scholarly journals The Effects of Highly-Educated Immigrants on Innovation in Three Developed European Countries

2020 ◽  
Vol 9 (1) ◽  
pp. 65-83
Author(s):  
Elena-Alexandra Sinoi
Keyword(s):  
Least Squares Method ◽  
Multiple Linear Regression Model ◽  
Ordinary Least Squares ◽  
Highly Educated ◽  
Country Level ◽  
Innovation Activities ◽  
The People ◽  
Key Factor ◽  
Good Proxy ◽  
Globalized World

AbstractIn the current globalized world, migration represents a topic of great interest, generating advantages and downsides as well, both for the people and the communities implicated. Highly-educated migrants represent a key factor in fostering innovation, productivity and economic growth, and promote knowledge diffusion/distribution in both directions, from origin to destination country and vice versa. This research investigates the effects of highly-educated immigrants on the number of patents (a good proxy for measuring innovation activities), in the case of Austria, Finland and Sweden, between 2011 and 2017. For the empirical analysis of the study case, we used panel data and developed a multiple linear regression model estimated through the ordinary least squares method (OLS), at the country-level. In line with the vast existing literature, the main finding of this paper is that highly-educated immigrants, representing external factors of innovation, have a positive and significant impact on the number of patent applications in all three receiving countries. Moreover, financial support in R&D (in different sectors) and investments in human capital (from diverse fields) serve as internal factors of innovation and also contribute vastly to the enhancement of innovation.

scholarly journals The impact of educated migrants and R&D expenditures on innovation

2021 ◽  
Vol 16 (1) ◽  
pp. 13-25
Author(s):  
Elena-Alexandra Sinoi
Keyword(s):  
Fixed Effects ◽  
Time Frame ◽  
Innovative Activity ◽  
Impact Factors ◽  
Linear Regression Models ◽  
Highly Educated ◽  
Country Level ◽  
The People ◽  
Key Factor ◽  
The Impact

Abstract Migration has become a topic of great interest of the 21st century, as it triggers multiple advantages and downsides, both for the people and communities implicated, depending on the policies in place. International migration should not be perceived as an issue that needs to be solved, but rather a global phenomenon that can reduce poverty and foster inclusive growth and sustainable development, both in origin and destination countries. The most highly-skilled immigrants represent a key factor in enhancing innovation and technological change processes, which are essential aspects of social and economic development. The purpose of the study is to analyse the impact of highly educated immigrants (with tertiary-educated immigrant employees and foreign PhD students) together with R&D investments on innovative activity (proxied by the number of patents applications), in the case of the ten countries which joined the EU in 2004. The evaluated time frame is from 2011 to 2017. For the econometric analysis of the panel data, we developed fixed-effects linear regression models, at the country-level. The indicators computed are relevant to the innovative activity. The econometric estimations highlight a positive correlation between educated migrants and the number of patent applications in all ten countries. This nexus is even strengthened when we take into consideration other relevant impact factors, such as investments in R&D and human capital. Therefore, the more efforts and investments are devoted to R&D and highly educated individuals, the more predictable the innovation is.

scholarly journals Influence of Fiscal Policies and Labor Market Characteristics on Sustainable Social Insurance Budgets—Empirical Evidence from Central and Eastern European Countries

2021 ◽  
Vol 13 (11) ◽  
pp. 6197
Author(s):  
Adriana Florina Popa ◽  
Stefania Amalia Jimon ◽  
Delia David ◽  
Daniela Nicoleta Sahlian
Keyword(s):  
Labor Market ◽  
Social Insurance ◽  
Social Protection ◽  
Least Squares Method ◽  
Panel Study ◽  
Ordinary Least Squares ◽  
Political Agenda ◽  
Fiscal Policies ◽  
Protection Systems ◽  
Social Protection Systems

Social protection systems are a key factor for ensuring the long-term sustainability and stability of economies in the European Union, their reform being nowadays present in the political agenda of member states. Aging and the dependence on mandatory levies applied to the employed population on the labor market represent a threat for the sustainability of public social protection systems. In terms of sustainability, our purpose was to highlight the factors influencing social insurance budgets, considering the fiscal policies implemented in six countries of Central and Eastern Europe and their particular labor market characteristics. Therefore, a panel study based on a regression model using the Ordinary Least Squares method (OLS) with cross section random effects was used to determine the correlations between funding sources and labor market specific indicators. The data analyzed led to relevant results that emphasize the dependence of social insurance budgets on positive factors such as the average level of salaries, the share of compulsory social contributions, the unemployment rate, and the human development index, suggesting the continuing need for professional and personal development of the workforce.

