Political risk management of foreign direct investment in infrastructure projects

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weiling Jiang ◽  
Igor Martek ◽  
M. Reza Hosseini ◽  
Chuan Chen
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Developing Countries ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Political Risk ◽  
Infrastructure Projects ◽  
Content Type ◽  
The Impact ◽  
Whole Life Cycle

Purpose Foreign direct investment in the infrastructure (FDII) of developing countries has a history of at least four decades. Bullish demand for foreign infrastructure services in developing countries, in combination with unstable political environments, has buoyed attention in political risk management (PRM). Even so, research into PRM of FDII remains fragmented and unmapped. Thus, the purpose of this paper is to identify the current body of knowledge in this area, uncover deficiencies and lay the foundation for further practical PRM research in FDII. Design/methodology/approach This paper offers a bibliometric-qualitative review of current literature on political risk in foreign infrastructure in developing countries. A 36-year period is identified, from 1983 to 2018. Publication year, area of focus, author(s), institution and country are classified and analyzed through the medium of social network analysis. The tools used are VOSviewer, CiteSpace and Gephi to analyze citation networks of 345 published papers. Out of 345 papers, 94 highly related studies were selected for further content analysis. Findings The study identified the research trends in related areas of PRM in infrastructure (e.g. PRM in international construction and foreign direct investment) by bibliometric analysis, which includes scattered researcher collaboration, wide-ranging and unfocused journal selection, unsystematic and discontinuous research themes. The specific research weakness in PRM in FDII is recognized by qualitative analysis from the perspective of PRM process, which reveals a lack of understanding of the impact of political risk factors, subjective risk estimations, lacking application of mature political risk database in FDII, combined with a shortage of complete and effective strategies for PRM in FDII in developing countries. Originality/value This paper is the first of its kind, providing a comprehensive benchmark survey of the research to date in PRM in foreign infrastructure investment in developing countries. It proposes a framework of future research agenda on PRM in FDII, including special issues on this topic, identification and assessment of political risk factors with objective methods, proposition of PRM strategies on FDII with proactive and active approaches, completing strategies of PRM with reactive strategies from the perspectives of whole life cycle of infrastructure projects, political risk factors and stakeholders. It also addressed the need to investigate the suitable literature databases for researching in this area.

scholarly journals FOREIGN INFRASTRUCTURE INVESTMENT IN DEVELOPING COUNTRIES: A DYNAMIC PANEL DATA MODEL OF POLITICAL RISK IMPACTS

2019 ◽  
Vol 25 (2) ◽  
pp. 134-167 ◽  
Author(s):  
Weiling Jiang ◽  
Igor Martek ◽  
M. Reza Hosseini ◽  
Jolanta Tamošaitienė ◽  
Chuan Chen
Keyword(s):  
Developing Countries ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Capital Investment ◽  
Risk Mitigation ◽  
Political Risk ◽  
Dynamic Panel Data ◽  
Mitigation Strategies ◽  
Risk Indicators ◽  
The Impact

Foreign direct investment (FDI) is inhibited by political risk. Developing countries tend to experience higher levels of such risk, yet need foreign capital to generate growth. Moreover, foreign direct investment in infrastructure (FDII) – fundamental to economic growth – is particularly sensitive to political risk; characterized by high capital investment, longer investment periods, while especially exposed to mercurial shifts in government policy. Yet, no comprehensive study has been undertaken that measures the impact of political risk on FDII in developing countries. This paper addresses this lack. Twelve political risk indicators, drawn from the International Country Risk Guide Index, are used to quantify the political risk inherent to 90 developing countries, over the period 2006 to 2015. An Arellano-Bond GMM estimator is developed which measures the dollar value impact of risk on both FDI and FDII. A comparison of results confirms that FDII is generally more sensitive to risk than is FDI, however the influence of risk categories is found to vary significantly. The findings can be expected to inform infrastructure policy-makers and foreign investors alike on the dollar-impact of determinable risk levels on foreign-funded projects, and in so doing better facilitate corrective risk mitigation strategies.

Does foreign direct investment influence R&D activity in the host country? Evidence from Vietnam

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Van Ha ◽  
Mark J. Holmes ◽  
Gazi Hassan
Keyword(s):  
Foreign Direct Investment ◽  
Foreign Investment ◽  
Direct Investment ◽  
Probit Model ◽  
Innovation Activity ◽  
Heckman Selection Model ◽  
Content Type ◽  
Domestic Firms ◽  
The Impact ◽  
Local Firms

