scholarly journals Tracing Value Added in the Presence of Foreign Direct Investment

2021 ◽  
Author(s):  
Zhi Wang ◽  
Shang-Jin Wei ◽  
Xinding Yu ◽  
Kunfu Zhu
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Value Added

Corporate Taxes and Foreign Direct Investment: An Impact Analysis

2020 ◽  
Vol 5 (2) ◽  
pp. 28-43
Author(s):  
Onome Christopher Edo ◽  
Anthony Okafor ◽  
Akhigbodemhe Emmanuel Justice
Keyword(s):  
Foreign Direct Investment ◽  
Error Correction ◽  
Direct Investment ◽  
Impact Analysis ◽  
Negative Relationship ◽  
Value Added ◽  
Positive Association ◽  
Error Correction Model ◽  
Corporate Taxes ◽  
Correction Model

Objective – The purpose of this study is to investigate the effect of corporate taxes on the flow of Foreign Direct Investment (FDI) in Nigeria between 1983 and 2017. Methodology/Technique – This study adopts an ex-post facto research design. Secondary data was sourced from the World Bank Development Indicator, the Central Bank of Nigeria database, and the Federal Inland Revenue database. The research data was analyzed using the Error Correction Model (ECM). Findings – The coefficient of determination (R2) shows that approximately 77% of systematic changes in FDI are attributed to the combined effect of all of the explanatory variables used in this study. Specifically, the study concludes that Company Income Tax, Value Added Tax, and Custom and Excise Duties have a significant but negative relationship with FDI. In contrast, Tertiary Education Tax has a positive association with FDI. Further, Exchange Rate has a negative but significant relationship with FDI, Inflation had an insignificant but positive association with FDI, and GDP growth Rate and Trade Openness demonstrate a positive and significant association with FDI. Novelty – The findings of this study are distinguishable from previous studies, as it uncovers new evidence that higher Education Tax Rates influences FDI and emerging evidence on the effect of non-tax variables on FDI inflow. Type of Paper: Empirical. JEL Classification: E22, F21, H2, P33. Keywords: Corporate Taxes; Foreign Direct Investment; Error Correction Model; Nigeria; Non-Tax Variables. Reference to this paper should be made as follows: Edo, O.C; Okafor, A; Justice, A.E. 2020. Corporate Taxes and Foreign Direct Investment: An Impact Analysis, Acc. Fin. Review 5 (2): 28 – 43. https://doi.org/10.35609/afr.2020.5.2(1)

Nexus Between FDI, Agriculture, and Rural Development: Evidence from Asian Countries

2021 ◽  
Vol 11 (4) ◽  
pp. 311-319
Author(s):  
Sujan Chandra Paul ◽  
Nusrat Jahan ◽  
Ashim Kumar Nandi ◽  
Md Asiqur Rahman
Keyword(s):  
Foreign Direct Investment ◽  
Rural Development ◽  
Direct Investment ◽  
Agricultural Land ◽  
Negative Relationship ◽  
Value Added ◽  
Time Frame ◽  
Negative Association ◽  
Female Employment ◽  
Asian Countries

The aim of this study is explore the effect of foreign direct investment on agriculture and rural development. For this, panel data of 46 countries from Asia were accumulated for the time frame 1991–2018. The models OLS, POLS, 2SLS, and GMM are employed in this study. The study reveals that there is a favorable association between foreign direct investment and agricultural land as percentage of total land using the models OLS, POLS, 2SLS. In stark contrast, value added for agriculture, forestry, and fishing has an unfavorable association with foreign direct investment in all models employed in the study. Furthermore, female employment in agriculture has a negative association with foreign direct investment in OLS, 2SLS and GMM models, whereas male employment in agriculture has a negative association with foreign direct investment in the POLS model only. Land under cereal production has a favorable association with foreign direct investment in all models except POLS, and permanent cropland has a favorable association with foreign direct investment in all models except GMM. In addition, rural population has a positive relationship with foreign direct investment in OLS, POLS and 2SLS and a negative relationship with foreign direct investment in GMM.

