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1 – 10 of over 2000
Article
Publication date: 30 December 2022

Madhabendra Sinha, Darius Tirtosuharto, Anjan Ray Chaudhury and Partha Basu

The paper aims to empirically examine the impact of foreign direct investment (FDI) inflows and digitalization on employment opportunities in selected 70 developing economies…

Abstract

Purpose

The paper aims to empirically examine the impact of foreign direct investment (FDI) inflows and digitalization on employment opportunities in selected 70 developing economies across the world over the period of 2001–2019. The same empirical investigations are also carried out on two groups of these developing countries created on the basis of the levels of FDI inflows and digitalization.

Design/methodology/approach

The study uses various panel unit root tests followed by the estimations of the generalized method of moments in the dynamic panel framework, using secondary data collected from the World Bank (2020), International Labour Organization (2020) and International Telecommunication Union (2020).

Findings

Empirical findings reveal that both FDI inflows and digitalization have positive effects on employment; however, the extent of the impact of digitalization is greater than that of FDI inflows in developing economies, mostly in countries with relatively low FDI inflows and low digitalization.

Originality/value

Conventionally, FDI inflows accelerate economic growth and thus improve the labour market in host countries. However, FDI inflows into developing countries with low-skilled labours may limit job creation, particularly during the process of digitalization. This study shows that despite a much moderate impact of FDI inflows, digital transformation supports a higher employment in developing economies with low level of FDI inflows and digitalization.

Details

Studies in Economics and Finance, vol. 40 no. 4
Type: Research Article
ISSN: 1086-7376

Keywords

Article
Publication date: 17 March 2023

Vandana Goswami

The present paper makes an attempt to investigate the determinants that affect FDI inflows distribution among Indian states. Together with traditional determinants, the impact of…

Abstract

Purpose

The present paper makes an attempt to investigate the determinants that affect FDI inflows distribution among Indian states. Together with traditional determinants, the impact of institutional determinants on state-level FDI inflows distribution in India has been analysed.

Design/methodology/approach

The study uses panel data for a period of 20 years (2000–2019) for 17 groups of Indian states (29 states and 7 UTs). The empirical evidence is based on the panel data method and the findings support Dunning's OLI theory. As the data for some indicators for the institutional environment is not available at the state level, hence we used component analysis to arrive at the single component for the institutional factor. The study takes into account corruption, legal system, industrial disputes, man-days lost, labour availability, political risk, protection of IPR and agglomeration as potential macroeconomic and institutional determinants.

Findings

Results show that FDI inflows into Indian states is driven mainly by institutional environment. From our analysis, the author infers that the institutional variables such as legal system, IPR, corruption, political instability play an important role in determining the distribution of FDI inflows at the state level in India. Together with that GFCF and agglomeration are also important determinants of state-wise FDI inflows.

Research limitations/implications

The major limitation of the study is that it doesn't include moderated impact of economic and institutional determinants of FDI inflows in Indian states, which can be an avenue for future research. Future research can also carried out taking district-level data to further examine the determinants at district level in India.

Originality/value

The contribution of the present paper is three-fold, first, the author constructs a measure of different institutional variables, after normalization of data for the period 2000–2019, and the author choose the highest explaining factor with the highest variance explained then we constructed the indices for select variable, which further has been used in the panel data analysis technique. The author has found that macroeconomic variables, as well as institutional variables, are significant to attract FDI at the state level in India. The paper shows that corruption, political risk, IPR and legal system are the major institutional determinants of FDI inflows in India at the state level. States with higher domestic investment attract more FDI inflows, moreover, agglomeration is a very important determinant as the investors are more confident in investing at the same location, the reason behind this may be that the investors want to avoid the registration procedure for new land, administrative formalities or they feel more secure at the same place and keen to invest at the same place again.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 13 May 2021

Abdulazeez Y.H. Saif-Alyousfi

This paper aims to examine and compare the impact of foreign direct investment (FDI) inflows on bank deposits in aggregate as well as at the level of conventional and Islamic…

Abstract

Purpose

This paper aims to examine and compare the impact of foreign direct investment (FDI) inflows on bank deposits in aggregate as well as at the level of conventional and Islamic banks in Middle East and North Africa (MENA) countries. The study also tests hypotheses of direct and indirect impacts of FDI flow and FDI stock on bank deposits.

