Infrastructure, Education, and Economic Development in India

2017 ◽  
pp. 1-13
Author(s):  
Sebak K. Jana ◽  
Asim K. Karmakar
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Infrastructure Development ◽  
Physical Infrastructure ◽  
Level Of Economic Development ◽  
Per Capita ◽  
The Impact ◽  
Huge Variation

A large number of studies reveal that regions with larger stocks of physical infrastructure and human capital often are associated higher level of economic development. The present chapter attempts to find whether this is valid for India. Factor Analysis has been used to find the index of scores of infrastructure of the selected 20 major states of India. We have then used regression analysis to find the impact of infrastructure and education on economic development of the states. The results indicate that there is huge variation of infrastructure development across the states in India. The findings also indicate the significant impact of infrastructure development and education on economic development of the state, measured in terms of Per Capita Net State Domestic Product (PCNSDP).

scholarly journals Statistical analysis of the driving forces of anthropogenic impact on the environment

2020 ◽  
Vol 208 ◽  
pp. 01017
Author(s):  
Mikhail G. Prokopyev ◽  
Anton D. Vitukhin
Keyword(s):  
Economic Development ◽  
Population Size ◽  
Russian Federation ◽  
Anthropogenic Impact ◽  
Driving Forces ◽  
Technological Factor ◽  
Level Of Economic Development ◽  
The Russian Federation ◽  
Per Capita ◽  
The Impact

The aim of the study is to analyze the driving forces of the impact of human activities on the environment. The problem of assessing the influence of the population size, the level of economic development, as well as the technological factor on the volume of emissions of pollutants into the atmospheric air in the regions of the Russian Federation is considered. A retrospective of models for analyzing the main driving forces of anthropogenic impact on the environment is presented. The study is based on the STIRPAT model. The results of the econometric assessment showed that both the population and the level of economic development (GRP per capita) have a decisive influence on the increase in air emissions in the regions of the Russian Federation. A decrease in the energy intensity of GRP, as well as the share of manufacturing and extractive industries in the sectoral structure of GRP, also leads to a significant decrease in the environmental load. However, the values of the corresponding environmental elasticities are significantly lower than the elasticities of emissions of pollutants into the atmosphere with changes in population size and economic growth (GRP per capita).

Human Capital Formation and Economic Growth in Sub-Saharan African Countries: An Empirical Investigation

2020 ◽  
Vol 68 (2) ◽  
pp. 249-268
Author(s):  
Taiwo Akinlo ◽  
Olusola Joel Oyeleke
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Education And Health ◽  
Level Of Economic Development ◽  
Sub Saharan ◽  
Generalised Method Of Moments ◽  
The Impact

This study explored human capital–economic growth nexus and determine if the relationship is influenced by the level of economic development in 36 sub-Saharan African countries during the period from 1986–2018. The study used dynamic generalised method of moments (GMM) and static estimations to achieve the objective of the study. The study used alternative indicators of human capital to provide strong evidence and robust results. The study also considered the income groups within the region. The study found that human capital contributed to economic growth, as its indicators are positive and significant. The study also found that the connection that exists between human capital and economic growth also depends on the level of economic development. Generally, our finding emphasised that both education and health measures of human capital are important, and that policymakers must consider the level of economic development while formulating policies that can enhance the impact of human capital on economic growth in the Sub-Saharan Africa region.

Patent Growth in the Old Dominion: The Impact of Railroad Integration before 1880

1992 ◽  
Vol 52 (2) ◽  
pp. 389-400 ◽  
Author(s):  
William H. Phillips
Keyword(s):  
Nineteenth Century ◽  
Human Capital ◽  
Economic Development ◽  
Endogenous Growth ◽  
Market Integration ◽  
The State ◽  
Rail Network ◽  
Per Capita ◽  
The Impact

Endogenous growth theories suggest that market integration will be more conducive to economic development when the previously isolated regions have large stocks of human capital. This paper uses the level of per capita patenting in nineteenth-century Virginia to measure this human capital. By the end of the 1870s, the rail network of the Old Dominion was rapidly being integrated with the rest of the nation. Inventiveness spread throughout northern Virginia, but the former plantation areas of the state fell behind.

Economic development: How does it influence the survival of different types of autocracy?

