scholarly journals Political Fragmentation & Economic Growth in U.S. Metropolitan Areas

2019 ◽  
Author(s):  
Christopher B Goodman

This paper analyzes the impact of local political fragmentation on population, employment, and per capita money income growth in 314 U.S. metropolitan areas. The results are mixed. Smaller central cities and more special district overlap are important for population growth. The find- ings do not generalize to employment or per capita money income growth. These findings mask important regional variation: political fragmentation is largely unrelated to economic growth in Midwestern and Western metropolitan areas. These results partially support the hypothesis that governmental fragmentation can enhance local economic growth; however, the overall impact appears muted relative to a metropolitan area’s economic characteristics

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.


Author(s):  
Darma Mahadea ◽  
Irrshad Kaseeram

Background: South Africa has made significant progress since the dawn of democracy in 1994. It registered positive economic growth rates and its real gross domestic product (GDP) per capita increased from R42 849 in 1994 to over R56 000 in 2015. However, employment growth lagged behind GDP growth, resulting in rising unemployment. Aim and setting: Entrepreneurship brings together labour and capital in generating income, output and employment. According to South Africa’s National Development Plan, employment growth would come mainly from small-firm entrepreneurship and economic growth. Accordingly, this article investigates the impact unemployment and per capita income have on early stage total entrepreneurship activity (TEA) in South Africa, using data covering the 1994–2015 period. Methods: The methodology used is the dynamic least squares regression. The article tests the assertion that economic growth, proxied by real per capita GDP income, promotes entrepreneurship and that high unemployment forces necessity entrepreneurship. Results: The regression results indicate that per capita real GDP, which increases with economic growth, has a highly significant, positive impact on entrepreneurial activity, while unemployment has a weaker effect. A 1% rise in real per capita GDP results in a 0.16% rise in TEA entrepreneurship, and a 1% rise in unemployment is associated with a 0.25% rise in TEA. Conclusion: There seems to be a strong pull factor, from income growth to entrepreneurship and a reasonable push from unemployment to entrepreneurship, as individuals without employment are forced to self-employment as a necessity, survival mechanism. Overall, a long-run co-integrating relationship seems plausible between unemployment, income and entrepreneurship in South Africa.


2007 ◽  
Vol 13 (3) ◽  
pp. 379-388 ◽  
Author(s):  
Stanislav Ivanov ◽  
Craig Webster

This paper presents a methodology for measuring the contribution of tourism to an economy's growth, which is tested with data for Cyprus, Greece and Spain. The authors use the growth of real GDP per capita as a measure of economic growth and disaggregate it into economic growth generated by tourism and economic growth generated by other industries. The methodology is compared with other existing methodologies; namely, Tourism Satellite Account, Computable General Equilibrium models and econometric modelling of economic growth.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Vinko Miličević ◽  
Danijel Knežević ◽  
Zoran Bubaš

The problems in this paper belong to the field of migration and economy. The connection between migration and the economy has been proven on a global level, and as far as the Republic of Croatia is concerned, it is especially important to observe it through the City of Zagreb, which is the most important migration and economic center in the Republic of Croatia. Also, the accession of the Republic of Croatia to the European Union emphasized the observation and research of this connection because it created the preconditions for freer movement and employment of the population of the Republic of Croatia and the City of Zagreb within the European Union. The aim of this paper is to determine the contribution of migration to the economic growth of the City of Zagreb. The hypothesis presented in the paper is that there is a significant contribution of migration to the economic growth of the City of Zagreb. The disposition of the paper consists of six parts. The introduction explains the relevance of the topic, states the aim of the paper and hypotheses, explains the empirical part, the contribution of the paper and the disposition. The second part of the paper refers to the theoretical framework of the impact of migration on economic growth. The third part of the paper presents the migration processes of the City of Zagreb in the period from 2011 to 2018. The fourth part deals with economic activity in the City of Zagreb in the period from 2011 to 2017. The observed indicators of economic activity in the City of Zagreb are GDP and GDP per capita, and the graph in this part of the paper shows that GDP and GDP per capita in the observed period are higher at the end of the period than at the beginning. The fifth part of the paper refers to the empirical research of the contribution of migration to the economic growth of the City of Zagreb. The empirical part of the paper is based on correlations and regression analyses. This paper proves the hypothesis because the results indicate a significant impact of the variables of total and external migration on the GDP of the City of Zagreb and GDP per capita of the City of Zagreb. Decision-makers in the City of Zagreb can use the results of the research as a basis for maximizing the economic benefits they can get from migration. The conclusion provides an overview of the aim of the work, the results of the research, the limitations, the implications and the recommendations for future research.


