scholarly journals Macroeconomic impact of remittances on output growth: Evidence from Turkey

2014 ◽  
Vol 7 (2) ◽  
pp. 132-143 ◽  
Author(s):  
Aysıt Tansel ◽  
Pınar Yaşar

This study estimates a Keynesian simultaneous, dynamic macro-econometric model to investigate the impact of remittances on key macro variables such as consumption, investment, imports and income in Turkey. The estimated impact and dynamic multipliers indicate that impact of remittances on consumption, imports and income are all positive and reduce gradually while that on investment wears out in the second year. The impact multiplier for income implies a substantial increase in income due to remittances through the multiplier process. The remittances-induced output growth rate is highest during the early 1970s and the early 1980s, but negligible during the other years.

2012 ◽  
Vol 9 (4) ◽  
pp. 337-351
Author(s):  
Aysit Tansel ◽  
Pinar Yasar

In this study, a Keynesian model studying simultaneously, the impact of immigrant workers’ foreign currency transfers on macro variables such as consumption, investment, imports and income of Turkey is presented. While the calculated impact and dynamic multipliers of immigrant workers’ foreign currency transfers on consumption, imports and income is positive and gradually diminishing, their impact on investment is removed in the second year. With regard to its multiplying impact on income, it is observed that immigrant workers’ foreign currency transfers increases income notably. While the output growth resulting from immigrant workers’ foreign currency transfers reached highest level at the beginning of the seventies and the eighties, output growth during other periods, was negligibly low.[IN TURKISH]Göçmen dövizleri gelişmekte olan ülkeler için önemli bir dış finansman kaynağıdır. Güncel finansal kriz göçmen dövizleri kullanım hacmi ve yönelimini etkilemesinin yanı sıra göçmen dövizleri akımını da etkilemiştir. Bu özel sayıda, krizin hemen hissedilen etkilerini anlamak için dünyanın çeşitli yerlerinden toplanan vakalar sunulmuştur. Krizin göç yönelimlerine etkisinin yol açacağı olası tesirler henüz gerçekleşmekte ve çalışılmaktadır.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Magacho ◽  
Rafael Ribeiro ◽  
Igor Rocha

Purpose As economies with high economic complexity and productive capabilities may easily adapt their productive structure due to product differentiation and innovation, the central variable of competitiveness for these countries is the product quality, not price. On the other hand, the price can be an important determinant of less complex countries, and hence, real exchange rate (RER) misalignments may have long-term impacts. This paper aims to empirically assess variations in the magnitude of the impact in RER misalignments on output growth subject to countries’ economic complexity. Design/methodology/approach The estimation technique used is the generalized method of moments-System estimator as this method is robust to reverse causality. Heterogeneous regressions using interaction models are undertaken to analyze to what extend promoting economic complexity can reduce price competitiveness dependence and allow countries to grow faster without relying on cost competitiveness. Findings Estimates show that economic complexity (which measures technological and productive capabilities) determines cross-country differences regarding the effects of RER misalignments on countries’ long-term growth rates. The results suggest that exchange rate devaluations may not be effective for countries at the top end of the technological ladder while an overvalued RER may damage the long-term growth rate of countries with low levels of economic complexity. Originality/value This paper contributes to the literature by empirically investigating the impact of RER misalignments in countries with distinct technological and productive capabilities based on the recent developments of countries’ economic complexity analysis. It investigates whether more diversified and complex economies are less sensitive to RER misalignments as they can adapt their production, undertake other tasks, create new products and increase the quality of products they produce. Less complex economies, on the other hand, are less capable of innovating because it demands productive capabilities they do not have, and hence, they are more dependent on their current export basket.


2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Tarmizi Gadeng

The main objective of this study is to find out the impact of the inflation rate,percapita income as wall as the interest rate on the household comsumption of the population of Aceh.Secondary data 1983 – 2008 are collected or couning from various ageucig and instution and ordinary least square econometric model used as a method of analysis.            The result of the study tells us that the rate of inflation and the percapita income hare positive and significoutly effect on the household consumtion while the rate of interest on the other hand statistically has a negative and not significant effect on the house hold consumption. The interest rate which reflect the influence of the consumption has a positive, not significantly and in elactic. 


2016 ◽  
Vol 14 (1) ◽  
pp. 93-114 ◽  
Author(s):  
Kristina Detelj ◽  
Timotej Jagric ◽  
Tanja Markovic-Hribernik

This research focuses on the impact of public procurement for innovation (PPI) on a country's level of innovativeness. The available literature primarily consists of case studies that identify PPI’s impact on the innovativeness of particular firms. Therefore, this paper developed an econometric model to investigate the impact of PPI on the innovativeness of EU countries. The model tested the impact of four different innovation policy measures (PPI, R&D subsidies, regulations and cooperation). The results showed that in different model settings, PPI was positively and significantly related to countries’ innovativeness, whereas the other three measures showed low significance. These research findings may be important to policy makers when selecting appropriate measures for promoting innovation and thereby also enhancing their country’s competitiveness.


