scholarly journals Influence of Logistics Competitiveness and Logistics Cost on Economic Development: An FsQCA Qualitative Approach

2021 ◽  
Vol 24 (2) ◽  
pp. 51-64
Author(s):  
Mohan Saini ◽  
Denisa Hrušecká
Keyword(s):  
Economic Development ◽  
Czech Republic ◽  
Qualitative Comparative Analysis ◽  
Gdp Per Capita ◽  
The World ◽  
The Usa ◽  
Per Capita ◽  
Logistics Performance Index ◽  
The Uk ◽  
The Impact

Logistics is an important sector that determines a country’s economic strategy while attaining higher impetus in terms of globalization and competitiveness. Infrastructure along with trade friendly government policies are the key important parameters for a competitive logistics sector. One such method to evaluate competency is the logistics performance index (LPI) by the World Bank. This index evaluates the logistics performance of the economies of the world and rank them on the basis of six parameters (customs, infrastructure, timeliness, tracking & tracing, logistics competence and international shipments). This research study illustrates the impact of logistics costs (LC) and logistics competency parameters (LPI) on the economic development. The fuzzy set qualitative comparative analysis (fsQCA) methodology is applied to identify the causal configuration relations for higher values of economic development (GDP per capita). Eight major economies across Asia (China, India, Japan, Singapore), Europe (Germany, France), the UK and the USA have been studied for the analysis. The Czech Republic and Slovenia are also included to the list of countries to have a perspective of mid-sized economies. These mid-size economies are landlocked countries (Czech Republic) and a smaller port sector (Slovenia) for logistics. The results indicate two configurations of LPI and LC that lead to higher values of GDP per capita. The major contribution to the existing literature is in identifying the influence of LPI index parameters along with LC on the economic development. The associated results illustrate that logistics competence, infrastructure and tracking & tracing of LPI index are identified as the core parameters, resulting in the higher values of GDP per capita. The results offer various insights into future area of research for evaluating new parameters such a LC to be inducted in LPI for evaluating logistics performance.

scholarly journals Ectopic pregnancy: exploration of its global research architecture using density-equalising mapping and socioeconomic benchmarks

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e018394 ◽  
Author(s):  
Dörthe Brüggmann ◽  
Jana Kollascheck ◽  
David Quarcoo ◽  
Michael H Bendels ◽  
Doris Klingelhöfer ◽  
...  
Keyword(s):  
Ectopic Pregnancy ◽  
Gdp Per Capita ◽  
Related Research ◽  
Depth Analysis ◽  
The Usa ◽  
Per Capita ◽  
The Uk ◽  
Research Architecture ◽  
Country Specific ◽  
Global Research

ObjectiveAbout 2% of all pregnancies are complicated by the implantation of the zygote outside the uterine cavity and termed ectopic pregnancy. Whereas a multitude of guidelines exists and related research is constantly growing, no thorough assessment of the global research architecture has been performed yet. Hence, we aim to assess the associated scientific activities in relation to geographical and chronological developments, existing research networks and socioeconomic parameters.DesignRetrospective, descriptive study.SettingOn the basis of the NewQIS platform, scientometric methods were combined with novel visualising techniques such as density-equalising mapping to assess the scientific output on ectopic pregnancy. Using the Web of Science, we identified all related entries from 1900 to 2012.Results8040 publications were analysed. The USA and the UK were dominating the field in regard to overall research activity (2612 and 723 publications), overall citation numbers and country-specific H-Indices (US: 80, UK: 42). Comparison to economic power of the most productive countries demonstrated that Israel invested more resources in ectopic pregnancy-related research than other nations (853.41 ectopic pregnancy-specific publications per 1000 billlion US$ gross domestic product (GDP)), followed by the UK (269.97). Relation to the GDP per capita index revealed 49.3 ectopic pregnancy-specific publications per US$1000 GDP per capita for the USA in contrast to 17.31 for the UK. Semiqualitative indices such as country-specific citation rates ranked Switzerland first (24.7 citations per ectopic pregnancy-specific publication), followed by the Scandinavian countries Finland and Sweden. Low-income countries did not exhibit significant research activities.ConclusionsThis is the first in-depth analysis of global ectopic pregnancy research since 1900. It offers unique insights into the global scientific landscape. Besides the USA and the UK, Scandinavian countries and Switzerland can also be regarded as leading nations with regard to their relative socioeconomic input.