Design/methodology/approach

Static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied to analyze a large data set of 491 commercial banks (422 conventional banks and 69 Islamic banks) across 18 MENA countries between 1993 and 2017 (12,275 year observations).

Findings

Empirical results indicate that inflowing FDI flow and FDI stock have a significant negative direct impact on deposits of MENA banks. The results lend support for the direct channel hypothesis for the effect of FDI on bank deposits and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank deposits directly via increased FDI-related excessive competition in the banking market. Deposits from conventional banks appear to be more affected than those from Islamic banks. The variation may due to the fact that Islamic banks have fewer multinational corporations (MNC) customers than conventional banks and therefore are less sensitive to fluctuations in FDI.

Practical implications

From this analysis, this study concludes that foreign investments have a higher productivity than local investments in MENA region. Attracting more FDI is aimed at increasing overall national productivity through competition. However, governments would be wise to enact such a policy to maximize benefits and minimize potential harm to local industry. Furthermore, FDI policy should encourage small to medium-size banks and firms (SMEs)’ participation and linkage with multinational banks and MNCs, while upgrading research and development institutions and innovation activities to help SMEs to benefit from potential spillovers from foreign presence in the industry. In addition, the linkage and connection between SMEs and foreign firms should be strengthened and promoted by government policy.

Originality/value

This study is the first of its kind to examine the effect of FDI inflows on bank deposits. It also provides an in-depth quantitative analysis of the impact of FDI flow and FDI stock, separately, on bank deposits for both conventional and Islamic banks. It distinguishes between direct and indirect channels through which FDI inflows may affect bank deposits. The study analyzes 25 years of panel data for 491 banks (12,275 year observations) and uses both static and dynamic panel GMM estimation techniques to analyze the data.

Details

Competitiveness Review: An International Business Journal , vol. 32 no. 6
Type: Research Article
ISSN: 1059-5422

Keywords

Article
Publication date: 14 October 2020

Muhammad Tahir and Md Badrul Alam

This paper empirically examines the perceived relationship between banking sector performance and FDI inflows, thereby highlighting an underexplored area in the existing…

Abstract

Purpose

This paper empirically examines the perceived relationship between banking sector performance and FDI inflows, thereby highlighting an underexplored area in the existing literature.

Design/methodology/approach

To provide evidence from the South Asian context, this study selected five economies of the same region based on the data availability. A panel dataset, collected from the internationally reliable sources for the period 1998–2017, is analyzed with the help of different econometric techniques, including pooled least squares, fixed effects, generalized least square and two stages least squares.

Findings

The results indicate a significant negative relationship between banking sector performance and FDI inflows while demonstrating a significant positive association of inflation and trade openness with FDI inflows Moreover, higher per capita income, which is one of the indicators of a growing economy, exerts a statistically significant positive impact on FDI inflows. Finally, institutional factors have not played a significant role in attracting FDI in the sampled countries.

Practical implications

The results demonstrate a unique outcome from the perspective of the relationship between banking sector performance and FDI inflows, and hence policymakers of the developing countries in general and South Asian countries in particular would benefit from the current study significantly.

Originality/value

The obtained results are original as we have provided comprehensive evidence on the relationship between FDI and banking sector performance in the SAARC context for the first time.

Details

International Journal of Emerging Markets, vol. 17 no. 2
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 10 November 2020

Fatma Taşdemir

This paper investigates the main drivers of foreign direct investment (FDI) inflows for a balanced panel of 11 Middle East and North Africa (MENA) economies over the 1995–2017…

Abstract

Purpose

This paper investigates the main drivers of foreign direct investment (FDI) inflows for a balanced panel of 11 Middle East and North Africa (MENA) economies over the 1995–2017 annual period. The author postulates that the impacts of the main pull (growth) and push (global financial conditions, GFC) factors may not be invariant to endogenously estimated thresholds for structural domestic conditions (SDCs) including trade and capital account openness, financial development, human capital (HC) and natural resource endowments.

