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This study aims to advance a sub-national perspective within the OLI Paradigm by analyzing how and to what extent the Eclectic Paradigm can serve as a general model to capture region-specific aspects of the location determinants of FDI, encompassing institutional effects that extend beyond the quality of institutions.

The authors conducted a systematic literature review of 41 selected papers published between 1990 and 2019. Using inductive content analysis, they investigated the theoretical choices used to support analyses of the effects of institutional factors on MNEs' location decisions at the sub-national level.

It was found that, when changing from the national to the sub-national level of analysis, there is no need to change the main assumptions used in the literature, although a different perspective must be adopted. The Eclectic Paradigm permeates most of the studies revised and can serve as a general model to capture the sub-national perspective. It offers a foundation for new perspectives on the dynamics of institutional and political factors and their effects on location strategies and determinants at the sub-national level. Adopting the OLI Paradigm with a sub-national approach could widen the IB literature's prevailing focus on traditional economic factors and institutional quality.

The authors contribute to extant International Business literature Their paper enhances the literature on FDI location determinants by providing a more specific approach to development of a sub-national perspective within the OLI Paradigm, extending the institutional effects to capture more region-specific factors influencing the location of FDI. Study limitations are related to our analytical focus on the location dimension, excluding motives for FDI or firm-level location strategies. Rather than limiting analysis to quantitative studies, future research that includes qualitative studies and also covers the other dimensions of the OLI Paradigm could open additional new research avenues for advancing the sub-national perspective within the field of IB.

The authors’ main findings suggest that MNEs' location strategies should include a sub-national perspective, which means that firms need to assess different levels of the location and understand their interaction with nationwide constraints and limitations, as it may affect firms' ability to effectively conduct their value-adding activities. They also contribute elements that can support sub-national governments' actions and policies aiming to enhance locational advantages to attract and retain FDI.

This review specifically analyzes the location determinants of FDI at the sub-national level, in studies published in a broad set of journals, from a variety of fields, prioritizing articles that investigate sub-national institutional determinants. The authors derive implications for the International Business literature and propose that the sub-national dimension should be incorporated into the Eclectic paradigm in order to better understand the influence of institutional sub-national determinants.

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.

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.

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.

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.

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.

The purpose of this paper is to investigate the best determinants of foreign direct investment (FDI) in developing countries.

This paper investigates whether FDI determinants affect FDI based on both a panel of data (FMOLS‐fully modified OLS) and cross‐section SUR (seemingly unrelated regression) for 24 developing countries, over the period 1983‐2005 for FMOLS and 1976‐2005 for cross‐section SUR.

The interaction of FDI with some FDI determinants have a strong positive effect on economic progress in developing countries, while the interaction of FDI with the total debt service/GDP and inflation have a negative impact. The most important determinant of FDI is the communication variable.

The limitations of the study are based on the development of data set which could be found uninterrupted for 30 years in 24 developing countries.

The main objective of this study is to define the main FDI determinants that show the capital flows to developing countries in a globalization framework. The secondary objective of this study is to assign countries' convergence by using the same FDI determinants. FDI flow is one of the main dynamics of globalization phenomenon thus FDI flow determinations will contribute to countries' process of political development.

This paper sets out to analyze the determinants of foreign direct investment (FDI) on both the country and regional level through the extensive review of past research studies, as well as through the development of a multiple regression model for identifying key determinants of FDI at the regional level in China during the critical year of 2002.

The development of a multiple regression model to identify statistically significant determinants of FDI by region in China.

As reforms continue to take place, FDI in China has been unevenly distributed. This paper examines five potential determinants of FDI in 30 regions (including provinces, centrally controlled municipalities, and semi‐autonomous regions) of China using a regression model. The specific focus is on 2002, as it is the first full year after China's accession to the World Trade Organization, and the first year in which China exceeded the USA in attracting FDI. From this initial study, one can conclude that the government should consider encouraging capital‐intensive FDI through the further development of a skilled workforce. This means increasing funding for higher education, and infrastructure, while also encouraging more openness in state‐owned enterprises. This paper sets up further research that may help expose regions with greater potential for FDI, as well as identifying regions which need to improve certain conditions in order to receive more FDI.