2020 ◽  
Vol 41 (5) ◽  
pp. 711-727
Author(s):  
Daniel Stockemer ◽  
Steffen Kailitz
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Research Question ◽  
Regime Type ◽  
Modernization Theory ◽  
Different Types ◽  
Level Of Economic Development ◽  
Using Data ◽  
The Impact ◽  
Economic Modernization

Modernization theory is one of the most influential theories in political science. However, to date, studies testing the impact of modernization on political regimes have almost completely focused on democracies. We aim at broadening the discussion to autocracies and ask the following research question: What impact has economic development on the survival of different types of autocracy? Using data covering 1946 to 2016, we ascertain – mainly through logistic regression analysis – that the level of economic development affects not only the endurance of democracies but also that of various types of autocracy. In more detail, we find that economic development prolongs the survival of ideocracies and personalist autocracies. The effect of economic modernization on military dictatorships, monarchies and electoral autocracies is very limited. In contrast, one party autocracies are the only regime type whose survival chances (moderately) decrease with modernization.

Does financial development help bridge the gap in income inequality? Evidence from selected Asian countries

2021 ◽  
Vol 12 (1) ◽  
pp. 136-136
Author(s):  
Nur Syazwani Mazlan
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Income Inequality ◽  
Financial Development ◽  
Positive Relationship ◽  
Panel Regression ◽  
Asian Countries ◽  
Level Of Economic Development ◽  
High Level ◽  
The Impact

This study delves into the effects of financial development (FD) on income inequality (IE), involving 12 Asian countries, with three different income level groups, over a period of 14 years (between 1993 and 2017). The three groups concerned comprise countries with a low, middle and high level of economic development. The findings derived through panel regression analysis, suggest that the impact of financial development on income inequality, with regards to the Asian countries selected for this investigation, is dependent on their level of economic development. It was also established, that for countries with a low economic standing, financial development has a positive relationship with income inequality.

scholarly journals Using fuzzy logic for evaluating the level of countries’ (regions’) economic development

2012 ◽  
Vol 59 (3) ◽  
pp. 293-310 ◽  
Author(s):  
Gordan Stojic
Keyword(s):  
Mathematical Model ◽  
Economic Development ◽  
Fuzzy Logic ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Industrial Growth ◽  
The Poor ◽  
The World ◽  
Level Of Economic Development ◽  
Per Capita

There are several divisions of countries and regions in the world. Besides geo-political divisions, there also are economic divisions. The most common economic division is the that on developed countries and the poor ones. These divisions are a consequence of the level of: GDP, GDP per capita, unemployment rate, industrial growth, and so on. The question is how to define a mathematical model based on which the following will be assessed: who is rich and who is poor, or who is economically developed and who is not? How the boundaries of transition from one category to another can be defined? This paper presents a model for evaluating the level of economic development of countries and regions using "fuzzy" logic. The model was tested on a sample of 19 EU member countries and aspirants for membership.

scholarly journals Econometric models for estimating current and forecast values of the level of human capital development in the Russian economy

2020 ◽  
Vol 26 (1) ◽  
pp. 52-67
Author(s):  
Nina Baranova ◽  
Sergey Larin ◽  
Evgeny Khrustalyov
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Negative Impact ◽  
Import Substitution ◽  
Econometric Models ◽  
Practical Significance ◽  
Human Capital Development ◽  
Russian Economy ◽  
Capital Development ◽  
The Impact

Studies of factors of sustainable economic development in modern conditions are highly relevant for Russia due to the constant increase and tightening of sanctions restrictions. They have a negative impact on the introduction of innovative developments and economic growth, and reduce the competitiveness of Russian enterprises and their products on world markets. Human capital can become one of the key factors for countering sanctions restrictions, improving the efficiency of economic development and gaining additional competitive advantages for domestic enterprises and the economy as a whole. Assessing the impact of human capital on the sustainable development of the economy is difficult, since it is one of the specific forms of capital. When making appropriate measurements, economic scientists rely on a number of developed theoretical methods and practical tools that support them, which allow us to obtain fairly accurate values of the human capital development index (HDI) based on statistical data. First of all, this is the current UN methodology for calculating the HDI indicator, as well as modern software systems OriginPro-8.6 and Eviews-10.0, which have sufficiently advanced functionality for performing calculations. Russia today has all the necessary prerequisites and opportunities for progressive social and economic development. However, the formation of econometric models will help to timely determine the current and forecast values of the level of human capital development for individual enterprises, industries, and the country’s economy as a whole. This paper shows the practical application of the econometric tools of all the above approaches to obtain the calculated values of the HDI indicator for different time periods and different scenarios for the development of the Russian economy. The results obtained confirmed the high practical significance of the tools used and the acceptable accuracy of the calculations. However, the current and forecast values of the level of human capital development alone will not be able to ensure the effective development of the Russian economy. On the contrary, the effective use of human capital in the implementation of import substitution strategies and national projects will allow our country to become one of the world’s leading economic development countries.

