Determinants of Economic Growth in Japan: The Role of Foreign Direct Investment

2009 ◽  
Vol 9 (3) ◽  
pp. 1850171 ◽  
Author(s):  
Parviz Asheghian
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Annual Data ◽  
Causal Relationships ◽  
Domestic Investment ◽  
Factor Productivity ◽  
Investment Growth ◽  
Determinants Of Economic Growth

The purpose of this study is: (1) to examine the determinants of economic growth in Japan over time, and (2) to see if there is any time-series support for FDI-led growth hypothesis in Japan. To achieve these goals the study uses a model that is based on the postulates of de Mello. Employing a 35-year period of annual data, the model is estimated by using the Beach-Mackinnon technique, which corrects for autocorrelation. The estimation results suggest: (1) the major determinants of economic growth in Japan are total factor productivity, and domestic investment growth; (2) there are no causal relationships between foreign direct investment growth and economic growth in either direction; and (3) there are no causal relationships between foreign direct investment growth and total factor productivity growth in either direction.

scholarly journals Empirical Analysis of Determinants of Economic Growth: Evidence from SAARC Countries

2011 ◽  
Vol 3 (2) ◽  
pp. 115-121
Author(s):  
Muhammad Akram ◽  
Syed Shabihul Hassan . ◽  
Muhammad Farhan . ◽  
Hassan Mobeen Alam .
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
South Asian ◽  
Direct Investment ◽  
Regional Cooperation ◽  
Least Square ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Total Debt ◽  
Determinants Of Economic Growth

This study investigates the factors that determine and enhance economic growth. The factors to determine the economic growth of South Asian Association for Regional Cooperation (SAARC) countries are foreign direct investment, total debt, gross domestic investment and inflation. Simple ordinary least square is applied to analyze the determinates of economic growth with the help of panel data for 39 years with annual frequency from 1971 to 2009. The economic growth may gain boost by the factors not only by these but also many others. In this study foreign direct investment and inflation are found having inverse relationship with economic growth while gross domestic investment and total debt are found positively associated with economic growth. This study may prove useful contribution for policy making for South Asian countries.

scholarly journals Modelling Total Factor Productivity in a Developing Economy

2021 ◽  
Vol 66 (1) ◽  
pp. 75-96
Author(s):  
Joel Hinaunye Eita ◽  
Marcio Jose Pedro
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Manufacturing Sector ◽  
Official Development Assistance ◽  
Factor Productivity ◽  
Service Sectors ◽  
Positive Effect

Abstract Total factor productivity is an important driver of economic growth. It is therefore important to understand its determinants. This will help to enhance it and accelerate economic growth. The objective of this paper is therefore to investigate drivers of total factor productivity in Angola. The investigation covers the period 1995 – 2018. It is conducted for selected sectors of the economy. The results show that foreign direct investment has a positive effect on total factor productivity in all sectors. Increase in openness of the economy and depreciation the exchange rate have a positive effect on total factor productivity in the manufacturing sector. However, an increase in these two variables is associated with a decrease in total factor productivity of the primary and service sectors. The results indicate that a rise in inflation is associated with a decrease in total factor productivity in the manufacturing and service sectors. However, an increase in inflation is positively associated with an increase in total factor productivity in the primary sector. Increase in official development assistance impact negatively on total factor productivity in the primary and service sectors. This variable has a positive effect on total factor productivity of the manufacturing sector. The implication of these results is that Angola should pursue policies that attract foreign direct investment in order to ensure sustainable total factor productivity growth. The impact of other drivers such as openness of the economy, inflation, official development assistance and exchange rate depends on sectors. This implies that it is important for Angola to implement policies, which are specific to sectors. This will help to enhance the growth of total factor productivity.

scholarly journals Does Foreign Direct Investment Improve Inclusive Green Growth? Empirical Evidence from China

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 44 ◽  
Author(s):  
Songping Zhu ◽  
Azhong Ye
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Impulse Response Function ◽  
Growth Index ◽  
Factor Productivity ◽  
Green Growth ◽  
The Impact

Inclusive green growth is a sustainable development mode in pursuit of economic growth, social equity, and environmental protection. At present, a large number of articles have discussed the impact of foreign direct investment (FDI) on economic growth, green growth, and inclusive growth. However, the research about inclusive green growth is mainly descriptive. This paper constructs China’s inclusive green growth index and analyzes the impact of FDI on inclusive green growth in China. Specifically, by constructing a super efficiency slacks-based measure model (which has two undesirable outputs: income disparity and environmental pollution) to calculate the Inclusive green growth index, this paper compares and analyses the differences and regional characteristics of China’s total factor productivity, inclusive total factor productivity, green total factor productivity, and inclusive green total factor productivity. We find that total factor productivity is decreasing after considering undesirable output, and the traditional total factor productivity is higher than the inclusive green total factor productivity by 0.112; at the regional level, the trend of the total factor productivity is gradually decreasing from east to west, which indicates that there are regional differences in inclusive green growth of China, and there is room for improvement. Meanwhile, we construct a panel vector autoregressive model (PVAR) and use generalized impulse response function and variance decomposition to analyse the influence of FDI on China’s inclusive green total factor productivity. The results show that FDI is beneficial to the promotion of inclusive green total factor productivity in China, and environmental pollution in the FDI process is an important factor hindering the inclusive green total factor productivity.

