scholarly journals The Impact of Migration and Remittances on Employment in Agriculture in the Gambia

2020 ◽  
Vol 3 (2) ◽  
pp. 1-16
Author(s):  
Ebrima K. Ceesay
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Regression Models ◽  
African Country ◽  
Positive Impact ◽  
The Gambia ◽  
Linear Regression Models ◽  
Capital Theory ◽  
The Impact ◽  
Unskilled Employment

For economic growth and development in any WE African country the GDP progress is depending on the key push-pull factors as migration, personal remittances received, bilateral aids and, absolutely, employment in agriculture which is about 1/3 of the population and not a predominant and protected minority as happens in the industrialized EU and North America. In order to represent the framework of the reciprocal dependencies the present study used the statistics of Gambia from WDI covering the periods from 1960 to 2017 by applying linear regression models. The results confirmed that migration and remittances have significant positive impact on employment in agriculture because new investment in agriculture created new skilled and unskilled employment. The results also found out that employment in agriculture has negative and significant impacts on foreign aids: 10% increase in migration, increases foreign aid by 50.3%. Increasing 10% of remittance, increase economic growth by 0.14% but 10% increases in employment in agriculture, decrease economic growth by 0.04%. To face globalization the economy of the Gambia should use the foreign aid to improve agriculture production and productivity thereby increase economic growth through human capital theory of migration, skilled migration, export and food security, the study recommends.

scholarly journals Impact of foreign direct investment on economic growth in the world during 1975–2015

2018 ◽  
Vol 20 (91) ◽  
pp. 28-32
Author(s):  
B. B. Brychka
Keyword(s):  
Economic Growth ◽  
Literature Review ◽  
Regression Models ◽  
Trade Openness ◽  
Positive Influence ◽  
Linear Regression Models ◽  
Average Value ◽  
Gdp Growth Rate ◽  
The World ◽  
The Impact

The study is concentrated on examination the impact of FDI on economic growth in the World during 1975–2015. The study consists of four consecutive parts, including introduction, literature review, model and methodology, data, empirical results and conclusion. Each part of the study is focused on its own goals. According to the results of the literature review, there is positive influence of FDI on economic growth in various countries. Economic growth is one of the most important goals of any country. The country image on the international level is dependent on its economic power. Economic growth provides an opportunity to improve the living standards in the country. Most researchers conclude that there is a positive influence of FDI on the countries’ economic growth. However, the impact of FDI is strong in developing countries. Moreover, this relationship is stronger in countries with higher educational and technological level, trade openness and development of the countries’ stock markets. Economists often build regression models to estimate the relationship between the variables. In order to find the impact of FDI on economic growth, we are going to apply linear regression models. We take two variables as indicators of the countries’ economic growth, including current GDP expressed in U.S dollars, and annual GDP growth rate. Taking into account that the World’s GDP in current U.S dollar is a factor variable with the mentioned resulting variables, the regression equation looks as follows: The R-squared of the built model is 0.99, indicating that roughly 100% of changes in the World’s GDP is caused by the chosen factors. As it is seen from the SAS output, the residuals of dependent variable and factors variables are distributed normally among its average value. Thus, non-normality is not observed in the model. Taking into account the coefficients of the factor variables, the log GDP is most sensitive to the changes in trade as a percent of GDP. The log GDP is not quite sensitive to the changes in FDI, since the coefficient of 0.000128 means that increasing of FDI by one unit increase the logarithmic value of GDP by $ 0.000128.

scholarly journals The Impact of Foreign Aid on Economic Growth in Ethiopia

2012 ◽  
Vol 13 (2) ◽  
pp. 87-112
Author(s):  
Mohammed Seid Hussen ◽  
Kye Woo Lee
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Positive Impact ◽  
Aid Effectiveness ◽  
Gdp Growth ◽  
Domestic Investment ◽  
Per Capita Gdp ◽  
Democratic Regimes ◽  
Per Capita ◽  
The Impact

