scholarly journals The Effect of E-Commerce on National Income in 114 Countries

2019 ◽  
pp. 148-155
Author(s):  
Rasi Tamadhika Fajar Ramadhan ◽  
Bambang Juanda ◽  
Muhammad Findi Alexandi
Keyword(s):  
Purchasing Power Parity ◽  
National Income ◽  
Least Square Method ◽  
Positive Influence ◽  
Error Component ◽  
Least Square ◽  
Information Communication ◽  
Power Parity ◽  
Economic Activities ◽  
Section Data

Information, Communication and Technology (ICT) was growing rapidly. E-commerce creates new economic activities through technology, especially in the field of trade. The main objective of the studied was to analyze the effect of e-commerce on national income. The analysis was performed by EC2SLS (Error Component-Two Stage Least Square) method. Analysis using panel data with cross section data of 114 countries in the 2016-2017 period. The data used were GDP data based on purchasing power parity (PPP); previous year's GDP; e-commerce users; ICT services exports and imports; government spending; investment (FDI); country dummy. The analysis shows that e-commerce had a significant effect on national income. E-commerce for 113 other countries had a positive influence of 0.0026% while e-commerce for indonesia had a positive influence of 0.0080%.

Determinants of Foreign Direct Investment in ASEAN

2008 ◽  
Vol 43 (3) ◽  
pp. 21-51 ◽  
Author(s):  
P.R. Bhatt
Keyword(s):  
National Income ◽  
Least Square Method ◽  
Fixed Effect Model ◽  
Positive Influence ◽  
Fixed Effect ◽  
Least Square ◽  
Negative Sign ◽  
Significant Variable ◽  
Fdi Inflows ◽  
Effect Model

The ASEAN region has become one of the most attractive investment locations in the developing world. It attracted FDI to the tune of US$19 billion in 2003. Among ASEAN countries, Singapore topped the list with US$11 billion FDI inflows followed by Malaysia (US$2.5 bn), Brunei (US$.0 bn), and Vietnam (USɁ5 bn) in 2003. An attempt has been made in this paper to understand the determinants of FDI in ASEAN. The empirical model is estimated for five countries of ASEAN and ASEAN region as a whole for the period 1976-2003. The estimation of the model shows that there is a positive influence of the size of the economy (GNI) on FDI inflows in the case of Indonesia and Singapore. The infrastructure is significant for Indonesia and Malaysia in attracting FDI. Exchange rate had influence on FDI for Malaysia. The openness of the economy was significant in attracting FDI for Indonesia. The model is estimated for panel data of ASEAN region by pooled least square method and fixed effect model. In the case of pooled least square method, gross national income (GNI) is very significant and having expected sign. This implies that market size attracted FDI in the ASEAN region. The depreciation of the currency attracted FDI inflows in ASEAN as indicated by the variable XR which is significant with negative sign. Infrastructure is another significant variable in this model. Openness variable is significant but negative sign. When the model was estimated by fixed effect model it is found that all variables are significant with expected sign except in the case of the variable openness.

Program Against Cancer in Eritrea

2021 ◽  
Vol 2 (2) ◽  
pp. 01-04
Author(s):  
El Hadji Mbaye
Keyword(s):  
Cancer Incidence ◽  
Purchasing Power Parity ◽  
National Income ◽  
Cancer Control ◽  
Cost Effective ◽  
Central Intelligence Agency ◽  
World Health ◽  
Power Parity ◽  
Intelligence Agency ◽  
The World

Worldwide, one in eight deaths is due to cancer. Projections based on the GLOBOCAN 2012 estimates predict a substantive increase new cancer cases per year by 2035 in developing countries if preventive measures are not widely applied. According to the World Health Organization (WHO), millions of lives could be saved each year if countries made use of existing knowledge and the best cost-effective methods to prevent and treat cancer. Therefore, the aim of this study is to estimate a provisional budget against cancer in low and middle incomes countries, according the GNI-PPP, the cancer incidence and the number of population. Economically country classification is determining with the Gross national income (GNI), per capita, Purchasing power parity (PPP), according the administrations of the International Monetary Fund (IMF), the World Bank (WB) and the Central Intelligence Agency (CIA). Cancer incidence data presented are based on the most recent data available at IARC. However, population compares estimates from the US Bureau of the Census. The provisional budget is establishing among the guidelines developed by WHO for regional and national cancer control programs according to national economic development. Provisional budget against cancer is estimated to 12,782.535 (thousands of U.S $) for a population of 5,918,919 persons in Eritrea.

