scholarly journals A Data-Driven Gross Domestic Product Forecasting Model based on Multi-Indicator Assessment

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Xin Wu ◽  
Zhenyuan Zhang ◽  
Haotian Chang ◽  
Qi Huang
Keyword(s):  
Gross Domestic Product ◽  
Data Driven ◽  
Domestic Product ◽  
Forecasting Model ◽  
Model Based

Factors influencing medical travel into the United States

2015 ◽  
Vol 9 (2) ◽  
pp. 118-135 ◽  
Author(s):  
Tricia J. Johnson ◽  
Jaymie S. Youngquist ◽  
Andy N. Garman ◽  
Samuel Hohmann ◽  
Paola R. Cieslak
Keyword(s):  
Gross Domestic Product ◽  
United Nations ◽  
International Medical ◽  
Data Driven ◽  
Domestic Product ◽  
Policy Makers ◽  
Content Type ◽  
Medical Travel ◽  
Country Level ◽  
The Usa

Purpose – This paper aims to evaluate the potential of 24 country-level measures for predicting the number of outbound international medical travelers into the USA, including health and healthcare system, economic, social and diplomatic and travel pattern factors. Medical travel is recognized as a growing global market and is an important subject of inquiry for US academic medical centers, hospitals and policy makers. Few data-driven studies exist to shed light on efficient and effective strategies for attracting international medical travelers. Design/methodology/approach – This was a retrospective, cross-sectional study of the 194 member and/or observer countries of the United Nations. Data for medical traveler volume into the USA between 2008 and 2010 were obtained from the USA Department of Commerce, Office of Travel and Tourism Industries, Survey of International Air Travelers. Data on country-level factors were collected from publicly available databases, including the United Nations, World Bank and World Health Organization. Linear regression models with a negative binomial distribution and log link function were fit to test the association between each independent variable and the number of inbound medical travelers to the USA. Findings – Seven of the 24 country-level factors were significantly associated with the number of outbound medical travelers to the USA These factors included imports as a per cent of gross domestic product, trade in services as a per cent of gross domestic product, per cent of population living in urban areas, life expectancy, childhood mortality, incidence of tuberculosis and prevalence of human immunodeficiency virus. Practical implications – Results of this model provide evidence for a data-driven approach to strategic outreach and business development for hospitals and policy makers for attracting international patients to the USA for medical care. Originality/value – The model developed in this paper can assist US hospitals in promoting their services to international patients as well as national efforts in identifying “high potential” medical travel markets. Other countries could also adapt this methodology for targeting the international patient market.

scholarly journals Permodelan Spasial pada Analisis Faktor yang Mempengaruhi Tingkat Pengangguran Terbuka Provinsi Bangka Belitung Tahun 2018

2021 ◽  
Vol 3 (2) ◽  
pp. 47-58
Author(s):  
Apriliansyah Mahmud ◽  
Ernawati Pasaribu
Keyword(s):  
Gross Domestic Product ◽  
Spatial Model ◽  
Spatial Effect ◽  
Domestic Product ◽  
Neighborhood Effect ◽  
Multidimensional Problem ◽  
Model Based

Unemployement is a multidimensional problem that have wide impact into progress and quality of one area. Based on that problem, it is necessary to have an  analysis of factor that affected this phenomena. One economy phenomenon of one area can be influenced by neighborhood economy activity. The purpose of this study is to know factors that affected open unemployemnet rate also answer the problem of neighborhood effect by spatial model. Based on result, variables that having spatial effect are open unemployement rate, count of poor citizen, and also gross domestic product. Beside of that, it is also known that error spatial model is feasible to be a model because having smallest AIC score.

scholarly journals Estimation of Microfinance Demand and Supply: With Special Reference to Assam

2015 ◽  
Vol 2 (4) ◽  
pp. 308-314
Author(s):  
Gopal Kumar Sarma ◽  
Saundarjya Borbora
Keyword(s):  
Gross Domestic Product ◽  
Special Reference ◽  
Southern Region ◽  
Domestic Product ◽  
Approximation Model ◽  
Demand And Supply ◽  
Low Level ◽  
Model Based ◽  
Loan Size ◽  
Regional Perspective