scholarly journals THE IMPACT OF LABOUR MARKET ON MIGRATION PROCESS IN THE CENTRAL AND EASTERN EUROPE

2021 ◽  
Author(s):  
Юлія Цевух ◽  
Вікторія Бобришева ◽  
Аліса Крупиця
Keyword(s):  
Czech Republic ◽  
Labor Market ◽  
Central And Eastern Europe ◽  
Slovak Republic ◽  
Gdp Per Capita ◽  
Vacancy Rate ◽  
Market Outcomes ◽  
Job Vacancy ◽  
Per Capita ◽  
The Impact

The article presents the results of the study of the main trends of the labor market in Central and Eastern Europe during 2010-2021; it also investigates selected labour market outcomes affecting migration processes in Bulgaria, Czech Republic, Estonia, Latvia, Lithuania, Romania, Poland, Slovak Republic, Slovenia, and Hungary. Using econometric modeling, the impact of GDP per capita, annual net earnings per employee, job vacancy rate, unemployment rate on the number of emigrants from these CEE countries was estimated. It is followed by the analysis which controls for dependence of the number of immigrants to CEE countries on labor market outcomes and GDP per capita. The simulation results demonstrate a direct impact of the indicators of net earnings per worker, the level of unemployment and quantity of emigrants from CEE countries. At the same time, there is a direct relationship between job vacancy rate, net earnings and immigration into Bulgaria, Czech Republic, Estonia, Latvia, Lithuania, Romania, Poland, Slovak Republic, Slovenia, and Hungary.

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 China’s Provincial Vehicle Ownership Forecast and Analysis of the Causes Influencing the Trend

2019 ◽  
Vol 11 (14) ◽  
pp. 3928 ◽  
Author(s):  
Lin Ma ◽  
Manhua Wu ◽  
Xiujuan Tian ◽  
Guanheng Zheng ◽  
Qinchuan Du ◽  
...  
Keyword(s):  
Growth Rate ◽  
Economic Development ◽  
Gompertz Model ◽  
Sustainable Transportation ◽  
Gdp Per Capita ◽  
Employment Rate ◽  
Vehicle Ownership ◽  
Per Capita ◽  
Transport Problems ◽  
The Impact

The growth of vehicle ownership not only brings opportunity for the economy, but also brings environment and transport problems, which is not good for sustainable transportation. It is of great significance to build supporting infrastructure and other services based on accurate forecasts of vehicle ownership in various provinces because of the variance of economic development stages, the carrying capacity of resources, and different degrees of transport planning in each province. We used the Gompertz model in order to predict China’s provincial vehicle ownership from 2018 to 2050. Considering the impact of the population structure, we summed up the growth rate of GDP per labor, the growth rate of population and the growth rate of employment rate to get the growth rate of GDP and then the GDP per capita of each province. We found that the vehicle ownership in each province will grow rapidly in the next 30 years; however, the change in the ranking of vehicle ownership among provinces varies. The ranking of some provinces with high or middle ranking now will decline in the following years, especially Beijing, Tianjin, Shanghai and Xinjiang. While the ranking of some provinces that locates in the middle and low ranking now will increase, such as Chongqing, Hubei, Anhui, Sichuan, Heilongjiang, Jiangxi, Hunan and Guangxi. We also investigate the reasons that affect the trend in each province and we find that the suitable vehicle growth pattern of each province, the stage of economic development and government policy, which are related to the growth rate of GDP per labor, employment rate, and GDP per capita, can affect vehicle ownership in the future.

