scholarly journals Estimating Bilateral Remittances in a Macroeconomic Framework: Evidence from top Remittance-Receiving Countries

2020 ◽  
Vol 8 (1) ◽  
pp. 95-118
Author(s):  
Keerti Mallela ◽  
Sunny Kumar Singh ◽  
Archana Srivastava
Keyword(s):  
Analytical Model ◽  
General Framework ◽  
Analytical Framework ◽  
New Method ◽  
Gdp Per Capita ◽  
Wealth Accumulation ◽  
New Model ◽  
Proposed Model ◽  
The World ◽  
Per Capita

Based on Ratha and Shaw’s (2007) model for estimating bilateral remittances, this study attempts to develop a new method for computing bilateral and aggregate remittances for the top five remittances-receiving countries for the period 2010-16. Considering tempered altruism as a motive for sending remittances, we develop an analytical framework based on the lifecycle hypothesis of saving to compute bilateral and aggregate remittances. We compare our bilateral and aggregate remittance values with the World Bank's values based on Ratha and Shaw’s (2007) model. Our analytical framework seems to be an improvement over the Ratha and Shaw model in several ways. First, our model considers several theoretical aspects of motivations to remit like saving, investment and wealth accumulation. Second, it addresses the issues of underestimation and overestimation, i.e. inaccuracy, of bilateral and aggregate remittances in various ways (for instance, by considering GDP per capita instead of GNI per capita we control for overestimation of remittances whereas by considering every kind of migrants from all destination countries we control for underestimation) and mitigates the probability of both these issues through the proposed model. Third, it compares regional bilateral remittances between the new model and the Ratha and Shaw model, delving on the reasons behind underestimation and overestimation, i.e. inaccuracy. We conclude that our analytical model has the potential to provide a general framework for computing bilateral and aggregate remittances which can be used for most of the remittance-receiving countries.

Searching for new Sources of growth. Are the Developing Countries Catching up with the Developed ones?

2015 ◽  
pp. 30-53
Author(s):  
V. Popov
Keyword(s):  
Developing Countries ◽  
Western Europe ◽  
Gdp Per Capita ◽  
The West ◽  
Catching Up ◽  
The Us ◽  
The World ◽  
Economic Divergence ◽  
Per Capita ◽  
Relative Standing

This paper examines the trajectory of growth in the Global South. Before the 1500s all countries were roughly at the same level of development, but from the 1500s Western countries started to grow faster than the rest of the world and PPP GDP per capita by 1950 in the US, the richest Western nation, was nearly 5 times higher than the world average and 2 times higher than in Western Europe. Since 1950 this ratio stabilized - not only Western Europe and Japan improved their relative standing in per capita income versus the US, but also East Asia, South Asia and some developing countries in other regions started to bridge the gap with the West. After nearly half of the millennium of growing economic divergence, the world seems to have entered the era of convergence. The factors behind these trends are analyzed; implications for the future and possible scenarios are considered.

The monetary value of disability-adjusted-life-years lost in Kenya in 2017.pdf

2019 ◽  
Author(s):  
Joses Kirigia ◽  
Rose Nabi Deborah Karimi Muthuri
Keyword(s):  
New York ◽  
International Monetary Fund ◽  
Health Expenditure ◽  
Analytical Framework ◽  
World Health ◽  
Gdp Per Capita ◽  
Current Health ◽  
Monetary Value ◽  
Life Years ◽  
Per Capita

<div>A variant of human capital (or net output) analytical framework was applied to monetarily value DALYs lost from 166 diseases and injuries. The monetary value of each of the 166 diseases (or injuries) was obtained through multiplication of the net 2019 GDP per capita for Kenya by the number of DALYs lost from each specific cause. Where net GDP per capita was calculated by subtracting current health expenditure from the GDP per capita. </div><div> </div><p>The DALYs data for the 166 causes were from IHME (Global Burden of Disease Collaborative Network, 2018), GDP per capita data from the International Monetary Fund world economic outlook database (International Monetary Fund, 2019), and the current health expenditure per person data from the WHO Global Health Expenditure Database (World Health Organization, 2019b). A model consisting of fourteen equations was calculated with Excel Software developed by Microsoft (New York).</p><p> </p>