Design/methodology/approach

The author investigates whether the main SDC provide endogenous thresholds for the impacts of basic pull and push factors on FDI inflows for the MENA sample by employing panel fixed effects threshold procedure of Hansen (1999). As a robustness check, the author also present the results of the dynamic panel data two-step system generalized method of moments (GMM) estimation, which explicitly consider the potential endogeneity of SDC along with main pull factor for the evolution of FDI inflows.

Findings

Growth, GFC and SDC are important drivers of FDI inflows. The impacts of SDC tend to be higher in countries with higher financial depth, openness to international trade and finance and lower natural resource and HC endowments. The sensitivities of FDI inflows to GFC are substantially higher in the countries which are more open to international trade and capital flows and higher levels of financial depth. FDI inflows are found to be pro-cyclical and this pro-cyclicality tends to be much higher for the episodes exceeding the SDC thresholds.

Practical implications

Improving SDC including higher openness to international trade and finance and financial development may be effective in encouraging FDI inflows. The findings support an argument that, better SDC are crucially important not only for attracting FDI but also achieving the growth benefits of FDI inflows. Therefore, improving SDC appears to be an important growth-oriented policy agenda for emerging market and developing economies (EMDEs) including MENA.

Originality/value

The impacts of the main push and pull factors on FDI (and capital) inflows may be nonlinear. The literature often tackles the nonlinearity issue either by some interaction specifications or imposing exogenous thresholds. The literature, however, is yet to comprehensively investigate whether the main SDC provide endogenous thresholds for the impacts of basic pull and push factors. The author aims to contribute to the literature by estimating endogenous SDC threshold levels for the impacts of the main determinants of FDI flows for MENA.

Details

International Journal of Emerging Markets, vol. 17 no. 3
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 16 May 2016

Xinzhong Li and Seung-Rok Park

The purpose of this paper is to indicate trade characteristics of Foreign direct investment (FDI) inflows in China and examine the dynamic interaction between FDI inflows and…

1463

Abstract

Purpose

The purpose of this paper is to indicate trade characteristics of Foreign direct investment (FDI) inflows in China and examine the dynamic interaction between FDI inflows and China’s international trade through empirical analysis.

Design/methodology/approach

At first, this paper builds the probability distribution model (Poisson and negative binomial (NB)) to capture the characteristics of spatial distribution of all kinds of FDI firms in Chinese cities and provinces based on count data, so as to indicate the potentials for further introducing FDI inflows in China; Second, this paper investigates the effects of trade on FDI firms inflows based on probability regress model (Binary Logit, Tobit, NB, Poisson, zero inflated negative binomial) and shows how international trade accelerates the different kinds of FDI firms to agglomerate in Eastern, Middle and Western region by the endowments of factors; third, this paper empirically examines the magnitude and characteristics of trade effects generated by FDI inflows by building dynamic panel model based on continuous data.

Findings

First, statistical tests of probability distribution model based on count data show that there are characteristics of spatial agglomeration of FDI firms such as manufacture firm, R & D firm, managing and marketing firm and total sectors, which obey NB distribution as whole; Second, this study indicate that FDI inflows have strong positive effects on the international trade in China’s provinces and on China’s regional trade, and that most of foreign firms in China are export oriented being strongly characterized as labor-intensive industries, especially, contributions of FDI to imports are greater than the contributions of FDI to exports in China’s Middle and Western trade, and the growth of FDI trade in China’s trade volume has been strong over the past years; third, the empirical results of models based on count data and continuous data indicate that FDI inflows have significantly positive relationship with international trade, that is, the relationship between FDI and international trade in the case of China is the characteristics with complement and imports substituting relationship.