Program Against Cancer in Congo, Democratic Republic

2021 ◽  
Vol 7 (2) ◽  
pp. 01-04
Author(s):  
El Hadji Mbaye
Keyword(s):  
Cancer Incidence ◽  
Purchasing Power Parity ◽  
Democratic Republic ◽  
National Income ◽  
Cancer Control ◽  
Central Intelligence Agency ◽  
World Health ◽  
Power Parity ◽  
Intelligence Agency ◽  
The World

Worldwide, one in eight deaths is due to cancer. Projections based on the GLOBOCAN 2012 estimates predict a substantive increase new cancer cases per year by 2035 in developing countries if preventive measures are not widely applied. According to the World Health Organization (WHO), millions of lives could be saved each year if countries made use of existing knowledge and the best cost-effective methods to prevent and treat cancer. Therefore, the aim of this study is to estimate a provisional budget against cancer in low and middle incomes countries, according the GNI-PPP, the cancer incidence and the number of population. Economically country classification is determining with the Gross national income (GNI), per capita, Purchasing power parity (PPP), according the administrations of the International Monetary Fund (IMF), the World Bank (WB) and the Central Intelligence Agency (CIA). Cancer incidence data presented are based on the most recent data available at IARC. However, population compares estimates from the US Bureau of the Census. The provisional budget is establishing among the guidelines developed by WHO for regional and national cancer control programs according to national economic development. Provisional budget against cancer is estimated to 86,980.024 (thousands of U.S $) for a population of 83,301,151 persons in Congo, Democratic Republic.

scholarly journals Program Against Cancer in Kenya

2020 ◽  
pp. 1-4
Author(s):  
El Hadji Seydou Mbaye ◽  
Keyword(s):  
Cancer Incidence ◽  
Purchasing Power Parity ◽  
National Income ◽  
Cancer Control ◽  
Cost Effective ◽  
Central Intelligence Agency ◽  
World Health ◽  
Power Parity ◽  
Intelligence Agency ◽  
The World

Worldwide, one in eight deaths is due to cancer. Projections based on the GLOBOCAN 2012 estimates predict a substantive increase new cancer cases per year by 2035 in developing countries if preventive measures are not widely applied. According to the World Health Organization (WHO), millions of lives could be saved each year if countries made use of existing knowledge and the best cost-effective methods to prevent and treat cancer. Therefore, the aim of this study is to estimate a provisional budget against cancer in low and middle incomes countries, according the GNI-PPP, the cancer incidence and the number of population. Economically country classification is determining with the Gross national income (GNI), per capita, Purchasing power parity (PPP), according the administrations of the International Monetary Fund (IMF), the World Bank (WB) and the Central Intelligence Agency (CIA). Cancer incidence data presented are based on the most recent data available at IARC. However, population compares estimates from the US Bureau of the Census. The provisional budget is establishing among the guidelines developed by WHO for regional and national cancer control programs according to national economic development. Provisional budget against cancer is estimated to 352,278.784 (thousands of U.S $) for a population of 47,615,739 persons in Kenya

scholarly journals Analysis of Labor Absorption (Study in Kerupuk Sanjai Small and Medium Enterprises in Kabupaten Lima Puluh Kota)

2019 ◽  
Vol 2 (2) ◽  
pp. 68-75
Author(s):  
Nelvia Iryani ◽  
Syaiful Anwar
Keyword(s):  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Field Research ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Economic Activities ◽  
Ordinary Least Square ◽  
Production Value ◽  
Medium Enterprises