Tracing Value Added in the Presence of Foreign Direct Investment

2021 ◽  
Author(s):  
Zhi Wang ◽  
Shang-Jin Wei ◽  
Xinding Yu ◽  
Kunfu Zhu
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Value Added

scholarly journals Modeling the impact assessment of agricultural sector on economic development as a basis for the country’s investment potential

2019 ◽  
Vol 16 (3) ◽  
pp. 229-240
Author(s):  
Alina Bukhtiarova ◽  
Arsen Hayriyan ◽  
Victor Chentsov ◽  
Sergii Sokol
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Agricultural Sector ◽  
Negative Impact ◽  
Manufacturing Sector ◽  
Value Added ◽  
The Cost ◽  
The Impact

In the context of countries integration into the world economic space, agricultural sector is one of the priorities and strategically important sectors of the national economy. Development of instruments aimed to increase investment potential of this sector is therefore an important component of the country’s economy growth. The article proposes a science-based model of the impact of the agricultural sector on the economic development level of countries trying to move towards European integration.It was found that the employment rate (+58.4) has the largest influence on the rate of GDP change in the studied group of countries (Ukraine, Moldova, Georgia, Armenia). The impact of the gross value added of the manufacturing sector on its economic growth is positive (+44.6). The negative foreign direct investment ratio in the model (–40.3) may be due to the fact that the indicator in the studied countries is still largely influenced by the intervention of the state mechanism, significant uncertainty and risk, which is a deterrent to the overall economic development. An important result of the study was that foreign direct investment had a negative impact on economic growth in developing countries. Further development of the investment potential of a country’s agricultural sector provides for a radical acceleration of scientific and technological progress and, on this basis, a reduction in the cost of a unit of agricultural products and food and an increase in their competitiveness in the domestic and world markets.

scholarly journals La Educación Como Determinante Del Crecimiento Económico De México, 1990-2014

2018 ◽  
Vol 14 (13) ◽  
pp. 147
Author(s):  
Antonio Favila-Tello
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Regression Model ◽  
Direct Investment ◽  
Birth Rate ◽  
Technological Development ◽  
Value Added ◽  
Ordinary Least Squares ◽  
Indirect Relationship ◽  
Determining Factor

This paper seeks to test two hypotheses: the first one indicates that education was a determining factor of the economic growth of Mexico during the period 1990-2014. The second one seeks to prove the strength of this relationship through a regression model by Ordinary Least Squares where Mexican economic growth is determined by education, gross capital formation, exports, Foreign Direct Investment, industry value added, the birth rate, and the technological development. The results suggest that education and economic growth maintain an indirect relationship that is weak against the introduction of more variables to the model and that the most significant determinants of Mexican economic growth between 1990 and 2014 were the industry value added, the technological development and the reduction of the birth rate.

scholarly journals Foreign direct investment as a stimulant in productivity convergence process between Visegrad Countries and UE-15

2017 ◽  
Vol 6 (326) ◽  
Author(s):  
Liwiusz Wojciechowski
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Foreign Capital ◽  
Value Added ◽  
Developed Countries ◽  
Real Convergence ◽  
Convergence Process ◽  
Savings Rate ◽  
Visegrád Countries

The explanation of reasons and degree of differentiation of wealth between countries remains an important issue in economics today. Theories of economic growth are focused principally on the identification of the long-term determinants of diversification of sources and economic growth, which in turn is associated with the notion of real convergence. Given the supply role of foreign capital that impacts on the economy, in the face of dynamic inflow of foreign direct investment (FDI) into developing countries’ economies, it seems reasonable to include it in convergence process modelling, especially in the modelling of the convergence of productivity. The productivity of the economy is in fact determined by the size of the capital accumulation (both domestic and foreign), savings rate and a number of other conditions. The author hypothesized that the presence of FDI contributes to the acceleration of pace of real convergence between Visegrad countries and EU-15. In this study we estimate interactions between FDI and productivity at both national and NACE level in the years 2000–2014. We concider, in panel data form, among others, productivity in terms of gross value added per employee, degree of penetration of FDI in the economy of the host country. Results suggest conditional β-convergence of productivity existence however they vary across countries, sectors and time. The analysis provides recommendations regarding the arguments for the sectoral policy aimed at encouraging foreign capital to increase its involvement, focusing on reducing productivity gap between the developing and developed countries belonging to European Union.

FOREIGN DIRECT INVESTMENTS AND MANUFACTURING SECTOR PERFORMANCE IN NIGERIA, (1970-2009)

2013 ◽  
Vol 03 (04) ◽  
pp. 39-56
Author(s):  
Adejumo Akintoye Victor
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Value Added ◽  
Foreign Direct Investments ◽  
Long Run ◽  
Negative Effect ◽  
Sector Performance ◽  
The Relationship

The study examined the relationship between foreign direct investment and the value added to the manufacturing industry in Nigeria, between the period 1970 and 2009. In view of the development and industrialising desires of Nigeria, as well as the foreign aid received in form of private investments, it is pertinent to examine the effect the presence of multinationals has had in shaping the Nigerian manufacturing industry. Using the autoregressive lag distribution technique to determine the relationship between foreign direct investment and manufacturing value added, it was discovered that in the long-run, foreign direct investments have had a negative effect on the manufacturing sub-sector in Nigeria.

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