scholarly journals The Differential Effects of Foreign Investments on Sectoral Growth

CONVERTER ◽  
2021 ◽  
pp. 674-688
Author(s):  
Cheng Hui Fang, Agbanyo George Kwame

Previous studies on the effect of FDI on sectoral growth are far from reaching a consensus. This paper, using a panel data of 35 countries between 1990-2019, aims at investigating the differential effects of foreign direct investment modes of entry into the economic sectors. Through the systems generalized method of moments methodology, this study found that the impact of foreign investment on growth corresponds directly with the absorptive capacity of the host country. Meanwhile,M&A is a better economic booster than greenfield investment. The results also suggest that foreign investment is a significant agent of economic growth in the service sector, relatively weak in the manufacturing sector and insignificant in the agriculture sector. Also, M&A seems to spillover more easily than greenfield across sectors, and natural resources are not very good channels to transmit foreign investment into economic growth.

Media Trend ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 275-282
Author(s):  
Abdul Khafidzin ◽  
Nurul Istifadah

Sectoral economic growth affects the level of poverty in the area. High economic growth does not merely reduce poverty. Equitable distribution of income is also a matter that needs to be considered in line with increased economic growth. High economic growth is the process of accumulation of sectoral economic growth that has undergone a structural shift in its journey. Changes in economic structure are marked by a decrease in the contribution of the agricultural sector and an increase in the contribution of the industrial sector, both in gross domestic product (GDP) and in employment. Economic growth needs to be directed towards economic sectors that are effective in reducing poverty and creating equitable distribution of income. The purpose of this study is to answer the question of how the influence of sectoral economic growth on poverty in East Java. For this purpose the panel data regression model is used. The selection of variables is based on research objectives. Agriculture sector GRDP (VP), industrial sector GRDP (VI) and service sector GRDP (VJ) represent sectoral economic growth. The results of the test show an increase in the contribution of the industrial sector effectively reduces poverty. In other words, between the agriculture, industry and services sectors, only the industrial sector has positive and significant parameters for poverty in East Java.


2019 ◽  
Vol 5 (1) ◽  
pp. 45 ◽  
Author(s):  
Akomolafe Kehinde John

This paper examines the causality between electricity consumption and economic growth in Nigeria, with a focus on sectorial analysis. The sectors considered are manufacturing sector, agriculture sector, and the service sector. The study covers the periods from 1981 to 2014. The study was done in a vector error correction model (VECM). The results show that the causality run from  manufacturing sector to electricity consumption in long run, but a bidirectional causality in the short run, from electricity consumption to service sector output  in the long run, and  from electricity consumption to service sector output in long run. There is no short run causality between electricity consumption and service sector and agricultural sectors outputs. The paper concludes with the recommendation that government should be careful in implementing electricity conservation policy


2019 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Ahmad Habibi Harahap ◽  
Eko Wahyu Nugrahadi

Economic growth of North Sumatera Province is not quite on the top of optimum. If the compared by some of others province in Indonesia and by  all of his potention, the North Sumatera Province only on the 10th rank of economic growth in Indonesia in 2009-2013 period. The purpose of this study is toanalyze the economic sectors which are the basis in each district/city in North Sumatera province and to determine the structure of economic growth in the district /city both sectoral and aggregate the province of North Sumatera. Structural transformation to some extent will have an impact on overall economic growth. Analysis tools used in this study is Location Quetiont (LQ), Growth Ratio Model (MRP), overlay analysis, and shift share analysis. Results of this study showed that the agriculture sector is a sector which is the basis in nearly 13 districts/cities in North Sumatera Province. But the growth in agriculture, processing industries, mining and quarrying, and the electricity, gas & water supply sector likely slowed, otherwise all tertiary sectors which include: trade, hotels, and restaurants; transportation and communication, finance, leasing, and services company, and the services sector is likely to experience growth positive. Transportation and communication is a sector with the highest growth occurring in North Sumatera Province. Shift Share Analysis results showed that in the Province of North Sumatera is going structural transformation characterized by decreasing the role of the agricultural sector, and the increasing role of the service sector. This condition as well as contrary to the Kuznets theory which states that the process of structural transformation contribution marked by shifting agriculture to manufacturing and then to services sector.