2020 ◽  
Vol 1 (2) ◽  
pp. 24-32
Author(s):  
Anastasiia Samoilikova ◽  
Rosen Kunev

This article generalized modern tendencies and actual peculiarities of health care financing. The key aim of the research is to investigate the dynamics of health care financing as a factor of economic growth based on EU countries analysis. Systematization information sources connected with health care financing and its structure indicate that the EU countries analysis of dynamics of health care financing and its impact on economic growth was conducted fragmentary. This issue is still actual both for scholars and policymakers, especially for Ukraine, based on European trends. Investigation in the article is made according to the following stages: 1) introduction and relevance grounding; 2) literary review and identifying the necessity of research in this scientific area; 3) describing methodology, research methods, and current hypothesis; 4) characteristic of research results and confirming the hypothesis of the positive impact of the health care financing on economic growth; 5) making conclusions. Methodological tools of the research methods were structural and comparative analysis, logical generalization, and scientific abstraction. The methods of cross-country statistical and analytical analysis using the Excel 2010 software package for the sample from 14 EU countries for 2009-2018 (limited number of countries and limited data in 2018 relate to the data availability on open website of the EU statistical office) were applied to analyse the structure of health care financing, in particular financing schemes, main providers, and health care functions. The top countries in health care financing were identified. The methods of empirical analysis using the STATA software package for this data sample were used to confirm the hypothesis about the positive impact of the health care financing on economic growth – the GDP per capita. The nature of the analysed indices distribution was estimated based on results of Shapiro-Wilk test. So, Pearson or Spearman correlation coefficient was chosen. The statistical significance and strength of the relationship between the indicators of total expenditure for health care, and in particular government financing and compulsory contributory health care financing, voluntary health care financing, and household out-of-pocket payment for health care and the change of GDP per capita were assessed through a correlation analysis. The time lags of achievement the most statistical significance by this relationship was also identified. The results of the research show that the impact of health care financing on the change of economic growth is very high in 12 from 14 investigated EU countries (with lags of 1–3 years) and high in 2 from 14 countries (with a lag of 1 year). The character of this relationship for the most countries (9 from 14 countries) is direct (positive), and for 5 countries it is inverse (negative). The results of the research will be useful during future fundamental and practical research connected with health care financing and its modelling, for scholars and government officials to reform the health care system and its financial mechanism.


2021 ◽  
Vol 95 ◽  
pp. 01007
Author(s):  
Daniela – Lavinia Balasan ◽  
Dragoş Horia Buhociu

When we talk about economic development, we can refer to improve the standard of living and the prosperity of the population. This is due by increasing per capita income. In order to analyze economic activity, severe indicators must be studied, namely productivity, economic growth rate, labour force share, gross domestic product. In order to carry out as accurate an analysis as possible, it is required to discover the bottlenecks and problems that Region 2 South East makes and to develop a set of reservations and indications leading to the reduction and, why not, the removal of negative aspects. The main purpose of this work is to achieve a strategic plan by studying the current state and the impact of the economic system in recent times in all its forms, with a view to the development of the countryside of Region 2 South – East. I set out to create a website based on the advice of small rural entrepreneurs that evolves gathering information in realistically identifying all the strengths and concentrating them in the region’s potential innovation.