scholarly journals Determinants of Fixed Foreign Direct Investment in Botswana

2012 ◽  
Vol 4 (7) ◽  
pp. 414-422 ◽  
Author(s):  
Seloinyana Elizabeth Selelo
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Foreign Direct Investment ◽  
Growth Rates ◽  
Direct Investment ◽  
Annual Data ◽  
Investment Incentives ◽  
Domestic Investment ◽  
Economic Growth Rates ◽  
The Impact

In this article, we explain the determinants of foreign direct investment in Botswana for the period 1980–2007. The government of Botswana has over the years provided investment incentives to attract foreign direct investment (FDI) into the country but, despite these efforts, FDI has continued to be relatively low and skewed towards mining, especially diamond mining. Recent literature on investment is silent on the impact of economic growth rates on FDI inflows in developing countries such as this one. We examined economic variables that determined FDI in Botswana, and our study used the accelerator theory of investment to uncover the effects of FDI on the nation’s economy. The dependent variable, FDI is expressed as a function of GDP growth rates, human capital, terms of trade, domestic investment, and government expenditure. We used time series annual data from Botswana Central Statistics Office (CSO) and employed both the co-integration and vector error correction model to find the short-term and long-term effects of FDI. The econometric results showed that economic growth rates better explains FDI flows in Botswana. The significance of economic growth is consistent with the acceleration theory of investment. This finding confirms that the accelerator theory is useful as a policy tool for planning investment outlay in developing countries. The findings are also useful for policy-makers in shading light on investment determinants that could be employed to achieve more FDI in Botswana.

Does foreign direct investment spillover total factor productivity growth? A study of Indian drugs and pharmaceutical industry

2017 ◽  
Vol 24 (7) ◽  
pp. 1937-1955 ◽  
Author(s):  
Nitin Arora ◽  
Preeti Lohani
Keyword(s):  
Foreign Direct Investment ◽  
Pharmaceutical Industry ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Spillover Effect ◽  
Foreign Firms ◽  
Factor Productivity ◽  
Content Type ◽  
Domestic Firms ◽  
Tfp Growth

Purpose Foreign firms have certain advantages which may spillover to domestic firms in the form of improvements in total factor productivity (TFP) growth. The purpose of this paper is to empirically observe the presence of TFP spillovers of foreign direct investment (FDI) to domestic firms through analyzing source of TFP growth in Indian drugs and pharmaceutical industry. Design/methodology/approach This paper examines the sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry over the period 1999 to 2014. The data of 304 firms has been used for estimation of the growth rates of TFP and its sources under stochastic frontier analyses based Malmquist productivity index framework. For frontier estimation, the Wang and Ho (2010) model has been executed using translog form of production function. Findings The results show that there exists significant TFP spillover effect from the presence of foreign equity in drugs and pharmaceutical industry of India. The results also show that the major source of TFP fluctuations in the said industry is managerial efficiency that has been significantly affected by FDI spillover variables. In sum, the phenomenon of significant Intra-industry (horizontal) efficiency led productivity spillovers of FDI found valid in case of Indian drugs and pharmaceutical industry. Research limitations/implications The number of foreign firms is very less to imitate the significant impact of foreign investment on TFP growth of Indian pharmaceutical industry at aggregated level; and the Wang and Ho (2010) model is failing to capture direct impact of FDI on technological change under Malmquist framework. Practical implications Since, there exists dominance of domestic firms in Indian drugs and pharmaceutical industry, the planners should follow the policy which not only attract FDI but also benefit domestic firms; for example, developing modern infrastructure and institution which will further help domestic firms to absorb spillovers provided by the Multinational Corporations and also accelerate the growth and development of the economy. Social implications In no case, the foreign firms should dominate the market share otherwise the efficiency spillover effect will be negative and the domestic firms will be destroyed under the self-centric approach of foreign firms protected by the recent patent laws. Originality/value The study is a unique attempt to discuss the production structure and sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry with such a wide coverage of 304 firms over a period of 16 years under Wang and Ho (2010) model’s framework. The existing studies on TFP spillovers are using either a small sample size of firms or based upon traditional techniques of measuring spillover effects.

scholarly journals The Relationship Between Public Expenditures, Total Factor Productivity and Economic Growth: A Panel Data Analysis

2021 ◽  
Author(s):  
Remzi Can Yılmaz ◽  
Ahmet Rutkay Ardoğan
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Statistical Significance ◽  
Data Availability ◽  
Public Expenditures ◽  
Annual Data ◽  
Factor Productivity ◽  
The Relationship

According to the economics literature, there are two main sources of economic growth. While the first of the resources is the accumulation of production factors, the other is the part of the output that cannot be explained by the amount of input used in production, in other words, the total factor productivity. The level of total factor productivity is measured according to how efficiently the inputs are used in the production process. In this study, the hypothesis that public spending affects real economic growth through total productivity is investigated. In the first stage, whether the changes in public expenditures affect the total factor productivity or not; if it does, to what extent and in what direction it has been tried to be revealed. In the second stage, the effect of total factor productivity on economic growth was examined and the statistical significance, direction and extent of the relationship between variables were investigated. Annual data were used in the study and the year range is 2000-2017. The sampling economies were selected according to data availability, and there are a total of 20 developed and developing economies. Research was conducted using multiple panel regression analysis. According to the findings, the relationship between public expenditures and total factor productivity is statistically significant. An increase in public expenditures reduces the total factor productivity. The relationship between total factor productivity and economic growth is statistically significant, and an increase in total factor productivity also increases economic growth. An increase in public expenditures affects economic growth negatively by reducing the total factor productivity.

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