This paper analyzes the determinants of FDI by region in China in 2002. This year is particularly interesting as it is both the first full year after China's accession to the World Trade Organization, as well as the first year in which FDI was greater in China than in the USA While this research study is only a snap shot of a topic that is of increasing importance to China, it has direct relevance to the FDI development efforts of the individual regions. This study provides evidence that GDP that proxies for the market size and potential is shown to be a big attraction for FDI. Labor quality and the progress of reform or the degree of openness are also important determinants of the distribution of FDI. There is some mild evidence that high labor cost deters the inflow of FDI and the level of infrastructure has positive relation to FDI. These results have important implications for both the central and regional governments as they can be useful in helping the authorities to allocate funds and resources which will help attract FDI.

Foreign direct investment (FDI) is a strategic decision for achieving competitive advantage by multinational enterprises. The purpose of this paper is to explore the role of institutional determinants of FDI using data from 24 emerging markets including China, India, Indonesia, Turkey, Thailand, Malaysia and Pakistan.

In order to identify factors that attract FDI in emerging markets, this study has used data from sources such as the World Bank, Index of Economic Freedom and UNCTAD.

The findings of this research indicate that infrastructure quality, trade cost measured by tariff and non-tariff barriers, institutional quality measured by effective rule of law, political stability, regulatory quality and control on corruption are significant determinants of FDI in emerging markets.

This is the first study to analyze the sectoral institutional determinants of Inward FDI in the important emerging economies, to the best of authors’ knowledge.

The purpose of this paper is to investigate the potential determinants of FDI, in developed and developing countries.

This paper investigates FDI determinants based on panel data analysis using static and dynamic modeling for 20 countries (11 developed and 9 developing), over the period 2004-2013. For static model estimations, Hausman (1978) test indicates the applicability of fixed effect/random effect, while generalized moments of methods (GMM) (dynamic model) is used to capture endogeneity and unobserved heterogeneity.

The outcome across different countries depicts diverse results. In developed countries, FDI seeks policy-related determinants (GDP growth, trade openness, and freedom index), and in developing country FDI showed positive association for economic determinants (gross fixed capital formulation (GFCF), trade openness, and efficiency variables).

The destination of FDI is limited to 20 countries in the present paper. The indicator of the institutional environment, namely economic freedom index, used in this paper has received some criticism in calculations.

The paper enlists recommendations for future FDI policies and may assist government in providing a tactical framework for skill development, thereby increasing manufacturing growth rate. The paper also throws light on vertical and horizontal capital inflows considering resource, strategy, and market-seeking FDI.

FDI may bring significant benefits by creating high-quality jobs, introducing modern production and management practices. It highlights how multinational corporations and government contribute to better working conditions in host countries.

The paper uncovers important features like macroeconomic variables, especially country-wise efficiency scores, policy variables, GFCF, and freedom index, for determining FDI inflows in 20 countries using panel data methods and provides a roadmap for developed and developing countries. The study highlights endogeneity and unobserved heteroscedasticity by applying GMM one- and two-step procedure.

The purpose of this paper is to examine the determinants of foreign direct investment (FDI) in producer services in China using both country aggregate and provincial sub-sectoral data.

This paper applies autoregressive distributed lag (ARDL) cointegration and panel data regression approaches in examining the determinants of Producer Service FDI (PSFDI).

Our results show differences between the determinants of aggregate FDI and PSFDI. Contrary to the typical influencing factors of general FDI (that include GDP, openness, low wages and environmental quality), the two main determinants of PSFDI inflows to China are found to be high wages and research inputs (specifically the number of research workers as a proxy for research intensity). Data drawn from 26 Chinese provinces disaggregated at sub-sector level of producer services corroborate the results.

We add to existing literature by identifying the key determinants of inward PSFDI in China also via a provincial-level data analysis and disaggregation at sub-sectoral level of producer services.