2018 ◽  
Vol 54 (1) ◽  
pp. 1-15 ◽  
Author(s):  
L. G. Burange ◽  
Rucha R. Ranadive ◽  
Neha N. Karnik

The article analyses a causal relationship between trade openness and economic growth for the member countries of BRICS by using an econometric technique of time series analysis. Member countries of BRICS adopted a series of liberalization reforms, almost simultaneously, from the late 1980s. The article attempts to study the impact of trade openness on their growth in GDP per capita. It captures structural composition of GDP and openness of trade in four aspects, that is, merchandise exports, merchandise imports, services export and services import. In India, the study found growth-led trade in services hypothesis. The article supports the growth-led export and growth-led import hypothesis for China and export- and import-led growth for South Africa. However, no causal relationship was evident for Brazil and Russia. JEL Codes: F43, C22


Author(s):  
David I. Stern

The environmental Kuznets curve (EKC) is a hypothesized relationship between environmental degradation and GDP per capita. In the early stages of economic growth, pollution emissions and other human impacts on the environment increase, but beyond some level of GDP per capita (which varies for different indicators), the trend reverses, so that at high income levels, economic growth leads to environmental improvement. This implies that environmental impacts or emissions per capita are an inverted U-shaped function of GDP per capita. The EKC has been the dominant approach among economists to modeling ambient pollution concentrations and aggregate emissions since Grossman and Krueger introduced it in 1991 and is even found in introductory economics textbooks. Despite this, the EKC was criticized almost from the start on statistical and policy grounds, and debate continues. While concentrations and also emissions of some local pollutants, such as sulfur dioxide, have clearly declined in developed countries in recent decades, evidence for other pollutants, such as carbon dioxide, is much weaker. Initially, many understood the EKC to imply that environmental problems might be due to a lack of sufficient economic development, rather than the reverse, as was conventionally thought. This alarmed others because a simplistic policy prescription based on this idea, while perhaps addressing some issues like deforestation or local air pollution, could exacerbate environmental problems like climate change. Additionally, many of the econometric studies that supported the EKC were found to be statistically fragile. Some more recent research integrates the EKC with alternative approaches and finds that the relation between environmental impacts and development is subtler than the simple picture painted by the EKC. This research shows that usually, growth in the scale of the economy increases environmental impacts, all else held constant. However, the impact of growth might decline as countries get richer, and richer countries are likely to make more rapid progress in reducing environmental impacts. Finally, there is often convergence among countries, so that countries that have relatively high levels of impacts reduce them more quickly or increase them more slowly, all else held constant.


Author(s):  
Chien-Yuan Sher ◽  
Ho Ting Wong ◽  
Yu-Chun Lin

Dengue has long been a public health problem in tropical and subtropical countries. In 2015, a dengue outbreak occurred in Taiwan, where 43,784 cases were reported. This study aims to assess the impact of dengue on Southern Taiwan’s economic growth according to the economic growth model-based regression approach recommended by the World Health Organization (WHO). Herein, annual data from Southern Taiwan on the number of dengue cases, income growth, and demographics from 2010–2015 were analyzed. The percentage of reduction of the average income per capita in 2015 due to the dengue outbreak was estimated. Dengue was determined to have a negative linear economic impact on Southern Taiwan’s economic growth. In particular, a reduction of 0.26% in the average income per capita was estimated in Southern Taiwan due to the 2015 outbreak. If the model is applied alongside other dengue outbreak forecast models, then the forecast for economic reduction due to a future dengue outbreak may also be estimated. Prevention and recovery policies may subsequently be decided upon based on not only the number of dengue cases but also the degree of economic burden resulting from an outbreak.


2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti

The economy that continues to grow has the impact of environmental damage. This study aims to prove empirically the Environmental Kuznets Curve (EKC) hypothesis by analyzing the relationship of economic growth with environmental damage as measured by GDP per capita, and CO2 emissions. The data used are secondary data in the form of data on GDP per capita, CO2 emissions, population growth, inflation, and control of corruption in 10 countries in the ASEAN region in 2002-2016. Data analysis using the Fixed Effect model. The results show that there is a relationship between economic growth and environmental damage that forms an inverted U curve. Economic growth will initially have a positive effect on environmental damage so that at a point of economic growth negatively affects environmental damage. By adding control variables: population growth, inflation and corruption, inflation and corruption positively impact environmental damage, while population negatively affect environmental damage.


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