scholarly journals Level of Repression in Altai Regions between 1935 and 1937: An Attempt at Using Statistical and GIS Methods

2021 ◽  
Vol 23 (3) ◽  
pp. 87-103
Author(s):  
Ekaterina M. Mishina ◽  
◽  
Keyword(s):  
Economic Development ◽  
Well Being ◽  
Development Indicators ◽  
Altai Region ◽  
Spatial Factor ◽  
Socio Economic Development ◽  
Per Capita ◽  
Gis Methods ◽  
The Impact ◽  
Individual Cluster

This article focuses on the analysis of the impact of socio-economic development indicators of Altai region and Oyrot autonomous region on the eve of the Great Purge (1935 — first half of 1937) on the regional intensity of repression. Employing statistical methods (regression analysis), the author verifies the hypothesis that in the areas with the highest level of well-being of the population, the level of repression was also higher. It is established that the turnover and expenditures per capita compared with other economic indicators had the greatest influence on repression levels in Altai and Oyrotia regions. Based on the results of the analysis of regional statistics, the author of the article puts forward a theory that the thesis proclaimed by the Bolsheviks to justify the failure of economic development by the actions of the “enemies” in practice seems untenable, since economically lagging regions were characterised by a relatively low level of repression. In the second part of the article, the author presents a typology of districts of Altai and Oyrotia regions based on the results of cluster analysis of various groups of socio-economic development indicators. Additionally, she substantiates the hypothesis about the influence of the spatial factor on the intensity of repression: the groups of regions of each individual cluster consist mainly of adjacent regions.

scholarly journals FACTOR ANALYSIS OF THE CENTRAL BLACK EARTH MACROREGION AREAS ECONOMIC DEVELOPMENT

2021 ◽  
Vol 7 (1) ◽  
pp. 168-187
Author(s):  
Irina N. Titova
Keyword(s):  
Economic Development ◽  
Factor Analysis ◽  
Growth Factors ◽  
Human Potential ◽  
Infrastructure Development ◽  
Production Potential ◽  
Internal Factors ◽  
Innovation Potential ◽  
Socio Economic Development ◽  
Regional Forecasts

Effective implementation of regional policy is impossible without assessing the current environment of the region’s functioning, which is formed under the influence of internal factors. Among the many factors that determine the socio-economic development of the region, we have identified: human potential, innovation potential, investment potential, digitalization of the economy, production potential, quality of life and infrastructure development. Each of the selected factors can be characterized by using a system of statistical indicators. In regional forecasts, internal factors act as control parameters, changing them it is possible to find an opportunity to change the course and direction of socio-economic processes in the region. This explains the necessity and relevance of the study. The purpose of this article is to form a set of indicators to assess the factor load on the socio-economic development of the region and determine its vector. The method of factor analysis on an indicative basis was used for achieving this goal. The importance of factorial analysis lies, first of all, in the fact that its results will make it possible to assess the share of influence of each factor on the “level of socio-economic development of the region” and to develop appropriate tools for managing growth factors. Taking into account the formed system of indicators, an analysis of the Central Black Earth macroregion areas economic development was carried out. The greatest factor load on the socio-economic development of the region is exerted by the innovation potential, production potential and human potential of the region. As a result of the study, a matrix of the regions distribution by the level of socio-economic development was built, reflecting the position of the region in dynamics. During the study period, the Voronezh region occupies a leading position, and the Tambov region is an outsider region. In addition, for each region, growth factors and restrictions on the development of the region were identified, which must be taken into account when building regional forecasts.

scholarly journals The impact of human capital on innovative development of the region

2021 ◽  
Vol 20 (3) ◽  
pp. 160-167
Author(s):  
M. V. Dorokhov
Keyword(s):  
Health Care ◽  
Human Capital ◽  
Economic Development ◽  
Social Security ◽  
Social Factor ◽  
Innovative Development ◽  
Analytical Assessment ◽  
Main Factors ◽  
Education Culture ◽  
The Impact

The article provides an analytical assessment of the impact of human capital on the pace of economic development of the state. Human capital acts as a key production and social factor in the development of the economy. The main factors contributing to the development of human capital are identified: health care and education, culture and sports, social security.

Sign in / Sign up

Export Citation Format

Share Document