabo acciones para mejorar los índices de bienestar, con atención prioritaria a la educación de los prestadores de servicios.

In the context of the global concept of human development, human development is one of the ultimate goals of economic growth, which is embodied in the development strategy of the regions, Chernihiv region in particular. Demographic indicators of the region have a negative trend. In 1995-2019, the population of the region decreased by 27.5%. Migration growth is also negative. As a result, the regional human development index is low (16 out of 22 positions). To radically change the situation, administrative and social measures are required above all for "comfortable life", "social environment" and "decent work" blocks. In the context of decentralization of power, these issues should be solved at the regional level. The article presents the most acute problems and priority measures that will improve the human development index. The creation of new jobs will reduce the unemployment rate, which is at the level of 11.2% of the economically active population. Besides only by increasing household incomes it will be possible to raise the share of expenditures on health care, education, and cultural development. In 2017, households in Chernihiv region in the village spend UAH 214.80 on health care per month per household, for education - UAH 9.60. per family, in the city - UAH 337.55 and UAH 103.76, respectively. Leisure expenses also differ significantly and amount to UAH 155.45 in the city and UAH 43.42 in the village per month per household. The development of competencies and skills on the basis of lifelong learning will allow equalizing the personnel imbalance in the labor market. The approximate financial plan for 2021-2023 for the implementation of the program “Human Resources Development” is UAH 2,102,801. Implementation of the main provisions of regional human development policy will ensure the optimization of the territorial organization of regional economic systems, increase the efficiency of social production, improve the quality of life of the territorial communities’ population, and accelerate region’s development.

Human Development Index (HDI) is a composite index obtained by a weighted aggregation of other three indices, each measuring one aspect, namely life expectancy, education and real per capita income. Intra-country equality in income distribution, however, is very important with regard to quality of life and, thus, human development. This paper is concerned with the question that if the measure of income equality also were included in construction of the HDI, then what would be the relative weights of different indices. One method could be to assign equal weights to all the four, but it is too pragmatic. Alternatively, the principal component analysis (PCA) may be applied to derive weights. But, again, the PCA is an overly elitist method that undermines the poorly correlated set of variables, which might be very important in their own right, in favor of highly correlated set of variables. We propose an alternative method that maximizes the sum of absolute coefficients of correlation of the composite index with the constituent indices. Such an index is inclusive in nature and gives proper representation to weakly correlated variables also. The method has been applied to data of 125 countries and the HDI so constructed has been compared with the PCA HDI and HDR (UNDP) HDI. We find substantial ups and downs in the HDI ranks of different countries.

This paper builds a small open economy business cycle model with labor and financial market frictions that incorporates frictional, endogenous self-employment entry and a link between formal credit markets, informal credit, and the labor market. The paper then shows that the model is consistent with the cyclical behavior of both labor and credit markets in Latin American economies and analyzes the aggregate consequences of cyclical macroprudential policy for labor market and aggregate dynamics. It is found that a policy that reduces credit fluctuations successfully reduces consumption, investment, and output volatility, but generates substantially higher unemployment fluctuations in response to productivity shocks. Moreover, the policy increases the volatility of all these variables in response to net worth shocks. The link between formal credit markets, input credit between firms, and self-employment plays a key role in explaining the adverse impact of macroprudential policy on unemployment dynamics. The findings point to potential gains from policy complementarities between macroprudential regulation and active labor market interventions over the business cycle.