Labor is a very important asset in economic activities, but often the number of workers exceeds the available employment capacity, so it is very necessary to analyze the factors that affect employment. This study aims to estimate the relationship between wage, capital, production value to the amount of employment in Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota This type of research is field research and use questioner to 100 respondens . The analytical tool used is multiple linear regression analysis with OLS (Ordinary Least Square) method and data processing using SPSS VR.21 software. The results of the study show that  all independent variabels has a  significant effect on labor absorption in Kerupuk Sanjai SMEs in Kabupaten Limapuluh Kota. capital is the variable that has the most influence in the absorption of labor in the Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota.

scholarly journals PERSEPSI MAHASISWA ATAS KUALITAS PELAYANAN LABORATORIUM BANK MINI STIE KESATUAN DAN IMPLIKASINYA TERHADAP KEPUASAN MAHASISWA

2018 ◽  
Vol 2 (1) ◽  
pp. 13 ◽  
Author(s):  
Muhammad Ariffin ◽  
Suharmiati Suharmiati ◽  
Andi Yudha Amwilla
Keyword(s):  
Service Quality ◽  
Student Satisfaction ◽  
Least Square Method ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Physical Evidence ◽  
Partial Least Square Method

The Purpose of  this research is to measure the influence of the service quality of Laboratorium Bank Mini on student’s satisfaction. This research was conducted in STIE Kesatuan Bogor with 100 respondents. Data were analyzed using partial least square method. The results showed that the Physical Evidence, Reliability, Responsiveness, Assurance and Empathy has a significant and positive influence on the student satisfaction of Laboratorium Bank Mini STIE Kesatuan.   Keywords: Service Quality, Student Satisfaction, Laboratorium Bank Mini.

scholarly journals DOES THE BALASSA–SAMUELSON THEORY EXPLAIN THE LINK BETWEEN RELATIVE POPULATION GROWTH AND PURCHASING POWER PARITY?

2013 ◽  
Vol 58 (01) ◽  
pp. 1350007 ◽  
Author(s):  
A. F. M. KAMRUL HASSAN ◽  
RUHUL SALIM
Keyword(s):  
Exchange Rate ◽  
Population Growth ◽  
Purchasing Power Parity ◽  
Panel Cointegration ◽  
Least Square ◽  
Power Parity ◽  
Relative Population ◽  
Relative Prices ◽  
Stable Relationship ◽  
Long Run

Relative population growth affects relative prices through the so-called Balassa–Samuelson (BS) mechanism and that in turn impacts PPP. This paper empirically investigates the relationship between the PPP exchange rate and relative population growth in a panel of 80 selected countries. Following the BS hypothesis, this paper argues that relative population growth affects nominal wages that impact price levels and thereby impacts PPP. Using panel cointegration and fully modified ordinary least square (FMOLS), the empirical results show that there is a stable relationship between PPP exchange rate and relative population growth in the long run. These empirical findings suggest that population growth have an important role in exchange rate determination through PPP.

Influence of Selected Macroeconomic Variables on Economic Growth in Nigeria (1999 – 2018)

2020 ◽  
Vol 7 (8) ◽  
pp. 315-325
Author(s):  
Lyndon M. Etale ◽  
Lucky L. Imbazi
Keyword(s):  
Economic Growth ◽  
Money Supply ◽  
Least Square Method ◽  
Positive Influence ◽  
Sustainable Growth ◽  
Least Square ◽  
P Value ◽  
Political Will ◽  
Long Run ◽  
Multiple Regression Technique