PurposeThis study focuses on the linkages between foreign direct investment and the research and development (R&D) and innovation activity of domestic enterprises in Vietnam.Design/methodology/approachThe Heckman selection model approach is applied to a panel dataset of nearly 7,000 Vietnamese firms for the 2011–2015 study period to investigate the impact of foreign presence on the R&D of local firms through horizontal and vertical linkages. Probit model estimation is employed to examine how foreign investment influences the innovation activity of local companies.FindingsWhile there are a small number of firms carrying out R&D activities in Vietnam, foreign or joint domestic–foreign venture firms are less inclined than domestic firms to undertake R&D. Domestic factors that include capital, labor quality, location and export status of firm have a significant effect on the decision of domestic firms to participate in R&D activity. Only forward linkages and the gross firm output are found to have an impact on the R&D intensity of domestic enterprises, while other factors appear to have no significant influence on how much firms spend on R&D activities.Practical implicationsIn order to promote the R&D activity of domestic firms, policy should focus on (1) the backward linkages between local firms in downstream sectors with their foreign suppliers in upstream sectors, and (2) the internal factors such as labor, capital or location that affect the decisions made by domestic firms.Originality/valueGiven that foreign investment may affect R&D and innovation activity of local firms in host countries, the impact is relatively unexplored for many emerging economies and not so in the case of Vietnam. The availability of a unique survey on Vietnamese firm technology and competitiveness provides the opportunity to address this gap in the literature.

scholarly journals Impact of foreign direct investment, remittances and official development assistance on economic growth: panel data approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amna Zardoub ◽  
Faouzi Sboui
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Development Assistance ◽  
Business Environment ◽  
Official Development Assistance ◽  
Financial Flows ◽  
Content Type

PurposeGlobalization occupies a central research activity and remains an increasingly controversial phenomenon in economics. This phenomenon corresponds to a subject that can be criticized through its impact on national economies. On the other hand, the world economy is evolving in a liberalized environment in which foreign direct investment plays a fundamental role in the economic development of each country. The advent of financial flows – FDI, remittances and official development assistance – can be a key factor in the development of the economy. The subject of this article is to analyses the effect of financial flows on economic growth in developing countries. Empirically, different approaches have been employed. As part of this work, an attempt was made to use a panel data approach. The results indicate ambiguous effects and confirm the results of previous work.Design/methodology/approachThe authors seek to study the effect of foreign direct investment, remittances and official development assistance (ODA) and some control variables i.e. domestic credit, life expectancy, gross fixed capital formation (GFCF), inflation and three institutional factors on economic growth in developing countries by adopting the panel data methodology. Then, the authors will discuss empirical tests to assess the econometric relevance of the model specification before presenting the analysis of the results and their interpretations that lead to economic policy implications. As part of this work, the authors have rolled panel data for developing countries at an annual frequency during the period from 1990 to 2016. In a first stage of empirical analysis, the authors will carry out a technical study of the heterogeneity test of the individual fixed effects of the countries. This kind of analysis makes it possible to identify the problems retained in the specific choice of econometric modeling to be undertaken in the specificities of the panel data.FindingsThe empirical results validate the hypotheses put forward and indicate the evidence of an ambiguous effect of financial flows on economic growth. The empirical findings from this analysis suggest the use of economic-type solutions to resolve some of the shortcomings encountered in terms of unexpected effects. Governments in these countries should improve the business environment by establishing a framework that further encourages domestic and foreign investment.Originality/valueIn this article, the authors adopt the panel data to study the links between financial flows and economic growth. The authors considered four groups of countries by income.

Does the origin matter? The effects of cross-border mergers and acquisitions in France

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Federico Carril-Caccia
Keyword(s):  
Foreign Direct Investment ◽  
Mergers And Acquisitions ◽  
Direct Investment ◽  
Developed Countries ◽  
Emerging Countries ◽  
Intangible Asset ◽  
Data Set ◽  
Content Type ◽  
Cross Border ◽  
The Impact

PurposeThe present article analyses the effects of cross-border mergers and acquisitions (CBM&As) on targets' total factor productivity (TFP), employment, wages and intangible-asset investment. The author investigates whether the impact of CBM&As differs depending on the origin of the investing multinational (MNE). The author distinguishes between CBM&As from European countries, other developed countries and emerging countries.Design/methodology/approachThe author makes use of a unique firm-level data set of foreign direct investment in the French manufacturing sector. The authors applies propensity score matching and difference in differences to estimate the effect of CBM&As.FindingsThe results show that the consequences of CBM&As differ strongly depending on the origin. CBM&As from European MNEs have a positive impact on TFP, wages and intangible-asset investment, and those from emerging countries seem to increase wages and intangible-asset investments. In contrast, CBM&As that originate from MNEs from other developed countries do not have a significant effect.Originality/valueThis article contributes to the growing literature on the effects of foreign direct investment that highlights the relevance of accounting for the MNEs' origin. In particular, it is the first to address the impact of emerging-country MNEs' CBM&As in Europe.

scholarly journals European intellectual property institutions and Chinese foreign direct investment

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Constantinos Alexiou ◽  
Sofoklis Vogiazas
Keyword(s):  
Foreign Direct Investment ◽  
Intellectual Property ◽  
Direct Investment ◽  
Trade Openness ◽  
Negative Relationship ◽  
Preliminary Evidence ◽  
Institutional Distance ◽  
Content Type ◽  
Chinese Foreign Direct Investment ◽  
The Impact