This empirical analysis tries to examine determinants of private foreign direct investment (FDI) in Pakistan using the bounds test approach. Main determinants of FDI among them are the size of the market (Q) macroeconomic stability (r), political stability (PRS), real exchange rate (REX) and institutional quality (INQ).

This study used annual time-series data set starting from 1980 to 2016. This study has used time-series data with ARDL and error-correction model (ECM) and examined main determinants of FDI for Pakistan. The study used the Granger causality test (modified WALD test) to identify the causality among the variables.

Moreover, empirical findings indicate the long-run relationship between GDP, trade openness and institutional quality toward FDI. However, political instability, inflation and real exchange rate harm FDI in Pakistan. Furthermore, results of Granger causality indicate that the bidirectional causality running from FDI and Q toward FDI is significant, providing evidence of FDI-led growth hypotheses in Pakistan. This study determines the correlation between FDI and Q (GDP growth) related to the “feedback hypothesis” in the short and long run. This study also concludes that the short-run causal connection among FDI, REX, PRS, r and Q follows the “feedback hypothesis.” This describes that FDI, REX, PRS, r and Q variables are jointly determined and affected together.

This study also explores the causal association between FDI and its significant determinants, by using methods of Granger causality test and the approach of Toda-Yamamoto-DoladoLutkephol (TYDL) to examine the causal relationship and its directions among these variables.

The purpose of this paper is to identify key determinants of foreign direct investment (FDI) inflows in developing countries by using unbalanced panel data set pertaining to the years 1990-2012. This study considers 20 developing countries from the whole of South, East and South-East Asia.

Using seven explanatory variables (market size, trade openness, infrastructure, inflation, interest rate, research and development and human capital), the authors have tried to find the best fit model from the two models considered (fixed effect model and random effect model) with the help of Hausman test.

Fixed effect estimation indicates that market size, trade openness, interest rate and human capital yield significant coefficients in relation to FDI inflow for the panel of developing countries under study. The findings reveal that market size is the most significant determinant of FDI inflow.

Like any other study, this work also has some limitations. Lack of data on key determinants such as labor cost, exchange rate, corruption, natural resources, effectiveness of rule of law and political risk may be considered one such limitation. Further, controlling for variables such as exchange rate, corruption, labor cost and political risk could make significant improvements to this study.

This study has significant implications for policy makers, mangers and investors. Policy makers would be able to understand the importance of the major determinants of FDI mentioned in the paper, and take steps to formulate policies that encourage FDI. Such measures could include developing market size, making regulations more international trade friendly and investing in the nation’s human capital. Further, steps could be taken to keep interest rates and inflation rates under control as these factors have been found to influence FDI.

The sample of 20 developing nations chosen for this study has not been considered by any study earlier. This is a unique contribution to existing body of research, and highlights the originality value of this paper.

This paper aims to synthesize, analyze and categorize the empirical literature on country-specific factors that affect foreign direct investment (FDI) inflows to the Middle East and North Africa (MENA) region. Identifying gaps and methodological challenges in the reviewed articles, recommendations are made to guide future research.

Applying the systematic review methodology, content analysis is conducted of 42 relevant empirical studies that explore country-specific FDI determinants in the MENA region during the period 1998–2018.

This review study identifies four main research gaps in the extant literature: a lack of consensus on a common definition of the MENA region and a weak understanding of the specificities of its investment environment; a limited set of FDI theories used and a lack of other theoretical perspectives; a recurrent focus on the direct relationship between host country–specific determinants and FDI, thus ignoring the moderating and mediating effects of some variables; and the absence of certain country-specific factors pertaining to the MENA countries.

This study contributes to the international business field by enhancing our understanding of the FDI determinants in emerging and developing markets, especially the MENA countries. It develops a typology of FDI country-specific factors in the MENA region based on four main categories: macroeconomic and financial, institutional and regulatory, natural resource endowment and socio-cultural. Paths for future research are suggested.