Research limitations/implications

Because of mixed data set for FDI inflows of processing and assembling trade and production-oriented FDI, efficiency-seeking and knowledge or technology – intensive FDI inflows in the past 36 years, the paper only investigate characteristics of FDI inflows in China before the turning point of financial crisis, but it is important for capturing the whole picture of trade characteristics of FDI inflows in China.

Practical implications

The derived quantitative results imply that there are still greater potentials for further introducing FDI inflows in China, and decision-maker should make policy of introducing FDI inflows which are favorable to supporting innovative activities and economic agglomeration, and preferably encourage efficiency-seeking and export-oriented FDI inflows so as enhance quality and efficiency of economic growth, which are also helpful to accelerate upgrade of Chinese industry and gradually shorten gap of growth among Eastern, Middle and Western region.

Social implications

FDI inflows in China not only stimulate the remarkable growth of bilateral trade between host country and home country, but also promote the growth of international trade between China and the rest of the world. Thus, policies of bilateral or multilateral free-trade and investment area should be encouraged, which will be also favorable to promote the growth and welfare in all the regions.

Originality/value

This paper demonstrates that spatial distributions of FDI firms in Chinese cities and provinces obey NB probability distribution pattern, and puts forward the methodology of model based on count data and continuous data. Besides, this paper quantitatively indicates trade characteristics of FDI inflows in China as well as the dynamic interaction between FDI inflows and China’s international trade.

Details

China Finance Review International, vol. 6 no. 2
Type: Research Article
ISSN: 2044-1398

Keywords

Article
Publication date: 5 May 2021

Abdulazeez Y.H. Saif-Alyousfi

The purpose of this paper is to investigate and compare the impact of FDI inflows on bank loans in aggregate as well as at the level of conventional and Islamic banks in GCC…

Abstract

Purpose

The purpose of this paper is to investigate and compare the impact of FDI inflows on bank loans in aggregate as well as at the level of conventional and Islamic banks in GCC countries. The paper also tests hypotheses of direct and indirect impacts of FDI inflow and FDI stock on bank loans.

Design/methodology/approach

The sample comprises a total of 70 banks (45 conventional and 25 Islamic banks). The period under consideration is 1995–2017. Static panel and dynamic panel GMM estimation techniques are applied.

Findings

Empirical results indicate that inflowing FDI and FDI stock have a significant negative direct impact on loans of GCC banks. The results lend support to the direct channel hypothesis for the effect of FDI on bank loans and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank loans directly via increased FDI-related liquidity, business activity or excessive competition in the banking market; they are not channeled through macro variables. Loans from conventional banks appear to be more affected than those from Islamic banks.

Practical implications

Given the attractiveness of the GCC economies to foreign investment, the potential volatility of investment-induced instability to the financial system in these economies should be on the radar of the central banks. Attracting more FDI is expected to increase overall national productivity through competition. However, government would be wise to enact a policy to maximize benefits and minimize potential harm to local industry. In addition, to achieve the goal of the new economic model, in turning the GCC economies into high-income and knowledge-driven economies by 2030, enhancement of efficiency and the quality of the workforce will contribute to creating productivity-driven economies.

Originality/value

It is widely recognized that FDI inflows are of great importance to the financial performance development of emerging and developing countries. However, their impact on bank loans has so far not been subject to accurate empirical assessment. This paper aims to fill this gap by providing an in-depth quantitative analysis of the impact of FDI inflow and FDI stock, separately, on bank loans for both conventional and Islamic banks in GCC countries. It distinguishes between direct and indirect channels through which FDI inflows may affect bank loans. The study uses both static and dynamic panel GMM estimation techniques to analyze the data.

Details

International Journal of Emerging Markets, vol. 18 no. 2
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 13 November 2019

Cheshta Kapuria and Neha Singh

The purpose of this paper is twofold: to explore the interrelationships between FDI with growth and sustainability dimension; and to empirically analyze the four dimensions…

Abstract

Purpose

The purpose of this paper is twofold: to explore the interrelationships between FDI with growth and sustainability dimension; and to empirically analyze the four dimensions, namely, environmental, economic, social and governance of sustainable FDI for South Asia and West Asia.