This study set out to empirically examine the influence of selected microeconomic variables (MEVs) on economic growth in Nigeria between 1999 and 2018. It evaluated gross domestic product (as the measure of economic growth) as a function of four selected variables of MEVs: Interest rate, Exchange rate, Inflation and Broad Money Supply. For effective and efficient analysis of the study variables the multiple regression technique based on the ordinary least square method with the help of several inferential statistical tools were used for data analysis to draw necessary conclusions. The models used analyze the relationship between the selected MEVs. Nigeria’s inability to increase her GDP over the years far above her population growth is heavily dependent on the sincerity of our political will to actualize it. The hypotheses formulated were rejected for three variables because the critical P-value 0.05 is < the calculated P-values; except for BMS Broad Money Supply (BMS) which revealed significant positive influence on GDP with P-value of 0.00 < 0.05 level of significance. The study therefore concluded that macroeconomic decision is not enough to bring about economic growth. The interplay of both fiscal and monetary policy backed up with political will to achieve its objectives both in the short and long-run is required. Nigeria still lack good political will for economic growth and poor governance. Still government should improve the regulations and supervisory role in the financial sector for sustainable growth to be achieved in Nigeria.

scholarly journals Program Against Cancer in Congo, Republic

2021 ◽  
Vol 7 (1) ◽  
pp. 01-04
Author(s):  
El Hadji Mbaye
Keyword(s):  
Cancer Incidence ◽  
Purchasing Power Parity ◽  
National Income ◽  
Cancer Control ◽  
Cost Effective ◽  
Central Intelligence Agency ◽  
World Health ◽  
Power Parity ◽  
Intelligence Agency ◽  
The World

Worldwide, one in eight deaths is due to cancer. Projections based on the GLOBOCAN 2012 estimates predict a substantive increase new cancer cases per year by 2035 in developing countries if preventive measures are not widely applied. According to the World Health Organization (WHO), millions of lives could be saved each year if countries made use of existing knowledge and the best cost-effective methods to prevent and treat cancer. Therefore, the aim of this study is to estimate a provisional budget against cancer in low and middle incomes countries, according the GNI-PPP, the cancer incidence and the number of population. Economically country classification is determining with the Gross national income (GNI), per capita, Purchasing power parity (PPP), according the administrations of the International Monetary Fund (IMF), the World Bank (WB) and the Central Intelligence Agency (CIA). Cancer incidence data presented are based on the most recent data available at IARC. However, population compares estimates from the US Bureau of the Census. The provisional budget is establishing among the guidelines developed by WHO for regional and national cancer control programs according to national economic development. Provisional budget against cancer is estimated to 40,331.765 (thousands of U.S $) for a population of 4,954,674 persons in Congo, Republic.

scholarly journals Fixed Investment and Economic Growth: ARDL and Causality Exploration for SADC Countries

2021 ◽  
Vol 11 (4) ◽  
pp. 18
Author(s):  
Reginald Masimba Mbona ◽  
Chilombo Stephania Mumba ◽  
Tinashe Mangudhla
Keyword(s):  
Economic Growth ◽  
Purchasing Power Parity ◽  
Power Parity ◽  
Fixed Investment ◽  
Economic Activities ◽  
Long Run ◽  
Short Run ◽  
Using Data ◽  
The Cost ◽  
Marginal Returns

In assessing the short run and the long-run effects of fixed investment and economic growth among Southern Africa countries, we evaluated the economic progress of the SADC (Southern African Development Committee) region. Our objective is to determine how variables (GDP, purchasing power parity, inflation, electricity, balance-of-payments, and unemployment) can be affected by the fixed investment. In determining how fixed investment affects economic activities and policies among the states, the ADRL estimation approach is applied. Using data from 13 countries in the SADC region from the period 1992-2018, we enumerate the variables’ marginal returns against the fixed investment component. The results of diagnostic and other tests show that all statistical procedures are robust. The result proves that the benefits of fixed investment are yielded over a long period rather than short periods. As a result, the cost in the short term cannot be compared to the benefits that will be enjoyed later by an economy as it becomes productive. Furthermore, the lack of consistent fixed investment among countries will eventually lead to insufficient cash flow, which will negatively affect the currency. These results would seem to suggest that the introduction of policies that promote investment will massively contribute to increased productivity and positive economic growth in the region.

Sign in / Sign up

Export Citation Format

Share Document