The long run impact of immigration on labor market in an advanced economy

2015 ◽  
Vol 42 (4) ◽  
pp. 356-367
Author(s):  
Faridul Islam ◽  
Saleheen Khan
Keyword(s):  
Labor Market ◽  
Gdp Per Capita ◽  
Advanced Economy ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
The Usa ◽  
Short Run ◽  
Per Capita ◽  
The Impact

Purpose – The purpose of this paper is to examine the dynamic relationship among immigration rate, GDP per capita, and and real wage rates in the USA. Design/methodology/approach – The paper implements the Johansen-Juselius (1990, 1992) cointegration technique to test for a long-run relationship; and for short-run dynamics the authors apply Granger causality tests under the vector error-correction model. Findings – The results show that the long-run causality runs from GDP per capita to immigration, not vice versa. Growing economy attracts immigrants. The authors also find that immigration flow depresses average weekly earnings of the natives in the long-run. Originality/value – The authors are not aware of any study on the USA addressing the impact of immigrants on labor market using a tripartite approach by explicitly incorporating economic growth. It is therefore important to pursue a theoretically justified empirical model in search of a relation to resolve on apparent immigration debate.

scholarly journals The influence of demographic factors on the economic development of the Azerbaijan: the interconnection problem

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Saleh Nagiyev
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Development ◽  
18Th Century ◽  
Demographic Factors ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
World Population ◽  
Per Capita ◽  
The Impact

Demographic factors have sometimes occupied center-stage in the discussion of the sources of economic growth. In the 18th century, Thomas Malthus made the pessimistic forecast that GDP growth per capita would fall due to a continued rapid increase in world population. There is a straightforward accounting relationship when identifying the sources of economic growth: Growth Rate of GDP = Growth Rate of Population + Growth Rate of GDP per capita, where GDP per capita is simply GDP divided by population. This article examines the interconnection between economic development and the demographic policy of Azerbaijan. The article analyzes various approaches of the impact of demographic factors on the economic development of a country. The following demographic factors have been identified and described as significant for the economic development: fertility dynamics, mortality dynamics, population size and gender and age structure.

scholarly journals INSTITUTIONAL FACTORS OF ECONOMIC PERFORMANCE: EVIDENCE FROM THE WORLD VALUE SURVEY

2021 ◽  
Vol 7 (2) ◽  
pp. 146-160
Author(s):  
Andriy Maksymuk ◽  
Nataliya Kuzenko
Keyword(s):  
Regression Analysis ◽  
Oecd Countries ◽  
High Income ◽  
Institutional Factors ◽  
Gdp Per Capita ◽  
Strong Positive Correlation ◽  
Middle Income ◽  
The World ◽  
Per Capita ◽  
The Impact

This article highlights the impact of values on the country’s welfare. Values that are quite constant over a long period of time form an institutional framework within the country. They can contribute to economic development or even prevent it. The aim of the article is to explore, what is the influence of social values, democracy and trade on welfare levels in different counties. The hypothesis is that the dominance in society of secular-rational values and the values of self-expression, democracy and trade (openness to the world) have a positive effect on the level of welfare of countries. The empirical part of the paper is based on the comparative analysis of relationship between GDP per capita and four values such as tolerance and respect, obedience, trust and freedom of choice for two waves of WVS – 2005-2009 and 2010-2014. Using correlation and regression analysis, the relationships between these indicators were evaluated. These values have a positive impact on welfare in OECD countries, some countries of Latin America, Asia and Africa with middle income per capita. However, there is a negative relationship between obedience and GDP per capita. This value is more important for some African and Asian countries and India. The relationship between GDP per capita and the aggregate value index showed a strong positive correlation for OECD countries. Then the regression model was estimated to assess the impact of values, trade and level of democracy on welfare growth and development. The results of the regression analysis showed a significant effect of the aggregated value indicator for all six samples, but this effect is weaker for high-income countries. The effect of the level of democracy is significant and positive only for the sub-sample of democratic countries, while it is negative for high-income countries. The effect of the level of trade on GDP per capita is statistically significant for the sample of all countries, the sub-sample of non-democratic countries and the sub-sample of high income and upper-middle income countries. Thus, we conclude that the institutional factors (the values and the level of democracy) are important determinants of GDP per capita for democratic countries while for non-democratic countries trade is more important.

scholarly journals THE IMPACT OF THE INSTITUTIONAL ENVIRONMENT ON THE ECONOMIC DEVELOPMENT