This paper investigates the impact of foreign aid on investment and economic growth of Ethiopia for the period 1971-2010. The result indicates that foreign aid has a statistically significant positive impact on domestic investment, while aid’s positive impact on per capita GDP growth does not depend on any macroeconomic policy conditionality. Rather, aid effectiveness depends on the peculiar social, political and economic institutions of particular periods. Aid is effective during both socialist and democratic regimes. However, aid’s impact on growth was greater for socialist regimes.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

How Does Public Debt Affect the Indian Macroeconomy? A Structural VAR Approach

2020 ◽  
Vol 14 (3) ◽  
pp. 253-284
Author(s):  
Ranjan Kumar Mohanty ◽  
Sidheswar Panda
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Public Debt ◽  
Positive Impact ◽  
Decomposition Analysis ◽  
Structural Var ◽  
Adverse Impact ◽  
Mixed Effect ◽  
Domestic Debt ◽  
The Impact

The study investigates the macroeconomic effects of public debt in India during 1980–2017 using a structural vector autoregression framework. The objective is to examine the impact of public debt on the interest rate, investment, inflation and economic growth in India. The results of the impulse response functions show that public debt has an adverse impact on economic growth but a positive impact on the long-term interest rate in the short run and a mixed effect (both negative and positive) on investment and inflation. We also find that domestic debt has a more adverse impact on the economy than external debt. The estimated variance decomposition analysis finds that much of the variation in selected macro variables are explained by public debt and growth in India. This study suggests that public debt especially domestic debt should be controlled and channelled productively to have a favourable impact on the economy. JEL Classification: H63, O40, C40

scholarly journals Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 299
Author(s):  
Jaime Pinilla ◽  
Miguel Negrín
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Trend ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Linear Regression Models ◽  
Non Linear ◽  
Nonlinear Trends ◽  
The Impact ◽  
Non Parametric

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis. However, they assume a linear trend that may not be appropriate in many situations. In this paper, we show how generalized additive models (GAMs), a non-parametric regression-based method, can be useful to accommodate nonlinear trends. An analysis with simulated data is carried out to assess the performance of both models. Data were simulated from linear and non-linear (quadratic and cubic) functions. The results of this analysis show how GAMs improve on segmented linear regression models when the trend is non-linear, but they also show a good performance when the trend is linear. A real-life application where the impact of the 2012 Spanish cost-sharing reforms on pharmaceutical prescription is also analyzed. Seasonality and an indicator variable for the stockpiling effect are included as explanatory variables. The segmented linear regression model shows good fit of the data. However, the GAM concludes that the hypothesis of linear trend is rejected. The estimated level shift is similar for both models but the cumulative absolute effect on the number of prescriptions is lower in GAM.

scholarly journals Modeling the Impact of Climate Changes on Crop Yield: Irrigated vs. Non-Irrigated Zones in Mississippi

2021 ◽  
Vol 13 (12) ◽  
pp. 2249
Author(s):  
Sadia Alam Shammi ◽  
Qingmin Meng
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Crop Yields ◽  
Negative Impact ◽  
Positive Impact ◽  
Information Criterion ◽  
Growing Season ◽  
Maximum Temperature ◽  
Linear Regression Models ◽  
The Impact

Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods. In this study, we used linear regression models to assess the impact of climate on crop yield spatially and temporally by managing irrigated and non-irrigated crop fields. The climate data used in this study are Tmax (maximum temperature), Tmean (mean temperature), Tmin (minimum temperature), precipitation, and soybean annual yields, at county scale for Mississippi, USA, from 1980 to 2019. We fit a series of linear models that were evaluated based on statistical measurements of adjusted R-square, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). According to the statistical model evaluation, the 1980–1992 model Y[Tmax,Tmin,Precipitation]92i (BIC = 120.2) for irrigated zones and the 1993–2002 model Y[Tmax,Tmean,Precipitation]02ni (BIC = 1128.9) for non-irrigated zones showed the best fit for the 10-year period of climatic impacts on crop yields. These models showed about 2 to 7% significant negative impact of Tmax increase on the crop yield for irrigated and non-irrigated regions. Besides, the models for different agricultural districts also explained the changes of Tmax, Tmean, Tmin, and precipitation in the irrigated (adjusted R-square: 13–28%) and non-irrigated zones (adjusted R-square: 8–73%). About 2–10% negative impact of Tmax was estimated across different agricultural districts, whereas about −2 to +17% impacts of precipitation were observed for different districts. The modeling of 40-year periods of the whole state of Mississippi estimated a negative impact of Tmax (about 2.7 to 8.34%) but a positive impact of Tmean (+8.9%) on crop yield during the crop growing season, for both irrigated and non-irrigated regions. Overall, we assessed that crop yields were negatively affected (about 2–8%) by the increase of Tmax during the growing season, for both irrigated and non-irrigated zones. Both positive and negative impacts on crop yields were observed for the increases of Tmean, Tmin, and precipitation, respectively, for irrigated and non-irrigated zones. This study showed the pattern and extent of Tmax, Tmean, Tmin, and precipitation and their impacts on soybean yield at local and regional scales. The methods and the models proposed in this study could be helpful to quantify the climate change impacts on crop yields by considering irrigation conditions for different regions and periods.

The nexus between financial development and energy consumption: Estimating the role of foreign direct investment, economic growth and urbanization

2021 ◽  
pp. 0958305X2110453
Author(s):  
Jaleel Ahmed ◽  
Shuja ur Rehman ◽  
Zaid Zuhaira ◽  
Shoaib Nisar
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Financial Development ◽  
Latin American ◽  
Direct Investment ◽  
Negative Impact ◽  
Positive Impact ◽  
Supply And Demand ◽  
The Impact

This study examines the impact of financial development on energy consumption for a wide array of countries. The estimators used for financial development are foreign direct investment, economic growth and urbanization. The study employed a panel data regression on 136 countries with time frame of years 1990 to 2019. The model in this study deploys system GMM technique to estimate the model. The results show that financial development has a significant negative impact on energy consumption overall. Foreign direct investment and urbanization has significant impact on energy consumption. Also, economic growth positive impact on energy consumption its mean that economic growth promotes energy consumption. When dividing further the sample into different groups of regions such as Asian, European, African, North/Latin American and Caribbean countries then mixed results related to the nexus between financial development and energy consumption with respect to economic growth, urbanization and foreign direct investment. The policymakers in these different groups of countries must balance the relationship between energy supply and demand to achieving the sustainable economic development.

scholarly journals Impact of unemployment and income on entrepreneurship in post-apartheid South Africa: 1994–2015

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Darma Mahadea ◽  
Irrshad Kaseeram
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Employment Growth ◽  
Positive Impact ◽  
Early Stage ◽  
National Development ◽  
Entrepreneurial Activity ◽  
Per Capita Gdp ◽  
Per Capita ◽  
The Impact

Background: South Africa has made significant progress since the dawn of democracy in 1994. It registered positive economic growth rates and its real gross domestic product (GDP) per capita increased from R42 849 in 1994 to over R56 000 in 2015. However, employment growth lagged behind GDP growth, resulting in rising unemployment. Aim and setting: Entrepreneurship brings together labour and capital in generating income, output and employment. According to South Africa’s National Development Plan, employment growth would come mainly from small-firm entrepreneurship and economic growth. Accordingly, this article investigates the impact unemployment and per capita income have on early stage total entrepreneurship activity (TEA) in South Africa, using data covering the 1994–2015 period. Methods: The methodology used is the dynamic least squares regression. The article tests the assertion that economic growth, proxied by real per capita GDP income, promotes entrepreneurship and that high unemployment forces necessity entrepreneurship. Results: The regression results indicate that per capita real GDP, which increases with economic growth, has a highly significant, positive impact on entrepreneurial activity, while unemployment has a weaker effect. A 1% rise in real per capita GDP results in a 0.16% rise in TEA entrepreneurship, and a 1% rise in unemployment is associated with a 0.25% rise in TEA. Conclusion: There seems to be a strong pull factor, from income growth to entrepreneurship and a reasonable push from unemployment to entrepreneurship, as individuals without employment are forced to self-employment as a necessity, survival mechanism. Overall, a long-run co-integrating relationship seems plausible between unemployment, income and entrepreneurship in South Africa.