DETERMINANTS OF NON-REVENUE WATER

2021 ◽  
Vol 6 (1) ◽  
pp. 642
Author(s):  
Haslinda Ab Malek ◽  
Mohamad Hafizi Zakaria ◽  
Muhammad Luqman Zulkifli ◽  
Nur Farahin Roslan
Keyword(s):  
Water Distribution ◽  
Water System ◽  
Multiple Linear Regression Model ◽  
Water Shortage ◽  
Water Losses ◽  
Efficient Management ◽  
The People ◽  
Water Plant ◽  
Production Quantity ◽  
Non Revenue Water

Water is one of the most essential needs in human daily life. Water losses or Non-Revenue Water (NRW) refers to the treated water that has been produced from water plant which did not reach to the customer. This waste of water has caused the company to suffer losses and hence, burdens the people with increasing water tariff. Moreover, it becomes one of the challenges for commercial water system management because the water company must fulfil the demand from the society which keep increasing day by day. In addition, the demand for water is increasing, as the population is growing. Despite having the rainfall throughout the year in Malaysia, many cities are experiencing water shortage and frequent water supply disruptions. Therefore, efficient management of water distribution is required to minimise the water losses and to make sure the sustainability of water reserve for a long period. This study focuses on identifying the significant factors that influence the Non-Revenue Water and modelling the data using Multiple Linear Regression Model. The sample size used in this study were 212 observations and the variables involved were Length of Connection, Number of Connection, Production Quantity, Consumption Quantity and Non-Revenue Water. It is found that the variables of Number of Connection, Consumption Quantity and Production Quantity were significant to Non-Revenue Water whereas the variable of Length of Connection was not significant. It is hoped that the result from this study can be used by the water authority company in improving the water distribution and thus reduce water losses and cost.

She-E-Os and innovation: do female CEOs influence firm innovation?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hafiz Mustansar Javaid ◽  
Qurat Ul Ain ◽  
Antonio Renzi
Keyword(s):  
Financial Constraints ◽  
Ordinary Least Squares ◽  
State Ownership ◽  
Corporate Environment ◽  
Firm Innovation ◽  
Content Type ◽  
Innovation Activities ◽  
Female Ceos ◽  
Innovation Output ◽  
The Impact

PurposeThis paper empirically investigates whether female CEOs (She-E-Os) have an effect on firm innovation among Chinese listed firms based on patent data. This study also delved further by looking at whether the internal corporate environment moderates the effect of female CEOs on innovation, that is, state ownership. Finally, this study investigates an additional test of financial constraints to examine whether financial constraints also moderate the impact of female CEOs on firm innovation.Design/methodology/approachThis study used the data of all A-share listed companies on the Shanghai and Shenzhen stock exchanges for the period from 2008 to 2017. The authors use ordinary least squares regression as a baseline methodology, along with firm-fixed effect, lagged measure of female CEOs, alternative measures of innovation, Heckman two-step model and negative binomial regression to check and control the possible issue of endogeneity.FindingsThe authors’ findings show that CEO gender plays an important role in producing higher levels of innovation output by improving the governance structure. However, female CEOs have no effect on state-owned enterprises' (SOEs) innovation activities, which suggests that the main goal of SOEs is achieving sociopolitical objectives. Furthermore, female CEOs' influence on innovation output is weaker in firms with financial constraints.Social implicationsThis study adds to the emerging global discussion on gender diversity. Many legislative bodies require a quota for women on corporate boards due to gender inequality. This study's findings reinforce such guidelines by emphasizing the economic benefits of including women in top management positions.Originality/valueThis study provides new insights by highlighting the role of female CEOs in increasing firms' innovation activities. Additionally, this study provides evidence on whether the internal corporate environment (state ownership and financial constraints) moderates female CEOs' effect on innovation.

scholarly journals Socio-economic situation in Vienna during the First World War 1916–1918.

2021 ◽  
Vol 13 (2) ◽  
pp. 175-182
Author(s):  
Rashid A. Nadirov ◽  
Keyword(s):  
Economic Status ◽  
First World War ◽  
Political Regime ◽  
Food Crisis ◽  
World War ◽  
The People ◽  
The First World War ◽  
Key Factor ◽  
The Government ◽  
First World

This article addresses the problem of socio-economic status of the Austro-Hungarian capital Vienna in the second period of the First World War - 1916-1918. Much attention is paid to the consequences of the war: the food crisis, the deficit, the rise in prices for basic necessities, speculation, protests, etc. It shows the transformation of the mood of the Viennese society in the conditions of the growing economic crisis. The food issue directly affected the quality of life of the residents of the capital, who were in difficult wartime conditions, and largely influenced their attitude to the current government. In this study, the task was to analyze the relationship between the government and the people and to find out why the people of Vienna, who had initially been patriotic and united around the monarchy, had joined the opposition by 1916. The author concludes that the food crisis, against the backdrop of the inaction of the government, which has used only the practice of prohibitions and restrictions on the civilian population, has become a key factor in exacerbating protests and leading to the overthrow of the political regime and the collapse of the monarchy.