PurposeWe investigate the impact of the strength of intellectual property (IP) institutions on Chinese outward foreign direct investment (OFDI).Design/methodology/approachWe use two different measures of IP on a sample of 21 European countries in the period 2003–2015. Panel quantile methodology is applied to assess the relationship at several points of the conditional distribution of OFDI.FindingsWe provide novel and robust evidence revealing a highly negative relationship between OFDI and the strength of IP institutions in Europe. This relationship which is more pronounced in the median and upper-quantiles, bolsters the conventional theoretical expectation that high institutional distance between home and host countries is inversely related to OFDI. Equally important is the preliminary evidence of the non-linear impact of IP at the median and upper-quantiles as well as the impact of other controlling variables such as GDP, population, trade openness and unit labour costs on Chinese OFDI.Originality/valueThe ensuing theoretical implications are of great significance for future studies on the institutional distance and drivers of OFDI by emerging economies as well as for European policymakers in so far as the strengthening of IP institutions constitutes a gravitational point for inward investment flows from China.

Do surges in foreign direct investment inflows lead to surges in economic growth? Evidence from developing countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jagadish Prasad Sahu
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Domestic Investment ◽  
Fdi Inflows ◽  
Content Type ◽  
Regression Methods ◽  
Recursive Bivariate Probit ◽  
Rapid Economic Growth

Purpose The purpose of this paper is to examine whether surge in foreign direct investment (FDI) inflows leads to surge in economic growth in 52 developing countries for the period 1990-2014. Design/methodology/approach The author used a threshold approach to identify surge incidences in gross domestic product (GDP) per capita growth rates and FDI inflows (measured as percentage of GDP) for each country included in the sample. Three different criteria are used to identify surge instances. As a preliminary analysis the author used the probit and complementary log–log regression methods to estimate the likelihood of growth surge occurrence. To correct the potential endogeneity problem the author jointly estimated the growth surge and FDI surge equations using the recursive bivariate probit (RBP) regression. Findings The author found that East Asia and the Pacific region has highest rate of growth surge incidences followed by South Asia. The results suggest that surge in FDI inflows significantly increases the likelihood of growth surge. The finding is robust to alternative surge definitions and methods of estimation. Practical implications The analysis reveals that inbound FDI flow is a critical driver of economic growth in developing countries. Large FDI inflows matters for achieving rapid economic growth. Therefore developing countries should adopt favourable policies to attract more FDI. Policymakers should focus on improving the investment climate of the country to boost domestic investment and to attract larger amount of FDI into the economy. Originality/value To the best of the author’s knowledge this is the first study to examine whether surge in FDI inflows stimulates surge in economic growth in developing countries. The analysis reveals that FDI surge is a robust predictor of rapid economic growth in developing countries.

scholarly journals The long run relationship between fish production, marine trade balance and foreign direct investment

2020 ◽  
Vol 5 (3) ◽  
pp. 271-280
Author(s):  
Naseem H. Jamei ◽  
Mira Nurmakhanova ◽  
Shahbaz Mustafa ◽  
Alloysius Egbulonu ◽  
Wagdi Hadidan
Keyword(s):  
Foreign Direct Investment ◽  
Trade Balance ◽  
Direct Investment ◽  
Design Methodology ◽  
Fish Production ◽  
Content Type ◽  
Gulf Countries ◽  
Long Run ◽  
Short Run ◽  
The Impact

Purpose This paper aims to focus on testing the long-run relationship between fish production and two main variables, the foreign direct investment inflow and the marine trade balance in Oman, which is one of the Arab Gulf countries, during the period 1985-2016. Design/methodology/approach This study uses what known as the two-step Engle–Granger cointegration test to give evidence for the long-run relationship among the variables. Findings The results show that there are a negative long- and short-run relations between fish production and marine trade balance; moreover, any shocks will be corrected within two periods at the most.  Originality/value This study is one of few studies in using the econometric models to study the impact of fish production on marine trade balance and foreign direct investment.

Korea’s Foreign Direct Investment in the Automotive Industry in China

China Report ◽  
2018 ◽  
Vol 54 (2) ◽  
pp. 175-193 ◽  
Author(s):  
Jungmin Lee ◽  
Jai S. Mah
Keyword(s):  
Developing Countries ◽  
Foreign Direct Investment ◽  
Technology Transfer ◽  
Automotive Industry ◽  
Direct Investment ◽  
Policy Implications ◽  
Foreign Firms ◽  
Job Opportunities ◽  
Korean Firm ◽  
The Impact

This article examines the impact of foreign-invested enterprises in the development of China’s automotive industry. It particularly focuses on the case of foreign direct investment (FDI) by a Korean firm, namely, the Hyundai Motor Company, in China. The Chinese government’s policy regarding the automotive industry allowed China’s domestic manufacturers to benefit from technology transfer, as foreign firms were not allowed to invest exclusively in China without a partnership. The contribution of Korea’s investment in China’s automotive industry would comprise the creation of job opportunities, technology transfer and the development of the automobile parts industry. Korea’s investment in the automotive industry of China has policy implications for China and other developing countries trying to expand their technology-intensive industries.

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