Ekonomika ◽  
2009 ◽  
Vol 87 ◽  
pp. 141-153 ◽  
Author(s):  
Vidmantas Jankauskas ◽  
Janina Šeputienė
Keyword(s):  
Economic Development ◽  
Institutional Environment ◽  
Gdp Per Capita ◽  
Development Institutions ◽  
Per Capita ◽  
Relationship Of ◽  
Openness To Trade ◽  
The Impact ◽  
The Relationship

Economic literature recognizes three “deep determinants” of economic development: institutions, geography and openness to trade. Discussion in the literature focuses on what part of the income per capita variation can be explained by institutions, geography and openness to trade. The empirical results can’t offer a clear answer, but there is a broader agreement in the literature that institutions play a more important role than geography and openness to trade. What is unclear whether the institutions also can explain variation in per capita income across countries, in which institutional environment is to some degree similar..This article aims to explore and quantify the relationship of the income level with institutional environment, geography and openness to trade across countries, grouped according their institutional environment quality.The results reveal that extent to which the variation in GDP per capita can be associated with the quality of institutional environment differs a lot between good and bad institutional environment samples. The results in good institutional environment sample come in line with series of studies in which the strong and positive link between various measures of institutions and economic development was established and support primacy of institutions over openness to trade and geography. I In bad institutional environment sample, on the contrary,no evidence was found that institutions mean a lot in respect of differences in GDP per capita. These results should not be interpreted so as to mean that institutional environment is not important, rather the degree of “badness” makes no difference.

scholarly journals Measuring the Technical Efficiency of Oceania Continent Airports: Does Workload Unit Matters?

2019 ◽  
pp. 1120-1124
Author(s):  
VikniswariVija Kumaran ◽  
Yew Yao Xi ◽  
Fan Sui Feng ◽  
Ho Xiao Jin ◽  
MakKah Weng ◽  
...  
Keyword(s):  
Economic Development ◽  
Data Analysis ◽  
Technical Efficiency ◽  
Panel Data Analysis ◽  
Gdp Per Capita ◽  
Analysis Methodology ◽  
The World ◽  
Passenger Volume ◽  
Per Capita ◽  
Stage Analysis

Recently, there has been a rise in interest on measuring the efficiency and performances of international airports around the world by researchers. As there are more airlines in the industry competing with one another, airports as well started to compete with each other in order to become hub airports which provoke them to increase their efficiency. The principal objective of this research is to investigate and measure the efficiency of airports from the view of panel data analysis. We have applies a two-stage analysis methodology to determine the factors that could possibly sway the technical efficiency level by using ten different airports from year 2007 to 2016 in the Oceania continent countries. Model 2 shows that GDP per capita and Airport Hub significantly interact with Workload Unit (HUBXWLU) and towards the technical efficiency. In a nutshell, airport efficiency is important to many aspects of the society especially businesses that depends on better connectivity, airport operators that depends on passenger volume and governments that depends on economic development all of which are tools to building a more prosperous nation.

scholarly journals Competitiveness of Superpowers: Impact of Education and Innovations

2017 ◽  
Vol 2 (4) ◽  
pp. 13-19
Author(s):  
Antanas Buracas
Keyword(s):  
Gdp Per Capita ◽  
Expert Assessment ◽  
Global Competitiveness ◽  
China And India ◽  
National Economic ◽  
The Usa ◽  
Per Capita ◽  
The One ◽  
The Impact

The impact of knowledge determinants on global competitiveness based on multiple criteria assessment methodology and their empirical expert assessment was evaluated taking the comparative expert data of the U.S., Japan, China, and India for a case study. The complex evaluations were determined with an account of the education, knowledge and innovation parameters published in the international reports of the WEF, INSEAD a/o experts. As result of author evaluations was found that differences between the USA and Japan, on the one side, China and India, on other, by GTCI and GII levels are lower than their differences in GDP per capita (PPP). The correlation between GTCI scores and GDP per capita, also between national economic competitiveness and GTC indices is weaker than expected by an approach based on GTCI model. The deep difference in labor productivity per employee was determined by the technical retardation of India and China compared with USA and Japan. At the same time, the differences of superpowers in educating the employable skills are not so significant.

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