Design/methodology/approach

The data utilized in the paper is sourced from the World Development Indicators and the Worldwide Governance Indicators, covering South and West Asian region over the period 2011–2017. The paper employed both static and dynamic panel (two-step difference generalized methods of moments) estimation methods.

Findings

The results established a significant and robust relationship of past year FDI inflows with the current year’s value of FDI inflows for both the regions. Further, some variances in the relationships such as control of corruption, long-run carbon emissions, research and development, number of trademark applications as per the contextual factors have been detected.

Research limitations/implications

The conclusions related to gender and governance found in this paper will be of interest to both researchers and policy makers for substantially reorienting the sustainability attributes to the foreign investment.

Originality/value

The authors’ main contributions are: to encapsulate the conceptual framework into an empirical model by combining all the four dimensions, namely, environmental, economic, social and governance; to have analyzed the possible differences and similarities in the study based on South and West Asia; to have explored the relationship between gender and FDI.

Details

Management Decision, vol. 59 no. 4
Type: Research Article
ISSN: 0025-1747

Keywords

Book part
Publication date: 8 March 2011

Chunlai Chen

Large foreign direct investment (FDI) inflow is one of the most important features of China's economic reform and opening up to the outside world. Over the past 30 years, China…

Abstract

Large foreign direct investment (FDI) inflow is one of the most important features of China's economic reform and opening up to the outside world. Over the past 30 years, China has attracted over US$940 billion FDI inflows, making it the largest FDI recipient among the all developing countries. This chapter argues that FDI inflows into China have mostly come from developing economies, concentrated in China's east and southeast coastal regions, and biased toward the manufacturing sector. The large FDI inflows have greatly contributed to China's economic development. FDI has been playing an increasingly important role in China's economy in terms of capital formation, employment creation, export promotion, and integrating with the world economy. The global financial and economic crisis has had negative impact on FDI inflows into China. However, as compared to the large decline in FDI globally, FDI inflows into China have been resilient. China will continue to be one of the most attractive destinations for FDI in the future.

Details

The Evolving Role of Asia in Global Finance
Type: Book
ISBN: 978-0-85724-745-2

Keywords

Open Access
Article
Publication date: 20 November 2023

Devesh Singh

This study aims to examine foreign direct investment (FDI) factors and develops a rational framework for FDI inflow in Western European countries such as France, Germany, the…

Abstract

Purpose

This study aims to examine foreign direct investment (FDI) factors and develops a rational framework for FDI inflow in Western European countries such as France, Germany, the Netherlands, Switzerland, Belgium and Austria.

Design/methodology/approach

Data for this study were collected from the World development indicators (WDI) database from 1995 to 2018. Factors such as economic growth, pollution, trade, domestic capital investment, gross value-added and the financial stability of the country that influence FDI decisions were selected through empirical literature. A framework was developed using interpretable machine learning (IML), decision trees and three-stage least squares simultaneous equation methods for FDI inflow in Western Europe.

Findings

The findings of this study show that there is a difference between the most important and trusted factors for FDI inflow. Additionally, this study shows that machine learning (ML) models can perform better than conventional linear regression models.

Research limitations/implications

This research has several limitations. Ideally, classification accuracies should be higher, and the current scope of this research is limited to examining the performance of FDI determinants within Western Europe.

Practical implications

Through this framework, the national government can understand how investors make their capital allocation decisions in their country. The framework developed in this study can help policymakers better understand the rationality of FDI inflows.

Originality/value

An IML framework has not been developed in prior studies to analyze FDI inflows. Additionally, the author demonstrates the applicability of the IML framework for estimating FDI inflows in Western Europe.

Details

Journal of Economics, Finance and Administrative Science, vol. 29 no. 57
Type: Research Article
ISSN: 2077-1886

Keywords

1 – 10 of over 2000