Growth and Social Capital: Empirical Analysis of the Relationship

2019 ◽  
pp. 128-134
Author(s):  
Ksenia V. Bagmet

The article provides an empirical test of the hypothesis of the influence of the level of economic development of the country on the level of development of its social capital based on panel data analysis. In this study, the Indices of Social Development elaborated by the International Institute of Social Studies under World Bank support are used as an indicators of social capital development as they best meet the requirements for complexity (include six integrated indicators of Civic Activism, Clubs and Associations, Intergroup Cohesion, Interpersonal Safety and Trust, Gender Equality, Inclusion of Minorities), comprehensiveness of measurement, sustainability. In order to provide an empirical analysis, we built a panel that includes data for 20 countries divided into four groups according to the level of economic development. The first G7 countries (France, Germany, Italy, United Kingdom); the second group is the economically developed countries, EU members and Turkey, the third group is the new EU member states (Estonia, Latvia, Lithuania, Romania); to the fourth group – post-Soviet republics (Armenia, Georgia, Russian Federation, Ukraine). The analysis shows that the parameters of economic development of countries cannot be completely excluded from the determinants of social capital. Indicators show that the slowdown in economic growth leads to greater cohesion among people in communities, social control over the efficiency of distribution and use of funds, and enforcement of property rights. The level of tolerance to racial diversity and the likelihood of negative externalities will depend on the change in the rate of economic growth. Also, increasing the well-being of people will have a positive impact on the level of citizens’ personal safety, reducing the level of crime, increasing trust. Key words: social capital, economic growth, determinant, indice of social development.

2017 ◽  
Vol 18 (4) ◽  
pp. 745-757 ◽  
Author(s):  
Neringa SLAVINSKAITĖ

The paper analyses the fiscal decentralization effects on economic growth in unitary countries of European Union for the period 2005–2014. The empirical analysis was based on the multiple regression method. The fixed effect panel model was used as framework for the analysis. In order to examine the different impact of fiscal decentralization, the same analysis was applied to subsets of countries categorized into two groups according to countries’ level of economic development. This further analysis found that there is positive relationship between fiscal decentralization and economic growth in low level of economically developing countries and no relationship in high level of economically developed countries. These results suggested that fiscal decentralization is not always instrument for promotion of economic growth, which means that country’s economic development level is an important factor when introducing reform of fiscal decentralization. The originality of this article – new fiscal decentralization index and evaluated fiscal decentralization level influence for countries economic growth.


2018 ◽  
Vol 14 (2) ◽  
pp. 31
Author(s):  
Rewat Thamma-Apiroam

This study aims at testing the causal relationship between human capital via the government spending share on education and economic growth using cross-country evidence and investigating the relationship pattern between such human capital – growth and the level of economic development based on 30 country data. The study employs a standard approach through uniting root test and Granger causality test. The data is annually collected during the periods 1983 – 2012, totaling to 30 observations. The finding indicates that for both developing and developed countries, education human capital cannot explain much the economic growth and vice versa. In addition, from the relationship pattern between human capital – growth and the economic development level neutrality is the most commonly found pattern for both developing and developed countries. However, we see somewhat difference between them in terms of causation running from growth to human capital. That is, the number of developed countries is almost double as compared to the developing ones. This gives rise to a policy implication for developed countries in that it should put more emphasis on the government education spending share to GDP since it can help boost human capital in the long run.


2016 ◽  
Vol 19 (1) ◽  
pp. 88-106
Author(s):  
David, Oladipo Olalekan ◽  
Noah, Oluwashina Afees ◽  
Agbalajobi, Sunday Ayodele

Nigeria is richly endowed with vast but largely untapped natural resources including solid minerals and arable land. Mining industries have been viewed as key drivers of economic growth and development process, as lead sectors that drive economic expansion which can lead to higher levels of social and economic well being. Contributions from mining as a percentage of GDP in rich countries are usually between 2-8 percent. In Nigeria, the contribution is still low at 0.15 percent, one of the major factors responsible for this is as a result of over dependence of the Nigerian economy on the proceeds from the sale of crude oil for over four decades which is at the expense of other sectors such as mining and agriculture that contributed significantly to the Nigerian economy before the emergence of crude oil. In the light of this, the study presents an empirical analysis of the contribution of mining sector to the economic development in Nigeria from 1960 to 2012. The study employed Error Correction Model (ECM) to examine the short run and long run effect of mining sector‟s contribution to Nigeria economic development. The study harnessed time series data to evaluate the impact of the specified key sectors; crude petroleum and gas, solid mineral, manufacturing and agriculture on the economic development proxied by per capita income. Equally highlighted are the problems militating against the mining sector in Nigeria and the strategies for its transformation of the economy. The finding revealed that the value of solid mineral have strong impact on economic development in Nigeria. Thus, Nigeria needs to urgently develop her monumental mining potentials in order to diversify her economy and to achieve rapid economic growth and development.


Author(s):  
David E. Bloom ◽  
Michael Kuhn ◽  
Klaus Prettner

The strong observable correlation between health and economic growth is crucial for economic development and sustained well-being, but the underlying causality and mechanisms are difficult to conceptualize. Three issues are of central concern. First, assessing and disentangling causality between health and economic growth are empirically challenging. Second, the relation between health and economic growth changes over the process of economic development. In less developed countries, poor health often reduces labor force participation, particularly among women, and deters investments in education such that fertility stays high and the economy remains trapped in a stagnation equilibrium. By contrast, in more developed countries, health investments primarily lead to rising longevity, which may not significantly affect labor force participation and workforce productivity. Third, different dimensions of health (mortality vs. morbidity, children’s and women’s health, and health at older ages) relate to different economic effects. By changing the duration and riskiness of the life course, mortality affects individual investment choices, whereas morbidity relates more directly to work productivity and education. Children’s health affects their education and has long-lasting implications for labor force participation and productivity later in life. Women’s health is associated with substantial intergenerational spillover effects and influences women’s empowerment and fertility decisions. Finally, health at older ages has implications for retirement and care.