2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Ahmad Habibi Harahap

Economic growth of North Sumatera Province is not quite on the top of optimum. If the compared by some of others province in Indonesia and by  all of his potention, the North Sumatera Province only on the 10th rank of economic growth in Indonesia in 2009-2013 period. The purpose of this study is toanalyze the economic sectors which are the basis in each district/city in North Sumatera province and to determine the structure of economic growth in the district /city both sectoral and aggregate the province of North Sumatera. Structural transformation to some extent will have an impact on overall economic growth. Analysis tools used in this study is Location Quetiont (LQ), Growth Ratio Model (MRP), overlay analysis, and shift share analysis. Results of this study showed that the agriculture sector is a sector which is the basis in nearly 13 districts/cities in North Sumatera Province. But the growth in agriculture, processing industries, mining and quarrying, and the electricity, gas & water supply sector likely slowed, otherwise all tertiary sectors which include: trade, hotels, and restaurants; transportation and communication, finance, leasing, and services company, and the services sector is likely to experience growth positive. Transportation and communication is a sector with the highest growth occurring in North Sumatera Province. Shift Share Analysis results showed that in the Province of North Sumatera is going structural transformation characterized by decreasing the role of the agricultural sector, and the increasing role of the service sector. This condition as well as contrary to the Kuznets theory which states that the process of structural transformation contribution marked by shifting agriculture to manufacturing and then to services sector.


Author(s):  
Imam Wahyudi Indrawan ◽  
Maya Puspa Rahman

Malaysia is a well-known Islamic finance hub with a growth trend in its Islamic financial assets. The growth of the Malaysian economy since independence has also been commendable, with a rising contribution from Islamic banking and finance. This study offers a different perspective by undertaking a sectoral analysis on the impact of Islamic banks in Malaysia. It aims to fill the gap in the literature by investigating how Islamic bank financing (IBF) affects economic growth in Malaysia, both overall and at the sectoral level. Three sectors are observed in this study: agriculture, industry and services. Both long-run and short-run analyses are undertaken for the data period 2007Q1 to 2018Q4. The Autoregressive Distributed Lag (ARDL) method is utilised where IBF is found to significantly and positively affect the economic growth of Malaysia, at the overall and sectoral level. Nonetheless, there is a negative relationship in the agriculture sector and no cointegration in the industry sector. The results of this study are expected to provide insights for policymakers in encouraging more optimalIslamic financing to economic sectors in Malaysia.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Derrick Anquanah Cudjoe ◽  
He Yumei ◽  
Hanhui Hu

PurposeThis study examines the impact of China’s trade, aid and foreign direct investment (FDI) on the economic growth of Africa.Design/methodology/approachOur study covered 41 countries in Africa, cutting across the western, eastern, central, southern and northern sub-regions. The study adopted the dynamic system generalized method of moments (SGMM), feasible generalized least squares (FGLS) and Dumitrescu–Hurlin Panel Granger causality techniques for estimations.FindingsOverall, FDI, trade and aid from China have a nonlinear relationship with Africa’s economic growth. The findings reveal a key novelty in that the marginal effect on real per capita GDP increases when China’s FDI interacts with the manufacturing sector in Africa. These findings are robust to long-run estimations.Research limitations/implicationsGiven that we have examined the short-and long-run symbiotic effects of China’s FDI and Africa’s manufacturing sector and China’s aid and Africa’s manufacturing sector, more studies are warranted in this area, particularly to produce further empirical evidence of these findings. Moreover, future work could focus on investigating the country-specific effects of China’s trade, China’s FDI and China’s aid on real GDP per capita in each African country as our results reflect within-country elasticities.Originality/valueThis study provides new evidence on the impact of China’s trade, aid and FDI on the growth of African economies. To the best of our knowledge, this is the first study to empirically explore the long-run effects of China’s trade, FDI and aid on economic growth in African countries. This study also tests the claim of the displacement of Africa’s manufacturing industry by its Chinese counterparts.


