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.

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).

IMPACT OF GOVERNMENT DEBT ON FINANCIAL SECURITY OF UKRAINE

2017 ◽  
Author(s):  
Olena Pikaliuk ◽  
◽  
Dmitry Kovalenko ◽  
Keyword(s):  
Economic Development ◽  
Public Debt ◽  
Positive Impact ◽  
The State ◽  
Financial Security ◽  
State Budget ◽  
The Public ◽  
Debt Security ◽  
The Stability ◽  
The Impact

One of the main criteria for economic development is the size of the public debt and its dynamics. The article considers the impact of public debt on the financial security of Ukraine. The views of scientists on the essence of public debt and financial security of the state are substantiated. An analysis of the dynamics and structure of public debt of Ukraine for 2014-2019. It is proved that one of the main criteria for economic development is the size of public debt and its dynamics. State budget deficit, attracting and using loans to cover it have led to the formation and significant growth of public debt in Ukraine. The volume of public debt indicates an increase in the debt security of the state, which is a component of financial security. Therefore, the issue of the impact of public debt on the financial security of Ukraine is becoming increasingly relevant. The constant growth and large amounts of debt make it necessary to study it, which will have a positive impact on economic processes that will ensure the stability of the financial system and enhance its security.

Assessment of the influence of the spatial environment on the socio-economic development of the municipality

2019 ◽  
Vol 40 (3) ◽  
pp. 148-155
Author(s):  
K. N. Yusupov ◽  
V. M. Timiryanova, ◽  
Iu. S. Toktamysheva ◽  
A. F. Zimin,
Keyword(s):  
Economic Development ◽  
Socioeconomic Development ◽  
Statistical Data ◽  
Geographical Location ◽  
Integrated Approach ◽  
The State ◽  
Municipal District ◽  
Socio Economic Development ◽  
Spatial Environment ◽  
The Impact

The article presents a methodology for assessing the impact of spatial environment on the socioeconomic development of municipalities. It relies on existing tools for assessing the state and potential of the geographical location of municipalities. An integrated approach allows to determine the potential of the interaction of the municipality with the neighbors of the first and second order. The methodology was tested on statistical data on the Blagovarsky municipal district.

Open Door System and Endogenous Growth in Indian Economy: An Empirical Analysis on the Role of Human Capital and R&D in Explaining Industrial Productivity

2021 ◽  
Vol 46 (1) ◽  
pp. 24-37
Author(s):  
Arjun K. ◽  
Sanjay Kumar ◽  
A. Sankaran ◽  
Mousumi Das
Keyword(s):  
Human Capital ◽  
Exchange Rate ◽  
Real Exchange Rate ◽  
Endogenous Growth ◽  
Value Added ◽  
Capital Formation ◽  
Knowledge Capital ◽  
Test Technique ◽  
Long Run ◽  
The Impact

The present study investigates the impact of human capital, knowledge capital which is a function of human capital, and real exchange rate scenario in explaining long-run industrial total factor productivity (TFP) from 1980 to 2015 on the theoretical basis of the open endogenous growth model. The variables employed in the contemporary study include manufacturing value added (MNVA) as industrial output measure, gross fixed capital formation (GFCF) as a measure of capital and labour input which is measured using employment data. Gross enrolment ratio (GER) is taken as a measure for human capital formation, expenditure on research and development (R&D) as a proxy for knowledge capital, and real exchange rate indicates global economic shocks. The study involves estimating TFP for Industrial Sector during the post-liberalization period by employing Cobb-Douglas production function. The ARDL bounds test technique for cointegration revealed long-run relation among the varying factors studied. The Toda-Yamamoto causality test concluded bi-directional causality running between, R&D expenditure and Industrial TFP which sends a strong signal to the policymakers for a well-framed long-term integrated approach for human & knowledge capital formation which will act as a strong impetus for manufacturing firms to come up in terms of augmenting production and productivity and expanding foreign market horizon. JEL Classification: D24, E2, J24

scholarly journals Sister Ship Binding Clause as a Reinforcement of Debt Repayment Legal Certainty on Ship Mortgage

Yuridika ◽  
2020 ◽  
Vol 35 (3) ◽  
pp. 501
Author(s):  
Fani Martiawan Kumara Putra
Keyword(s):  
Economic Development ◽  
The State ◽  
Business Activity ◽  
Legal Certainty ◽  
Marine Transportation ◽  
Significant Development ◽  
Legal Rules ◽  
Sister Ship ◽  
The Impact ◽  
National Borders

The field of marine transportation plays a role that is not less important than land transportation in terms of economic development in Indonesia. As a result of globalization, business activity continues to increase, whether it is business in the field of marine transportation or outside the field, it is certainly undeniable that the activity requires a very large funds, which funds can be obtained by one way is to apply for credit/loans. Large amount of loans will only be given with the imposition of collateral as a further process. The imposition of collateral for large amount of loans may designate the ship as its collateral object by utilizing the Mortgage security agency. However, when the ship is being vetted on a voyage across national borders, the impact is when its debts mature, then the execution of such ship will be difficult, caused by the inadequate legal rules in Indonesia, and not all countries ratify the ship’s arrest convention. This study aims to provide a solution in order to achieve legal certainty of Mortgaged object execution that being across national borders for a significant development of shipping business. This research is normative research. The result obtained is the need of a clause in the Mortgage security document concerning the binding of sister ship with equal value, as the collateral object backup, when the execution of ship loaded with Mortgage security is unable to be done since it is located outside the state border.

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 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.

scholarly journals The Impact of New Technologies and Human Capital on the Contribution of New Ways to the Economy of the Regions of the Northwest Federal District

2017 ◽  
Vol 5 (2) ◽  
pp. 43-45 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Komi Republic ◽  
Per Capita Gdp ◽  
Fixed Assets ◽  
Pskov Region ◽  
Per Capita ◽  
The Impact

Econometric impact assessments of new technologies and human capital on a contribution of new technological ways to per capita GDP in regions of Northwest Federal District of Russia are received. Coefficients of elasticity of a contribution of new ways to per capita GDP on use of the new technologies estimated by armament the work equity new fixed assets and for use of the human capital estimated by a share of busy workers with the higher education are estimated. The use of new technologies is the most effective in St. Petersburg, in the Murmansk, Leningrad regions and in the Komi Republic. Efficiency use of new technologies in the Pskov region is the lowest. The human capital is most effectively in the Komi Republic, the Murmansk and Leningrad regions. Efficiency use of a human capital in the Pskov region is the lowest.

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