Convergence of GDP Per Capita Among Coffee Producing and Re-Exporting Countries in the World

2022 ◽  
Author(s):  
Reuben M.J. Kadigi ◽  
Elizabeth Robinson ◽  
Sylvia Szabo ◽  
Rajabu KANGILE ◽  
Charles P. Mgeni ◽  
...  
Keyword(s):  
Gdp Per Capita ◽  
The World ◽  
Per Capita

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 Predictive System of COVID -19 Using Response Based Analytical Model

2021 ◽  
pp. 05-10
Author(s):  
Pallavi Mirajkar ◽  
Rupali Dahake
Keyword(s):  
Analytical Model ◽  
Medical Services ◽  
The Novel ◽  
Response Data ◽  
Proposed Model ◽  
The World

The novel COVID sickness 2019 (COVID-19) pandemic caused by the SARS-CoV-2 keeps on representing a serious and vital threat to worldwide health. This pandemic keeps on testing clinical frameworks around the world in numerous viewpoints, remembering sharp increments in requests for clinic beds and basic deficiencies in clinical equipments, while numerous medical services laborers have themselves been infected. We have proposed analytical model that predicts a positive SARS-CoV-2 infection by considering both common and severe symptoms in patients. The proposed model will work on response data of all individuals if they are suffering from various symptoms of the COVID-19. Consequently, proposed model can be utilized for successful screening and prioritization of testing for the infection in everyone.

scholarly journals A Hybrid Grey Prediction Model for Small Oscillation Sequence Based on Information Decomposition

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Meng Zhou ◽  
Bo Zeng ◽  
Wenhao Zhou
Keyword(s):  
Prediction Model ◽  
Small Oscillation ◽  
New Method ◽  
Superior Performance ◽  
Small Data ◽  
Grey Prediction ◽  
New Model ◽  
Grey Prediction Model ◽  
Proposed Model ◽  
Oscillation Characteristic

Grey prediction model has good performance in solving small data problem, and has been widely used in various research fields. However, when the data show oscillation characteristic, the effect of grey prediction model performs poor. To this end, a new method was proposed to solve the problem of modelling small data oscillation sequence with grey prediction model. Based on the idea of information decomposition, the new method employed grey prediction model to capture the trend characteristic of complex system, and ARMA model was applied to describe the random oscillation characteristic of the system. Crops disaster area in China was selected as a case study and the relevant historical eight-year data published by government department were substituted to the proposed model. The modelling results of the new model were compared with those of other traditional mainstream prediction models. The results showed that the new model had evidently superior performance. It indicated that the proposed model will contribute to solve small oscillation problems and have positive significance for improving the applicability of grey prediction model.

Is Guyana a new oil El Dorado?

2019 ◽  
Vol 12 (5) ◽  
pp. 365-368
Author(s):  
Luis Fernando Panelli
Keyword(s):  
South America ◽  
21St Century ◽  
Presidential Elections ◽  
Gdp Per Capita ◽  
The Political ◽  
Oil Exploitation ◽  
The World ◽  
Challenges And Opportunities ◽  
Per Capita

Abstract The Co-operative Republic of Guyana has become one of the most interesting and dynamic oil producing countries in the world at the start of the 21st century. The country already holds 5 billion barrels of proved reserves, which will certainly grow with new discoveries. Exxon leads a consortium of four companies that have the concession of the Stabroek Block (Liza Field), where nine discoveries have been made so far. Five FPSOs will be operating in the future, one of which is due to arrive in Guyana before the end of 2019 and another is due for 2020. By then, the country will be producing 340,000 barrels a day. This production will double and then reach 1 million barrels a day before the end of the next decade. The challenges and opportunities regarding the Guyanese people are dire. The lack of proper infrastructure is certainly one of the biggest challenges. But it is important to stress that the oil proceeds will transform Guyana into the highest GDP per capita of South America. The political stage is also analysed, since political instability might raise concerns for long-term investors. The Venezuela–Guyana differences regarding the sovereignty of the Essequibo Region are again a cause for concern. Brazil is a key player in supporting the geopolitical stability of South America. Presidential elections will be held in 2019/2020: the dispute will probably be between the current President Granger and the Opposition candidate Irfaan Ali. Guyana has a lot to profit from the wealth brought by oil exploitation, but its people fear the risk of growing corruption.