scholarly journals Least Squares Estimations for the General Linear Model Parameters with Epsilon Skew Normal Error Term

2020 ◽  
pp. 636-645
Author(s):  
Hussain Karim Nashoor ◽  
Ebtisam Karim Abdulah
Keyword(s):  
Least Squares ◽  
Linear Model ◽  
Least Squares Method ◽  
General Linear Model ◽  
Ordinary Least Squares ◽  
Skewed Distribution ◽  
General Linear ◽  
Average Error ◽  
Model Parameters ◽  
Skew Normal

Examination of skewness makes academics more aware of the importance of accurate statistical analysis. Undoubtedly, most phenomena contain a certain percentage of skewness which resulted to the appearance of what is -called "asymmetry" and, consequently, the importance of the skew normal family . The epsilon skew normal distribution ESN (μ, σ, ε) is one of the probability distributions which provide a more flexible model because the skewness parameter provides the possibility to fluctuate from normal to skewed distribution. Theoretically, the estimation of linear regression model parameters, with an average error value that is not zero, is considered a major challenge due to having difficulties, as no explicit formula to calculate these estimates can be obtained. Practically, values for these estimates can be obtained only by referring to numerical methods. This research paper is dedicated to estimate parameters of the Epsilon Skew Normal General Linear Model (ESNGLM) using an adaptive least squares method, as along with the employment of the ordinary least squares method for estimating parameters of the General Linear Model (GLM). In addition, the coefficient of determination was used as a criterion to compare the models’ preference. These methods were applied to real data represented by dollar exchange rates. The Matlab software was applied in this work and the results showed that the ESNGLM represents a satisfactory model. 

scholarly journals CREATIVE ECONOMY IN ECONOMIC DEVELOPMENT OF CROATIA

2019 ◽  
Vol 40 ◽  
pp. 21-37
Keyword(s):  
Global Economy ◽  
New Technologies ◽  
Tertiary Education ◽  
Creative Industries ◽  
Creative Economy ◽  
Creative Industry ◽  
Highly Educated ◽  
Eu Member States ◽  
The People ◽  
The Republic

Creative economy is one of the most propulsive sectors, which share in global economy as well as national ones continuously grows (Jones et al., 2016). Within the territory of 28 EU member states it participates with 4.5% of GDP and employs 3.8% of total workforce (https://ec.europa.eu/eurostat, 2017). Axis of creative economy development is made of cultural and creative industries that are generators of new technologies, innovation and media. This paper analyses cultural and creative industry in the Republic of Croatia, as well as their role in economic and social development of the country. Cultural and creative industry (CCI) are directed towards highly educated workforce of tertiary education, digital society and 4.0 Globalisation. People employed in CCI in the Republic of Croatia are at the EU average with 3.6% of total workforce (2017) and with 50% of employed with tertiary education (https://ec.europa.eu/eurostat, 2017). CCI are important in expressing identity of the people but they are also an engine of economic growth (HKKI, 2015).

scholarly journals Impact of the Ownership Structure on the Financial Performance of Banks: Comparative Study between Conventional and Islamic Banks

2019 ◽  
Vol 4 (2) ◽  
pp. 50-63
Author(s):  
Achraf Haddad ◽  
Anis El Ammari ◽  
Abdelfattah Bouri
Keyword(s):  
Financial Performance ◽  
Ownership Structure ◽  
Least Squares Method ◽  
Conflicts Of Interest ◽  
Positive Impact ◽  
Ordinary Least Squares ◽  
Performance Measure ◽  
Islamic Banks ◽  
Two Samples ◽  
The Impact

According to the literature of corporate governance, ownership structure is advanced as a non-dissociable mechanism of control intended to follow the stakeholders and especially used by shareholders to monitor the conflicts of interest and the opportunistic behavior of managers. Several previous studies have focused on the impact of ownership structure on financial performance separately in conventional or in Islamic banks. However, the comparative studies between these two impacts are non-existent. In this research, we compared the impacts of this governance mechanism on the financial performance in the two types of banks by using the Ordinary Least Squares method. Data relating to financial performance and ownership structure of banks come from 16 countries. Two samples were collected: the first one included 63 conventional banks, whereas the second one integrated 63 Islamic banks whose data are available over the period (2010-2018). Panel results showed that partial effect of each determinant of ownership structure on each measure of financial performance varied from one banks’ type to another and from one performance measure to another. Besides, the reconciliation of similar models revealed many differences between the same impacts’ signs. Therefore, we concluded that in both banks’ types the ownership structure has a positive impact on the financial performance. While, the negative part of the same impact is less significant in Islamic banks. JEL Classification:  F33, G20, G21, G24, G30.