Author(s):  
Arjun Kumar Dahal ◽  
Khagendra Kumar Thapa

Purpose: The purpose of this study is to find out the condition of priority of commercial banks to provide loans to the agricultural sector and to find the relationship and impact of agricultural loans to the agricultural GDP of Nepal. Objectives: This study aims to compare the condition of loan disbursements in agricultural and manufacturing sectors. It further aims to compare loan percent with growth and contribution to the GDP of the agricultural and industrial sectors and tries to show the impact of agricultural loans to the agricultural GDP of Nepal. Methods: It was based on a descriptive and analytical research design. Statistical tools standard deviation, correlation, regression, etc. are used and Excel, and EViews software are used for the statistical calculations. Statistical calculations and graphs are simultaneously used to show and compare the condition of variables. Results: Commercial banks give higher priority to the manufacturing sector for loans than the agricultural sector. The Johansen Co-integration test indicates no long-run relationship between loans of commercial banks and agricultural output in Nepal. However, the least-squares method, it indicates that a positive causal relationship between agricultural loans and agricultural growth. Implications: The loans of commercial banks directly stimulate the growth of agriculture but the amount of growth is less noticeable. Thus, it is concluded that the commercial bank's loan alone cannot affect and control the growth of the agricultural sector of the Nepalese economy therefore the government should increase its expenditure on the agricultural sector.


Author(s):  
Okumoko Tubo Pearce ◽  
Cookey Ibeinmo Friday ◽  
Question Emomotimi Mcdonald

This work examines the impact of intangible assets on economic growth in Nigeria, using time series data from 1990 to 2019. Relevant theoretical and empirical literatures were reviewed. Government expenditure on research and development, intellectual capital proxied by human capital stock, intellectual property and service sector employment were regressed as independent variables against the real GDP (proxy for economic growth) as the dependent variable. Secondary data were used for this work. The ARDL bound test was adopted in estimating the model. We discovered that government expenditure on R&D, intellectual capital and intellectual property do not have significant relationship with economic growth proxied by RGDP; meanwhile service sector employment had a significant relationship with economic growth in Nigeria. Also, government expenditure on R&D; and service sector employment were rightly signed; while intellectual capital and intellectual property were not rightly signed. This implies that when government increases its expenditure on R&D, it will result to economic growth, so also service sector employment in the long-run. Meanwhile, an increase in intellectual capital and intellectual property will reduce RGDP. We therefore propose that government should upgrade its spending on R&D so as to boost intellectual capital and property. The government should also create employment for the stock of human capital. Finally, government institutions such as producers’ protection agencies should be empowered to protect intellectual properties in Nigeria.


2021 ◽  
Vol 10 (3) ◽  
pp. 169-176
Author(s):  
Mohammed Ali Al-Rimawi ◽  
Thair Adnan Kaddumi

How is stock market price volatility affected, and what is the nature of the impact that macroeconomic variables do on the stock market price direction? The main objective of this study is to investigate the impact of some selected macroeconomic variables (inflation rate (INR), interest rate (IR), economic growth rate (EGR), and foreign investment (FI)) on Amman Stock Exchange (ASE) fluctuation for the period 1999–2018. The information is based on the annual data published by industrial companies listed at ASE. The study adopted a descriptive-analytical approach, also simple and multiple linear regression analysis was employed for the mentioned purpose (Nurfadilah & Samidi, 2017). The results revealed that there is no statistically significant impact of INR, IR, EGR, and FI collectively on ASE performance (Niewińska, 2020). Individually, the results indicated that there is a statistically significant impact of all variables (INR, IR, EGR, and FI) on ASE performance. Additionally, the results concluded that foreign investment, portrayed the highest impact factor on ASE performance, followed by a change in average interest rate, then inflation rate, and the least impact attributes to the economic growth rate. Finally, the research recommends that Jordanian banks should reduce the lending interest rate to enhance investment in securities and improve economic growth rate, also Jordanian authorities should encourage foreign direct and indirect investment and make more efforts to attract more foreign investment, either in the form of tax incentives or by extending finance at low-interest rates.


Economies ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 78
Author(s):  
Daryn Joy Go ◽  
Michael Angelo Promentilla ◽  
Kathleen Aviso ◽  
Krista Danielle Yu

Economic sectors play a vital role in ensuring that government’s goals are achieved. This study analyzes the evolution of the structure and key sectors of an economy through the use of a sector prioritization index. This methodology integrates input-output analysis and analytic hierarchy process to determine the structural changes experienced by the economy, while accounting for the changes in the government’s priorities and concerns over time. Using the case of the Philippines from 1969 to 2012, this study shows a time-series analysis of the transformation that the economy underwent alongside with the government’s prioritization mechanism. We found that the manufacturing sector had consistently received high-priority rankings, while the agriculture sector had recently moved from a high- to mid-priority ranking, indicating the country’s shift towards a more industry-driven economy. These findings were supported by the private services and trade sectors’ high-priority rankings towards the latter half of the time period. Overall, our methodology was able to identify key sectors that reflect the country’s economic and political situation across different eras.


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