scholarly journals The Impact of Turning Jordan into an Economic Free Zone on the Flow of Foreign Investments

2018 ◽  
Vol 13 (12) ◽  
pp. 61
Author(s):  
Ahmad Y. Areiqat ◽  
Hanan Ibrahim
Keyword(s):  
Economic Growth ◽  
Civil Wars ◽  
Social Life ◽  
Positive Impact ◽  
Relevant Literature ◽  
Foreign Investments ◽  
Investment Environment ◽  
Free Zone ◽  
Governmental Institutions ◽  
The Impact

Purpose: The purpose of this study is to show that turning Jordan into an economic free zone will lead to a significant increase in foreign investments. This increase, in turn, will lead to an economic growth and to a reduction in the unemployment rate. Jordan is a developing country and any successful investments in the economy sector will have a positive impact on the quality of the social life of its people. This is particularly important now in view of the economic pressure that Jordan is going through as a result of the presence of a huge number of immigrants who have fled the civil wars in neighboring countries.  Methodology: This study has utilized the relevant literature by way of evaluating the benefits of establishing economic free zones in Jordan. Many of the findings are based on analyzing statistical information published by governmental institutions in Jordan. Findings: Jordan offers an attractive investment environment due to the security and stability it enjoys compared with other countries in the Arab region. As such, it has succeeded in establishing new economic free zones through partnership with foreign investors. This has led to a significant increase in the flow of more foreign investments in Jordan. The present study shows that turning the whole of Jordan into an economic free zone will lead to yet a further increase of foreign investments, and hence to more empowerment of the economic sector. Limitations:  The quantitative data available is limited to the years 1999-2007. Value: The findings of this study can be a point of departure for researchers and economic decision-makers in Jordan to prepare economic plans with the purpose of attracting foreign investments and hence promoting economic growth in the country.

scholarly journals Digital Intellectual Capital of Russian Companies and its Impact on Financial and Innovation Performance

2021 ◽  
Vol 93 ◽  
pp. 05008
Author(s):  
Ilia Chernenko ◽  
Natalya Kelchevskaya ◽  
Irina Pelymskaya
Keyword(s):  
Intellectual Capital ◽  
Return On Investment ◽  
Customer Value ◽  
Positive Impact ◽  
Business Community ◽  
Russian Regions ◽  
Manufacturing Companies ◽  
Capital Theory ◽  
Regional Product ◽  
The Impact

The paper aims to investigate the level of accumulated digital intellectual capital and investments in digital transformation in the Russian regions and study its impact on the gross regional product and companies’ revenue, as well as on the innovative activity of companies. The study relies on the multiple regression method to find significant relationships between digitalization and performance indicators in 85 Russian regions and cities of federal significance. The originality of the approach used in this study lies in the development of the digital capital theory: the authors assess the impact of accumulated digital intellectual capital and investment on the performance of manufacturing and service companies and show the difference in return on investment between sectors. The results of the study show that though Russian regions are at the initial stage of the digital economy development, digitalization has a significant positive impact on the financial and innovative performance. Manufacturing companies primarily use structural capital to create customer value. Service-oriented companies also receive a positive return on investment in human and relational capital. The results obtained can be applied in practice by the business community to support investment decisions and analyse the processes of creating digital intellectual capital in companies.

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