The paper delves to estimate microfinance demand, supply and its mismatch in India in general and Assam in particular. Since exact estimation is a bulky task, it adopts an approximation model based on poverty database, mixmarket database and some complementary reports on microfinance. The study shows that microfinance demand has shown a trend of increasing growth for India as well as Assam and stands its candidature as a potential matured market in future. The supply of microfinance for India as a whole is at low level, which shares only 0.70 per cent of gross domestic product of India. From the regional perspective, southern region dominates the supply of microfinance and Assam shares the least. The study indicates a huge mismatch between demand for and supply of microfinance and considering mixmarket average loan size all the regions of India are deficient in terms microfinance supply. The study further indicates some of the possible reasons for the mismatch.  Int. J. Soc. Sci. Manage. Vol-2, issue-4: 308-314

scholarly journals Effect of Infrastructure Investment and Freight Accessibility on Gross Domestic Product: A Data-Driven Geographical Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Maria Jubiz-Diaz ◽  
Maria Saltarin-Molino ◽  
Julian Arellana ◽  
Carlos Paternina-Arboleda ◽  
Ruben Yie-Pinedo
Keyword(s):  
Gross Domestic Product ◽  
National Level ◽  
Spatial Separation ◽  
Poor Quality ◽  
Sustainable Transportation ◽  
Transport Infrastructure ◽  
Geographical Information ◽  
Data Driven ◽  
Domestic Product ◽  
Infrastructure Investments

Freight transportation can be defined as the movement of goods and services to customers to obtain a monetary reward. Poor quality transport infrastructure implies higher travelling times and costs. This indirectly affects the productivity of a region since transportation costs are directly related to sales prices. Therefore, infrastructure investments become important for improving the competitiveness of a region. The problem with these investments is that they take time and require a large amount of money. Consequently, it is extremely important to prioritise this type of investment. This paper will first explain whether transportation investment or a sustainable transportation method affect the exported freight accessibility and if it also affects regional productivity using a linear regression model with the aid of a data-driven geographical information system. It uses spatial separation, gravity, and cumulative opportunity measures to calculate accessibility. Finally, the paper denotes which regions are highly affected by improvements in road, river, and railway networks using Colombia as a case study. The comparison considers travelling time and costs savings under each scenario. The results indicate that the gravity measure was the most appropriate accessibility measure for analysing the Gross Domestic Product (GDP). The scenario analyses suggest that zones farthest from the seaports are more sensitive to accessibility changes; consequently, they will receive higher improvements in their regional GDP with a national-level implementation of transport infrastructure investments. Thus, project prioritisation should be performed in regions where the investments lead to a decreased travel cost between regions and ports.

EVALUATION OF EXPORT DEVELOPMENT OPPORTUNITIES FROM TURKEY TO LITHUANIA

2015 ◽  
Author(s):  
Agnė JOTAUTAITĖ ◽  
Eglė JOTAUTIENĖ
Keyword(s):  
European Union ◽  
Gross Domestic Product ◽  
Foreign Trade ◽  
Empirical Research ◽  
Domestic Product ◽  
The European Union ◽  
Database Analysis ◽  
Fast Growing ◽  
Agriculture Industry ◽  
Textile Products

In this paper, export opportunities of textile products from Turkey to Lithuania are analyzed. The main goal of this article is to present an analysis of the opportunities to import textile products from Turkey to Lithuania. The empirical research basing on the statistical database analysis was used. The analysis of Turkey’s markets was showed that the economy is strongly dependent on exports of various products from Turkey and it is about one forth of Turkey’s GDP (Gross Domestic Product). The bulk of exports from Turkey is t o countries in the European Union. Turkey is one of the world’s largest manufacturers and exporters of textiles. The analysis of Lithuanian markets was indicated that Lithuania has a feasible market for imports due to its fast growing GDP, increasing labor wages and modernization of agriculture industry. Furthermore, advantageous and adequate policies of Lithuania’s foreign trade should encourage the development of imports to this country. The demand for textile products in Lithuania is growing rapidly and it is one of the most important sectors in fostering its economy

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