The Loan Shark in ASEAN

2020 ◽  
pp. 252-277
Author(s):  
Khairunnisa Musari
Keyword(s):  
Gross Domestic Product ◽  
Capita Income ◽  
Southeast Asian ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Per Capita Income ◽  
The World ◽  
Per Capita ◽  
Asean Countries ◽  
Loan Shark

Loan shark is a humanitarian problem faced by many countries in the world, including in Asia, even in the Association of Southeast Asian Nations (ASEAN)'s countries. Loan shark activities are found not only in Myanmar and Cambodia, which has the lowest per capita income in ASEAN but also in Indonesia, Thailand, Malaysia, Brunei, and even Singapore, which are the five countries with the highest gross domestic product (GDP) per capita in ASEAN. How are loan shark practices in ASEAN countries? Can nanofinance overcome the microfinance gap to fight the loan shark? How the practice of Bank Wakaf Mikro (BWM) in Indonesia to nanofinance with qardhul hassan contract? Find the answers in this chapter.

New Analytical Model of Bolted Joints

2004 ◽  
Vol 126 (4) ◽  
pp. 721-728 ◽  
Author(s):  
Ouqi Zhang ◽  
Jason A. Poirier
Keyword(s):  
Finite Element ◽  
Analytical Model ◽  
External Load ◽  
Bolted Joints ◽  
Finite Element Analyses ◽  
Conventional Theory ◽  
New Model ◽  
Proposed Model ◽  
Compression Members ◽  
Additional Member

The conventional theory of bolted joints adopts equivalent cylinders, cones or spheres for compression members. In this model, the member deformation is determined by the member stiffness that remains unchanged whether the external load is present. In fact, the external load causes an additional member deformation that is not determined by the member stiffness measured at pre-load. The external load also causes a member rotation, which not only reduces the member stiffness, but also delays the separation of the joint. Based on these observations, a new model of bolted joints is developed. Finite element analyses is performed to verify the proposed model.

Forecasting global road traffic injury mortality for 2030

2019 ◽  
Vol 26 (4) ◽  
pp. 339-343 ◽  
Author(s):  
Haruhiko Inada ◽  
Qingfeng Li ◽  
Abdulgafoor Bachani ◽  
Adnan A Hyder
Keyword(s):  
Road Traffic ◽  
Secondary Analysis ◽  
Mortality Rates ◽  
Road Traffic Injury ◽  
Population Projection ◽  
Gdp Per Capita ◽  
Country Level ◽  
The World ◽  
Per Capita ◽  
Years Of Schooling

ObjectiveTo forecast the number and rate of deaths from road traffic injuries (RTI) in the world in 2030.MethodsThis study was a secondary analysis of annual country-level data of RTI mortality rates for 1990–2017 in the Global Burden of Disease (GBD) 2017 Study, population projection for 2030, gross domestic product (GDP) per capita for 1990–2030 and average years of schooling among people aged 15 years+ for 1990–2030. We developed up to 6884 combinations of forecasting models for each subgroup stratified by country, sex and mode of transport using linear and squared year, GDP per capita and average years of schooling as potential predictors. We conducted a fixed-size, rolling window out-of-sample forecast to choose the best combination for each subgroup. In the validation, we used the data for 1990–2002, 1991–2003 and 1992–2004 (fit periods) to forecast mortality rates in 2015, 2016 and 2017 (test periods), respectively. We applied the selected combination of models to the data for 1990–2017 to forecast the mortality rate in 2030 for each subgroup. To forecast the number of deaths, we multiplied the forecasted mortality rates by the corresponding population projection.ResultsDuring the test periods, the selected combination of models produced the number of deaths that is higher than that estimated in the GBD Study by 5.1% collectively. Our model resulted in 1.225 million deaths and 14.3 deaths per 100 000 population in 2030, which were 1% and 12% less than those for 2017 in the GBD Study, respectively.ConclusionsThe world needs to accelerate its efforts towards achieving the Decade of Action for Road Safety goal and the Sustainable Development Goals target.

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