scholarly journals Despesas públicas e o nível de desenvolvimento humano dos estados brasileiros: uma análise do IDHM 2000 e 2010

2018 ◽  
Vol 17 (1) ◽  
pp. 29-54
Author(s):  
Taíse Fatima Mattei ◽  
Fernanda Mendes Bezerra ◽  
Gilmar Ribeiro de Mello
Keyword(s):  
Human Development ◽  
Public Expenditure ◽  
Least Squares Method ◽  
Positive Impact ◽  
Ordinary Least Squares ◽  
Public Expenditures ◽  
Positive Contribution ◽  
Development Level ◽  
Per Capita ◽  
Ordinary Least Squares Method

Resumo: Uma das formas de um governo atuar na economia é na alocação dos gastos públicos. Os gastos públicos têm o objetivo de contribuir para o fornecimento de serviços públicos para a população, e também para a geração de investimentos na economia. Muitas vezes, questiona-se se esses gastos podem, de fato, contribuir para a melhoraria da vida das pessoas. Dessa forma, entender se as despesas públicas têm relação com o nível de desenvolvimento humano é importante para a tomada de decisão dos governantes e para melhorar a gestão dos gastos públicos, principalmente para direcionar em quais áreas devem ser gastos os recursos. Diante disso, o objetivo com este artigo foi verificar qual a contribuição das despesas públicas per capita por funções para o nível de desenvolvimento humano dos estados brasileiros. O método adotado é a regressão múltipla estimada pelo método de mínimos quadrados ordinários utilizando dados em painel. Os dados são provenientes do IBGE, PNUD e IPEA DATA. Os resultados sugerem que algumas despesas possuem contribuição positiva para o desenvolvimento dos estados. Analisando o modelo com todas as despesas na mesma regressão, saúde e educação apresentaram relação positiva para aumentar o IDHM. Analisando os modelos em regressões isoladas, as despesas com assistência e previdência, educação, saúde e segurança e transporte confirmaram impacto positivo sobre o nível de desenvolvimento dos estados. Destaca-se a importância das despesas com saúde e educação, as quais se apresentaram influenciáveis no desenvolvimento nas duas abordagens realizadas.Palavras-chave: Despesas Públicas. Índice de Desenvolvimento Humano. Estados brasileiros. Public expenditure and human development level of Brazilian states: an analysis of IDHM 2000 and 2010 Abstract: One of the ways for a government to act in the economy is in the allocation of public expenditures. Public expenditures aim to contribute to the provision of public services to the population, as well as to the generation of investments in the economy. It is often questioned whether such expenditures can actually contribute to the improvement of people's lives. Thus, understanding whether public expenditures arerelated to the level of human development is important for government decision-making, and to improve the management of public expenditures, mainly to target the areas in which resources should be spent. Therefore, the objective of this article is to verify the contribution of public expenditure per capita by functions to the level of human development of the Brazilian states. The method adopted is the multiple regression estimated by the ordinary least squares method using panel data. The data comes from IBGE, UNDP and IPEA DATA. The results suggest that some expenses have a positive contribution to the development of the states. Analyzing the model with all expenses in the same regression, health and education presented positive relation to increase the HDI. Analyzing the models in isolated regressions, assistance and pension, education, health, safety and transportation expenses confirmed a positive impact on the level of development of the states. It is important to highlight the importance of health and education expenditures, which were influential in the development of the two approaches.Keywords: Public Expenditure. Human Development Index. Brazilian states.

scholarly journals GM(1,1;λ) with Constrained Linear Least Squares

Axioms ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 278
Author(s):  
Ming-Feng Yeh ◽  
Ming-Hung Chang
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Model Fitting ◽  
Ordinary Least Squares ◽  
Linear Least Squares ◽  
Unknown Parameters ◽  
Constrained Problems ◽  
Linear Least Squares Problems ◽  
Ordinary Least Squares Method ◽  
Better Than

The only parameters of the original GM(1,1) that are generally estimated by the ordinary least squares method are the development coefficient a and the grey input b. However, the weight of the background value, denoted as λ, cannot be obtained simultaneously by such a method. This study, therefore, proposes two simple transformation formulations such that the unknown parameters, and can be simultaneously estimated by the least squares method. Therefore, such a grey model is termed the GM(1,1;λ). On the other hand, because the permission zone of the development coefficient is bounded, the parameter estimation of the GM(1,1) could be regarded as a bound-constrained least squares problem. Since constrained linear least squares problems generally can be solved by an iterative approach, this study applies the Matlab function lsqlin to solve such constrained problems. Numerical results show that the proposed GM(1,1;λ) performs better than the GM(1,1) in terms of its model fitting accuracy and its forecasting precision.

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