2019 ◽  
Vol 15 (3) ◽  
pp. 167-188
Author(s):  
Bimal Sarkar

Bangladesh being over populated is a cheap less-skilled and semi-skilled labor supplier country in the world and earning huge remittances from the abroad. This paper attempts to examine the dynamic effects of remittances on some important macroeconomic variables like consumption, investment, imports and economic growth in both the short and the long run in Bangladesh covering a period (1977-2014) following Nicholas P.Glytsos (2002) of Keynesian-type econometric model. The study finds using two-stage least square (2SLS) technique that one Taka increase in remittances contributes 3.15 Taka in income in Bangladesh through the impact multiplier as well as dynamic multipliers from the first year to seventh year.


2016 ◽  
Vol 14 (3) ◽  
pp. 559-574
Author(s):  
Mariusz Próchniak ◽  
Žan Jan Oplotnik ◽  
Borut Vojinović

In this study, we verify the hypothesis of convergence in the tourism sector across the regions of the enlarged EU. The tourism sector is measured by four variables: arrivals of residents, arrivals of non-residents, nights spent by residents and nights spent by non-residents and measure the intensity of tourist visits in a given region. Our analysis covers 272 regions of the EU28 countries with the analyzed period 1995-2014. The original time series have been divided by the number of population to be expressed per thousand of inhabitants. The results indicate that the tourism variables were developing in line with the - and σ-convergence hypotheses. The results for conditional β-convergence give some additional information about the impact of the other determinants on the growth rate in the number and the length of tourist visits.


2021 ◽  
Author(s):  
Yiwen Wu ◽  
Rong Yuan ◽  
Yuchen Pan

Abstract In recent years, China has repeatedly stated that CO2 emissions should reach a peak by 2030 and be carbon neutral by 2060. China’s transport sector is playing an important role in meeting China’s targets, as the emissions of CO2 from it grow steadily. We apply the LMDI to analyze the impact of regional development patterns on emissions in China’s transport sector. Based on the Kaya identity, eight factors (including carbon intensity, energy structure, energy intensity, turnover intensity, traffic intensity, regional structure, per capita traffic activity and population size) are decomposed. The period 1997–2017 is divided into four phases according to the growth rate of carbon emissions. The driving factors of CO2 emission characteristic were varied by periods. The degree of driving factors’ influence also varies by region. The change in output growth rate of the regional transport sector is positively correlated with the change in the share of output value added, which is positively correlated with the change in emissions.


2012 ◽  
Vol 15 (2) ◽  
pp. 142-170 ◽  
Author(s):  
Reyno Seymore ◽  
Olusegun Akanbi ◽  
Iraj Abedian

This study analyses the impact of an increase in Eskom’s capital expenditure on the overall macro and sectoral economy using both a Time-Series Macro-Econometric (TSME) model and a Computable General Equilibrium (CGE) model. The simulation results from the TSME model reveal that in the long run, major macro variables (i.e. household consumption, GDP, and employment) will be positively affected by the increased investment. A weak transmission mechanism of the shock on the macro and sectoral economy is detected both in the short run and long run due to the relatively small share of electricity investment in total investment in the economy. On the other hand, the simulation results from the CGE reveal similar but more robust positive impacts on the macro economy. Most of the short-run macroeconomic impacts are reinforced in the long run.


2021 ◽  
Vol 13 (22) ◽  
pp. 12370
Author(s):  
Jiaze Sun ◽  
Huijuan Lee ◽  
Jun Yang

This paper adopts the GDYN model to estimate the dynamic impact of the COVID-19 pandemic on global manufacturing industry and the value chain. Our simulation finds that (1) In the short run, the low-tech manufacturing industries will suffer greater shocks, with a decline of output growth in 2021 by 6.0%. The growth rate of the high-tech manufacturing industry showed an increasing trend of 3.7% in 2021. (2) In the post-epidemic period, the total manufacturing output will return to the baseline level, from which the growth rate of low-tech manufacturing will rebound, demonstrating a V-shaped development trajectory. (3) From the perspective of Global Value Chain (GVC), the participation in GVCs of manufacturers in countries along the Belt and Road, the European Union and the United States will weaken, while China’s manufacturing industry has witnessed an obvious improvement in export competitiveness. The import added value of China has decreased, which shows that its ability to meet domestic demand has been improving. This indicates that the COVID-19 pandemic is providing a crucial opportunity for China to upgrade its manufacturing value chain, which contributes to the accelerated construction of a new dual-cycle development pattern.


2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Ashoo Sachdeva

India, one of the fastest growing economies with a projected GDP growth rate of nearly 9% is also expected to produce the most new multinational companies, overtaking China as potentially the emerging world’s largest source of new multinationals. On the other hand India too has undergone different economic, cultural, socio-political changes since 1990 when the economy opened its door to the world. This paper aims to study the impact of Indian multinationals on the destination countries and the effect of transnational corporation’s strategies in India on its future.


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