Author(s):  
Davinder Singh ◽  
Jaimal Singh Khamba ◽  
Tarun Nanda

Micro, Small and Medium Enterprises (MSMEs) have been noted to play a significant role in promoting economic growth in less developed countries, developing and also in developed countries. Worldwide, the micro and small enterprises have been accepted as the engine of economic growth of any nation. Small and Medium Enterprises are the backbone of the economies, because it trigger employment, output, export, poverty alleviation, economic empowerment, economic development etc. in developed as well as in developing countries. It is more important to developing countries as the poverty and unemployment are burning problems. MSMEs have been playing a momentous role in overall economic development of a country like India where millions of people are unemployed or underemployed. Therefore, the growth of small sectors is essential for the growth in the GDP, employment generation, total manufacturing production and export. India, being one of the fastest growing economies of the world, needs to pay an honest attention for the utmost growth of MSMEs for its increased contribution in above areas.


2021 ◽  
Vol 1 (1) ◽  
pp. 36-43
Author(s):  
Jia Liu ◽  
Lun Li

Capital, natural resources, technology and education are often considered to be the most important factors in improving the level of economic development. China is in the "efficiency-driven" stage of economic development. There are objective laws in the development of education level and economic growth, but they interact with each other. Economic growth provides the foundation and necessary conditions for the development of education. At the same time, the role of education in promoting economic growth is also very obvious. Based on the perspective of postgraduate training, this paper studies the role of education in economic efficiency-driven, through the study of theory, data collection and empirical analysis, combined with the development characteristics of China's higher education, and compares China's and US higher education policies to guide China's higher education. The development of education, and then promote the transformation of China into the "innovation-driven" stage, has certain theoretical and practical significance.


2018 ◽  
Vol 13 (8) ◽  
pp. 217
Author(s):  
Japhet Jacksoni Katanga ◽  
Seleman Pharles

Globalization can be defined as the process based on international cooperation strategies, the aims of globalization is to expanded the operation of a certain business or service to become into a worldwide level, Globalization facilitate the modern advance technology which help community to undergo the social, political and economic development. Globalization economic has reinforced the margination for African developing economies and make to be dependent for the few primary commodities or service whereby the price and demand are extreme determine by externally. On this outcome it lead some of the African countries to be turn into poverty or economic inequality due let their own resources being determine by developed countries. On these paper you will get a chance to oversee the effect of adaption globalization to Tanzania economic growth.


1970 ◽  
Vol 2 (1) ◽  
pp. 53-59
Author(s):  
Ralph K. Davidson

Today, the need for economic development is self-evident to the millions of people in Asia, Africa and Latin America who suffer from malnutrition, are ill-housed, poorly educated, and either unemployed or grossly underemployed. The ultimate objective of economic development is to raise the standard of life – the quality of life - for the mass of the people, to widen their area of choice, to open up new opportunities for human well-being. The less developed countries have two-thirds of the 3.5 billion people but receive only 12.5 percent of the world's gross national product. Life appears to be an economic treadmill with the future blighted by an excessive rate of population growth for millions of people. India provides a good illustration of the problem. With an estimated population of 525 million at mid-1968, India had 15 percent of the world's population, 2.4 percent of the world's land area, hardly 2 percent of the world's income, and an annual per capita income level of around $75.


2012 ◽  
Vol 59 (3) ◽  
pp. 293-310 ◽  
Author(s):  
Gordan Stojic

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.


Author(s):  
Viktor Kozlovskij

Economic development and socioeconomic cohesion have always been an object of scientific research. In particular, this issue had become a focus of attention after EU enlargement in 2004 and Great Recession in 2007–2009. The above changes have given way to a certain slowdown in economic growth in most EU countries along with triggering a range of divergence processes between EU countries and regions. As a response to situation, the EU offered a Europe 2020 strategy, in which smart growth was mentioned as one of critical instruments to deal with increasing menaces. The objective of the study is to evaluate the progress of the main smart growth indicators (investment in research and development (R&D), employment rate and share of population obtaining tertiary education) in the EU over the period 2001–2017 within the framework of the economic cohesion concept. The paper seeks to explore the EU from different perspectives. First, the EU new member states (EU-10) and the old ones (EU-14) were compared. Second, the EU countries were divided by economic development level (calculated by GDP per capita in PPP): highly developed (H-7), medium developed (M-7) and less developed (L-7) countries. Finally, aggregate cohesion indices of all three smart growth indicators were calculated for the entire EU (EU-28). The research findings have revealed some interesting trends. First, each smart growth indicator’s progress depends on countries’ economic development level. Aggregate values for more developed countries (EU-14, H-7 and G-3) are always higher than the EU average (EU-28) and aggregate values for less developed economies are basically lower. Second, cohesion progress of smart growth indicators was influenced by economic recession in 2007–2009. It is argued that cohesion is evident in times of economic growth, but its progress ceases or divergence might occur in case of economic hazards. However, despite the expanding cohesion between the new and the old member states, a gap between certain groups of countries is even growing. This is clearly evident when the EU member states are divided into groups subject to the level of their economic development.


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